Search results for "Linear"

showing 10 items of 7165 documents

Kernel theorems in the setting of mixed nonquasi-analytic classes

2008

Abstract Let Ω 1 ⊂ R r and Ω 2 ⊂ R s be nonempty and open. We introduce the Beurling–Roumieu spaces D ( ω 1 , ω 2 } ( Ω 1 × Ω 2 ) , D ( M , M ′ } ( Ω 1 × Ω 2 ) and obtain tensor product representations of them. This leads for instance to kernel theorems of the following type: every continuous linear map from the Beurling space D ( ω 1 ) ( Ω 1 ) (respectively D ( M ) ( Ω 1 ) ) into the strong dual of the Roumieu space D { ω 2 } ( Ω 2 ) (respectively D { M ′ } ( Ω 2 ) ) can be represented by a continuous linear functional on D ( ω 1 , ω 2 } ( Ω 1 × Ω 2 ) (respectively D ( M , M ′ } ( Ω 1 × Ω 2 ) ).

Discrete mathematicsCombinatoricsLinear mapTensor productKernel (set theory)Applied MathematicsLinear formType (model theory)Space (mathematics)AnalysisMathematicsJournal of Mathematical Analysis and Applications
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Symmetric identities in graded algebras

1997

Let P k be the symmetric polynomial of degree k i.e., the full linearization of the polynomial x k . Let G be a cancellation semigroup with 1 and R a G-graded ring with finite support of order n. We prove that if R 1 satisfies $ P_k \equiv 0 $ then R satisfies $ P_{kn} \equiv 0 $ .

Discrete mathematicsCombinatoricsPolynomial (hyperelastic model)Cancellative semigroupRing (mathematics)Symmetric polynomialDegree (graph theory)LinearizationGeneral MathematicsOrder (ring theory)Elementary symmetric polynomialMathematicsArchiv der Mathematik
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Lower space bounds for randomized computation

1994

It is a fundamental problem in the randomized computation how to separate different randomized time or randomized space classes (c.f., e.g., [KV87, KV88]). We have separated randomized space classes below log n in [FK94]. Now we have succeeded to separate small randomized time classes for multi-tape 2-way Turing machines. Surprisingly, these “small” bounds are of type n+f(n) with f(n) not exceeding linear functions. This new approach to “sublinear” time complexity is a natural counterpart to sublinear space complexity. The latter was introduced by considering the input tape and the work tape as separate devices and distinguishing between the space used for processing information and the spa…

Discrete mathematicsCombinatoricsTuring machinesymbols.namesakeSublinear functionKolmogorov complexitysymbolsType (model theory)Binary logarithmSpace (mathematics)Time complexityWord (computer architecture)Mathematics
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Basis-set completeness profiles in two dimensions

2002

A two-electron basis-set completeness profile is proposed by analogy with the one-electron profile introduced by D. P. Chong (Can J Chem 1995, 73, 79). It is defined as Y(alpha, beta) = sigmam sigman (Galpha(1)Gbeta(2)/(1/r12)/ psim(1)psin(2)) (psim(1)psin(2)/r12/Galpha(1)Gp(2)) and motivated by the expression for the basis-set truncation correction that occurs in the framework of explicitly correlated methods (Galpha is a scanning Gaussian-type orbital of exponent alpha and [psim] is the orthonormalized one-electron basis under study). The two-electron basis-set profiles provide a visual assessment of the suitability of basis sets to describe electron-correlation effects. Furthermore, they…

Discrete mathematicsComputational MathematicsAngular momentumBasis (linear algebra)TruncationCompleteness (order theory)ExponentGeneral ChemistryExpression (computer science)Linear subspaceBasis setMathematicsJournal of Computational Chemistry
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Fixed point theory for 1-set contractive and pseudocontractive mappings

2013

The purpose of this paper is to study the existence and uniqueness of fixed point for a class of nonlinear mappings defined on a real Banach space, which, among others, contains the class of separate contractive mappings, as well as to see that an important class of 1-set contractions and of pseudocontractions falls into this type of nonlinear mappings. As a particular case, we give an iterative method to approach the fixed point of a nonexpansive mapping. Later on, we establish some fixed point results of Krasnoselskii type for the sum of two nonlinear mappings where one of them is either a 1-set contraction or a pseudocontraction and the another one is completely continuous, which extend …

Discrete mathematicsComputational MathematicsNonlinear systemIterative methodApplied MathematicsBanach spaceFixed-point theoremUniquenessFixed pointFixed-point propertyCoincidence pointMathematicsApplied Mathematics and Computation
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Combinatorics of Finite Words and Suffix Automata

2009

The suffix automaton of a finite word is the minimal deterministic automaton accepting the language of its suffixes. The states of the suffix automaton are the classes of an equivalence relation defined on the set of factors. We explore the relationship between the combinatorial properties of a finite word and the structural properties of its suffix automaton. We give formulas for expressing the total number of states and the total number of edges of the suffix automaton in terms of special factors of the word.

Discrete mathematicsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)special factorNonlinear Sciences::Cellular Automata and Lattice GasesCombinatorics on WordAutomatonCombinatoricsCombinatorics on wordsDeterministic automatonSuffix automatonEquivalence relationQuantum finite automataSuffix automatonSuffixComputer Science::Data Structures and AlgorithmsComputer Science::Formal Languages and Automata TheoryWord (computer architecture)Mathematics
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Approximate convex hull of affine iterated function system attractors

2012

International audience; In this paper, we present an algorithm to construct an approximate convex hull of the attractors of an affine iterated function system (IFS). We construct a sequence of convex hull approximations for any required precision using the self-similarity property of the attractor in order to optimize calculations. Due to the affine properties of IFS transformations, the number of points considered in the construction is reduced. The time complexity of our algorithm is a linear function of the number of iterations and the number of points in the output convex hull. The number of iterations and the execution time increases logarithmically with increasing accuracy. In additio…

Discrete mathematicsConvex hull0209 industrial biotechnologyGeneral MathematicsApplied Mathematics010102 general mathematicsProper convex functionConvex setMathematicsofComputing_GENERALGeneral Physics and AstronomyStatistical and Nonlinear Physics02 engineering and technology[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]01 natural sciences[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]020901 industrial engineering & automationAffine hullTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYConvex polytopeOutput-sensitive algorithmConvex combination0101 mathematicsConvex conjugateMathematics
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Regular Varieties of Automata and Coequations

2015

In this paper we use a duality result between equations and coequations for automata, proved by Ballester-Bolinches, Cosme-Ll´opez, and Rutten to characterize nonempty classes of deterministic automata that are closed under products, subautomata, homomorphic images, and sums. One characterization is as classes of automata defined by regular equations and the second one is as classes of automata satisfying sets of coequations called varieties of languages. We show how our results are related to Birkhoff’s theorem for regular varieties.

Discrete mathematicsData ScienceDuality (mathematics)Homomorphic encryptionCharacterization (mathematics)Nonlinear Sciences::Cellular Automata and Lattice GasesAutomatonDeterministic automatonComputingMethodologies_DOCUMENTANDTEXTPROCESSINGQuantum finite automataLecture Notes in Computer ScienceÀlgebraAlgebra over a fieldComputer Science::Formal Languages and Automata TheoryAutomatitzacióMathematics
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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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Topological direct sum decompositions of banach spaces

1990

LetY andZ be two closed subspaces of a Banach spaceX such thatY≠lcub;0rcub; andY+Z=X. Then, ifZ is weakly countably determined, there exists a continuous projectionT inX such that ∥T∥=1,T(X)⊃Y, T −1(0)⊂Z and densT(X)=densY. It follows that every Banach spaceX is the topological direct sum of two subspacesX 1 andX 2 such thatX 1 is reflexive and densX 2**=densX**/X.

Discrete mathematicsDense setDirect sumGeneral MathematicsExistential quantificationBanach spaceBanach manifoldAlgebra over a fieldTopologyLinear subspaceMathematicsIsrael Journal of Mathematics
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