Formalization of Some Central Theorems in Combinatorics of Finite
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Proofs from the BOOK.Pdf
Martin Aigner Günter M. Ziegler Proofs from THE BOOK Fourth Edition Martin Aigner Günter M. Ziegler Proofs from THE BOOK Fourth Edition Including Illustrations by Karl H. Hofmann 123 Prof. Dr. Martin Aigner Prof.GünterM.Ziegler FB Mathematik und Informatik Institut für Mathematik, MA 6-2 Freie Universität Berlin Technische Universität Berlin Arnimallee 3 Straße des 17. Juni 136 14195 Berlin 10623 Berlin Deutschland Deutschland [email protected] [email protected] ISBN 978-3-642-00855-9 e-ISBN 978-3-642-00856-6 DOI 10.1007/978-3-642-00856-6 Springer Heidelberg Dordrecht London New York c Springer-Verlag Berlin Heidelberg 2010 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: deblik, Berlin Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Preface Paul Erdosliked˝ to talk aboutThe Book, in which God maintainsthe perfect proofsfor mathematical theorems, following the dictum of G. -
Chapter 1. Combinatorial Theory 1.3: No More Counting Please 1.3.1
Chapter 1. Combinatorial Theory 1.3: No More Counting Please Slides (Google Drive) Alex Tsun Video (YouTube) In this section, we don't really have a nice successive ordering where one topic leads to the next as we did earlier. This section serves as a place to put all the final miscellaneous but useful concepts in counting. 1.3.1 Binomial Theorem n We talked last time about binomial coefficients of the form k . Today, we'll see how they are used to prove the binomial theorem, which we'll use more later on. For now, we'll see how they can be used to expand (possibly large) exponents below. You may have learned this technique of FOIL (first, outer, inner, last) for expanding (x + y)2. We then combine like-terms (xy and yx). (x + y)2 = (x + y)(x + y) = xx + xy + yx + yy [FOIL] = x2 + 2xy + y2 But, let's say that we wanted to do this for a binomial raised to some higher power, say (x + y)4. There would be a lot more terms, but we could use a similar approach. 1 2 Probability & Statistics with Applications to Computing 1.3 (x + y)4 = (x + y)(x + y)(x + y)(x + y) = xxxx + yyyy + xyxy + yxyy + ::: But what are the terms exactly that are included in this expression? And how could we combine the like-terms though? Notice that each term will be a mixture of x's and y's. In fact, each term will be in the form xkyn−k (in this case n = 4). -
Exploring Topics of the Art Gallery Problem
The College of Wooster Open Works Senior Independent Study Theses 2019 Exploring Topics of the Art Gallery Problem Megan Vuich The College of Wooster, [email protected] Follow this and additional works at: https://openworks.wooster.edu/independentstudy Recommended Citation Vuich, Megan, "Exploring Topics of the Art Gallery Problem" (2019). Senior Independent Study Theses. Paper 8534. This Senior Independent Study Thesis Exemplar is brought to you by Open Works, a service of The College of Wooster Libraries. It has been accepted for inclusion in Senior Independent Study Theses by an authorized administrator of Open Works. For more information, please contact [email protected]. © Copyright 2019 Megan Vuich Exploring Topics of the Art Gallery Problem Independent Study Thesis Presented in Partial Fulfillment of the Requirements for the Degree Bachelor of Arts in the Department of Mathematics and Computer Science at The College of Wooster by Megan Vuich The College of Wooster 2019 Advised by: Dr. Robert Kelvey Abstract Created in the 1970’s, the Art Gallery Problem seeks to answer the question of how many security guards are necessary to fully survey the floor plan of any building. These floor plans are modeled by polygons, with guards represented by points inside these shapes. Shortly after the creation of the problem, it was theorized that for guards whose positions were limited to the polygon’s j n k vertices, 3 guards are sufficient to watch any type of polygon, where n is the number of the polygon’s vertices. Two proofs accompanied this theorem, drawing from concepts of computational geometry and graph theory. -
Paul Erdős Mathematical Genius, Human (In That Order)
Paul Erdős Mathematical Genius, Human (In That Order) By Joshua Hill MATH 341-01 4 June 2004 "A Mathematician, like a painter or a poet, is a maker of patterns. If his patterns are more permanent that theirs, it is because the are made with ideas... The mathematician's patterns, like the painter's or the poet's, must be beautiful; the ideas, like the colours of the words, must fit together in a harmonious way. Beauty is the first test: there is no permanent place in the world for ugly mathematics." --G.H. Hardy "Why are numbers beautiful? It's like asking why is Beethoven's Ninth Symphony beautiful. If you don't see why, someone can't tell you. I know numbers are beautiful. If they aren't beautiful, nothing is." -- Paul Erdős "One of the first people I met in Princeton was Paul Erdős. He was 26 years old at the time, and had his Ph.D. for several years, and had been bouncing from one postdoctoral fellowship to another... Though I was slightly younger, I considered myself wiser in the ways of the world, and I lectured Erdős "This fellowship business is all well and good, but it can't go on for much longer -- jobs are hard to get -- you had better get on the ball and start looking for a real honest job." ... Forty years after my sermon, Erdős hasn't found it necessary to look for an "honest" job yet." -- Paul Halmos Introduction Paul Erdős (said "Air-daish") was a brilliant and prolific mathematician, who was central to the advancement of several major branches of mathematics. -
Proofs from the BOOK Third Edition Springer-Verlag Berlin Heidelberg Gmbh Martin Aigner Gunter M
Martin Aigner Gunter M. Ziegler Proofs from THE BOOK Third Edition Springer-Verlag Berlin Heidelberg GmbH Martin Aigner Gunter M. Ziegler Proofs from THE BOOK Third Edition With 250 Figures Including Illustrations by Karl H. Hofmann Springer Martin Aigner Gunter M. Ziegler Freie Universitat Berlin Technische Universitat Berlin Institut flir Mathematik II (WE2) Institut flir Mathematik, MA 6-2 Arnimallee 3 StraBe des 17. Juni 136 14195 Berlin, Germany 10623 Berlin, Germany email: [email protected] email: [email protected] Cataloging-in-Publication Data applied for A catalog record for this book is available from the Library of Congress Bibliographic information published by Die Deutsche Bibliothek Die Deutsche Bibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available in the Internet at http://dnb.ddb.de. Mathematics Subject Classification (2000): 00-01 (General) ISBN 978-3-662-05414-7 ISBN 978-3-662-05412-3 (eBook) DOl 10 .1007/978-3 -662-05412-3 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Viola tions are liable for prosecution under the German Copyright Law. © Springer-Verlag Berlin Heidelberg 1998,2001,2004 Originally published by Springer-Verlag Berlin Heidelberg New York in 2004. -
Lecture 6: Entropy
Matthew Schwartz Statistical Mechanics, Spring 2019 Lecture 6: Entropy 1 Introduction In this lecture, we discuss many ways to think about entropy. The most important and most famous property of entropy is that it never decreases Stot > 0 (1) Here, Stot means the change in entropy of a system plus the change in entropy of the surroundings. This is the second law of thermodynamics that we met in the previous lecture. There's a great quote from Sir Arthur Eddington from 1927 summarizing the importance of the second law: If someone points out to you that your pet theory of the universe is in disagreement with Maxwell's equationsthen so much the worse for Maxwell's equations. If it is found to be contradicted by observationwell these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of ther- modynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation. Another possibly relevant quote, from the introduction to the statistical mechanics book by David Goodstein: Ludwig Boltzmann who spent much of his life studying statistical mechanics, died in 1906, by his own hand. Paul Ehrenfest, carrying on the work, died similarly in 1933. Now it is our turn to study statistical mechanics. There are many ways to dene entropy. All of them are equivalent, although it can be hard to see. In this lecture we will compare and contrast dierent denitions, building up intuition for how to think about entropy in dierent contexts. The original denition of entropy, due to Clausius, was thermodynamic. -
The Art Gallery Theorem
Outline The players The theorem The proof from THE BOOK Variations The Art Gallery Theorem Vic Reiner, Univ. of Minnesota Monthly Math Hour at UW May 18, 2014 Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations 1 The players 2 The theorem 3 The proof from THE BOOK 4 Variations Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations Victor Klee, formerly of UW Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations Klee’s question posed to V. Chvátal Given the floor plan of a weirdly shaped art gallery having N straight sides, how many guards will we need to post, in the worst case, so that every bit of wall is visible to a guard? Can one do it with N=3 guards? Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations Klee’s question posed to V. Chvátal Given the floor plan of a weirdly shaped art gallery having N straight sides, how many guards will we need to post, in the worst case, so that every bit of wall is visible to a guard? Can one do it with N=3 guards? Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations Vasek Chvátal: Yes, I can prove that! Vic Reiner, Univ. -
3.1 Prime Numbers
Chapter 3 I Number Theory 159 3.1 Prime Numbers Prime numbers serve as the basic building blocks in the multiplicative structure of the integers. As you may recall, an integer n greater than one is prime if its only positive integer multiplicative factors are 1 and n. Furthermore, every integer can be expressed as a product of primes, and this expression is unique up to the order of the primes in the product. This important insight into the multiplicative structure of the integers has become known as the fundamental theorem of arithmetic . Beneath the simplicity of the prime numbers lies a sophisticated world of insights and results that has intrigued mathematicians for centuries. By the third century b.c.e. , Greek mathematicians had defined prime numbers, as one might expect from their familiarity with the division algorithm. In Book IX of Elements [73], Euclid gives a proof of the infinitude of primes—one of the most elegant proofs in all of mathematics. Just as important as this understanding of prime numbers are the many unsolved questions about primes. For example, the Riemann hypothesis is one of the most famous open questions in all of mathematics. This claim provides an analytic formula for the number of primes less than or equal to any given natural number. A proof of the Riemann hypothesis also has financial rewards. The Clay Mathematics Institute has chosen six open questions (including the Riemann hypothesis)—a complete solution of any one would earn a $1 million prize. Working toward defining a prime number, we recall an important theorem and definition from section 2.2. -
The Pigeonhole Principle
The Pigeonhole Principle The pigeonhole principle is the following: If m objects are placed into n bins, where m > n, then some bin contains at least two objects. (We proved this in Lecture #02) Why This Matters ● The pigeonhole principle can be used to show a surprising number of results must be true because they are “too big to fail.” ● Given a large enough number of objects with a bounded number of properties, eventually at least two of them will share a property. ● The applications are extremely deep and thought-provoking. Using the Pigeonhole Principle ● To use the pigeonhole principle: ● Find the m objects to distribute. ● Find the n < m buckets into which to distribute them. ● Conclude by the pigeonhole principle that there must be two objects in some bucket. ● The details of how to proceeds from there are specific to the particular proof you're doing. Theorem: For any natural number n, there is a nonzero multiple of n whose digits are all 0s and 1s. Theorem: For any natural number n, there is a nonzero multiple of n whose digits are all 0s and 1s. 1 11 111 1111 11111 There are 10 objects here. 111111 1111111 11111111 111111111 1111111111 Theorem: For any natural number n, there is a nonzero multiple of n whose digits are all 0s and 1s. 0 1 11 1 111 2 1111 11111 3 111111 4 1111111 11111111 5 111111111 6 1111111111 7 8 Theorem: For any natural number n, there is a nonzero multiple of n whose digits are all 0s and 1s. -
1 Books 2 Papers
1 Books • J. Matoušek, Lectures on Discrete Geometry • N. Alon and J. Spencer, The Probabilistic Method, 3rd edition • M. Aigner and G. Ziegler, Proofs from the BOOK • B. Bollobás, The art of mathematics (Coffee time in Memphis) • J. Matousek, Thirty-three miniatures: mathematical and algorithmic ap- plications of linear algebra • S. Jukna, Extremal combinatorics 2 Papers • P. Erdős and S. Fajtlowicz, On a conjecture of Hajós, Combinatorica 1 (1981), 141-143. and C. Thomassen, Some remarks on Hajós conjecture, J. Combin. Theory Ser. B 93 (2005), 95-105. • F. Chung, R. Graham, and R. Wilson, Quasi-random graphs, Combina- torica 9 (1989), 345-362. • J. Shearer, A note on the independence number of triange-free graphs, Discrete Math 46 (1983), 83-87. • A. Schrijver, A short proof of Minc’s conjecture, J. Combinatorial Theory Ser. A 25 (1978), 80-83. (see also Alon and Spencer book, page 22) • P. Erdős, J. Pach, J. Pyber, Isomorphic subgraphs in a graph, in: Com- binatorics (Eger, 1987), Colloq. Math. Soc. János Bolyai, 52, North- Holland, Amsterdam, 1988, 553–556. • M. Goemans and D. Williamson, Improved algorithms for maximum cut and satisfiability problems using semidefinite programming, J. ACM 42 (1995), 1115-1145. • P. Erdős and S. Shelah, On a problem of Moser and Hanson, Graph the- ory and applications, Lecture Notes in Math., Vol. 303, Springer, Berlin (1972), 75-79. • S. Brandt, On the structure of graphs with bounded clique number, Com- binatorica 23 (2003), 693-696. 1 • Hamiltonicity and pancyclicity, G. Dirac, Some theorems on abstract graphs, Proc. London Math. Soc., 2 (1952), 69-81. -
The Pigeonhole Principle
Prof. Jim Loveys Rosalie Bélanger-Rioux MATH 352 : Problem Seminar 260235216 The Pigeonhole Principle The pigeonhole principle, also known as Dirichlet’s box or drawer principle, is a very straightforward principle which is stated as follows : Given n boxes and m > n objects, at least one box must contain more than one object. This was first stated in 1834 by Dirichlet. The proof is very easy : assume we are given n boxes and m > n objects. Then suppose, to the contrary, that no box contains more than one object, i. e., all n boxes contain either 0 or 1 object. This implies that the total number of objects, m, is smaller than or equal to n. This contradicts our hypothesis, and so the pigeonhole principle is true. Of course, this principle has many formulations and variations. For example, if n objects are put into n boxes, then at least one box is empty iff one box contains more than one object. Let us now give a more formal statement of Dirichlet’s box principle : There exists a one-one correspondence between two finite sets A and B, f : A -> B iff their number of elements is the same, i. E., |A| = |B|. No matter how we state the pigeonhole principle, using it in a problem solving situation implies two things : finding your “boxes” and finding your “objects”. The nice thing about this is that just about anything in mathematics can be made a “box” (a polygon, a volume in space, an edge, a color, a distance, an interval, a value…) or an “object” (a point, a polynomial, a vertex, a line…) to one’s liking. -
Monskyn Lause Neliölle
CORE Metadata, citation and similar papers at core.ac.uk Provided by Helsingin yliopiston digitaalinen arkisto Monskyn lause neliölle Linda Lumio 17. marraskuuta 2016 HELSINGIN YLIOPISTO — HELSINGFORS UNIVERSITET — UNIVERSITY OF HELSINKI Tiedekunta/Osasto — Fakultet/Sektion — Faculty Laitos — Institution — Department Matemaattis-luonnontieteellinen Matematiikan ja tilastotieteen laitos Tekijä — Författare — Author Linda Lumio Työn nimi — Arbetets titel — Title Monskyn lause nelille Oppiaine — Läroämne — Subject Matematiikka Työn laji — Arbetets art — Level Aika — Datum — Month and year Sivumäärä — Sidoantal — Number of pages Pro gradu -tutkielma Marraskuu 2016 36 s. Tiivistelmä — Referat — Abstract Tässä työssä tutkitaan neliön tasaosittamiseen liittyvää Monskyn lausetta sekä esitellään sen todistamisessa tarvittava matemaattinen koneisto. Monskyn lause on matemaattinen lause, joka yhdistää kaksi toisistaan näennäisesti erillistä matematiikan osa-aluetta. Lauseen mukaan neliötä ei voida osittaa parittomaan määrään kolmioita, joilla on keskenään sama pinta-ala. Päämää- ränä on esitellä Monskyn lauseen todistamiseen tarvittava koneisto sekä itse lause ja tämän todistus. Monskyn lauseen merkittävyys piilee siinä, että sen todistus rakentuu kahdesta (tai kolmesta) osasta, jotka yhdistävät kaksi näennäisesti erillistä matematiikan osa-aluetta, topologian ja al- gebran. Todistuksen topologinen osuus tiivistyy niin kutsuttuun Spernerin lemmaan, josta on työssä esitetty useampi versio. Todistuksen algebrallinen osuus puolestaan sisältää valuaatiot