Many Touchings Force Many Crossings
|
|
- Martin Harrington
- 5 years ago
- Views:
Transcription
1 May Touchigs Force May Crossigs Jáos Pach 1, ad Géza Tóth 1 École Polytechique Fédérale de Lausae, St. 8, Lausae 1015, Switzerlad pach@cims.yu.edu Réyi Istitute, Hugaria Academy of Scieces 1364 Budapest, POB 17, Hugary geza@reyi.hu Abstract. Give cotiuous ope curves i the plae, we say that a pair is touchig if they have oly oe iterior poit i commo ad at this poit the first curve does ot get from oe side of the secod curve to its other side. Otherwise, if the two curves itersect, they are said to form a crossig pair. Let t ad c deote the umber of touchig pairs ad crossig pairs, respectively. We prove that c 1 t, provided 10 5 that t 10. Apart from the values of the costats, this result is best possible. 1 Itroductio I the cotext of the theory of topological graphs ad graph drawig, may iterestig questios have bee raised cocerig the adjacecy structure of a family of curves i the plae or i aother surface [FP10]. I particular, durig the past four decades, various importat properties of strig graphs (i.e., itersectio graphs of curves i the plae) have bee discovered, ad the study of differet crossig umbers of graphs ad their relatios to oe aother has become a vast area of research. A useful tool i these ivestigatios is the so-called crossig lemma of Ajtai, Chvátal, Newbor, Szemerédi ad Leighto [ACNS8], [Le83]. It states the followig: Give a graph of vertices ad e > 4 edges, o matter how we draw it i the plae by ot ecessarily straight-lie edges, there are at least costat times e 3 / crossig pairs of edges. This lemma has ispired a umber of results establishig the existece of may crossig subcofiguratios of a give type i sufficietly rich geometric or topological structures [D98], [Sh03], [SoT01], [GNT00]. I this ote, we will be cocered with families of curves i the plae. By a curve, we mea a o-selfitersectig cotiuous arc i the plae, that is, a homeomorphic image of the ope iterval (0,1). Two curves are said to touch each other if they have precisely oe poit i commo ad at this poit the first curve does ot pass from oe side of the secod curve to the other. Ay other pair of curves with oempty itersectio is called crossig. A family of curves is i geeral positio if ay two of them itersect i a fiite umber of poits ad o three pass through the same poit.
2 Let be eve, t be a multiple of, ad suppose that t < 4. Cosider a collectio A of t > pairwise disjoit curves, ad aother collectio B curves such that of t (i) A B is i geeral positio, (ii) each elemet of B touches precisely elemets of A, ad (iii) o two elemets of B touch each other. The family A B cosists of curves such that the umber of touchig pairs amog them is t. The oly pairs of curves that may cross each other belog to B. Thus, the umber of crossig pairs is at most ( t/ ) t. See Figure 1. A B t/ / Fig.1: A set of curves with t touchig pairs ad at most t crossig pairs. The aim of the preset ote is to prove that this costructio is optimal up to a costat factor, that is, ay family of curves ad t touchigs has at least costat times t crossig pairs. Theorem. Cosider a family of curves i geeral positio i the plae which determies t touchig pairs ad c crossig pairs. If t 10, the we have c 1. This boud is best possible up to a costat factor t We make o attempt to optimize the costats i the Theorem. Pach, Rubi, ad Tardos [PRT16] established a similar relatioship betwee t, the umber of touchig pairs, ad C, the umber of crossig poits betwee thecurves.theyprovedthatc t(loglog(t/)) δ,foraabsolutecostatδ > 0. Obviously, we have C c. There is a arragemet of red curves ad blue curves i the plae such that every red curve touches every blue curve, ad the total umber of crossig poits is C = Θ( log); cf. [FFPP10]. Of course, the umber of crossig pairs, c, ca ever exceed ( ). Betwee arbitrary curves, the umber of touchigs t ca be as large as ( 3 4 +o(1))( ) ; cf. [PT06]. However, if we restrict our attetio to algebraic plae curves of bouded degree, the we have t = O( 3/ ), where the costat hidde i the otatio depeds o the degree [ESZ16].
3 May Touchigs Force May Crossigs 3 Proof of Theorem We start with a easy observatio. Lemma. Give a family of 3 curves i geeral positio i the plae, o two of which cross, the umber of touchigs, t, caot exceed 3 6. Proof. Pick a differet poit o each curve. Wheever two curves touch each other at a poit p, coect them by a edge (arc) passig through p. I the resultig drawig, ay two edges that do ot share a edpoit are represeted by disjoit arcs. Accordig to the Haai-Tutte theorem [Tu70], this meas that the uderlyig graph is plaar, so that its umber of edges, t, satisfies t 3 6. Proof of Theorem. We proceed by iductio o. For 0, the statemet is void. Suppose that > 0 ad that the statemet has already bee proved for all values smaller tha. We distiguish two cases. CASE A: t 10 3/. I this case, we wat to establish the stroger statemet By the assumptio, we have c t. 1 t 100. (1) LetG t (resp.,g c )deotethetouchig graph(resp.,crossig graph)associated with the curves. That is, the vertices of both graphs correspod to the curves, ad two vertices are coected by a edge if ad oly if the correspodig curves are touchig (resp., crossig). Let T be a miimal vertex cover i G c, that is, a smallest set of vertices of G c such that every edge of G c has at least oe edpoit i T. Let τ = T. Let U deote the complemet of T. Obviously, U is a idepedet set i G c. Accordig to the Lemma, the umber of edges i G t [U], the touchig graph iduced by U, satisfies E(G t [U]) < 3 U 3. () By the miimality of T, G c has at least T = τ edges. That is, we have c τ, so we are doe if τ 1 t. From ow o, we ca ad shall assume that τ < 1 t. By (1), we have 1 t 100. Hece, T 100 ad U = T (3)
4 4 G c T (cover) T = τ U 0 (isolated) U Fig.: Graph G c. Let U U deote the set of all vertices i U that are ot isolated i the graph G c. By the defiitio of T, all eighbors of a vertex v U i G c belog to T. If U 1 t, the we are doe, because c U. Therefore, we ca assume that U < t 100, (4) where the secod iequality follows agai by (1). Lettig U 0 = U\U, by (3) ad (4) we obtai U 0 = U U Clearly, all vertices i U 0 are isolated i G c. Suppose that G t [T U t ] has at least 10 edges. Cosider the set of curves T U. We have 0 = T U 100 ad, the umber of touchigs, t 0 = E(G t [T U ]) t 10. Therefore, by the iductio hypothesis, for the umber of crossigs we have c 0 = E(G c [T U ]) 1 t t 0 ad we are doe. Hece, we assume i the sequel that G t [T U ] has fewer tha t 10 edges. Cosequetly, for the umber of edges i G t ruig betwee T ad U 0, we have E(G t [T,U 0 ]) t E(G t [T U ]) E(G t [U 0 U ]) t t 10 3 > t. (5) Here we used the assumptio that t 10. Let χ = χ(g c [T]) deote the chromatic umber of G c [T]. I ay colorig of a graph with the smallest possible umber of colors, there is at least oe edge betwee ay two color classes. Hece, G c [T] has at least ( ) χ 1 t edges, ad we are doe, provided that χ > 1 70 t. Thus, we ca suppose that χ = χ(g c [T]) 1 70 t. (6)
5 May Touchigs Force May Crossigs 5 Cosider a colorig of G c [T] with χ colors, ad deote the color classes by I 1,I,...,I χ. Obviously, for every j, I j U 0 is a idepedet set i G c. Therefore, by the Lemma, G t [I j U 0 ] has at most 3 edges. Summig up for all j ad takig (6) ito accout, we obtai E(G t [T,U 0 ]) χ j=1 E(G t [I j U 0 ]) 1 70 t 3 t 0, cotradictig (5). This completes the proof i CASE A. CASE B: t 10 3/. Set p = 103 t Select each curve idepedetly with probability p. Let, t, ad c deote the umber of selected curves, the umber of touchig pairs, ad the umber of crossig pairs betwee them, respectively. Clearly, E[ ] = p, E[t ] = p t, E[c ] = p c. (7) The umber of selected curves,, has biomial distributio, therefore, By Markov s iequality, Prob[ p > 1 4 p] < 1 3. (8) Prob[c > 3p c] < 1 3. (9) Cosider the touchig graph G t. Let d 1,...,d deote the degrees of the vertices of G t, ad let e 1,...,e t deote its edges, listed i ay order. We say that a edge e i is selected (or belogs to the radom sample) if both of its edpoits were selected. Let X i be the idicator variable for e i, that is, { 1 if ei was selected, X i = 0 otherwise. We have E[X i ] = p. Let t = t i=1 X i. It follows by straightforward computatio that for every i, var[x i ] = E[(X i E[X i ]) ] = p p 4, If e i ad e j have a commo edpoit for some i j, the cov[x i,x j ] = E[X i X j ] E[X i ]E[X j ] = p 3 p 4. If e i ad e j do ot have a commo vertex, the X i ad X j are idepedet radom variables ad cov[x i,x j ] = 0. Therefore, we obtai σ = var[t ] = t var[x i ]+ i=1 1 i j t cov[x i,x j ]
6 6 t = var[x i ]+ cov[x i,x j ] i=1 1 i j t = (p p 4 )t+(p 3 p 4 ) d i (d i 1) < p t+p 3 t. i=1 From here, we get σ < p t+ p 3 t < p t = E[t ]. By Chebyshev s iequality, Settig λ = 1 4, Prob[ t p t λσ] 1 λ. Prob[ t p t p t 4 ] 1 4 < 1 3. (10) It follows from (8), (9), ad (10) that, with positive probability, we have p 1 4 p, c 3p c, t p t 1 4 p t. (11) Cosider a fixed selectio of curves with t touchig pairs ad c crossig pairs for which the above three iequalities are satisfied. The we have ad, hece, O the other had, so that t 3 4 p t = t 3, 5 4 p = t, t 10. (1) t 5 4 p t = t 3, 3 4 p = t, 10( ) 3/ / 4 t 3 > t. (13) Accordig to (1) ad (13), the selected family meets the requiremets of the Theorem i CASE A. Thus, we ca apply the Theorem i this case to obtai that c 1 t. I view of (11), we have 3/ 6 3p c c, t 3 4 p t, 5 4 p. Thus, 3p c c t (3p t/4) (5p/4) = ( ) 3 p t 5.
7 May Touchigs Force May Crossigs 7 Comparig the left-had side ad the right-had side, we coclude that c t, as required. This completes the proof of the Theorem. Ackowledgmet. The work of Jáos Pach was partially supported by Swiss Natioal Sciece Foudatio Grats ad Géza Tóth s work was partially supported by the Hugaria Natioal Research, Developmet ad Iovatio Office, NKFIH, Grat K Refereces ACNS8. M. Ajtai, V. Chvátal, M. Newbor, E. Szemerédi, Crossig-free subgraphs. I: Theory ad Practice of Combiatorics, North-Hollad Mathematics Studies 60, North-Hollad, Amsterdam, 198, 9 1. D98. T. K. Dey, Improved bouds o plaar k-sets ad related problems, Discrete Comput. Geom. 19 (1998), ESZ16. J. S. Elleberg, J. Solymosi, ad J. Zahl, New bouds o curve tagecies ad orthogoalities, Discrete Aal. (016), Paper No. 18, pp. FFPP10. J. Fox, F. Frati, J. Pach, ad R. Pichasi, Crossigs betwee curves with may tagecies, i: WALCOM: Algorithms ad Computatio, Lecture Notes i Comput. Sci. 594, Spriger-Verlag, Berli, 010, 1 8. Also i: A Irregular Mid, Bolyai Soc. Math. Stud. 1, Jáos Bolyai Math. Soc., Budapest, 010, FP10. J. Fox ad J. Pach, A separator theorem for strig graphs ad its applicatios, Combi. Probab. Comput. 19 (010), GNT00. A. García, M. Noy, ad J. Tejel, Lower bouds o the umber of crossig-free subgraphs of K, Comput. Geom. 16 (000), o. 4, Le83. T. Leighto, Complexity Issues i VLSI, Foudatios of Computig Series, MIT Press, Cambridge, PRT16. J. Pach, N. Rubi, ad G. Tardos, Beyod the Richter-Thomasse Cojecture, i: Proc. 7th Aual ACM-SIAM Symposium o Discrete Algorithms(SODA 016, Arligto), SIAM, 016, PT06. J. Pach ad G. Tóth, How may ways ca oe draw a graph? Combiatorica 6 (006), o. 5, Sh03. M. Sharir, The Clarkso-Shor techique revisited ad exteded, Combi. Probab. Comput. 1 (003), o., SoT01. J. Solymosi ad C. D. Tóth, Distict distaces i the plae, Discrete Comput. Geom. 5 (001), o. 4, Sz97. L. A. Székely, Crossig umbers ad hard Erdős problems i discrete geometry, Combi. Probab. Comput. 6 (1997), o. 3, Tu70. W. T. Tutte, Toward a theory of crossig umbers, J. Combiatorial Theory 8 (1970),
if > 6 is sucietly large). Nevertheless, Pichasi has show that the umber of radial poits of a o-colliear set P of poits i the plae that lie i a halfpl
Radial Poits i the Plae Jaos Pach y Micha Sharir z Jauary 6, 00 Abstract A radial poit for a ite set P i the plae is a poit q 6 P with the property that each lie coectig q to a poit of P passes through
More informationDisjoint Systems. Abstract
Disjoit Systems Noga Alo ad Bey Sudaov Departmet of Mathematics Raymod ad Beverly Sacler Faculty of Exact Scieces Tel Aviv Uiversity, Tel Aviv, Israel Abstract A disjoit system of type (,,, ) is a collectio
More informationLecture 2. The Lovász Local Lemma
Staford Uiversity Sprig 208 Math 233A: No-costructive methods i combiatorics Istructor: Ja Vodrák Lecture date: Jauary 0, 208 Origial scribe: Apoorva Khare Lecture 2. The Lovász Local Lemma 2. Itroductio
More informationOn Random Line Segments in the Unit Square
O Radom Lie Segmets i the Uit Square Thomas A. Courtade Departmet of Electrical Egieerig Uiversity of Califoria Los Ageles, Califoria 90095 Email: tacourta@ee.ucla.edu I. INTRODUCTION Let Q = [0, 1] [0,
More informationLecture 14: Graph Entropy
15-859: Iformatio Theory ad Applicatios i TCS Sprig 2013 Lecture 14: Graph Etropy March 19, 2013 Lecturer: Mahdi Cheraghchi Scribe: Euiwoog Lee 1 Recap Bergma s boud o the permaet Shearer s Lemma Number
More informationProblem Set 2 Solutions
CS271 Radomess & Computatio, Sprig 2018 Problem Set 2 Solutios Poit totals are i the margi; the maximum total umber of poits was 52. 1. Probabilistic method for domiatig sets 6pts Pick a radom subset S
More informationIf a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?
2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a
More informationAn Introduction to Randomized Algorithms
A Itroductio to Radomized Algorithms The focus of this lecture is to study a radomized algorithm for quick sort, aalyze it usig probabilistic recurrece relatios, ad also provide more geeral tools for aalysis
More informationLecture 4: April 10, 2013
TTIC/CMSC 1150 Mathematical Toolkit Sprig 01 Madhur Tulsiai Lecture 4: April 10, 01 Scribe: Haris Agelidakis 1 Chebyshev s Iequality recap I the previous lecture, we used Chebyshev s iequality to get a
More informationBasics of Probability Theory (for Theory of Computation courses)
Basics of Probability Theory (for Theory of Computatio courses) Oded Goldreich Departmet of Computer Sciece Weizma Istitute of Sciece Rehovot, Israel. oded.goldreich@weizma.ac.il November 24, 2008 Preface.
More informationLecture Notes for Analysis Class
Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios
More informationLargest families without an r-fork
Largest families without a r-for Aalisa De Bois Uiversity of Salero Salero, Italy debois@math.it Gyula O.H. Katoa Réyi Istitute Budapest, Hugary ohatoa@reyi.hu Itroductio Let [] = {,,..., } be a fiite
More informationMath 216A Notes, Week 5
Math 6A Notes, Week 5 Scribe: Ayastassia Sebolt Disclaimer: These otes are ot early as polished (ad quite possibly ot early as correct) as a published paper. Please use them at your ow risk.. Thresholds
More informationOn matchings in hypergraphs
O matchigs i hypergraphs Peter Frakl Tokyo, Japa peter.frakl@gmail.com Tomasz Luczak Adam Mickiewicz Uiversity Faculty of Mathematics ad CS Pozań, Polad ad Emory Uiversity Departmet of Mathematics ad CS
More informationDavenport-Schinzel Sequences and their Geometric Applications
Advaced Computatioal Geometry Sprig 2004 Daveport-Schizel Sequeces ad their Geometric Applicatios Prof. Joseph Mitchell Scribe: Mohit Gupta 1 Overview I this lecture, we itroduce the cocept of Daveport-Schizel
More informationCommutativity in Permutation Groups
Commutativity i Permutatio Groups Richard Wito, PhD Abstract I the group Sym(S) of permutatios o a oempty set S, fixed poits ad trasiet poits are defied Prelimiary results o fixed ad trasiet poits are
More informationThe Boolean Ring of Intervals
MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,
More informationThe Random Walk For Dummies
The Radom Walk For Dummies Richard A Mote Abstract We look at the priciples goverig the oe-dimesioal discrete radom walk First we review five basic cocepts of probability theory The we cosider the Beroulli
More informationA NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS
Acta Math. Hugar., 2007 DOI: 10.1007/s10474-007-7013-6 A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS L. L. STACHÓ ad L. I. SZABÓ Bolyai Istitute, Uiversity of Szeged, Aradi vértaúk tere 1, H-6720
More informationProduct measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.
Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the
More informationAxioms of Measure Theory
MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that
More informationIndependence number of graphs with a prescribed number of cliques
Idepedece umber of graphs with a prescribed umber of cliques Tom Bohma Dhruv Mubayi Abstract We cosider the followig problem posed by Erdős i 1962. Suppose that G is a -vertex graph where the umber of
More informationConvergence of random variables. (telegram style notes) P.J.C. Spreij
Covergece of radom variables (telegram style otes).j.c. Spreij this versio: September 6, 2005 Itroductio As we kow, radom variables are by defiitio measurable fuctios o some uderlyig measurable space
More informationBertrand s Postulate
Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a
More informationOn size multipartite Ramsey numbers for stars versus paths and cycles
Electroic Joural of Graph Theory ad Applicatios 5 (1) (2017), 4 50 O size multipartite Ramsey umbers for stars versus paths ad cycles Aie Lusiai 1, Edy Tri Baskoro, Suhadi Wido Saputro Combiatorial Mathematics
More information6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.
6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio
More information62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +
62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of
More information# fixed points of g. Tree to string. Repeatedly select the leaf with the smallest label, write down the label of its neighbour and remove the leaf.
Combiatorics Graph Theory Coutig labelled ad ulabelled graphs There are 2 ( 2) labelled graphs of order. The ulabelled graphs of order correspod to orbits of the actio of S o the set of labelled graphs.
More informationThe maximum number of halving lines and the rectilinear crossing number of K n for n 27
The maximum umber of halvig lies ad the rectiliear crossig umber of K for 27 Berardo M. Ábrego Silvia Ferádez Merchat Departmet of Mathematics, Califoria State Uiversity at Northridge Jesús Leaños Gelasio
More informationMeasure and Measurable Functions
3 Measure ad Measurable Fuctios 3.1 Measure o a Arbitrary σ-algebra Recall from Chapter 2 that the set M of all Lebesgue measurable sets has the followig properties: R M, E M implies E c M, E M for N implies
More informationLecture 2 Long paths in random graphs
Lecture Log paths i radom graphs 1 Itroductio I this lecture we treat the appearace of log paths ad cycles i sparse radom graphs. will wor with the probability space G(, p) of biomial radom graphs, aalogous
More informationFew remarks on Ramsey-Turán-type problems Benny Sudakov Λ Abstract Let H be a fixed forbidden graph and let f be a function of n. Denote by RT n; H; f
Few remarks o Ramsey-Turá-type problems Bey Sudakov Abstract Let H be a fixed forbidde graph ad let f be a fuctio of. Deote by ; H; f () the maximum umber of edges a graph G o vertices ca have without
More informationPairs of disjoint q-element subsets far from each other
Pairs of disjoit q-elemet subsets far from each other Hikoe Eomoto Departmet of Mathematics, Keio Uiversity 3-14-1 Hiyoshi, Kohoku-Ku, Yokohama, 223 Japa, eomoto@math.keio.ac.jp Gyula O.H. Katoa Alfréd
More informationDisjoint unions of complete graphs characterized by their Laplacian spectrum
Electroic Joural of Liear Algebra Volume 18 Volume 18 (009) Article 56 009 Disjoit uios of complete graphs characterized by their Laplacia spectrum Romai Boulet boulet@uiv-tlse.fr Follow this ad additioal
More informationEcon 325/327 Notes on Sample Mean, Sample Proportion, Central Limit Theorem, Chi-square Distribution, Student s t distribution 1.
Eco 325/327 Notes o Sample Mea, Sample Proportio, Cetral Limit Theorem, Chi-square Distributio, Studet s t distributio 1 Sample Mea By Hiro Kasahara We cosider a radom sample from a populatio. Defiitio
More informationApplication to Random Graphs
A Applicatio to Radom Graphs Brachig processes have a umber of iterestig ad importat applicatios. We shall cosider oe of the most famous of them, the Erdős-Réyi radom graph theory. 1 Defiitio A.1. Let
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 19 11/17/2008 LAWS OF LARGE NUMBERS II THE STRONG LAW OF LARGE NUMBERS
MASSACHUSTTS INSTITUT OF TCHNOLOGY 6.436J/5.085J Fall 2008 Lecture 9 /7/2008 LAWS OF LARG NUMBRS II Cotets. The strog law of large umbers 2. The Cheroff boud TH STRONG LAW OF LARG NUMBRS While the weak
More informationOn Topologically Finite Spaces
saqartvelos mecierebata erovuli aademiis moambe, t 9, #, 05 BULLETIN OF THE GEORGIAN NATIONAL ACADEMY OF SCIENCES, vol 9, o, 05 Mathematics O Topologically Fiite Spaces Giorgi Vardosaidze St Adrew the
More informationMAT1026 Calculus II Basic Convergence Tests for Series
MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real
More informationMath 778S Spectral Graph Theory Handout #3: Eigenvalues of Adjacency Matrix
Math 778S Spectral Graph Theory Hadout #3: Eigevalues of Adjacecy Matrix The Cartesia product (deoted by G H) of two simple graphs G ad H has the vertex-set V (G) V (H). For ay u, v V (G) ad x, y V (H),
More informationInfinite Sequences and Series
Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet
More informationarxiv: v3 [math.co] 6 Aug 2014
NEAR PERFECT MATCHINGS IN -UNIFORM HYPERGRAPHS arxiv:1404.1136v3 [math.co] 6 Aug 2014 JIE HAN Abstract. Let H be a -uiform hypergraph o vertices where is a sufficietly large iteger ot divisible by. We
More informationNo four subsets forming an N
No four subsets formig a N Jerrold R. Griggs Uiversity of South Carolia Columbia, SC 908 USA griggs@math.sc.edu Gyula O.H. Katoa Réyi Istitute Budapest, Hugary ohkatoa@reyi.hu Rev., May 3, 007 Abstract
More informationHOMEWORK 2 SOLUTIONS
HOMEWORK SOLUTIONS CSE 55 RANDOMIZED AND APPROXIMATION ALGORITHMS 1. Questio 1. a) The larger the value of k is, the smaller the expected umber of days util we get all the coupos we eed. I fact if = k
More informationWeek 5-6: The Binomial Coefficients
Wee 5-6: The Biomial Coefficiets March 6, 2018 1 Pascal Formula Theorem 11 (Pascal s Formula For itegers ad such that 1, ( ( ( 1 1 + 1 The umbers ( 2 ( 1 2 ( 2 are triagle umbers, that is, The petago umbers
More informationThe Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size.
Lecture 7: Measure ad Category The Borel hierarchy classifies subsets of the reals by their topological complexity. Aother approach is to classify them by size. Filters ad Ideals The most commo measure
More informationV low. e H i. V high
ON SIZE RAMSEY NUMBERS OF GRAPHS WITH BOUNDED DEGREE VOJT ECH R ODL AND ENDRE SZEMER EDI Abstract. Aswerig a questio of J. Beck [B2], we prove that there exists a graph G o vertices with maximum degree
More informationIt is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function.
MATH 532 Measurable Fuctios Dr. Neal, WKU Throughout, let ( X, F, µ) be a measure space ad let (!, F, P ) deote the special case of a probability space. We shall ow begi to study real-valued fuctios defied
More informationA Lower Bound for the Rectilinear Crossing Number.
A Lower Boud for the Rectiliear Crossig Number. Berardo M. Ábrego, Silvia Ferádez-Merchat Califoria State Uiversity Northridge {berardo.abrego,silvia.feradez}@csu.edu ver 4 Abstract We give a ew lower
More informationThe t-tone chromatic number of random graphs
The t-toe chromatic umber of radom graphs Deepak Bal Patrick Beett Adrzej Dudek Ala Frieze March 6, 013 Abstract A proper -toe k-colorig of a graph is a labelig of the vertices with elemets from ( [k]
More informationAlmost intersecting families of sets
Almost itersectig families of sets Dáiel Gerber a Natha Lemos b Cory Palmer a Balázs Patkós a, Vajk Szécsi b a Hugaria Academy of Scieces, Alfréd Réyi Istitute of Mathematics, P.O.B. 17, Budapest H-1364,
More informationAn exact result for hypergraphs and upper bounds for the Turán density of K r r+1
A exact result for hypergraphs ad upper bouds for the Turá desity of K r r+1 Liyua Lu Departmet of Mathematics Uiversity of outh Carolia Columbia, C 908 Yi Zhao Departmet of Mathematics ad tatistics Georgia
More informationSingular Continuous Measures by Michael Pejic 5/14/10
Sigular Cotiuous Measures by Michael Peic 5/4/0 Prelimiaries Give a set X, a σ-algebra o X is a collectio of subsets of X that cotais X ad ad is closed uder complemetatio ad coutable uios hece, coutable
More informationn outcome is (+1,+1, 1,..., 1). Let the r.v. X denote our position (relative to our starting point 0) after n moves. Thus X = X 1 + X 2 + +X n,
CS 70 Discrete Mathematics for CS Sprig 2008 David Wager Note 9 Variace Questio: At each time step, I flip a fair coi. If it comes up Heads, I walk oe step to the right; if it comes up Tails, I walk oe
More informationWe will conclude the chapter with the study a few methods and techniques which are useful
Chapter : Coordiate geometry: I this chapter we will lear about the mai priciples of graphig i a dimesioal (D) Cartesia system of coordiates. We will focus o drawig lies ad the characteristics of the graphs
More information4.3 Growth Rates of Solutions to Recurrences
4.3. GROWTH RATES OF SOLUTIONS TO RECURRENCES 81 4.3 Growth Rates of Solutios to Recurreces 4.3.1 Divide ad Coquer Algorithms Oe of the most basic ad powerful algorithmic techiques is divide ad coquer.
More informationA Quantitative Lusin Theorem for Functions in BV
A Quatitative Lusi Theorem for Fuctios i BV Adrás Telcs, Vicezo Vespri November 19, 013 Abstract We exted to the BV case a measure theoretic lemma previously proved by DiBeedetto, Giaazza ad Vespri ([1])
More informationLecture 3 : Random variables and their distributions
Lecture 3 : Radom variables ad their distributios 3.1 Radom variables Let (Ω, F) ad (S, S) be two measurable spaces. A map X : Ω S is measurable or a radom variable (deoted r.v.) if X 1 (A) {ω : X(ω) A}
More informationLecture 8: Convergence of transformations and law of large numbers
Lecture 8: Covergece of trasformatios ad law of large umbers Trasformatio ad covergece Trasformatio is a importat tool i statistics. If X coverges to X i some sese, we ofte eed to check whether g(x ) coverges
More informationON THE CHROMATIC NUMBER OF GEOMETRIC HYPERGRAPHS
SIAM J. DISCRETE MATH. Vol. 21, No. 3, pp. 676 687 c 2007 Society for Idustrial ad Applied Mathematics ON THE CHROMATIC NUMBER OF GEOMETRIC HYPERGRAPHS SHAKHAR SMORODINSKY Abstract. A fiite family R of
More informationRandom Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A.
Radom Walks o Discrete ad Cotiuous Circles by Jeffrey S. Rosethal School of Mathematics, Uiversity of Miesota, Mieapolis, MN, U.S.A. 55455 (Appeared i Joural of Applied Probability 30 (1993), 780 789.)
More informationFundamental Concepts: Surfaces and Curves
UNDAMENTAL CONCEPTS: SURACES AND CURVES CHAPTER udametal Cocepts: Surfaces ad Curves. INTRODUCTION This chapter describes two geometrical objects, vi., surfaces ad curves because the pla a ver importat
More informationON POINTWISE BINOMIAL APPROXIMATION
Iteratioal Joural of Pure ad Applied Mathematics Volume 71 No. 1 2011, 57-66 ON POINTWISE BINOMIAL APPROXIMATION BY w-functions K. Teerapabolar 1, P. Wogkasem 2 Departmet of Mathematics Faculty of Sciece
More informationACO Comprehensive Exam 9 October 2007 Student code A. 1. Graph Theory
1. Graph Theory Prove that there exist o simple plaar triagulatio T ad two distict adjacet vertices x, y V (T ) such that x ad y are the oly vertices of T of odd degree. Do ot use the Four-Color Theorem.
More informationThe random version of Dvoretzky s theorem in l n
The radom versio of Dvoretzky s theorem i l Gideo Schechtma Abstract We show that with high probability a sectio of the l ball of dimesio k cε log c > 0 a uiversal costat) is ε close to a multiple of the
More informationTHE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS
THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS DEMETRES CHRISTOFIDES Abstract. Cosider a ivertible matrix over some field. The Gauss-Jorda elimiatio reduces this matrix to the idetity
More informationSection 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations
Differece Equatios to Differetial Equatios Sectio. Calculus: Areas Ad Tagets The study of calculus begis with questios about chage. What happes to the velocity of a swigig pedulum as its positio chages?
More informationLecture 2: April 3, 2013
TTIC/CMSC 350 Mathematical Toolkit Sprig 203 Madhur Tulsiai Lecture 2: April 3, 203 Scribe: Shubhedu Trivedi Coi tosses cotiued We retur to the coi tossig example from the last lecture agai: Example. Give,
More informationThe On-Line Heilbronn s Triangle Problem in d Dimensions
Discrete Comput Geom 38:5 60 2007 DI: 0.007/s00454-007-323-x Discrete & Computatioal Geometry 2007 Spriger Sciece+Busiess Media, Ic. The -Lie Heilbro s Triagle Problem i d Dimesios Gill Barequet ad Alia
More informationThis is an introductory course in Analysis of Variance and Design of Experiments.
1 Notes for M 384E, Wedesday, Jauary 21, 2009 (Please ote: I will ot pass out hard-copy class otes i future classes. If there are writte class otes, they will be posted o the web by the ight before class
More informationSTAT Homework 1 - Solutions
STAT-36700 Homework 1 - Solutios Fall 018 September 11, 018 This cotais solutios for Homework 1. Please ote that we have icluded several additioal commets ad approaches to the problems to give you better
More informationAn analog of the arithmetic triangle obtained by replacing the products by the least common multiples
arxiv:10021383v2 [mathnt] 9 Feb 2010 A aalog of the arithmetic triagle obtaied by replacig the products by the least commo multiples Bair FARHI bairfarhi@gmailcom MSC: 11A05 Keywords: Al-Karaji s triagle;
More informationLONG SNAKES IN POWERS OF THE COMPLETE GRAPH WITH AN ODD NUMBER OF VERTICES
J Lodo Math Soc (2 50, (1994, 465 476 LONG SNAKES IN POWERS OF THE COMPLETE GRAPH WITH AN ODD NUMBER OF VERTICES Jerzy Wojciechowski Abstract I [5] Abbott ad Katchalski ask if there exists a costat c >
More informationSequences and Series of Functions
Chapter 6 Sequeces ad Series of Fuctios 6.1. Covergece of a Sequece of Fuctios Poitwise Covergece. Defiitio 6.1. Let, for each N, fuctio f : A R be defied. If, for each x A, the sequece (f (x)) coverges
More informationLinear chord diagrams with long chords
Liear chord diagrams with log chords Everett Sulliva Departmet of Mathematics Dartmouth College Haover New Hampshire, U.S.A. everett..sulliva@dartmouth.edu Submitted: Feb 7, 2017; Accepted: Oct 7, 2017;
More information1+x 1 + α+x. x = 2(α x2 ) 1+x
Math 2030 Homework 6 Solutios # [Problem 5] For coveiece we let α lim sup a ad β lim sup b. Without loss of geerality let us assume that α β. If α the by assumptio β < so i this case α + β. By Theorem
More informationNotes for Lecture 11
U.C. Berkeley CS78: Computatioal Complexity Hadout N Professor Luca Trevisa 3/4/008 Notes for Lecture Eigevalues, Expasio, ad Radom Walks As usual by ow, let G = (V, E) be a udirected d-regular graph with
More informationSOME TRIBONACCI IDENTITIES
Mathematics Today Vol.7(Dec-011) 1-9 ISSN 0976-38 Abstract: SOME TRIBONACCI IDENTITIES Shah Devbhadra V. Sir P.T.Sarvajaik College of Sciece, Athwalies, Surat 395001. e-mail : drdvshah@yahoo.com The sequece
More informationMath 155 (Lecture 3)
Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,
More information(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3
MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special
More informationChapter 3. Strong convergence. 3.1 Definition of almost sure convergence
Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i
More informationCommon Coupled Fixed Point of Mappings Satisfying Rational Inequalities in Ordered Complex Valued Generalized Metric Spaces
IOSR Joural of Mathematics (IOSR-JM) e-issn: 78-578, p-issn:319-765x Volume 10, Issue 3 Ver II (May-Ju 014), PP 69-77 Commo Coupled Fixed Poit of Mappigs Satisfyig Ratioal Iequalities i Ordered Complex
More informationSome remarks for codes and lattices over imaginary quadratic
Some remarks for codes ad lattices over imagiary quadratic fields Toy Shaska Oaklad Uiversity, Rochester, MI, USA. Caleb Shor Wester New Eglad Uiversity, Sprigfield, MA, USA. shaska@oaklad.edu Abstract
More informationThe Local Harmonious Chromatic Problem
The 7th Workshop o Combiatorial Mathematics ad Computatio Theory The Local Harmoious Chromatic Problem Yue Li Wag 1,, Tsog Wuu Li ad Li Yua Wag 1 Departmet of Iformatio Maagemet, Natioal Taiwa Uiversity
More informationAssignment 5: Solutions
McGill Uiversity Departmet of Mathematics ad Statistics MATH 54 Aalysis, Fall 05 Assigmet 5: Solutios. Let y be a ubouded sequece of positive umbers satisfyig y + > y for all N. Let x be aother sequece
More informationSequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence
Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet
More informationSection 5.1 The Basics of Counting
1 Sectio 5.1 The Basics of Coutig Combiatorics, the study of arragemets of objects, is a importat part of discrete mathematics. I this chapter, we will lear basic techiques of coutig which has a lot of
More informationAlliance Partition Number in Graphs
Alliace Partitio Number i Graphs Lida Eroh Departmet of Mathematics Uiversity of Wiscosi Oshkosh, Oshkosh, WI email: eroh@uwoshedu, phoe: (90)44-7343 ad Ralucca Gera Departmet of Applied Mathematics Naval
More informationSpectral Partitioning in the Planted Partition Model
Spectral Graph Theory Lecture 21 Spectral Partitioig i the Plated Partitio Model Daiel A. Spielma November 11, 2009 21.1 Itroductio I this lecture, we will perform a crude aalysis of the performace of
More informationBalanced coloring of bipartite graphs
Balaced colorig of bipartite graphs Uriel Feige Shimo Koga Departmet of Computer Sciece ad Applied Mathematics Weizma Istitute, Rehovot 76100, Israel uriel.feige@weizma.ac.il Jue 16, 009 Abstract Give
More information4 The Sperner property.
4 The Sperer property. I this sectio we cosider a surprisig applicatio of certai adjacecy matrices to some problems i extremal set theory. A importat role will also be played by fiite groups. I geeral,
More informationLecture 27. Capacity of additive Gaussian noise channel and the sphere packing bound
Lecture 7 Ageda for the lecture Gaussia chael with average power costraits Capacity of additive Gaussia oise chael ad the sphere packig boud 7. Additive Gaussia oise chael Up to this poit, we have bee
More informationMath 220A Fall 2007 Homework #2. Will Garner A
Math 0A Fall 007 Homewor # Will Garer Pg 3 #: Show that {cis : a o-egative iteger} is dese i T = {z œ : z = }. For which values of q is {cis(q): a o-egative iteger} dese i T? To show that {cis : a o-egative
More informationf n (x) f m (x) < ɛ/3 for all x A. By continuity of f n and f m we can find δ > 0 such that d(x, x 0 ) < δ implies that
Lecture 15 We have see that a sequece of cotiuous fuctios which is uiformly coverget produces a limit fuctio which is also cotiuous. We shall stregthe this result ow. Theorem 1 Let f : X R or (C) be a
More informationProbabilistic Methods in Combinatorics
Probabilistic Methods i Combiatorics Po-She Loh Jue 2009 Warm-up 2 Olympiad problems that ca probably be solved. (Leigrad Math Olympiad 987, Grade 0 elimiatio roud Let A,..., A s be subsets of {,..., M},
More information1. By using truth tables prove that, for all statements P and Q, the statement
Author: Satiago Salazar Problems I: Mathematical Statemets ad Proofs. By usig truth tables prove that, for all statemets P ad Q, the statemet P Q ad its cotrapositive ot Q (ot P) are equivalet. I example.2.3
More informationThe standard deviation of the mean
Physics 6C Fall 20 The stadard deviatio of the mea These otes provide some clarificatio o the distictio betwee the stadard deviatio ad the stadard deviatio of the mea.. The sample mea ad variace Cosider
More informationEntropy and Ergodic Theory Lecture 5: Joint typicality and conditional AEP
Etropy ad Ergodic Theory Lecture 5: Joit typicality ad coditioal AEP 1 Notatio: from RVs back to distributios Let (Ω, F, P) be a probability space, ad let X ad Y be A- ad B-valued discrete RVs, respectively.
More informationA Hypergraph Extension. Bipartite Turán Problem
A Hypergraph Extesio of the Bipartite Turá Problem Dhruv Mubayi 1 Jacques Verstraëte Abstract. Let t, be itegers with t. For t, we prove that i ay family of at least t 4( ) triples from a -elemet set X,
More informationLecture 7: Properties of Random Samples
Lecture 7: Properties of Radom Samples 1 Cotiued From Last Class Theorem 1.1. Let X 1, X,...X be a radom sample from a populatio with mea µ ad variace σ
More information