1230, notes 16. Karl Theodor Wilhelm Weierstrass, November 18, / 18
|
|
- Adele Manning
- 5 years ago
- Views:
Transcription
1 1230, notes 16 Karl Theodor Wilhelm Weierstrass, November 18, / 18
2 1230, notes 16 Karl Theodor Wilhelm Weierstrass, Left university without a degree (ignored what he was supposed to be studying law, economics, finance in favor of you can guess what November 18, / 18
3 1230, notes 16 Karl Theodor Wilhelm Weierstrass, Left university without a degree (ignored what he was supposed to be studying law, economics, finance in favor of you can guess what Became a high school teacher (taught math, physics, botany, history, German, and gymnastics) November 18, / 18
4 1230, notes 16 Karl Theodor Wilhelm Weierstrass, Left university without a degree (ignored what he was supposed to be studying law, economics, finance in favor of you can guess what Became a high school teacher (taught math, physics, botany, history, German, and gymnastics) Ill much of the time after 1850, yet published papers which led to a Professorship in Berlin November 18, / 18
5 1230, notes 16 Karl Theodor Wilhelm Weierstrass, Left university without a degree (ignored what he was supposed to be studying law, economics, finance in favor of you can guess what Became a high school teacher (taught math, physics, botany, history, German, and gymnastics) Ill much of the time after 1850, yet published papers which led to a Professorship in Berlin Students included Cantor, Schwarz (of Cauchy-Schwarz), Sofia Kovalevskaya, many others of note (41 students, mathematical descendants ) November 18, / 18
6 1230, notes 16 Karl Theodor Wilhelm Weierstrass, Left university without a degree (ignored what he was supposed to be studying law, economics, finance in favor of you can guess what Became a high school teacher (taught math, physics, botany, history, German, and gymnastics) Ill much of the time after 1850, yet published papers which led to a Professorship in Berlin Students included Cantor, Schwarz (of Cauchy-Schwarz), Sofia Kovalevskaya, many others of note (41 students, mathematical descendants ) Weierstrass s mathematical lineage goes back to Gauss, and before that Jacob Bernoulli, and before that Ulrich Zasius, , who according to the Mathematical Genealogy Project had two students and mathematical descendents. November 18, / 18
7 Main mathematical accomplishments: Made calculus rigorous Bolzano Weierstrass theorem, intermediate value theorem (though prior proof by Bolzano), ε δ definition of continuity, November 18, / 18
8 Main mathematical accomplishments: Made calculus rigorous Bolzano Weierstrass theorem, intermediate value theorem (though prior proof by Bolzano), ε δ definition of continuity, Weierstrass M - test for convergence of a series of functions November 18, / 18
9 Main mathematical accomplishments: Made calculus rigorous Bolzano Weierstrass theorem, intermediate value theorem (though prior proof by Bolzano), ε δ definition of continuity, Weierstrass M - test for convergence of a series of functions Weierstrass approximation theorem (continuous functions can be approximated by polynomials) November 18, / 18
10 Main mathematical accomplishments: Made calculus rigorous Bolzano Weierstrass theorem, intermediate value theorem (though prior proof by Bolzano), ε δ definition of continuity, Weierstrass M - test for convergence of a series of functions Weierstrass approximation theorem (continuous functions can be approximated by polynomials) Weierstrass function see below November 18, / 18
11 Main mathematical accomplishments: Made calculus rigorous Bolzano Weierstrass theorem, intermediate value theorem (though prior proof by Bolzano), ε δ definition of continuity, Weierstrass M - test for convergence of a series of functions Weierstrass approximation theorem (continuous functions can be approximated by polynomials) Weierstrass function see below at least 7 other important theorems November 18, / 18
12 A continuous but nowhere differentiable function. November 18, / 18
13 A continuous but nowhere differentiable function. Most believed this was not possible. (Easy if continuity is dropped.?) November 18, / 18
14 A continuous but nowhere differentiable function. Most believed this was not possible. (Easy if continuity is dropped.?) Bolzano 1830 Constructs a sequence of piecewise linear functions which converge to a nowhere differentiable function not published until 1922 November 18, / 18
15 A continuous but nowhere differentiable function. Most believed this was not possible. (Easy if continuity is dropped.?) Bolzano 1830 Constructs a sequence of piecewise linear functions which converge to a nowhere differentiable function not published until 1922 Cellérier, not published until 1890 C (x) = n=1 1 ( ) a k sin a k x, a > 1000 November 18, / 18
16 A continuous but nowhere differentiable function. Most believed this was not possible. (Easy if continuity is dropped.?) Bolzano 1830 Constructs a sequence of piecewise linear functions which converge to a nowhere differentiable function not published until 1922 Cellérier, not published until 1890 C (x) = n=1 1 ( ) a k sin a k x, a > 1000 Riemann R (x) = n=1 1 k 2 sin ( k 2 x ) But it can be shown that this is differentiable at π 2p+1 2q+1, p, q integers, and only at these points. November 18, / 18
17 Weierstrass First published example. W (x) = a k cos b k πx k=0 0 < a < 1 b an odd integer > 1 ab > 1 + 3π 2 November 18, / 18
18 Weierstrass First published example. W (x) = a k cos b k πx k=0 0 < a < 1 b an odd integer > 1 ab > 1 + 3π 2 Peano a space filling curve which is also nowhere differentiable. Motivated by Cantor s results that the cardinality of [0, 1] is the same as the cardinality of [0, 1] [0, 1] (unit square). November 18, / 18
19 (This thesis has 18 examples, from up to 2002, including several well known fractals.) November 18, / 18
20 Tagaka T (x) = = k=0 k=0 1 ( ) 2 k dist 2 k x, Z 1 2 k inf m 0 ( ) 2 k x, m = ( inf m 0 x, m ) 2 k=0 k November 18, / 18
21 Koch snowflake (famous fractal) November 18, / 18
22 van der Waerden (1930). V (x) = Very similar to Tagaka. k=0 1 ( ) 10 k dist 10 k x, Z November 18, / 18
23 van der Waerden (1930). V (x) = Very similar to Tagaka. k=0 1 ( ) 10 k dist 10 k x, Z But this one is easier to understand. It depends on the decimal expansion of x. November 18, / 18
24 Let φ k (x) = 1 ( ) 10 k dist 10 k x, Z = inf x m. m 0 10 k November 18, / 18
25 Let φ k (x) = 1 ( ) 10 k dist 10 k x, Z = inf x m. m 0 10 k We will pick a particular k and x [0, 1] and evaluate this function. November 18, / 18
26 Let φ k (x) = 1 ( ) 10 k dist 10 k x, Z = inf x m. m 0 10 k We will pick a particular k and x [0, 1] and evaluate this function. Let x =.326, k = 2. November 18, / 18
27 Let φ k (x) = 1 ( ) 10 k dist 10 k x, Z = inf x m. m 0 10 k We will pick a particular k and x [0, 1] and evaluate this function. Let x =.326, k = 2. Then φ k (x) is the minimum of the numbers x m 100 where m = 0, 1, 2, 3, 4, 5,..., 100. (It is obvious that the nearest of these numbers to x cannot be bigger than ) November 18, / 18
28 Let φ k (x) = 1 ( ) 10 k dist 10 k x, Z = inf x m. m 0 10 k We will pick a particular k and x [0, 1] and evaluate this function. Let x =.326, k = 2. Then φ k (x) is the minimum of the numbers x m 100 where m = 0, 1, 2, 3, 4, 5,..., 100. (It is obvious that the nearest of these numbers to x cannot be bigger than ) Then m =? November 18, / 18
29 Let φ k (x) = 1 ( ) 10 k dist 10 k x, Z = inf x m. m 0 10 k We will pick a particular k and x [0, 1] and evaluate this function. Let x =.326, k = 2. Then φ k (x) is the minimum of the numbers x m 100 where m = 0, 1, 2, 3, 4, 5,..., 100. (It is obvious that the nearest of these numbers to x cannot be bigger than ) Then m =? φ 2 (.326) = =.004. November 18, / 18
30 Next case: x =.326, k = 1. November 18, / 18
31 Next case: x =.326, k = 1. Find the minimum of the numbers x m 10. November 18, / 18
32 Next case: x =.326, k = 1. Find the minimum of the numbers x m 10. We choose between 1 10, 2 10, 3 10, 4 10,..., 1. Then m =? November 18, / 18
33 Next case: x =.326, k = 1. Find the minimum of the numbers x m 10. We choose between 1 10, 2 10, 3 10, 4 10,..., 1. Then m =? φ 1 (.326) = =.026. November 18, / 18
34 Case x =.326, k = 3. Minimize.326 m m =? November 18, / 18
35 Case x =.326, k = 3. Minimize.326 m m =? φ 3 (.326) = = 0. November 18, / 18
36 Case x =.326, k = 3. Minimize.326 m m =? φ 3 (.326) = = 0. To examine V we consider difference quotients: V (x + h) V (x). h November 18, / 18
37 Let h n = 1 10 n and consider V (x + h n ) V (x) lim. n h n November 18, / 18
38 Let h n = 1 10 n and consider V (x + h n ) V (x) lim. n h n We will show that this limit does not exist if x =.326. November 18, / 18
39 Let h n = 1 10 n and consider V (x + h n ) V (x) lim. n h n We will show that this limit does not exist if x =.326. Suppose n = 2 and evaluate φ k(x ) φ k (x) for k = 1, 2, 3. November 18, / 18
40 We have already calculated φ 1 (x) =.026 φ 2 (x) =.004 φ 3 (x) = 0. November 18, / 18
41 We have already calculated φ 1 (x) =.026 φ 2 (x) =.004 φ 3 (x) = 0. ( We next calculate φ 1 x ). ( φ 1 x + 1 ) = inf.336 m = 100 m =.036. November 18, / 18
42 We have already calculated φ 1 (x) =.026 φ 2 (x) =.004 φ 3 (x) = 0. ( We next calculate φ 1 x ). ( φ 1 x + 1 ) = inf.336 m = 100 m =.036. Then ( φ 1 x ) φ1 (x) = = November 18, / 18
43 Also, ( φ ) = inf.336 m = = m 100 = φ 2 (.326) November 18, / 18
44 Also, ( φ ) = inf.336 m = = m 100 Hence, if x =.326 then = φ 2 (.326) ( φ 2 x ) φ2 (x) = November 18, / 18
45 Also, ( φ ) = inf.336 m = = m 100 Hence, if x =.326 then = φ 2 (.326) ( φ 2 x ) φ2 (x) = k = 3 : ( φ 3 x ) φ3 (x) = 0, because both terms in the numerator are zero. November 18, / 18
46 Similarly, if x =.326 and k > 3, ( φ k x ) φ3 (x) = November 18, / 18
47 Similarly, if x =.326 and k > 3, Hence., ( φ k x ) φ3 (x) = V (x + h 2 ) V (x) h 2 = φ 1 (x + h 2 ) φ 1 (x) h 2 = 1. November 18, / 18
48 Similarly, if x =.326 and k > 3, Hence., ( φ k x ) φ3 (x) = V (x + h 2 ) V (x) h 2 = φ 1 (x + h 2 ) φ 1 (x) h 2 = 1. So for a given n, = V (x + h n ) V (h n ) φ = k (x ± h n ) φ k (x) h n ±h k=1 n n 1 n 1 φ k (x ± h n ) φ k (x) = ±h k=1 n k=1 ±1 November 18, / 18
49 Similarly, if x =.326 and k > 3, Hence., ( φ k x ) φ3 (x) = V (x + h 2 ) V (x) h 2 = φ 1 (x + h 2 ) φ 1 (x) h 2 = 1. So for a given n, = V (x + h n ) V (h n ) φ = k (x ± h n ) φ k (x) h n ±h k=1 n n 1 n 1 φ k (x ± h n ) φ k (x) = ±h k=1 n k=1 and this is odd if n is even and it is even if n is odd. Hence V (x) does not exist. ±1 November 18, / 18
50 The Cantor Function November 18, / 18
51 Define f : [0.1] [0, 1] as follows: The Cantor Function November 18, / 18
52 Define f : [0.1] [0, 1] as follows: The Cantor Function If x [0, 1], express x as a tertiary decimal. November 18, / 18
53 The Cantor Function Define f : [0.1] [0, 1] as follows: If x [0, 1], express x as a tertiary decimal. If f has a 1 in its expansion, replace everything after the first 1 by 0. November 18, / 18
54 The Cantor Function Define f : [0.1] [0, 1] as follows: If x [0, 1], express x as a tertiary decimal. If f has a 1 in its expansion, replace everything after the first 1 by 0. Replace all remaining 2 s by 1 s November 18, / 18
55 The Cantor Function Define f : [0.1] [0, 1] as follows: If x [0, 1], express x as a tertiary decimal. If f has a 1 in its expansion, replace everything after the first 1 by 0. Replace all remaining 2 s by 1 s The result is the binary decimal for f (x). November 18, / 18
56 The Cantor Function Define f : [0.1] [0, 1] as follows: If x [0, 1], express x as a tertiary decimal. If f has a 1 in its expansion, replace everything after the first 1 by 0. Replace all remaining 2 s by 1 s The result is the binary decimal for f (x). November 18, / 18
57 For example, if x ( 1 3, 2 ) 3, then f (x) = 1 2. If x ( 1 9, 2 9) then f (x) = 1 4. If x ( 7 9, 8 ) 9 then f (x) = 3 4, etc. November 18, / 18
58 For example, if x ( 1 3, 2 ) 3, then f (x) = 1 2. If x ( 1 9, 2 9) then f (x) = 1 4. If x ( 7 9, 8 ) 9 then f (x) = 3 4, etc. Therefore f (x) is constant on all the removed intervals in the Cantor set. It is non-decreasing on [0, 1]. November 18, / 18
59 The derivative f (x) is zero on all the removed intervals, and so on a set of measure 1. f (0) = 0, f (1) = 1. November 18, / 18
60 The derivative f (x) is zero on all the removed intervals, and so on a set of measure 1. f (0) = 0, f (1) = 1. It turns out that f is continuous. November 18, / 18
61 The derivative f (x) is zero on all the removed intervals, and so on a set of measure 1. f (0) = 0, f (1) = 1. It turns out that f is continuous. 1 0 f (x) dx = 0 f (1) f (0) = 1. November 18, / 18
62 The derivative f (x) is zero on all the removed intervals, and so on a set of measure 1. f (0) = 0, f (1) = 1. It turns out that f is continuous. 1 0 f (x) dx = 0 f (1) f (0) = 1. The fundamental theorem of calculus does not apply to this function. November 18, / 18
INTRODUCTION TO REAL ANALYSIS
INTRODUCTION TO REAL ANALYSIS Michael J. Schramm LeMoyne College PRENTICE HALL Upper Saddle River, New Jersey 07458 Contents Preface x PART ONE: PRELIMINARIES Chapter 1: Building Proofs 2 1.1 A Quest for
More informationA CONTINUOUS AND NOWHERE DIFFERENTIABLE FUNCTION, FOR MATH 320
A CONTINUOUS AND NOWHERE DIFFERENTIABLE FUNCTION, FOR MATH 320 This note is a demonstration of some of the details in Abbott s construction of a nowhere differentiable continuous function. The discovery
More informationWe are going to discuss what it means for a sequence to converge in three stages: First, we define what it means for a sequence to converge to zero
Chapter Limits of Sequences Calculus Student: lim s n = 0 means the s n are getting closer and closer to zero but never gets there. Instructor: ARGHHHHH! Exercise. Think of a better response for the instructor.
More informationMath 113 (Calculus 2) Exam 4
Math 3 (Calculus ) Exam 4 November 0 November, 009 Sections 0, 3 7 Name Student ID Section Instructor In some cases a series may be seen to converge or diverge for more than one reason. For such problems
More informationContents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3
Analysis Math Notes Study Guide Real Analysis Contents Ordered Fields 2 Ordered sets and fields 2 Construction of the Reals 1: Dedekind Cuts 2 Metric Spaces 3 Metric Spaces 3 Definitions 4 Separability
More informationMATH 104 : Final Exam
MATH 104 : Final Exam 10 May, 2017 Name: You have 3 hours to answer the questions. You are allowed one page (front and back) worth of notes. The page should not be larger than a standard US letter size.
More informationON SPACE-FILLING CURVES AND THE HAHN-MAZURKIEWICZ THEOREM
ON SPACE-FILLING CURVES AND THE HAHN-MAZURKIEWICZ THEOREM ALEXANDER KUPERS Abstract. These are notes on space-filling curves, looking at a few examples and proving the Hahn-Mazurkiewicz theorem. This theorem
More informationDavid M. Bressoud Macalester College, St. Paul, Minnesota Given at Allegheny College, Oct. 23, 2003
David M. Bressoud Macalester College, St. Paul, Minnesota Given at Allegheny College, Oct. 23, 2003 The Fundamental Theorem of Calculus:. If F' ( x)= f ( x), then " f ( x) dx = F( b)! F( a). b a 2. d dx
More informationCompletion Date: Monday February 11, 2008
MATH 4 (R) Winter 8 Intermediate Calculus I Solutions to Problem Set #4 Completion Date: Monday February, 8 Department of Mathematical and Statistical Sciences University of Alberta Question. [Sec..9,
More informationFoundations of Analysis. Joseph L. Taylor. University of Utah
Foundations of Analysis Joseph L. Taylor University of Utah Contents Preface vii Chapter 1. The Real Numbers 1 1.1. Sets and Functions 2 1.2. The Natural Numbers 8 1.3. Integers and Rational Numbers 16
More information1.1 Introduction to Limits
Chapter 1 LIMITS 1.1 Introduction to Limits Why Limit? Suppose that an object steadily moves forward, with s(t) denotes the position at time t. The average speed over the interval [1,2] is The average
More informationRelationship Between Integration and Differentiation
Relationship Between Integration and Differentiation Fundamental Theorem of Calculus Philippe B. Laval KSU Today Philippe B. Laval (KSU) FTC Today 1 / 16 Introduction In the previous sections we defined
More informationSolutions Manual for Homework Sets Math 401. Dr Vignon S. Oussa
1 Solutions Manual for Homework Sets Math 401 Dr Vignon S. Oussa Solutions Homework Set 0 Math 401 Fall 2015 1. (Direct Proof) Assume that x and y are odd integers. Then there exist integers u and v such
More informationMath 101: Course Summary
Math 101: Course Summary Rich Schwartz August 22, 2009 General Information: Math 101 is a first course in real analysis. The main purpose of this class is to introduce real analysis, and a secondary purpose
More informationFunctions based on sin ( π. and cos
Functions based on sin and cos. Introduction In Complex Analysis if a function is differentiable it has derivatives of all orders. In Real Analysis the situation is very different. Using sin (π/ and cos
More informationWe have been going places in the car of calculus for years, but this analysis course is about how the car actually works.
Analysis I We have been going places in the car of calculus for years, but this analysis course is about how the car actually works. Copier s Message These notes may contain errors. In fact, they almost
More informationJuly 21 Math 2254 sec 001 Summer 2015
July 21 Math 2254 sec 001 Summer 2015 Section 8.8: Power Series Theorem: Let a n (x c) n have positive radius of convergence R, and let the function f be defined by this power series f (x) = a n (x c)
More informationPre-Calculus Midterm Practice Test (Units 1 through 3)
Name: Date: Period: Pre-Calculus Midterm Practice Test (Units 1 through 3) Learning Target 1A I can describe a set of numbers in a variety of ways. 1. Write the following inequalities in interval notation.
More informationSome Background Material
Chapter 1 Some Background Material In the first chapter, we present a quick review of elementary - but important - material as a way of dipping our toes in the water. This chapter also introduces important
More informationThe Way of Analysis. Robert S. Strichartz. Jones and Bartlett Publishers. Mathematics Department Cornell University Ithaca, New York
The Way of Analysis Robert S. Strichartz Mathematics Department Cornell University Ithaca, New York Jones and Bartlett Publishers Boston London Contents Preface xiii 1 Preliminaries 1 1.1 The Logic of
More informationNotes: 1. Regard as the maximal output error and as the corresponding maximal input error
Limits and Continuity One of the major tasks in analysis is to classify a function by how nice it is Of course, nice often depends upon what you wish to do or model with the function Below is a list of
More informationMATH 310 Course Objectives
MATH 310 Course Objectives Upon successful completion of MATH 310, the student should be able to: Apply the addition, subtraction, multiplication, and division principles to solve counting problems. Apply
More information1. Theorem. (Archimedean Property) Let x be any real number. There exists a positive integer n greater than x.
Advanced Calculus I, Dr. Block, Chapter 2 notes. Theorem. (Archimedean Property) Let x be any real number. There exists a positive integer n greater than x. 2. Definition. A sequence is a real-valued function
More informationBeyond Newton and Leibniz: The Making of Modern Calculus. Anthony V. Piccolino, Ed. D. Palm Beach State College Palm Beach Gardens, Florida
Beyond Newton and Leibniz: The Making of Modern Calculus Anthony V. Piccolino, Ed. D. Palm Beach State College Palm Beach Gardens, Florida Calculus Before Newton & Leibniz Four Major Scientific Problems
More informationTEST CODE: PMB SYLLABUS
TEST CODE: PMB SYLLABUS Convergence and divergence of sequence and series; Cauchy sequence and completeness; Bolzano-Weierstrass theorem; continuity, uniform continuity, differentiability; directional
More informationFINAL EXAM Math 25 Temple-F06
FINAL EXAM Math 25 Temple-F06 Write solutions on the paper provided. Put your name on this exam sheet, and staple it to the front of your finished exam. Do Not Write On This Exam Sheet. Problem 1. (Short
More informationSolutions Manual for: Understanding Analysis, Second Edition. Stephen Abbott Middlebury College
Solutions Manual for: Understanding Analysis, Second Edition Stephen Abbott Middlebury College June 25, 2015 Author s note What began as a desire to sketch out a simple answer key for the problems in Understanding
More informationExamples of the Fourier Theorem (Sect. 10.3). The Fourier Theorem: Continuous case.
s of the Fourier Theorem (Sect. 1.3. The Fourier Theorem: Continuous case. : Using the Fourier Theorem. The Fourier Theorem: Piecewise continuous case. : Using the Fourier Theorem. The Fourier Theorem:
More informationBig doings with small g a p s
Big doings with small g a p s Paul Pollack University of Georgia AAAS Annual Meeting February 16, 2015 1 of 26 SMALL GAPS: A SHORT SURVEY 2 of 26 300 BCE Let p n denote the nth prime number, so p 1 = 2,
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 informationCopyright 2010 Pearson Education, Inc. Publishing as Prentice Hall.
.1 Limits of Sequences. CHAPTER.1.0. a) True. If converges, then there is an M > 0 such that M. Choose by Archimedes an N N such that N > M/ε. Then n N implies /n M/n M/N < ε. b) False. = n does not converge,
More informationIntroduction. Chapter 1. Contents. EECS 600 Function Space Methods in System Theory Lecture Notes J. Fessler 1.1
Chapter 1 Introduction Contents Motivation........................................................ 1.2 Applications (of optimization).............................................. 1.2 Main principles.....................................................
More informationFourth Week: Lectures 10-12
Fourth Week: Lectures 10-12 Lecture 10 The fact that a power series p of positive radius of convergence defines a function inside its disc of convergence via substitution is something that we cannot ignore
More informationAdvanced Calculus Math 127B, Winter 2005 Solutions: Final. nx2 1 + n 2 x, g n(x) = n2 x
. Define f n, g n : [, ] R by f n (x) = Advanced Calculus Math 27B, Winter 25 Solutions: Final nx2 + n 2 x, g n(x) = n2 x 2 + n 2 x. 2 Show that the sequences (f n ), (g n ) converge pointwise on [, ],
More informationAcademic Content Standard MATHEMATICS. MA 51 Advanced Placement Calculus BC
Academic Content Standard MATHEMATICS MA 51 Advanced Placement Calculus BC Course #: MA 51 Grade Level: High School Course Name: Advanced Placement Calculus BC Level of Difficulty: High Prerequisites:
More informationO1 History of Mathematics Lecture VIII Establishing rigorous thinking in analysis. Monday 31st October 2016 (Week 4)
O1 History of Mathematics Lecture VIII Establishing rigorous thinking in analysis Monday 31st October 2016 (Week 4) Summary French institutions Fourier series Early-19th-century rigour Limits, continuity,
More informationCHINO VALLEY UNIFIED SCHOOL DISTRICT INSTRUCTIONAL GUIDE CALCULUS BC ADVANCED PLACEMENT
CHINO VALLEY UNIFIED SCHOOL DISTRICT INSTRUCTIONAL GUIDE CALCULUS BC ADVANCED PLACEMENT Course Number 5125 Department Mathematics Prerequisites Successful completion of Honors Pre-Calculus or Trigonometry
More informationMath 430/530: Advanced Calculus I Chapter 1: Sequences
Math 430/530: Advanced Calculus I Chapter 1: Sequences Fall 2018 Sequences A sequence is just a list of real numbers a 1, a 2,... with a definite order. We write a = (a n ) n=1 for a sequence a with n
More informationIowa State University. Instructor: Alex Roitershtein Summer Exam #1. Solutions. x u = 2 x v
Math 501 Iowa State University Introduction to Real Analysis Department of Mathematics Instructor: Alex Roitershtein Summer 015 Exam #1 Solutions This is a take-home examination. The exam includes 8 questions.
More informationx x2 2 + x3 3 x4 3. Use the divided-difference method to find a polynomial of least degree that fits the values shown: (b)
Numerical Methods - PROBLEMS. The Taylor series, about the origin, for log( + x) is x x2 2 + x3 3 x4 4 + Find an upper bound on the magnitude of the truncation error on the interval x.5 when log( + x)
More informationAn Introduction to Analysis on the Real Line for Classes Using Inquiry Based Learning
An Introduction to Analysis on the Real Line for Classes Using Inquiry Based Learning Helmut Knaust Department of Mathematical Sciences The University of Texas at El Paso El Paso TX 79968-0514 hknaust@utep.edu
More informationINDEX. Bolzano-Weierstrass theorem, for sequences, boundary points, bounded functions, 142 bounded sets, 42 43
INDEX Abel s identity, 131 Abel s test, 131 132 Abel s theorem, 463 464 absolute convergence, 113 114 implication of conditional convergence, 114 absolute value, 7 reverse triangle inequality, 9 triangle
More informationMATH3283W LECTURE NOTES: WEEK 6 = 5 13, = 2 5, 1 13
MATH383W LECTURE NOTES: WEEK 6 //00 Recursive sequences (cont.) Examples: () a =, a n+ = 3 a n. The first few terms are,,, 5 = 5, 3 5 = 5 3, Since 5
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 informationSequences. Limits of Sequences. Definition. A real-valued sequence s is any function s : N R.
Sequences Limits of Sequences. Definition. A real-valued sequence s is any function s : N R. Usually, instead of using the notation s(n), we write s n for the value of this function calculated at n. We
More informationBernoulli Numbers and their Applications
Bernoulli Numbers and their Applications James B Silva Abstract The Bernoulli numbers are a set of numbers that were discovered by Jacob Bernoulli (654-75). This set of numbers holds a deep relationship
More informationCHINO VALLEY UNIFIED SCHOOL DISTRICT INSTRUCTIONAL GUIDE ADVANCED PLACEMENT CALCULUS AB
CHINO VALLEY UNIFIED SCHOOL DISTRICT INSTRUCTIONAL GUIDE ADVANCED PLACEMENT CALCULUS AB Course Number 5124 Department Mathematics Prerequisites Successful completion of Integrated Math 3 Honors (Honors
More informationINTRODUCTION TO REAL ANALYSIS II MATH 4332 BLECHER NOTES
INTRODUCTION TO REAL ANALYSIS II MATH 433 BLECHER NOTES. As in earlier classnotes. As in earlier classnotes (Fourier series) 3. Fourier series (continued) (NOTE: UNDERGRADS IN THE CLASS ARE NOT RESPONSIBLE
More information7: FOURIER SERIES STEVEN HEILMAN
7: FOURIER SERIES STEVE HEILMA Contents 1. Review 1 2. Introduction 1 3. Periodic Functions 2 4. Inner Products on Periodic Functions 3 5. Trigonometric Polynomials 5 6. Periodic Convolutions 7 7. Fourier
More informationPart 2 Continuous functions and their properties
Part 2 Continuous functions and their properties 2.1 Definition Definition A function f is continuous at a R if, and only if, that is lim f (x) = f (a), x a ε > 0, δ > 0, x, x a < δ f (x) f (a) < ε. Notice
More informationBounded Derivatives Which Are Not Riemann Integrable. Elliot M. Granath. A thesis submitted in partial fulfillment of the requirements
Bounded Derivatives Which Are Not Riemann Integrable by Elliot M. Granath A thesis submitted in partial fulfillment of the requirements for graduation with Honors in Mathematics. Whitman College 2017 Certificate
More informationInfinite number. moon kyom September 5, 2010
Infinite number moon kyom September 5, 00 Added the infinite sign and the infinitesimal sign and defined an operation. The infinite calculation of number became possible. The benefits gained by infinite
More informationSECTION 9.2: ARITHMETIC SEQUENCES and PARTIAL SUMS
(Chapter 9: Discrete Math) 9.11 SECTION 9.2: ARITHMETIC SEQUENCES and PARTIAL SUMS PART A: WHAT IS AN ARITHMETIC SEQUENCE? The following appears to be an example of an arithmetic (stress on the me ) sequence:
More informationSolutions Final Exam May. 14, 2014
Solutions Final Exam May. 14, 2014 1. (a) (10 points) State the formal definition of a Cauchy sequence of real numbers. A sequence, {a n } n N, of real numbers, is Cauchy if and only if for every ɛ > 0,
More informationMath 321 Final Examination April 1995 Notation used in this exam: N. (1) S N (f,x) = f(t)e int dt e inx.
Math 321 Final Examination April 1995 Notation used in this exam: N 1 π (1) S N (f,x) = f(t)e int dt e inx. 2π n= N π (2) C(X, R) is the space of bounded real-valued functions on the metric space X, equipped
More informationAn Analysis of Katsuura s Continuous Nowhere Differentiable Function
An Analysis of Katsuura s Continuous Nowhere Differentiable Function Thomas M. Lewis Department of Mathematics Furman University tom.lewis@furman.edu Copyright c 2005 by Thomas M. Lewis October 14, 2005
More informationAN INTRODUCTION TO CLASSICAL REAL ANALYSIS
AN INTRODUCTION TO CLASSICAL REAL ANALYSIS KARL R. STROMBERG KANSAS STATE UNIVERSITY CHAPMAN & HALL London Weinheim New York Tokyo Melbourne Madras i 0 PRELIMINARIES 1 Sets and Subsets 1 Operations on
More informationDefinitions & Theorems
Definitions & Theorems Math 147, Fall 2009 December 19, 2010 Contents 1 Logic 2 1.1 Sets.................................................. 2 1.2 The Peano axioms..........................................
More informationTopics Covered in Calculus BC
Topics Covered in Calculus BC Calculus BC Correlation 5 A Functions, Graphs, and Limits 1. Analysis of graphs 2. Limits or functions (including one sides limits) a. An intuitive understanding of the limiting
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 informationO1 History of Mathematics Lecture VIII Establishing rigorous thinking in analysis. Monday 30th October 2017 (Week 4)
O1 History of Mathematics Lecture VIII Establishing rigorous thinking in analysis Monday 30th October 2017 (Week 4) Summary French institutions Fourier series Early-19th-century rigour Limits, continuity,
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 informationIntroduction to Numerical Analysis
Introduction to Numerical Analysis S. Baskar and S. Sivaji Ganesh Department of Mathematics Indian Institute of Technology Bombay Powai, Mumbai 400 076. Introduction to Numerical Analysis Lecture Notes
More informationEcon Lecture 3. Outline. 1. Metric Spaces and Normed Spaces 2. Convergence of Sequences in Metric Spaces 3. Sequences in R and R n
Econ 204 2011 Lecture 3 Outline 1. Metric Spaces and Normed Spaces 2. Convergence of Sequences in Metric Spaces 3. Sequences in R and R n 1 Metric Spaces and Metrics Generalize distance and length notions
More informationSolutions to Math 41 First Exam October 18, 2012
Solutions to Math 4 First Exam October 8, 202. (2 points) Find each of the following its, with justification. If the it does not exist, explain why. If there is an infinite it, then explain whether it
More informationCantor and Infinite Sets
Cantor and Infinite Sets Galileo and the Infinite There are many whole numbers that are not perfect squares: 2, 3, 5, 6, 7, 8, 10, 11, and so it would seem that all numbers, including both squares and
More informationSection 8.7. Taylor and MacLaurin Series. (1) Definitions, (2) Common Maclaurin Series, (3) Taylor Polynomials, (4) Applications.
Section 8.7 Taylor and MacLaurin Series (1) Definitions, (2) Common Maclaurin Series, (3) Taylor Polynomials, (4) Applications. MATH 126 (Section 8.7) Taylor and MacLaurin Series The University of Kansas
More informationQ You mentioned that in complex analysis we study analytic functions, or, in another name, holomorphic functions. Pray tell me, what are they?
COMPLEX ANALYSIS PART 2: ANALYTIC FUNCTIONS Q You mentioned that in complex analysis we study analytic functions, or, in another name, holomorphic functions. Pray tell me, what are they? A There are many
More informationWhat do you think are the qualities of a good theorem? it solves an open problem (Name one..? )
What do you think are the qualities of a good theorem? Aspects of "good" theorems: short surprising elegant proof applied widely: it solves an open problem (Name one..? ) creates a new field might be easy
More informationThese slides will be available at
David Bressoud Macalester College St. Paul, MN Moravian College February 20, 2009 These slides will be available at www.macalester.edu/~bressoud/talks The task of the educator is to make the child s spirit
More informationMAS221 Analysis, Semester 1,
MAS221 Analysis, Semester 1, 2018-19 Sarah Whitehouse Contents About these notes 2 1 Numbers, inequalities, bounds and completeness 2 1.1 What is analysis?.......................... 2 1.2 Irrational numbers.........................
More informationMA131 - Analysis 1. Workbook 6 Completeness II
MA3 - Analysis Workbook 6 Completeness II Autumn 2004 Contents 3.7 An Interesting Sequence....................... 3.8 Consequences of Completeness - General Bounded Sequences.. 3.9 Cauchy Sequences..........................
More informationMath 106 Calculus 1 Topics for first exam
Chapter 2: Limits and Continuity Rates of change and its: Math 06 Calculus Topics for first exam Limit of a function f at a point a = the value the function should take at the point = the value that the
More informationMa 530 Power Series II
Ma 530 Power Series II Please note that there is material on power series at Visual Calculus. Some of this material was used as part of the presentation of the topics that follow. Operations on Power Series
More informationRead carefully the instructions on the answer book and make sure that the particulars required are entered on each answer book.
THE UNIVERSITY OF WARWICK FIRST YEAR EXAMINATION: January 2011 Analysis I Time Allowed: 1.5 hours Read carefully the instructions on the answer book and make sure that the particulars required are entered
More information1 + lim. n n+1. f(x) = x + 1, x 1. and we check that f is increasing, instead. Using the quotient rule, we easily find that. 1 (x + 1) 1 x (x + 1) 2 =
Chapter 5 Sequences and series 5. Sequences Definition 5. (Sequence). A sequence is a function which is defined on the set N of natural numbers. Since such a function is uniquely determined by its values
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 informationStudent Study Session. Theorems
Students should be able to apply and have a geometric understanding of the following: Intermediate Value Theorem Mean Value Theorem for derivatives Extreme Value Theorem Name Formal Statement Restatement
More informationComplex Analysis Homework 9: Solutions
Complex Analysis Fall 2007 Homework 9: Solutions 3..4 (a) Let z C \ {ni : n Z}. Then /(n 2 + z 2 ) n /n 2 n 2 n n 2 + z 2. According to the it comparison test from calculus, the series n 2 + z 2 converges
More informationO1 History of Mathematics Lecture XII 19th-century rigour in real analysis, part 2: real numbers and sets. Monday 14th November 2016 (Week 6)
O1 History of Mathematics Lecture XII 19th-century rigour in real analysis, part 2: real numbers and sets Monday 14th November 2016 (Week 6) Summary Proofs of the Intermediate Value Theorem revisited Convergence
More informationMATH20101 Real Analysis, Exam Solutions and Feedback. 2013\14
MATH200 Real Analysis, Exam Solutions and Feedback. 203\4 A. i. Prove by verifying the appropriate definition that ( 2x 3 + x 2 + 5 ) = 7. x 2 ii. By using the Rules for its evaluate a) b) x 2 x + x 2
More informationComplex Analysis, Stein and Shakarchi Meromorphic Functions and the Logarithm
Complex Analysis, Stein and Shakarchi Chapter 3 Meromorphic Functions and the Logarithm Yung-Hsiang Huang 217.11.5 Exercises 1. From the identity sin πz = eiπz e iπz 2i, it s easy to show its zeros are
More informationSection 3.1 Quadratic Functions
Chapter 3 Lecture Notes Page 1 of 72 Section 3.1 Quadratic Functions Objectives: Compare two different forms of writing a quadratic function Find the equation of a quadratic function (given points) Application
More informationGAUSS CIRCLE PROBLEM
GAUSS CIRCLE PROBLEM 1. Gauss circle problem We begin with a very classical problem: how many lattice points lie on or inside the circle centered at the origin and with radius r? (In keeping with the classical
More information6: Polynomials and Polynomial Functions
6: Polynomials and Polynomial Functions 6-1: Polynomial Functions Okay you know what a variable is A term is a product of constants and powers of variables (for example: x ; 5xy ) For now, let's restrict
More informationB L U E V A L L E Y D I S T R I C T C U R R I C U L U M & I N S T R U C T I O N Mathematics AP Calculus BC
B L U E V A L L E Y D I S T R I C T C U R R I C U L U M & I N S T R U C T I O N Mathematics AP Calculus BC Weeks ORGANIZING THEME/TOPIC CONTENT CHAPTER REFERENCE FOCUS STANDARDS & SKILLS Analysis of graphs.
More informationA LITTLE REAL ANALYSIS AND TOPOLOGY
A LITTLE REAL ANALYSIS AND TOPOLOGY 1. NOTATION Before we begin some notational definitions are useful. (1) Z = {, 3, 2, 1, 0, 1, 2, 3, }is the set of integers. (2) Q = { a b : aεz, bεz {0}} is the set
More informationFinding local extrema and intervals of increase/decrease
Finding local extrema and intervals of increase/decrease Example 1 Find the relative extrema of f(x) = increasing and decreasing. ln x x. Also, find where f(x) is STEP 1: Find the domain of the function
More informationThe Foundations of Real Analysis A Fundamental Course with 347 Exercises and Detailed Solutions
The Foundations of Real Analysis A Fundamental Course with 347 Exercises and Detailed Solutions Richard Mikula BrownWalker Press Boca Raton The Foundations of Real Analysis: A Fundamental Course with 347
More informationPEANO CURVES IN COMPLEX ANALYSIS
PEANO CURVES IN COMPLEX ANALYSIS MALIK YOUNSI Abstract. A Peano curve is a continuous function from the unit interval into the plane whose image contains a nonempty open set. In this note, we show how
More informationWeek 2: Sequences and Series
QF0: Quantitative Finance August 29, 207 Week 2: Sequences and Series Facilitator: Christopher Ting AY 207/208 Mathematicians have tried in vain to this day to discover some order in the sequence of prime
More informationMATH 117 LECTURE NOTES
MATH 117 LECTURE NOTES XIN ZHOU Abstract. This is the set of lecture notes for Math 117 during Fall quarter of 2017 at UC Santa Barbara. The lectures follow closely the textbook [1]. Contents 1. The set
More informationMidterm Review Math 311, Spring 2016
Midterm Review Math 3, Spring 206 Material Review Preliminaries and Chapter Chapter 2. Set theory (DeMorgan s laws, infinite collections of sets, nested sets, cardinality) 2. Functions (image, preimage,
More informationFRACTALS, DIMENSION, AND NONSMOOTH ANALYSIS ERIN PEARSE
FRACTALS, DIMENSION, AND NONSMOOTH ANALYSIS ERIN PEARSE 1. Fractional Dimension Fractal = fractional dimension. Intuition suggests dimension is an integer, e.g., A line is 1-dimensional, a plane (or square)
More informationA history of Topology
A history of Topology Version for printing Geometry and topology index History Topics Index Topological ideas are present in almost all areas of today's mathematics. The subject of topology itself consists
More informationContents. Preface xi. vii
Preface xi 1. Real Numbers and Monotone Sequences 1 1.1 Introduction; Real numbers 1 1.2 Increasing sequences 3 1.3 Limit of an increasing sequence 4 1.4 Example: the number e 5 1.5 Example: the harmonic
More informationComplex Analysis: A Round-Up
Complex Analysis: A Round-Up October 1, 2009 Sergey Lototsky, USC, Dept. of Math. *** 1 Prelude: Arnold s Principle Valdimir Igorevich Arnold (b. 1937): Russian The Arnold Principle. If a notion bears
More informationCOURSE OBJECTIVES LIST: CALCULUS
COURSE OBJECTIVES LIST: CALCULUS Calculus Honors and/or AP Calculus AB are offered. Both courses have the same prerequisites, and cover the same material. Girls enrolled in AP Calculus AB have the following
More informationz b k P k p k (z), (z a) f (n 1) (a) 2 (n 1)! (z a)n 1 +f n (z)(z a) n, where f n (z) = 1 C
. Representations of Meromorphic Functions There are two natural ways to represent a rational function. One is to express it as a quotient of two polynomials, the other is to use partial fractions. The
More information1 Question related to polynomials
07-08 MATH00J Lecture 6: Taylor Series Charles Li Warning: Skip the material involving the estimation of error term Reference: APEX Calculus This lecture introduced Taylor Polynomial and Taylor Series
More information