Search results for "relation"

showing 10 items of 10542 documents

Degree of monotonicity in aggregation process

2010

In this paper we introduce a fuzzy order relation notion in the description of aggregation process. Namely, we use the fuzzy order relation to define the degree of monotonicity, which is equal to 1 for a monotone function with respect to a crisp order relation. In that case, integration of fuzzy order relation allows us to generalize the notion of monotonicity and we try to investigate the benefits of using fuzzy relations instead of a crisp relation. Further we illustrate this definition by examples and study the properties of aggregation functions which have a certain degree of monotonicity.

Discrete mathematicsComputingMethodologies_PATTERNRECOGNITIONDegree (graph theory)Relation (database)Construction industryProcess (engineering)Fuzzy setApplied mathematicsOrder (group theory)Monotonic functionFuzzy logicMathematicsInternational Conference on Fuzzy Systems
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Termination of a set of rules modulo a set of equations

2006

The problem of termination of a set R of rules modulo a set E of equations, called E-termination problem, arises when trying to complete the set of rules in order to get a Church-Rosser property for the rules modulo the equations. We first show here that termination of the rewriting relation and E-termination are the same whenever the used rewriting relation is E-commuting, a property inspired from Peterson and Stickel’s E-compatibility property. More precisely, their results can be obtained by requiring termination of the rewriting relation instead of E-termination if E-commutation is used instead of E-compatibility. When the rewriting relation is not E-commuting, we show how to reduce E-t…

Discrete mathematicsCritical pairSet (abstract data type)Infinite setProperty (philosophy)Relation (database)ModuloSolution setRewritingMathematics
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Toward computability of trace distance discord

2014

It is known that a reliable geometric quantifier of discord-like correlations can be built by employing the so-called trace distance. This is used to measure how far the state under investigation is from the closest "classical-quantum" one. To date, the explicit calculation of this indicator for two qubits was accomplished only for states such that the reduced density matrix of the measured party is maximally mixed, a class that includes Bell-diagonal states. Here, we first reduce the required optimization for a general two-qubit state to the minimization of an explicit two-variable function. Using this framework, we show next that the minimum can be analytically worked out in a number of r…

Discrete mathematicsDYNAMICSBell-diagonal statesquantum statesQuantum Physicse trace distance discordComputabilityPhysicsGeneral Physics and AstronomyFOS: Physical sciencesClass (philosophy)Function (mathematics)State (functional analysis)Expression (computer science)Measure (mathematics)X-STATESX-STATES; QUANTUM; ENTANGLEMENT; DYNAMICSQubitquantum information quantum correlationsTrace distanceQuantum Physics (quant-ph)QUANTUMENTANGLEMENTtrace distanceMathematics
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Defining relations of minimal degree of the trace algebra of 3×3 matrices

2008

Abstract The trace algebra C n d over a field of characteristic 0 is generated by all traces of products of d generic n × n matrices, n , d ⩾ 2 . Minimal sets of generators of C n d are known for n = 2 and n = 3 for any d as well as for n = 4 and n = 5 and d = 2 . The defining relations between the generators are found for n = 2 and any d and for n = 3 , d = 2 only. Starting with the generating set of C 3 d given by Abeasis and Pittaluga in 1989, we have shown that the minimal degree of the set of defining relations of C 3 d is equal to 7 for any d ⩾ 3 . We have determined all relations of minimal degree. For d = 3 we have also found the defining relations of degree 8. The proofs are based …

Discrete mathematicsDefining relationsTrace algebrasAlgebra and Number TheoryTrace (linear algebra)Degree (graph theory)Matrix invariantsGeneral linear groupField (mathematics)Representation theoryCombinatoricsSet (abstract data type)AlgebraGeneric matricesInvariants of tensorsGenerating set of a groupMathematicsJournal of Algebra
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On the use of relational expressions in the design of efficient algorithms

2005

Relational expressions have finite binary relations as arguments and the operations are composition (·), closure (*), inverse (−1), and union (U). The efficient computation of the relation denoted by a relational expression is considered, and a tight bound is established on the complexity of the algorithm suggested by Hunt, Szymanski and Ullman. The result implies a unified method for deriving efficient algorithms for many problems in parsing. For example, optimal algorithms are derived for strong LL(1) and strong LL(2) parser construction and an efficient polynomialtime algorithm is derived for determining the inessential error entries in an LR(1) parsing table.

Discrete mathematicsEmpty stringParsingRelation (database)Binary relationTransitive closure0102 computer and information sciences02 engineering and technology16. Peace & justicecomputer.software_genre01 natural sciencesExpression (mathematics)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESClosure (mathematics)010201 computation theory & mathematics020204 information systems0202 electrical engineering electronic engineering information engineeringTable (database)computerMathematics
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ON THE STAR HEIGHT OF RATIONAL LANGUAGES

1994

Two problems concerning the star height of a rational language are investigated: the star height one problem and the relationships between the unambiguity of an expression and its star height. For this purpose we consider the class of factorial, transitive and rational (FTR) languages. From the algebraic point of view a FTR language is the set of factors of a rational submonoid M. Two subclasses of FTR languages are introduced: renewal languages, corresponding to the case of M finitely generated, and unambiguous renewal languages, corresponding to the case of M finitely generated and free. We prove that a FTR language has star height one if and only if it is renewal. This gives a simple de…

Discrete mathematicsFactorialTransitive relationStar heightGeneral Mathematicsmedia_common.quotation_subjectComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)AmbiguityRegular languageIf and only ifComputer Science::Programming LanguagesEntropy (information theory)Algebraic numberMathematicsmedia_commonInternational Journal of Algebra and Computation
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Nondeterministic operations on finite relational structures

1998

Abstract This article builds on a tutorial introduction to universal algebra for language theory (Courcelle, Theoret. Comput. Sci. 163 (1996) 1–54) and extends it in two directions. First, nondeterministic operations are considered, i.e., operations which give a set of results instead of a single one. Most of their properties concerning recognizability and equational definability carry over from the ordinary case with minor modifications. Second, inductive sets of evaluations are studied in greater detail. It seems that they are handled most naturally in the framework presented here. We consider the analogues of top-down and bottom-up tree transducers. Again, most of their closure propertie…

Discrete mathematicsFinite-state machineGeneral Computer ScienceComputer scienceLogicFormal languages (recognizable and context-free sets transducers)Unbounded nondeterminismMonad (functional programming)Symbolic computationHypergraphsFirst-order logicLogical theoryDecidabilityTheoretical Computer ScienceNondeterministic algorithmAlgebraDeterministic automatonFormal languageUniversal algebraEquivalence relationTree transducersRewritingComputer Science(all)Theoretical Computer Science
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Fuzzy functions: a fuzzy extension of the category SET and some related categories

2000

<p>In research Works where fuzzy sets are used, mostly certain usual functions are taken as morphisms. On the other hand, the aim of this paper is to fuzzify the concept of a function itself. Namely, a certain class of L-relations F : X x Y -> L is distinguished which could be considered as fuzzy functions from an L-valued set (X,Ex) to an L-valued set (Y,Ey). We study basic properties of these functions, consider some properties of the corresponding category of L-valued sets and fuzzy functions as well as briefly describe some categories related to algebra and topology with fuzzy functions in the role of morphisms.</p>

Discrete mathematicsFuzzy classificationL-relationFuzzy topologylcsh:MathematicsFuzzy setlcsh:QA299.6-433Fuzzy subalgebralcsh:AnalysisFuzzy groupType-2 fuzzy sets and systemslcsh:QA1-939DefuzzificationAlgebraFuzzy mathematicsL-fuzzy functionFuzzy numberFuzzy set operationsGeometry and TopologyFuzzy categoryMathematics
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Two-Variable First-Order Logic with Equivalence Closure

2012

We consider the satisfiability and finite satisfiability problems for extensions of the two-variable fragment of first-order logic in which an equivalence closure operator can be applied to a fixed number of binary predicates. We show that the satisfiability problem for two-variable, first-order logic with equivalence closure applied to two binary predicates is in 2-NExpTime, and we obtain a matching lower bound by showing that the satisfiability problem for two-variable first-order logic in the presence of two equivalence relations is 2-NExpTime-hard. The logics in question lack the finite model property; however, we show that the same complexity bounds hold for the corresponding finite sa…

Discrete mathematicsGeneral Computer ScienceLogical equivalenceFinite model propertyGeneral MathematicsDescriptive complexity theorySatisfiabilityDecidabilityFirst-order logicCombinatoricsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputer Science::Logic in Computer ScienceMaximum satisfiability problemClosure operatorEquivalence relationBoolean satisfiability problemMathematics2012 27th Annual IEEE Symposium on Logic in Computer Science
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A new formulation of the loop-tree duality at higher loops

2019

We present a new formulation of the loop-tree duality theorem for higher loop diagrams valid both for massless and massive cases. $l$-loop integrals are expressed as weighted sum of trees obtained from cutting $l$ internal propagators of the loop graph. In addition, the uncut propagators gain a modified $i \delta$-prescription, named dual-propagators. In this new framework one can go beyond graphs and calculate the integrand of loop amplitudes as a weighted sum of tree graphs, which form a tree-like object. These objects can be computed efficiently via recurrence relations.

Discrete mathematicsHigh Energy Physics - TheoryLoop (graph theory)Recurrence relationDuality (mathematics)PropagatorFOS: Physical sciencesObject (computer science)Tree (graph theory)Massless particleHigh Energy Physics - PhenomenologyAmplitudeHigh Energy Physics - Phenomenology (hep-ph)High Energy Physics - Theory (hep-th)Mathematics
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