Dirchlet s Function and Limit and Continuity Arguments

Similar documents
Dirchlet s Function and Limit and Continuity Arguments

Proofs Not Based On POMI

Convergence of Sequences

Proofs Not Based On POMI

The Limit Inferior and Limit Superior of a Sequence

Convergence of Sequences

Bolzano Weierstrass Theorems I

The Existence of the Riemann Integral

More On Exponential Functions, Inverse Functions and Derivative Consequences

Math 104: Homework 7 solutions

Consequences of Continuity

Geometric Series and the Ratio and Root Test

Uniform Convergence Examples

Derivatives and the Product Rule

Uniform Convergence Examples

Hölder s and Minkowski s Inequality

General Power Series

Matrix Solutions to Linear Systems of ODEs

Lower semicontinuous and Convex Functions

Differentiating Series of Functions

Geometric Series and the Ratio and Root Test

Project One: C Bump functions

Consequences of Continuity

In N we can do addition, but in order to do subtraction we need to extend N to the integers

Integration and Differentiation Limit Interchange Theorems

In N we can do addition, but in order to do subtraction we need to extend N to the integers

Extreme Values and Positive/ Negative Definite Matrix Conditions

Homework 3 Solutions, Math 55

Upper and Lower Bounds

Uniform Convergence and Series of Functions

Matrices and Vectors

M17 MAT25-21 HOMEWORK 6

MATH 301 INTRO TO ANALYSIS FALL 2016

The First Derivative and Second Derivative Test

Integration and Differentiation Limit Interchange Theorems

Homework 4, 5, 6 Solutions. > 0, and so a n 0 = n + 1 n = ( n+1 n)( n+1+ n) 1 if n is odd 1/n if n is even diverges.

Sin, Cos and All That

Convergence of Fourier Series

Fourier Sin and Cos Series and Least Squares Convergence

Proof worksheet solutions

Lecture 6: The Pigeonhole Principle and Probability Spaces

Pigeonhole Principle and Ramsey Theory

Lecture 4: Completion of a Metric Space

2 = = 0 Thus, the number which is largest in magnitude is equal to the number which is smallest in magnitude.

MATH 117 LECTURE NOTES

Math 320: Real Analysis MWF 1pm, Campion Hall 302 Homework 8 Solutions Please write neatly, and in complete sentences when possible.

Thus f is continuous at x 0. Matthew Straughn Math 402 Homework 6

Math 104: Homework 1 solutions

Constrained Optimization in Two Variables

Research Methods in Mathematics Homework 4 solutions

n n P} is a bounded subset Proof. Let A be a nonempty subset of Z, bounded above. Define the set

Real Analysis - Notes and After Notes Fall 2008

Antiderivatives! Outline. James K. Peterson. January 28, Antiderivatives. Simple Fractional Power Antiderivatives

Solutions to Homework Assignment 2

Midterm Review Math 311, Spring 2016

Antiderivatives! James K. Peterson. January 28, Department of Biological Sciences and Department of Mathematical Sciences Clemson University

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories

On approximation of real, complex, and p-adic numbers by algebraic numbers of bounded degree. by K. I. Tsishchanka

Constrained Optimization in Two Variables

Predator - Prey Model Trajectories are periodic

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories

MATH 140B - HW 5 SOLUTIONS

Notes: Pythagorean Triples

10.7 Polynomial and Rational Inequalities

Math 535: Topology Homework 1. Mueen Nawaz

1 Continued Fractions

Sin, Cos and All That

Derivatives in 2D. Outline. James K. Peterson. November 9, Derivatives in 2D! Chain Rule

MA2108S Tutorial Solution

means is a subset of. So we say A B for sets A and B if x A we have x B holds. BY CONTRAST, a S means that a is a member of S.

Predator - Prey Model Trajectories are periodic

Week 2: Sequences and Series

Numerical Sequences and Series

Mathematical Induction Again

Solutions for Homework Assignment 2

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

One-to-one functions and onto functions

f ( c ) = lim{x->c} (f(x)-f(c))/(x-c) = lim{x->c} (1/x - 1/c)/(x-c) = lim {x->c} ( (c - x)/( c x)) / (x-c) = lim {x->c} -1/( c x) = - 1 / x 2

This Week. Professor Christopher Hoffman Math 124

Mathematical Induction Again

THE REAL NUMBERS Chapter #4

Math 117: Infinite Sequences

2.1 Convergence of Sequences

The SIR Disease Model Trajectories and MatLab

ter. on Can we get a still better result? Yes, by making the rectangles still smaller. As we make the rectangles smaller and smaller, the

Solutions Final Exam May. 14, 2014

Counting Methods. CSE 191, Class Note 05: Counting Methods Computer Sci & Eng Dept SUNY Buffalo

3 Finite continued fractions

MATH 101, FALL 2018: SUPPLEMENTARY NOTES ON THE REAL LINE

Limits and Continuity

INTRODUCTION TO REAL ANALYSIS II MATH 4332 BLECHER NOTES

Math 320-2: Midterm 2 Practice Solutions Northwestern University, Winter 2015

Math 61CM - Solutions to homework 6

Main topics for the First Midterm Exam

Basics of Proofs. 1 The Basics. 2 Proof Strategies. 2.1 Understand What s Going On

Homework 1 Solutions

Measure Theory and Lebesgue Integration. Joshua H. Lifton

MATH10040: Numbers and Functions Homework 1: Solutions

Limit of a Function Philippe B. Laval

Properties of Rational and Irrational Numbers

Transcription:

Dirchlet s Function and Limit and Continuity Arguments James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 2, 2018 Outline Dirichlet s Function Limit Examples

Dirichlet s Function is defined like this: f : [0, 1] R by 0, x = 0 1 f (x) = q, x = p q, (p, q) = 1, p, q N 0, x IR So f (9/12) = 1/4 as 9/12 = 3/4 when common terms are removed. This is a very strange function and we can prove f is continuous at each x IR [0, 1] and is not continuous at each x Q [01, ]. Proof (Case x0 IR): We will show f is continuous at these x values. Choose ɛ > 0 arbitrarily. Consider { 0 0, x IR [0, 1] f (x) f (x0) = 1/q 0, x = p/q, (p, q) = 1 Proof Let Sn = {x : 0 < x < 1, x = p/q, (p, q) = 1 with 1/q 1/n} = {0 < p/q < 1, (p, q) = 1, with n q} How many elements are in Sn? Consider that table below: 1/1 {1/2 1/3......... 1/n} 2/1 2/2 {2/3 2/4...... 2/n} 3/1 3/2 3/3 {3/4...... 3/n}.... j/1 j/2 j/j {j/(j + 1)...... j/n}. (n 1)/n (n 1)/2 (n 1)/(n 1) {(n 1)/n} n/1 n/2 (n 1)/n n/n The fractions in the braces in red are the ones in (0, 1) although they are not necessarily in lowest terms. The first row has n 1 elements, the second n 2 and so one until we get to the n 1 row which just has one red element. So the size of Sn = Sn n 1 j=1 j = (n 1)n/2.

Proof The important thing is that Sn contains only a finite number of fractions in lowest terms. Now choose N > 1/ɛ. Then SN N(N 1)/2. Label the elements of SN as follows: SN = {r1,..., rp} where p N(N 1)/2. Each fraction ri = pi/qi in lowest terms with qi N. One of these fractions is closest to x0. Call this one rmin = pmin/qmin and choose δ = (1/2) rmin x0. Note if r = p/q, (p, q) = 1 is any rational number in (x0 δ, x0 + δ), r < rmin and so can t be in SN!! (See the picture in the handwritten notes). Since r SN, the denominator of r = p/q must satisfy N < q; i.e. 1/q < 1/N < ɛ. Combining, we see we have found a δ > 0 so that { 0 < ɛ, x IR 0 < x x0 < δ = f (x) f (x0) = 1/q 0 < 1/N < ɛ, x Q Proof This shows f is continuous at any irrational number x0 in [0, 1]. (Case x0 Q [0, 1]): Then x0 = p0/q0, (p0, q0) = 1. Consider f (x) f (x0) = = { 0 1/q0, x IR [0, 1] 1/q 1/q0, x = p/q, (p, q) = 1 { 0 1/q0, x IR [0, 1] q0 q q, x = p/q, (p, q) = 1 q0 Let ɛ0 = (1/2)(1/q0). We only have to look at the top part. The top says f (x) f (x0) = 1/q0 > (1/2)(1/q0) = ɛ0. Thus f (x) = 1/q0 > ɛ0 for all x IR. Hence, no matter how small δ > 0 we choose, we can always find irrational numbers xδ in ˆBδ(x0) with f (xδ) f (x0) = 1/q0 > ɛ2. This shows f can not be continuous at any x0 in Q. This is a very interesting function! Again, these ideas of continuity and limit are pointwise concepts!!

Example Let f (x) = x + 1, x > 1 3, x = 1 3x, x < 1 We can study this function s behavior a number of ways. (Case: ɛ δ approach): Let s look at the point x = 1 first. Maybe the limiting value here is 2. We check x + 1 2, x > 1 x 1, x > 1 f (x) 2 = 3 2, x = 1 = 1, x = 1 3x 2, x < 1 3(x 1)) 5, x < 1 where we are writing all the terms we have in terms of x 1 factors. Example Now by the backwards triangle inequality, 3(x 1) 5 5 3 x 1. So f (x) 2 = x 1, x > 1 f (x) 2 = 1, x = 1 f (x) 2 5 3 x 1, x < 1 If we make the top term small by restricting our attention to x in (1 δ, 1) (1, 1 + δ), then we have { f (x) 2 < δ, x (1, 1 + δ) f (x) 2 5 3δ, x (1 δ, 1) where we have dropped what happens at x = 1 itself as it is not important for the existence of the limit.

Example So no matter what ɛ we pick, for any 0 < δ < ɛ, we have { f (x) 2 < ɛ, x (1, 1 + δ) f (x) 2 5 3ɛ, x (1 δ, 1) and although the top piece is small the bottom piece is not! So the limx 1 f (x) can not be 2. Maybe the limiting value here is 3. We check x + 1 + 3, x > 1 (x 1) + 5, x > 1 f (x) ( 3) = 3 + 3, x = 1 = 6, x = 1 3x + 3, x < 1 3(x 1), x < 1 where again we are writing all the terms we have in terms of x 1 factors. Example Now by the backwards triangle inequality, (x 1) 5 5 x 1. So f (x) ( 3) 5 x 1, x > 1 f (x) ( 3) = 6, x = 1 f (x) ( 3) = 3 x 1, x < 1 If we make the bottom term small by restricting our attention to x in (1 δ, 1) (1, 1 + δ), then we have { f (x) ( 3) 5 δ, x (1, 1 + δ) f (x) ( 3) 3δ, x (1 δ, 1) where we have dropped what happens at x = 1 itself as it is not important for the existence of the limit.

Example So no matter what ɛ we pick, for any 0 < δ < ɛ/3, we have { f (x) + 3 5 ɛ/3, x (1, 1 + δ) f (x) + 3 < ɛ, x (1 δ, 1) and although the bottom piece is small the top piece is not! So the limx 1 f (x) can not be 3. Maybe the limiting value here is a 2, 3. We check x + 1 a, x > 1 f (x) a = 3 a, x = 1 3x a, x < 1 where we are writing all the terms we have in terms of x 1 factors. Example In terms of x 1 factors, this becomes x 1 + 2 a, x > 1 f (x) a = 3 a, x = 1 3(x 1)) (3 + a), x < 1 Now by the backwards triangle inequality, (x 1) + (2 a) = (x 1) (a 2) 2 a x 1 and 3(x 1) (3 + a) 3 + a 3 x 1. Now the distance from a to 2 is a 2 which we call d1. The distance from a to 3 is a ( 3) = a + 3 which we call d2. Using these estimates, we find f (x) a d1 x 1, x > 1 f (x) a = 3 a, x = 1 f (x) a d2 3 x 1, x < 1

Example If we make the top term small by restricting our attention to x in (1 δ, 1) (1, 1 + δ), then we have { f (x) a d1 δ, x (1, 1 + δ) f (x) a d2 3δ, x (1 δ, 1) where yet again we have dropped what happens at x = 1 itself as it is not important for the existence of the limit. If we pick any positive ɛ < (1/2) min{d1, d2/3} and for any δ > 0, we have { f (x) a d1 d1/2 = d1/2 > ɛ, x (1, 1 + δ) f (x) a d2 3d2/6 = d2/2 > ɛ, x (1 δ, 1) and both the top piece and the bottom piece are never small! So the limx 1 f (x) can not be a 2, 3 either. Thus, limx 1 f (x) does not exist and f can not be continuous at 1. Example The method just done is tedious! Let s try using the lim x 1 f (x) and limx 1 f (x) approach instead. Any sequence (xn) with xn 1 1 from the left of 1 uses the bottom part of the definition of f. It is easy to see 3xn 3 here so 3 is a cluster point of f at 1. Any sequence (xn) with xn 1 1 from the right of 1 uses the top part of the definition of f. It is easy to see xn + 1 2 here so 2 is a cluster point of f at 1. Any sequence (xn) with xn 1 1 containing an infinite number of points both to the left of 1 and to the right of 1, has a subsequence (x 1 n ) converging to 3 and a subsequence (x 2 n ) converging to 2 as

Example f (xk) = { x 2 k + 1, xk 2 (xn), x k 2 > 1 3xk 1, x k 1 (xn), x k 1 < 1 The top converges to 2 and the bottom converges to 3 and hence this type of subsequence (xn) can not converge. We conclude S(1) = { 3, 2} and so lim xn 1 f (x) = 3 and limxn 1 f (x) = 2. Since these are not equal, we know limx 1 f (x) does not exist. Thus, f is not continuous at 1. It should be easy for you to see that the existence of the limit to the left of 1 and to the right of 1 is straightforward to establish. For example, at the point x = 4, f (x) = x + 1 and f (4) = 5. We have f (x) 5 = x + 1 5 = x 4. Given ɛ > 0, if we choose δ = ɛ, we have x 4 < δ f (x) 5 = x 4 < ɛ. This shows f is continuous at x = 4. Similar arguments work for all points x 1. So this f is continuous at all x except 1. Another approach is to use right and left sided limits and continuity. Definition Let f be locally defined near p. We say the right hand limit of f as x approaches p exists and equals b if ɛ > 0 δ > 0 p < x < p + δ f (x) b < ɛ We denote the value b by the symbol limx p + f (x) = b. We say the left hand limit of f as x approaches p exists and equals a if ɛ > 0 δ > 0 p δ < x < p f (x) a < ɛ We denote the value a by the symbol lim x p f (x) = a.

Theorem Let A be a real number. Then we have lim f (x) = A (xn), xn p, xn p, lim f (xn) = A. x p n Proof ( ): We assume limx p f (x) = A. Pick any (xn), xn p, xn p. Then for an arbitrary ɛ > 0, we know there is a positive δ so that x ˆBδ(p) f (x) A < ɛ. Since xn p, there is a N so that n > N xn p < δ. Combining, we see n > N xn p < δ f (xn) A < ɛ. Thus, f (xn) A too. ( ): We assume (xn), xn p, xn p, limn f (xn) = A. Let s do this by contradiction. We know f is locally defined in some ˆBr (p). Assume limx p f (x) does not equal A. Pick a sequence {1/N, 1/(N + 1),...} so that (p 1/n, p + 1/n) Br (p) for all n > N. Proof Then we know there is a positive ɛ0 so that for each n > N, there is an xn p in (p 1/n, p + 1/n) with f (xn) A > ɛ0. This defines a sequence (xn) which converges to p and each xn p. Thus, by assumption, we know f (xn) A which contradicts the construction we just did. So our assumption is wrong and limx p f (x) = A. Theorem Let A be a real number. Then { } lim f (x) = A lim f (x) = lim f (x) = A x p x p + x p

Proof ( ) We assume limx p f (x) = A. Let (xn) be any sequence with xn p that converges to p from below p. We then know by the previous theorem ( limx p f (x) = A (xn), xn p, xn p, limn f (xn) = A) that limn f (xn) = A also. Since this is true for all such sequences, we apply the previous theorem again ( limx p f (x) = A (xn), xn p, xn p, limn f (xn) = A) to the left hand limit of f at p to see lim x p f (x) = A. A similar argument shows limx p + f (x) = A. ( ) We assume limx p + f (x) = lim x p f (x) = A. We know f is locally defined in some ˆBr (p). Assume limx p f (x) does not equal A. Again pick a sequence {1/N, 1/(N + 1),...} so that (p 1/n, p + 1/n) Br (p) for all n > N. Then we know there is a positive ɛ0 so that for each n > N, there is an xn p in (p 1/n, p + 1/n) with f (xn) A > ɛ0. Proof This defines a sequence (xn) which converges to p and each xn p. This sequence contains infinitely many to the left of p and/ or to the right xnk of p. Hence, we can find a subsequence ) with converges to p from (xnk either below or above. For this subsequence, we then know f (xnk ) A as both the right hand and left hand limits exist and equal A. But f ) A > ɛ0 for all k. This is not possible, so our assumption was (xnk wrong and limx p f (x) = A.

Definition Let f be locally defined at p. We say f is continuous from the right at p if limx p + f (x) = f (p). We say f is continuous from the left at p if lim x p f (x) = f (p). Example Let s look at our a new version of our old friend: x + 1, x > 1 f (x) = 2, x = 1 3x x < 1 It is easy to see lim x 1 f (x) = 3 f (1) = 2 and limx 1 + f (x) = 2 = f (1). So f is right continuous at 1 but f is not left continuous at 1. Homework 15 15.1 This is the tedious way. f (x) = 3x + 1, x > 2 4, x = 2 2x 5 x < 2 Do a proper ɛ δ argument to show f is not continous at 2 but it is continuous at any other x. Your estimates here are done in terms of x 2 factors. 15.2 This is the easier way. f (x) = 3x + 1, x > 2 4, x = 2 2x 5 x < 2 Use the limit inferior and limit superior ideas to show f is not continous at 2 but it is continuous at any other x.

Homework 15 15.3 This is even easier. f (x) = 3x + 1, x > 2 4, x = 2 2x 5 x < 2 Use the right and left limit ideas to show f is not continous at 2 but it is continuous at any other x. Determine if f is right or left continuous at 2.