Homework 1 Solutions. 1. (Theorem 6.12(c)) Let f R(α) on [a, b] and a < c < b. Show f R(α) on [a, c] and [c, b] and that

Similar documents
Properties of the Riemann Stieltjes Integral

f(x)dx . Show that there 1, 0 < x 1 does not exist a differentiable function g : [ 1, 1] R such that g (x) = f(x) for all

MAT612-REAL ANALYSIS RIEMANN STIELTJES INTEGRAL

Chapter 8: Methods of Integration

a n+2 a n+1 M n a 2 a 1. (2)

Calculus II: Integrations and Series

Week 7 Riemann Stieltjes Integration: Lectures 19-21

Review. April 12, Definition 1.2 (Closed Set). A set S is closed if it contains all of its limit points. S := S S

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as

IMPORTANT THEOREMS CHEAT SHEET

Section Areas and Distances. Example 1: Suppose a car travels at a constant 50 miles per hour for 2 hours. What is the total distance traveled?

The Regulated and Riemann Integrals

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60.

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004

Overview of Calculus I

Properties of the Riemann Integral

a n = 1 58 a n+1 1 = 57a n + 1 a n = 56(a n 1) 57 so 0 a n+1 1, and the required result is true, by induction.

Math 554 Integration

Test 3 Review. Jiwen He. I will replace your lowest test score with the percentage grade from the final exam (provided it is higher).

The Fundamental Theorem of Calculus. The Total Change Theorem and the Area Under a Curve.

Properties of Lorenz Curves for Transformed Income Distributions

Homework 4. (1) If f R[a, b], show that f 3 R[a, b]. If f + (x) = max{f(x), 0}, is f + R[a, b]? Justify your answer.

0.1 Properties of regulated functions and their Integrals.

Handout I - Mathematics II

Review of Calculus, cont d

Reversing the Chain Rule. As we have seen from the Second Fundamental Theorem ( 4.3), the easiest way to evaluate an integral b

Calculus in R. Chapter Di erentiation

Lecture 1. Functional series. Pointwise and uniform convergence.

Principles of Real Analysis I Fall VI. Riemann Integration

Abstract inner product spaces

Improper Integrals. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

7.2 The Definite Integral

Presentation Problems 5

Review on Integration (Secs ) Review: Sec Origins of Calculus. Riemann Sums. New functions from old ones.

Calculus and linear algebra for biomedical engineering Week 11: The Riemann integral and its properties

1 i n x i x i 1. Note that kqk kp k. In addition, if P and Q are partition of [a, b], P Q is finer than both P and Q.

Math 120 Answers for Homework 13

Advanced Calculus I (Math 4209) Martin Bohner

MATH 409 Advanced Calculus I Lecture 22: Improper Riemann integrals.

Math 118: Honours Calculus II Winter, 2005 List of Theorems. L(P, f) U(Q, f). f exists for each ǫ > 0 there exists a partition P of [a, b] such that

Math& 152 Section Integration by Parts

Introduction and Review

Math 360: A primitive integral and elementary functions

1 The fundamental theorems of calculus.

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim

Convergence of Fourier Series and Fejer s Theorem. Lee Ricketson

Quadratic Residues. Chapter Quadratic residues

Week 10: Riemann integral and its properties

MATH 409 Advanced Calculus I Lecture 19: Riemann sums. Properties of integrals.

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

38 Riemann sums and existence of the definite integral.

7.2 Riemann Integrable Functions

Definite Integrals. The area under a curve can be approximated by adding up the areas of rectangles = 1 1 +

4.4 Areas, Integrals and Antiderivatives

FUNDAMENTALS OF REAL ANALYSIS by. III.1. Measurable functions. f 1 (

McGill University Math 354: Honors Analysis 3 Fall 2012 Solutions to selected Exercises. g(x) 2 dx 1 2 a

The Riemann-Stieltjes Integral

MATH1013 Tutorial 12. Indefinite Integrals

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

Notes on length and conformal metrics

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.

MATH 144: Business Calculus Final Review

Riemann Sums and Riemann Integrals

Riemann Stieltjes Integration - Definition and Existence of Integral

1 The Riemann Integral

13.4. Integration by Parts. Introduction. Prerequisites. Learning Outcomes

Calculus I-II Review Sheet

Riemann Sums and Riemann Integrals

Fundamental Theorem of Calculus

10 Vector Integral Calculus

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.)

x = b a n x 2 e x dx. cdx = c(b a), where c is any constant. a b

Supplement 4 Permutations, Legendre symbol and quadratic reciprocity

Math Calculus with Analytic Geometry II

Calculus of Variations: The Direct Approach

Section 7.1 Integration by Substitution

1 The fundamental theorems of calculus.

Math 116 Calculus II

MATH , Calculus 2, Fall 2018

Lecture 3 ( ) (translated and slightly adapted from lecture notes by Martin Klazar)

Math 3B: Lecture 9. Noah White. October 18, 2017

A BRIEF INTRODUCTION TO UNIFORM CONVERGENCE. In the study of Fourier series, several questions arise naturally, such as: c n e int

Question 1. Question 3. Question 4. Graduate Analysis I Chapter 5

Chapter 6. Riemann Integral

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)

UNIFORM CONVERGENCE MA 403: REAL ANALYSIS, INSTRUCTOR: B. V. LIMAYE

MATH 409 Advanced Calculus I Lecture 18: Darboux sums. The Riemann integral.

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Appendix to Notes 8 (a)

7 - Continuous random variables

Math 135-2, Homework 1

Hadamard-Type Inequalities for s Convex Functions I

Math 324 Course Notes: Brief description

The Product Rule state that if f and g are differentiable functions, then

Regulated functions and the regulated integral

Indefinite Integral. Chapter Integration - reverse of differentiation

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp.

Final Exam - Review MATH Spring 2017

Transcription:

Homework Solutions. (Theorem 6.(c)) Let f R(α) on [, b] nd < c < b. Show f R(α) on [, c] nd [c, b] nd tht fdα = ˆ c fdα + c fdα Solution. Let ɛ > 0 nd let be rtition of [, b] such tht U(, f, α) L(, f, α) < ɛ. Let = {c}; tht is, the rtition formed from ll the oints of nd the oint c. Then, U(, f, α) L(, f, α) U(, f, α) L(, f, α) < ɛ s is renement of. Write = Q R where Q = {x : x c} nd R = {x : x c}. Then, Q is rtition of [, c], R is rtition of [c, b], nd we hve U(, f, α) L(, f, α) = (U(Q, f, α) L(Q, f, α)) + (U(R, f, α) L(R, f, α)) from which it follows tht U(Q, f, α) L(Q, f, α) < ɛ nd U(R, f, α) L(R, f, α) < ɛ s both of these untities re nonnegtive. Hence, f R(α) on [, c] nd [c, b]. To comute the integrl, we note tht fdα = (U(, f, α)) where rnges over ll rtitions of [, b]. This cn be relced by (U(, f, α)) where rnges over ll rtitions of [, b] contining c s to every we cn ssocite = {c} with U(, f, α) U(, f, α). Now, if is such rtition, let Q, R be s bove (so = Q R) nd note U(, f, α) = U(Q, f, α)+u(r, f, α). Hence, U(, f, α) = where we hve identied = Q R s bove. To rove tht (U(Q, f, α) + U(R, f, α)) (U(Q, f, α)) + (U(R, f, α)) (U(Q, f, α) + U(R, f, α)) (U(Q, f, α)) + (U(R, f, α)) let ɛ > 0 nd let Q, R be rtitions of [, c], [c, b] rising from nd (ie j = Q j R j for j =, ) such tht U(Q, f, α) (U(Q, f, α)) < ɛ nd Then, if = Q R, we hve so U(R, f, α) (U(R, f, α)) < ɛ U(, f, α) U(, f, α) = U(Q, f, α) + U(R, f, α) < s ɛ > 0 ws rbitrry. Lstly, nd U(, f, α) (U(Q, f, α)) + (U(R, f, α)) (U(Q, f, α)) = (U(Q, f, α)) = Q (U(R, f, α)) = (U(R, f, α)) = R (which I will not rove here) from which the result follows. (U(Q, f, α)) + (U(R, f, α)) + ɛ ˆ c c fdα fdα

. Let f, α : [, b] R be two incresing functions. Suose f R(α). Show tht α R(f) nd tht fdα + αdf = f(b)α(b) f()α() Solution. If is rtition of [, b] given by = x 0 < x < < x n = b, then see nd similrly Thus, U(, f, α) L(, f, α) = f(x) = f(x j ) nd x [x j,x j] α(x) = α(x j ) nd x [x j,x j] x [x j,x j] f(x) = f(x j ) x [x j,x j] α(x) = α(x j ) (f(x j ) f(x j ))(α(x j ) α(x j )) = U(, α, f) L(, α, f) j= Let ɛ > 0. As f R(α), we cn nd such tht U(, f, α) L(, f, α) < ɛ. By the bove, for this we lso hve U(, α, f) L(, α, f) < ɛ, so α R(f). Now, fdα + We see, if is notted s bove, tht U(, f, α) + L(, α, f) = = αdf = U(, f, α) + L(, α, f) f(x j )(α(x j ) α(x j )) + j= α(x j )(f(x j ) f(x j )) j= f(x j )α(x j ) f(x j )α(x j ) j= = f(b)α(b) f()α() As we my tke common renements in evluting U(, f, α)+ L(, α, f) (ie if Q m is minimizing seuence of rtitions for the, R m mximizing seuence of rtitions for the, then we my evlute this exression by tking the limit s m with the rtitions m = Q m R m ), we see this exression is s climed. 3. (Exercise 6.3) Dene functions β j for j =,, 3 s follows: set β j (x) = 0 if x < 0 nd β j (x) = if x > 0 for ll j. Then, set β (0) = 0, β (0) =, nd β 3 (0) =. Let f be bounded function on [, ]. () Clim. f R(β ) if nd only if f(0+) = f(0) nd, in tht cse, fdβ = f(0). roof. Let be rtition of [, ] given by = x 0 < x < < x n = nd ose 0 (sy 0 = x ). Then, U(, f, β ) L(, f, β ) = ( f(x) f(x)) x [x,x +] s β (x j ) β (x j ) is 0 if j + nd if j = +. x [x,x +] Suose f R(β ). Let ɛ > 0. Then, there is rtition with 0 (eg tke renement if necessry) nd U(, f, β ) L(, f, β ) < ɛ. ut δ = x + x. Then, if 0 x < δ, we hve f(x) f(0) ( x [x,x +] f(x) f(x)) = U(, f, β ) L(, f, β ) < ɛ x [x,x +]

so f(0+) = f(0). Now, ose f(0+) = f(0). Let ɛ > 0 nd let δ (0, ) be such tht 0 x < δ = f(x) f(0) < ɛ. Then, for given by, 0, δ,, we hve U(, f, β ) L(, f, β ) = ( x [x,x +] so f R(β ). In this cse we see f(x) f(x)) = ( x [x,x +] U(, f, β ) = ( x [x,x +] x [x,x +] f(x)) = f(0+) = f(0) f(x) f(0)+f(0) x [x,x +] f(x)) ɛ (b) Clim. f R(β ) if nd only if f(0 ) = f(0) nd, in tht cse, fdβ = f(0). Let be rtition of [, ] given by = x 0 < x < < x n = nd ose 0 (sy 0 = x ). Then, U(, f, β ) L(, f, β ) = ( f(x) f(x)) x [x,x ] s β (x j ) β (x j ) is 0 if j nd if j =. x [x,x ] Suose f R(β ). Let ɛ > 0. Then, there is rtition with 0 (eg tke renement if necessry) nd U(, f, β ) L(, f, β ) < ɛ. ut δ = x x. Then, if δ < x 0, we hve so f(0 ) = f(0). f(x) f(0) ( x [x,x ] f(x) f(x)) = U(, f, β ) L(, f, β ) < ɛ x [x,x ] Now, ose f(0 ) = f(0). Let ɛ > 0 nd let δ (0, ) be such tht δ < x 0 = f(x) f(0) < ɛ. Then, for given by, δ, 0,, we hve U(, f, β ) L(, f, β ) = ( x [x,x ] so f R(β ). In this cse we see f(x) f(x)) = ( x [x,x ] U(, f, β ) = ( x [x,x ] x [x,x ] f(x)) = f(0 ) = f(0) f(x) f(0)+f(0) x [x,x ] f(x)) ɛ (c) Clim. f R(β 3 ) if nd only if f is continuous t 0. roof. Let be rtition of [, ] given by = x 0 < x < < x n = nd ose 0 (sy 0 = x ). Then, U(, f, β 3 ) L(, f, β 3 ) = ( x [x,x ] f(x) f(x)) + x [x,x ] ( x [x,x +] f(x) f(x)) x [x,x +] s β (x j ) β (x j ) is 0 if j, + nd if j =, +. Suose f R(β 3 ). Let ɛ > 0. Then, there is rtition with 0 (eg tke renement if necessry) nd U(, f, β 3 ) L(, f, β 3 ) < ɛ. ut δ = min(x x, x + x ). Then, if x < δ, we hve f(x) f(0) ( x [x,x ] f(x) f(x))+( x [x,x ] x [x,x +] f(x) f(x)) = (U(, f, β 3) L(, f, β 3 )) < ɛ x [x,x +] 3

so lim x 0 f(x) = f(0). Now, ose lim x 0 f(x) = f(0). Let ɛ > 0 nd let δ (0, ) be such tht x < δ = f(x) f(0) < ɛ. Then, for given by, δ, 0, δ,, we hve U(, f, β 3 ) L(, f, β 3 ) = ( so f R(β 3 ). In this cse we see x [x,x ] U(, f, β 3) = ( ( f(x) f(x))+ x [x,x ] ( x [x,x ] f(x)) + ( x [x,x +] x [x,x +] f(x) f(x)) x [x,x +] ɛ+ ɛ = ɛ f(x)) = f(0) (d) This ws roven bove. 4. (Exercise 6.8) Suose f : [, ) [0, ) is monotoniclly decresing. Clim. f(x)dx converges if nd only if n= f(n) converges. roof. We note by denition tht A f(x)dx converges if nd only if lim A f(x)dx converges. Now, A f(x)dx is n incresing function of A s f 0. Thus, f(x)dx converges if nd only if A f(x)dx is bounded bove uniformly in A. Suose n= f(n) converges. Let A > nd ose m A < m+ where m Z. Then, A f(x)dx m+ f(x)dx U(, f, x) for ny rtition of [, m + ]. Consider given by x k = k + for k = 0,..., m. Then, s f is decresing, U(, f, x) = f(x k )(x k x k ) = f(x k ) = f(k) f(k) k= Thus, k= f(k) is n uer bound for A f(x)dx indeendent of A, so f(x)dx converges. Now, ose n= f(n) diverges. Let M R. Chose m Z such tht m n= f(n) > M. Let be the rtition of [, m + ] given by x k = k + for k = 0,..., m. Then, s f is decresing, ˆ m+ k= k= k= k= f(x)dx L(, f, x) = f(x k )(x k x k ) = f(k) > M Thus, s M ws rbitrry, A f(x)dx is not bounded bove indeendent of A nd so does not converge. 5. (Exercise 6.0 -c) Let, > 0 be such tht + =. () Clim. If u 0, v 0, then uv u k= + v. Moveover eulity occurs if nd only if u = v. + v uv dened on [0, ). For u = 0, we see roof. Fix v 0 nd consider the function f(u) = u 0. Dierentiting with resect to u, we hve f (u) = u v. From + this is v =, we see >, so this is incresing in u. Thus, f is decresing in u until the criticl oint f (u 0 ) = 0 nd then incresing for u u 0, so to show the result we evlute f t u 0 where f (u 0 ) = 0. This is u 0 = v, which hs uniue solution for u 0 0, nmely u 0 = v. We hve f(u 0 ) = u 0 + v u 0v = v 4 + v v v

Solving + = for gives =, so f(u 0 ) = v + v v + = v v = 0 Thus, f hs uniue minimum (s f is strictly incresing) t u = v, which is the sme s u = v, nd t this oint it ttins the vlue 0. (b) Suose f, g R(α), f, g 0, nd b f dα = = b g dα. Clim. b fgdα roof. For x [, b], we hve 0 f(x), g(x), so by () we see f(x)g(x) f(x) [, b] this becomes f fgdα + g dα = + = s desired. (c) Suose f, g R(α) re comlex functions. + g(x). Integrting over Clim. We hve fgdα ( f dα) / ( g dα) / b roof. We use the nottion f = ( f dα) / b nd g = ( g dα) /. First, ose f, g > 0. Consider F = f f nd G = g g. Then, We see f g fgdα f g F dα = fg dα = f b f dα = f dα b f dα = F Gdα nd likewise b G dα =. Moreover, F, G 0, so by (b) we hve b F Gdα. With the bove, this gives so b fgdα f g s climed. f g fgdα Now, ose f = 0. We show b fgdα = 0. Indeed, g is bounded, so g is bounded, sy 0 g M. Then, b fgdα b f Mdα, so it suces to show b f dα = 0. Now, if f = 0, then f = b f dα = 0, so L(, f, α) = 0. Hence, for ny xed we must hve L(, f, α) = 0 (s f 0), so this shows tht for every [x j, x j ] given by, we either hve [x ( f(x) ) = 0 or α(x j ) α(x j ) = 0 j,x j] If is rtition of [, b] given by x 0 < < x n, we see ( [x j,x j] f(x) ) = [x j,x j] ( f(x) ) 5

Hence, on [x j, x j ] we hve so we hve L(, f, α) = 0 for ll. Thus, f(x) = 0 or α(x j) α(x j ) = 0 [x j,x j] f dα = L(, f, α) = 0 Likewise, if g = 0, then b fgdα = 0, so the clim holds. 6. (Exercise 6.) For u R(α), let u = ( b u dα). Suose f, g, h R(α). Show f h f g + g h roof. Let F = f h nd G = g h, so we wish to show F + G F + G. For this, it suces to show F + G ( F + G ). From the left hnd side, we hve F + G dα F + F G + G dα = F + F G dα + G Now, from exercise 6.0, we hve b F G dα F G, so we hve s climed. F + G F + F G + G = ( F + G ) 7. (Exercise 6.3) Dene f(x) = x+ sin(t )dt x () Clim. f(x) < x for x > 0 roof. Let u = t, so du = tdt nd Integrting by rts, this is ˆ x+ x sin(t )dt = ˆ (x+) x sin(u) du u Hence, cos(u) ˆ (x+) (x+) u u=x cos(u) du x 4u 3 = cos(x ) x cos((x + ) ) (x + ) ˆ (x+) cos(u) du x 4u 3 f(x) < ˆ x + (x+) (x + ) + x du 4u 3 Note the ineulity is strict here s both cos(u) re not the sme (see exercise 6.). = x + +( ) (x+) (x + ) u u=x = x + (x + ) + x (x + ) = x 4u 3 nd 4u 3 re continuous on [x, x + ] nd these functions (b) Clim. xf(x) = cos(x ) cos((x + ) ) + r(x) where r(x) < c x for some constnt c. roof. ut r(x) = xf(x) cos(x ) + cos((x + ) ). By the bove, r(x) = x cos((x + ) ) (x + ) ˆ (x+) + cos((x + ) ) x cos(u) du x 4u 3 6 = cos((x + ) ) (x + ) ˆ (x+) x cos(u) du x 4u 3

nd so r(x) ˆ (x+) x + + x x du 4u 3 = x + + x( x (x + ) ) = x + + x(x + x x(x + ) ) = x + so c = works. (c) Clim. The uer nd lower limits of xf(x) re nd resectively. roof. We know x f(x) < by (). From (b), we hve xf(x) = (cos(x ) cos((x + ) ) + r(x)) where r(x) 0 s x, so it suces to show the uer limit of cos(x ) cos((x + ) ) is nd the lower limit of cos(x ) cos((x + ) ) is. Consider the seuence formed by tking x n = πn for n Z +. We hve cos(x n) cos((x n + ) ) = cos(πn) cos(πn + πn + ) = cos( πn + ) where we hve used cos(a + B) = cos(a) cos(b) sin(a) sin(b). Hence, we need only show cos( πn + ) hs lower limit. We know tht this hs lower limit. Let ɛ > 0. Let δ > 0 be such tht x π < δ = cos(x) + < ɛ. Then, if x (m + )π < δ, we hve cos(x) + < ɛ by eriodicity. Let M > 0 nd nd N > M such tht π(n + ) πn < δ for n N. Then, s πn s n, we see there is n x M with x = πn for some n N nd x (m + )π < δ for some m Z. Thus, cos( πn) + < ɛ, from which it follows tht the lower limit of cos( πn + ) is. The roof tht the lower limit of xf(x) = is similr with π(n + ) in lce of πn. (d) Clim. 0 sin(t )dt converges. roof. It suces to show sin(t )dt converges. As bove, we hve nd A cos(u) u 3 ˆ A sin(t )dt = cos() du is bsolutely convergent, cos(a ) A cos(a ) A ˆ A cos(u) du u 3 0 s A, so this converges. 7