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Random Graphs ’83, Based on lectures presented at the 1st Poznań Seminar on Random Graphs PDF

353 Pages·1985·9.66 MB·English
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RANDOM GRAPHS ’83 Based on lectures presented at the 1st Poznan Seminar on Random Graphs, August 23-25, 1983, organised and sponsored by the Institute of Mathematics, Adam Micltiewicz University, Poznan, Poland. Edited by Michal KAROQSKI and Andrzei RUCII’;SKI Admi Mickiewicz University Poznari, Poland 1985 NOR.rH~HOLLAND- AMSlERDAM . NEW YORK . OXFORD 0 Elsevier Science Publishers B. V., 1985 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the copyright owner. ISBN: 0 444 878211 Pubf ishers: ELSEVIER SCIENCE PUBLISHERS B.V. P. 0. Box 1991 1000 BZ Amsterdam The Netherlands Sole distributors for the U.S.A. and Canada: ELSEVIER SCIENCE PUBLISHING COMPANY, INC. 52 Vandcrbilt Avenue New York, N.Y. 10017 U.S.A. Library of Congress Catalogiu~i n Publicnlion Data Main entry under title: Random Graphs ’83. (Annals of Discrete Mathcnratics; 28) (North-Holland mathenlatics stitdies; 118) “Sponsored by the Institute of Mathematics, Adam Mickiewicz Uni- versity, Pornad, Poland” A selected collection of papcrs based on lectures presented at the 1st Poznari Seminar on Random Graphs held at Adam Mickiewicz University, Poznari, Poland, in August 1983. 1. Random Graphs--Probabilistic Methods in Combinatorics--Addresses, essays, lectures. I. Karonaki, M. (Michnl), 1946-. 11. Rucinski, A. (Andrzej), 1955-. IIJ. lnstitute of Mathematics, Adam Mickiewicz University, Pomah. Poland. IV. Series. V. Series: North-Holland mathematics studies; 118. ISBN 0-444-87821 I PRINTED IN POLAND PREFACE Random graphs, as a separate area of research, emerged in the form of the series of the fundamental works of Erdos and RCnyi in the early sixties. However, the history of this new branch can be traced back to the applications of probability methods to combinatorics originated by Szekeres, TurBn, Szele and Erdos in the forties. In recent years random graphs have attracted, and still continue to attract, a considerable interest all over the world. This is documented by ever growing number of papers in this area and published in the variety of combinatorial, probabilistic as well as general mathematical journals. It was for want of an international forum on random graphs that we decided to suppleinent our Pozna6 Seminar with biennial mcetiiigs, thus providing a platform for an exchange of ideas between iiiatheniaticians working in this field. The opportunity of starting meetings arobe while the International Congress of Mathematicians (ICM) was held in Poland in 19S3. The first seminar, to which a representative group of researchers was invited, took place in August 23-25, 1983 in Poznali at Adam Mickiewicz University. Forty mathematicians from twelve countries attended the sessions. Profcssors Paul Erdos and Jocl Spencer delivered invited plenary lectures, and Professor Wiadyslaw Orlicz, the Honorary President of the ICM Warsaw meeting, was our special guest. A highly stimulating, informal atmosphere during the meeting strongly contrib- uted to a fruitful exchange or opinioiisaswell as to the initiation of many pro- fessional contacts. The prcsent volume covers a wide scope of random graphs topics such as structure, colouring, algorithms, mappings, trees, network flows, and percolation. Papers in this collection also illustrate the application of probability methods to Rainsey’s problems, the application of graph theory methods to probability, and relations between games on graphs and random graphs. All the papers presented, some by authors who for various reasons were not able to take part at the seminar, were subject to a refereeing process. We are very grateful to all referees for their outstanding contributions. We also wish to acknowledge the substantial help provided by Adam Mickie- wicz University, the sponsor of the meeting, and Professor Andrzej Alexiewicz, Director of the Institute of Mathematics. Our sincere thanks are also due to the General Editor and the Publishers of this series for their encouraging support. Poznali, September 1984 Michal KAROSSSKI and Andrzej RUCIfiSKI V LIST OF PARTICIPANTS J. Beck, Budapest, Hu11g~11.y S. Berg, Luntl, Sweden H. Rielak, Lublin, Poland M. Dondajewski, Poznati, Polrind P. Erdos, Budapest, Hungury Z. Furedi, Budapest, Himgary G. Grimnett, Bristol, Englmd J. Gruszka, Pomari, Polund S. Janson, Uppsala, Swcden J. Jaworski, Poznaii, Poland F. Juhasz, Budapest, Hiingary R. Kalinowski, Crucow, Poland M. KaroAski, Poznati, Poland G. 0. H. Katona, Budapest, Hzingury J. Knoska, Poznali, Poland K. Kuulasmaa, Oulu, Finland Z. Loiic, Warsaw, Poland D. W. Matula, Dallas, U.S.A. L. Mutafciev, Sojia, Bulgaria J. NeSetFil, Pragtie, C.S.S.R . Z. Palka, Poznati, Poland J. Raburski, Poznari, Poland A. Ruciriski, Poznali, Poland P. Sablik, Poznati, Polana' S. Samulski, Poznah, Poland M. Skowroriska, Toriiri, Poland Z. Skupieri, Cracow, Poland I. H. Smit, Anistcrdain, Holland E. Soczewiriska, Lublin, Poland J. Spencer, Stony Brook, U.S.A. J. L. Spouge, Oxford, Englanci W-C. S. Suen, Bristol, England L. Szaiiikolow icz, wroc/aw, Polcind J. Szyniariski, Poznak, Poland A. TruszczyAska, Warsaw, Poland M. Truszczyriski, Warsaw, Polanrl W. F. de la Vega, Paris, France B. Voigt, Bielefeld, West Germany K. Weber, Rostock, G.D.R. J. C. Wiernian, Baltimore, U.S.A. viii Annals of Discrete Mathematics 28 (1985) 1-5 0 Els-vier Science Publishers B. V. (North-Holland) WELCOMING ADDRESS PAUL ERDOS Matliernarical Itwritrite of the Ilungariaiz Academy of Sciences, H-1053 Biidfipesi, Iliiti,;vzry It g;ves me great pleasure to g've this welcoming address to the first Poznari meeting on random graphs. Perhaps the aud'ence will forgive a very old Jllm to g.vc a few historical reminiscences liow I came to apply probability methods in combinatorlal analysis. I niLi5t do this while my mind and memory are st 11 more or le55 intact. 1 do not intend to g ve a history of the probability method but will restrict myself almost entirely to my own contributions. I will start with liamsey's theorem. Denote by r(u, u) the smallest integer for which every graph of r(u, u) vertices either contains a complete p p h o f u vertices or an independcnt set of u vertices. The well known proof ol Szekeres gives ( ::y ' ) (;I;). r(u, v)< and in particular r(n , n)q No non-trivial lower bounds were known. In 1946 (after many failures) it occurred to me to try non-constructive methods it. consider all possible graphs on m labelled vertices (there are clearly )'(2 such graphs), a very simple computation shows that if n m < cn22 then the number of graphs on m vertices which contain a K(n) (i.e. a complete (''"1 graph of n vertices) or an independent set of n vertices is o(2 ). This of course implies 1 2 P. Erdos By using a lemma of Loviisz, Spencer improved the values of the constant in (2), but as far as I know I (It , 11) lim-,--=co n22 is still open. I offered (and offer) 100 dollars for the proof of the existence of 1 lim r(n, n>” and 500 dollars for the determination of the value of this limit (this latter offer probably violates the minimum wage act). The limit if it exists (it surely docs) is between 2”’ and 4. My next success with the probability method was to give a good lower bound for 43,n ). 1 was always sure that r(3, n)=o(n2)a nd _r(_3’ _n) -+co but for many n years 1 could get nowhere. In November 1956 in the bus travelling from the Dow- kers (Yael and Hugh) to University College London I realized that by a construc- tion in n-dimensional geometry I can show that r(3, Ii)>nl+‘. By a fairly corn- plicated application of the probability method (later simplified by Spencer) I showed that A few years later (1966) Graver and Yackel showed cn r(3, n)< -1oglogn. log n I offered 50 dollars for r(3, n)=o(n2). They also used the probability method. Recently Ajtai, Komlds and Szemer6di proved by a new method (which has many other applications and is also probabilistic in nature) that cn2 r(3,n)c--. log n An asymptotic formula for r(3, n) is nowhere in sight at the moment. I was (and am) sure that r(4, n)>n3-& and more generally r(k, n)>nk-e for every fixed k, and was very dlsappointed that the probability method gives only a much weaker result. Several other mathematicians tried without success this natural and attractive conjecture. 1 offer 250 dollars for a proof or disproof of r(4, ~l)>n~t-h~e ,d ifficulties are perhaps not only technical in nature. Welcoming address 3 Very few Ramsey numbers are known, r(4,4)= IS was proved by Greenwood and Gleason in 1955. r(3, n) is known for all n Q9 except n = 8. I sometimes make the following joke in my lectures: Suppose an evil spirit would tell us, “Unless you tell me the value of r(5, 5) I will exterminate the human race.” Our best strategy would perhaps be to get all the computers and computer scientists to work on it.If he would ask for r(G,6) our be,t bet would perhaps be to try to destroy him before he destroys us (unfortunately we are very good at destroying [especially ourselves]). If we could be so smart as to be able to compute these numbers without computcrs, we would not have to pay any attention to the evil spirit and could tell him “just try and see what will happcn to you.” For the sake of historical accuracy I have to add that in fact several years before the work on r(3, n) I proved by probabilistic methods for every k and I there is a graph of chromatic number k and girth 1. Lovrisz and later NeSetEil and Rod1 obtained a constructive proof of this resull. As far as 1 know there is no constructive proof for the following result of mine (which follows quite easily from the probabilistic method): For evcry k there is an &k so that for every n> n,(c, k) there is a Ci(n) i.e. a graph of n vertices of girth > k for which the largest independent (or stable) set is </z’-(a~n d therefore of course its chromatic number is >ne). Let me now tell you two “spectacular” (?)s uccesses which I had with the prob- ability method. In 1962 Professor Schlitte at a meeting in Oberwolfach asked me the following question: Is it true that for every k there is a tournament for which every set of k players is beaten by one of the other players? Denote by nk (if it exists) the smallest number of players in such a tournament. Schutte observed that nl=3, n2=7, but he d’d not know if rz3 exists. In the language of graph theory a tournament is a directed complete graph. Schutte’s problem asks for a directed complete graph in which for every set of k vertices xl, ... , xk there is a y so that all the edges are directed from y to xi, i= 1,2, -..,k . At first 1 was baffled by this problem but then while I was resting for a few minutes after lunch it occurred to me to try the probability method and to direct the edges at random. Sure enough I proved without much trouble that for every n>ck2zk there is such a tournament on n players. In other words nk<ck22‘. n, >2k+1- 1 is easy and a few years later Esther and George Szekeres proved nk>ck2k and they also showed n3= 19. An asymptotic formula for nk is nowhere in s;ght at the moment and the value or n4 is also unknown. The following interesting problem remains open. Is it true that for every n>nk there is a tournament on n players in which every set of k players is beaten by another player. I was never able to get anywhere with this simple and attractive problem. Pcrhaps I overlook a simple argument but perhaps this problem can not be attacked by the probability method. My second triumph occurred at dinner at St John’s College in the summer 4 P. Erdiis of 1971. Professor Mordell who invited ine told me, “I know you are willing and eager to talk Mathematics at any time, sit down next to my young colleague, he is working in functional analysis and he has a coinbinatorial problem whose positive solution would be useful for his work.” The problem stated as follows: Let there be g ven an n by n matrix all whose entries are 0 or 1. Assume that the number of 0’s is >cn2 where O<c<l is a constant independent of ti. Is it then true that there is a rectangle of u coluinns and u rows which consists mtircly of U’V 0-s and for which ---+aH.e re I could give the answer berore I finished my n soup. The answer is negative and in fact for almost all such (0, 1) matrices max u * u=( 1 +o (1))max rc‘n. (7) r (7) follows quite easily by the probability method. The unhappy ending is that the negative answer was of no usc for the problcm of my colleague. As a triumph I could also mention our disproof with Fiijtlowicz (in this case he suggested the probabilistic approach) of a well known conjecture of Ha$. Here Callin earlier disproved the conjccture by a simple exiiinpk, the point of our disproof was that we disproved the conjccture in a very strong form. As you will see from the Icctutes which will follow our subject is dclinitcly alive and there are many successes but also unsolvxi problems. To finish this address 1 just make two remarks. As far as I know this method was perhaps first used in combinatorial analysis in a paper by Szckercs and Turin written nearly 50 years ago. They estimate the maximum possible value of an n by n determinant all whose entries are 0 or 1, and Szele in a paper written more than 40 years ago estimates the maximum number of possible directed harnilton- ian cycles of a directed complete graph. Finally, mainly due to considerations of space I did not discuss our papers with RCnyi on evolution of random graphs a subject which is certainly alive, RCnyi always wanted to apply these ideas to physics (change of state) and perhaps to traffic engineering i.e. when a super- highway at a certain traffic density suddenly turns into a giant parking lot, these phenomena may be related to the appearance of the giant component if the number n of edges is > -( 1 +E). RCnyi’s untimely death prevented his investigating these 2 questions, perhaps this work will be taken up by others in the future. I would just like to mention one problem due to Shamir which is very attractive and which R6nyi and I unfortunately missed: Let there be given a set of 3n vertices and m triples chosen at random. How large must m be that with probability tending to 1 the m triples should contain n disjoint triples, then of course these n triples will form a cover. Shamir proved that m<n3I2 suffices for this but perhaps Welcoming address 5 or even c11 log n triples could suffice. RCnyi and I solved the case of graphs instead of triples atid there (~j+~l)ong /I suffices. Most of the results I referred to in this note can be Found in ErdBs-Spencer probabilistic methodsin combinatoricaanalysjs or in my book Tlir Art of Cowifing, see also the book of Moon on tournamenls. 13. Rollobis i.4 writing a book on random graphs which 1 hope will appear soon. Perhaps I should end by remarking that the probability used here is rather elementary, in fact, when I lectured 35 years ago at the University of Illinois on r(n, tI)>C/7 2”12 Doob remnikzd, ‘‘This is very nice but it is morc 1;kecounting than probability.” I think Doob was right, but perhaps the later applications are a little more sophisticated. G. Szekeres and P. Turin, An cxtrenial pl-oblcin in the thcory of dctcrniinants, Math. es TermCszettudominyi Ertesit8 (1937) 796-806. This was a publication of tlic Hungarian Academy of Scicnces, thc paper is in Hung:irian. T. Szelc, Conibinatorial investigations concerning the complete graph, Mat. Fiz. Lapok 50 (1943) 223-256 (in Hungarian).

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