Inverse limits of set-valued functions

Size: px
Start display at page:

Download "Inverse limits of set-valued functions"

Transcription

1 Iztok Banič University o Maribor Vienna, 2012

2 Continua Deinition A continuum is a nonempty, compact and connected metric space.

3 sin 1 x -continuum Let W = { } (x, sin 1 x ) R2 0 < x 1. Any continuum homeomorphic to Cl(W) is called a sin 1 x -continuum

4 A harmonic an

5 The Brouwer-Janiszewski-Knaster continuum The Brouwer-Janiszewski-Knaster continuum: B. Knaster, Un continu dont tout sous-continu est indécomposable, Fund. Math. 3 (1922)

6 Pseudo-arc

7 Ważewski s universal dendrite T. Ważewski, Sour les courbes de Jordan ne renermant aucune courbe simple ermee de Jordan, Roczniki Polskiego Tow. Mat. 2 (1923)

8 Inverse limit Inverse sequence X 1 1 X2 2 X3 3 X4 4 X5 5 X The inverse limit o an inverse sequence {X k, k } k=1 is deined to be the subspace o the product space X k o all k=1 x = (x 1, x 2, x 3,...) X k, such that x k = k (x k+1 ) or each k. k=1 K = lim {X k, k } k=1

9 Inverse limit Inverse sequence X 1 1 X2 2 X3 3 X4 4 X5 5 X The inverse limit o an inverse sequence {X k, k } k=1 is deined to be the subspace o the product space X k o all k=1 x = (x 1, x 2, x 3,...) X k, such that x k = k (x k+1 ) or each k. k=1 K = lim {X k, k } k=1

10 Examples [0, 1]... For each t [0, 1], (t) = t. For each t [0, 1], (t) = 1. (t) = { 2t ; t t ; t 1 2. For each t [0, 1], (t) = t 2.

11 Examples [0, 1]... For each t [0, 1], (t) = t. For each t [0, 1], (t) = 1. (t) = { 2t ; t t ; t 1 2. For each t [0, 1], (t) = t 2.

12 Examples [0, 1]... For each t [0, 1], (t) = t. For each t [0, 1], (t) = 1. (t) = { 2t ; t t ; t 1 2. For each t [0, 1], (t) = t 2.

13 Examples [0, 1]... For each t [0, 1], (t) = t. For each t [0, 1], (t) = 1. (t) = { 2t ; t t ; t 1 2. For each t [0, 1], (t) = t 2.

14 2 X I (X, d) is a compact metric space, then 2 X denotes the set o all nonempty closed subsets o X.

15 u.s.c. unctions A unction : X 2 Y, where X and Y are compact metric spaces, is upper semi-continuous (abbreviated u.s.c.) at x X i or each open set V in Y, such that (x) V, there is an open set U in X, such that x U and or each u U, (u) V. A unction : X 2 Y is surjective, i or each y Y there is an x X, such that y (x). The graph Γ() o a unction : X 2 Y is the set o all points (x, y) X Y such that y (x).

16 u.s.c. unctions A unction : X 2 Y, where X and Y are compact metric spaces, is upper semi-continuous (abbreviated u.s.c.) at x X i or each open set V in Y, such that (x) V, there is an open set U in X, such that x U and or each u U, (u) V. A unction : X 2 Y is surjective, i or each y Y there is an x X, such that y (x). The graph Γ() o a unction : X 2 Y is the set o all points (x, y) X Y such that y (x).

17 u.s.c. unctions A unction : X 2 Y, where X and Y are compact metric spaces, is upper semi-continuous (abbreviated u.s.c.) at x X i or each open set V in Y, such that (x) V, there is an open set U in X, such that x U and or each u U, (u) V. A unction : X 2 Y is surjective, i or each y Y there is an x X, such that y (x). The graph Γ() o a unction : X 2 Y is the set o all points (x, y) X Y such that y (x).

18 u.s.c. unctions Theorem Let X and Y be compact metric spaces and : X 2 Y a unction. Then is u.s.c. i and only i its graph Γ() is closed in X Y.

19 Examples : [0, 1] 2 [0,1] (t) = { {1} ; t < 1 [0, 1] ; t = 1. { {1} ; t < 1 (t) = [ ] 0, 1 2 ; t = 1.

20 Examples : [0, 1] 2 [0,1] (t) = { {1} ; t < 1 [0, 1] ; t = 1. { {1} ; t < 1 (t) = [ ] 0, 1 2 ; t = 1.

21 Examples I : [0, 1] [0, 1] is continuous, then F : [0, 1] 2 [0,1], F(x) = {(x)}, is u.s.c. I F : [0, 1] 2 [0,1] is u.s.c., and or each x [0, 1], F(x) = {y x }, then : [0, 1] [0, 1], (x) = y x, is continuous.

22 Examples I : [0, 1] [0, 1] is continuous, then F : [0, 1] 2 [0,1], F(x) = {(x)}, is u.s.c. I F : [0, 1] 2 [0,1] is u.s.c., and or each x [0, 1], F(x) = {y x }, then : [0, 1] [0, 1], (x) = y x, is continuous.

23 Generalized inverse limits Inverse sequence X 1 1 X2 2 X3 3 X4 4 X5 5 X The (generalized) inverse limit o an inverse sequence {X k, k } k=1 is deined to be the subspace o the product space X k o all x = (x 1, x 2, x 3,...) X k, such that x k k (x k+1 ) k=1 or each k. k=1 K = lim {X k, k } k=1

24 Generalized inverse limits Inverse sequence X 1 1 X2 2 X3 3 X4 4 X5 5 X The (generalized) inverse limit o an inverse sequence {X k, k } k=1 is deined to be the subspace o the product space X k o all x = (x 1, x 2, x 3,...) X k, such that x k k (x k+1 ) k=1 or each k. k=1 K = lim {X k, k } k=1

25 Generalized inverse limits The inverse limit o {X k, k } k=1 is denoted by lim {X k, k } k=1. W.T. Ingram, W.S. Mahavier, Inverse limits o upper semi-continuous set valued unctions, Houston J. Math. 32 (2006)

26 Generalized inverse limits The inverse limit o {X k, k } k=1 is denoted by lim {X k, k } k=1. W.T. Ingram, W.S. Mahavier, Inverse limits o upper semi-continuous set valued unctions, Houston J. Math. 32 (2006)

27 Examples [0, 1]... For each t [0, 1], (t) = {0, 1}. For each t [0, 1], (t) = [0, 1]. (t) = { {t} ; t < 1 [0, 1] ; t = 1.

28 Examples [0, 1]... For each t [0, 1], (t) = {0, 1}. For each t [0, 1], (t) = [0, 1]. (t) = { {t} ; t < 1 [0, 1] ; t = 1.

29 Examples [0, 1]... For each t [0, 1], (t) = {0, 1}. For each t [0, 1], (t) = [0, 1]. (t) = { {t} ; t < 1 [0, 1] ; t = 1.

30 Examples (t) = { { 1 2 } ; t < 1 [0, 1] ; t = 1 For each t [0, 1], (t) = {0, t}.

31 Examples (t) = { { 1 2 } ; t < 1 [0, 1] ; t = 1 For each t [0, 1], (t) = {0, t}.

32 Properties - compactness Theorem Let or each k, X k be a compact metric space, and let or each k k : X k+1 X k be a continuous unction. Then lim {X k, k } k=1 is compact. Question Let or each k, X k be a compact metric space, and let or each k k : X k+1 2 X k be a u.s.c. unction. Is it true that lim {X k, k } k=1 is also compact?

33 Properties - compactness Theorem Let or each k, X k be a compact metric space, and let or each k k : X k+1 X k be a continuous unction. Then lim {X k, k } k=1 is compact. Question Let or each k, X k be a compact metric space, and let or each k k : X k+1 2 X k be a u.s.c. unction. Is it true that lim {X k, k } k=1 is also compact?

34 Properties - compactness YES!

35 Properties - connectedness Theorem Let or each k, X k be a continuum, and let or each k k : X k+1 X k be a continuous unction. Then lim {X k, k } k=1 is a continuum. Question Let or each k, X k be a continuum, and let or each k k : X k+1 2 X k be a u.s.c. unction. Is it true that lim {X k, k } k=1 is also connected?

36 Properties - connectedness Theorem Let or each k, X k be a continuum, and let or each k k : X k+1 X k be a continuous unction. Then lim {X k, k } k=1 is a continuum. Question Let or each k, X k be a continuum, and let or each k k : X k+1 2 X k be a u.s.c. unction. Is it true that lim {X k, k } k=1 is also connected?

37 Properties - connectedness NO! [0, 1] For each t [0, 1], (t) = {0, 1}....

38 Properties - connectedness NO! [0, 1] For each t [0, 1], (t) = {0, 1}....

39 Properties - connectedness Question Let or each k, X k be a continuum, and let or each k k : X k+1 2 X k be a u.s.c. unction with connected graph. Is it true that lim{x k, k } k=1 is connected?

40 Properties - connectedness NO! [0, 1] (t) = { { t, t} ; t 1 2 {0, 1} ; t

41 Properties - connectedness NO! [0, 1] (t) = { { t, t} ; t 1 2 {0, 1} ; t

42 Properties - connectedness Theorem Let or each k, X k be a continuum, and let or each k k : X k+1 X k be a u.s.c. unction with connected graph. I or each x X k+1, (x) is connected, then lim {X k, k } k=1 is connected. Theorem Let or each k, X k be a continuum, and let or each k k : X k+1 X k be a u.s.c. unction with connected graph. I or each y X k, {x X k+1 y (x)} is connected, then lim {X k, k } k=1 is connected.

43 Properties - connectedness Theorem Let or each k, X k be a continuum, and let or each k k : X k+1 X k be a u.s.c. unction with connected graph. I or each x X k+1, (x) is connected, then lim {X k, k } k=1 is connected. Theorem Let or each k, X k be a continuum, and let or each k k : X k+1 X k be a u.s.c. unction with connected graph. I or each y X k, {x X k+1 y (x)} is connected, then lim {X k, k } k=1 is connected.

44 Properties - connectedness I : [0, 1] 2 [0,1] is a surjective u.s.c. unction, such that Γ() is a pseudo-arc, then the inverse limit lim {[0, 1], } is totally disconnected. There is a u.s.c. unction : [0, 1] 2 [0,1], such that 1 Γ() is an arc, 2 lim {[0, 1], } is totally disconnected. Question Is there a surjective u.s.c. unction : [0, 1] 2 [0,1], such that 1 Γ() is an arc, 2 lim{[0, 1], } is totally disconnected?

45 Properties - connectedness I : [0, 1] 2 [0,1] is a surjective u.s.c. unction, such that Γ() is a pseudo-arc, then the inverse limit lim {[0, 1], } is totally disconnected. There is a u.s.c. unction : [0, 1] 2 [0,1], such that 1 Γ() is an arc, 2 lim {[0, 1], } is totally disconnected. Question Is there a surjective u.s.c. unction : [0, 1] 2 [0,1], such that 1 Γ() is an arc, 2 lim{[0, 1], } is totally disconnected?

46 Properties - connectedness I : [0, 1] 2 [0,1] is a surjective u.s.c. unction, such that Γ() is a pseudo-arc, then the inverse limit lim {[0, 1], } is totally disconnected. There is a u.s.c. unction : [0, 1] 2 [0,1], such that 1 Γ() is an arc, 2 lim {[0, 1], } is totally disconnected. Question Is there a surjective u.s.c. unction : [0, 1] 2 [0,1], such that 1 Γ() is an arc, 2 lim{[0, 1], } is totally disconnected?

47 Properties - the subsequence lemma Theorem Let or each k, X k be a compact metric space, and let or each k k : X k+1 X k be a continuous unction. I {i k } k=1 is a strictly increasing sequence o integers and or each k, g ik : X ik+1 X ik is the composition g ik = ik+1 1 ik+1 2 ik ik, then lim {X k, k } k=1 and lim{x i k, g ik } k=1 are homeomorphic. Question Let or each k, X k be a compact metric space, and let or each k k : X k+1 2 X k be a u.s.c. unction. I {i k } k=1 is a strictly increasing sequence o integers and or each k, g ik : X ik+1 2 X i k is the composition g ik = ik+1 1 ik+1 2 ik ik, is it true that then lim{x k, k } k=1 and lim{x i k, g ik } k=1 are homeomorphic?

48 Properties - the subsequence lemma Theorem Let or each k, X k be a compact metric space, and let or each k k : X k+1 X k be a continuous unction. I {i k } k=1 is a strictly increasing sequence o integers and or each k, g ik : X ik+1 X ik is the composition g ik = ik+1 1 ik+1 2 ik ik, then lim {X k, k } k=1 and lim{x i k, g ik } k=1 are homeomorphic. Question Let or each k, X k be a compact metric space, and let or each k k : X k+1 2 X k be a u.s.c. unction. I {i k } k=1 is a strictly increasing sequence o integers and or each k, g ik : X ik+1 2 X i k is the composition g ik = ik+1 1 ik+1 2 ik ik, is it true that then lim{x k, k } k=1 and lim{x i k, g ik } k=1 are homeomorphic?

49 Properties - the subsequence lemma NO!

50 What can one get? [0, 1]... I lim {[0, 1], } k=1 is a graph, then it is an arc.

51 lim {[0, 1], } k=1 is never a disc. There is a u.s.c. unction : [0, 1] 2 [01] such that lim {[0, 1], } k=1 is homeomorphic to the Ważewski s universal dendrite.

52 lim {[0, 1], } k=1 is never a disc. There is a u.s.c. unction : [0, 1] 2 [01] such that lim {[0, 1], } k=1 is homeomorphic to the Ważewski s universal dendrite.

53 [0, 1] Can any continuum be represented as an inverse limit lim {[0, 1], k} k=1?

54 Tent-unctions For any a, b [0, 1], the tent unction (a,b) : [0, 1] [0, 1] is deined as the set-valued unction with the graph Γ( (a,b) ) being the union o the segment (possibly degenerate) rom (0, 0) to (a, b) and the segment (possibly degenerate) rom (a, b) to (1, 0). The inverse limit obtained rom the inverse sequence o closed unit intervals [0, 1] and bonding unction (a,b) is denoted by K (a,b) = lim {[0, 1], (a,b) } n=1.

55 ( 1 2,1)

56 The Ingram conjecture The whole amily o continua K ( 1,b), < b 1, has been called Knaster continua and the amous Ingram conjecture, stated in 1992, claimed that all o them are pairwise non-homeomorphic. The conjecture was proved in 2009 by M. Barge, H. Bruin and S. Štimac

57 Classiying tent maps inverse limits Question What is K (a,b) or a given tent unction (a,b)?

58 Theorem I a, b [0, 1] and b < a or (a, b) = (0, 0), then K (a,b) = {(0, 0, 0,...)}

59 Theorem I a (0, 1), then K (a,a) is an arc rom (0, 0, 0,...) to (a, a, a,...)

60 (0,b), b (0, 1) Theorem I b (0, 1), then K (0,b) is an arc rom (0, 0, 0,...) to ( b b 1+b,...). 1+b, b 1+b,

61 (1,1) Theorem K (1,1) is homeomorphic to the harmonic an.

62 (a,1), a (0, 1) Theorem I a (0, 1), then K (a,1) is homeomorphic to the Brouwer-Janiszewki-Knaster continuum

63 (0,1) Theorem (a) K (0,1) contains sin 1 x continua. (b) K (0,1) contains harmonic ans. (c) For each integer n 3, there are simple n ods contained in K (0,1) that are not contained in any simple m-od or any m > n. (d) K (0,1) is one-dimensional. (e) K (0,1) is tree-like.

64 a,b, a, b (0, 1), a < b and b < 1 a Theorem Let a, b (0, 1), a < b and b < 1 a. Then K (a,b) is an arc

65 The curves C t For any t [1, ) let C t = {(x, y) [0, 1] [0, 1] x t+1 x t = y t+1 y t, 0 < x < y}

66 The curves C t For any t [1, ) let C t = {(x, y) [0, 1] [0, 1] x t+1 x t = y t+1 y t, 0 < x < y}

67 C n Theorem Let n be a positive integer and (a, b),(c, d) C n. Then K (a,b) and K (c,d) are homeomorphic.

68 Theorem I (a, b) C n and (c, d) C m or some positive integers n m, then K (a,b) and K (c,d) are not homeomorphic.

69 (a,b), (a, b) C 1 Theorem I (a, b) C 1, then K (a,b) is a sin 1 x -continuum

70 Towards the complete classiication o tent maps inverse limits

71 The Conjecture Let t [1, ) and (a, b),(c, d) C t. Then K (a,b) and K (c,d) are homeomorphic.

72 Thank you!

9 More on differentiation

9 More on differentiation Tel Aviv University, 2013 Measure and category 75 9 More on differentiation 9a Finite Taylor expansion............... 75 9b Continuous and nowhere differentiable..... 78 9c Differentiable and nowhere monotone......

More information

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 3 Fall 2008 III. Spaces with special properties III.1 : Compact spaces I Problems from Munkres, 26, pp. 170 172 3. Show that a finite union of compact subspaces

More information

Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011

Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 A. Miller 1. Introduction. The definitions of metric space and topological space were developed in the early 1900 s, largely

More information

Introduction to Topology

Introduction to Topology Introduction to Topology Tomoo Matsumura November 30, 2010 Contents 1 Topological spaces 3 1.1 Basis of a Topology......................................... 3 1.2 Comparing Topologies.......................................

More information

RANDOM INTERVAL HOMEOMORPHISMS. MICHA L MISIUREWICZ Indiana University Purdue University Indianapolis

RANDOM INTERVAL HOMEOMORPHISMS. MICHA L MISIUREWICZ Indiana University Purdue University Indianapolis RANDOM INTERVAL HOMEOMORPHISMS MICHA L MISIUREWICZ Indiana University Purdue University Indianapolis This is a joint work with Lluís Alsedà Motivation: A talk by Yulij Ilyashenko. Two interval maps, applied

More information

Tree sums and maximal connected I-spaces

Tree sums and maximal connected I-spaces Tree sums and maximal connected I-spaces Adam Bartoš drekin@gmail.com Faculty of Mathematics and Physics Charles University in Prague Twelfth Symposium on General Topology Prague, July 2016 Maximal and

More information

MA651 Topology. Lecture 6. Separation Axioms.

MA651 Topology. Lecture 6. Separation Axioms. MA651 Topology. Lecture 6. Separation Axioms. This text is based on the following books: Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology by Nicolas Bourbaki Counterexamples

More information

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)!

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)! Math 7 Fall 205 HOMEWORK 5 SOLUTIONS Problem. 2008 B2 Let F 0 x = ln x. For n 0 and x > 0, let F n+ x = 0 F ntdt. Evaluate n!f n lim n ln n. By directly computing F n x for small n s, we obtain the following

More information

I. GROUPS: BASIC DEFINITIONS AND EXAMPLES

I. GROUPS: BASIC DEFINITIONS AND EXAMPLES I GROUPS: BASIC DEFINITIONS AND EXAMPLES Definition 1: An operation on a set G is a function : G G G Definition 2: A group is a set G which is equipped with an operation and a special element e G, called

More information

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

x a x 2 (1 + x 2 ) n. Limits and continuity Suppose that we have a function f : R R. Let a R. We say that f(x) tends to the limit l as x tends to a; lim f(x) = l ; x a if, given any real number ɛ > 0, there exists a real number

More information

Mathematics Course 111: Algebra I Part IV: Vector Spaces

Mathematics Course 111: Algebra I Part IV: Vector Spaces Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are

More information

PSEUDOARCS, PSEUDOCIRCLES, LAKES OF WADA AND GENERIC MAPS ON S 2

PSEUDOARCS, PSEUDOCIRCLES, LAKES OF WADA AND GENERIC MAPS ON S 2 PSEUDOARCS, PSEUDOCIRCLES, LAKES OF WADA AND GENERIC MAPS ON S 2 Abstract. We prove a Bruckner-Garg type theorem for the fiber structure of a generic map from a continuum X into the unit interval I. We

More information

Metric Spaces Joseph Muscat 2003 (Last revised May 2009)

Metric Spaces Joseph Muscat 2003 (Last revised May 2009) 1 Distance J Muscat 1 Metric Spaces Joseph Muscat 2003 (Last revised May 2009) (A revised and expanded version of these notes are now published by Springer.) 1 Distance A metric space can be thought of

More information

Lecture Notes on Topology for MAT3500/4500 following J. R. Munkres textbook. John Rognes

Lecture Notes on Topology for MAT3500/4500 following J. R. Munkres textbook. John Rognes Lecture Notes on Topology for MAT3500/4500 following J. R. Munkres textbook John Rognes November 29th 2010 Contents Introduction v 1 Set Theory and Logic 1 1.1 ( 1) Fundamental Concepts..............................

More information

Class One: Degree Sequences

Class One: Degree Sequences Class One: Degree Sequences For our purposes a graph is a just a bunch of points, called vertices, together with lines or curves, called edges, joining certain pairs of vertices. Three small examples of

More information

Mathematical Methods of Engineering Analysis

Mathematical Methods of Engineering Analysis Mathematical Methods of Engineering Analysis Erhan Çinlar Robert J. Vanderbei February 2, 2000 Contents Sets and Functions 1 1 Sets................................... 1 Subsets.............................

More information

List the elements of the given set that are natural numbers, integers, rational numbers, and irrational numbers. (Enter your answers as commaseparated

List the elements of the given set that are natural numbers, integers, rational numbers, and irrational numbers. (Enter your answers as commaseparated MATH 142 Review #1 (4717995) Question 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Description This is the review for Exam #1. Please work as many problems as possible

More information

1 if 1 x 0 1 if 0 x 1

1 if 1 x 0 1 if 0 x 1 Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or

More information

4. Expanding dynamical systems

4. Expanding dynamical systems 4.1. Metric definition. 4. Expanding dynamical systems Definition 4.1. Let X be a compact metric space. A map f : X X is said to be expanding if there exist ɛ > 0 and L > 1 such that d(f(x), f(y)) Ld(x,

More information

INTRODUCTION TO TOPOLOGY

INTRODUCTION TO TOPOLOGY INTRODUCTION TO TOPOLOGY ALEX KÜRONYA In preparation January 24, 2010 Contents 1. Basic concepts 1 2. Constructing topologies 13 2.1. Subspace topology 13 2.2. Local properties 18 2.3. Product topology

More information

1. Prove that the empty set is a subset of every set.

1. Prove that the empty set is a subset of every set. 1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since

More information

I. Pointwise convergence

I. Pointwise convergence MATH 40 - NOTES Sequences of functions Pointwise and Uniform Convergence Fall 2005 Previously, we have studied sequences of real numbers. Now we discuss the topic of sequences of real valued functions.

More information

Foundations of mathematics. 2. Set theory (continued)

Foundations of mathematics. 2. Set theory (continued) 2.1. Tuples, amilies Foundations o mathematics 2. Set theory (continued) Sylvain Poirier settheory.net A tuple (or n-tuple, or any integer n) is an interpretation o a list o n variables. It is thus a meta-unction

More information

TOPIC 4: DERIVATIVES

TOPIC 4: DERIVATIVES TOPIC 4: DERIVATIVES 1. The derivative of a function. Differentiation rules 1.1. The slope of a curve. The slope of a curve at a point P is a measure of the steepness of the curve. If Q is a point on the

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

More information

THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS

THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS KEITH CONRAD 1. Introduction The Fundamental Theorem of Algebra says every nonconstant polynomial with complex coefficients can be factored into linear

More information

CHAPTER 1 BASIC TOPOLOGY

CHAPTER 1 BASIC TOPOLOGY CHAPTER 1 BASIC TOPOLOGY Topology, sometimes referred to as the mathematics of continuity, or rubber sheet geometry, or the theory of abstract topological spaces, is all of these, but, above all, it is

More information

Metric Spaces. Chapter 1

Metric Spaces. Chapter 1 Chapter 1 Metric Spaces Many of the arguments you have seen in several variable calculus are almost identical to the corresponding arguments in one variable calculus, especially arguments concerning convergence

More information

Fixed Point Theorems in Topology and Geometry

Fixed Point Theorems in Topology and Geometry Fixed Point Theorems in Topology and Geometry A Senior Thesis Submitted to the Department of Mathematics In Partial Fulfillment of the Requirements for the Departmental Honors Baccalaureate By Morgan Schreffler

More information

Real Number Computability and Domain Theory

Real Number Computability and Domain Theory Real Number Computability and Domain Theory Pietro Di Gianantonio dipartimento di Matematica e Informatica, Università di Udine via delle Scienze 206 I-33100 Udine Italy E-mail: pietro@dimi.uniud.it Abstract

More information

Construction of functions with the given cluster sets

Construction of functions with the given cluster sets arxiv:1602.07118v1 [math.gn] 23 Feb 2016 Construction of functions with the given cluster sets Oleksandr V. Maslyuchenko Instytute of Mathematics Academia Pomeraniensis in Słupsk 76-200 Słupsk, Poland

More information

E3: PROBABILITY AND STATISTICS lecture notes

E3: PROBABILITY AND STATISTICS lecture notes E3: PROBABILITY AND STATISTICS lecture notes 2 Contents 1 PROBABILITY THEORY 7 1.1 Experiments and random events............................ 7 1.2 Certain event. Impossible event............................

More information

Connectivity and cuts

Connectivity and cuts Math 104, Graph Theory February 19, 2013 Measure of connectivity How connected are each of these graphs? > increasing connectivity > I G 1 is a tree, so it is a connected graph w/minimum # of edges. Every

More information

Exponential Functions

Exponential Functions Eponential Functions Deinition: An Eponential Function is an unction that has the orm ( a, where a > 0. The number a is called the base. Eample:Let For eample (0, (, ( It is clear what the unction means

More information

Metric Spaces. Chapter 7. 7.1. Metrics

Metric Spaces. Chapter 7. 7.1. Metrics Chapter 7 Metric Spaces A metric space is a set X that has a notion of the distance d(x, y) between every pair of points x, y X. The purpose of this chapter is to introduce metric spaces and give some

More information

n k=1 k=0 1/k! = e. Example 6.4. The series 1/k 2 converges in R. Indeed, if s n = n then k=1 1/k, then s 2n s n = 1 n + 1 +...

n k=1 k=0 1/k! = e. Example 6.4. The series 1/k 2 converges in R. Indeed, if s n = n then k=1 1/k, then s 2n s n = 1 n + 1 +... 6 Series We call a normed space (X, ) a Banach space provided that every Cauchy sequence (x n ) in X converges. For example, R with the norm = is an example of Banach space. Now let (x n ) be a sequence

More information

FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES

FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES CHRISTOPHER HEIL 1. Cosets and the Quotient Space Any vector space is an abelian group under the operation of vector addition. So, if you are have studied

More information

Inverse Functions and Logarithms

Inverse Functions and Logarithms Section 3. Inverse Functions and Logarithms 1 Kiryl Tsishchanka Inverse Functions and Logarithms DEFINITION: A function f is called a one-to-one function if it never takes on the same value twice; that

More information

UNIFORMLY DISCONTINUOUS GROUPS OF ISOMETRIES OF THE PLANE

UNIFORMLY DISCONTINUOUS GROUPS OF ISOMETRIES OF THE PLANE UNIFORMLY DISCONTINUOUS GROUPS OF ISOMETRIES OF THE PLANE NINA LEUNG Abstract. This paper discusses 2-dimensional locally Euclidean geometries and how these geometries can describe musical chords. Contents

More information

A Topology Primer. Preface. Lecture Notes 2001/2002. Klaus Wirthmüller. http://www.mathematik.uni-kl.de/ wirthm/de/top.html

A Topology Primer. Preface. Lecture Notes 2001/2002. Klaus Wirthmüller. http://www.mathematik.uni-kl.de/ wirthm/de/top.html A Topology Primer Lecture Notes 2001/2002 Klaus Wirthmüller http://www.mathematik.uni-kl.de/ wirthm/de/top.html Preface These lecture notes were written to accompany my introductory courses of topology

More information

CHAPTER 5. Number Theory. 1. Integers and Division. Discussion

CHAPTER 5. Number Theory. 1. Integers and Division. Discussion CHAPTER 5 Number Theory 1. Integers and Division 1.1. Divisibility. Definition 1.1.1. Given two integers a and b we say a divides b if there is an integer c such that b = ac. If a divides b, we write a

More information

Point Set Topology. A. Topological Spaces and Continuous Maps

Point Set Topology. A. Topological Spaces and Continuous Maps Point Set Topology A. Topological Spaces and Continuous Maps Definition 1.1 A topology on a set X is a collection T of subsets of X satisfying the following axioms: T 1.,X T. T2. {O α α I} T = α IO α T.

More information

Note on some explicit formulae for twin prime counting function

Note on some explicit formulae for twin prime counting function Notes on Number Theory and Discrete Mathematics Vol. 9, 03, No., 43 48 Note on some explicit formulae for twin prime counting function Mladen Vassilev-Missana 5 V. Hugo Str., 4 Sofia, Bulgaria e-mail:

More information

Homework # 3 Solutions

Homework # 3 Solutions Homework # 3 Solutions February, 200 Solution (2.3.5). Noting that and ( + 3 x) x 8 = + 3 x) by Equation (2.3.) x 8 x 8 = + 3 8 by Equations (2.3.7) and (2.3.0) =3 x 8 6x2 + x 3 ) = 2 + 6x 2 + x 3 x 8

More information

1 Local Brouwer degree

1 Local Brouwer degree 1 Local Brouwer degree Let D R n be an open set and f : S R n be continuous, D S and c R n. Suppose that the set f 1 (c) D is compact. (1) Then the local Brouwer degree of f at c in the set D is defined.

More information

Math 312 Homework 1 Solutions

Math 312 Homework 1 Solutions Math 31 Homework 1 Solutions Last modified: July 15, 01 This homework is due on Thursday, July 1th, 01 at 1:10pm Please turn it in during class, or in my mailbox in the main math office (next to 4W1) Please

More information

Section IV.21. The Field of Quotients of an Integral Domain

Section IV.21. The Field of Quotients of an Integral Domain IV.21 Field of Quotients 1 Section IV.21. The Field of Quotients of an Integral Domain Note. This section is a homage to the rational numbers! Just as we can start with the integers Z and then build the

More information

No: 10 04. Bilkent University. Monotonic Extension. Farhad Husseinov. Discussion Papers. Department of Economics

No: 10 04. Bilkent University. Monotonic Extension. Farhad Husseinov. Discussion Papers. Department of Economics No: 10 04 Bilkent University Monotonic Extension Farhad Husseinov Discussion Papers Department of Economics The Discussion Papers of the Department of Economics are intended to make the initial results

More information

DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS

DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS ASHER M. KACH, KAREN LANGE, AND REED SOLOMON Abstract. We construct two computable presentations of computable torsion-free abelian groups, one of isomorphism

More information

Fixed Point Theorems For Set-Valued Maps

Fixed Point Theorems For Set-Valued Maps Fixed Point Theorems For Set-Valued Maps Bachelor s thesis in functional analysis Institute for Analysis and Scientific Computing Vienna University of Technology Andreas Widder, July 2009. Preface In this

More information

Degree Hypergroupoids Associated with Hypergraphs

Degree Hypergroupoids Associated with Hypergraphs Filomat 8:1 (014), 119 19 DOI 10.98/FIL1401119F Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Degree Hypergroupoids Associated

More information

On end degrees and infinite cycles in locally finite graphs

On end degrees and infinite cycles in locally finite graphs On end degrees and infinite cycles in locally finite graphs Henning Bruhn Maya Stein Abstract We introduce a natural extension of the vertex degree to ends. For the cycle space C(G) as proposed by Diestel

More information

Comments on Quotient Spaces and Quotient Maps

Comments on Quotient Spaces and Quotient Maps 22M:132 Fall 07 J. Simon Comments on Quotient Spaces and Quotient Maps There are many situations in topology where we build a topological space by starting with some (often simpler) space[s] and doing

More information

Quasi Contraction and Fixed Points

Quasi Contraction and Fixed Points Available online at www.ispacs.com/jnaa Volume 2012, Year 2012 Article ID jnaa-00168, 6 Pages doi:10.5899/2012/jnaa-00168 Research Article Quasi Contraction and Fixed Points Mehdi Roohi 1, Mohsen Alimohammady

More information

Research Article Stability Analysis for Higher-Order Adjacent Derivative in Parametrized Vector Optimization

Research Article Stability Analysis for Higher-Order Adjacent Derivative in Parametrized Vector Optimization Hindawi Publishing Corporation Journal of Inequalities and Applications Volume 2010, Article ID 510838, 15 pages doi:10.1155/2010/510838 Research Article Stability Analysis for Higher-Order Adjacent Derivative

More information

ON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION. E. I. Pancheva, A. Gacovska-Barandovska

ON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION. E. I. Pancheva, A. Gacovska-Barandovska Pliska Stud. Math. Bulgar. 22 (2015), STUDIA MATHEMATICA BULGARICA ON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION E. I. Pancheva, A. Gacovska-Barandovska Smirnov (1949) derived four

More information

Gambling Systems and Multiplication-Invariant Measures

Gambling Systems and Multiplication-Invariant Measures Gambling Systems and Multiplication-Invariant Measures by Jeffrey S. Rosenthal* and Peter O. Schwartz** (May 28, 997.. Introduction. This short paper describes a surprising connection between two previously

More information

Continued Fractions and the Euclidean Algorithm

Continued Fractions and the Euclidean Algorithm Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction

More information

Lecture Notes on Measure Theory and Functional Analysis

Lecture Notes on Measure Theory and Functional Analysis Lecture Notes on Measure Theory and Functional Analysis P. Cannarsa & T. D Aprile Dipartimento di Matematica Università di Roma Tor Vergata cannarsa@mat.uniroma2.it daprile@mat.uniroma2.it aa 2006/07 Contents

More information

www.pioneermathematics.com

www.pioneermathematics.com Problems and Solutions: INMO-2012 1. Let ABCD be a quadrilateral inscribed in a circle. Suppose AB = 2+ 2 and AB subtends 135 at the centre of the circle. Find the maximum possible area of ABCD. Solution:

More information

Section 2.7 One-to-One Functions and Their Inverses

Section 2.7 One-to-One Functions and Their Inverses Section. One-to-One Functions and Their Inverses One-to-One Functions HORIZONTAL LINE TEST: A function is one-to-one if and only if no horizontal line intersects its graph more than once. EXAMPLES: 1.

More information

Math 104: Introduction to Analysis

Math 104: Introduction to Analysis Math 104: Introduction to Analysis Evan Chen UC Berkeley Notes for the course MATH 104, instructed by Charles Pugh. 1 1 August 29, 2013 Hard: #22 in Chapter 1. Consider a pile of sand principle. You wish

More information

Duality of linear conic problems

Duality of linear conic problems Duality of linear conic problems Alexander Shapiro and Arkadi Nemirovski Abstract It is well known that the optimal values of a linear programming problem and its dual are equal to each other if at least

More information

Inverse Limits, Economics, and Backward Dynamics. Judy Kennedy

Inverse Limits, Economics, and Backward Dynamics. Judy Kennedy RACSAM Rev. R. Acad. Cien. Serie A. Mat. VOL. 102 (1), 2008, pp. 39 73 Geometría y Topología / Geometry and Topology Artículo panorámico / Survey Inverse Limits, Economics, and Backward Dynamics Judy Kennedy

More information

Properties of BMO functions whose reciprocals are also BMO

Properties of BMO functions whose reciprocals are also BMO Properties of BMO functions whose reciprocals are also BMO R. L. Johnson and C. J. Neugebauer The main result says that a non-negative BMO-function w, whose reciprocal is also in BMO, belongs to p> A p,and

More information

Every tree contains a large induced subgraph with all degrees odd

Every tree contains a large induced subgraph with all degrees odd Every tree contains a large induced subgraph with all degrees odd A.J. Radcliffe Carnegie Mellon University, Pittsburgh, PA A.D. Scott Department of Pure Mathematics and Mathematical Statistics University

More information

THE BANACH CONTRACTION PRINCIPLE. Contents

THE BANACH CONTRACTION PRINCIPLE. Contents THE BANACH CONTRACTION PRINCIPLE ALEX PONIECKI Abstract. This paper will study contractions of metric spaces. To do this, we will mainly use tools from topology. We will give some examples of contractions,

More information

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2. Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given

More information

INTRODUCTORY SET THEORY

INTRODUCTORY SET THEORY M.Sc. program in mathematics INTRODUCTORY SET THEORY Katalin Károlyi Department of Applied Analysis, Eötvös Loránd University H-1088 Budapest, Múzeum krt. 6-8. CONTENTS 1. SETS Set, equal sets, subset,

More information

An algorithmic classification of open surfaces

An algorithmic classification of open surfaces An algorithmic classification of open surfaces Sylvain Maillot January 8, 2013 Abstract We propose a formulation for the homeomorphism problem for open n-dimensional manifolds and use the Kerekjarto classification

More information

NOTES ON LINEAR TRANSFORMATIONS

NOTES ON LINEAR TRANSFORMATIONS NOTES ON LINEAR TRANSFORMATIONS Definition 1. Let V and W be vector spaces. A function T : V W is a linear transformation from V to W if the following two properties hold. i T v + v = T v + T v for all

More information

CS 103X: Discrete Structures Homework Assignment 3 Solutions

CS 103X: Discrete Structures Homework Assignment 3 Solutions CS 103X: Discrete Structures Homework Assignment 3 s Exercise 1 (20 points). On well-ordering and induction: (a) Prove the induction principle from the well-ordering principle. (b) Prove the well-ordering

More information

Local periods and binary partial words: An algorithm

Local periods and binary partial words: An algorithm Local periods and binary partial words: An algorithm F. Blanchet-Sadri and Ajay Chriscoe Department of Mathematical Sciences University of North Carolina P.O. Box 26170 Greensboro, NC 27402 6170, USA E-mail:

More information

MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set.

MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set. MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set. Vector space A vector space is a set V equipped with two operations, addition V V (x,y) x + y V and scalar

More information

On the Palis Conjecture

On the Palis Conjecture On the Palis Conjecture Sebastian van Strien (Warwick) Unless stated otherwise, the results are joint with a subset of {H. Bruin, J. Rivera-Letelier, W. Shen, O Kozlovski.} January 10, 2007 1 Contents

More information

1. Let X and Y be normed spaces and let T B(X, Y ).

1. Let X and Y be normed spaces and let T B(X, Y ). Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: NVP, Frist. 2005-03-14 Skrivtid: 9 11.30 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

More information

36 CHAPTER 1. LIMITS AND CONTINUITY. Figure 1.17: At which points is f not continuous?

36 CHAPTER 1. LIMITS AND CONTINUITY. Figure 1.17: At which points is f not continuous? 36 CHAPTER 1. LIMITS AND CONTINUITY 1.3 Continuity Before Calculus became clearly de ned, continuity meant that one could draw the graph of a function without having to lift the pen and pencil. While this

More information

5.1 Derivatives and Graphs

5.1 Derivatives and Graphs 5.1 Derivatives and Graphs What does f say about f? If f (x) > 0 on an interval, then f is INCREASING on that interval. If f (x) < 0 on an interval, then f is DECREASING on that interval. A function has

More information

arxiv:math/0510680v3 [math.gn] 31 Oct 2010

arxiv:math/0510680v3 [math.gn] 31 Oct 2010 arxiv:math/0510680v3 [math.gn] 31 Oct 2010 MENGER S COVERING PROPERTY AND GROUPWISE DENSITY BOAZ TSABAN AND LYUBOMYR ZDOMSKYY Abstract. We establish a surprising connection between Menger s classical covering

More information

Math 319 Problem Set #3 Solution 21 February 2002

Math 319 Problem Set #3 Solution 21 February 2002 Math 319 Problem Set #3 Solution 21 February 2002 1. ( 2.1, problem 15) Find integers a 1, a 2, a 3, a 4, a 5 such that every integer x satisfies at least one of the congruences x a 1 (mod 2), x a 2 (mod

More information

INTRODUCTION TO DESCRIPTIVE SET THEORY

INTRODUCTION TO DESCRIPTIVE SET THEORY INTRODUCTION TO DESCRIPTIVE SET THEORY ANUSH TSERUNYAN Mathematicians in the early 20 th century discovered that the Axiom of Choice implied the existence of pathological subsets of the real line lacking

More information

Let H and J be as in the above lemma. The result of the lemma shows that the integral

Let H and J be as in the above lemma. The result of the lemma shows that the integral Let and be as in the above lemma. The result of the lemma shows that the integral ( f(x, y)dy) dx is well defined; we denote it by f(x, y)dydx. By symmetry, also the integral ( f(x, y)dx) dy is well defined;

More information

The minimum number of distinct areas of triangles determined by a set of n points in the plane

The minimum number of distinct areas of triangles determined by a set of n points in the plane The minimum number of distinct areas of triangles determined by a set of n points in the plane Rom Pinchasi Israel Institute of Technology, Technion 1 August 6, 007 Abstract We prove a conjecture of Erdős,

More information

8.1 Examples, definitions, and basic properties

8.1 Examples, definitions, and basic properties 8 De Rham cohomology Last updated: May 21, 211. 8.1 Examples, definitions, and basic properties A k-form ω Ω k (M) is closed if dω =. It is exact if there is a (k 1)-form σ Ω k 1 (M) such that dσ = ω.

More information

Quotient Rings and Field Extensions

Quotient Rings and Field Extensions Chapter 5 Quotient Rings and Field Extensions In this chapter we describe a method for producing field extension of a given field. If F is a field, then a field extension is a field K that contains F.

More information

ON THE NUMBER OF REAL HYPERSURFACES HYPERTANGENT TO A GIVEN REAL SPACE CURVE

ON THE NUMBER OF REAL HYPERSURFACES HYPERTANGENT TO A GIVEN REAL SPACE CURVE Illinois Journal of Mathematics Volume 46, Number 1, Spring 2002, Pages 145 153 S 0019-2082 ON THE NUMBER OF REAL HYPERSURFACES HYPERTANGENT TO A GIVEN REAL SPACE CURVE J. HUISMAN Abstract. Let C be a

More information

Erdős on polynomials

Erdős on polynomials Erdős on polynomials Vilmos Totik University of Szeged and University of South Florida totik@mail.usf.edu Vilmos Totik (SZTE and USF) Polynomials 1 / * Erdős on polynomials Vilmos Totik (SZTE and USF)

More information

The Henstock-Kurzweil-Stieltjes type integral for real functions on a fractal subset of the real line

The Henstock-Kurzweil-Stieltjes type integral for real functions on a fractal subset of the real line The Henstock-Kurzweil-Stieltjes type integral for real functions on a fractal subset of the real line D. Bongiorno, G. Corrao Dipartimento di Ingegneria lettrica, lettronica e delle Telecomunicazioni,

More information

1 Norms and Vector Spaces

1 Norms and Vector Spaces 008.10.07.01 1 Norms and Vector Spaces Suppose we have a complex vector space V. A norm is a function f : V R which satisfies (i) f(x) 0 for all x V (ii) f(x + y) f(x) + f(y) for all x,y V (iii) f(λx)

More information

Finite dimensional topological vector spaces

Finite dimensional topological vector spaces Chapter 3 Finite dimensional topological vector spaces 3.1 Finite dimensional Hausdorff t.v.s. Let X be a vector space over the field K of real or complex numbers. We know from linear algebra that the

More information

8 Fractals: Cantor set, Sierpinski Triangle, Koch Snowflake, fractal dimension.

8 Fractals: Cantor set, Sierpinski Triangle, Koch Snowflake, fractal dimension. 8 Fractals: Cantor set, Sierpinski Triangle, Koch Snowflake, fractal dimension. 8.1 Definitions Definition If every point in a set S has arbitrarily small neighborhoods whose boundaries do not intersect

More information

Lecture 4: BK inequality 27th August and 6th September, 2007

Lecture 4: BK inequality 27th August and 6th September, 2007 CSL866: Percolation and Random Graphs IIT Delhi Amitabha Bagchi Scribe: Arindam Pal Lecture 4: BK inequality 27th August and 6th September, 2007 4. Preliminaries The FKG inequality allows us to lower bound

More information

Notes on Continuous Random Variables

Notes on Continuous Random Variables Notes on Continuous Random Variables Continuous random variables are random quantities that are measured on a continuous scale. They can usually take on any value over some interval, which distinguishes

More information

A ProblemText in Advanced Calculus. John M. Erdman Portland State University. Version July 1, 2014

A ProblemText in Advanced Calculus. John M. Erdman Portland State University. Version July 1, 2014 A ProblemText in Advanced Calculus John M. Erdman Portland State University Version July 1, 2014 c 2005 John M. Erdman E-mail address: erdman@pdx.edu. ii To Argentina Contents PREFACE FOR STUDENTS: HOW

More information

CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e.

CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. This chapter contains the beginnings of the most important, and probably the most subtle, notion in mathematical analysis, i.e.,

More information

Calculus with Parametric Curves

Calculus with Parametric Curves Calculus with Parametric Curves Suppose f and g are differentiable functions and we want to find the tangent line at a point on the parametric curve x f(t), y g(t) where y is also a differentiable function

More information

0 <β 1 let u(x) u(y) kuk u := sup u(x) and [u] β := sup

0 <β 1 let u(x) u(y) kuk u := sup u(x) and [u] β := sup 456 BRUCE K. DRIVER 24. Hölder Spaces Notation 24.1. Let Ω be an open subset of R d,bc(ω) and BC( Ω) be the bounded continuous functions on Ω and Ω respectively. By identifying f BC( Ω) with f Ω BC(Ω),

More information

MATH 10: Elementary Statistics and Probability Chapter 5: Continuous Random Variables

MATH 10: Elementary Statistics and Probability Chapter 5: Continuous Random Variables MATH 10: Elementary Statistics and Probability Chapter 5: Continuous Random Variables Tony Pourmohamad Department of Mathematics De Anza College Spring 2015 Objectives By the end of this set of slides,

More information

Stationary random graphs on Z with prescribed iid degrees and finite mean connections

Stationary random graphs on Z with prescribed iid degrees and finite mean connections Stationary random graphs on Z with prescribed iid degrees and finite mean connections Maria Deijfen Johan Jonasson February 2006 Abstract Let F be a probability distribution with support on the non-negative

More information

1 The Concept of a Mapping

1 The Concept of a Mapping Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan 1 The Concept of a Mapping The concept of a mapping (aka function) is important throughout mathematics. We have been dealing

More information