The Role of Relativization in Complexity Theory

Total Page:16

File Type:pdf, Size:1020Kb

The Role of Relativization in Complexity Theory See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/2583799 The Role of Relativization in Complexity Theory ARTICLE · APRIL 1999 Source: CiteSeer CITATIONS READS 46 28 1 AUTHOR: Lance Fortnow Georgia Institute of Technology 252 PUBLICATIONS 5,786 CITATIONS SEE PROFILE Available from: Lance Fortnow Retrieved on: 13 January 2016 The Role of Relativization in Complexity Theory Lance Fortnow University of Chicago Department of Computer Science East th Street Chicago Illinois Abstract Several recent nonrelativizing results in the area of interactive pro ofs have caused many p eople to review the imp ortance of relativization In this pap er we take a lo ok at how complexity theorists use and misuse oracle results We pay sp ecial attention to the new interactive pro of systems and program checking results and try to understand why they do not relativize We give some new results that may help us to understand these questions b etter Intro duction The recent result IP PSPACE LFKN Sha surprised the theoretical computer science community in more ways than one A few years earlier Fortnow and Sipser FS created an oracle relative to which coNP did not have interactive pro ofs The IP PSPACE result was honestly a nonrelativizing theorem Several questions immediately p opp ed up Why didnt this result relativize What sp ecic techniques were used that avoided relativization How can we use these techniques to prove other nonrelativizing facts Also much older questions resurfaced What exactly to oracle results mean What should we infer if anything from a relativization Such questions gained even more imp ortance when we discovered the amazing p ower of mul tiple prover interactive pro of systems BFL transparent pro ofs BFLS and probabilistically + checkable pro ofs AS ALM We may not nd satisfactory answers to these questions in the near future However in this pap er we will give some intuition and some theorems ab out oracles that may help shed light on some of these issues In Section we will see that relativization is an extremely p owerful to ol in helping complexity theorists direct their research In Section we will lo ok at early results of provable statements with negative relativization We will lo ok at these various examples and argue that they all lack a prop er oracle access mechanism In section we take a close lo ok at the new unrelativizing results for interactive pro of systems We prove some new results that may help us understand these issues b etter We also argue that the Email fortnowcsuchicagoedu Partially supp orted by NSF grant CCR new interactive pro of system techniques do not relativize b ecause they take advantage of certain algebraic prop erties of complexity classes In section we lo ok at what happ ens when we add an oracle to probabilistically checkable + pro ofs PCP Arora Lund Motwani Sudan and Szegedy ALM show that every language in NP has a PCP using only a logarithmic numb er of random coin tosses and a constant numb er of queries to the pro of We show that in a relativized world for all k such a result do es not k hold even if we allow the verier to use a p olynomial numb er of random bits and n pro of queries Theorem A A Although Heller Hel has created an oracle A relative to which NP EXP we show that A A PCP log n EXP would imply that P NP Theorem Thus nding such an oracle would b e as hard as settling the P NP question Arora Impagliazzo and Vazirani AIV argue that the lo calcheckability prop erty of com plexity classes is a ma jor reason that the results on interactive pro ofs do not relativize In Sec tion we give negative evidence for this thesis by showing that under a reasonable access mech anism lo cal checkability do es in fact relativize We give supp ort instead to the thesis that it is the algebraic prop erties of complexity classes that do not relativize In Section we give evidence for this prop osition by showing that IP PSPACE holds relative to algebraic extensions of arbitrarily complicated languages Finally in Section we give a brief arguement against infering any information from random oracle results We argue that we should only use random oracles as a to ol to combine oracle constructions However we b elieve that generic oracles are a much stronger and sharp er to ol for this purp ose Caveats This pap er contains several opinions on the use and misuse of relativization results We must caution the reader that other complexity theorists may have diering opinions on these matters In this pap er we have tried to give several examples to illustrate various p oints However this pap er is not meant to b e a survey pap er Many imp ortant works in the area have not b een mentioned due to lack of space Notation and Denitions Most of the notation and denitions follow from the standard textb o oks on the eld HU GJ We use to represent the join of two sets A and B ie A B fg A fg B We use FP to represent the p olynomialtime computable functions It is a misnomer to relativize a complexity class C Instead supp ose we take an enumeration of machines for C and give them some access mechanism to an oracle set A We then say the A relativized class C consists of the languages recognized by the acceptance criteria for C applied to the machines using the oracle A Of course this denition may dep end greatly on the sp ecic enumeration of the machines of C as well as the oracle access mechanism The usual access mechanism consists of a separate oracle tap e that the Turing machine can write down queries and learn the answers However as we shall see in Sections and such mo dels may unduly handicap the machines Relativizing Formulae It will b e useful to have relativized NPcomplete and PSPACEcomplete sets Let a relativized CNF formula b e a CNF formula with clauses of the form x x x Ax x i1 i2 i3 j 1 j k where Ax x is true if x x is in A Any of the variables or the Ax x term j 1 j k j 1 j k j 1 j k may b e negated Lemma Let be a relativized CNF formula over an oracle A Let be a closed relativized A A CNF formula with arbitrary rstorder existential and universal quantiers over the variables A Determining whether is satisable is NP complete A A Determining the truth value of is PSPACE complete A Furthermore the completeness reductions do not need access to the oracle Goldsmith and Joseph GJ prove the rst part of the lemma An easy mo dication of their pro of gives us the second part as well Uses of Oracle Results In this section we will discuss some legitimate uses of relativization results As we will see complexity theorists have used relativization as a p owerful to ol in studying complexity theory In Section we will see how theorists use oracles to discover what techniques will not likely work to solve certain problems In Section we will see how relativization allows us to push at a problem in two dierent directions In Section we will argue that that lack of nonrelativizable techniques have caused theorists to lo ok at new directions of research Finally in Section we will see how old relativization results help us to recognize new techniques that can b e applied to other problems Of course theorists must execute extreme care in how one should interpret oracle results In Sections and we lo ok at some computational mo dels where oracle results may not have the exp ected interpretation Limiting techniques Supp ose we can show for some statement S that there exists an oracle A such that S fails relative to A in some oracle mo del Then any pro of that S hold must not relativize in that mo del or otherwise that statement would also hold relative to A If we can also nd an oracle relative to which S holds then no relativizable technique can decide the truth of S Baker Gill and Solovay BGS noted this in their original oracle pap er where they give a relativized world where P NP and another where P NP They also noted that essentially all the known complexity techniques at that time relativize They concluded that current techniques would not solve the P NP question In the nearly two decades since the BakerGillSolovay pap er there have b een literally hundreds of results in complexity theory With the exception of some results in interactive pro of systems see Sections and all of the results in complexity theory have relativized These include several P imp ortant results such as PH P To d and PP is closed under intersection BRS The techniques for interactive pro ofs have not yet proven fruitful towards proving any other theorems ab out complexity theory Thus it really do es app ear that we still need to develop new techniques to settle the hundreds of complexity statements that relativize b oth ways Early on some p eople sp eculated that p erhaps the BakerGillSolovay result indicated that these questions ab out complexity theory may fall outside the axioms of set theory see Har chapter However most researchers no longer subscrib e to this viewp oint anymore b ecause of lack of evidence and some of the examples in Sections and Two directions Often in complexity theory one has a complexity statement S where one can easily show a rela tivized world where S holds but it is op en whether there exists a relativizable pro of of S In order to tackle this problem many complexity theorists lo ok at trying to prove two opp osite directions Trying to prove S or Creating a relativized world where S fails Often by working on a problem in two directions one can often push a failure of a pro of in
Recommended publications
  • Interactive Proof Systems and Alternating Time-Space Complexity
    Theoretical Computer Science 113 (1993) 55-73 55 Elsevier Interactive proof systems and alternating time-space complexity Lance Fortnow” and Carsten Lund** Department of Computer Science, Unicersity of Chicago. 1100 E. 58th Street, Chicago, IL 40637, USA Abstract Fortnow, L. and C. Lund, Interactive proof systems and alternating time-space complexity, Theoretical Computer Science 113 (1993) 55-73. We show a rough equivalence between alternating time-space complexity and a public-coin interactive proof system with the verifier having a polynomial-related time-space complexity. Special cases include the following: . All of NC has interactive proofs, with a log-space polynomial-time public-coin verifier vastly improving the best previous lower bound of LOGCFL for this model (Fortnow and Sipser, 1988). All languages in P have interactive proofs with a polynomial-time public-coin verifier using o(log’ n) space. l All exponential-time languages have interactive proof systems with public-coin polynomial-space exponential-time verifiers. To achieve better bounds, we show how to reduce a k-tape alternating Turing machine to a l-tape alternating Turing machine with only a constant factor increase in time and space. 1. Introduction In 1981, Chandra et al. [4] introduced alternating Turing machines, an extension of nondeterministic computation where the Turing machine can make both existential and universal moves. In 1985, Goldwasser et al. [lo] and Babai [l] introduced interactive proof systems, an extension of nondeterministic computation consisting of two players, an infinitely powerful prover and a probabilistic polynomial-time verifier. The prover will try to convince the verifier of the validity of some statement.
    [Show full text]
  • The Complexity Zoo
    The Complexity Zoo Scott Aaronson www.ScottAaronson.com LATEX Translation by Chris Bourke [email protected] 417 classes and counting 1 Contents 1 About This Document 3 2 Introductory Essay 4 2.1 Recommended Further Reading ......................... 4 2.2 Other Theory Compendia ............................ 5 2.3 Errors? ....................................... 5 3 Pronunciation Guide 6 4 Complexity Classes 10 5 Special Zoo Exhibit: Classes of Quantum States and Probability Distribu- tions 110 6 Acknowledgements 116 7 Bibliography 117 2 1 About This Document What is this? Well its a PDF version of the website www.ComplexityZoo.com typeset in LATEX using the complexity package. Well, what’s that? The original Complexity Zoo is a website created by Scott Aaronson which contains a (more or less) comprehensive list of Complexity Classes studied in the area of theoretical computer science known as Computa- tional Complexity. I took on the (mostly painless, thank god for regular expressions) task of translating the Zoo’s HTML code to LATEX for two reasons. First, as a regular Zoo patron, I thought, “what better way to honor such an endeavor than to spruce up the cages a bit and typeset them all in beautiful LATEX.” Second, I thought it would be a perfect project to develop complexity, a LATEX pack- age I’ve created that defines commands to typeset (almost) all of the complexity classes you’ll find here (along with some handy options that allow you to conveniently change the fonts with a single option parameters). To get the package, visit my own home page at http://www.cse.unl.edu/~cbourke/.
    [Show full text]
  • Delegating Computation: Interactive Proofs for Muggles∗
    Electronic Colloquium on Computational Complexity, Revision 1 of Report No. 108 (2017) Delegating Computation: Interactive Proofs for Muggles∗ Shafi Goldwasser Yael Tauman Kalai Guy N. Rothblum MIT and Weizmann Institute Microsoft Research Weizmann Institute [email protected] [email protected] [email protected] Abstract In this work we study interactive proofs for tractable languages. The (honest) prover should be efficient and run in polynomial time, or in other words a \muggle".1 The verifier should be super-efficient and run in nearly-linear time. These proof systems can be used for delegating computation: a server can run a computation for a client and interactively prove the correctness of the result. The client can verify the result's correctness in nearly-linear time (instead of running the entire computation itself). Previously, related questions were considered in the Holographic Proof setting by Babai, Fortnow, Levin and Szegedy, in the argument setting under computational assumptions by Kilian, and in the random oracle model by Micali. Our focus, however, is on the original inter- active proof model where no assumptions are made on the computational power or adaptiveness of dishonest provers. Our main technical theorem gives a public coin interactive proof for any language computable by a log-space uniform boolean circuit with depth d and input length n. The verifier runs in time n · poly(d; log(n)) and space O(log(n)), the communication complexity is poly(d; log(n)), and the prover runs in time poly(n). In particular, for languages computable by log-space uniform NC (circuits of polylog(n) depth), the prover is efficient, the verifier runs in time n · polylog(n) and space O(log(n)), and the communication complexity is polylog(n).
    [Show full text]
  • Interactive Proofs
    Interactive proofs April 12, 2014 [72] L´aszl´oBabai. Trading group theory for randomness. In Proc. 17th STOC, pages 421{429. ACM Press, 1985. doi:10.1145/22145.22192. [89] L´aszl´oBabai and Shlomo Moran. Arthur-Merlin games: A randomized proof system and a hierarchy of complexity classes. J. Comput. System Sci., 36(2):254{276, 1988. doi:10.1016/0022-0000(88)90028-1. [99] L´aszl´oBabai, Lance Fortnow, and Carsten Lund. Nondeterministic ex- ponential time has two-prover interactive protocols. In Proc. 31st FOCS, pages 16{25. IEEE Comp. Soc. Press, 1990. doi:10.1109/FSCS.1990.89520. See item 1991.108. [108] L´aszl´oBabai, Lance Fortnow, and Carsten Lund. Nondeterministic expo- nential time has two-prover interactive protocols. Comput. Complexity, 1 (1):3{40, 1991. doi:10.1007/BF01200056. Full version of 1990.99. [136] Sanjeev Arora, L´aszl´oBabai, Jacques Stern, and Z. (Elizabeth) Sweedyk. The hardness of approximate optima in lattices, codes, and systems of linear equations. In Proc. 34th FOCS, pages 724{733, Palo Alto CA, 1993. IEEE Comp. Soc. Press. doi:10.1109/SFCS.1993.366815. Conference version of item 1997:160. [160] Sanjeev Arora, L´aszl´oBabai, Jacques Stern, and Z. (Elizabeth) Sweedyk. The hardness of approximate optima in lattices, codes, and systems of linear equations. J. Comput. System Sci., 54(2):317{331, 1997. doi:10.1006/jcss.1997.1472. Full version of 1993.136. [111] L´aszl´oBabai, Lance Fortnow, Noam Nisan, and Avi Wigderson. BPP has subexponential time simulations unless EXPTIME has publishable proofs. In Proc.
    [Show full text]
  • Simple Doubly-Efficient Interactive Proof Systems for Locally
    Electronic Colloquium on Computational Complexity, Revision 3 of Report No. 18 (2017) Simple doubly-efficient interactive proof systems for locally-characterizable sets Oded Goldreich∗ Guy N. Rothblumy September 8, 2017 Abstract A proof system is called doubly-efficient if the prescribed prover strategy can be implemented in polynomial-time and the verifier’s strategy can be implemented in almost-linear-time. We present direct constructions of doubly-efficient interactive proof systems for problems in P that are believed to have relatively high complexity. Specifically, such constructions are presented for t-CLIQUE and t-SUM. In addition, we present a generic construction of such proof systems for a natural class that contains both problems and is in NC (and also in SC). The proof systems presented by us are significantly simpler than the proof systems presented by Goldwasser, Kalai and Rothblum (JACM, 2015), let alone those presented by Reingold, Roth- blum, and Rothblum (STOC, 2016), and can be implemented using a smaller number of rounds. Contents 1 Introduction 1 1.1 The current work . 1 1.2 Relation to prior work . 3 1.3 Organization and conventions . 4 2 Preliminaries: The sum-check protocol 5 3 The case of t-CLIQUE 5 4 The general result 7 4.1 A natural class: locally-characterizable sets . 7 4.2 Proof of Theorem 1 . 8 4.3 Generalization: round versus computation trade-off . 9 4.4 Extension to a wider class . 10 5 The case of t-SUM 13 References 15 Appendix: An MA proof system for locally-chracterizable sets 18 ∗Department of Computer Science, Weizmann Institute of Science, Rehovot, Israel.
    [Show full text]
  • A Study of the NEXP Vs. P/Poly Problem and Its Variants by Barıs
    A Study of the NEXP vs. P/poly Problem and Its Variants by Barı¸sAydınlıoglu˘ A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Computer Sciences) at the UNIVERSITY OF WISCONSIN–MADISON 2017 Date of final oral examination: August 15, 2017 This dissertation is approved by the following members of the Final Oral Committee: Eric Bach, Professor, Computer Sciences Jin-Yi Cai, Professor, Computer Sciences Shuchi Chawla, Associate Professor, Computer Sciences Loris D’Antoni, Asssistant Professor, Computer Sciences Joseph S. Miller, Professor, Mathematics © Copyright by Barı¸sAydınlıoglu˘ 2017 All Rights Reserved i To Azadeh ii acknowledgments I am grateful to my advisor Eric Bach, for taking me on as his student, for being a constant source of inspiration and guidance, for his patience, time, and for our collaboration in [9]. I have a story to tell about that last one, the paper [9]. It was a late Monday night, 9:46 PM to be exact, when I e-mailed Eric this: Subject: question Eric, I am attaching two lemmas. They seem simple enough. Do they seem plausible to you? Do you see a proof/counterexample? Five minutes past midnight, Eric responded, Subject: one down, one to go. I think the first result is just linear algebra. and proceeded to give a proof from The Book. I was ecstatic, though only for fifteen minutes because then he sent a counterexample refuting the other lemma. But a third lemma, inspired by his counterexample, tied everything together. All within three hours. On a Monday midnight. I only wish that I had asked to work with him sooner.
    [Show full text]
  • NP-Complete Problems and Physical Reality
    NP-complete Problems and Physical Reality Scott Aaronson∗ Abstract Can NP-complete problems be solved efficiently in the physical universe? I survey proposals including soap bubbles, protein folding, quantum computing, quantum advice, quantum adia- batic algorithms, quantum-mechanical nonlinearities, hidden variables, relativistic time dilation, analog computing, Malament-Hogarth spacetimes, quantum gravity, closed timelike curves, and “anthropic computing.” The section on soap bubbles even includes some “experimental” re- sults. While I do not believe that any of the proposals will let us solve NP-complete problems efficiently, I argue that by studying them, we can learn something not only about computation but also about physics. 1 Introduction “Let a computer smear—with the right kind of quantum randomness—and you create, in effect, a ‘parallel’ machine with an astronomical number of processors . All you have to do is be sure that when you collapse the system, you choose the version that happened to find the needle in the mathematical haystack.” —From Quarantine [31], a 1992 science-fiction novel by Greg Egan If I had to debate the science writer John Horgan’s claim that basic science is coming to an end [48], my argument would lean heavily on one fact: it has been only a decade since we learned that quantum computers could factor integers in polynomial time. In my (unbiased) opinion, the showdown that quantum computing has forced—between our deepest intuitions about computers on the one hand, and our best-confirmed theory of the physical world on the other—constitutes one of the most exciting scientific dramas of our time.
    [Show full text]
  • A Note on NP ∩ Conp/Poly Copyright C 2000, Vinodchandran N
    BRICS Basic Research in Computer Science BRICS RS-00-19 V. N. Variyam: A Note on A Note on NP \ coNP=poly NP \ coNP = Vinodchandran N. Variyam poly BRICS Report Series RS-00-19 ISSN 0909-0878 August 2000 Copyright c 2000, Vinodchandran N. Variyam. BRICS, Department of Computer Science University of Aarhus. All rights reserved. Reproduction of all or part of this work is permitted for educational or research use on condition that this copyright notice is included in any copy. See back inner page for a list of recent BRICS Report Series publications. Copies may be obtained by contacting: BRICS Department of Computer Science University of Aarhus Ny Munkegade, building 540 DK–8000 Aarhus C Denmark Telephone: +45 8942 3360 Telefax: +45 8942 3255 Internet: [email protected] BRICS publications are in general accessible through the World Wide Web and anonymous FTP through these URLs: http://www.brics.dk ftp://ftp.brics.dk This document in subdirectory RS/00/19/ A Note on NP ∩ coNP/poly N. V. Vinodchandran BRICS, Department of Computer Science, University of Aarhus, Denmark. [email protected] August, 2000 Abstract In this note we show that AMexp 6⊆ NP ∩ coNP=poly, where AMexp denotes the exponential version of the class AM.Themain part of the proof is a collapse of EXP to AM under the assumption that EXP ⊆ NP ∩ coNP=poly 1 Introduction The issue of how powerful circuit based computation is, in comparison with Turing machine based computation has considerable importance in complex- ity theory. There are a large number of important open problems in this area.
    [Show full text]
  • April 2017 Table of Contents
    ISSN 0002-9920 (print) ISSN 1088-9477 (online) of the American Mathematical Society April 2017 Volume 64, Number 4 AMS Prize Announcements page 311 Spring Sectional Sampler page 333 AWM Research Symposium 2017 Lecture Sampler page 341 Mathematics and Statistics Awareness Month page 362 About the Cover: How Minimal Surfaces Converge to a Foliation (see page 307) MATHEMATICAL CONGRESS OF THE AMERICAS MCA 2017 JULY 2428, 2017 | MONTREAL CANADA MCA2017 will take place in the beautiful city of Montreal on July 24–28, 2017. The many exciting activities planned include 25 invited lectures by very distinguished mathematicians from across the Americas, 72 special sessions covering a broad spectrum of mathematics, public lectures by Étienne Ghys and Erik Demaine, a concert by the Cecilia String Quartet, presentation of the MCA Prizes and much more. SPONSORS AND PARTNERS INCLUDE Canadian Mathematical Society American Mathematical Society Pacifi c Institute for the Mathematical Sciences Society for Industrial and Applied Mathematics The Fields Institute for Research in Mathematical Sciences National Science Foundation Centre de Recherches Mathématiques Conacyt, Mexico Atlantic Association for Research in Mathematical Sciences Instituto de Matemática Pura e Aplicada Tourisme Montréal Sociedade Brasileira de Matemática FRQNT Quebec Unión Matemática Argentina Centro de Modelamiento Matemático For detailed information please see the web site at www.mca2017.org. AMERICAN MATHEMATICAL SOCIETY PUSHING LIMITS From West Point to Berkeley & Beyond PUSHING LIMITS FROM WEST POINT TO BERKELEY & BEYOND Ted Hill, Georgia Tech, Atlanta, GA, and Cal Poly, San Luis Obispo, CA Recounting the unique odyssey of a noted mathematician who overcame military hurdles at West Point, Army Ranger School, and the Vietnam War, this is the tale of an academic career as noteworthy for its o beat adventures as for its teaching and research accomplishments.
    [Show full text]
  • Circuit Lower Bounds for Merlin-Arthur Classes
    Electronic Colloquium on Computational Complexity, Report No. 5 (2007) Circuit Lower Bounds for Merlin-Arthur Classes Rahul Santhanam Simon Fraser University [email protected] January 16, 2007 Abstract We show that for each k > 0, MA/1 (MA with 1 bit of advice) doesn’t have circuits of size nk. This implies the first superlinear circuit lower bounds for the promise versions of the classes MA AM ZPPNP , and k . We extend our main result in several ways. For each k, we give an explicit language in (MA ∩ coMA)/1 which doesn’t have circuits of size nk. We also adapt our lower bound to the average-case setting, i.e., we show that MA/1 cannot be solved on more than 1/2+1/nk fraction of inputs of length n by circuits of size nk. Furthermore, we prove that MA does not have arithmetic circuits of size nk for any k. As a corollary to our main result, we obtain that derandomization of MA with O(1) advice implies the existence of pseudo-random generators computable using O(1) bits of advice. 1 Introduction Proving circuit lower bounds within uniform complexity classes is one of the most fundamental and challenging tasks in complexity theory. Apart from clarifying our understanding of the power of non-uniformity, circuit lower bounds have direct relevance to some longstanding open questions. Proving super-polynomial circuit lower bounds for NP would separate P from NP. The weaker result that for each k there is a language in NP which doesn’t have circuits of size nk would separate BPP from NEXP, thus answering an important question in the theory of derandomization.
    [Show full text]
  • Minimal TSP Tour Is Conp–Complete -… Nearly 42 …
    Minimal TSP Tour is coNP{Complete Marzio De Biasi marziodebiasi [at] gmail [dot] com Abstract The problem of deciding if a Traveling Salesman Problem (TSP) tour is minimal was proved to be coNP{complete by Papadimitriou and Steiglitz. We give an alternative proof based on a polynomial time reduction from 3SAT. Like the original proof, our reduction also shows that given a graph G and an Hamiltonian path of G, it is NP{complete to check if G contains an Hamiltonian cycle (Restricted Hamiltonian Cycle problem). 1 Introduction The Traveling Salesman Problem (TSP) is a well{known problem from graph theory [6],[4]: we are given n cities and a nonnegative integer distance dij be- tween any two cities i and j (assume that the distances are symmetric, i.e. for all i; j; dij = dji). We are asked to find the shortest tour of the cities, that is a Pn permutation π of [1::n] such that i=1 dπ(i),π(i+1) (where π(n + 1) = π(n)) is as small as possible. Its decision version is the following: TSPDecision: If a nonnegative integer bound B (the traveling sales- man's \budget") is given along with the distances, does there exist a tour of all the cities having total length no more than B? TSPDecision is NP{complete (we assume that the reader is familiar with the theory of NP{completeness, for a good introduction see [4] or [8]). In [6] two other problems are introduced: TSPExact: Given the distances dij among the n cities and an non- negative integer B, is the length of the shortest tour equal to B; and TSPCost: Given the distances dij among the n cities calculate the length of the shortest tour.
    [Show full text]
  • On Fast Heuristic Non-Deterministic Algorithms and Short Heuristic Proofs
    On fast heuristic non-deterministic algorithms and short heuristic proofs Dmitry Itsykson∗ Steklov Institute of Mathematics at St. Petersburg 27 Fontanka, St.Petersburg, 191023, Russia [email protected] Dmitry Sokolov∗ Steklov Institute of Mathematics at St. Petersburg 27 Fontanka, St.Petersburg, 191023, Russia [email protected] October 24, 2013 Abstract In this paper we study heuristic proof systems and heuristic non-deterministic algorithms. We give an example of a language Y and a polynomial-time sam- plable distribution D such that the distributional problem (Y; D) belongs to the complexity class HeurNP but Y2 = NP if NP 6= coNP, and (Y; D) 2= HeurBPP if (NP; PSamp) 6⊆ HeurBPP. For a language L and a polynomial q we define the language padq(L) composed of pairs (x; r) where x is an element of L and r is an arbitrary binary string of 1 length at least q(jxj). If D = fDngn=1 is an ensemble of distributions on strings, let D × U q be a distribution on pairs (x; r), where x is distributed according to Dn and r is uniformly distributed on strings of length q(n). We show that for every language L in AM there is a polynomial q such that for every distribution D q concentrated on the complement of L the distributional problem (padq(L);D × U ) has a polynomially bounded heuristic proof system. Since graph non-isomorphism (GNI) is in AM, the above result is applicable to GNI. 1 Introduction 1.1 Non-deterministic computations and proof systems A proof system for a language L is a polynomial-time algorithm Π(x; w) such that 1) for all x 2 L there exists a string w such that Π(x; w) = 1 and 2) for all x 62 L and all strings ∗The work is partially supported by the Ministry of education and science of Russian Federation, project 8216, the president grants MK-4108.2012.1, by RFBR grants 12-01-31239 mol a and by RAS Program for Fundamental Research.
    [Show full text]