Proofs and Constraints
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Conjunctive Queries, Arithmetic Circuits and Counting Complexity
CONJUNCTIVEQUERIES,ARITHMETICCIRCUITSAND COUNTINGCOMPLEXITY Dissertation zur Erlangung des Doktorgrades der Fakultät für Elektrotechnik, Informatik und Mathematik der Universität Paderborn vorgelegt von Stefan Mengel Paderborn, 21. Mai 2013 Stefan Mengel: Conjunctive Queries, Arithmetic Circuits and Counting Complexity, © May 21, 2012 "We can only see a short distance ahead, but we can see plenty there that needs to be done." —Alan Turing [Tur50] ABSTRACT This thesis deals with several subjects from counting complexity and arithmetic circuit complexity. The first part explores the complexity of counting solutions to con- junctive queries, which are a basic class of queries from database theory. We introduce a parameter, called the quantified star size of a query f, which measures how the free variables are spread in f. As usual in database theory, we associate a hypergraph to a query f. We show that for classes of queries for which these associated hyper- graphs have bounded generalized hypertree width, bounded quanti- fied star size exactly characterizes the subclasses of queries for which counting the number of solutions is tractable. In the case of bounded arity, this allows us to fully characterize the classes of conjunctive queries for which counting the solutions is tractable. Finally, we also analyze the complexity of computing the quantified star size of a con- junctive query. In the second part we characterize different classes from arithmetic circuit complexity by different means, including conjunctive queries and constraint satisfaction problems, graph polynomials on bounded treewidth graphs, and an extension of the classical arithmetic branch- ing program model by stack memory. In particular, this yields new characterizations of the arithmetic circuit class VP, a class that is cen- tral to the area but arguably not well understood. -
My Favorite Ten Complexity Theorems of the Past Decade
My Favorite Ten Complexity Theorems of the Past Decade Lance Fortnow Department of Computer Science The University of Chicago East th Street Chicago Illinois Abstract We review the past ten years in computational complexity theory by fo cusing on ten theorems that the author enjoyed the most We use each of the theorems as a springb oard to discuss work done in various areas of complexity theory Intro duction Just ab out ten years ago in the spring of I enrolled in a graduate compu tational complexity course taught by Juris Hartmanis at Cornell That course marked the b eginning of study and research in computational complexity that has b een a ma jor part of my life ever since As a decade has passed I nd it useful to review where complexity theory has come during those years I have found that complexity theory has ourished during that time No twenty page pap er could p ossibly do justice to the past ten years in complexity theory Instead I have taken a dierent approach I have isolated ten theorems that I have enjoyed the most during the past decade following a few selfimp osed guide lines See Section I have then used these theorems as a basis to describ e many other results in complexity theory using each theorem as a springb oard into a subarea of computational complexity Please note that each area could have a twenty page survey of its own I cannot p ossibly mention all the imp ortant results in any given area Nor am I able to bring in all the dierent subareas in complexity theory I have found the past ten years in complexity theory -
Logical Approaches to Barriers in Computing and Complexity
Arnold Beckmann Christine Gaßner Benedikt L¨owe (Eds.) Logical Approaches to Barriers in Computing and Complexity International Workshop, Greifswald, Germany, February 2010 Organized by the Alfried Krupp Wissenschaftskolleg Greifswald under the auspices of the Deutsche Vereinigung f¨urMathematische Logik und f¨ur Grundlagen der Exakten Wissenschaften (DVMLG), the Polskie Towarzystwo Logiki i Filozofii Nauki (PTLiFN), the Association for Computability in Europe (ACiE) and the European Association for Computer Science Logic (EACSL) Abstract Booklet Funded by the Alfried Krupp von Bohlen und Halbach-Stiftung, Essen and the Deutsche Forschungsgemeinschaft, Bonn Preface This booklet contains the extended abstracts of talks presented at the workshop on Logical Approaches to Barriers in Computing and Complexity, held on February 17{20, 2010, in Greifswald, Germany. The workshop was initiated by the Deutsche Vereinigung f¨urMathematische Logik und f¨urGrundlagen der Exakten Wissenschaften (DVMLG), the Polskie Towarzystwo Logiki i Filozofii Nauki (PTLiFN), the Association for Computability in Europe (ACiE) and the European Association for Computer Science Logic (EACSL) and organized under the auspices of these four learn`edsocieties. The workshop was funded by the Alfried Krupp von Bohlen und Halbach-Stiftung, Essen and the Deutsche Forschungsgemeinschaft, Bonn, and it was run by and held at the Alfried Krupp Wissenschaftskolleg in Greifswald, Germany. Scientific Scope. Computability theory and complexity theory have their origins in logic, with connec- tions to foundations of mathematics. The fundamental goal in these areas is to understand the limits of computability (that is analysing which problems can be solved on nowadays and future computers in principle) and effective computability (that is understanding the class of problems which can be solved quickly and with restricted resources.) Logic provides a multifarious toolbox of techniques to analyse questions like this, some of which promise to provide a deep insight in the structure of limit of compu- tation. -
The Computational Complexity Column by Vikraman Arvind Institute of Mathematical Sciences, CIT Campus, Taramani Chennai 600113, India
The Computational Complexity Column by Vikraman Arvind Institute of Mathematical Sciences, CIT Campus, Taramani Chennai 600113, India http://www.imsc.res.in/~arvind Eric Allender recently completed sixty years. In a research career spanning over thirty-five years, and still flourishing, Eric has been a leader in the field of compu- tational complexity. His contributions are to many different aspects, including cir- cuit complexity, space-bounded complexity classes, Kolmogorov complexity, and, broadly, the structure of complexity classes. He brings a meticulousness to his research which is reflected in his excellent survey articles on the above topics. In this complexity column, as a tribute to him, Meena Mahajan and I have put together an overview touching upon some highlights of Eric’s research. A Quest for Structure in Complexity V. Arvind and Meena Mahajan The Institute of Mathematical Sciences, HBNI, Chennai, India {arvind,meena}@imsc.res.in 1 Introduction Eric Allender turned sixty some months ago, and in this October computational com- plexity column we will describe some highlights of his research work spanning over three decades. His research career began in 1985. The “Structure in Complexity Con- ference” was born in 1986. Although FOCS and STOC remain the primary confer- ences for theoretical computer science, “Structures” was a more niche conference de- voted to complexity theory. In the first Structures Conference, in 1986, Eric had two papers. The computational complexity column in the EATCS bulletin was started in 1987 (with Juris Hartmanis as editor). All roughly around the same time. The field has rapidly grown over the last three decades, and Eric has played a prominent role shaping modern computational complexity theory in a range of topics.