Integration and Differentiation Limit Interchange Theorems

Transcription

1 Integration and Differentiation Limit Interchange Theorems James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University March 11, 2018

2 Outline 1 A More General Integral Interchange Theorem 2

3 A More General Integral Interchange Theorem Theorem Let (x n ) be a sequence of Riemann Integrable functions on [a, b]. Let x on [a, b]. Then x is Riemann integrable on [a, b] and x n b lim n a x n (t)dt = b a ( lim n x n(t))dt = b a x(t)dt. If x is Riemann Integrable on [a, b], the argument we presented in the proof of first integral interchange theorem works nicely. So to prove this theorem it is enough to show x is Riemman Integrable on [a, b].

4 A More General Integral Interchange Theorem Let ɛ > 0 be given. since the convergence is orm, there is N so that x n (t) x(t) < ɛ, n > N, t [a, b] (α) 5(b a) Pick any ˆn > N. Since xˆn is integrable, there is a partition π 0 so that U(xˆn, π) L(xˆn, π) < ɛ 5 (β) when π is a refinement of π 0. Since x n x, we can easily show x is bounded. So we can define M j = sup t j 1 t t j x(t), m j = inf t j 1 t t j x(t) ˆM j = sup t j 1 t t j xˆn (t), ˆm j = inf t j 1 t t j xˆn (t) where {t 0, t 1,..., t p } are the points in the partition π.

5 A More General Integral Interchange Theorem Using the infimum and supremum tolerance lemma, we can find points s j [t j 1, t j ] and u j [t j 1, t j ] so that M j ɛ 5(b a) < x(s j ) M j (γ) m j x(u j ) < m j + ɛ 5(b a) (δ) Thus U(x, π) L(x, π) = π = π (M j m j ) t j {M j x(s j ) + x(s j ) xˆn (s j ) + xˆn (s j ) xˆn (u j ) + xˆn (u j ) x(u j ) + x(u j ) m j } t j

6 A More General Integral Interchange Theorem Now break this into individual pieces: U(x, π) L(x, π) = π (M j x(s j )) t j + π (x(s j ) xˆn (s j )) t j + π (xˆn (s j ) xˆn (u j )) t j + π (xˆn (u j ) x(u j )) t j + π (x(u j ) m j ) t j Using Equation γ and Equation δ we can overestimate the first and fifth term to get U(x, π) L(x, π) < π ɛ 5(b a) t j + π (x(s j ) xˆn (s j )) t j + π + π (xˆn (s j ) xˆn (u j )) t j + π ɛ 5(b a) t j (xˆn (u j ) x(u j )) t j

7 A More General Integral Interchange Theorem We know π t j = b a and so simplifying a bit, we have U(x, π) L(x, π) < 2 ɛ 5 + π (x(s j ) xˆn (s j )) t j + π (xˆn (s j ) xˆn (u j )) t j + π (xˆn (u j ) x(u j )) t j Now use Equation α in piece two and four above to get U(x, π) L(x, π) < 2 ɛ 5 + π + π ɛ 5(b a) t j (xˆn (s j ) xˆn (u j )) t j + π ɛ 5(b a) t j < 4 ɛ 5 + π (xˆn (s j ) xˆn (u j )) t j since like before π ɛ 5(b a) t j = ɛ 5.

8 A More General Integral Interchange Theorem Finally, xˆn (s j ) xˆn (u j ) ˆM j ˆm j and so U(x, π) L(x, π) < 4 ɛ 5 + π ( ˆM j ˆm j ) t j = 4 ɛ 5 + U(xˆn, π) L(xˆn, π) < ɛ using Equation β. We conclude U(x, π) U(x, π) < ɛ for all refinements of π 0 which shows x is Riemann Integrable on [a, b]. It remains to show the limit interchange portion of the theorem. As mentioned at the start of this proof, this argumen is the same as the one given in the first integral interchange theorem and so it does not have to be repeated.

9 We now consider another important theorem about the interchange of integration and limits of functions. We start with an illuminating example. Consider the sequence (x n ) on [ 1, 1] where x n (t) = t/e nt2. It is easy to ptws see x n x where x(t) = 0 on [ 1, 1]. Taking the derivative, we see x n(t) = 1 2nt2 e nt2 and the critical points of x n are when 1 2nt 2 = 0 or at t = ±1/ 2n. We have studied this kind of sequence before but the other sequences had high peaks proportional to n which meant we could not get orm convergence on any interval [c, d] containing 0. In this sequence, the extreme values occur at ±1/ 2ne. Hence, the peaks hear decrease. We could illustrate this behavior with some carefully chosen Octave plots, but this time we will simply sketch the graph labeling important points.

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11 Let M n = sup x n (t) x(t) = sup 1 t 1 1 t 1 t e nt2 = 1 2ne Since M n 0, by the Weierstrass Theorem for Uniform Convergence, we have x n x. At t = 0, x n(0) = 1 for all n and so lim n x n(t) = 1. But x (0) = 0 t=0 as x(t) = 0 on [ 1, 1]. Hence we conclude for this example that at t = 0 the differentiation interchange does not work: lim x n(t) n ( ) lim x n(t), n that is the interchange of convegence and differentiation fails here even though we have orm convergence of the sequence.

12 Finally, since x n(t) = 1 2nt2, we see the pointwise limit of the derivative e nt2 sequence is y(0) = 1 but y(t) = 0 on [ 1, 0) (0, 1] which is not continuous. Since y is not continuous, x n y. What conditions are required to guarantee the derivative interchange result? Definition The sequence of functions (x n ) on the set S satisfies the Uniform Cauchy Criterion if ɛ > 0, N x n (t) x m (t) < ɛ, for n > m > N and t S This can also be stated like this: ɛ > 0, N x n x m < ɛ, for n > m > N. We will abbreviate this with UCC.

13 Using the UCC, we can prove another test for orm convergence which is often easier to use. Theorem Let (x n ) be a sequence of functions on the set S. Then ( ) x : S R x n x ( (x n ) satisfies the UCC ). ( :) We assume there is an x : S R so that x n x. Then, given ɛ > 0, there is N so that x n (t) x(t) < ɛ/2 for all t S.

14 Thus, if n > m > N, we have x n (t) x m (t) = x n (t) x(t) + x(t) x m (t) x n (t) x(t) + x(t) x m (t) < ɛ/2 + ɛ/2 = ɛ Thus, (x n ) satisfies the UCC. ( :) If (x n ) satisfies the UCC, then given ɛ > 0, there is N so that x n (t) x m (t) < ɛ for n > m > N. This says the seq (x n (ˆt) is a Cauchy Sequence for each ˆt S. Since R is complete, there is a number aˆt so that x n (ˆt) aˆt. The number aˆt ptws defines a function x : S R by x(t) = aˆt. Clearly, x n x on S. From the UCC, we can therefore say for the given ɛ, lim x n(t) x m (t) ɛ/2, if n > m > N, t S n

15 But the absolute function is continuous and so lim n x n(t) x m (t) ɛ/2, if n > m > N, t S or x(t) x m (t) < ɛ when m > N. This shows x n x as the choice of index m is not important. Note this argument is essentially the same as the one we used in the proof that orm convergence of continuous functions gives a continuous limit. The difference here is that we do not know each x n is continuous. We are simply proving the existence of a limit function which is possible as R is complete. But the use of the completeness of R is common in both proofs.

16 We are ready to prove our next interchange theorem. Theorem Let (x n ) be a sequence of functions defined on the interval [a, b]. Assume 1 x n is differentiable on [a, b]. 2 x n is Riemann Integrable on [a, b]. 3 There is at least one point t 0 [a, b] such that the sequence (x n (t 0 )) converges. 4 x n y on [a, b] and the limit function y is continuous. Then there is x : [a, b] R which is differentiable on [a, b] and x on [a, b] and x = y. Another way of saying this is x n ( ) lim x n(t) = lim x n(t) n n

17 Since x n is integrable, by the recapture theorem, x n (t) = t t 0 x n(s) ds + x n (t 0 ). Hence, for any n and m, we have x n (t) x m (t) = If t > t 0, then x n (t) x m (t) t t 0 (x n(s) x m(s)) ds + x n (t 0 ) x m (t 0 ). t (x n(s) x m(s)) ds + x n(t 0 ) x m (t 0 ) t 0 t t 0 x n(s) x m(s) + x n (t 0 ) x m (t 0 )

18 Since x n y on [a, b], (x n) satisfies the UCC. For a given ɛ > 0, we have there is N 1 so that x n(s) x m(s) < ɛ 4(b a), for n > m > N 1, s [a, b] (α) Thus, using Equation α, for n > m > N 1, t > t 0 [a, b] x n (t) x m (t) < ɛ 4(b a) t = ɛ 4 + x n(t 0 ) x m (t 0 ) t 0 ds + x n (t 0 ) x m (t 0 ) A similar argument for t < t 0 gives the same result: for n > m > N 1, t < t 0 [a, b] x n (t) x m (t) < ɛ 4 + x n(t 0 ) x m (t 0 )

19 Hence, since the statement if clearly true at t = t 0, we can say for n > m > N 1, t > t 0 [a, b] x n (t) x m (t) < ɛ 4 + x n(t 0 ) x m (t 0 ) We also know (x n (t 0 )) converges and hence is a Cauchy Sequence. Thus, there is N 2 so that x n (t 0 ) x m (t 0 ) < ɛ/4 for n > m > N 2. We conclude if N > max(n 1, N 2 ), both conditions apply and we can say x n (t) x m (t) < ɛ 4 + ɛ 4 = ɛ, for n > m > N, t [a, b] 2 This shows (x n ) satisfies the UCC and there is x : S R so that x n x. So far we know t x n (t) = x n (t 0 ) + x n(s) ds. t 0

20 Since x n y and each x n is Riemann Integrable on [a, b], by the integral interchange theorem t t 0 x n(s) ds = t t 0 y(s) ds on [a, b]. Also, x n We conclude and so x implies lim n x n (t) = x(t). lim x n(t) = lim x n(t 0 ) + lim n n n t x(t) = x(t 0 ) + t 0 t t 0 y(s) ds x n(s) ds. Since we assume y is continuous on [a, b], by the FTOC, x (t) = y(t) on [a, b].

21 Homework 23 The first three problems are based on this kind of thing: We know 1 0 1/(1 + x 2 )dx = arctan(1) = π/4. We can write this an a orm sum limit. Take ormly spaced partitions of width 1/n of [0, 1]. Then points in the partition have the form k/n and we take as evaluation points the RH endpoint. The Riemann sum is then S(f (x) = 1/(1 + x 2 ), P n, S n ) = = n 1/(1 + k 2 /n 2 )(1/n) k=1 n 1/(1 + k 2 /n 2 )(1/n) = π/4. k=1 So a cool question might be Prove lim n 4 n k=1 n/(n2 + k 2 ) = π. Note we know f (x) = 1/(1 + x 2 ) is RI on [0, 1] since it is continuous and our theorem says the limit of these Riemann sums converges to 1 0 1/(1 + x 2 )dx.

22 Homework Evaluate lim n n k=1 k/n 3/2. n 23.2 Evaluate lim n k=1 1/(n + k) Prove lim n n k=1 1/ n 2 k 2 = π/2. Hint The function here is not Riemann integrable on [0, 1] but it is on [L, 1] for any 0 < L < 1. Start with orm partitions of the interval [L, 1] and go from there Discuss the convergence of the sequence of functions (x n ) x n (t) = { 0, 0 t 1/n 1, 1/n < t 2/n 0, 2/n < t Prove if g is a bounded function on [a, b] and x n x on [a, b], then g x n g x on [a, b].