SlideShare a Scribd company logo
1 of 104
Download to read offline
The unreasonable effectiveness of algebra
        (but don’t take it for granted)


              James Davenport

                University of Bath
                (visiting Waterloo)


                11 June 2009
What is the derivative of sin x?
What is the derivative of sin x?


                              sin(x + δ) − sin(x)
                f (x) = lim
                       δ→0             δ
What is the derivative of sin x?


                              sin(x + δ) − sin(x)
                f (x) = lim
                       δ→0             δ

                                     sin(x + δ) − sin(x)
        ∀ > 0∃D : δ < D ⇒ f (x) −                        <
                                              δ
What is the derivative of sin x?


                                 sin(x + δ) − sin(x)
                   f (x) = lim
                          δ→0             δ

                                        sin(x + δ) − sin(x)
        ∀ > 0∃D : δ < D ⇒ f (x) −                           <
                                                 δ
   sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can
   make the choice f (x) = cos(x).
What is the derivative of sin x?


                                 sin(x + δ) − sin(x)
                   f (x) = lim
                          δ→0             δ

                                        sin(x + δ) − sin(x)
        ∀ > 0∃D : δ < D ⇒ f (x) −                           <
                                                 δ
   sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can
   make the choice f (x) = cos(x). We can then take
         1     √
   D = 2 min( , 1), and some simple algebra shows the result.
What is the derivative of sin x?


                                 sin(x + δ) − sin(x)
                   f (x) = lim
                          δ→0             δ

                                        sin(x + δ) − sin(x)
        ∀ > 0∃D : δ < D ⇒ f (x) −                           <
                                                 δ
   sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can
   make the choice f (x) = cos(x). We can then take
         1     √
   D = 2 min( , 1), and some simple algebra shows the result.
   Did any of you do that?
What is the derivative of sin x?


                                   sin(x + δ) − sin(x)
                    f (x) = lim
                             δ→0            δ

                                           sin(x + δ) − sin(x)
         ∀ > 0∃D : δ < D ⇒ f (x) −                             <
                                                    δ
   sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can
   make the choice f (x) = cos(x). We can then take
         1     √
   D = 2 min( , 1), and some simple algebra shows the result.
   Did any of you do that?              √
   Did any of you take D = 2 max(| min( ,1)
                                    cos(x)|,| sin(x)|,1) to allow for x ∈ C?
What is the derivative of sin x?


                                   sin(x + δ) − sin(x)
                    f (x) = lim
                             δ→0            δ

                                           sin(x + δ) − sin(x)
         ∀ > 0∃D : δ < D ⇒ f (x) −                             <
                                                    δ
   sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can
   make the choice f (x) = cos(x). We can then take
         1     √
   D = 2 min( , 1), and some simple algebra shows the result.
   Did any of you do that?              √
   Did any of you take D = 2 max(| min( ,1)
                                    cos(x)|,| sin(x)|,1) to allow for x ∈ C?
   Or did you “just know it”?
π/2
What is the integral:   0    cos x?
π/2
What is the integral:       0    cos x?



                I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)]
                    |∆|→0                |∆|→0

   (∆ ranges over all dissections of [0, π/2])
π/2
What is the integral:       0    cos x?



                I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)]
                    |∆|→0                |∆|→0

   (∆ ranges over all dissections of [0, π/2])
   Does anyone actually do this?
π/2
What is the integral:       0    cos x?



                I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)]
                    |∆|→0                |∆|→0

   (∆ ranges over all dissections of [0, π/2])
   Does anyone actually do this?
   Can anyone actually do this?
π/2
What is the integral:      0    cos x?



               I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)]
                   |∆|→0               |∆|→0

   (∆ ranges over all dissections of [0, π/2])
   Does anyone actually do this?
   Can anyone actually do this?
   Or do we say “well, we have proved that sin = cos, so   cos = sin,
   and therefore the answer is sin π − sin 0 = 1?
                                   2
π/2
What is the integral:      0    cos x?



               I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)]
                   |∆|→0              |∆|→0

   (∆ ranges over all dissections of [0, π/2])
   Does anyone actually do this?
   Can anyone actually do this?
   Or do we say “well, we have proved that sin = cos, so cos = sin,
   and therefore the answer is sin π − sin 0 = 1?
                                   2
   We might say “therefore, by the Fundamental Theorem of
   Calculus, . . . ”
What is the Fundamental Theorem of Calculus?
What is the Fundamental Theorem of Calculus?

   Indeed, what is calculus?
What is the Fundamental Theorem of Calculus?

   Indeed, what is calculus?
        . . . the deism of Liebniz over the dotage of Newton . . .
        [Babbage, chapter 4]
What is the Fundamental Theorem of Calculus?

   Indeed, what is calculus?
        . . . the deism of Liebniz over the dotage of Newton . . .
        [Babbage, chapter 4]

   I claim that calculus is actually the interesting fusion of two,
   different subjects.
What is the Fundamental Theorem of Calculus?

   Indeed, what is calculus?
        . . . the deism of Liebniz over the dotage of Newton . . .
        [Babbage, chapter 4]

   I claim that calculus is actually the interesting fusion of two,
   different subjects.
        What you learned in calculus, which I shall write as D δ : the
        “differentiation of –δ analysis”. Also d d x , and its inverse
                                                δ
         δ .
What is the Fundamental Theorem of Calculus?

   Indeed, what is calculus?
        . . . the deism of Liebniz over the dotage of Newton . . .
        [Babbage, chapter 4]

   I claim that calculus is actually the interesting fusion of two,
   different subjects.
        What you learned in calculus, which I shall write as D δ : the
        “differentiation of –δ analysis”. Also d d x , and its inverse
                                                δ
         δ .
        What is taught in differential algebra, which I shall write as
                                                                  d
        DDA : the “differentiation of differential algebra”. Also dDA x ,
        and its inverse DA .
D δ (for functions R → R)
D δ (for functions R → R)

   Define CL(f , x0 ) (the “Cauchy Limit”) as

                                       f (x0 + h) − f (x0 )
                    CL(f , x0 ) = lim
                                   h→0          h
   and D δ (f ) = λx. CL(f , x).
D δ (for functions R → R)

   Define CL(f , x0 ) (the “Cauchy Limit”) as

                                    f (x0 + h) − f (x0 )
                   CL(f , x0 ) = lim
                                h→0          h
   and D δ (f ) = λx. CL(f , x). Then the following are theorems.
D δ (for functions R → R)

   Define CL(f , x0 ) (the “Cauchy Limit”) as

                                      f (x0 + h) − f (x0 )
                     CL(f , x0 ) = lim
                                  h→0          h
   and D δ (f ) = λx. CL(f , x). Then the following are theorems.
       D δ (c) = 0       ∀c constants.
D δ (for functions R → R)

   Define CL(f , x0 ) (the “Cauchy Limit”) as

                                      f (x0 + h) − f (x0 )
                     CL(f , x0 ) = lim
                                  h→0          h
   and D δ (f ) = λx. CL(f , x). Then the following are theorems.
       D δ (c) = 0       ∀c constants.
       CL(f + g , x0 ) = CL(f , x0 ) + CL(g , x0 ), so
       D δ (f + g ) = D δ (f ) + D δ (g ).
D δ (for functions R → R)

   Define CL(f , x0 ) (the “Cauchy Limit”) as

                                      f (x0 + h) − f (x0 )
                     CL(f , x0 ) = lim
                                  h→0          h
   and D δ (f ) = λx. CL(f , x). Then the following are theorems.
       D δ (c) = 0       ∀c constants.
       CL(f + g , x0 ) = CL(f , x0 ) + CL(g , x0 ), so
       D δ (f + g ) = D δ (f ) + D δ (g ).
       CL(fg , x0 ) = CL(f , x0 )g (x0 ) + f (x0 ) CL(g , x0 ), so
       D δ (fg ) = D δ (f )g + fD δ (g ).
D δ (for functions R → R)

   Define CL(f , x0 ) (the “Cauchy Limit”) as

                                      f (x0 + h) − f (x0 )
                     CL(f , x0 ) = lim
                                  h→0          h
   and D δ (f ) = λx. CL(f , x). Then the following are theorems.
       D δ (c) = 0       ∀c constants.
       CL(f + g , x0 ) = CL(f , x0 ) + CL(g , x0 ), so
       D δ (f + g ) = D δ (f ) + D δ (g ).
       CL(fg , x0 ) = CL(f , x0 )g (x0 ) + f (x0 ) CL(g , x0 ), so
       D δ (fg ) = D δ (f )g + fD δ (g ).
       D δ (λx.f (g (x))) = D δ (g )λx.D δ (f )(g (x)). (Chain rule)
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
       DDA (f + g ) = DDA (f ) + DDA (g )
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
       DDA (f + g ) = DDA (f ) + DDA (g )
       DDA (fg ) = DDA (f )g + fDDA (g )
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
       DDA (f + g ) = DDA (f ) + DDA (g )
       DDA (fg ) = DDA (f )g + fDDA (g )
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
       DDA (f + g ) = DDA (f ) + DDA (g )
       DDA (fg ) = DDA (f )g + fDDA (g )
   Corollaries:
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
       DDA (f + g ) = DDA (f ) + DDA (g )
       DDA (fg ) = DDA (f )g + fDDA (g )
   Corollaries:
       DDA (c) = 0 for all c algebraic over 1 .
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
       DDA (f + g ) = DDA (f ) + DDA (g )
       DDA (fg ) = DDA (f )g + fDDA (g )
   Corollaries:
       DDA (c) = 0 for all c algebraic over 1 .
             f       DDA (f )g −fDDA (g )
       DDA ( g ) =            g2
                                          .
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
       DDA (f + g ) = DDA (f ) + DDA (g )
       DDA (fg ) = DDA (f )g + fDDA (g )
   Corollaries:
       DDA (c) = 0 for all c algebraic over 1 .
             f       DDA (f )g −fDDA (g )
       DDA ( g ) =            g2
                                          .
       DDA extends uniquely to algebraic extensions.
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
       DDA (f + g ) = DDA (f ) + DDA (g )
       DDA (fg ) = DDA (f )g + fDDA (g )
   Corollaries:
       DDA (c) = 0 for all c algebraic over 1 .
             f       DDA (f )g −fDDA (g )
       DDA ( g ) =            g2
                                          .
       DDA extends uniquely to algebraic extensions.
DDA (for any ring R of characteristic 0)


   Definition: DDA : R → R is a derivation on R if it satisfies:
       DDA (f + g ) = DDA (f ) + DDA (g )
       DDA (fg ) = DDA (f )g + fDDA (g )
   Corollaries:
       DDA (c) = 0 for all c algebraic over 1 .
             f       DDA (f )g −fDDA (g )
       DDA ( g ) =            g2
                                          .
       DDA extends uniquely to algebraic extensions.
   Note that there is no Chain Rule as such, since composition is not
   necessarily a defined concept on R.
A note on the word “constant”
A note on the word “constant”




   We said
       DDA (c) = 0 for all c algebraic over 1 .
A note on the word “constant”




   We said
       DDA (c) = 0 for all c algebraic over 1 .
       “constants differentiate to 0”
A note on the word “constant”




   We said
       DDA (c) = 0 for all c algebraic over 1 .
       “constants differentiate to 0”
A note on the word “constant”




   We said
       DDA (c) = 0 for all c algebraic over 1 .
       “constants differentiate to 0”
   By abuse of language, we say that anything that differentiates to
   zero is a “constantDA ”.
How are the two subjects related?



   If we define DDA (x) = 1, then DDA is defined on Z[x], and
   extends to Q(x) and indeed Q(x).
How are the two subjects related?



   If we define DDA (x) = 1, then DDA is defined on Z[x], and
   extends to Q(x) and indeed Q(x).
   If we interpret (denoted I) Q(x) as functions R → R, then DDA
   can be interpreted as D δ , i.e.

                       I(DDA (f )) = D δ (I(f ))
How are the two subjects related?



   If we define DDA (x) = 1, then DDA is defined on Z[x], and
   extends to Q(x) and indeed Q(x).
   If we interpret (denoted I) Q(x) as functions R → R, then DDA
   can be interpreted as D δ , i.e.

                         I(DDA (f )) = D δ (I(f ))

   (at least up to removable singularities).
An aside on interpretation

                   (x−1)2               x−1
   Consider L :=    x 2 −1
                             and R :=   x+1 .
An aside on interpretation

                     2
   Consider L := (x−1) and R := x−1 .
                  x 2 −1         x+1
                                                          0
   As elements of Q(x) they are equal, since L − R =   x 2 −1
                                                                = 0.
An aside on interpretation

                      2
   Consider L := (x−1) and R := x−1 .
                   x 2 −1         x+1
   As elements of Q(x) they are equal, since L − R = x 20 = 0.
                                                        −1
   But as formulae (viewed as algorithm specifications), L(1)=“divide
   by zero error”, whereas R(1) = 0.
An aside on interpretation

                      2
   Consider L := (x−1) and R := x−1 .
                   x 2 −1         x+1
   As elements of Q(x) they are equal, since L − R = x 20 = 0.
                                                        −1
   But as formulae (viewed as algorithm specifications), L(1)=“divide
   by zero error”, whereas R(1) = 0.
   Hence the warning about removable singularities!
An aside on interpretation

                      2
   Consider L := (x−1) and R := x−1 .
                   x 2 −1         x+1
   As elements of Q(x) they are equal, since L − R = x 20 = 0.
                                                        −1
   But as formulae (viewed as algorithm specifications), L(1)=“divide
   by zero error”, whereas R(1) = 0.
   Hence the warning about removable singularities!
   Also, note that −1 is not a removable singularity!
An aside on interpretation

                      2
   Consider L := (x−1) and R := x−1 .
                   x 2 −1           x+1
   As elements of Q(x) they are equal, since L − R = x 20 = 0.
                                                        −1
   But as formulae (viewed as algorithm specifications), L(1)=“divide
   by zero error”, whereas R(1) = 0.
   Hence the warning about removable singularities!
   Also, note that −1 is not a removable singularity!
   In the case of Q(x), every element has a “most continuous
   formula”, so interpreting this as R → R can’t go wrong.
An aside on interpretation

                      2
   Consider L := (x−1) and R := x−1 .
                   x 2 −1           x+1
   As elements of Q(x) they are equal, since L − R = x 20 = 0.
                                                         −1
   But as formulae (viewed as algorithm specifications), L(1)=“divide
   by zero error”, whereas R(1) = 0.
   Hence the warning about removable singularities!
   Also, note that −1 is not a removable singularity!
   In the case of Q(x), every element has a “most continuous
   formula”, so interpreting this as R → R can’t go wrong.
   We use I ∗ to indicate “interpretation with removable singularities
   removed”, since there isn’t always a formulaic way of doing so.
An aside on interpretation

                      2
   Consider L := (x−1) and R := x−1 .
                   x 2 −1           x+1
   As elements of Q(x) they are equal, since L − R = x 20 = 0.
                                                         −1
   But as formulae (viewed as algorithm specifications), L(1)=“divide
   by zero error”, whereas R(1) = 0.
   Hence the warning about removable singularities!
   Also, note that −1 is not a removable singularity!
   In the case of Q(x), every element has a “most continuous
   formula”, so interpreting this as R → R can’t go wrong.
   We use I ∗ to indicate “interpretation with removable singularities
   removed”, since there isn’t always a formulaic way of doing so.
   Indeed, there may be no way of interpreting without singularities,
              √
   as in z → z : C → C.
δ   (for functions R → R)
δ    (for functions R → R)



    What is naturally defined is integration over an interval I . We let
    D stand for sub-divisions d1 = a < d2 < · · · < dn = b of I = [a, b],
    and |D| for the largest distance between neighbouring points in D,
    i.e. maxi (di+1 − di ).
δ    (for functions R → R)



    What is naturally defined is integration over an interval I . We let
    D stand for sub-divisions d1 = a < d2 < · · · < dn = b of I = [a, b],
    and |D| for the largest distance between neighbouring points in D,
    i.e. maxi (di+1 − di ). Let
        SD =     i (di+1   − di ) maxdi+1 ≥x≥di f (x);
δ    (for functions R → R)



    What is naturally defined is integration over an interval I . We let
    D stand for sub-divisions d1 = a < d2 < · · · < dn = b of I = [a, b],
    and |D| for the largest distance between neighbouring points in D,
    i.e. maxi (di+1 − di ). Let
        SD =     i (di+1   − di ) maxdi+1 ≥x≥di f (x);
        SD =     i (di+1   − di ) mindi+1 ≥x≥di f (x);
δ     (for functions R → R)



     What is naturally defined is integration over an interval I . We let
     D stand for sub-divisions d1 = a < d2 < · · · < dn = b of I = [a, b],
     and |D| for the largest distance between neighbouring points in D,
     i.e. maxi (di+1 − di ). Let
           SD =    i (di+1   − di ) maxdi+1 ≥x≥di f (x);
           SD =    i (di+1   − di ) mindi+1 ≥x≥di f (x);
    Then    δ I f = lim inf |D|→0 SD = lim sup|D|→0 SD if both exist and
           are equal.
Consequences: Fundamental Theorem of Calculus (FTC δ )

              b         δ [a,b] f       a≤b
   Define   δ a    f =
                        −   δ [b,a] f   a>b
Consequences: Fundamental Theorem of Calculus (FTC δ )

              b         δ [a,b] f   a≤b
   Define   δ a    f =
                       − δ [b,a] f a > b
   (If we’re not careful, we wind up saying “[2,1] is the same set as
   [1,2] except that if you integrate over it you have to add a −
   sign”. What we really have here is the beginnings of contour
   integration.
Consequences: Fundamental Theorem of Calculus (FTC δ )

              b         δ [a,b] f       a≤b
   Define   δ a    f =
                        − δ [b,a] f a > b
   (If we’re not careful, we wind up saying “[2,1] is the same set as
   [1,2] except that if you integrate over it you have to add a −
   sign”. What we really have here is the beginnings of contour
   integration. Apostol theorem 1.20 states that if g (x) ≤ f (x) for
   every x in [a, b], then
                              b                   b
                                  g (x)dx ≤           f (x)dx,
                          a                   a

   and here a < b is implicit.)
Consequences: Fundamental Theorem of Calculus (FTC δ )

              b         δ [a,b] f       a≤b
   Define   δ a    f =
                        − δ [b,a] f a > b
   (If we’re not careful, we wind up saying “[2,1] is the same set as
   [1,2] except that if you integrate over it you have to add a −
   sign”. What we really have here is the beginnings of contour
   integration. Apostol theorem 1.20 states that if g (x) ≤ f (x) for
   every x in [a, b], then
                              b                   b
                                  g (x)dx ≤           f (x)dx,
                          a                   a

   and here a < b is implicit.)
   FTC δ : δ [a,b] D δ f = f (b) − f (a).
Consequences: Fundamental Theorem of Calculus (FTC δ )

              b         δ [a,b] f       a≤b
   Define   δ a    f =
                        − δ [b,a] f a > b
   (If we’re not careful, we wind up saying “[2,1] is the same set as
   [1,2] except that if you integrate over it you have to add a −
   sign”. What we really have here is the beginnings of contour
   integration. Apostol theorem 1.20 states that if g (x) ≤ f (x) for
   every x in [a, b], then
                              b                   b
                                  g (x)dx ≤           f (x)dx,
                          a                   a

   and here a < b is implicit.)
   FTC δ : δ [a,b] D δ f = f (b) − f (a).
                   x
   Or: D δ (λx. δ a f ) = f (if the δ exists).
Consequences: Fundamental Theorem of Calculus (FTC δ )

              b         δ [a,b] f       a≤b
   Define   δ a    f =
                        − δ [b,a] f a > b
   (If we’re not careful, we wind up saying “[2,1] is the same set as
   [1,2] except that if you integrate over it you have to add a −
   sign”. What we really have here is the beginnings of contour
   integration. Apostol theorem 1.20 states that if g (x) ≤ f (x) for
   every x in [a, b], then
                              b                   b
                                  g (x)dx ≤           f (x)dx,
                          a                   a

   and here a < b is implicit.)
   FTC δ : δ [a,b] D δ f = f (b) − f (a).
                   x
   Or: D δ (λx. δ a f ) = f (if the δ exists).
   (Of course, this is normally stated without the λ.)
DA   : FTC becomes a definition
DA    : FTC becomes a definition




     FTCDA : define   DA   f to be any g such that f = DDA g .
DA    : FTC becomes a definition




     FTCDA : define DA f to be any g such that f = DDA g .
     If g and h are two such integrals, then DDA (g − h) = 0, i.e. “g
     and h differ by a constant”.
DA    : FTC becomes a definition




     FTCDA : define DA f to be any g such that f = DDA g .
     If g and h are two such integrals, then DDA (g − h) = 0, i.e. “g
     and h differ by a constant”.
     One difficulty is that this is really a “constantDA ” (something
     whose DDA is zero), and, for example, a Heaviside function is a
     constantDA , though not a constant in the usual sense.
Will the real FTC please stand up?
Will the real FTC please stand up?

   FTC (as it should be taught).
Will the real FTC please stand up?

   FTC (as it should be taught).
   If g = DA f , and I(g ) is continuous on [a, b], then
                            b
                    δ           I(f ) = I(g )(b) − I(g )(a).
                        a
Will the real FTC please stand up?

   FTC (as it should be taught).
   If g = DA f , and I(g ) is continuous on [a, b], then
                            b
                    δ           I(f ) = I(g )(b) − I(g )(a).
                        a

                                                         1
   Note the caveat on continuity: g : x → arctan         x     is discontinuous
   at x = 0 (limx→0− arctan x = −π whereas
                             1
                                    2
   limx→0+ arctan x = π ),
                   1
                         2
Will the real FTC please stand up?

   FTC (as it should be taught).
   If g = DA f , and I(g ) is continuous on [a, b], then
                            b
                    δ           I(f ) = I(g )(b) − I(g )(a).
                        a

                                                    1
   Note the caveat on continuity: g : x → arctan x is discontinuous
                              1     −π
   at x = 0 (limx→0− arctan x = 2 whereas
   limx→0+ arctan x = π ), which accounts for the invalidity of
                   1
                         2
   deducing that the integral of a negative function is positive —
          1
               −1                          π −π  π
                   = I(g )(1) − I(g )(−1) = −   = > 0.
         −1   x2+1                         4  4  2
Rescuing the Fundamental Theorem of Calculus


                              −1                         1
   Of course, another   DA   x 2 +1
                                      is h(x) = arctan   x   + H(x) where
              0     x <0
   H(x) =                is a constantDA . This has a removable
              −π x > 0
   singularity at x = 0.
Rescuing the Fundamental Theorem of Calculus


                              −1                         1
   Of course, another   DA   x 2 +1
                                      is h(x) = arctan   x   + H(x) where
               0     x <0
   H(x) =                   is a constantDA . This has a removable
               −π x > 0
   singularity at x = 0.
   I ∗ (h) is continuous, so FTC is appropriate and
      1
           −1                         π      −π    π
               = I(h)(1) − I(h)(−1) =   −π −    = − < 0.
     −1   x2+1                        4       4    2
“Most continuous expressions” revisited

            1                                     π
   arctan   x   + H(x) can also be rewritten as   2   − arctan(x).
“Most continuous expressions” revisited


   arctan x + H(x) can also be rewritten as π − arctan(x).
            1
                                               2
   In this case π − arctan(x) is a “most continuous formula”.
                2
“Most continuous expressions” revisited


   arctan x + H(x) can also be rewritten as π − arctan(x).
            1
                                               2
   In this case π − arctan(x) is a “most continuous formula”.
                2
                                            1
   (except at ∞, where the original arctan x is continuous!).
“Most continuous expressions” revisited


   arctan x + H(x) can also be rewritten as π − arctan(x).
            1
                                               2
   In this case π − arctan(x) is a “most continuous formula”.
                2
                                            1
   (except at ∞, where the original arctan x is continuous!).
                       z−1
   What about arctan   z+1   ?
“Most continuous expressions” revisited


   arctan x + H(x) can also be rewritten as π − arctan(x).
            1
                                               2
   In this case π − arctan(x) is a “most continuous formula”.
                2
                                            1
   (except at ∞, where the original arctan x is continuous!).
                       z−1
   What about arctan   z+1   ? An equivalent is
                    √                                 √
            z − 1 + z2 + 6 z − 7              z − 1 + z2 + 6 z − 7
   arctan                        −arctan                           +1
                   2(z − 1)                          2(z − 1)
“Most continuous expressions” revisited


   arctan x + H(x) can also be rewritten as π − arctan(x).
            1
                                               2
   In this case π − arctan(x) is a “most continuous formula”.
                2
                                            1
   (except at ∞, where the original arctan x is continuous!).
                       z−1
   What about arctan   z+1   ? An equivalent is
                    √                                 √
            z − 1 + z2 + 6 z − 7              z − 1 + z2 + 6 z − 7
   arctan                        −arctan                           +1
                   2(z − 1)                          2(z − 1)

                       2
   or − arctan −2z−1+z 2 − arctan(z), where the singularities are at
                2
                  z−1+z
         √
   −1 ± 2 (and ∞), or . . . .
“Most continuous expressions” revisited


   arctan x + H(x) can also be rewritten as π − arctan(x).
            1
                                               2
   In this case π − arctan(x) is a “most continuous formula”.
                2
                                            1
   (except at ∞, where the original arctan x is continuous!).
                       z−1
   What about arctan   z+1   ? An equivalent is
                    √                                 √
            z − 1 + z2 + 6 z − 7              z − 1 + z2 + 6 z − 7
   arctan                        −arctan                           +1
                   2(z − 1)                          2(z − 1)

                       2
   or − arctan −2z−1+z 2 − arctan(z), where the singularities are at
                  2
                    z−1+z
          √
   −1 ± 2 (and ∞), or . . . .
   Still an unsolved problem (Rioboo, . . . ).
But I’m not interested in all this DA stuff
But I’m not interested in all this DA stuff



       Surely most people (even engineers) do   δ   etc.
But I’m not interested in all this DA stuff



       Surely most people (even engineers) do   δ   etc.
       They may think they do, but in practice they do     DA   even
       when intending to do δ .
But I’m not interested in all this DA stuff



       Surely most people (even engineers) do     δ   etc.
       They may think they do, but in practice they do        DA   even
       when intending to do δ .
                        1
       What is limh→0   h   (1 + h) cos2 (1 + h) − cos2 1 ?
But I’m not interested in all this DA stuff



       Surely most people (even engineers) do     δ   etc.
       They may think they do, but in practice they do        DA   even
       when intending to do δ .
                        1
       What is limh→0   h   (1 + h) cos2 (1 + h) − cos2 1 ?
       If you immediately said cos2 (1) − 2 sin(1) cos(1)
But I’m not interested in all this DA stuff



       Surely most people (even engineers) do     δ   etc.
       They may think they do, but in practice they do        DA   even
       when intending to do δ .
                        1
       What is limh→0   h   (1 + h) cos2 (1 + h) − cos2 1 ?
       If you immediately said cos2 (1) − 2 sin(1) cos(1)
       I bet you actually did DDA (x cos2 x)|x=1 .
But I’m not interested in all this DA stuff



       Surely most people (even engineers) do     δ   etc.
       They may think they do, but in practice they do        DA   even
       when intending to do δ .
                        1
       What is limh→0   h   (1 + h) cos2 (1 + h) − cos2 1 ?
       If you immediately said cos2 (1) − 2 sin(1) cos(1)
       I bet you actually did DDA (x cos2 x)|x=1 .
       (If you said −.617370845, you probably had Maple on your
       Blackberry, and it did that.)
Conclusions
Conclusions




      We already know that   δ   is a powerful world model
Conclusions




      We already know that   δ   is a powerful world model
      DA   is well-implemented and very powerful
Conclusions




      We already know that      δ   is a powerful world model
      DA       is well-implemented and very powerful
      “e−x 2 has no integral” means “has no            in terms of
                                               DA
      already known functions”
Conclusions




      We already know that      δ   is a powerful world model
      DA       is well-implemented and very powerful
      “e−x 2 has no integral” means “has no            in terms of
                                               DA
      already known functions”
      I does map from one to the other, often very effectively
Conclusions




      We already know that      δ   is a powerful world model
      DA       is well-implemented and very powerful
      “e−x 2 has no integral” means “has no            in terms of
                                               DA
      already known functions”
      I does map from one to the other, often very effectively
      but not always!
I crops up elsewhere
I crops up elsewhere

           √              √        √
   Claim       1 − z2 =       1 − z 1 + z.
I crops up elsewhere

          √           √       √
   Claim 1 − z 2 = 1 − z 1 + z.
   Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some
   interpretation in which it is true.
I crops up elsewhere

          √           √       √
   Claim 1 − z 2 = 1 − z 1 + z.
   Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some
   interpretation in which it is true.
                √        ?√         √
   What about z 2 − 1= z − 1 z + 1.
I crops up elsewhere

          √           √       √
   Claim 1 − z 2 = 1 − z 1 + z.
   Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some
   interpretation in which it is true.
                 √       ?√         √
   What about z 2 − 1= z − 1 z + 1.
   √ same √
   The        arguments apply and there is some interpretation of
                          √
     z 2 − 1,   z − 1 and z + 1 in which it is true, but
I crops up elsewhere

           √          √       √
   Claim 1 − z 2 = 1 − z 1 + z.
   Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some
   interpretation in which it is true.
                 √       ?√         √
   What about z 2 − 1= z − 1 z + 1.
   √ same √
   The         arguments apply and there is some interpretation of
                          √
        2 − 1,
      z     √ z − 1 and z + 1 in which it is true, but when z = −2
                  √ √                                        √
   we get 3 = −3 −1, so there is no interpretation of              as
                         √         √ √
   such, consistent with −n = −1 n even for n ∈ N, for which it
   is true.
I crops up elsewhere

           √          √       √
   Claim 1 − z 2 = 1 − z 1 + z.
   Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some
   interpretation in which it is true.
                 √       ?√         √
   What about z 2 − 1= z − 1 z + 1.
   √ same √
   The         arguments apply and there is some interpretation of
                          √
        2 − 1,
      z     √ z − 1 and z + 1 in which it is true, but when z = −2
                  √ √                                        √
   we get 3 = −3 −1, so there is no interpretation of              as
                         √         √ √
   such, consistent with −n = −1 n even for n ∈ N, for which it
   is true.
                                   √
   There is no interpretation of       as such for which both are true.
I crops up elsewhere

           √          √       √
   Claim 1 − z 2 = 1 − z 1 + z.
   Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some
   interpretation in which it is true.
                 √        ?√        √
   What about z 2 − 1= z − 1 z + 1.
   √ same √
   The         arguments apply and there is some interpretation of
                           √
        2 − 1,
      z     √ z − 1 and z + 1 in which it is true, but when z = −2
                  √ √                                        √
   we get 3 = −3 −1, so there is no interpretation of              as
                          √        √ √
   such, consistent with −n = −1 n even for n ∈ N, for which it
   is true.
                                   √
   There is no interpretation of       as such for which both are true.
                                              √
   I interprets individual functions, such as 1 + z, and there is no
   general composition.

More Related Content

What's hot

Lesson 26: The Fundamental Theorem of Calculus (Section 4 version)
Lesson 26: The Fundamental Theorem of Calculus (Section 4 version)Lesson 26: The Fundamental Theorem of Calculus (Section 4 version)
Lesson 26: The Fundamental Theorem of Calculus (Section 4 version)Matthew Leingang
 
Lesson 29: Integration by Substition (worksheet solutions)
Lesson 29: Integration by Substition (worksheet solutions)Lesson 29: Integration by Substition (worksheet solutions)
Lesson 29: Integration by Substition (worksheet solutions)Matthew Leingang
 
Lesson 29: Integration by Substition
Lesson 29: Integration by SubstitionLesson 29: Integration by Substition
Lesson 29: Integration by SubstitionMatthew Leingang
 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Matthew Leingang
 
Lecture 1: linear SVM in the primal
Lecture 1: linear SVM in the primalLecture 1: linear SVM in the primal
Lecture 1: linear SVM in the primalStéphane Canu
 
Engr 213 midterm 1b sol 2009
Engr 213 midterm 1b sol 2009Engr 213 midterm 1b sol 2009
Engr 213 midterm 1b sol 2009akabaka12
 
Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)Matthew Leingang
 
Lecture 2: linear SVM in the Dual
Lecture 2: linear SVM in the DualLecture 2: linear SVM in the Dual
Lecture 2: linear SVM in the DualStéphane Canu
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Matthew Leingang
 
Lesson 26: The Fundamental Theorem of Calculus (Section 10 version)
Lesson 26: The Fundamental Theorem of Calculus (Section 10 version)Lesson 26: The Fundamental Theorem of Calculus (Section 10 version)
Lesson 26: The Fundamental Theorem of Calculus (Section 10 version)Matthew Leingang
 
Techniques of differentiation further
Techniques of differentiation furtherTechniques of differentiation further
Techniques of differentiation furthermanrak
 
Calculus Cheat Sheet All
Calculus Cheat Sheet AllCalculus Cheat Sheet All
Calculus Cheat Sheet AllMoe Han
 
Lesson 9: Basic Differentiation Rules
Lesson 9: Basic Differentiation RulesLesson 9: Basic Differentiation Rules
Lesson 9: Basic Differentiation RulesMatthew Leingang
 
Emat 213 study guide
Emat 213 study guideEmat 213 study guide
Emat 213 study guideakabaka12
 
Lesson 4: Calcuating Limits (slides)
Lesson 4: Calcuating Limits (slides)Lesson 4: Calcuating Limits (slides)
Lesson 4: Calcuating Limits (slides)Matthew Leingang
 
Lesson 8: Basic Differentation Rules (slides)
Lesson 8: Basic Differentation Rules (slides)Lesson 8: Basic Differentation Rules (slides)
Lesson 8: Basic Differentation Rules (slides)Matthew Leingang
 
Lesson 27: Integration by Substitution (Section 041 slides)
Lesson 27: Integration by Substitution (Section 041 slides)Lesson 27: Integration by Substitution (Section 041 slides)
Lesson 27: Integration by Substitution (Section 041 slides)Matthew Leingang
 
Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)
Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)
Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)Matthew Leingang
 

What's hot (19)

Lesson 26: The Fundamental Theorem of Calculus (Section 4 version)
Lesson 26: The Fundamental Theorem of Calculus (Section 4 version)Lesson 26: The Fundamental Theorem of Calculus (Section 4 version)
Lesson 26: The Fundamental Theorem of Calculus (Section 4 version)
 
Lesson 29: Integration by Substition (worksheet solutions)
Lesson 29: Integration by Substition (worksheet solutions)Lesson 29: Integration by Substition (worksheet solutions)
Lesson 29: Integration by Substition (worksheet solutions)
 
Lesson 29: Integration by Substition
Lesson 29: Integration by SubstitionLesson 29: Integration by Substition
Lesson 29: Integration by Substition
 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)
 
Lecture 1: linear SVM in the primal
Lecture 1: linear SVM in the primalLecture 1: linear SVM in the primal
Lecture 1: linear SVM in the primal
 
Engr 213 midterm 1b sol 2009
Engr 213 midterm 1b sol 2009Engr 213 midterm 1b sol 2009
Engr 213 midterm 1b sol 2009
 
Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)
 
Lecture 2: linear SVM in the Dual
Lecture 2: linear SVM in the DualLecture 2: linear SVM in the Dual
Lecture 2: linear SVM in the Dual
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Lesson 26: The Fundamental Theorem of Calculus (Section 10 version)
Lesson 26: The Fundamental Theorem of Calculus (Section 10 version)Lesson 26: The Fundamental Theorem of Calculus (Section 10 version)
Lesson 26: The Fundamental Theorem of Calculus (Section 10 version)
 
Techniques of differentiation further
Techniques of differentiation furtherTechniques of differentiation further
Techniques of differentiation further
 
Calculus Cheat Sheet All
Calculus Cheat Sheet AllCalculus Cheat Sheet All
Calculus Cheat Sheet All
 
Lesson 9: Basic Differentiation Rules
Lesson 9: Basic Differentiation RulesLesson 9: Basic Differentiation Rules
Lesson 9: Basic Differentiation Rules
 
Emat 213 study guide
Emat 213 study guideEmat 213 study guide
Emat 213 study guide
 
Lesson 4: Calcuating Limits (slides)
Lesson 4: Calcuating Limits (slides)Lesson 4: Calcuating Limits (slides)
Lesson 4: Calcuating Limits (slides)
 
1574 multiple integral
1574 multiple integral1574 multiple integral
1574 multiple integral
 
Lesson 8: Basic Differentation Rules (slides)
Lesson 8: Basic Differentation Rules (slides)Lesson 8: Basic Differentation Rules (slides)
Lesson 8: Basic Differentation Rules (slides)
 
Lesson 27: Integration by Substitution (Section 041 slides)
Lesson 27: Integration by Substitution (Section 041 slides)Lesson 27: Integration by Substitution (Section 041 slides)
Lesson 27: Integration by Substitution (Section 041 slides)
 
Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)
Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)
Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)
 

Viewers also liked

How To Make Your Component Compliant
How To Make Your Component CompliantHow To Make Your Component Compliant
How To Make Your Component CompliantJan Gregersen
 
Will the Kindle Save Reading?
Will the Kindle Save Reading?Will the Kindle Save Reading?
Will the Kindle Save Reading?Len Edgerly
 
Its Not The Effort You Put In That Counts, Its The Results You Get Out.“
Its Not The Effort You Put In That Counts, Its The Results You Get Out.“Its Not The Effort You Put In That Counts, Its The Results You Get Out.“
Its Not The Effort You Put In That Counts, Its The Results You Get Out.“Pozzolini
 
1.0 Lesson One The I Needs The You Beta One 1.06 01012010
1.0 Lesson One The I Needs The You Beta One 1.06 010120101.0 Lesson One The I Needs The You Beta One 1.06 01012010
1.0 Lesson One The I Needs The You Beta One 1.06 01012010Pozzolini
 
Informatie, Middel Voor Gezonde Sturing
Informatie, Middel Voor Gezonde SturingInformatie, Middel Voor Gezonde Sturing
Informatie, Middel Voor Gezonde SturingDaan Blinde
 
Introduction To OpenMI
Introduction To OpenMIIntroduction To OpenMI
Introduction To OpenMIJan Gregersen
 
Surtsey
SurtseySurtsey
Surtseyjanusg
 
Kerdoiv
KerdoivKerdoiv
Kerdoivbara1
 
Сценарное планирование
Сценарное планированиеСценарное планирование
Сценарное планированиеGrigoriy Pechenkin
 
Stepsto Trial Juries
Stepsto Trial JuriesStepsto Trial Juries
Stepsto Trial Juriesmtoto
 
Using WordPress as a website (not a blog)
Using WordPress as a website (not a blog)Using WordPress as a website (not a blog)
Using WordPress as a website (not a blog)Sara Rosso
 

Viewers also liked (20)

How To Make Your Component Compliant
How To Make Your Component CompliantHow To Make Your Component Compliant
How To Make Your Component Compliant
 
JP deLange
JP deLangeJP deLange
JP deLange
 
Will the Kindle Save Reading?
Will the Kindle Save Reading?Will the Kindle Save Reading?
Will the Kindle Save Reading?
 
Its Not The Effort You Put In That Counts, Its The Results You Get Out.“
Its Not The Effort You Put In That Counts, Its The Results You Get Out.“Its Not The Effort You Put In That Counts, Its The Results You Get Out.“
Its Not The Effort You Put In That Counts, Its The Results You Get Out.“
 
1.0 Lesson One The I Needs The You Beta One 1.06 01012010
1.0 Lesson One The I Needs The You Beta One 1.06 010120101.0 Lesson One The I Needs The You Beta One 1.06 01012010
1.0 Lesson One The I Needs The You Beta One 1.06 01012010
 
Safin
SafinSafin
Safin
 
Informatie, Middel Voor Gezonde Sturing
Informatie, Middel Voor Gezonde SturingInformatie, Middel Voor Gezonde Sturing
Informatie, Middel Voor Gezonde Sturing
 
Introduction To OpenMI
Introduction To OpenMIIntroduction To OpenMI
Introduction To OpenMI
 
Welcome to an asynchronous world 1.29s
Welcome to an asynchronous world 1.29sWelcome to an asynchronous world 1.29s
Welcome to an asynchronous world 1.29s
 
Vedenin
VedeninVedenin
Vedenin
 
Surtsey
SurtseySurtsey
Surtsey
 
Windows 8
Windows 8Windows 8
Windows 8
 
Kerdoiv
KerdoivKerdoiv
Kerdoiv
 
Сценарное планирование
Сценарное планированиеСценарное планирование
Сценарное планирование
 
20160418_JTS Overview
20160418_JTS Overview20160418_JTS Overview
20160418_JTS Overview
 
Imagenes
ImagenesImagenes
Imagenes
 
Stepsto Trial Juries
Stepsto Trial JuriesStepsto Trial Juries
Stepsto Trial Juries
 
Proceso Matriz
Proceso MatrizProceso Matriz
Proceso Matriz
 
Md2010 jl-wp7-sl-game-dev
Md2010 jl-wp7-sl-game-devMd2010 jl-wp7-sl-game-dev
Md2010 jl-wp7-sl-game-dev
 
Using WordPress as a website (not a blog)
Using WordPress as a website (not a blog)Using WordPress as a website (not a blog)
Using WordPress as a website (not a blog)
 

Similar to Caims 2009

Anti derivatives
Anti derivativesAnti derivatives
Anti derivativescanalculus
 
Lesson 28: The Fundamental Theorem of Calculus
Lesson 28: The Fundamental Theorem of CalculusLesson 28: The Fundamental Theorem of Calculus
Lesson 28: The Fundamental Theorem of CalculusMatthew Leingang
 
Lesson 28: The Fundamental Theorem of Calculus
Lesson 28: The Fundamental Theorem of CalculusLesson 28: The Fundamental Theorem of Calculus
Lesson 28: The Fundamental Theorem of CalculusMatthew Leingang
 
Lesson 4: Calculating Limits (slides)
Lesson 4: Calculating Limits (slides)Lesson 4: Calculating Limits (slides)
Lesson 4: Calculating Limits (slides)Mel Anthony Pepito
 
Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Kuan-Lun Wang
 
AP Calculus - Tutorial
AP Calculus - TutorialAP Calculus - Tutorial
AP Calculus - TutorialChris Wilson
 
Local linear approximation
Local linear approximationLocal linear approximation
Local linear approximationTarun Gehlot
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Matthew Leingang
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Mel Anthony Pepito
 
Class 10 Maths Ch Polynomial PPT
Class 10 Maths Ch Polynomial PPTClass 10 Maths Ch Polynomial PPT
Class 10 Maths Ch Polynomial PPTSanjayraj Balasara
 
Engr 213 midterm 2a sol 2009
Engr 213 midterm 2a sol 2009Engr 213 midterm 2a sol 2009
Engr 213 midterm 2a sol 2009akabaka12
 
Calculus 08 techniques_of_integration
Calculus 08 techniques_of_integrationCalculus 08 techniques_of_integration
Calculus 08 techniques_of_integrationtutulk
 
Differential Calculus
Differential Calculus Differential Calculus
Differential Calculus OlooPundit
 

Similar to Caims 2009 (20)

Anti derivatives
Anti derivativesAnti derivatives
Anti derivatives
 
Limits
LimitsLimits
Limits
 
Lesson 28: The Fundamental Theorem of Calculus
Lesson 28: The Fundamental Theorem of CalculusLesson 28: The Fundamental Theorem of Calculus
Lesson 28: The Fundamental Theorem of Calculus
 
Lesson 28: The Fundamental Theorem of Calculus
Lesson 28: The Fundamental Theorem of CalculusLesson 28: The Fundamental Theorem of Calculus
Lesson 28: The Fundamental Theorem of Calculus
 
Taylor problem
Taylor problemTaylor problem
Taylor problem
 
Lesson 4: Calculating Limits (slides)
Lesson 4: Calculating Limits (slides)Lesson 4: Calculating Limits (slides)
Lesson 4: Calculating Limits (slides)
 
Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Calculus First Test 2011/10/20
Calculus First Test 2011/10/20
 
AP Calculus - Tutorial
AP Calculus - TutorialAP Calculus - Tutorial
AP Calculus - Tutorial
 
1202 ch 12 day 2
1202 ch 12 day 21202 ch 12 day 2
1202 ch 12 day 2
 
Identidades
IdentidadesIdentidades
Identidades
 
Differentiation.pptx
Differentiation.pptxDifferentiation.pptx
Differentiation.pptx
 
Local linear approximation
Local linear approximationLocal linear approximation
Local linear approximation
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Class 10 Maths Ch Polynomial PPT
Class 10 Maths Ch Polynomial PPTClass 10 Maths Ch Polynomial PPT
Class 10 Maths Ch Polynomial PPT
 
Derivatives
DerivativesDerivatives
Derivatives
 
Engr 213 midterm 2a sol 2009
Engr 213 midterm 2a sol 2009Engr 213 midterm 2a sol 2009
Engr 213 midterm 2a sol 2009
 
Calculus 08 techniques_of_integration
Calculus 08 techniques_of_integrationCalculus 08 techniques_of_integration
Calculus 08 techniques_of_integration
 
gfg
gfggfg
gfg
 
Differential Calculus
Differential Calculus Differential Calculus
Differential Calculus
 

Recently uploaded

Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxlancelewisportillo
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptxmary850239
 
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...JojoEDelaCruz
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfVanessa Camilleri
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management systemChristalin Nelson
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 

Recently uploaded (20)

Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx
 
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdf
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management system
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 

Caims 2009

  • 1. The unreasonable effectiveness of algebra (but don’t take it for granted) James Davenport University of Bath (visiting Waterloo) 11 June 2009
  • 2. What is the derivative of sin x?
  • 3. What is the derivative of sin x? sin(x + δ) − sin(x) f (x) = lim δ→0 δ
  • 4. What is the derivative of sin x? sin(x + δ) − sin(x) f (x) = lim δ→0 δ sin(x + δ) − sin(x) ∀ > 0∃D : δ < D ⇒ f (x) − < δ
  • 5. What is the derivative of sin x? sin(x + δ) − sin(x) f (x) = lim δ→0 δ sin(x + δ) − sin(x) ∀ > 0∃D : δ < D ⇒ f (x) − < δ sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can make the choice f (x) = cos(x).
  • 6. What is the derivative of sin x? sin(x + δ) − sin(x) f (x) = lim δ→0 δ sin(x + δ) − sin(x) ∀ > 0∃D : δ < D ⇒ f (x) − < δ sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can make the choice f (x) = cos(x). We can then take 1 √ D = 2 min( , 1), and some simple algebra shows the result.
  • 7. What is the derivative of sin x? sin(x + δ) − sin(x) f (x) = lim δ→0 δ sin(x + δ) − sin(x) ∀ > 0∃D : δ < D ⇒ f (x) − < δ sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can make the choice f (x) = cos(x). We can then take 1 √ D = 2 min( , 1), and some simple algebra shows the result. Did any of you do that?
  • 8. What is the derivative of sin x? sin(x + δ) − sin(x) f (x) = lim δ→0 δ sin(x + δ) − sin(x) ∀ > 0∃D : δ < D ⇒ f (x) − < δ sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can make the choice f (x) = cos(x). We can then take 1 √ D = 2 min( , 1), and some simple algebra shows the result. Did any of you do that? √ Did any of you take D = 2 max(| min( ,1) cos(x)|,| sin(x)|,1) to allow for x ∈ C?
  • 9. What is the derivative of sin x? sin(x + δ) − sin(x) f (x) = lim δ→0 δ sin(x + δ) − sin(x) ∀ > 0∃D : δ < D ⇒ f (x) − < δ sin(x + δ) − sin(x) = cos(x) sin(δ) − sin(x)(1 − cos(δ)) so we can make the choice f (x) = cos(x). We can then take 1 √ D = 2 min( , 1), and some simple algebra shows the result. Did any of you do that? √ Did any of you take D = 2 max(| min( ,1) cos(x)|,| sin(x)|,1) to allow for x ∈ C? Or did you “just know it”?
  • 10. π/2 What is the integral: 0 cos x?
  • 11. π/2 What is the integral: 0 cos x? I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)] |∆|→0 |∆|→0 (∆ ranges over all dissections of [0, π/2])
  • 12. π/2 What is the integral: 0 cos x? I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)] |∆|→0 |∆|→0 (∆ ranges over all dissections of [0, π/2]) Does anyone actually do this?
  • 13. π/2 What is the integral: 0 cos x? I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)] |∆|→0 |∆|→0 (∆ ranges over all dissections of [0, π/2]) Does anyone actually do this? Can anyone actually do this?
  • 14. π/2 What is the integral: 0 cos x? I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)] |∆|→0 |∆|→0 (∆ ranges over all dissections of [0, π/2]) Does anyone actually do this? Can anyone actually do this? Or do we say “well, we have proved that sin = cos, so cos = sin, and therefore the answer is sin π − sin 0 = 1? 2
  • 15. π/2 What is the integral: 0 cos x? I = lim S ∆ [cos(x)] = lim S ∆ [cos(x)] |∆|→0 |∆|→0 (∆ ranges over all dissections of [0, π/2]) Does anyone actually do this? Can anyone actually do this? Or do we say “well, we have proved that sin = cos, so cos = sin, and therefore the answer is sin π − sin 0 = 1? 2 We might say “therefore, by the Fundamental Theorem of Calculus, . . . ”
  • 16. What is the Fundamental Theorem of Calculus?
  • 17. What is the Fundamental Theorem of Calculus? Indeed, what is calculus?
  • 18. What is the Fundamental Theorem of Calculus? Indeed, what is calculus? . . . the deism of Liebniz over the dotage of Newton . . . [Babbage, chapter 4]
  • 19. What is the Fundamental Theorem of Calculus? Indeed, what is calculus? . . . the deism of Liebniz over the dotage of Newton . . . [Babbage, chapter 4] I claim that calculus is actually the interesting fusion of two, different subjects.
  • 20. What is the Fundamental Theorem of Calculus? Indeed, what is calculus? . . . the deism of Liebniz over the dotage of Newton . . . [Babbage, chapter 4] I claim that calculus is actually the interesting fusion of two, different subjects. What you learned in calculus, which I shall write as D δ : the “differentiation of –δ analysis”. Also d d x , and its inverse δ δ .
  • 21. What is the Fundamental Theorem of Calculus? Indeed, what is calculus? . . . the deism of Liebniz over the dotage of Newton . . . [Babbage, chapter 4] I claim that calculus is actually the interesting fusion of two, different subjects. What you learned in calculus, which I shall write as D δ : the “differentiation of –δ analysis”. Also d d x , and its inverse δ δ . What is taught in differential algebra, which I shall write as d DDA : the “differentiation of differential algebra”. Also dDA x , and its inverse DA .
  • 22. D δ (for functions R → R)
  • 23. D δ (for functions R → R) Define CL(f , x0 ) (the “Cauchy Limit”) as f (x0 + h) − f (x0 ) CL(f , x0 ) = lim h→0 h and D δ (f ) = λx. CL(f , x).
  • 24. D δ (for functions R → R) Define CL(f , x0 ) (the “Cauchy Limit”) as f (x0 + h) − f (x0 ) CL(f , x0 ) = lim h→0 h and D δ (f ) = λx. CL(f , x). Then the following are theorems.
  • 25. D δ (for functions R → R) Define CL(f , x0 ) (the “Cauchy Limit”) as f (x0 + h) − f (x0 ) CL(f , x0 ) = lim h→0 h and D δ (f ) = λx. CL(f , x). Then the following are theorems. D δ (c) = 0 ∀c constants.
  • 26. D δ (for functions R → R) Define CL(f , x0 ) (the “Cauchy Limit”) as f (x0 + h) − f (x0 ) CL(f , x0 ) = lim h→0 h and D δ (f ) = λx. CL(f , x). Then the following are theorems. D δ (c) = 0 ∀c constants. CL(f + g , x0 ) = CL(f , x0 ) + CL(g , x0 ), so D δ (f + g ) = D δ (f ) + D δ (g ).
  • 27. D δ (for functions R → R) Define CL(f , x0 ) (the “Cauchy Limit”) as f (x0 + h) − f (x0 ) CL(f , x0 ) = lim h→0 h and D δ (f ) = λx. CL(f , x). Then the following are theorems. D δ (c) = 0 ∀c constants. CL(f + g , x0 ) = CL(f , x0 ) + CL(g , x0 ), so D δ (f + g ) = D δ (f ) + D δ (g ). CL(fg , x0 ) = CL(f , x0 )g (x0 ) + f (x0 ) CL(g , x0 ), so D δ (fg ) = D δ (f )g + fD δ (g ).
  • 28. D δ (for functions R → R) Define CL(f , x0 ) (the “Cauchy Limit”) as f (x0 + h) − f (x0 ) CL(f , x0 ) = lim h→0 h and D δ (f ) = λx. CL(f , x). Then the following are theorems. D δ (c) = 0 ∀c constants. CL(f + g , x0 ) = CL(f , x0 ) + CL(g , x0 ), so D δ (f + g ) = D δ (f ) + D δ (g ). CL(fg , x0 ) = CL(f , x0 )g (x0 ) + f (x0 ) CL(g , x0 ), so D δ (fg ) = D δ (f )g + fD δ (g ). D δ (λx.f (g (x))) = D δ (g )λx.D δ (f )(g (x)). (Chain rule)
  • 29. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies:
  • 30. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies: DDA (f + g ) = DDA (f ) + DDA (g )
  • 31. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies: DDA (f + g ) = DDA (f ) + DDA (g ) DDA (fg ) = DDA (f )g + fDDA (g )
  • 32. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies: DDA (f + g ) = DDA (f ) + DDA (g ) DDA (fg ) = DDA (f )g + fDDA (g )
  • 33. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies: DDA (f + g ) = DDA (f ) + DDA (g ) DDA (fg ) = DDA (f )g + fDDA (g ) Corollaries:
  • 34. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies: DDA (f + g ) = DDA (f ) + DDA (g ) DDA (fg ) = DDA (f )g + fDDA (g ) Corollaries: DDA (c) = 0 for all c algebraic over 1 .
  • 35. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies: DDA (f + g ) = DDA (f ) + DDA (g ) DDA (fg ) = DDA (f )g + fDDA (g ) Corollaries: DDA (c) = 0 for all c algebraic over 1 . f DDA (f )g −fDDA (g ) DDA ( g ) = g2 .
  • 36. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies: DDA (f + g ) = DDA (f ) + DDA (g ) DDA (fg ) = DDA (f )g + fDDA (g ) Corollaries: DDA (c) = 0 for all c algebraic over 1 . f DDA (f )g −fDDA (g ) DDA ( g ) = g2 . DDA extends uniquely to algebraic extensions.
  • 37. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies: DDA (f + g ) = DDA (f ) + DDA (g ) DDA (fg ) = DDA (f )g + fDDA (g ) Corollaries: DDA (c) = 0 for all c algebraic over 1 . f DDA (f )g −fDDA (g ) DDA ( g ) = g2 . DDA extends uniquely to algebraic extensions.
  • 38. DDA (for any ring R of characteristic 0) Definition: DDA : R → R is a derivation on R if it satisfies: DDA (f + g ) = DDA (f ) + DDA (g ) DDA (fg ) = DDA (f )g + fDDA (g ) Corollaries: DDA (c) = 0 for all c algebraic over 1 . f DDA (f )g −fDDA (g ) DDA ( g ) = g2 . DDA extends uniquely to algebraic extensions. Note that there is no Chain Rule as such, since composition is not necessarily a defined concept on R.
  • 39. A note on the word “constant”
  • 40. A note on the word “constant” We said DDA (c) = 0 for all c algebraic over 1 .
  • 41. A note on the word “constant” We said DDA (c) = 0 for all c algebraic over 1 . “constants differentiate to 0”
  • 42. A note on the word “constant” We said DDA (c) = 0 for all c algebraic over 1 . “constants differentiate to 0”
  • 43. A note on the word “constant” We said DDA (c) = 0 for all c algebraic over 1 . “constants differentiate to 0” By abuse of language, we say that anything that differentiates to zero is a “constantDA ”.
  • 44. How are the two subjects related? If we define DDA (x) = 1, then DDA is defined on Z[x], and extends to Q(x) and indeed Q(x).
  • 45. How are the two subjects related? If we define DDA (x) = 1, then DDA is defined on Z[x], and extends to Q(x) and indeed Q(x). If we interpret (denoted I) Q(x) as functions R → R, then DDA can be interpreted as D δ , i.e. I(DDA (f )) = D δ (I(f ))
  • 46. How are the two subjects related? If we define DDA (x) = 1, then DDA is defined on Z[x], and extends to Q(x) and indeed Q(x). If we interpret (denoted I) Q(x) as functions R → R, then DDA can be interpreted as D δ , i.e. I(DDA (f )) = D δ (I(f )) (at least up to removable singularities).
  • 47. An aside on interpretation (x−1)2 x−1 Consider L := x 2 −1 and R := x+1 .
  • 48. An aside on interpretation 2 Consider L := (x−1) and R := x−1 . x 2 −1 x+1 0 As elements of Q(x) they are equal, since L − R = x 2 −1 = 0.
  • 49. An aside on interpretation 2 Consider L := (x−1) and R := x−1 . x 2 −1 x+1 As elements of Q(x) they are equal, since L − R = x 20 = 0. −1 But as formulae (viewed as algorithm specifications), L(1)=“divide by zero error”, whereas R(1) = 0.
  • 50. An aside on interpretation 2 Consider L := (x−1) and R := x−1 . x 2 −1 x+1 As elements of Q(x) they are equal, since L − R = x 20 = 0. −1 But as formulae (viewed as algorithm specifications), L(1)=“divide by zero error”, whereas R(1) = 0. Hence the warning about removable singularities!
  • 51. An aside on interpretation 2 Consider L := (x−1) and R := x−1 . x 2 −1 x+1 As elements of Q(x) they are equal, since L − R = x 20 = 0. −1 But as formulae (viewed as algorithm specifications), L(1)=“divide by zero error”, whereas R(1) = 0. Hence the warning about removable singularities! Also, note that −1 is not a removable singularity!
  • 52. An aside on interpretation 2 Consider L := (x−1) and R := x−1 . x 2 −1 x+1 As elements of Q(x) they are equal, since L − R = x 20 = 0. −1 But as formulae (viewed as algorithm specifications), L(1)=“divide by zero error”, whereas R(1) = 0. Hence the warning about removable singularities! Also, note that −1 is not a removable singularity! In the case of Q(x), every element has a “most continuous formula”, so interpreting this as R → R can’t go wrong.
  • 53. An aside on interpretation 2 Consider L := (x−1) and R := x−1 . x 2 −1 x+1 As elements of Q(x) they are equal, since L − R = x 20 = 0. −1 But as formulae (viewed as algorithm specifications), L(1)=“divide by zero error”, whereas R(1) = 0. Hence the warning about removable singularities! Also, note that −1 is not a removable singularity! In the case of Q(x), every element has a “most continuous formula”, so interpreting this as R → R can’t go wrong. We use I ∗ to indicate “interpretation with removable singularities removed”, since there isn’t always a formulaic way of doing so.
  • 54. An aside on interpretation 2 Consider L := (x−1) and R := x−1 . x 2 −1 x+1 As elements of Q(x) they are equal, since L − R = x 20 = 0. −1 But as formulae (viewed as algorithm specifications), L(1)=“divide by zero error”, whereas R(1) = 0. Hence the warning about removable singularities! Also, note that −1 is not a removable singularity! In the case of Q(x), every element has a “most continuous formula”, so interpreting this as R → R can’t go wrong. We use I ∗ to indicate “interpretation with removable singularities removed”, since there isn’t always a formulaic way of doing so. Indeed, there may be no way of interpreting without singularities, √ as in z → z : C → C.
  • 55. δ (for functions R → R)
  • 56. δ (for functions R → R) What is naturally defined is integration over an interval I . We let D stand for sub-divisions d1 = a < d2 < · · · < dn = b of I = [a, b], and |D| for the largest distance between neighbouring points in D, i.e. maxi (di+1 − di ).
  • 57. δ (for functions R → R) What is naturally defined is integration over an interval I . We let D stand for sub-divisions d1 = a < d2 < · · · < dn = b of I = [a, b], and |D| for the largest distance between neighbouring points in D, i.e. maxi (di+1 − di ). Let SD = i (di+1 − di ) maxdi+1 ≥x≥di f (x);
  • 58. δ (for functions R → R) What is naturally defined is integration over an interval I . We let D stand for sub-divisions d1 = a < d2 < · · · < dn = b of I = [a, b], and |D| for the largest distance between neighbouring points in D, i.e. maxi (di+1 − di ). Let SD = i (di+1 − di ) maxdi+1 ≥x≥di f (x); SD = i (di+1 − di ) mindi+1 ≥x≥di f (x);
  • 59. δ (for functions R → R) What is naturally defined is integration over an interval I . We let D stand for sub-divisions d1 = a < d2 < · · · < dn = b of I = [a, b], and |D| for the largest distance between neighbouring points in D, i.e. maxi (di+1 − di ). Let SD = i (di+1 − di ) maxdi+1 ≥x≥di f (x); SD = i (di+1 − di ) mindi+1 ≥x≥di f (x); Then δ I f = lim inf |D|→0 SD = lim sup|D|→0 SD if both exist and are equal.
  • 60. Consequences: Fundamental Theorem of Calculus (FTC δ ) b δ [a,b] f a≤b Define δ a f = − δ [b,a] f a>b
  • 61. Consequences: Fundamental Theorem of Calculus (FTC δ ) b δ [a,b] f a≤b Define δ a f = − δ [b,a] f a > b (If we’re not careful, we wind up saying “[2,1] is the same set as [1,2] except that if you integrate over it you have to add a − sign”. What we really have here is the beginnings of contour integration.
  • 62. Consequences: Fundamental Theorem of Calculus (FTC δ ) b δ [a,b] f a≤b Define δ a f = − δ [b,a] f a > b (If we’re not careful, we wind up saying “[2,1] is the same set as [1,2] except that if you integrate over it you have to add a − sign”. What we really have here is the beginnings of contour integration. Apostol theorem 1.20 states that if g (x) ≤ f (x) for every x in [a, b], then b b g (x)dx ≤ f (x)dx, a a and here a < b is implicit.)
  • 63. Consequences: Fundamental Theorem of Calculus (FTC δ ) b δ [a,b] f a≤b Define δ a f = − δ [b,a] f a > b (If we’re not careful, we wind up saying “[2,1] is the same set as [1,2] except that if you integrate over it you have to add a − sign”. What we really have here is the beginnings of contour integration. Apostol theorem 1.20 states that if g (x) ≤ f (x) for every x in [a, b], then b b g (x)dx ≤ f (x)dx, a a and here a < b is implicit.) FTC δ : δ [a,b] D δ f = f (b) − f (a).
  • 64. Consequences: Fundamental Theorem of Calculus (FTC δ ) b δ [a,b] f a≤b Define δ a f = − δ [b,a] f a > b (If we’re not careful, we wind up saying “[2,1] is the same set as [1,2] except that if you integrate over it you have to add a − sign”. What we really have here is the beginnings of contour integration. Apostol theorem 1.20 states that if g (x) ≤ f (x) for every x in [a, b], then b b g (x)dx ≤ f (x)dx, a a and here a < b is implicit.) FTC δ : δ [a,b] D δ f = f (b) − f (a). x Or: D δ (λx. δ a f ) = f (if the δ exists).
  • 65. Consequences: Fundamental Theorem of Calculus (FTC δ ) b δ [a,b] f a≤b Define δ a f = − δ [b,a] f a > b (If we’re not careful, we wind up saying “[2,1] is the same set as [1,2] except that if you integrate over it you have to add a − sign”. What we really have here is the beginnings of contour integration. Apostol theorem 1.20 states that if g (x) ≤ f (x) for every x in [a, b], then b b g (x)dx ≤ f (x)dx, a a and here a < b is implicit.) FTC δ : δ [a,b] D δ f = f (b) − f (a). x Or: D δ (λx. δ a f ) = f (if the δ exists). (Of course, this is normally stated without the λ.)
  • 66. DA : FTC becomes a definition
  • 67. DA : FTC becomes a definition FTCDA : define DA f to be any g such that f = DDA g .
  • 68. DA : FTC becomes a definition FTCDA : define DA f to be any g such that f = DDA g . If g and h are two such integrals, then DDA (g − h) = 0, i.e. “g and h differ by a constant”.
  • 69. DA : FTC becomes a definition FTCDA : define DA f to be any g such that f = DDA g . If g and h are two such integrals, then DDA (g − h) = 0, i.e. “g and h differ by a constant”. One difficulty is that this is really a “constantDA ” (something whose DDA is zero), and, for example, a Heaviside function is a constantDA , though not a constant in the usual sense.
  • 70. Will the real FTC please stand up?
  • 71. Will the real FTC please stand up? FTC (as it should be taught).
  • 72. Will the real FTC please stand up? FTC (as it should be taught). If g = DA f , and I(g ) is continuous on [a, b], then b δ I(f ) = I(g )(b) − I(g )(a). a
  • 73. Will the real FTC please stand up? FTC (as it should be taught). If g = DA f , and I(g ) is continuous on [a, b], then b δ I(f ) = I(g )(b) − I(g )(a). a 1 Note the caveat on continuity: g : x → arctan x is discontinuous at x = 0 (limx→0− arctan x = −π whereas 1 2 limx→0+ arctan x = π ), 1 2
  • 74. Will the real FTC please stand up? FTC (as it should be taught). If g = DA f , and I(g ) is continuous on [a, b], then b δ I(f ) = I(g )(b) − I(g )(a). a 1 Note the caveat on continuity: g : x → arctan x is discontinuous 1 −π at x = 0 (limx→0− arctan x = 2 whereas limx→0+ arctan x = π ), which accounts for the invalidity of 1 2 deducing that the integral of a negative function is positive — 1 −1 π −π π = I(g )(1) − I(g )(−1) = − = > 0. −1 x2+1 4 4 2
  • 75. Rescuing the Fundamental Theorem of Calculus −1 1 Of course, another DA x 2 +1 is h(x) = arctan x + H(x) where 0 x <0 H(x) = is a constantDA . This has a removable −π x > 0 singularity at x = 0.
  • 76. Rescuing the Fundamental Theorem of Calculus −1 1 Of course, another DA x 2 +1 is h(x) = arctan x + H(x) where 0 x <0 H(x) = is a constantDA . This has a removable −π x > 0 singularity at x = 0. I ∗ (h) is continuous, so FTC is appropriate and 1 −1 π −π π = I(h)(1) − I(h)(−1) = −π − = − < 0. −1 x2+1 4 4 2
  • 77. “Most continuous expressions” revisited 1 π arctan x + H(x) can also be rewritten as 2 − arctan(x).
  • 78. “Most continuous expressions” revisited arctan x + H(x) can also be rewritten as π − arctan(x). 1 2 In this case π − arctan(x) is a “most continuous formula”. 2
  • 79. “Most continuous expressions” revisited arctan x + H(x) can also be rewritten as π − arctan(x). 1 2 In this case π − arctan(x) is a “most continuous formula”. 2 1 (except at ∞, where the original arctan x is continuous!).
  • 80. “Most continuous expressions” revisited arctan x + H(x) can also be rewritten as π − arctan(x). 1 2 In this case π − arctan(x) is a “most continuous formula”. 2 1 (except at ∞, where the original arctan x is continuous!). z−1 What about arctan z+1 ?
  • 81. “Most continuous expressions” revisited arctan x + H(x) can also be rewritten as π − arctan(x). 1 2 In this case π − arctan(x) is a “most continuous formula”. 2 1 (except at ∞, where the original arctan x is continuous!). z−1 What about arctan z+1 ? An equivalent is √ √ z − 1 + z2 + 6 z − 7 z − 1 + z2 + 6 z − 7 arctan −arctan +1 2(z − 1) 2(z − 1)
  • 82. “Most continuous expressions” revisited arctan x + H(x) can also be rewritten as π − arctan(x). 1 2 In this case π − arctan(x) is a “most continuous formula”. 2 1 (except at ∞, where the original arctan x is continuous!). z−1 What about arctan z+1 ? An equivalent is √ √ z − 1 + z2 + 6 z − 7 z − 1 + z2 + 6 z − 7 arctan −arctan +1 2(z − 1) 2(z − 1) 2 or − arctan −2z−1+z 2 − arctan(z), where the singularities are at 2 z−1+z √ −1 ± 2 (and ∞), or . . . .
  • 83. “Most continuous expressions” revisited arctan x + H(x) can also be rewritten as π − arctan(x). 1 2 In this case π − arctan(x) is a “most continuous formula”. 2 1 (except at ∞, where the original arctan x is continuous!). z−1 What about arctan z+1 ? An equivalent is √ √ z − 1 + z2 + 6 z − 7 z − 1 + z2 + 6 z − 7 arctan −arctan +1 2(z − 1) 2(z − 1) 2 or − arctan −2z−1+z 2 − arctan(z), where the singularities are at 2 z−1+z √ −1 ± 2 (and ∞), or . . . . Still an unsolved problem (Rioboo, . . . ).
  • 84. But I’m not interested in all this DA stuff
  • 85. But I’m not interested in all this DA stuff Surely most people (even engineers) do δ etc.
  • 86. But I’m not interested in all this DA stuff Surely most people (even engineers) do δ etc. They may think they do, but in practice they do DA even when intending to do δ .
  • 87. But I’m not interested in all this DA stuff Surely most people (even engineers) do δ etc. They may think they do, but in practice they do DA even when intending to do δ . 1 What is limh→0 h (1 + h) cos2 (1 + h) − cos2 1 ?
  • 88. But I’m not interested in all this DA stuff Surely most people (even engineers) do δ etc. They may think they do, but in practice they do DA even when intending to do δ . 1 What is limh→0 h (1 + h) cos2 (1 + h) − cos2 1 ? If you immediately said cos2 (1) − 2 sin(1) cos(1)
  • 89. But I’m not interested in all this DA stuff Surely most people (even engineers) do δ etc. They may think they do, but in practice they do DA even when intending to do δ . 1 What is limh→0 h (1 + h) cos2 (1 + h) − cos2 1 ? If you immediately said cos2 (1) − 2 sin(1) cos(1) I bet you actually did DDA (x cos2 x)|x=1 .
  • 90. But I’m not interested in all this DA stuff Surely most people (even engineers) do δ etc. They may think they do, but in practice they do DA even when intending to do δ . 1 What is limh→0 h (1 + h) cos2 (1 + h) − cos2 1 ? If you immediately said cos2 (1) − 2 sin(1) cos(1) I bet you actually did DDA (x cos2 x)|x=1 . (If you said −.617370845, you probably had Maple on your Blackberry, and it did that.)
  • 92. Conclusions We already know that δ is a powerful world model
  • 93. Conclusions We already know that δ is a powerful world model DA is well-implemented and very powerful
  • 94. Conclusions We already know that δ is a powerful world model DA is well-implemented and very powerful “e−x 2 has no integral” means “has no in terms of DA already known functions”
  • 95. Conclusions We already know that δ is a powerful world model DA is well-implemented and very powerful “e−x 2 has no integral” means “has no in terms of DA already known functions” I does map from one to the other, often very effectively
  • 96. Conclusions We already know that δ is a powerful world model DA is well-implemented and very powerful “e−x 2 has no integral” means “has no in terms of DA already known functions” I does map from one to the other, often very effectively but not always!
  • 97. I crops up elsewhere
  • 98. I crops up elsewhere √ √ √ Claim 1 − z2 = 1 − z 1 + z.
  • 99. I crops up elsewhere √ √ √ Claim 1 − z 2 = 1 − z 1 + z. Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some interpretation in which it is true.
  • 100. I crops up elsewhere √ √ √ Claim 1 − z 2 = 1 − z 1 + z. Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some interpretation in which it is true. √ ?√ √ What about z 2 − 1= z − 1 z + 1.
  • 101. I crops up elsewhere √ √ √ Claim 1 − z 2 = 1 − z 1 + z. Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some interpretation in which it is true. √ ?√ √ What about z 2 − 1= z − 1 z + 1. √ same √ The arguments apply and there is some interpretation of √ z 2 − 1, z − 1 and z + 1 in which it is true, but
  • 102. I crops up elsewhere √ √ √ Claim 1 − z 2 = 1 − z 1 + z. Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some interpretation in which it is true. √ ?√ √ What about z 2 − 1= z − 1 z + 1. √ same √ The arguments apply and there is some interpretation of √ 2 − 1, z √ z − 1 and z + 1 in which it is true, but when z = −2 √ √ √ we get 3 = −3 −1, so there is no interpretation of as √ √ √ such, consistent with −n = −1 n even for n ∈ N, for which it is true.
  • 103. I crops up elsewhere √ √ √ Claim 1 − z 2 = 1 − z 1 + z. Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some interpretation in which it is true. √ ?√ √ What about z 2 − 1= z − 1 z + 1. √ same √ The arguments apply and there is some interpretation of √ 2 − 1, z √ z − 1 and z + 1 in which it is true, but when z = −2 √ √ √ we get 3 = −3 −1, so there is no interpretation of as √ √ √ such, consistent with −n = −1 n even for n ∈ N, for which it is true. √ There is no interpretation of as such for which both are true.
  • 104. I crops up elsewhere √ √ √ Claim 1 − z 2 = 1 − z 1 + z. Squaring both sides gives 1 − z 2 = (1 − z)(1 + z), so there is some interpretation in which it is true. √ ?√ √ What about z 2 − 1= z − 1 z + 1. √ same √ The arguments apply and there is some interpretation of √ 2 − 1, z √ z − 1 and z + 1 in which it is true, but when z = −2 √ √ √ we get 3 = −3 −1, so there is no interpretation of as √ √ √ such, consistent with −n = −1 n even for n ∈ N, for which it is true. √ There is no interpretation of as such for which both are true. √ I interprets individual functions, such as 1 + z, and there is no general composition.