f(f 1 (B)) B f(f 1 (B)) = B B f(s) f 1 (f(a)) A f 1 (f(a)) = A f : S T 若敘述為真則證明之, 反之則必須給反例 (Q, ) y > 1 y 1/n y t > 1 n > (y 1)/(t 1) y 1/n < t
|
|
- Beatrix Collins
- 5 years ago
- Views:
Transcription
1 S T A S B T f : S T f(f 1 (B)) B f(f 1 (B)) = B B f(s) f 1 (f(a)) A f 1 (f(a)) = A f : S T f : S T S T f y T f 1 ({y) f(d 1 D 2 ) = f(d 1 ) f(d 2 ) D 1 D 2 S F x 0 x F x = 0 x = 0 x y = x y x, y F x + y x + y x, y F x y x y x, y F 若敘述為真則證明之, 反之則必須給反例 (Q, <) (Q, ) y > 1 y 1/n y y n 1 > n(y 1) n N y 1 > n(y 1/n 1) t > 1 n > (y 1)/(t 1) y 1/n < t
2 y 1/n = 1 n x n x n+1 x n 1 n x n F F x 0 ε > 0 x ε x = 0 S = (0, 1) ε > 0 x S x < ε A R A A { x R x A A = ( A). A, B R A + B = {x + y x A, y B (A + B) = A + B (A + B) = A + B (A B) { A, B (A B) = { A, B (A B) { A, B (A B) = { A, B S R S = { x R x S. b > 1 r, s Q b r+s = b r b s r, s Q b r s = (b r ) s
3 x R B(x) = { b t R t Q, t x b r = B(r) r Q b x = B(x) x R y > 0 u, v R b u < y b v > y b u+1/n < y b v 1/n > y n y > 0 A w b w < y x = A b x = y x 1, x 2 b x 1 = b x 2 x 1 = x 2 x b x = y b b y {x n n=1 R k N S k = {x k, x k+1,, x k+n, x n S k x n S k n k n k y k = x n z k = x n {y k k=1 n k n k {z k k=1 {x n n=1 k y k {x n n=1 k z k {x n n=1 k y k = k 1 y k {x n n=1 z k = z k k x n = ( 1) n( 1 1 n) k n k k 1 x n k n k x n A R { b B A <. b B { x A x 0 {a n n=1 {x n n=1 R S k = k n=1 a n {S k k=1 x n x n+1 < a n n N {x n n=1 {S k k=1 x y f : R R f(x) f(y) 2 x 1 R x k+1 = f(x k ) k N {x n n=1
4 {x n n=1 {y n n=1 R { x n y n n=1 x n x n {x n n=1 x {x n n=1 x n x n {x n n=1 x {x n n=1 R x n+1 ϵ n x n n N {x n n=1 k n=1 ϵ n n=1 ϵ n k π : N N π {x n n=1 { x π(n) n=1 {x n n=1 {y n n=1 R ( x n + y n x n )( (x n + y n ) y n ) (x n + y n ) x ny n ( x n y n ( x n + y n x n + x n )( x n )( y n ) y n ; y n ). x n+1 x n n xn n x n+1 xn. x n n x n x n+1 x n { m m = 0, 1, 2,
5 { (1 + 1 mπ ) m = 1, 2, m 6 α S = { x [0, 1] x = kα 1 k N [0, 1] y [0, 1] ε > 0 x S (y ε, y + ε) α = 1 2π T = { x [0, 2π] x = k 2π k N [0, 2π] S [0, 1] S k = { x [0, 1] x = lα 1 1 l k + 1 S k 1 k {x n n=1 R x n x n {x n n=1 M x n M {x n n=1 m x n m x n = {x n n=1 x n = {x n n=1 x {x n n=1 a = x n a b = x n b {x n n=1 x R x n x x n p R n ( n ) 1 x i p p 1 p <, x p i=1 { x 1,, x n p =, x n = x n = x R x = (x 1,, x n )
6 M n m : M R A = x R m x 0 Ax 2 x 2, 2 2 ( k ) 1/2 x 2 = x 2 i x = (x 1,, x k ) R k. i=1 A = Ax 2 = { M R Ax 2 M x 2 x R m x R m x 2 =1 Ax 2 A x 2 x R m M R U R U = k I(a k, b k ), I (a k, b k ) (a l, b l ) = k l (M, d) A M A A {U i i I A U i i I A U i i I { (a k, b k ) N (a k, b k ) [a, b] k=1 k=1 [a, b] R N > 0 A B (M, d) A)) = (A) (A B) = (A) (B) (A B) (A) (B) (A B) (A) (B)
7 A (M, d) (M, d) A M (A ) = A A B (M, d) A)) = (A) (A B) = (A) (B) (A B) (A) (B) (A B) (A) (B) (M, d) A M A = ( A (M\A) ) ( (A)\A ). A B (M, d) A = (M\A) ( A) (A) ( A) A (A B) A B (A B) A B (A) (B) = (A B) = A B ( ( A)) = ( A) (M, d) A M A = A\ A (A) = M\ (M\A) ( (A)) = (A) ( (A)) = A
8 ( (A)) = A A A M\A A A = (A)\ A A (M, d) A M A = A E 0 = [0, 1] ( 1 3, 2 ) E1 3 [ 1] [ 2 0,, 3 3, 1]. E 2 [ 1 [ 2 0,, 9] 9, 3 [ 6, 9] 9, 7 ] [ 8, 9 9, 1]. E k E 1 E 2 E 2 E n 2 n 3 n C = n=1 E n C C (C) (M, d) A S (A) A S Q R A S S T A T A S B S B (A B) x x x {x k k=1 d(x k, x) < ε ε > 0 N > 0 k > N
9 x {x k k=1 x x k x k {x k k=1 x x k x k {x k k=1 x (M, d) N M (N, d) N (M, d) N M (N, d) (M, d) {p n n=1 {q n n=1 M {p n n=1 {q n n=1 d(p n, q n ) = 0. {p n n=1 {p n n=1 {p n n=1 {q n n=1 {q n n=1 {p n n=1 {p n n=1 {q n n=1 {q n n=1 {r n n=1 {p n n=1 {r n n=1 {p n n=1 {q n n=1 { d(p n, q n ) n=1 R M P, Q M d (P, Q) = d(p n, q n ), {p n n=1 P {q n n=1 Q {p n n=1 P {q n n=1 Q d(p n, q n ) = d(p n, q n) φ : M M x M {x n n=1 x n x n N M {x n n=1 φ(x) φ(x) M φ(x) {x n n=1 d ( φ(x), φ(y) ) = d(x, y) x, y M. φ(m) M (M, d ) (M, d ) (M, d)
10 a n a n = n an n an a n n=1 a n+1 a n n + 1 n, 2 n n n. 3 n n n = n n + 1 = 1 a n+1 a n (M, d) A M d : R 2 R 2 R { x 1 y 1 x 2 = y 2, d(x, y) = x 1 y 1 + x 2 y x 2 y 2. x = (x 1, x 2 ) y = (y 1, y 2 ) d R 2 (R 2, d) D(x, r) r < 1 r = 1 r > 1 {c [a, b] (R 2, d) {c [a, b] (R 2, d) (M, d) A M (A) (M, d) K M K {F α α I K F α α I K α J F α J I J <. {x k k=1 x k k A {x 1, x 2,, {x x A A A (M, d)
11 M M X {x k k=1 X = { {x k k=1 xk R k N x k <. k 1 R x k < k 1 : X R {xk k=1 = x k. k 1 X (X, ) l (X, ) A, B, C, D X A = { {x k k=1 xk 1 k k N, B = { {x k k=1 xk 0 k, C = { {x k k=1 {xk k=1, D = { {x k k=1 x k = 1. k 1 A, B, C, D A, B R n d(a, B) = { x y 2 x A, y B A B A = {x d(a, B) d(x, B) d(a, B) = { d(x, B) x A d(x 1, B) d(x 2, B) x 1 x 2 2 x 1, x 2 R n B ε = { x R n d(x, B) < ε B ε B ε B ε = (B) A x A d(a, B) = d(x, B) A B x A y B d(a, B) = d(x, y) A B ε>0
12 M = { (x, y) R 2 x 2 + y A M A {x k k=1 R (R, ) x A k = {x k, x k+1, {x = A k k=1 {K j j=1 K j K j+1 (K j ) 0 j (K j ) = { d(x, y) x, y K j. K j (M, d) A M A F 1 F 2 A F 1 F 2 = A F 1 A F 2 A F 1 F 2 A (M, d) A B A B (M, d) A M A A A C x, y C x y x U y V U V C F k F k+1 F k F k k N F k k=1 F k n N R n (R n, 2 ) f : R 2 R x 0 y 0 j=1 f(x, y) f(x, y) y 0 x 0
13 f : R 2 R f f : R 2 R f : R 2 R (x, y) x U R A = { (x, y) R 2 x U f : R R U R f(u) f : A R m A R n B A f( (B) A) (f(b)). R n f : R n R f(x) = x f (R n, 2 ) f(x) f(y) C x y 2 C > 0 f : R n R m B R n f(b) f : R R K R f 1 (K) f : R R C R f 1 (C) K R n f : K R m f 1 : f(k) K K f : (0, ) R f(x) = x f : (0, 1) R f(x) = x 1 x f : (0, ) R f(x) = x
14 (M, d) (N, ρ) A M f : A N f A {x k k=1 {y k k=1 d(x k, y k ) 0 k ρ ( f(x k ), f(y k ) ) 0 k f A {x k k=1 { f(xk ) k=1 f : R R p > 0 f(x + p) = f(x) x R f f R a, b R f : (a, b) R f (a, b) f(x) f(x) x a + x b (a, b) f : [a, b] R α M > 0 α (0, 1] f(x 1 ) f(x 2 ) M x 1 x 2 α x 1, x 2 [a, b]. f [a, b] f : [0, ) R f(x) = x 1 2 (M, d) A M f, g : A R A f g fg A f g f : (a, b) R x 0 (a, b) m R f (x 0 ) ε > 0, δ > 0 f(x) f(x0 ) f (x 0 )(x x 0 ) ε x x0 x x 0 < δ. f, g : R R f 0 d dx f(x)g(x) α β β > 0 f : [ 1, 1] R { x α (x β ) x 0, f(x) = 0 x = 0.
15 f α > 0 f (0) α > 1 f α 1 + β f α > 1 + β f (0) α > 2 + β f α 2 + 2β f α > 2 + 2β f, g : [a, b] R g f 0 f fg x 0 (a, b) b a f(x)g(x)dx = g(x 0 ) b a f(x)dx. f : [a, b] R f b a f (x)dx = f(b) f(a) f : [a, b] R m f(x) M x [a, b] φ : [m, M] R φ f [a, b] A R f : A R f A I ε > 0 δ > 0 P = {x 0, x 1,, x n A δ {ξ 1,, ξ n ξ k [x k 1, x k ] k n f(ξ k )(x k+1 x k ) I < ε. k=1 n f(ξ k )(x k+1 x k ) f k=1 A f A
a P (A) f k(x) = A k g k " g k (x) = ( 1) k x ą k. $ & g k (x) = x k (0, 1) f k, f, g : [0, 8) Ñ R f k (x) ď g(x) k P N x P [0, 8) g(x)dx g(x)dx ă 8
M M, d A Ď M f k : A Ñ R A a P A f kx = A k xña k P N ta k u 8 k=1 f kx = f k x. xña kñ8 kñ8 xña M, d N, ρ A Ď M f k : A Ñ N tf k u 8 k=1 f : A Ñ N A f A 8ř " x ď k, g k x = 1 k x ą k. & g k x = % g k
More informationCOURSE Numerical integration of functions
COURSE 6 3. Numerical integration of functions The need: for evaluating definite integrals of functions that has no explicit antiderivatives or whose antiderivatives are not easy to obtain. Let f : [a,
More informationA = (a + 1) 2 = a 2 + 2a + 1
A = (a + 1) 2 = a 2 + 2a + 1 1 A = ( (a + b) + 1 ) 2 = (a + b) 2 + 2(a + b) + 1 = a 2 + 2ab + b 2 + 2a + 2b + 1 A = ( (a + b) + 1 ) 2 = (a + b) 2 + 2(a + b) + 1 = a 2 + 2ab + b 2 + 2a + 2b + 1 3 A = (
More informationMath 140A - Fall Final Exam
Math 140A - Fall 2014 - Final Exam Problem 1. Let {a n } n 1 be an increasing sequence of real numbers. (i) If {a n } has a bounded subsequence, show that {a n } is itself bounded. (ii) If {a n } has a
More informationConstructing Approximations to Functions
Constructing Approximations to Functions Given a function, f, if is often useful to it is often useful to approximate it by nicer functions. For example give a continuous function, f, it can be useful
More informationx y More precisely, this equation means that given any ε > 0, there exists some δ > 0 such that
Chapter 2 Limits and continuity 21 The definition of a it Definition 21 (ε-δ definition) Let f be a function and y R a fixed number Take x to be a point which approaches y without being equal to y If there
More informationMATH 217A HOMEWORK. P (A i A j ). First, the basis case. We make a union disjoint as follows: P (A B) = P (A) + P (A c B)
MATH 217A HOMEWOK EIN PEASE 1. (Chap. 1, Problem 2. (a Let (, Σ, P be a probability space and {A i, 1 i n} Σ, n 2. Prove that P A i n P (A i P (A i A j + P (A i A j A k... + ( 1 n 1 P A i n P (A i P (A
More informationWalker Ray Econ 204 Problem Set 2 Suggested Solutions July 22, 2017
Walker Ray Econ 204 Problem Set 2 Suggested s July 22, 2017 Problem 1. Show that any set in a metric space (X, d) can be written as the intersection of open sets. Take any subset A X and define C = x A
More informationMATH 104: INTRODUCTORY ANALYSIS SPRING 2008/09 PROBLEM SET 8 SOLUTIONS
MATH 04: INTRODUCTORY ANALYSIS SPRING 008/09 PROBLEM SET 8 SOLUTIONS. Let f : R R be continuous periodic with period, i.e. f(x + ) = f(x) for all x R. Prove the following: (a) f is bounded above below
More informationIntroduction to Decision Sciences Lecture 6
Introduction to Decision Sciences Lecture 6 Andrew Nobel September 21, 2017 Functions Functions Given: Sets A and B, possibly different Definition: A function f : A B is a rule that assigns every element
More informationMath 205b Homework 2 Solutions
Math 5b Homework Solutions January 5, 5 Problem (R-S, II.) () For the R case, we just expand the right hand side and use the symmetry of the inner product: ( x y x y ) = = ((x, x) (y, y) (x, y) (y, x)
More informationMS 2001: Test 1 B Solutions
MS 2001: Test 1 B Solutions Name: Student Number: Answer all questions. Marks may be lost if necessary work is not clearly shown. Remarks by me in italics and would not be required in a test - J.P. Question
More information5. Some theorems on continuous functions
5. Some theorems on continuous functions The results of section 3 were largely concerned with continuity of functions at a single point (usually called x 0 ). In this section, we present some consequences
More informationApplications of Differentiation
Applications of Differentiation Definitions. A function f has an absolute maximum (or global maximum) at c if for all x in the domain D of f, f(c) f(x). The number f(c) is called the maximum value of f
More informationEconomics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011
Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011 Section 2.6 (cont.) Properties of Real Functions Here we first study properties of functions from R to R, making use of the additional structure
More informationII. FOURIER TRANSFORM ON L 1 (R)
II. FOURIER TRANSFORM ON L 1 (R) In this chapter we will discuss the Fourier transform of Lebesgue integrable functions defined on R. To fix the notation, we denote L 1 (R) = {f : R C f(t) dt < }. The
More informationMath 117: Continuity of Functions
Math 117: Continuity of Functions John Douglas Moore November 21, 2008 We finally get to the topic of ɛ δ proofs, which in some sense is the goal of the course. It may appear somewhat laborious to use
More informationAnalysis/Calculus Review Day 2
Analysis/Calculus Review Day 2 AJ Friend ajfriend@stanford.edu Arvind Saibaba arvindks@stanford.edu Institute of Computational and Mathematical Engineering Stanford University September 20, 2011 Continuity
More informationThe reference [Ho17] refers to the course lecture notes by Ilkka Holopainen.
Department of Mathematics and Statistics Real Analysis I, Fall 207 Solutions to Exercise 6 (6 pages) riikka.schroderus at helsinki.fi Note. The course can be passed by an exam. The first possible exam
More informationMATH 173: Problem Set 5 Solutions
MATH 173: Problem Set 5 Solutions Problem 1. Let f L 1 and a. Te wole problem is a matter of cange of variables wit integrals. i Ff a ξ = e ix ξ f a xdx = e ix ξ fx adx = e ia+y ξ fydy = e ia ξ = e ia
More informationf(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
3 Definite Integrl 3.1 Introduction In school one comes cross the definition of the integrl of rel vlued function defined on closed nd bounded intervl [, b] between the limits nd b, i.e., f(x)dx s the
More information11.10a Taylor and Maclaurin Series
11.10a 1 11.10a Taylor and Maclaurin Series Let y = f(x) be a differentiable function at x = a. In first semester calculus we saw that (1) f(x) f(a)+f (a)(x a), for all x near a The right-hand side of
More informationSelçuk Demir WS 2017 Functional Analysis Homework Sheet
Selçuk Demir WS 2017 Functional Analysis Homework Sheet 1. Let M be a metric space. If A M is non-empty, we say that A is bounded iff diam(a) = sup{d(x, y) : x.y A} exists. Show that A is bounded iff there
More informationExam 3 review for Math 1190
Exam 3 review for Math 9 Be sure to be familiar with the following : Extreme Value Theorem Optimization The antiderivative u-substitution as a method for finding antiderivatives Reimann sums (e.g. L 6
More informationFunctions of Several Variables (Rudin)
Functions of Several Variables (Rudin) Definition: Let X and Y be finite-dimensional real vector spaces. Then L(X, Y ) denotes the set of all linear transformations from X to Y and L(X) denotes the set
More informationa n+2 a n+1 M n a 2 a 1. (2)
Rel Anlysis Fll 004 Tke Home Finl Key 1. Suppose tht f is uniformly continuous on set S R nd {x n } is Cuchy sequence in S. Prove tht {f(x n )} is Cuchy sequence. (f is not ssumed to be continuous outside
More informationOBJECTIVES Use the area under a graph to find total cost. Use rectangles to approximate the area under a graph.
4.1 The Area under a Graph OBJECTIVES Use the area under a graph to find total cost. Use rectangles to approximate the area under a graph. 4.1 The Area Under a Graph Riemann Sums (continued): In the following
More informationMATH 151 Engineering Mathematics I
MATH 151 Engineering Mathematics I Fall 2017, WEEK 14 JoungDong Kim Week 14 Section 5.4, 5.5, 6.1, Indefinite Integrals and the Net Change Theorem, The Substitution Rule, Areas Between Curves. Section
More informationParts Manual. EPIC II Critical Care Bed REF 2031
EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4
More informationCOURSE Numerical integration of functions (continuation) 3.3. The Romberg s iterative generation method
COURSE 7 3. Numerical integration of functions (continuation) 3.3. The Romberg s iterative generation method The presence of derivatives in the remainder difficulties in applicability to practical problems
More informationFunctions. Chapter Continuous Functions
Chapter 3 Functions 3.1 Continuous Functions A function f is determined by the domain of f: dom(f) R, the set on which f is defined, and the rule specifying the value f(x) of f at each x dom(f). If f is
More informationTHEOREMS, ETC., FOR MATH 515
THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every
More informationWORKSHEET FOR THE PUTNAM COMPETITION -REAL ANALYSIS- lim
WORKSHEET FOR THE PUTNAM COMPETITION -REAL ANALYSIS- INSTRUCTOR: CEZAR LUPU Problem Let < x < and x n+ = x n ( x n ), n =,, 3, Show that nx n = Putnam B3, 966 Question? Problem E 334 from the American
More informationChapter 5: Numerical Integration and Differentiation
Chapter 5: Numerical Integration and Differentiation PART I: Numerical Integration Newton-Cotes Integration Formulas The idea of Newton-Cotes formulas is to replace a complicated function or tabulated
More information1 FUNCTIONS _ 5 _ 1.0 RELATIONS
1 FUNCTIONS 1.0 RELATIONS Notes : (i) Four types of relations : one-to-one many-to-one one-to-many many-to-many. (ii) Three ways to represent relations : arrowed diagram set of ordered pairs graph. (iii)
More informationh(x) lim H(x) = lim Since h is nondecreasing then h(x) 0 for all x, and if h is discontinuous at a point x then H(x) > 0. Denote
Real Variables, Fall 4 Problem set 4 Solution suggestions Exercise. Let f be of bounded variation on [a, b]. Show that for each c (a, b), lim x c f(x) and lim x c f(x) exist. Prove that a monotone function
More informationConvergence of sequences and series
Convergence of sequences and series A sequence f is a map from N the positive integers to a set. We often write the map outputs as f n rather than f(n). Often we just list the outputs in order and leave
More information2.2 The Limit of a Function
2.2 The Limit of a Function Introductory Example: Consider the function f(x) = x is near 0. x f(x) x f(x) 1 3.7320508 1 4.236068 0.5 3.8708287 0.5 4.1213203 0.1 3.9748418 0.1 4.0248457 0.05 3.9874607 0.05
More informationBusiness and Life Calculus
Business and Life Calculus George Voutsadakis Mathematics and Computer Science Lake Superior State University LSSU Math 2 George Voutsadakis (LSSU) Calculus For Business and Life Sciences Fall 203 / 55
More informationExercises given in lecture on the day in parantheses.
A.Miller M22 Fall 23 Exercises given in lecture on the day in parantheses. The ɛ δ game. lim x a f(x) = L iff Hero has a winning strategy in the following game: Devil plays: ɛ > Hero plays: δ > Devil plays:
More informationFINAL REVIEW FOR MATH The limit. a n. This definition is useful is when evaluating the limits; for instance, to show
FINAL REVIEW FOR MATH 500 SHUANGLIN SHAO. The it Define a n = A: For any ε > 0, there exists N N such that for any n N, a n A < ε. This definition is useful is when evaluating the its; for instance, to
More informationImmerse Metric Space Homework
Immerse Metric Space Homework (Exercises -2). In R n, define d(x, y) = x y +... + x n y n. Show that d is a metric that induces the usual topology. Sketch the basis elements when n = 2. Solution: Steps
More informationMATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions.
MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions. Continuity Definition. Given a set E R, a function f : E R, and a point c E, the function f is continuous at c if
More informationWORKSHEET FOR THE PUTNAM COMPETITION -REAL ANALYSIS- lim
WORKSHEET FOR THE PUTNAM COMPETITION -REAL ANALYSIS- INSTRUCTOR: CEZAR LUPU Problem Let < x < and x n+ = x n ( x n ), n =,, 3, Show that nx n = Putnam B3, 966 Question? Problem E 334 from the American
More informationLogical Connectives and Quantifiers
Chapter 1 Logical Connectives and Quantifiers 1.1 Logical Connectives 1.2 Quantifiers 1.3 Techniques of Proof: I 1.4 Techniques of Proof: II Theorem 1. Let f be a continuous function. If 1 f(x)dx 0, then
More informationQuestion 1. Question 3. Question 4. Graduate Analysis I Exercise 4
Graduate Analysis I Exercise 4 Question 1 If f is easurable and λ is any real nuber, f + λ and λf are easurable. Proof. Since {f > a λ} is easurable, {f + λ > a} = {f > a λ} is easurable, then f + λ is
More informationMASTERS EXAMINATION IN MATHEMATICS
MASTERS EXAMINATION IN MATHEMATICS PURE MATHEMATICS OPTION FALL 2007 Full points can be obtained for correct answers to 8 questions. Each numbered question (which may have several parts) is worth the same
More informationDRAFT - Math 101 Lecture Note - Dr. Said Algarni
2 Limits 2.1 The Tangent Problems The word tangent is derived from the Latin word tangens, which means touching. A tangent line to a curve is a line that touches the curve and a secant line is a line that
More informationInternational Competition in Mathematics for Universtiy Students in Plovdiv, Bulgaria 1994
International Competition in Mathematics for Universtiy Students in Plovdiv, Bulgaria 1994 1 PROBLEMS AND SOLUTIONS First day July 29, 1994 Problem 1. 13 points a Let A be a n n, n 2, symmetric, invertible
More informationChapter 4. Solution of Non-linear Equation. Module No. 1. Newton s Method to Solve Transcendental Equation
Numerical Analysis by Dr. Anita Pal Assistant Professor Department of Mathematics National Institute of Technology Durgapur Durgapur-713209 email: anita.buie@gmail.com 1 . Chapter 4 Solution of Non-linear
More information3 FUNCTIONS. 3.1 Definition and Basic Properties. c Dr Oksana Shatalov, Fall
c Dr Oksana Shatalov, Fall 2014 1 3 FUNCTIONS 3.1 Definition and Basic Properties DEFINITION 1. Let A and B be nonempty sets. A function f from A to B is a rule that assigns to each element in the set
More informationTHE INVERSE FUNCTION THEOREM FOR LIPSCHITZ MAPS
THE INVERSE FUNCTION THEOREM FOR LIPSCHITZ MAPS RALPH HOWARD DEPARTMENT OF MATHEMATICS UNIVERSITY OF SOUTH CAROLINA COLUMBIA, S.C. 29208, USA HOWARD@MATH.SC.EDU Abstract. This is an edited version of a
More informationContinuity. Chapter 4
Chapter 4 Continuity Throughout this chapter D is a nonempty subset of the real numbers. We recall the definition of a function. Definition 4.1. A function from D into R, denoted f : D R, is a subset of
More informationWeek 5 Lectures 13-15
Week 5 Lectures 13-15 Lecture 13 Definition 29 Let Y be a subset X. A subset A Y is open in Y if there exists an open set U in X such that A = U Y. It is not difficult to show that the collection of all
More informationd(x n, x) d(x n, x nk ) + d(x nk, x) where we chose any fixed k > N
Problem 1. Let f : A R R have the property that for every x A, there exists ɛ > 0 such that f(t) > ɛ if t (x ɛ, x + ɛ) A. If the set A is compact, prove there exists c > 0 such that f(x) > c for all x
More informationMath 112 Rahman. Week Taylor Series Suppose the function f has the following power series:
Math Rahman Week 0.8-0.0 Taylor Series Suppose the function f has the following power series: fx) c 0 + c x a) + c x a) + c 3 x a) 3 + c n x a) n. ) Can we figure out what the coefficients are? Yes, yes
More informationAbstract Algebra: Chapters 16 and 17
Study polynomials, their factorization, and the construction of fields. Chapter 16 Polynomial Rings Notation Let R be a commutative ring. The ring of polynomials over R in the indeterminate x is the set
More information1 + x 2 d dx (sec 1 x) =
Page This exam has: 8 multiple choice questions worth 4 points each. hand graded questions worth 4 points each. Important: No graphing calculators! Any non-graphing, non-differentiating, non-integrating
More informationMany of you got these steps reversed or otherwise out of order.
Problem 1. Let (X, d X ) and (Y, d Y ) be metric spaces. Suppose that there is a bijection f : X Y such that for all x 1, x 2 X. 1 10 d X(x 1, x 2 ) d Y (f(x 1 ), f(x 2 )) 10d X (x 1, x 2 ) Show that if
More information2) Let X be a compact space. Prove that the space C(X) of continuous real-valued functions is a complete metric space.
University of Bergen General Functional Analysis Problems with solutions 6 ) Prove that is unique in any normed space. Solution of ) Let us suppose that there are 2 zeros and 2. Then = + 2 = 2 + = 2. 2)
More informationL bor y nnd Union One nnd Inseparable. LOW I'LL, MICHIGAN. WLDNHSDA Y. JULY ), I8T. liuwkll NATIdiNAI, liank
G k y $5 y / >/ k «««# ) /% < # «/» Y»««««?# «< >«>» y k»» «k F 5 8 Y Y F G k F >«y y
More informationAnalysis/Calculus Review Day 3
Analysis/Calculus Review Day 3 Arvind Saibaba arvindks@stanford.edu Institute of Computational and Mathematical Engineering Stanford University September 15, 2010 Big- Oh and Little- Oh Notation We write
More informationSec 4.1 Limits, Informally. When we calculated f (x), we first started with the difference quotient. f(x + h) f(x) h
1 Sec 4.1 Limits, Informally When we calculated f (x), we first started with the difference quotient f(x + h) f(x) h and made h small. In other words, f (x) is the number f(x+h) f(x) approaches as h gets
More informationReal Analysis Problems
Real Analysis Problems Cristian E. Gutiérrez September 14, 29 1 1 CONTINUITY 1 Continuity Problem 1.1 Let r n be the sequence of rational numbers and Prove that f(x) = 1. f is continuous on the irrationals.
More informationSOME QUESTIONS FOR MATH 766, SPRING Question 1. Let C([0, 1]) be the set of all continuous functions on [0, 1] endowed with the norm
SOME QUESTIONS FOR MATH 766, SPRING 2016 SHUANGLIN SHAO Question 1. Let C([0, 1]) be the set of all continuous functions on [0, 1] endowed with the norm f C = sup f(x). 0 x 1 Prove that C([0, 1]) is a
More informationAnalysis Part 1. 1 Chapter Q1(q) 1.2 Q1(r) Book: Measure and Integral by Wheeden and Zygmund
Analysis Part 1 www.mathtuition88.com Book: Measure and Integral by Wheeden and Zygmund 1 Chapter 1 1.1 Q1(q) Let {T x k } be a sequence of points of T E. Since E is compact, {x k } has a subsequence {x
More informationAnalysis Qualifying Exam
Analysis Qualifying Exam Spring 2017 Problem 1: Let f be differentiable on R. Suppose that there exists M > 0 such that f(k) M for each integer k, and f (x) M for all x R. Show that f is bounded, i.e.,
More informationReal Analysis Chapter 4 Solutions Jonathan Conder
2. Let x, y X and suppose that x y. Then {x} c is open in the cofinite topology and contains y but not x. The cofinite topology on X is therefore T 1. Since X is infinite it contains two distinct points
More informationPreliminary Exam 2016 Solutions to Morning Exam
Preliminary Exam 16 Solutions to Morning Exam Part I. Solve four of the following five problems. Problem 1. Find the volume of the ice cream cone defined by the inequalities x + y + z 1 and x + y z /3
More informationTangent Plane. Nobuyuki TOSE. October 02, Nobuyuki TOSE. Tangent Plane
October 02, 2017 The Equation of a plane Given a plane α passing through P 0 perpendicular to n( 0). For any point P on α, we have n PP 0 = 0 When P 0 has the coordinates (x 0, y 0, z 0 ), P 0 (x, y, z)
More informationMATH 409 Advanced Calculus I Lecture 25: Review for the final exam.
MATH 49 Advanced Calculus I Lecture 25: Review for the final exam. Topics for the final Part I: Axiomatic model of the real numbers Axioms of an ordered field Completeness axiom Archimedean principle Principle
More informationThe Mean Value Theorem and the Extended Mean Value Theorem
The Mean Value Theorem and the Extended Mean Value Theorem Willard Miller September 21, 2006 0.1 The MVT Recall the Extreme Value Theorem (EVT) from class: If the function f is defined and continuous on
More informationWalker Ray Econ 204 Problem Set 3 Suggested Solutions August 6, 2015
Problem 1. Take any mapping f from a metric space X into a metric space Y. Prove that f is continuous if and only if f(a) f(a). (Hint: use the closed set characterization of continuity). I make use of
More information2 (Bonus). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?
MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due 9/5). Prove that every countable set A is measurable and µ(a) = 0. 2 (Bonus). Let A consist of points (x, y) such that either x or y is
More informationSupplementary Notes for W. Rudin: Principles of Mathematical Analysis
Supplementary Notes for W. Rudin: Principles of Mathematical Analysis SIGURDUR HELGASON In 8.00B it is customary to cover Chapters 7 in Rudin s book. Experience shows that this requires careful planning
More informationContinuity. Chapter 4
Chapter 4 Continuity Throughout this chapter D is a nonempty subset of the real numbers. We recall the definition of a function. Definition 4.1. A function from D into R, denoted f : D R, is a subset of
More informationMa 221 Eigenvalues and Fourier Series
Ma Eigenvalues and Fourier Series Eigenvalue and Eigenfunction Examples Example Find the eigenvalues and eigenfunctions for y y 47 y y y5 Solution: The characteristic equation is r r 47 so r 44 447 6 Thus
More informationhttps://hal.inria.fr/hal /
https://hal.inria.fr/hal-00767404/ sk sk Encrypt sk (m ) = c Decrypt sk (c ) = m Encrypt sk (m ) = c Decrypt sk (c ) = m m, m c, c Encrypt Decrypt sk pk, sk Encrypt pk (m) = c Decrypt sk (c) = m pk sk
More informationAnalysis/Calculus Review Day 2
Analysis/Calculus Review Day 2 Arvind Saibaba arvindks@stanford.edu Institute of Computational and Mathematical Engineering Stanford University September 14, 2010 Limit Definition Let A R, f : A R and
More informationMAS331: Metric Spaces Problems on Chapter 1
MAS331: Metric Spaces Problems on Chapter 1 1. In R 3, find d 1 ((3, 1, 4), (2, 7, 1)), d 2 ((3, 1, 4), (2, 7, 1)) and d ((3, 1, 4), (2, 7, 1)). 2. In R 4, show that d 1 ((4, 4, 4, 6), (0, 0, 0, 0)) =
More informationdy = f( x) dx = F ( x)+c = f ( x) dy = f( x) dx
Antiderivatives and The Integral Antiderivatives Objective: Use indefinite integral notation for antiderivatives. Use basic integration rules to find antiderivatives. Another important question in calculus
More informationPOINT SET TOPOLOGY. Definition 2 A set with a topological structure is a topological space (X, O)
POINT SET TOPOLOGY Definition 1 A topological structure on a set X is a family O P(X) called open sets and satisfying (O 1 ) O is closed for arbitrary unions (O 2 ) O is closed for finite intersections.
More informationCompare the growth rate of functions
Compare the growth rate of functions We have two algorithms A 1 and A 2 for solving the same problem, with runtime functions T 1 (n) and T 2 (n), respectively. Which algorithm is more efficient? We compare
More informationFind the slope of the curve at the given point P and an equation of the tangent line at P. 1) y = x2 + 11x - 15, P(1, -3)
Final Exam Review AP Calculus AB Find the slope of the curve at the given point P and an equation of the tangent line at P. 1) y = x2 + 11x - 15, P(1, -3) Use the graph to evaluate the limit. 2) lim x
More informationLimits and continuity
CHAPTER 4 Limits and continuity Our first goal is to define and understand lim f(x) =L. Here f : D R where D R. We want the definition to mean roughly, as x gets close to a then f(x) iscloseto L. Perhaps
More informationThere are two basic kinds of random variables continuous and discrete.
Summary of Lectures 5 and 6 Random Variables The random variable is usually represented by an upper case letter, say X. A measured value of the random variable is denoted by the corresponding lower case
More informationA2 Assignment lambda Cover Sheet. Ready. Done BP. Question. Aa C4 Integration 1 1. C4 Integration 3
A Assignment lambda Cover Sheet Name: Question Done BP Ready Topic Comment Drill Mock Exam Aa C4 Integration sin x+ x+ c 4 Ab C4 Integration e x + c Ac C4 Integration ln x 5 + c Ba C Show root change of
More informationMATH 6337: Homework 8 Solutions
6.1. MATH 6337: Homework 8 Solutions (a) Let be a measurable subset of 2 such that for almost every x, {y : (x, y) } has -measure zero. Show that has measure zero and that for almost every y, {x : (x,
More information8 Further theory of function limits and continuity
8 Further theory of function limits and continuity 8.1 Algebra of limits and sandwich theorem for real-valued function limits The following results give versions of the algebra of limits and sandwich theorem
More informationPolynomial Approximations and Power Series
Polynomial Approximations and Power Series June 24, 206 Tangent Lines One of the first uses of the derivatives is the determination of the tangent as a linear approximation of a differentiable function
More informationEASY PUTNAM PROBLEMS
EASY PUTNAM PROBLEMS (Last updated: December 11, 2017) Remark. The problems in the Putnam Competition are usually very hard, but practically every session contains at least one problem very easy to solve
More informationLinearization and Extreme Values of Functions
Linearization and Extreme Values of Functions 3.10 Linearization and Differentials Linear or Tangent Line Approximations of function values Equation of tangent to y = f(x) at (a, f(a)): Tangent line approximation
More informationThe Substitution Rule
The Sbstittion Rle Kiryl Tsishchanka THEOREM The Fndamental Theorem Of Calcls, Part II): If f is continos on [a,b], then where F is any antiderivative of f, that is F f. b a ] b fx)dx Fb) Fa) Fx) a NOTATION:
More informationRoot Finding: Close Methods. Bisection and False Position Dr. Marco A. Arocha Aug, 2014
Root Finding: Close Methods Bisection and False Position Dr. Marco A. Arocha Aug, 2014 1 Roots Given function f(x), we seek x values for which f(x)=0 Solution x is the root of the equation or zero of the
More information2905 Queueing Theory and Simulation PART IV: SIMULATION
2905 Queueing Theory and Simulation PART IV: SIMULATION 22 Random Numbers A fundamental step in a simulation study is the generation of random numbers, where a random number represents the value of a random
More informationA Gentle Introduction to Gradient Boosting. Cheng Li College of Computer and Information Science Northeastern University
A Gentle Introduction to Gradient Boosting Cheng Li chengli@ccs.neu.edu College of Computer and Information Science Northeastern University Gradient Boosting a powerful machine learning algorithm it can
More information1 Assignment 1: Nonlinear dynamics (due September
Assignment : Nonlinear dynamics (due September 4, 28). Consider the ordinary differential equation du/dt = cos(u). Sketch the equilibria and indicate by arrows the increase or decrease of the solutions.
More informationSuggested solutions, TMA4125 Calculus 4N
Suggested solutions, TMA5 Calculus N Charles Curry May 9th 07. The graph of g(x) is displayed below. We have b n = = = 0 [ nπ = nπ ( x) nπx dx nπx dx cos nπx ] x nπx dx [ nπx x cos nπ ] ( cos nπ + cos
More informationProblem set 5, Real Analysis I, Spring, otherwise. (a) Verify that f is integrable. Solution: Compute since f is even, 1 x (log 1/ x ) 2 dx 1
Problem set 5, Real Analysis I, Spring, 25. (5) Consider the function on R defined by f(x) { x (log / x ) 2 if x /2, otherwise. (a) Verify that f is integrable. Solution: Compute since f is even, R f /2
More informationProblem Set 5: Solutions Math 201A: Fall 2016
Problem Set 5: s Math 21A: Fall 216 Problem 1. Define f : [1, ) [1, ) by f(x) = x + 1/x. Show that f(x) f(y) < x y for all x, y [1, ) with x y, but f has no fixed point. Why doesn t this example contradict
More information