Search results for "Combinatorics"

showing 10 items of 1770 documents

A characterization of the n-ary many-sorted closure operators and a many-sorted Tarski irredundant basis theorem

2018

A theorem of single-sorted algebra states that, for a closure space (A, J ) and a natural number n, the closure operator J on the set A is n-ary if and only if there exists a single-sorted signature Σ and a Σ-algebra A such that every operation of A is of an arity ≤ n and J = SgA, where SgA is the subalgebra generating operator on A determined by A. On the other hand, a theorem of Tarski asserts that if J is an n-ary closure operator on a set A with n ≥ 2, then, for every i, j ∈ IrB(A, J ), where IrB(A, J ) is the set of all natural numbers which have the property of being the cardinality of an irredundant basis (≡ minimal generating set) of A with respect to J , if i < j and {i + 1, . . . …

Existential quantificationClosure (topology)Natural numberCharacterization (mathematics)Space (mathematics)CombinatoricsSet (abstract data type)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESMathematics (miscellaneous)If and only ifData_FILESClosure operatorMatemàticaMathematicsQuaestiones Mathematicae
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On the Greedy Algorithm for the Shortest Common Superstring Problem with Reversals

2015

We study a variation of the classical Shortest Common Superstring (SCS) problem in which a shortest superstring of a finite set of strings $S$ is sought containing as a factor every string of $S$ or its reversal. We call this problem Shortest Common Superstring with Reversals (SCS-R). This problem has been introduced by Jiang et al., who designed a greedy-like algorithm with length approximation ratio $4$. In this paper, we show that a natural adaptation of the classical greedy algorithm for SCS has (optimal) compression ratio $\frac12$, i.e., the sum of the overlaps in the output string is at least half the sum of the overlaps in an optimal solution. We also provide a linear-time implement…

FOS: Computer and information sciences0102 computer and information sciences02 engineering and technologyInformation System01 natural sciencesString (physics)Theoretical Computer ScienceCombinatoricsHigh Energy Physics::TheoryAnalysis of algorithmGreedy algorithmComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Greedy algorithmFinite setAnalysis of algorithmsMathematicsSuperstring theoryShortest Common SuperstringComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsReversalShortest Path Faster Algorithm010201 computation theory & mathematicsCompression ratioSignal Processing020201 artificial intelligence & image processingK shortest path routingInformation Systems
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On the Inner Product Predicate and a Generalization of Matching Vector Families

2018

Motivated by cryptographic applications such as predicate encryption, we consider the problem of representing an arbitrary predicate as the inner product predicate on two vectors. Concretely, fix a Boolean function $P$ and some modulus $q$. We are interested in encoding $x$ to $\vec x$ and $y$ to $\vec y$ so that $$P(x,y) = 1 \Longleftrightarrow \langle\vec x,\vec y\rangle= 0 \bmod q,$$ where the vectors should be as short as possible. This problem can also be viewed as a generalization of matching vector families, which corresponds to the equality predicate. Matching vector families have been used in the constructions of Ramsey graphs, private information retrieval (PIR) protocols, and mor…

FOS: Computer and information sciences060201 languages & linguistics000 Computer science knowledge general worksComputer Science - Cryptography and Security06 humanities and the arts02 engineering and technologyComputational Complexity (cs.CC)Computer Science - Computational Complexity0602 languages and literatureComputer ScienceFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - Combinatorics020201 artificial intelligence & image processingCombinatorics (math.CO)Cryptography and Security (cs.CR)
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Combinatorial proofs of two theorems of Lutz and Stull

2021

Recently, Lutz and Stull used methods from algorithmic information theory to prove two new Marstrand-type projection theorems, concerning subsets of Euclidean space which are not assumed to be Borel, or even analytic. One of the theorems states that if $K \subset \mathbb{R}^{n}$ is any set with equal Hausdorff and packing dimensions, then $$ \dim_{\mathrm{H}} π_{e}(K) = \min\{\dim_{\mathrm{H}} K,1\} $$ for almost every $e \in S^{n - 1}$. Here $π_{e}$ stands for orthogonal projection to $\mathrm{span}(e)$. The primary purpose of this paper is to present proofs for Lutz and Stull's projection theorems which do not refer to information theoretic concepts. Instead, they will rely on combinatori…

FOS: Computer and information sciences28A80 (primary) 28A78 (secondary)General MathematicskombinatoriikkaCombinatorial proofComputational Complexity (cs.CC)01 natural sciencesCombinatoricsMathematics - Metric GeometryHausdorff and packing measures0103 physical sciencesClassical Analysis and ODEs (math.CA)FOS: Mathematics0101 mathematicsMathematicsAlgorithmic information theoryLemma (mathematics)Euclidean spacePigeonhole principle010102 general mathematicsOrthographic projectionHausdorff spaceMetric Geometry (math.MG)Projection (relational algebra)Computer Science - Computational ComplexityMathematics - Classical Analysis and ODEsfraktaalit010307 mathematical physicsmittateoria
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Novel Results on the Number of Runs of the Burrows-Wheeler-Transform

2021

The Burrows-Wheeler-Transform (BWT), a reversible string transformation, is one of the fundamental components of many current data structures in string processing. It is central in data compression, as well as in efficient query algorithms for sequence data, such as webpages, genomic and other biological sequences, or indeed any textual data. The BWT lends itself well to compression because its number of equal-letter-runs (usually referred to as $r$) is often considerably lower than that of the original string; in particular, it is well suited for strings with many repeated factors. In fact, much attention has been paid to the $r$ parameter as measure of repetitiveness, especially to evalua…

FOS: Computer and information sciencesBurrows–Wheeler transformSettore INF/01 - InformaticaCombinatorics on wordsFormal Languages and Automata Theory (cs.FL)Computer scienceString (computer science)Search engine indexingCompressed data structuresComputer Science - Formal Languages and Automata TheoryString indexingData structureMeasure (mathematics)Burrows-Wheeler-TransformRepetitivenessCombinatorics on wordsBurrows-Wheeler-Transform Compressed data structures String indexing Repetitiveness Combinatorics on wordsTransformation (function)Computer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)AlgorithmData compression
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Adaptive learning of compressible strings

2020

Suppose an oracle knows a string $S$ that is unknown to us and that we want to determine. The oracle can answer queries of the form "Is $s$ a substring of $S$?". In 1995, Skiena and Sundaram showed that, in the worst case, any algorithm needs to ask the oracle $\sigma n/4 -O(n)$ queries in order to be able to reconstruct the hidden string, where $\sigma$ is the size of the alphabet of $S$ and $n$ its length, and gave an algorithm that spends $(\sigma-1)n+O(\sigma \sqrt{n})$ queries to reconstruct $S$. The main contribution of our paper is to improve the above upper-bound in the context where the string is compressible. We first present a universal algorithm that, given a (computable) compre…

FOS: Computer and information sciencesCentroid decompositionGeneral Computer ScienceString compressionAdaptive learningKolmogorov complexityContext (language use)Data_CODINGANDINFORMATIONTHEORYString reconstructionTheoretical Computer ScienceCombinatoricsString reconstruction; String learning; Adaptive learning; Kolmogorov complexity; String compression; Lempel-Ziv; Centroid decomposition; Suffix treeSuffix treeIntegerComputer Science - Data Structures and AlgorithmsOrder (group theory)Data Structures and Algorithms (cs.DS)Adaptive learning; Centroid decomposition; Kolmogorov complexity; Lempel-Ziv; String compression; String learning; String reconstruction; Suffix treeTime complexityComputer Science::DatabasesMathematicsLempel-ZivSettore INF/01 - InformaticaLinear spaceString (computer science)SubstringBounded functionString learningTheoretical Computer Science
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Popularity of patterns over $d$-equivalence classes of words and permutations

2020

Abstract Two same length words are d-equivalent if they have same descent set and same underlying alphabet. In particular, two same length permutations are d-equivalent if they have same descent set. The popularity of a pattern in a set of words is the overall number of copies of the pattern within the words of the set. We show the far-from-trivial fact that two patterns are d-equivalent if and only if they are equipopular over any d-equivalence class, and this equipopularity does not follow obviously from a trivial equidistribution.

FOS: Computer and information sciencesClass (set theory)General Computer ScienceDiscrete Mathematics (cs.DM)010102 general mathematics0102 computer and information sciences01 natural sciencesPopularityTheoretical Computer ScienceCombinatoricsSet (abstract data type)010201 computation theory & mathematicsIf and only if[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsMathematics - CombinatoricsCombinatorics (math.CO)0101 mathematicsAlphabetComputingMilieux_MISCELLANEOUSComputer Science::Formal Languages and Automata TheoryMathematicsDescent (mathematics)Computer Science - Discrete Mathematics
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On the Number of Closed Factors in a Word

2015

A closed word (a.k.a. periodic-like word or complete first return) is a word whose longest border does not have internal occurrences, or, equivalently, whose longest repeated prefix is not right special. We investigate the structure of closed factors of words. We show that a word of length $n$ contains at least $n+1$ distinct closed factors, and characterize those words having exactly $n+1$ closed factors. Furthermore, we show that a word of length $n$ can contain $\Theta(n^{2})$ many distinct closed factors.

FOS: Computer and information sciencesClosed wordCombinatorics on wordsComplete returnFormal Languages and Automata Theory (cs.FL)Computer scienceComputer Science (all)Structure (category theory)Computer Science - Formal Languages and Automata TheoryCombinatorics on words Closed word Complete return Rich word Bitonic word68R15Theoretical Computer ScienceCombinatoricsPrefixCombinatorics on wordsRich wordBitonic wordFOS: MathematicsMathematics - CombinatoricsCombinatorics (math.CO)ArithmeticWord (computer architecture)Combinatorics on word
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Uncommon Suffix Tries

2011

Common assumptions on the source producing the words inserted in a suffix trie with $n$ leaves lead to a $\log n$ height and saturation level. We provide an example of a suffix trie whose height increases faster than a power of $n$ and another one whose saturation level is negligible with respect to $\log n$. Both are built from VLMC (Variable Length Markov Chain) probabilistic sources; they are easily extended to families of sources having the same properties. The first example corresponds to a ''logarithmic infinite comb'' and enjoys a non uniform polynomial mixing. The second one corresponds to a ''factorial infinite comb'' for which mixing is uniform and exponential.

FOS: Computer and information sciencesCompressed suffix arrayPolynomialLogarithmGeneral MathematicsSuffix treevariable length Markov chain[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Generalized suffix treeprobabilistic source0102 computer and information sciences02 engineering and technologysuffix trie01 natural scienceslaw.inventionCombinatoricslawComputer Science - Data Structures and AlgorithmsTrieFOS: Mathematics0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Mixing (physics)[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]MathematicsDiscrete mathematicsApplied MathematicsProbability (math.PR)020206 networking & telecommunicationssuffix trie.Computer Graphics and Computer-Aided Design[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010201 computation theory & mathematicsmixing properties60J05 37E05Suffix[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilitySoftware
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The fluted fragment with transitive relations

2022

Abstract The fluted fragment is a fragment of first-order logic (without equality) in which, roughly speaking, the order of quantification of variables coincides with the order in which those variables appear as arguments of predicates. It is known that this fragment has the finite model property. We consider extensions of the fluted fragment with various numbers of transitive relations, as well as the equality predicate. In the presence of one transitive relation (together with equality), the finite model property is lost; nevertheless, we show that the satisfiability and finite satisfiability problems for this extension remain decidable. We also show that the corresponding problems in the…

FOS: Computer and information sciencesComputer Science - Logic in Computer ScienceTransitivityTransitive relationLogicFinite model propertyF.4.1; F.2.2DecidabilityExtension (predicate logic)SatisfiabilityLogic in Computer Science (cs.LO)DecidabilityUndecidable problemFluted logicCombinatoricsFragment (logic)03D15F.4.1Order (group theory)F.2.2SatisfiabilityMathematicsAnnals of Pure and Applied Logic
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