Search results for " Computational complexity"

showing 10 items of 91 documents

Topological properties of cellular automata on trees

2012

We prove that there do not exist positively expansive cellular automata defined on the full k-ary tree shift (for k>=2). Moreover, we investigate some topological properties of these automata and their relationships, namely permutivity, surjectivity, preinjectivity, right-closingness and openness.

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata Theory0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Computational Complexity (cs.CC)Topology01 natural scienceslcsh:QA75.5-76.95[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]0101 mathematicsF.1.1;F.1.2;F.1.3MathematicsCellular Automata and Lattice Gases (nlin.CG)lcsh:Mathematics010102 general mathematicsCellular automaton tree shift expansivity permutivity right-closingness opennesslcsh:QA1-939Nonlinear Sciences::Cellular Automata and Lattice GasesCellular automatonAutomatonComputer Science - Computational Complexity010201 computation theory & mathematicsTree (set theory)lcsh:Electronic computers. Computer scienceF.1.2F.1.3ExpansiveNonlinear Sciences - Cellular Automata and Lattice GasesF.1.1Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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On Block Sensitivity and Fractional Block Sensitivity

2018

We investigate the relation between the block sensitivity bs(f) and fractional block sensitivity fbs(f) complexity measures of Boolean functions. While it is known that fbs(f) = O(bs(f)2), the best known separation achieves $${\rm{fbs}}\left( f \right) = \left( {{{\left( {3\sqrt 2 } \right)}^{ - 1}} + o\left( 1 \right)} \right){\rm{bs}}{\left( f \right)^{3/2}}$$ . We improve the constant factor and show a family of functions that give fbs(f) = (6−1/2 − o(1)) bs(f)3/2.

FOS: Computer and information sciencesGeneral Mathematics010102 general mathematicsBlock (permutation group theory)0102 computer and information sciencesComputational Complexity (cs.CC)01 natural sciencesConstant factorCombinatoricsComputer Science - Computational Complexity010201 computation theory & mathematicsSensitivity (control systems)0101 mathematicsAlgebra over a fieldMathematics
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On the Power of Non-adaptive Learning Graphs

2012

We introduce a notion of the quantum query complexity of a certificate structure. This is a formalisation of a well-known observation that many quantum query algorithms only require the knowledge of the disposition of possible certificates in the input string, not the precise values therein. Next, we derive a dual formulation of the complexity of a non-adaptive learning graph, and use it to show that non-adaptive learning graphs are tight for all certificate structures. By this, we mean that there exists a function possessing the certificate structure and such that a learning graph gives an optimal quantum query algorithm for it. For a special case of certificate structures generated by cer…

FOS: Computer and information sciencesDiscrete mathematicsQuantum PhysicsTheoretical computer scienceComputational complexity theoryComputer scienceGeneral MathematicsExistential quantificationFOS: Physical sciencesGraph theoryString searching algorithmComputational Complexity (cs.CC)Query optimizationCertificateUpper and lower boundsTheoretical Computer ScienceComputational MathematicsComputer Science - Computational ComplexityComputational Theory and MathematicsBounded functionAdaptive learningSpecial caseQuantum Physics (quant-ph)Quantum computerMathematics2013 IEEE Conference on Computational Complexity
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The Need for Structure in Quantum Speedups

2009

Is there a general theorem that tells us when we can hope for exponential speedups from quantum algorithms, and when we cannot? In this paper, we make two advances toward such a theorem, in the black-box model where most quantum algorithms operate. First, we show that for any problem that is invariant under permuting inputs and outputs (like the collision or the element distinctness problems), the quantum query complexity is at least the 7th root of the classical randomized query complexity. (An earlier version of this paper gave the 9th root.) This resolves a conjecture of Watrous from 2002. Second, inspired by recent work of O'Donnell et al. (2005) and Dinur et al. (2006), we conjecture t…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFOS: Physical sciencesComputational Complexity (cs.CC)Computer Science::Computational ComplexityQuantum Physics (quant-ph)Computer Science::DatabasesTheory of Computing
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Visibly pushdown modular games,

2014

Games on recursive game graphs can be used to reason about the control flow of sequential programs with recursion. In games over recursive game graphs, the most natural notion of strategy is the modular strategy, i.e., a strategy that is local to a module and is oblivious to previous module invocations, and thus does not depend on the context of invocation. In this work, we study for the first time modular strategies with respect to winning conditions that can be expressed by a pushdown automaton. We show that such games are undecidable in general, and become decidable for visibly pushdown automata specifications. Our solution relies on a reduction to modular games with finite-state automat…

FOS: Computer and information sciencesComputer Science::Computer Science and Game TheoryComputer Science - Logic in Computer ScienceTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceFormal Languages and Automata Theory (cs.FL)Computer scienceComputer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technologyComputational Complexity (cs.CC)Pushdown01 natural scienceslcsh:QA75.5-76.95Theoretical Computer ScienceComputer Science - Computer Science and Game TheoryComputer Science::Logic in Computer Science0202 electrical engineering electronic engineering information engineeringTemporal logicRecursionbusiness.industrylcsh:MathematicsGames; Modular; Pushdown; Theoretical Computer Science; Information Systems; Computer Science Applications; Computational Theory and MathematicsPushdown automatonModular designDecision problemlcsh:QA1-939Logic in Computer Science (cs.LO)Computer Science ApplicationsUndecidable problemDecidabilityNondeterministic algorithmComputer Science - Computational ComplexityModularTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputational Theory and Mathematics010201 computation theory & mathematics020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceGamesbusinessComputer Science::Formal Languages and Automata TheoryComputer Science and Game Theory (cs.GT)Information SystemsInformation and Computation
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New Results on the Minimum Amount of Useful Space

2014

We present several new results on minimal space requirements to recognize a nonregular language: (i) realtime nondeterministic Turing machines can recognize a nonregular unary language within weak $\log\log n$ space, (ii) $\log\log n$ is a tight space lower bound for accepting general nonregular languages on weak realtime pushdown automata, (iii) there exist unary nonregular languages accepted by realtime alternating one-counter automata within weak $\log n$ space, (iv) there exist nonregular languages accepted by two-way deterministic pushdown automata within strong $\log\log n$ space, and, (v) there exist unary nonregular languages accepted by two-way one-counter automata using quantum an…

FOS: Computer and information sciencesComputer Science - Computational ComplexityQuantum PhysicsTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Computer Science::Computational ComplexityQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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Probabilistic verifiers for asymmetric debates

2012

We examine the power of silent constant-space probabilistic verifiers that watch asymmetric debates (where one side is unable to see some of the messages of the other) between two deterministic provers, and try to determine who is right. We prove that probabilistic verifiers outperform their deterministic counterparts as asymmetric debate checkers. It is shown that the membership problem for every language in NSPACE(s(n)) has a 2^{s(n)}-time debate where one prover is completely blind to the other one, for polynomially bounded space constructible s(n). When partial information is allowed to be seen by the handicapped prover, the class of languages debatable in 2^{s(n)} time contains TIME(2^…

FOS: Computer and information sciencesComputer Science - Computational ComplexityComputational Complexity (cs.CC)
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The minimal probabilistic and quantum finite automata recognizing uncountably many languages with fixed cutpoints

2019

Discrete Mathematics & Theoretical Computer Science ; vol. 22 no. 1 ; Automata, Logic and Semantics ; 1365-8050

FOS: Computer and information sciencesQuantum PhysicsFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Nonlinear Sciences::Cellular Automata and Lattice GasesComputer Science - Computational ComplexityMathematics::LogicTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputer Science::Discrete MathematicsComputer Science::Logic in Computer ScienceComputingMilieux_COMPUTERSANDSOCIETYMathematics::Metric GeometryQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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Algorithmic Information Theory and Computational Complexity

2013

We present examples where theorems on complexity of computation are proved using methods in algorithmic information theory. The first example is a non-effective construction of a language for which the size of any deterministic finite automaton exceeds the size of a probabilistic finite automaton with a bounded error exponentially. The second example refers to frequency computation. Frequency computation was introduced by Rose and McNaughton in early sixties and developed by Trakhtenbrot, Kinber, Degtev, Wechsung, Hinrichs and others. A transducer is a finite-state automaton with an input and an output. We consider the possibilities of probabilistic and frequency transducers and prove sever…

Discrete mathematicsAverage-case complexityAlgorithmic information theoryTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESKolmogorov complexityDescriptive complexity theoryComputational physicsStructural complexity theoryTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonAsymptotic computational complexityComputer Science::Formal Languages and Automata TheoryComputational number theoryMathematics
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Implications of quantum automata for contextuality

2014

We construct zero-error quantum finite automata (QFAs) for promise problems which cannot be solved by bounded-error probabilistic finite automata (PFAs). Here is a summary of our results: - There is a promise problem solvable by an exact two-way QFA in exponential expected time, but not by any bounded-error sublogarithmic space probabilistic Turing machine (PTM). - There is a promise problem solvable by an exact two-way QFA in quadratic expected time, but not by any bounded-error $ o(\log \log n) $-space PTMs in polynomial expected time. The same problem can be solvable by a one-way Las Vegas (or exact two-way) QFA with quantum head in linear (expected) time. - There is a promise problem so…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Quantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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