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By
Adrian Bolt, Iowa State University, Ames, IA 50011, USA,
Steve Butler, Iowa State University, Ames, IA 50011, USA,
Espen Hovland, Iowa State University, Ames, IA 50011, USA
By
Fan Chung, University of California at San Diego, La Jolla, CA 92093, USA,
Ron Graham, University of California at San Diego, La Jolla, CA 92093, USA
By
Christian Reiher, Fachbereich Mathematik, Universität Hamburg, 20146 Hamburg, Germany,
Vojtěch Rödl, Department of Mathematics and Computer Science, Emory University, Atlanta, GA 30322, USA,
Mathias Schacht, Fachbereich Mathematik, Universität Hamburg, 20146 Hamburg, Germany
By
Peter Frankl, Alfréd Rényi Institute of Mathematics, Hungarian Academy of Sciences, H-1053 Budapest, Hungary,
Andrey Kupavskii, Moscow Institute of Physics and Technology, Dolgobrudny, Moscow Region, 141701, Russian Federation; and University of Birmingham, Birmingham, B15 2TT, UK
By
Rudolph Lorentz, Science Program, Texas A…M University at Qatar, Doha, Qatar,
Salvatore Tringali, Institute for Mathematics and Scientific Computing, University of Graz, NAWI Graz, Heinrichstr. 36, 8010 Graz, Austria,
Catherine H. Yan, Department of Mathematics, Texas A…M University, College Station TX 77845, USA
By
William T. Trotter, School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332, USA,
Bartosz Walczak, Theoretical Computer Science Department, Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków 30-348, Poland,
Ruidong Wang, Blizzard Entertainment, Irvine, CA 92618, USA
Motivated by quite recent research involving the relationship between the dimension of a poset and graph-theoretic properties of its cover graph, we show that for every, if P is a poset and the dimension of a subposet B of P is at most d whenever the cover graph of B is a block of the cover graph of P, then the dimension of P is at most d + 2.We also construct examples that show that this inequality is best possible. We consider the proof of the upper bound to be fairly elegant and relatively compact. However, we know of no simple proof for the lower bound, and our argument requires a powerful tool known as the Product Ramsey Theorem. As a consequence, our constructions involve posets of enormous size.
Introduction
We assume that the reader is familiar with basic notation and terminology for partially ordered sets (here we use the short term posets), including chains and antichains, minimal and maximal elements, linear extensions, order diagrams, and cover graphs. Extensive background information on the combinatorics of posets can be found in [17, 18].
We will also assume that the reader is familiar with basic concepts of graph theory, including the following terms: connected and disconnected graphs, components, cut vertices, and k-connected graphs for an integer. Recall that when G is a connected graph, a connected induced subgraph H of G is called a block of G when H is 2-connected and there is no subgraph of G which contains H as a proper subgraph and is also 2-connected.
Here are the analogous concepts for posets. A poset P is said to be connected if its cover graph is connected. A subposet B of P is said to be convex if y ∈ B whenever x, z ∈ B and x < y < z in P. Note that when B is a convex subposet of P, the cover graph of B is an induced subgraph of the cover graph of P. A convex subposet B of P is called a component of P when the cover graph of B is a component of the cover graph of P. A convex subposet B of P is called a block of P when the cover graph of B is a block in the cover graph of P.
This chapter describes work of Erdőss, Klarner, and Rado on semigroups of integer affine maps and on sets of integers they generate. It gives the history of problems they studied, some solutions, and new unsolved problems that arose from them.
Introduction
This chapter describes the history of an Erdőss problem on iteration of integer affine functions, gives its solution, and tours some related work. An integer affine function of one variable is a function of the form f (x) = mx + b for integers m, b. The Erdőss problem concerns the structure of integer orbits of a particular finitely generated semigroup of integer affine functions, with the semigroup operation being composition of maps.
In the early 1970s David Klarner and Richard Rado studied integer orbits of semigroups of such affine functions in an arbitrary number of variables, motivated by the work of Crampin and Hilton on self-orthogonal Latin squares described in the text that follows. In response to a question they posed about a particular example, Paul Erdőss proved a theorem on the size of an orbit for certain semigroups of univariate functions, upper bounding the number of integers below a given cutoff T occurring in such orbits, cf. [37, Theorem 8]. Erdős's interest in this orbit problem led him to offer a reward for a particular semigroup iteration problem. This problem was solved by Crampin and Hilton in 1972, but their solution was never published. We supply a reconstructed solution here.
We also present a history of selected later developments, including work of Mike Fredman, Don Knuth, David Klarner, and Don Coppersmith. Their work addresses the structure of particular affine integer semigroups, and sufficient conditions for an integer affine semigroup to be freely generated. The latter topic led Klarner to pose in 1982 several easy-to-state problems in the spirit of Erdős's prize problem, given at the end of the chapter, which remain unsolved.
By
Jan Hubička, Computer Science Institute of Charles University (IUUK), Charles University, 11800 Praha, Czech Republic,
Jaroslav Nešetřil, Computer Science Institute of Charles University (IUUK), Charles University, 11800 Praha, Czech Republic
A set of points in d-dimensional Euclidean space is almost equidistant if, among any three points of the set, some two are at distance 1. We show that an almost-equidistant set in ℝd has cardinality O(d4/3).
Permutation groups, their fundamental theory and applications are discussed in this introductory book. It focuses on those groups that are most useful for studying symmetric structures such as graphs, codes and designs. Modern treatments of the O'Nan–Scott theory are presented not only for primitive permutation groups but also for the larger families of quasiprimitive and innately transitive groups, including several classes of infinite permutation groups. Their precision is sharpened by the introduction of a cartesian decomposition concept. This facilitates reduction arguments for primitive groups analogous to those, using orbits and partitions, that reduce problems about general permutation groups to primitive groups. The results are particularly powerful for finite groups, where the finite simple group classification is invoked. Applications are given in algebra and combinatorics to group actions that preserve cartesian product structures. Students and researchers with an interest in mathematical symmetry will find the book enjoyable and useful.
We show that the scenery reconstruction problem on the Boolean hypercube is in general impossible. This is done by using locally biased functions, in which every vertex has a constant fraction of neighbours coloured by 1, and locally stable functions, in which every vertex has a constant fraction of neighbours coloured by its own colour. Our methods are constructive, and also give super-polynomial lower bounds on the number of locally biased and locally stable functions. We further show similar results for ℤn and other graphs, and offer several follow-up questions.
This self-contained book introduces readers to discrete harmonic analysis with an emphasis on the Discrete Fourier Transform and the Fast Fourier Transform on finite groups and finite fields, as well as their noncommutative versions. It also features applications to number theory, graph theory, and representation theory of finite groups. Beginning with elementary material on algebra and number theory, the book then delves into advanced topics from the frontiers of current research, including spectral analysis of the DFT, spectral graph theory and expanders, representation theory of finite groups and multiplicity-free triples, Tao's uncertainty principle for cyclic groups, harmonic analysis on GL(2,Fq), and applications of the Heisenberg group to DFT and FFT. With numerous examples, figures, and over 160 exercises to aid understanding, this book will be a valuable reference for graduate students and researchers in mathematics, engineering, and computer science.
This book is an introduction, for mathematics students, to the theories of information and codes. They are usually treated separately but, as both address the problem of communication through noisy channels (albeit from different directions), the authors have been able to exploit the connection to give a reasonably self-contained treatment, relating the probabilistic and algebraic viewpoints. The style is discursive and, as befits the subject, plenty of examples and exercises are provided. Some examples and exercises are provided. Some examples of computer codes are given to provide concrete illustrations of abstract ideas.
Combinatorics is a subject of increasing importance, owing to its links with computer science, statistics and algebra. This is a textbook aimed at second-year undergraduates to beginning graduates. It stresses common techniques (such as generating functions and recursive construction) which underlie the great variety of subject matter and also stresses the fact that a constructive or algorithmic proof is more valuable than an existence proof. The book is divided into two parts, the second at a higher level and with a wider range than the first. Historical notes are included which give a wider perspective on the subject. More advanced topics are given as projects and there are a number of exercises, some with solutions given.
Discrete mathematics has been rising in prominence in the past fifty years, both as a tool with practical applications and as a source of new and interesting mathematics. The topics in discrete mathematics have become so well developed that it is easy to forget that common threads connect the different areas, and it is through discovering and using these connections that progress is often made. For over fifty years, Ron Graham has been able to illuminate some of these connections and has helped to bring the field of discrete mathematics to where it is today. To celebrate his contribution, this volume brings together many of the best researchers working in discrete mathematics, including Fan Chung, Erik D. Demaine, Persi Diaconis, Peter Frankl, Alfred W. Hales, Jeffrey C. Lagarias, Allen Knutson, Janos Pach, Carl Pomerance, N. J. A. Sloane, and of course, Ron Graham himself.