Compact Sets. James K. Peterson. September 15, Department of Biological Sciences and Department of Mathematical Sciences Clemson University
|
|
- Silvester French
- 6 years ago
- Views:
Transcription
1 Compact Sets James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 15, 2017
2 Outline 1 Closed Sets 2 Compactness 3 Homework
3 Closed Sets Recall a set S is closed if its complement is open. We can characterize closed sets using the closure too. Theorem Let S be a set of real numbers. Then S is a closed set S = S. ( ): We assume S is a closed set. Then S C is open. We wish to show S = S. Now S contains S already, so we must show all boundary points of S are in S. Let s assume x is a boundary point of S which is in S C. Then, since S C is open, x is an interior point and there is an r > 0 so that B r (x) S C. But B r (x) must contains points of S and S C since x is a boundary point. This is impossible. So our assumption that x was in S C is wrong. Hence, S S. This shows S = S.
4 Closed Sets ( ): We assume S = S and show S is closed. To do this, we show S C is open. It is easy to see the complement of the complement gives you back the set you started with, so if S C is open, by definition, (S C ) C = S is closed. We will show any x in S C is an interior point. That will show S C is open. Let s do this by contradiction. To show S C is open, we show that for any x in S C, we can find a positive r so that B r (x) S C. So let s assume we can t find such an r. Then every B r (x) contains points of S and points of S C. Hence, x must be a boundary point of S. Since S = S, this means S S which implies x S. But we assumed x was in S C. So our assumption is wrong and we must be able to find an r > 0 with B r (x) S C. Hence S C is open which means S is closed.
5 Closed Sets Let s look at some set based proofs. Theorem If A and B are open, so is A B. Let p A B. Then p A or p B or both. If p A, p is an interior point because A is open. So there is an r > 0 so that B r (p) A. This says B r (p) A B too. A similar argument works for the case p B. Since p is arbitary, all points in A B are interior points and we have shown A B is open.
6 Closed Sets Theorem (A B) C = A C B C and (A B) C = A C B C. (A B) C A C B C : If p (A B) C, p A B. Thus p A and p B implying p A C and p B C ; i.e. p A C B C. Since p is arbitary, this shows (A B) C A C B C A C B C (A B) C : If p A C B C, p A C and p B C. So p A and p B. Thus p A B telling us p (A B) C. Since p is arbitrary, this shows A C B C (A B) C. The other one is left for you as a homework.
7 Closed Sets Let s look at some set based proofs. Theorem If A and B are closed, so is A B. Let s show A B is closed by showing (A B) C is open. Let p (A B) C = A C B C. Then p A C and p B C. So there is a radius r 1 so that B r1 (p) A C and there is a radius r 2 so that B r2 (p) B C. So if r = min{r 1, r 2 }, B r (p) A C B C. Thus, p is an interior point of (A B) C. Since p is arbitary, all points in (A B) C are interior points and we have shown (A B) C is open.
8 Compactness Definition Let S be a set of real numbers. We say S is sequentially compact or simply compact if every sequence (x n ) in S has at least one subsequence which converges to an element of S. In other words Given (x n ) S, (x nk ) (x n ) and an x S so that x nk x. Theorem A set S is sequentially compact S is closed and bounded. ( ): We assume S is sequentially compact and we show S is both closed and bounded. First, we show S is closed. Let x S. If we show S = S, by the previous theorem, we know S is closed. Since S S, this means we have to show all x S are also in S.
9 Compactness Now if x S, x is a boundary point of S. Hence, for all B 1/n (x), there is a point x n S and a point y n S C. This gives a sequence (x n ) satisfying x n x < 1/n for all n which tells us x n x. If this sequence is the constant sequence, x n = x, then we have x S. But if (x n ) satisfies x n x for all n, we have to argue differently. In this case, since S is sequentially compact, (x n ) has a subsequence (x nk ) which converges to some y S. Since limits of a sequence are unique, this says x = y. Since y is in S, this shows x is in S too. Hence, since x was arbitrarily chosen, we have S S and so S = S and S is closed.
10 Compactness Next, we show S is bounded by contradiction. Let s assume it is not bounded. Then given any positive integer n, there is an x n in S so that x n > n. This defines a subsequence (x n ) in S. Since S is sequentially compact, (x n ) has a convergent subsequence (x nk ) which converges to an element y in S. But since this subsequence converges, this tells us (x nk ) is bounded; i.e. there is a positive number B so that x nk B for all n k. But we also know x nk > n k and so n k < x nk B for all n k. This is impossible as n k and B is a finite number. Thus, our assumption that S was unbounded is wrong and so S must be bounded.
11 Compactness ( ): We assume S is closed and bounded and we want to show S is sequentially compact. Let (x n ) be any sequence in S. Since S is a bounded set, by the Bolzano Weierstrass Theorem for Sequences, since (x n ) is bounded, there is at least one subsequence (x nk ) of (x n ) which converges to a value y. If this sequence is a constant sequence, then x nk = y always which tells us y is in S too. On the other hand, if it is not a constant sequence, this tells us y is an accumulation point of S. Now if y was not in S, then y would be in S C and then since x nk y, every B r (y) would have to contain points of S and points of S C. This says y has to be a boundary point. But since S is closed, S contains all its boundary points. Thus the assumption y S C can t be right and we know y S. This shows the arbitrary sequence (x n ) in S has a subsequence which converges to an element of S which shows S is sequentially compact.
12 Compactness Example Let S = {2} (3, 4). Note S is not closed as 3 and 4 are boundary points not in S. Hence, S is not sequentially compact either. Example Let S = {2} [5, 7]. Then S is closed as it contains all of its boundary points and so S is also sequentially compact. Example Let S = [1, ). Then S is not bounded so it is not sequentially compact.
13 Compactness Theorem If S is sequentially compact, then any sequence (x n ) in S which converges, converges to a point in S. Since S is sequentially compact, such a sequence does have a convergent subsequence which converges to a point in S. Since the limit of the subsequence must be the same as the limit of this convergent sequence, this tells us the limit of the sequence must be in S.
14 Compactness Example Let S be a nonempty and bounded set of numbers. Then α = inf(s) and β = sup(s) are both finite numbers. Given any r n = 1/n, the Supremum Tolerance Lemma tells us there is a x n S so that β 1/n < x n β for all n. Thus, rearranging this inequality, we have 1/n < x n β 0 < 1/n which says x n β < 1/n for all n. This tells us x n β. We can do a similar argument for the infimum α and so there is a sequence (y n ) in S so that y n α. Now in general, we don t know if α or β are the minimum and maximum of S, respectively. But if we also knew S was sequentially compact, we can say more. By the Theorem above, since x n β and (x n ) S, we know β S. Hence β is a maximum. A similar argument shows α is a minimum.
15 Compactness Definition Let S be a nonempty and bounded set of numbers. Then α = inf(s) and β = sup(s) are both finite numbers. A sequence (y n ) S which converges to inf(s) is called a minimizing sequence and a sequence (x n ) S which converges to sup(s) is called a maximizing sequence. What we want are conditions that force minimizing and maximizing sequences to converge to points inside S; i.e. make sure the minimum and maximum of S exist. One way to make this happen is to prove S is sequentially compact.
16 Homework Homework Let S = {3} (0, 3). Explain why S is or is not sequentially compact Let S = (, 3]. Explain why S is or is not sequentially compact Let S = (x n ) = (sin(n)) n 1. Since (x n ) [ 1, 1], why do you know that (x n ) has a subsequence which converges to a point x in [ 1, 1]? Can you see why it is hard to decide if S is a closed set? This question is just to show you deciding if a set is closed or open can be difficult Prove for any sets A and B, (A B) C = A C B C If A and B are open, prove A B is open also.
Homework Set #2 Math 440 Topology Topology by J. Munkres
Homework Set #2 Math 440 Topology Topology by J. Munkres Clayton J. Lungstrum October 26, 2012 Exercise 1. Prove that a topological space X is Hausdorff if and only if the diagonal = {(x, x) : x X} is
More informationWalheer Barnabé. Topics in Mathematics Practical Session 2 - Topology & Convex
Topics in Mathematics Practical Session 2 - Topology & Convex Sets Outline (i) Set membership and set operations (ii) Closed and open balls/sets (iii) Points (iv) Sets (v) Convex Sets Set Membership and
More informationTopology and Topological Spaces
Topology and Topological Spaces Mathematical spaces such as vector spaces, normed vector spaces (Banach spaces), and metric spaces are generalizations of ideas that are familiar in R or in R n. For example,
More informationREVIEW OF FUZZY SETS
REVIEW OF FUZZY SETS CONNER HANSEN 1. Introduction L. A. Zadeh s paper Fuzzy Sets* [1] introduces the concept of a fuzzy set, provides definitions for various fuzzy set operations, and proves several properties
More informationM3P1/M4P1 (2005) Dr M Ruzhansky Metric and Topological Spaces Summary of the course: definitions, examples, statements.
M3P1/M4P1 (2005) Dr M Ruzhansky Metric and Topological Spaces Summary of the course: definitions, examples, statements. Chapter 1: Metric spaces and convergence. (1.1) Recall the standard distance function
More informationTHREE LECTURES ON BASIC TOPOLOGY. 1. Basic notions.
THREE LECTURES ON BASIC TOPOLOGY PHILIP FOTH 1. Basic notions. Let X be a set. To make a topological space out of X, one must specify a collection T of subsets of X, which are said to be open subsets of
More informationNotes on point set topology, Fall 2010
Notes on point set topology, Fall 2010 Stephan Stolz September 3, 2010 Contents 1 Pointset Topology 1 1.1 Metric spaces and topological spaces...................... 1 1.2 Constructions with topological
More informationMath 5593 Linear Programming Lecture Notes
Math 5593 Linear Programming Lecture Notes Unit II: Theory & Foundations (Convex Analysis) University of Colorado Denver, Fall 2013 Topics 1 Convex Sets 1 1.1 Basic Properties (Luenberger-Ye Appendix B.1).........................
More informationOpen and Closed Sets
Open and Closed Sets Definition: A subset S of a metric space (X, d) is open if it contains an open ball about each of its points i.e., if x S : ɛ > 0 : B(x, ɛ) S. (1) Theorem: (O1) and X are open sets.
More informationFinal Test in MAT 410: Introduction to Topology Answers to the Test Questions
Final Test in MAT 410: Introduction to Topology Answers to the Test Questions Stefan Kohl Question 1: Give the definition of a topological space. (3 credits) A topological space (X, τ) is a pair consisting
More informationEC 521 MATHEMATICAL METHODS FOR ECONOMICS. Lecture 2: Convex Sets
EC 51 MATHEMATICAL METHODS FOR ECONOMICS Lecture : Convex Sets Murat YILMAZ Boğaziçi University In this section, we focus on convex sets, separating hyperplane theorems and Farkas Lemma. And as an application
More informationChapter 4 Concepts from Geometry
Chapter 4 Concepts from Geometry An Introduction to Optimization Spring, 2014 Wei-Ta Chu 1 Line Segments The line segment between two points and in R n is the set of points on the straight line joining
More informationNon-context-Free Languages. CS215, Lecture 5 c
Non-context-Free Languages CS215 Lecture 5 c 2007 1 The Pumping Lemma Theorem (Pumping Lemma) Let be context-free There exists a positive integer divided into five pieces Proof for for each and Let and
More informationLecture 2. Topology of Sets in R n. August 27, 2008
Lecture 2 Topology of Sets in R n August 27, 2008 Outline Vectors, Matrices, Norms, Convergence Open and Closed Sets Special Sets: Subspace, Affine Set, Cone, Convex Set Special Convex Sets: Hyperplane,
More informationIn this chapter, we define limits of functions and describe some of their properties.
Chapter 2 Limits of Functions In this chapter, we define its of functions and describe some of their properties. 2.. Limits We begin with the ϵ-δ definition of the it of a function. Definition 2.. Let
More information4. Definition: topological space, open set, topology, trivial topology, discrete topology.
Topology Summary Note to the reader. If a statement is marked with [Not proved in the lecture], then the statement was stated but not proved in the lecture. Of course, you don t need to know the proof.
More information1.7 The Heine-Borel Covering Theorem; open sets, compact sets
1.7 The Heine-Borel Covering Theorem; open sets, compact sets This section gives another application of the interval halving method, this time to a particularly famous theorem of analysis, the Heine Borel
More informationBounded subsets of topological vector spaces
Chapter 2 Bounded subsets of topological vector spaces In this chapter we will study the notion of bounded set in any t.v.s. and analyzing some properties which will be useful in the following and especially
More informationReal Analysis, 2nd Edition, G.B.Folland
Real Analysis, 2nd Edition, G.B.Folland Chapter 4 Point Set Topology Yung-Hsiang Huang 4.1 Topological Spaces 1. If card(x) 2, there is a topology on X that is T 0 but not T 1. 2. If X is an infinite set,
More informationLecture 15: The subspace topology, Closed sets
Lecture 15: The subspace topology, Closed sets 1 The Subspace Topology Definition 1.1. Let (X, T) be a topological space with topology T. subset of X, the collection If Y is a T Y = {Y U U T} is a topology
More informationORIE 6300 Mathematical Programming I September 2, Lecture 3
ORIE 6300 Mathematical Programming I September 2, 2014 Lecturer: David P. Williamson Lecture 3 Scribe: Divya Singhvi Last time we discussed how to take dual of an LP in two different ways. Today we will
More informationDivision of the Humanities and Social Sciences. Convex Analysis and Economic Theory Winter Separation theorems
Division of the Humanities and Social Sciences Ec 181 KC Border Convex Analysis and Economic Theory Winter 2018 Topic 8: Separation theorems 8.1 Hyperplanes and half spaces Recall that a hyperplane in
More informationPoint-Set Topology 1. TOPOLOGICAL SPACES AND CONTINUOUS FUNCTIONS
Point-Set Topology 1. TOPOLOGICAL SPACES AND CONTINUOUS FUNCTIONS Definition 1.1. Let X be a set and T a subset of the power set P(X) of X. Then T is a topology on X if and only if all of the following
More informationNumerical Optimization
Convex Sets Computer Science and Automation Indian Institute of Science Bangalore 560 012, India. NPTEL Course on Let x 1, x 2 R n, x 1 x 2. Line and line segment Line passing through x 1 and x 2 : {y
More informationLecture 2 September 3
EE 381V: Large Scale Optimization Fall 2012 Lecture 2 September 3 Lecturer: Caramanis & Sanghavi Scribe: Hongbo Si, Qiaoyang Ye 2.1 Overview of the last Lecture The focus of the last lecture was to give
More informationLecture 19 Subgradient Methods. November 5, 2008
Subgradient Methods November 5, 2008 Outline Lecture 19 Subgradients and Level Sets Subgradient Method Convergence and Convergence Rate Convex Optimization 1 Subgradients and Level Sets A vector s is a
More informationTHE GROWTH DEGREE OF VERTEX REPLACEMENT RULES
THE GROWTH DEGREE OF VERTEX REPLACEMENT RULES JOSEPH P. PREVITE AND MICHELLE PREVITE 1. Introduction. 2. Vertex Replacement Rules. 3. Marked Graphs Definition 3.1. A marked graph (G, p) is a graph with
More informationLecture 19: Convex Non-Smooth Optimization. April 2, 2007
: Convex Non-Smooth Optimization April 2, 2007 Outline Lecture 19 Convex non-smooth problems Examples Subgradients and subdifferentials Subgradient properties Operations with subgradients and subdifferentials
More informationLecture 6: Faces, Facets
IE 511: Integer Programming, Spring 2019 31 Jan, 2019 Lecturer: Karthik Chandrasekaran Lecture 6: Faces, Facets Scribe: Setareh Taki Disclaimer: These notes have not been subjected to the usual scrutiny
More informationd(γ(a i 1 ), γ(a i )) i=1
Marli C. Wang Hyperbolic Geometry Hyperbolic surfaces A hyperbolic surface is a metric space with some additional properties: it has the shortest length property and every point has an open neighborhood
More informationOptimality certificates for convex minimization and Helly numbers
Optimality certificates for convex minimization and Helly numbers Amitabh Basu Michele Conforti Gérard Cornuéjols Robert Weismantel Stefan Weltge May 10, 2017 Abstract We consider the problem of minimizing
More informationINTRODUCTION TO GRAPH THEORY. 1. Definitions
INTRODUCTION TO GRAPH THEORY D. JAKOBSON 1. Definitions A graph G consists of vertices {v 1, v 2,..., v n } and edges {e 1, e 2,..., e m } connecting pairs of vertices. An edge e = (uv) is incident with
More informationAXIOMS FOR THE INTEGERS
AXIOMS FOR THE INTEGERS BRIAN OSSERMAN We describe the set of axioms for the integers which we will use in the class. The axioms are almost the same as what is presented in Appendix A of the textbook,
More informationLECTURE 7 LECTURE OUTLINE. Review of hyperplane separation Nonvertical hyperplanes Convex conjugate functions Conjugacy theorem Examples
LECTURE 7 LECTURE OUTLINE Review of hyperplane separation Nonvertical hyperplanes Convex conjugate functions Conjugacy theorem Examples Reading: Section 1.5, 1.6 All figures are courtesy of Athena Scientific,
More informationLecture-12: Closed Sets
and Its Examples Properties of Lecture-12: Dr. Department of Mathematics Lovely Professional University Punjab, India October 18, 2014 Outline Introduction and Its Examples Properties of 1 Introduction
More informationConvexity and Optimization
Convexity and Optimization Richard Lusby Department of Management Engineering Technical University of Denmark Today s Material Extrema Convex Function Convex Sets Other Convexity Concepts Unconstrained
More informationDISTRIBUTIVE LATTICES
DISTRIBUTIVE LATTICES FACT 1: For any lattice : 1 and 2 and 3 and 4 hold in : The distributive inequalities: 1. for every a,b,c A: (a b) (a c) a (b c) 2. for every a,b,c A: a (b c) (a b) (a c)
More information1 Counting triangles and cliques
ITCSC-INC Winter School 2015 26 January 2014 notes by Andrej Bogdanov Today we will talk about randomness and some of the surprising roles it plays in the theory of computing and in coding theory. Let
More informationA Tour of General Topology Chris Rogers June 29, 2010
A Tour of General Topology Chris Rogers June 29, 2010 1. The laundry list 1.1. Metric and topological spaces, open and closed sets. (1) metric space: open balls N ɛ (x), various metrics e.g. discrete metric,
More informationA greedy, partially optimal proof of the Heine-Borel Theorem
A greedy, partially optimal proof of the Heine-Borel Theorem James Fennell September 28, 2017 Abstract The Heine-Borel theorem states that any open cover of the closed interval Œa; b contains a finite
More informationFinite Math Linear Programming 1 May / 7
Linear Programming Finite Math 1 May 2017 Finite Math Linear Programming 1 May 2017 1 / 7 General Description of Linear Programming Finite Math Linear Programming 1 May 2017 2 / 7 General Description of
More informationSurfaces and Partial Derivatives
Surfaces and James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 15, 2017 Outline 1 2 Tangent Planes Let s go back to our simple surface
More informationCOUNTING THE NUMBER OF WINNING BINARY STRINGS IN THE 1-DIMENSIONAL SAME GAME. Department of Mathematics Oberlin College Oberlin OH 44074
COUNTING THE NUMBER OF WINNING BINARY STRINGS IN THE 1-DIMENSIONAL SAME GAME CHRIS BURNS AND BENJAMIN PURCELL Department of Mathematics Oberlin College Oberlin OH 44074 Abstract. Ralf Stephan recently
More informationTopology 550A Homework 3, Week 3 (Corrections: February 22, 2012)
Topology 550A Homework 3, Week 3 (Corrections: February 22, 2012) Michael Tagare De Guzman January 31, 2012 4A. The Sorgenfrey Line The following material concerns the Sorgenfrey line, E, introduced in
More informationConvexity and Optimization
Convexity and Optimization Richard Lusby DTU Management Engineering Class Exercises From Last Time 2 DTU Management Engineering 42111: Static and Dynamic Optimization (3) 18/09/2017 Today s Material Extrema
More informationISSN X (print) COMPACTNESS OF S(n)-CLOSED SPACES
Matematiqki Bilten ISSN 0351-336X (print) 41(LXVII) No. 2 ISSN 1857-9914 (online) 2017(30-38) UDC: 515.122.2 Skopje, Makedonija COMPACTNESS OF S(n)-CLOSED SPACES IVAN LONČAR Abstract. The aim of this paper
More informationH = {(1,0,0,...),(0,1,0,0,...),(0,0,1,0,0,...),...}.
II.4. Compactness 1 II.4. Compactness Note. Conway states on page 20 that the concept of compactness is an extension of benefits of finiteness to infinite sets. I often state this idea as: Compact sets
More informationMA651 Topology. Lecture 4. Topological spaces 2
MA651 Topology. Lecture 4. Topological spaces 2 This text is based on the following books: Linear Algebra and Analysis by Marc Zamansky Topology by James Dugundgji Fundamental concepts of topology by Peter
More informationTOPOLOGY, DR. BLOCK, FALL 2015, NOTES, PART 3.
TOPOLOGY, DR. BLOCK, FALL 2015, NOTES, PART 3. 301. Definition. Let m be a positive integer, and let X be a set. An m-tuple of elements of X is a function x : {1,..., m} X. We sometimes use x i instead
More informationTOPOLOGY CHECKLIST - SPRING 2010
TOPOLOGY CHECKLIST - SPRING 2010 The list below serves as an indication of what we have covered in our course on topology. (It was written in a hurry, so there is a high risk of some mistake being made
More informationOptimality certificates for convex minimization and Helly numbers
Optimality certificates for convex minimization and Helly numbers Amitabh Basu Michele Conforti Gérard Cornuéjols Robert Weismantel Stefan Weltge October 20, 2016 Abstract We consider the problem of minimizing
More informationFACES OF CONVEX SETS
FACES OF CONVEX SETS VERA ROSHCHINA Abstract. We remind the basic definitions of faces of convex sets and their basic properties. For more details see the classic references [1, 2] and [4] for polytopes.
More informationOn Soft Topological Linear Spaces
Republic of Iraq Ministry of Higher Education and Scientific Research University of AL-Qadisiyah College of Computer Science and Formation Technology Department of Mathematics On Soft Topological Linear
More informationTopology Homework 3. Section Section 3.3. Samuel Otten
Topology Homework 3 Section 3.1 - Section 3.3 Samuel Otten 3.1 (1) Proposition. The intersection of finitely many open sets is open and the union of finitely many closed sets is closed. Proof. Note that
More informationTopological properties of convex sets
Division of the Humanities and Social Sciences Ec 181 KC Border Convex Analysis and Economic Theory Winter 2018 Topic 5: Topological properties of convex sets 5.1 Interior and closure of convex sets Let
More informationGENERALIZED METRIC SPACES AND TOPOLOGICAL STRUCTURE I
ANALELE ŞTIINŢIFICE ALE UNIVERSITĂŢII AL.I.CUZA IAŞI Tomul XLVI, s.i a, Matematică, 2000, f.1. GENERALIZED METRIC SPACES AND TOPOLOGICAL STRUCTURE I BY B.C. DHAGE Abstract. In this paper some results in
More informationHowever, this is not always true! For example, this fails if both A and B are closed and unbounded (find an example).
98 CHAPTER 3. PROPERTIES OF CONVEX SETS: A GLIMPSE 3.2 Separation Theorems It seems intuitively rather obvious that if A and B are two nonempty disjoint convex sets in A 2, then there is a line, H, separating
More information5. THE ISOPERIMETRIC PROBLEM
Math 501 - Differential Geometry Herman Gluck March 1, 2012 5. THE ISOPERIMETRIC PROBLEM Theorem. Let C be a simple closed curve in the plane with length L and bounding a region of area A. Then L 2 4 A,
More informationLecture 5: Duality Theory
Lecture 5: Duality Theory Rajat Mittal IIT Kanpur The objective of this lecture note will be to learn duality theory of linear programming. We are planning to answer following questions. What are hyperplane
More informationColoring. Radhika Gupta. Problem 1. What is the chromatic number of the arc graph of a polygonal disc of N sides?
Coloring Radhika Gupta 1 Coloring of A N Let A N be the arc graph of a polygonal disc with N sides, N > 4 Problem 1 What is the chromatic number of the arc graph of a polygonal disc of N sides? Or we would
More information1. Chapter 1, # 1: Prove that for all sets A, B, C, the formula
Homework 1 MTH 4590 Spring 2018 1. Chapter 1, # 1: Prove that for all sets,, C, the formula ( C) = ( ) ( C) is true. Proof : It suffices to show that ( C) ( ) ( C) and ( ) ( C) ( C). ssume that x ( C),
More informationarxiv: v1 [math.co] 28 Sep 2010
Densities of Minor-Closed Graph Families David Eppstein Computer Science Department University of California, Irvine Irvine, California, USA arxiv:1009.5633v1 [math.co] 28 Sep 2010 September 3, 2018 Abstract
More informationEXTERNAL VISIBILITY. 1. Definitions and notation. The boundary and interior of
PACIFIC JOURNAL OF MATHEMATICS Vol. 64, No. 2, 1976 EXTERNAL VISIBILITY EDWIN BUCHMAN AND F. A. VALENTINE It is possible to see any eleven vertices of an opaque solid regular icosahedron from some appropriate
More informationTopology - I. Michael Shulman WOMP 2004
Topology - I Michael Shulman WOMP 2004 1 Topological Spaces There are many different ways to define a topological space; the most common one is as follows: Definition 1.1 A topological space (often just
More informationSurfaces and Partial Derivatives
Surfaces and Partial Derivatives James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 9, 2016 Outline Partial Derivatives Tangent Planes
More informationBROUWER S FIXED POINT THEOREM. Contents
BROUWER S FIXED POINT THEOREM JASPER DEANTONIO Abstract. In this paper we prove Brouwer s Fixed Point Theorem, which states that for any continuous transformation f : D D of any figure topologically equivalent
More informationLecture 2 - Introduction to Polytopes
Lecture 2 - Introduction to Polytopes Optimization and Approximation - ENS M1 Nicolas Bousquet 1 Reminder of Linear Algebra definitions Let x 1,..., x m be points in R n and λ 1,..., λ m be real numbers.
More informationor else take their intersection. Now define
Samuel Lee Algebraic Topology Homework #5 May 10, 2016 Problem 1: ( 1.3: #3). Let p : X X be a covering space with p 1 (x) finite and nonempty for all x X. Show that X is compact Hausdorff if and only
More informationON BINARY TOPOLOGICAL SPACES
Pacific-Asian Journal of Mathematics, Volume 5, No. 2, July-December 2011 ON BINARY TOPOLOGICAL SPACES S. NITHYANANTHA JOTHI & P. THANGAVELU ABSTRACT: Recently the authors introduced the concept of a binary
More informationSection 26. Compact Sets
26. Compact Sets 1 Section 26. Compact Sets Note. You encounter compact sets of real numbers in senior level analysis shortly after studying open and closed sets. Recall that, in the real setting, a continuous
More informationSaturated Sets in Fuzzy Topological Spaces
Computational and Applied Mathematics Journal 2015; 1(4): 180-185 Published online July 10, 2015 (http://www.aascit.org/journal/camj) Saturated Sets in Fuzzy Topological Spaces K. A. Dib, G. A. Kamel Department
More informationThe Set-Open topology
Volume 37, 2011 Pages 205 217 http://topology.auburn.edu/tp/ The Set-Open topology by A. V. Osipov Electronically published on August 26, 2010 Topology Proceedings Web: http://topology.auburn.edu/tp/ Mail:
More informationPebble Sets in Convex Polygons
2 1 Pebble Sets in Convex Polygons Kevin Iga, Randall Maddox June 15, 2005 Abstract Lukács and András posed the problem of showing the existence of a set of n 2 points in the interior of a convex n-gon
More informationAlgebra of Sets (Mathematics & Logic A)
Algebra of Sets (Mathematics & Logic A) RWK/MRQ October 28, 2002 Note. These notes are adapted (with thanks) from notes given last year by my colleague Dr Martyn Quick. Please feel free to ask me (not
More informationIntroduction to Rational Billiards II. Talk by John Smillie. August 21, 2007
Introduction to Rational Billiards II Talk by John Smillie August 21, 2007 Translation surfaces and their singularities Last time we described the Zemlyakov-Katok construction for billiards on a triangular
More informationAdvanced Operations Research Techniques IE316. Quiz 1 Review. Dr. Ted Ralphs
Advanced Operations Research Techniques IE316 Quiz 1 Review Dr. Ted Ralphs IE316 Quiz 1 Review 1 Reading for The Quiz Material covered in detail in lecture. 1.1, 1.4, 2.1-2.6, 3.1-3.3, 3.5 Background material
More information11.1 Facility Location
CS787: Advanced Algorithms Scribe: Amanda Burton, Leah Kluegel Lecturer: Shuchi Chawla Topic: Facility Location ctd., Linear Programming Date: October 8, 2007 Today we conclude the discussion of local
More informationCharacterization of Boolean Topological Logics
Characterization of Boolean Topological Logics Short Form: Boolean Topological Logics Anthony R. Fressola Denison University Granville, OH 43023 University of Illinois Urbana-Champaign, IL USA 61801-61802
More informationReview of Sets. Review. Philippe B. Laval. Current Semester. Kennesaw State University. Philippe B. Laval (KSU) Sets Current Semester 1 / 16
Review of Sets Review Philippe B. Laval Kennesaw State University Current Semester Philippe B. Laval (KSU) Sets Current Semester 1 / 16 Outline 1 Introduction 2 Definitions, Notations and Examples 3 Special
More informationTheorem 3.1 (Berge) A matching M in G is maximum if and only if there is no M- augmenting path.
3 Matchings Hall s Theorem Matching: A matching in G is a subset M E(G) so that no edge in M is a loop, and no two edges in M are incident with a common vertex. A matching M is maximal if there is no matching
More informationMatching Algorithms. Proof. If a bipartite graph has a perfect matching, then it is easy to see that the right hand side is a necessary condition.
18.433 Combinatorial Optimization Matching Algorithms September 9,14,16 Lecturer: Santosh Vempala Given a graph G = (V, E), a matching M is a set of edges with the property that no two of the edges have
More informationTable 1 below illustrates the construction for the case of 11 integers selected from 20.
Q: a) From the first 200 natural numbers 101 of them are arbitrarily chosen. Prove that among the numbers chosen there exists a pair such that one divides the other. b) Prove that if 100 numbers are chosen
More informationarxiv: v1 [math.co] 12 Dec 2017
arxiv:1712.04381v1 [math.co] 12 Dec 2017 Semi-reflexive polytopes Tiago Royer Abstract The Ehrhart function L P(t) of a polytope P is usually defined only for integer dilation arguments t. By allowing
More informationChapter 2 Topological Spaces and Continuity
Chapter 2 Topological Spaces and Continuity Starting from metric spaces as they are familiar from elementary calculus, one observes that many properties of metric spaces like the notions of continuity
More informationAM 221: Advanced Optimization Spring 2016
AM 221: Advanced Optimization Spring 2016 Prof. Yaron Singer Lecture 2 Wednesday, January 27th 1 Overview In our previous lecture we discussed several applications of optimization, introduced basic terminology,
More informationBounds on the signed domination number of a graph.
Bounds on the signed domination number of a graph. Ruth Haas and Thomas B. Wexler September 7, 00 Abstract Let G = (V, E) be a simple graph on vertex set V and define a function f : V {, }. The function
More informationLinear Programming in Small Dimensions
Linear Programming in Small Dimensions Lekcija 7 sergio.cabello@fmf.uni-lj.si FMF Univerza v Ljubljani Edited from slides by Antoine Vigneron Outline linear programming, motivation and definition one dimensional
More informationTopology I Test 1 Solutions October 13, 2008
Topology I Test 1 Solutions October 13, 2008 1. Do FIVE of the following: (a) Give a careful definition of connected. A topological space X is connected if for any two sets A and B such that A B = X, we
More informationCS 372: Computational Geometry Lecture 10 Linear Programming in Fixed Dimension
CS 372: Computational Geometry Lecture 10 Linear Programming in Fixed Dimension Antoine Vigneron King Abdullah University of Science and Technology November 7, 2012 Antoine Vigneron (KAUST) CS 372 Lecture
More informationInitial Assumptions. Modern Distributed Computing. Network Topology. Initial Input
Initial Assumptions Modern Distributed Computing Theory and Applications Ioannis Chatzigiannakis Sapienza University of Rome Lecture 4 Tuesday, March 6, 03 Exercises correspond to problems studied during
More informationCOMPUTABILITY THEORY AND RECURSIVELY ENUMERABLE SETS
COMPUTABILITY THEORY AND RECURSIVELY ENUMERABLE SETS JOSHUA LENERS Abstract. An algorithm is function from ω to ω defined by a finite set of instructions to transform a given input x to the desired output
More informationRigidity, connectivity and graph decompositions
First Prev Next Last Rigidity, connectivity and graph decompositions Brigitte Servatius Herman Servatius Worcester Polytechnic Institute Page 1 of 100 First Prev Next Last Page 2 of 100 We say that a framework
More informationLecture : Topological Space
Example of Lecture : Dr. Department of Mathematics Lovely Professional University Punjab, India October 18, 2014 Outline Example of 1 2 3 Example of 4 5 6 Example of I Topological spaces and continuous
More information9.5 Equivalence Relations
9.5 Equivalence Relations You know from your early study of fractions that each fraction has many equivalent forms. For example, 2, 2 4, 3 6, 2, 3 6, 5 30,... are all different ways to represent the same
More informationMultiple coverings with closed polygons
Multiple coverings with closed polygons István Kovács Budapest University of Technology and Economics Budapest, Hungary kovika91@gmail.com Géza Tóth Alfréd Rényi Institute of Mathematics Budapest, Hungary
More informationOn Unbounded Tolerable Solution Sets
Reliable Computing (2005) 11: 425 432 DOI: 10.1007/s11155-005-0049-9 c Springer 2005 On Unbounded Tolerable Solution Sets IRENE A. SHARAYA Institute of Computational Technologies, 6, Acad. Lavrentiev av.,
More informationLecture 1. 1 Notation
Lecture 1 (The material on mathematical logic is covered in the textbook starting with Chapter 5; however, for the first few lectures, I will be providing some required background topics and will not be
More informationExploring Domains of Approximation in R 2 : Expository Essay
Exploring Domains of Approximation in R 2 : Expository Essay Nicolay Postarnakevich August 12, 2013 1 Introduction In this paper I explore the concept of the Domains of Best Approximations. These structures
More informationA logical view on Tao s finitizations in analysis
A logical view on Tao s finitizations in analysis Jaime Gaspar 1,2 (joint work with Ulrich Kohlenbach 1 ) 1 Technische Universität Darmstadt 2 Financially supported by the Portuguese Fundação para a Ciência
More information15 212: Principles of Programming. Some Notes on Induction
5 22: Principles of Programming Some Notes on Induction Michael Erdmann Spring 20 These notes provide a brief introduction to induction for proving properties of ML programs. We assume that the reader
More information