MT 855: Graduate Combinatorics
|
|
- Sheila Simon
- 5 years ago
- Views:
Transcription
1 MT 855: Graduate Combinatorics Lecture 24: News Flash: the chromatic number of the plane is at least 5 We interrupt this regularly scheduled lecture series in order to bring the latest news: the chromatic number of the plane is at least five! Let s describe what the problem is and its history a little bit; we ll also tie it into some of our recent discussion using the linear algebra method. Historical progress. In 1950, Edward Nelson, who was then a graduate student, raised an innocuous-sounding problem: suppose that we color the points of the plane subject to the rule that points at distance one apart get different colors. How many colors are required to do so? The presence of an equilateral triangle of side-length 1 immediately shows that at least three colors are required, but further thought is required in order to see whether more are required, or that a finite number suffice. Before more ideas, here is some more formal language. The unit distance graph is the graph G = (V, E) with vertex set V = R 2 and edge set E consisting of pairs of points at a unit distance apart. Nelson s question is to determine the chromatic number of this graph. This value is often called the chromatic number of the plane and denoted χ(r 2 ). The same problem was taken up by Hugo Hadwiger in Switzerland at around the same time, and so this problem is often dubbed the Hadwiger-Nelson problem. The best bounds on χ(r 2 ) were determined in the same year that Nelson raised the problem until just a few weeks ago! Let s first survey the early progress on this problem. The brothers Moser did a little better than the equilateral triangle to show that χ(r 2 ) 4. Here is what they did. Take an equilateral triangle, and glue another one onto it that shares a common edge. In any three-coloring of this 4-vertex graph, the points A and B at distance 3 apart have to get the same color. Now rotate this configuration about A until B swings out to a new point C at distance 1 from where it began. The union of these two configurations is now a 7-vertex subgraph of the unit distance graph called the Moser spindle. By what we have argued, in any 3-coloring of the Moser spindle, A and B have to get the same color, and A and C have to get the same color; but then B and C have the same color and lie at a unit distance apart, violating χ(r 2 ) = 3. Therefore, χ(r 2 ) 4, and we have said a little bit more: namely, that R 2 contains a finite subgraph of chromatic number 4. We will return to this point in a little while. To see that a finite number of colors suffice to color the plane, we begin with a square tiling of the plane of side length d to be determined. We will give all of the points of a given square the same color. So long as the diameter of a square is < 1, we can do this without creating a pair of points the same color at a unit distance in a given square. However, we must take care in how we color different squares. We color a 3 3 arrangement of squares by painting all of the points of each square one color, using nine different colors total (and giving points on the shared boundary of two different squares one of the colors of an adjacent square). We then copy this 3 3 coloring template onto the plane. Note that the 9 color classes are translates of one another. For a fixed color class, a pair of points of that color in different squares lie at distance 2d apart. Therefore, so long as we can arrange that d 2 < 1 and 2d > 1, then we get a 9-coloring of the plane. Taking d = 0.6 will do. In fact, using a tiling by hexagons, we can do even better and show that χ(r 2 ) 7. 1
2 2 The news. Thus, we have argued that 4 χ(r 2 ) 7, and that is where things stood until the following breakthrough: Theorem 0.1 (de Grey (2018)). There exists a finite subgraph N of the unit distance graph for which χ(n) 5. Thus, χ(r 2 ) 5. This result has generated quite a bit of publicity recently, including on Tao s blog and in a Quanta magazine article. On the human interest side, Aubrey D.N.J. de Grey is 55 years old and is an amateur mathematician. He is spearheading an effort to extend human longevity through gene therapy. He contends that the science exists to extend the human lifespan by decades and potentially indefinitely. He has also thought seriously about the philosophical questions about whether this should be done. de Grey s original construction of an N as in Theorem 0.1 requires 20, 245 vertices and a computer to check that it is not 4-colorable. He managed to reduce the size of his construction. Along with Dustin Mixon, he has initiated a PolyMath project to produce even smaller examples. This is an open project that anyone can jump onto to contribute their ideas. The record from a couple of days ago (as of the time of this writing) has 826 vertices, which still takes a computer to check is not 4-colorable. It would be fascinating to give N of any size with a short (human-readable) proof that χ(n) 5. We will describe de Grey s approach in the next lecture. It is easy to understand, based on a very natural idea, and, we may say, it succeeds with a fair dose of luck. Before that, let us address an important feature of the problem. This has to do with χ(r 2 ) versus the chromatic number of its finite subgraphs, an issue that arose earlier when we discussed Borsuk s graphs. Coloring infinite graphs. Suppose that G is an infinite graph, and that χ(g) = t, for some positive integer t. Does it follow that G contains a finite subgraph H such that χ(h) = t? Equivalently, suppose that all of the finite subgraphs of G are k-colorable; does it follow that G itself is k-colorable? Indeed, this is the case, with a caveat that we shall discuss after the proof see whether you can figure out what it is. Theorem 0.2 (Erdős - de Bruijn (1951)). A graph is k-colorable if all of its finite subgraphs are. The proof harkens back to material you learned in point-set topology. Proof. Let G = (V, E) be a graph. We are interested in the set Col G,k of k-colorings of G; in particular, we want to show that this set is non-empty. A k-coloring of G is, firstly, a special kind of mapping from V to a color set of size k, which we may take to be {1,..., k} for concreteness. We can denote the set of all such by X G,k = {f : V {1,..., k}} = {1,..., k} V = v V {1,..., k}. The set of functions is naturally a topological space, and this will be critical in arguing that the subset Col G,k X G,k is non-empty. To describe the topology, we give the set {1,..., k}
3 the discrete topology and X G,k the product topology. Thus, X G,k has a basis of open sets given by v V U v, where U v is a subset of the copy of {1,..., k} indexed by v. How does the condition on a k-coloring manifest? We wish to enforce the condition that f(x) f(y) whenever x y. To that end, for each edge e = (x, y) E, we introduce a set F e = {f X G,k f(x) f(y)}. This set is a closed set. In fact, its complement is the union, from j = 1,..., k, of U j = {f X G,k f(x) = f(y) = j}. Each U j is a basic open set, because it is the product of {1,..., k} for each v x, y and {j} for v = x, y. Thus, F e is closed. The set Col G,k is the intersection of all of the F e, e E. We need to show that this intersection is non-empty, assuming that all of the finite subgraphs of G are k-colorable. If we select finitely many e E, then their union spans a finite subgraph H G. By the assumption, this subgraph is k-colorable. A k-coloring of it (extended arbitrarily to the vertices of G not appearing in H) therefore defines an element of the intersection of these finitely many F e. Consequently, this family of closed sets F e, e E, has the finite intersection property: any finite intersection of them is non-empty. It follows that the intersection of all of the F e, e E, is non-empty, and a point in the intersection is a k-coloring of G. There is an important ingredient in the proof that went unmentioned. It is not true that every collection of closed sets in a topological space that has the finite intersection property always has a non-empty intersection. For instance, in X = (0, 1], if we let F n = (0, 1/n], then these sets are closed and have the finite intersection property, but their total intersection is empty. The issue is that X is not compact. However, the set X G,k used above is compact... isn t it? Each productand {1,..., k} is compact, and the Tychonoff theorem therefore implies that X G,k is assuming the Axiom of Choice. Therefore, the above proof holds, subject to the caveat that we assume the Axiom of Choice. This feature of infinite graph coloring has led some people to speculate that the value of χ(r 2 ) could depend on the logical axioms. It could be that, without the Axiom of Choice, the value of χ(r 2 ) is different from the maximum value of χ(h) taken over all finite subgraphs H R 2. A cautionary example. In fact, the following example, due to Saharon Shelah and Alexander Soifer, is a fairly innocuous-looking example of a graph whose chromatic number depends on the axiom system that gets used. I learned about it from Jacob Fox when I was in graduate school. The relevant graph G has vertex set equal to the real line and edge set consisting of pairs of points that differ by an amount of the form a + b 2, where a and b are integers of opposite parity. This graph does not contain any odd cycles. For suppose that x 1,..., x k were a cycle in the graph. Write each difference x j+1 x j = a j + b j 2 for j = 1,..., k, indices (mod k), where a j and b j are integers of opposite parity. The sum of all of these differences is 0, since the x i form a cycle, and on the other hand it adds to a + b 2, where a is the sum of the a j s and b is the sum of the b j s. The only way we could have 0 = a + b 2 is for a = b = 0, since 2 is irrational. In particular, 0 a + b k j=1 (a j + b j ) k 1 k (mod 2) shows that k is even, establishing the claim about cycle lengths. It follows that all 3
4 4 of the finite subgraphs of this graph are 2-colorable. Assuming the axiom of choice, it follows that G itself is 2-colorable. However, there is another way to complete ZFC to an axiomatic system in which the axiom of choice does not hold, but for for which every subset of the real line has a positive Lebesgue measure. (You should recall that one of the first amazing facts from measure theory is that, assuming the axiom of choice, there exist non-measurable subsets of R.) Under these axioms, it is not even possible to color G using countably many colors! For suppose we countably-color G. Then one of the color classes C has a positive Lebesgue measure. A lemma in measure theory implies that there exists a small ɛ > 0 with the property that for all δ < ɛ, there exists a pair of points in C at distance δ apart. Since the set a + b 2 with a and b integers of opposite parity is dense in R, it follows that C contains a pair of endpoints of an edge in G. Actually, it is even easier to describe a graph whose chromatic number depends on whether or not one assumes the Axiom of Choice. Consider the graph consisting of a disjoint union of uncountably many edges {(x α, y α )}, where α ranges over an uncountable index set A. Twocoloring this graph is equivalent to selecting a point from the product α A {x α, y α }, which in turn is equivalent to the Axiom of Choice. Thus, the graph has chromatic number two iff the Axiom of Choice holds. The first example mainly serves to indicate that a graph whose description is not so far off from the unit distance graph is known to has a chromatic number which behaves very differently depending on the axioms used; so perhaps the same could hold for the unit distance graph. Therefore, it is particularly satisfying that de Grey s theorem asserts the existence of a finite subgraph of R 2 that has chromatic number 5. However, for all we know still, if we accept an axiomatic system in which all subsets of R 2 have a Lebesgue measure, then it could well be that all finite subgraphs of R 2 are 5-colorable, yet R 2 is not. Along these lines, there is an interesting complement. Consider the variation on coloring the unit distance graph, where the color classes are required to be Lebesgue measurable subsets of R 2 and where we furthermore accept the Axiom of Choice. This variation leads us to definite the measurable chromatic number of the plane, χ meas (R 2 ). For instance, our 9- and 7-colorings from earlier (can be made to) use measurable color classes, and so χ meas (R 2 ) 7. Falconer proved in 1981 that χ meas (R 2 ) 5. The proof uses some basic measure theory having to do with density points. Thus, de Grey s result can be read as an improvement on Falconer s. de Grey s work has generated some speculation that perhaps we can improve the lower bound on χ meas (R 2 ) to 6, although it is not clear how to adapt de Grey s ideas to this setting quite yet. The chromatic number of Euclidean space. To conclude, let us consider another natural generalization of the problem under consideration to n-dimensional Euclidean space. We can define the unit distance graph in this setting just as before, replacing R 2 by R n, and write χ(r n ) for the chromatic number of n-dimensional Euclidean space. How does this function grow with n? A naïve construction based on a tiling by cubes shows that χ(r n ) n n. A somewhat smarter approach yields χ(r n ) 9 n, which you can consider for homework. Is the growth of χ(r n ) truly exponential in n? Indeed it is:
5 Theorem 0.3 (Frankl - Wilson (1981)). χ(r n ) > (1.1) n ; moreover, there exists a finite subgraph X R n with χ(x) > (1.1) n. This is not the first time that we have seen 1.1 and in fact, the construction will not surprise you at all, as it ties in beautifully with our recent work. Proof. We just prove the theorem for some special values of n; the extension to all n follows from some properties of prime numbers, like the Prime Number Theorem, or even just Bertrand s postulate. Thus, suppose that n = 4p, where p is a prime number. Let X be the set of indicator vectors of subsets A {1,..., n} of cardinality 2p 1, scaled by 1/ 2p, for good luck; so elements of X are vectors with entries 0 and 1/ 2p, with 2p + 1 of the former and 2p 1 of the latter. Suppose that we color R n with (1.1) n or fewer colors. Then one of the color classes meets X in a subset of size at least X /(1.1) n = ( n 2p 1) /(1.1) n. By an earlier estimate, this value is larger than ( ( n 0) + n ) ( n p 1). Hence, the Ray-Chaudhuri Wilson theorem the idea that keeps giving guarantees that this subset of X contains a pair of vectors (1/ 2p)v A and (1/ 2p)v B for which A B = p 1. The squared-distance between them equals dist( 1 2p v A, 1 2p v B ) 2 = (1/2p)( v A 2 2v A v B + v B 2 ) = (1/2p)(2p 1 2(p 1)+2p 1) = 1. Hence, if we color R n with (1.1) n or fewer colors, then there exists a pair of points (in X) of the same color at a unit distance apart. Notice the remarkable similarity between this construction and the one used a dozen years later by Kahn and Kalai to disprove Borsuk s conjecture. Perhaps the overarching theme of the lecture is that sometimes simple and natural ideas take a long time to develop! 5
The Frankl-Wilson theorem and some consequences in Ramsey theory and combinatorial geometry
The Frankl-Wilson theorem and some consequences in Ramsey theory and combinatorial geometry Lectures 1-5 We first consider one of the most beautiful applications of the linear independence method. Our
More informationAxiom of choice and chromatic number of R n
Journal of Combinatorial Theory, Series A 110 (2005) 169 173 www.elsevier.com/locate/jcta Note Axiom of choice and chromatic number of R n Alexander Soifer a,b,1 a Princeton University, Mathematics, DIMACS,
More informationJeong-Hyun Kang Department of Mathematics, University of West Georgia, Carrollton, GA
#A33 INTEGERS 10 (2010), 379-392 DISTANCE GRAPHS FROM P -ADIC NORMS Jeong-Hyun Kang Department of Mathematics, University of West Georgia, Carrollton, GA 30118 jkang@westga.edu Hiren Maharaj Department
More information1 The Local-to-Global Lemma
Point-Set Topology Connectedness: Lecture 2 1 The Local-to-Global Lemma In the world of advanced mathematics, we are often interested in comparing the local properties of a space to its global properties.
More informationREU 2007 Transfinite Combinatorics Lecture 9
REU 2007 Transfinite Combinatorics Lecture 9 Instructor: László Babai Scribe: Travis Schedler August 10, 2007. Revised by instructor. Last updated August 11, 3:40pm Note: All (0, 1)-measures will be assumed
More informationEuclidean Szlam Numbers. Christopher Ryan Krizan
Euclidean Szlam Numbers by Christopher Ryan Krizan A dissertation submitted to the Graduate Faculty of Auburn University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy
More informationTopology Homework Assignment 1 Solutions
Topology Homework Assignment 1 Solutions 1. Prove that R n with the usual topology satisfies the axioms for a topological space. Let U denote the usual topology on R n. 1(a) R n U because if x R n, then
More informationOne-to-one functions and onto functions
MA 3362 Lecture 7 - One-to-one and Onto Wednesday, October 22, 2008. Objectives: Formalize definitions of one-to-one and onto One-to-one functions and onto functions At the level of set theory, there are
More informationClassifying classes of structures in model theory
Classifying classes of structures in model theory Saharon Shelah The Hebrew University of Jerusalem, Israel, and Rutgers University, NJ, USA ECM 2012 Saharon Shelah (HUJI and Rutgers) Classifying classes
More informationSolutions to Tutorial 8 (Week 9)
The University of Sydney School of Mathematics and Statistics Solutions to Tutorial 8 (Week 9) MATH3961: Metric Spaces (Advanced) Semester 1, 2018 Web Page: http://www.maths.usyd.edu.au/u/ug/sm/math3961/
More informationSETS AND FUNCTIONS JOSHUA BALLEW
SETS AND FUNCTIONS JOSHUA BALLEW 1. Sets As a review, we begin by considering a naive look at set theory. For our purposes, we define a set as a collection of objects. Except for certain sets like N, Z,
More informationCLASS NOTES FOR APRIL 14, 2000
CLASS NOTES FOR APRIL 14, 2000 Announcement: Section 1.2, Questions 3,5 have been deferred from Assignment 1 to Assignment 2. Section 1.4, Question 5 has been dropped entirely. 1. Review of Wednesday class
More informationMulti-coloring and Mycielski s construction
Multi-coloring and Mycielski s construction Tim Meagher Fall 2010 Abstract We consider a number of related results taken from two papers one by W. Lin [1], and the other D. C. Fisher[2]. These articles
More information18.175: Lecture 2 Extension theorems, random variables, distributions
18.175: Lecture 2 Extension theorems, random variables, distributions Scott Sheffield MIT Outline Extension theorems Characterizing measures on R d Random variables Outline Extension theorems Characterizing
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 informationGraph coloring, perfect graphs
Lecture 5 (05.04.2013) Graph coloring, perfect graphs Scribe: Tomasz Kociumaka Lecturer: Marcin Pilipczuk 1 Introduction to graph coloring Definition 1. Let G be a simple undirected graph and k a positive
More informationIn N we can do addition, but in order to do subtraction we need to extend N to the integers
Chapter The Real Numbers.. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {, 2, 3, }. In N we can do addition, but in order to do subtraction we need to extend
More informationPOL502: Foundations. Kosuke Imai Department of Politics, Princeton University. October 10, 2005
POL502: Foundations Kosuke Imai Department of Politics, Princeton University October 10, 2005 Our first task is to develop the foundations that are necessary for the materials covered in this course. 1
More informationFilters in Analysis and Topology
Filters in Analysis and Topology David MacIver July 1, 2004 Abstract The study of filters is a very natural way to talk about convergence in an arbitrary topological space, and carries over nicely into
More informationCHAPTER 7. Connectedness
CHAPTER 7 Connectedness 7.1. Connected topological spaces Definition 7.1. A topological space (X, T X ) is said to be connected if there is no continuous surjection f : X {0, 1} where the two point set
More informationRamsey Theory. May 24, 2015
Ramsey Theory May 24, 2015 1 König s Lemma König s Lemma is a basic tool to move between finite and infinite combinatorics. To be concise, we use the notation [k] = {1, 2,..., k}, and [X] r will denote
More informationChapter 1 The Real Numbers
Chapter 1 The Real Numbers In a beginning course in calculus, the emphasis is on introducing the techniques of the subject;i.e., differentiation and integration and their applications. An advanced calculus
More information5 Set Operations, Functions, and Counting
5 Set Operations, Functions, and Counting Let N denote the positive integers, N 0 := N {0} be the non-negative integers and Z = N 0 ( N) the positive and negative integers including 0, Q the rational numbers,
More informationNote on the chromatic number of the space
Note on the chromatic number of the space Radoš Radoičić Géza Tóth Abstract The chromatic number of the space is the minimum number of colors needed to color the points of the space so that every two points
More informationMATH 521, WEEK 2: Rational and Real Numbers, Ordered Sets, Countable Sets
MATH 521, WEEK 2: Rational and Real Numbers, Ordered Sets, Countable Sets 1 Rational and Real Numbers Recall that a number is rational if it can be written in the form a/b where a, b Z and b 0, and a number
More information0 Logical Background. 0.1 Sets
0 Logical Background 0.1 Sets In this course we will use the term set to simply mean a collection of things which have a common property such as the totality of positive integers or the collection of points
More informationAcyclic subgraphs with high chromatic number
Acyclic subgraphs with high chromatic number Safwat Nassar Raphael Yuster Abstract For an oriented graph G, let f(g) denote the maximum chromatic number of an acyclic subgraph of G. Let f(n) be the smallest
More informationThe chromatic number of ordered graphs with constrained conflict graphs
AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 69(1 (017, Pages 74 104 The chromatic number of ordered graphs with constrained conflict graphs Maria Axenovich Jonathan Rollin Torsten Ueckerdt Department
More informationDO FIVE OUT OF SIX ON EACH SET PROBLEM SET
DO FIVE OUT OF SIX ON EACH SET PROBLEM SET 1. THE AXIOM OF FOUNDATION Early on in the book (page 6) it is indicated that throughout the formal development set is going to mean pure set, or set whose elements,
More informationMATH 220 (all sections) Homework #12 not to be turned in posted Friday, November 24, 2017
MATH 220 (all sections) Homework #12 not to be turned in posted Friday, November 24, 2017 Definition: A set A is finite if there exists a nonnegative integer c such that there exists a bijection from A
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 informationIndeed, if we want m to be compatible with taking limits, it should be countably additive, meaning that ( )
Lebesgue Measure The idea of the Lebesgue integral is to first define a measure on subsets of R. That is, we wish to assign a number m(s to each subset S of R, representing the total length that S takes
More informationOn the intersection of infinite matroids
On the intersection of infinite matroids Elad Aigner-Horev Johannes Carmesin Jan-Oliver Fröhlich University of Hamburg 9 July 2012 Abstract We show that the infinite matroid intersection conjecture of
More informationStat 451: Solutions to Assignment #1
Stat 451: Solutions to Assignment #1 2.1) By definition, 2 Ω is the set of all subsets of Ω. Therefore, to show that 2 Ω is a σ-algebra we must show that the conditions of the definition σ-algebra are
More informationConnectedness. Proposition 2.2. The following are equivalent for a topological space (X, T ).
Connectedness 1 Motivation Connectedness is the sort of topological property that students love. Its definition is intuitive and easy to understand, and it is a powerful tool in proofs of well-known results.
More informationIn N we can do addition, but in order to do subtraction we need to extend N to the integers
Chapter 1 The Real Numbers 1.1. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {1, 2, 3, }. In N we can do addition, but in order to do subtraction we need
More informationProbabilistic Proofs of Existence of Rare Events. Noga Alon
Probabilistic Proofs of Existence of Rare Events Noga Alon Department of Mathematics Sackler Faculty of Exact Sciences Tel Aviv University Ramat-Aviv, Tel Aviv 69978 ISRAEL 1. The Local Lemma In a typical
More informationProblem set 1, Real Analysis I, Spring, 2015.
Problem set 1, Real Analysis I, Spring, 015. (1) Let f n : D R be a sequence of functions with domain D R n. Recall that f n f uniformly if and only if for all ɛ > 0, there is an N = N(ɛ) so that if n
More informationThe Odd-Distance Plane Graph
Discrete Comput Geom 009) 4: 13 141 DOI 10.1007/s00454-009-9190- The Odd-Distance Plane Graph Hayri Ardal Ján Maňuch Moshe Rosenfeld Saharon Shelah Ladislav Stacho Received: 11 November 007 / Revised:
More informationHomework 1 2/7/2018 SOLUTIONS Exercise 1. (a) Graph the following sets (i) C = {x R x in Z} Answer:
Homework 1 2/7/2018 SOLTIONS Eercise 1. (a) Graph the following sets (i) C = { R in Z} nswer: 0 R (ii) D = {(, y), y in R,, y 2}. nswer: = 2 y y = 2 (iii) C C nswer: y 1 2 (iv) (C C) D nswer: = 2 y y =
More informationThe Chromatic Number of Ordered Graphs With Constrained Conflict Graphs
The Chromatic Number of Ordered Graphs With Constrained Conflict Graphs Maria Axenovich and Jonathan Rollin and Torsten Ueckerdt September 3, 016 Abstract An ordered graph G is a graph whose vertex set
More informationProofs. Chapter 2 P P Q Q
Chapter Proofs In this chapter we develop three methods for proving a statement. To start let s suppose the statement is of the form P Q or if P, then Q. Direct: This method typically starts with P. Then,
More informationMath 105A HW 1 Solutions
Sect. 1.1.3: # 2, 3 (Page 7-8 Math 105A HW 1 Solutions 2(a ( Statement: Each positive integers has a unique prime factorization. n N: n = 1 or ( R N, p 1,..., p R P such that n = p 1 p R and ( n, R, S
More informationProblem Set 2: Solutions Math 201A: Fall 2016
Problem Set 2: s Math 201A: Fall 2016 Problem 1. (a) Prove that a closed subset of a complete metric space is complete. (b) Prove that a closed subset of a compact metric space is compact. (c) Prove that
More informationSets are one of the basic building blocks for the types of objects considered in discrete mathematics.
Section 2.1 Introduction Sets are one of the basic building blocks for the types of objects considered in discrete mathematics. Important for counting. Programming languages have set operations. Set theory
More informationSum-free sets. Peter J. Cameron University of St Andrews
Sum-free sets Peter J. Cameron University of St Andrews Topological dynamics, functional equations, infinite combinatorics and probability LSE, June 2017 Three theorems A set of natural numbers is k-ap-free
More informationSum-free sets. Peter J. Cameron University of St Andrews
Sum-free sets Peter J. Cameron University of St Andrews Topological dynamics, functional equations, infinite combinatorics and probability LSE, June 2017 Three theorems The missing fourth? A set of natural
More informationWhat is model theory?
What is Model Theory? Michael Lieberman Kalamazoo College Math Department Colloquium October 16, 2013 Model theory is an area of mathematical logic that seeks to use the tools of logic to solve concrete
More informationSolutions to Unique Readability Homework Set 30 August 2011
s to Unique Readability Homework Set 30 August 2011 In the problems below L is a signature and X is a set of variables. Problem 0. Define a function λ from the set of finite nonempty sequences of elements
More informationNAME: Mathematics 205A, Fall 2008, Final Examination. Answer Key
NAME: Mathematics 205A, Fall 2008, Final Examination Answer Key 1 1. [25 points] Let X be a set with 2 or more elements. Show that there are topologies U and V on X such that the identity map J : (X, U)
More informationChapter 1 : The language of mathematics.
MAT 200, Logic, Language and Proof, Fall 2015 Summary Chapter 1 : The language of mathematics. Definition. A proposition is a sentence which is either true or false. Truth table for the connective or :
More informationSets, Structures, Numbers
Chapter 1 Sets, Structures, Numbers Abstract In this chapter we shall introduce most of the background needed to develop the foundations of mathematical analysis. We start with sets and algebraic structures.
More informationCycles with consecutive odd lengths
Cycles with consecutive odd lengths arxiv:1410.0430v1 [math.co] 2 Oct 2014 Jie Ma Department of Mathematical Sciences, Carnegie Mellon University, Pittsburgh, PA 15213. Abstract It is proved that there
More informationAhlswede Khachatrian Theorems: Weighted, Infinite, and Hamming
Ahlswede Khachatrian Theorems: Weighted, Infinite, and Hamming Yuval Filmus April 4, 2017 Abstract The seminal complete intersection theorem of Ahlswede and Khachatrian gives the maximum cardinality of
More informationTheorem. For every positive integer n, the sum of the positive integers from 1 to n is n(n+1)
Week 1: Logic Lecture 1, 8/1 (Sections 1.1 and 1.3) Examples of theorems and proofs Theorem (Pythagoras). Let ABC be a right triangle, with legs of lengths a and b, and hypotenuse of length c. Then a +
More informationAfter taking the square and expanding, we get x + y 2 = (x + y) (x + y) = x 2 + 2x y + y 2, inequality in analysis, we obtain.
Lecture 1: August 25 Introduction. Topology grew out of certain questions in geometry and analysis about 100 years ago. As Wikipedia puts it, the motivating insight behind topology is that some geometric
More informationDavid A. Meyer Project in Geometry and Physics, Department of Mathematics University of California/San Diego, La Jolla, CA
David A. Meyer Project in Geometry and Physics, Department of Mathematics University of California/San Diego, La Jolla, CA 92093-0112 dmeyer@math.ucsd.edu; http://math.ucsd.edu/ ~ dmeyer Undergraduate
More informationNotes on the Point-Set Topology of R Northwestern University, Fall 2014
Notes on the Point-Set Topology of R Northwestern University, Fall 2014 These notes give an introduction to the notions of open and closed subsets of R, which belong to the subject known as point-set topology.
More informationSets, Models and Proofs. I. Moerdijk and J. van Oosten Department of Mathematics Utrecht University
Sets, Models and Proofs I. Moerdijk and J. van Oosten Department of Mathematics Utrecht University 2000; revised, 2006 Contents 1 Sets 1 1.1 Cardinal Numbers........................ 2 1.1.1 The Continuum
More informationThe Banach-Tarski paradox
The Banach-Tarski paradox 1 Non-measurable sets In these notes I want to present a proof of the Banach-Tarski paradox, a consequence of the axiom of choice that shows us that a naive understanding of the
More informationRandom Lifts of Graphs
27th Brazilian Math Colloquium, July 09 Plan of this talk A brief introduction to the probabilistic method. A quick review of expander graphs and their spectrum. Lifts, random lifts and their properties.
More informationMath Real Analysis
1 / 28 Math 370 - Real Analysis G.Pugh Sep 3 2013 Real Analysis 2 / 28 3 / 28 What is Real Analysis? Wikipedia: Real analysis... has its beginnings in the rigorous formulation of calculus. It is a branch
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 informationProofs. Chapter 2 P P Q Q
Chapter Proofs In this chapter we develop three methods for proving a statement. To start let s suppose the statement is of the form P Q or if P, then Q. Direct: This method typically starts with P. Then,
More informationHomework 11. Solutions
Homework 11. Solutions Problem 2.3.2. Let f n : R R be 1/n times the characteristic function of the interval (0, n). Show that f n 0 uniformly and f n µ L = 1. Why isn t it a counterexample to the Lebesgue
More informationMAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9
MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended
More informationPart V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory
Part V 7 Introduction: What are measures and why measurable sets Lebesgue Integration Theory Definition 7. (Preliminary). A measure on a set is a function :2 [ ] such that. () = 2. If { } = is a finite
More informationCITS2211 Discrete Structures (2017) Cardinality and Countability
CITS2211 Discrete Structures (2017) Cardinality and Countability Highlights What is cardinality? Is it the same as size? Types of cardinality and infinite sets Reading Sections 45 and 81 84 of Mathematics
More informationMath 3361-Modern Algebra Lecture 08 9/26/ Cardinality
Math 336-Modern Algebra Lecture 08 9/26/4. Cardinality I started talking about cardinality last time, and you did some stuff with it in the Homework, so let s continue. I said that two sets have the same
More information1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3
Index Page 1 Topology 2 1.1 Definition of a topology 2 1.2 Basis (Base) of a topology 2 1.3 The subspace topology & the product topology on X Y 3 1.4 Basic topology concepts: limit points, closed sets,
More informationFootnotes to Linear Algebra (MA 540 fall 2013), T. Goodwillie, Bases
Footnotes to Linear Algebra (MA 540 fall 2013), T. Goodwillie, Bases November 18, 2013 1 Spanning and linear independence I will outline a slightly different approach to the material in Chapter 2 of Axler
More informationSOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 1. I. Foundational material
SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 1 Fall 2014 I. Foundational material I.1 : Basic set theory Problems from Munkres, 9, p. 64 2. (a (c For each of the first three parts, choose a 1 1 correspondence
More informationLebesgue Measure. Dung Le 1
Lebesgue Measure Dung Le 1 1 Introduction How do we measure the size of a set in IR? Let s start with the simplest ones: intervals. Obviously, the natural candidate for a measure of an interval is its
More informationTHE CANTOR GAME: WINNING STRATEGIES AND DETERMINACY. by arxiv: v1 [math.ca] 29 Jan 2017 MAGNUS D. LADUE
THE CANTOR GAME: WINNING STRATEGIES AND DETERMINACY by arxiv:170109087v1 [mathca] 9 Jan 017 MAGNUS D LADUE 0 Abstract In [1] Grossman Turett define the Cantor game In [] Matt Baker proves several results
More informationDef. A topological space X is disconnected if it admits a non-trivial splitting: (We ll abbreviate disjoint union of two subsets A and B meaning A B =
CONNECTEDNESS-Notes Def. A topological space X is disconnected if it admits a non-trivial splitting: X = A B, A B =, A, B open in X, and non-empty. (We ll abbreviate disjoint union of two subsets A and
More informationABSTRACT INTEGRATION CHAPTER ONE
CHAPTER ONE ABSTRACT INTEGRATION Version 1.1 No rights reserved. Any part of this work can be reproduced or transmitted in any form or by any means. Suggestions and errors are invited and can be mailed
More informationTopology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA address:
Topology Xiaolong Han Department of Mathematics, California State University, Northridge, CA 91330, USA E-mail address: Xiaolong.Han@csun.edu Remark. You are entitled to a reward of 1 point toward a homework
More informationMORE ON CONTINUOUS FUNCTIONS AND SETS
Chapter 6 MORE ON CONTINUOUS FUNCTIONS AND SETS This chapter can be considered enrichment material containing also several more advanced topics and may be skipped in its entirety. You can proceed directly
More informationPigeonhole Principle and Ramsey Theory
Pigeonhole Principle and Ramsey Theory The Pigeonhole Principle (PP) has often been termed as one of the most fundamental principles in combinatorics. The familiar statement is that if we have n pigeonholes
More informationATLANTA LECTURE SERIES In Combinatorics and Graph Theory (XIX)
ATLANTA LECTURE SERIES In Combinatorics and Graph Theory (XIX) April 22-23, 2017 GEORGIA STATE UNIVERSITY Department of Mathematics and Statistics Sponsored by National Security Agency and National Science
More information1 Continued Fractions
Continued Fractions To start off the course, we consider a generalization of the Euclidean Algorithm which has ancient historical roots and yet still has relevance and applications today.. Continued Fraction
More informationOn the chromatic number and independence number of hypergraph products
On the chromatic number and independence number of hypergraph products Dhruv Mubayi Vojtĕch Rödl January 10, 2004 Abstract The hypergraph product G H has vertex set V (G) V (H), and edge set {e f : e E(G),
More informationEquivalent Forms of the Axiom of Infinity
Equivalent Forms of the Axiom of Infinity Axiom of Infinity 1. There is a set that contains each finite ordinal as an element. The Axiom of Infinity is the axiom of Set Theory that explicitly asserts that
More informationMonochromatic and Rainbow Colorings
Chapter 11 Monochromatic and Rainbow Colorings There are instances in which we will be interested in edge colorings of graphs that do not require adjacent edges to be assigned distinct colors Of course,
More informationCHAPTER 5. The Topology of R. 1. Open and Closed Sets
CHAPTER 5 The Topology of R 1. Open and Closed Sets DEFINITION 5.1. A set G Ω R is open if for every x 2 G there is an " > 0 such that (x ", x + ") Ω G. A set F Ω R is closed if F c is open. The idea is
More information{x : P (x)} P (x) = x is a cat
1. Sets, relations and functions. 1.1. Set theory. We assume the reader is familiar with elementary set theory as it is used in mathematics today. Nonetheless, we shall now give a careful treatment of
More informationMarch 3, The large and small in model theory: What are the amalgamation spectra of. infinitary classes? John T. Baldwin
large and large and March 3, 2015 Characterizing cardinals by L ω1,ω large and L ω1,ω satisfies downward Lowenheim Skolem to ℵ 0 for sentences. It does not satisfy upward Lowenheim Skolem. Definition sentence
More informationPainting Squares in 2 1 Shades
Painting Squares in 1 Shades Daniel W. Cranston Landon Rabern May 1, 014 Abstract Cranston and Kim conjectured that if G is a connected graph with maximum degree and G is not a Moore Graph, then χ l (G
More informationImmerse Metric Space Homework
Immerse Metric Space Homework (Exercises -2). In R n, define d(x, y) = x y +... + x n y n. Show that d is a metric that induces the usual topology. Sketch the basis elements when n = 2. Solution: Steps
More informationWorkshop 1- Building on the Axioms. The First Proofs
Boston University Summer I 2009 Workshop 1- Building on the Axioms. The First Proofs MA341 Number Theory Kalin Kostadinov The goal of this workshop was to organize our experience with the common integers
More informationDiscrete Mathematics for CS Spring 2007 Luca Trevisan Lecture 27
CS 70 Discrete Mathematics for CS Spring 007 Luca Trevisan Lecture 7 Infinity and Countability Consider a function f that maps elements of a set A (called the domain of f ) to elements of set B (called
More informationThe random graph. Peter J. Cameron University of St Andrews Encontro Nacional da SPM Caparica, 14 da julho 2014
The random graph Peter J. Cameron University of St Andrews Encontro Nacional da SPM Caparica, 14 da julho 2014 The random graph The countable random graph is one of the most extraordinary objects in mathematics.
More informationEssential facts about NP-completeness:
CMPSCI611: NP Completeness Lecture 17 Essential facts about NP-completeness: Any NP-complete problem can be solved by a simple, but exponentially slow algorithm. We don t have polynomial-time solutions
More information2.23 Theorem. Let A and B be sets in a metric space. If A B, then L(A) L(B).
2.23 Theorem. Let A and B be sets in a metric space. If A B, then L(A) L(B). 2.24 Theorem. Let A and B be sets in a metric space. Then L(A B) = L(A) L(B). It is worth noting that you can t replace union
More informationLebesgue Measure on R n
CHAPTER 2 Lebesgue Measure on R n Our goal is to construct a notion of the volume, or Lebesgue measure, of rather general subsets of R n that reduces to the usual volume of elementary geometrical sets
More information4 CONNECTED PROJECTIVE-PLANAR GRAPHS ARE HAMILTONIAN. Robin Thomas* Xingxing Yu**
4 CONNECTED PROJECTIVE-PLANAR GRAPHS ARE HAMILTONIAN Robin Thomas* Xingxing Yu** School of Mathematics Georgia Institute of Technology Atlanta, Georgia 30332, USA May 1991, revised 23 October 1993. Published
More informationAutomata and Languages
Automata and Languages Prof. Mohamed Hamada Software Engineering Lab. The University of Aizu Japan Mathematical Background Mathematical Background Sets Relations Functions Graphs Proof techniques Sets
More informationDISTANCE SETS OF WELL-DISTRIBUTED PLANAR POINT SETS. A. Iosevich and I. Laba. December 12, 2002 (revised version) Introduction
DISTANCE SETS OF WELL-DISTRIBUTED PLANAR POINT SETS A. Iosevich and I. Laba December 12, 2002 (revised version) Abstract. We prove that a well-distributed subset of R 2 can have a distance set with #(
More informationMeasures. 1 Introduction. These preliminary lecture notes are partly based on textbooks by Athreya and Lahiri, Capinski and Kopp, and Folland.
Measures These preliminary lecture notes are partly based on textbooks by Athreya and Lahiri, Capinski and Kopp, and Folland. 1 Introduction Our motivation for studying measure theory is to lay a foundation
More informationErgodic Theory and Topological Groups
Ergodic Theory and Topological Groups Christopher White November 15, 2012 Throughout this talk (G, B, µ) will denote a measure space. We call the space a probability space if µ(g) = 1. We will also assume
More information