Search results for "Computation Theory & Mathematics"

showing 10 items of 332 documents

Algorithms for Anti-Powers in Strings

2018

Abstract A string S [ 1 , n ] is a power (or tandem repeat) of order k and period n / k if it can be decomposed into k consecutive equal-length blocks of letters. Powers and periods are fundamental to string processing, and algorithms for their efficient computation have wide application and are heavily studied. Recently, Fici et al. (Proc. ICALP 2016) defined an anti-power of order k to be a string composed of k pairwise-distinct blocks of the same length ( n / k , called anti-period). Anti-powers are a natural converse to powers, and are objects of combinatorial interest in their own right. In this paper we initiate the algorithmic study of anti-powers. Given a string S, we describe an op…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)ComputationComputer Science - Formal Languages and Automata Theory0102 computer and information sciencesString processingInformation System01 natural sciencesUpper and lower boundsAnti-powersTheoretical Computer ScienceLemma (logic)ConverseComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)0101 mathematicsMathematicsCombinatorics on wordSignal processingCombinatorics on wordsComputer Science Applications1707 Computer Vision and Pattern RecognitionAnti-power16. Peace & justice113 Computer and information sciencesSubstringComputer Science Applications010101 applied mathematicsAlgorithmCombinatorics on words010201 computation theory & mathematicsSignal ProcessingAlgorithmAlgorithmsInformation SystemsComputer Science - Discrete Mathematics
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Cyclic Complexity of Words

2014

We introduce and study a complexity function on words $c_x(n),$ called \emph{cyclic complexity}, which counts the number of conjugacy classes of factors of length $n$ of an infinite word $x.$ We extend the well-known Morse-Hedlund theorem to the setting of cyclic complexity by showing that a word is ultimately periodic if and only if it has bounded cyclic complexity. Unlike most complexity functions, cyclic complexity distinguishes between Sturmian words of different slopes. We prove that if $x$ is a Sturmian word and $y$ is a word having the same cyclic complexity of $x,$ then up to renaming letters, $x$ and $y$ have the same set of factors. In particular, $y$ is also Sturmian of slope equ…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata Theory0102 computer and information sciences68R15Characterization (mathematics)[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesTheoretical Computer ScienceCombinatoricsConjugacy class[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL][MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsDiscrete Mathematics and CombinatoricsMathematics - Combinatorics0101 mathematics[MATH]Mathematics [math]Discrete Mathematics and CombinatoricMathematicsDiscrete mathematicsFactor complexity010102 general mathematicsSturmian wordSturmian wordComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Sturmian wordsCyclic complexity factor complexity Sturmian words minimal forbidden factorInfimum and supremumToeplitz matrixComputational Theory and Mathematics010201 computation theory & mathematicsCyclic complexityBounded functionComplexity functionCombinatorics (math.CO)Word (group theory)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Anti-powers in infinite words

2018

In combinatorics of words, a concatenation of $k$ consecutive equal blocks is called a power of order $k$. In this paper we take a different point of view and define an anti-power of order $k$ as a concatenation of $k$ consecutive pairwise distinct blocks of the same length. As a main result, we show that every infinite word contains powers of any order or anti-powers of any order. That is, the existence of powers or anti-powers is an unavoidable regularity. Indeed, we prove a stronger result, which relates the density of anti-powers to the existence of a factor that occurs with arbitrary exponent. As a consequence, we show that in every aperiodic uniformly recurrent word, anti-powers of ev…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)ConcatenationComputer Science - Formal Languages and Automata Theory68R150102 computer and information sciences01 natural sciencesTheoretical Computer ScienceCombinatoricsUnavoidable regularityPosition (vector)Infinite wordAvoidability[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsMathematics - CombinatoricsDiscrete Mathematics and CombinatoricsOrder (group theory)Point (geometry)0101 mathematicsDiscrete Mathematics and CombinatoricMathematicsDiscrete mathematics000 Computer science knowledge general worksAnti-power010101 applied mathematicsComputational Theory and Mathematics010201 computation theory & mathematicsAperiodic graphComputer ScienceExponentPairwise comparisonCombinatorics (math.CO)SoftwareWord (group theory)Computer Science - Discrete Mathematics
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The sequence of open and closed prefixes of a Sturmian word

2017

A finite word is closed if it contains a factor that occurs both as a prefix and as a suffix but does not have internal occurrences, otherwise it is open. We are interested in the {\it oc-sequence} of a word, which is the binary sequence whose $n$-th element is $0$ if the prefix of length $n$ of the word is open, or $1$ if it is closed. We exhibit results showing that this sequence is deeply related to the combinatorial and periodic structure of a word. In the case of Sturmian words, we show that these are uniquely determined (up to renaming letters) by their oc-sequence. Moreover, we prove that the class of finite Sturmian words is a maximal element with this property in the class of binar…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Sturmian word closed wordComputer Science - Formal Languages and Automata Theory0102 computer and information sciences68R1501 natural sciencesPseudorandom binary sequenceCombinatorics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsMathematics - Combinatorics0101 mathematicsMathematicsSequenceClosed wordSettore INF/01 - InformaticaApplied Mathematics010102 general mathematicsSturmian wordSturmian wordPrefix010201 computation theory & mathematicsCombinatorics (math.CO)SuffixElement (category theory)Word (computer architecture)Maximal elementComputer Science - Discrete Mathematics
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A note on easy and efficient computation of full abelian periods of a word

2016

Constantinescu and Ilie (Bulletin of the EATCS 89, 167-170, 2006) introduced the idea of an Abelian period with head and tail of a finite word. An Abelian period is called full if both the head and the tail are empty. We present a simple and easy-to-implement $O(n\log\log n)$-time algorithm for computing all the full Abelian periods of a word of length $n$ over a constant-size alphabet. Experiments show that our algorithm significantly outperforms the $O(n)$ algorithm proposed by Kociumaka et al. (Proc. of STACS, 245-256, 2013) for the same problem.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Elementary abelian groupComputer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technology[INFO] Computer Science [cs]01 natural sciencesRank of an abelian groupCombinatoricsSimple (abstract algebra)Computer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringDiscrete Mathematics and CombinatoricsData Structures and Algorithms (cs.DS)[INFO]Computer Science [cs]Abelian groupHidden subgroup problemDiscrete Mathematics and CombinatoricComputingMilieux_MISCELLANEOUSMathematicsCombinatorics on wordDiscrete mathematicsApplied Mathematics020206 networking & telecommunicationsAbelian periodText algorithmWeak repetitionFree abelian groupAbelian powerCombinatorics on wordsDesign of algorithm010201 computation theory & mathematicsWord (computer architecture)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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The quantum query complexity of certification

2009

We study the quantum query complexity of finding a certificate for a d-regular, k-level balanced NAND formula. Up to logarithmic factors, we show that the query complexity is Theta(d^{(k+1)/2}) for 0-certificates, and Theta(d^{k/2}) for 1-certificates. In particular, this shows that the zero-error quantum query complexity of evaluating such formulas is O(d^{(k+1)/2}) (again neglecting a logarithmic factor). Our lower bound relies on the fact that the quantum adversary method obeys a direct sum theorem.

FOS: Computer and information sciencesDiscrete mathematicsQuantum Physics0209 industrial biotechnologyNuclear and High Energy PhysicsQuantum queryComputer scienceDirect sumFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear Physics0102 computer and information sciences02 engineering and technologyCertificationComputational Complexity (cs.CC)Certificate01 natural sciencesTheoretical Computer ScienceComputer Science - Computational Complexity020901 industrial engineering & automationComputational Theory and Mathematics010201 computation theory & mathematicsQuantum Physics (quant-ph)QuantumMathematical PhysicsQuantum Information and Computation
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Descent distribution on Catalan words avoiding a pattern of length at most three

2018

Catalan words are particular growth-restricted words over the set of non-negative integers, and they represent still another combinatorial class counted by the Catalan numbers. We study the distribution of descents on the sets of Catalan words avoiding a pattern of length at most three: for each such a pattern $p$ we provide a bivariate generating function where the coefficient of $x^ny^k$ in its series expansion is the number of length $n$ Catalan words with $k$ descents and avoiding $p$. As a byproduct, we enumerate the set of Catalan words avoiding $p$, and we provide the popularity of descents on this set. Some of the obtained enumerating sequences are not yet recorded in the On-line En…

FOS: Computer and information sciencesDistribution (number theory)Discrete Mathematics (cs.DM)0102 computer and information sciences02 engineering and technologyBivariate analysis01 natural sciencesTheoretical Computer ScienceCatalan numberSet (abstract data type)Combinatorics0202 electrical engineering electronic engineering information engineeringFOS: MathematicsDiscrete Mathematics and CombinatoricsMathematics - Combinatorics[MATH]Mathematics [math]MathematicsDescent (mathematics)Discrete mathematicsGenerating functionDescent020206 networking & telecommunicationslanguage.human_languagePopularity010201 computation theory & mathematicsPattern avoidancelanguageCatalanCombinatorial classCombinatorics (math.CO)Catalan wordComputer Science - Discrete Mathematics
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Separations in Query Complexity Based on Pointer Functions

2015

In 1986, Saks and Wigderson conjectured that the largest separation between deterministic and zero-error randomized query complexity for a total boolean function is given by the function $f$ on $n=2^k$ bits defined by a complete binary tree of NAND gates of depth $k$, which achieves $R_0(f) = O(D(f)^{0.7537\ldots})$. We show this is false by giving an example of a total boolean function $f$ on $n$ bits whose deterministic query complexity is $\Omega(n/\log(n))$ while its zero-error randomized query complexity is $\tilde O(\sqrt{n})$. We further show that the quantum query complexity of the same function is $\tilde O(n^{1/4})$, giving the first example of a total function with a super-quadra…

FOS: Computer and information sciencesFOS: Physical sciences0102 computer and information sciencesComputational Complexity (cs.CC)01 natural sciencesCombinatoricsArtificial Intelligence0103 physical sciences0101 mathematics010306 general physicsCommunication complexityBoolean functionQuantumMathematicsDiscrete mathematicsQuantum PhysicsBinary tree010102 general mathematicsNAND logicRandomized algorithmComputer Science - Computational ComplexityHardware and ArchitectureControl and Systems Engineering010201 computation theory & mathematicsIndependent setPointer (computer programming)Quantum algorithmQuantum Physics (quant-ph)SoftwareInformation Systems
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Abelian Powers and Repetitions in Sturmian Words

2016

Richomme, Saari and Zamboni (J. Lond. Math. Soc. 83: 79-95, 2011) proved that at every position of a Sturmian word starts an abelian power of exponent $k$ for every $k > 0$. We improve on this result by studying the maximum exponents of abelian powers and abelian repetitions (an abelian repetition is an analogue of a fractional power) in Sturmian words. We give a formula for computing the maximum exponent of an abelian power of abelian period $m$ starting at a given position in any Sturmian word of rotation angle $\alpha$. vAs an analogue of the critical exponent, we introduce the abelian critical exponent $A(s_\alpha)$ of a Sturmian word $s_\alpha$ of angle $\alpha$ as the quantity $A(s_\a…

FOS: Computer and information sciencesFibonacci numberGeneral Computer ScienceDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Computer Science - Formal Languages and Automata Theory0102 computer and information sciences01 natural sciencesTheoretical Computer ScienceCombinatoricsFOS: MathematicsMathematics - Combinatorics[INFO]Computer Science [cs]Number Theory (math.NT)0101 mathematicsAbelian groupContinued fractionFibonacci wordComputingMilieux_MISCELLANEOUSQuotientMathematicsMathematics - Number Theoryta111010102 general mathematicsComputer Science (all)Sturmian wordSturmian wordAbelian period; Abelian power; Critical exponent; Lagrange constant; Sturmian word; Theoretical Computer Science; Computer Science (all)Abelian periodLagrange constantCritical exponentAbelian power010201 computation theory & mathematicsBounded functionExponentCombinatorics (math.CO)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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The Descriptive Complexity Approach to LOGCFL

1998

Building upon the known generalized-quantifier-based first-order characterization of LOGCFL, we lay the groundwork for a deeper investigation. Specifically, we examine subclasses of LOGCFL arising from varying the arity and nesting of groupoidal quantifiers. Our work extends the elaborate theory relating monoidal quantifiers to NC1 and its subclasses. In the absence of the BIT predicate, we resolve the main issues: we show in particular that no single outermost unary groupoidal quantifier with FO can capture all the context-free languages, and we obtain the surprising result that a variant of Greibach's ``hardest context-free language'' is LOGCFL-complete under quantifier-free BIT-free proj…

FOS: Computer and information sciencesFinite model theoryUnary operationComputer Networks and Communicationsautomata and formal languages0102 computer and information sciencesComputational Complexity (cs.CC)Computer Science::Computational ComplexityArityDescriptive complexity theory01 natural sciencesTheoretical Computer ScienceComputer Science::Logic in Computer ScienceNondeterministic finite automaton0101 mathematicsLOGCFLMathematicsDiscrete mathematicscomputational complexityApplied Mathematics010102 general mathematicsdescriptive complexityNondeterministic algorithmComputer Science - Computational Complexityfinite model theoryQuantifier (logic)Computational Theory and Mathematics010201 computation theory & mathematicsF.1.3Journal of Computer and System Sciences
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