Mathematics 805 Final Examination Answers

Similar documents
INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

4.8 Improper Integrals

REAL ANALYSIS I HOMEWORK 3. Chapter 1

e t dt e t dt = lim e t dt T (1 e T ) = 1

Contraction Mapping Principle Approach to Differential Equations

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh.

MTH 146 Class 11 Notes

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES

How to prove the Riemann Hypothesis

MAT 266 Calculus for Engineers II Notes on Chapter 6 Professor: John Quigg Semester: spring 2017

5.1-The Initial-Value Problems For Ordinary Differential Equations

( ) ( ) ( ) ( ) ( ) ( y )

Integral Transform. Definitions. Function Space. Linear Mapping. Integral Transform

0 for t < 0 1 for t > 0

September 20 Homework Solutions

SOLUTIONS TO ASSIGNMENT 2 - MATH 355. with c > 3. m(n c ) < δ. f(t) t. g(x)dx =

1.0 Electrical Systems

Chapter Direct Method of Interpolation

FM Applications of Integration 1.Centroid of Area

f t f a f x dx By Lin McMullin f x dx= f b f a. 2

An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples.

Application on Inner Product Space with. Fixed Point Theorem in Probabilistic

3. Renewal Limit Theorems

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals

GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS

Some Inequalities variations on a common theme Lecture I, UL 2007

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx.

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k

2k 1. . And when n is odd number, ) The conclusion is when n is even number, an. ( 1) ( 2 1) ( k 0,1,2 L )

Chapter 2. First Order Scalar Equations

Convergence of Singular Integral Operators in Weighted Lebesgue Spaces

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.

FURTHER GENERALIZATIONS. QI Feng. The value of the integral of f(x) over [a; b] can be estimated in a variety ofways. b a. 2(M m)

1. Introduction. 1 b b

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016

MATH 351 Solutions: TEST 3-B 23 April 2018 (revised)

ES.1803 Topic 22 Notes Jeremy Orloff

Solutions to Assignment 1

Magnetostatics Bar Magnet. Magnetostatics Oersted s Experiment

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM

Hint: There's a table of particular solutions at the end of today's notes.

MATH 31B: MIDTERM 2 REVIEW. x 2 e x2 2x dx = 1. ue u du 2. x 2 e x2 e x2] + C 2. dx = x ln(x) 2 2. ln x dx = x ln x x + C. 2, or dx = 2u du.

Chapter 2. Motion along a straight line. 9/9/2015 Physics 218

Properties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)

Positive and negative solutions of a boundary value problem for a

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

Problem Set 4: Solutions Math 201A: Fall 2016

Week #13 - Integration by Parts & Numerical Integration Section 7.2

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15.

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

Fractional Calculus. Connor Wiegand. 6 th June 2017

Green s Functions and Comparison Theorems for Differential Equations on Measure Chains

MA 214 Calculus IV (Spring 2016) Section 2. Homework Assignment 1 Solutions

Echocardiography Project and Finite Fourier Series

ON THE OSTROWSKI-GRÜSS TYPE INEQUALITY FOR TWICE DIFFERENTIABLE FUNCTIONS

EE 315 Notes. Gürdal Arslan CLASS 1. (Sections ) What is a signal?

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

14. The fundamental theorem of the calculus

LAPLACE TRANSFORMS. 1. Basic transforms

rank Additionally system of equation only independent atfect Gawp (A) possible ( Alb ) easily process form rang A. Proposition with Definition

Integration Techniques

Chapter 7: Solving Trig Equations

SOLUTIONS TO ECE 3084

A Simple Method to Solve Quartic Equations. Key words: Polynomials, Quartics, Equations of the Fourth Degree INTRODUCTION

Journal of Mathematical Analysis and Applications. Two normality criteria and the converse of the Bloch principle

Signals and Systems Profs. Byron Yu and Pulkit Grover Fall Midterm 1 Solutions

An random variable is a quantity that assumes different values with certain probabilities.

3 Motion with constant acceleration: Linear and projectile motion

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

t + t sin t t cos t sin t. t cos t sin t dt t 2 = exp 2 log t log(t cos t sin t) = Multiplying by this factor and then integrating, we conclude that

EECE 301 Signals & Systems Prof. Mark Fowler

Physics 2A HW #3 Solutions

New Inequalities in Fractional Integrals

Solutions to Problems from Chapter 2

a. Show that these lines intersect by finding the point of intersection. b. Find an equation for the plane containing these lines.

can be viewed as a generalized product, and one for which the product of f and g. That is, does

Phil Wertheimer UMD Math Qualifying Exam Solutions Analysis - January, 2015

Minimum Squared Error

Minimum Squared Error

MATH 128A, SUMMER 2009, FINAL EXAM SOLUTION

THE BERNOULLI NUMBERS. t k. = lim. = lim = 1, d t B 1 = lim. 1+e t te t = lim t 0 (e t 1) 2. = lim = 1 2.

EXERCISE - 01 CHECK YOUR GRASP

Review - Quiz # 1. 1 g(y) dy = f(x) dx. y x. = u, so that y = xu and dy. dx (Sometimes you may want to use the substitution x y

graph of unit step function t

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX

4 Sequences of measurable functions

Math 106: Review for Final Exam, Part II. (x x 0 ) 2 = !

Y 0.4Y 0.45Y Y to a proper ARMA specification.

on the interval (x + 1) 0! x < ", where x represents feet from the first fence post. How many square feet of fence had to be painted?

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

From Complex Fourier Series to Fourier Transforms

p(x) = 3x 3 + x n 3 k=0 so the right hand side of the equality we have to show is obtained for r = b 0, s = b 1 and 2n 3 b k x k, q 2n 3 (x) =

Solutions for Nonlinear Partial Differential Equations By Tan-Cot Method

Some basic notation and terminology. Deterministic Finite Automata. COMP218: Decision, Computation and Language Note 1

EECE 301 Signals & Systems Prof. Mark Fowler

MATH 174A: PROBLEM SET 5. Suggested Solution

Transcription:

. 5 poins Se he Weiersrss M-es. Mhemics 85 Finl Eminion Answers Answer: Suppose h A R, nd f n : A R. Suppose furher h f n M n for ll A, nd h Mn converges. Then f n converges uniformly on A.. 5 poins Se Lebesgue s Domined Convergence Theorem. b Se Lebesgue s Monoone Convergence Theorem. c Define [, n] f n n oherwise Noe h f n d, bu n f n. Why does his conrdic neiher he Domined nor he Monoone Convergence Theorems? Answer: Suppose h f n L nd f n f lmos everyone. Suppose furher h f n g lmos everywhere, wih g L. Then f L nd f f n. b Suppose h f n L is monoone sequence, nd suppose furher h f n is bounded. Then f n converges lmos everywhere o funcion f L, nd f f n. c This emple does no viole he Domined Convergence Theorem, becuse here is no funcion g L wih f n g. The emple does no viole he Monoone Convergence Theorem becuse he sequence f n is no monoone. 3. poins Suppose h K is compc meric spce, nd g : K R coninuous funcion, wih g > for ll K. Suppose furher h g n : K R is sequence of coninuous funcions converging uniformly o g on K. Show h here is some ineger N so h if n > N, hen g n > for ll K. Answer: Becuse K is compc, we now h g ins is minimum vlue some K. In priculr, we cn find some ɛ so h g ɛ for ll K. Becuse g n g uniformly, we cn find n ineger N so h if n N, hen g g n ɛ/ for ll K. This implies h g n ɛ/ for ll K, so g n >. 4. 5 poins Le M, d nd M, d be meric spces, nd f : M M funcion. Define wh is men by f is uniformly coninuous. b Suppose h M, d nd M, d re meric spces, nd f : M M is uniformly coninuous. Suppose h A, B M wih d A, B. Show h d fa, fb. c Give n emple o show h i is possible for f : M M o be coninuous, wih d A, B nd d fa, fb. Answer: Given ny ɛ >, here is δ > so h if d, y < δ, hen d f, fy < ɛ. b Given ny ɛ >, we cn find δ > so h if d, y < δ, hen d f, fy < ɛ. Becuse d A, B, we cn find A nd b B so h d, b < δ. This sys h d f, fb < ɛ, nd so d fa, fb < ɛ. Becuse ɛ is rbirry, we cn conclude h d fa, fb. c Consider he funcion f : R R R defined by f, y y. Le A {n, n : n Z, n > }. Le B {n, : n Z, n > }. Then d A, B. However, fa {}, while fb {}, so d fa, fb. 5. poins Show h sin d

cn be defined s n improper Riemnn inegrl bu no s Lebesgue inegrl. Hin: Le, nd sin imie he proof h d cn be defined s n improper Riemnn inegrl bu no Lebesgue inegrl. Answer: Le, so h, d d, nd d d/. If, hen. Therefore, s Riemnn inegrl, we hve sin d b b b sin sin d b d Se u /, dv sin d, du 3/ d, nd v cos. We hve b sin d cos ] b b b b The firs i is cos, nd he inegrl converges, becuse Riemnn inegrl is defined. cos d. 3/ On he oher hnd, if he inegrl converged s Lebesgue inegrl, so would sme subsiuions led us o consider b n+ n sin b sin d. Bu n+ d sin d n + n 3/ d converges. Therefore, he improper n +. Becuse n + diverges, we now h he Lebesgue inegrl mus no eis. sin d. The 6. 5 poins As usul, we define e e B n n n! nd B n B n. Recll h B, B, nd B + 6. Show h B n n B n. Answer: We hve B n n! n e e B n n! n e B n + B n n e n! e + e e + e + e e e + n B n n! e / e Equing coefficiens, we see h B n + B n n B n. n B n n n! 7. poins Suppose h f C. Le m be n ineger. Prove using inducion on m h f f d + m B! f f m B m f m d

Answer: We firs hve he cse m. We mus show h f f d + B f f! f d f f + f d f d To chec his, we inegre by prs, seing u, du d, dv f d, nd v f. We hve f d f f + f d f d f f + ] f f f + f + f f. Now, for he inducive sep, we mus prove h m B f f m! or m m+ B! f d B m f m d f f m+ B m+ m +! f m+ d B m f m d B m+ f m f m m+ B m+ m +! m +! f m+ d Muliply hrough by m+, nd his is he sme s B m f m d m+ B m+ m +! f m f m B m+ m +! f m+ d We cn prove his by using inegrion by pr on he lef-hnd side. Le u f m, du f m+ d, dv Bm d, nd v Bm+ m+!. We hve B m f m d B ] m+ m +! f m B m+ m +! f m+ d m +! B m+ m +! B m+ f m B m+ f m f m f m B m+ m +! f m+ d B m+ m +! f m+ d So i remins o show h m+ B m+ B m+. If m + is odd, his is rue becuse B m+. If m + is even, his is rivilly rue inequliy. 8. 8 poins Here is ye noher wy o compue migh be needed o do his problem: D n : n n e i sin D n sinn + sin K n : n D n + d. Recll he following fcs, some of which

cosn + K n n + cos sinn + / n + sin/ D n d cos sin / K n d Suppose h g is Riemnn-inegrble on [, b] wih g M. Show h b cos b M g d nd conclude h b Show h b cos g d. cos 4 sin d c Le f 4 sin, < Show h i is possible o define f so h f is coninuous nd bounded on [, ]. d Show h cos f d. e Show h nd hen f Le y nd conclude h g Finlly, inegre by prs o show h cos d sin / d 4. / sin sin d d. sin sin d d. Answer: This problem is en from An elemenry mehod for evluing in infinie inegrl, by M.R. Spiegel, The Americn Mhemicl Monhly, 58:8, Oc. 95, pp. 555 558. This is rivil: b cos g d b cos b g d M Mb d.

The i follows immediely. b We hve K d K d cos d cos cos sin d / cos 4 sin d / c Recll h sin y y y3 6 +. This mens h sin/ 3 48 + nd sin / Therefore, 4 4 48 +. f 4 sin 4 sin 4 sin 4 + 4 4 / + 4 / + + + Therefore, he funcion is cully nlyic, if we define f o be. d Becuse f sisfies he hypoheses of pr, his follows immediely from. e We hve cos 4 sin d cos cos d 4 sin d cos d cos d d sin d sin d 4 f Le y, so y, nd hen d dy. Noe h if, hen y. We hve 4 sin sin sin dy dy sin y y dy sin / dy sin y y dy g Inegrion by prs is no quie rivil. We se u sin, dv d, du sin cos d sin d, nd v. We hve sin ] d sin sin + d sin y y dy

sin Now, we cn compue h nd hen dy d, so d dy: sin, nd s well. For he res, we subsiue y, sin d sin dy sin y y dy