Search results for " Matrix"

showing 10 items of 2053 documents

Computing the Kekulé structure count for alternant hydrocarbons

2002

A fast computer algorithm brings computation of the permanents of sparse matrices, specifically, molecular adjacency matrices. Examples and results are presented, along with a discussion of the relationship of the permanent to the Kekule structure count. A simple method is presented for determining the Kekule structure count of alternant hydrocarbons. For these hydrocarbons, the square of the Kekule structure count is equal to the permanent of the adjacency matrix. In addition, for alternant structures the adjacency matrix for N atoms can be written in such a way that only an N/2 × N/2 matrix need be evaluated. The Kekule structure count correlates with topological indices. The inclusion of…

CombinatoricsMatrix (mathematics)Alternant hydrocarbonLogarithmSimple (abstract algebra)Adjacency matrixPhysical and Theoretical ChemistryCondensed Matter PhysicsAtomic and Molecular Physics and OpticsOrder of magnitudeSquare (algebra)MathematicsSparse matrixInternational Journal of Quantum Chemistry
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Perturbations of Jordan Blocks

2019

In this chapter we shall study the spectrum of a random perturbation of the large Jordan block A0, introduced in Sect. 2.4: $$\displaystyle A_0=\begin {pmatrix}0 &1 &0 &0 &\ldots &0\\ 0 &0 &1 &0 &\ldots &0\\ 0 &0 &0 &1 &\ldots &0\\ . &. &. &. &\ldots &.\\ 0 &0 &0 &0 &\ldots &1\\ 0 &0 &0 &0 &\ldots &0 \end {pmatrix}: {\mathbf {C}}^N\to {\mathbf {C}}^N. $$ Zworski noticed that for every z ∈ D(0, 1), there are associated exponentially accurate quasimodes when N →∞. Hence the open unit disc is a region of spectral instability. We have spectral stability (a good resolvent estimate) in \(\mathbf {C}\setminus \overline {D(0,1)}\), since ∥A0∥ = 1. σ(A0) = {0}.

CombinatoricsPhysicsJordan matrixsymbols.namesakeOpen unitSpectrum (functional analysis)symbolsSpectral stabilityRandom perturbationResolvent
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Asymptotics for the standard and the Capelli identities

2003

Let {c n (St k )} and {c n (C k )} be the sequences of codimensions of the T-ideals generated by the standard polynomial of degreek and by thek-th Capelli polynomial, respectively. We study the asymptotic behaviour of these two sequences over a fieldF of characteristic zero. For the standard polynomial, among other results, we show that the following asymptotic equalities hold: $$\begin{gathered} c_n \left( {St_{2k} } \right) \simeq c_n \left( {C_{k^2 + 1} } \right) \simeq c_n \left( {M_k \left( F \right)} \right), \hfill \\ c_n \left( {St_{2k + 1} } \right) \simeq c_n \left( {M_{k \times 2k} \left( F \right) \oplus M_{2k \times k} \left( F \right)} \right), \hfill \\ \end{gathered} $$ wher…

CombinatoricsPolynomialGeneral MathematicsZero (complex analysis)Block (permutation group theory)Triangular matrixAlgebra over a fieldMathematicsIsrael Journal of Mathematics
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Braiding minimal sets of vector fields

2002

We extend a classical but fundamental theorem of knot and braid theories to describe the geometry of nonsingular minimal sets of 3-dimensional flows.

CombinatoricsPure mathematicsInvertible matrixFundamental theoremlawApplied MathematicsGeneral MathematicsBraidVector fieldMathematics::Geometric TopologyKnot (mathematics)Mathematicslaw.inventionProceedings of the American Mathematical Society
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Spectral density of the correlation matrix of factor models: a random matrix theory approach.

2005

We studied the eigenvalue spectral density of the correlation matrix of factor models of multivariate time series. By making use of the random matrix theory, we analytically quantified the effect of statistical uncertainty on the spectral density due to the finiteness of the sample. We considered a broad range of models, ranging from one-factor models to hierarchical multifactor models.

CombinatoricsScatter matrixCentering matrixMatrix functionStatistical physicsMultivariate t-distributionNonnegative matrixFinance Commerce correlation matrixRandom matrixSquare matrixData matrix (multivariate statistics)MathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Y-proper graded cocharacters of upper triangular matrices of order m graded by the m-tuple ϕ=(0,0,1,…,m−2)

2015

Abstract Let F be a field of characteristic 0. We consider the algebra UT m ( F ) of upper triangular matrices of order m endowed with an elementary Z m -grading induced by the m-tuple ϕ = ( 0 , 0 , 1 , … , m − 2 ) , then we compute its Y-proper graded cocharacter sequence and we give the explicit formulas for the multiplicities in the case m = 2 , 3 , 4 , 5 .

CombinatoricsSequenceAlgebra and Number TheoryTriangular matrixOrder (group theory)Field (mathematics)Algebra over a fieldTupleMathematicsJournal of Algebra
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A Criterion for Attaining the Welch Bounds with Applications for Mutually Unbiased Bases

2008

The paper gives a short introduction to mutually unbiased bases and the Welch bounds and demonstrates that the latter is a good technical tool to explore the former. In particular, a criterion for a system of vectors to satisfy the Welch bounds with equality is given and applied for the case of MUBs. This yields a necessary and sufficient condition on a set of orthonormal bases to form a complete system of MUBs. This condition takes an especially elegant form in the case of homogeneous systems of MUBs. We express some known constructions of MUBs in this form. Also it is shown how recently obtained results binding MUBs and some combinatorial structures (such as perfect nonlinear functions an…

CombinatoricsSet (abstract data type)Discrete mathematicsNonlinear systemWelch boundsHomogeneousOrthonormal basisAbelian groupNuclear ExperimentMutually unbiased basesHadamard matrixMathematics
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O(n 2 log n) Time On-Line Construction of Two-Dimensional Suffix Trees

2005

The two-dimensional suffix tree of an n × n square matrix A is a compacted trie that represents all square submatrices of Ai¾?[9]. For the off-line case, i.e., A is given in advance to the algorithm, it is known how to build it in optimal time, for any type of alphabet sizei¾?[9,15]. Motivated by applications in Image Compressioni¾?[18], Giancarlo and Guaianai¾?[12] considered the on-line version of the two-dimensional suffix tree and presented an On2log2n-time algorithm, which we refer to as GG. That algorithm is a non-trivial generalization of Ukkonen's on-line algorithm for standard suffix trees [19]. The main contribution in this paper is an Olog n factor improvement in the time complex…

CombinatoricsSet (abstract data type)lawSuffix treeTrieGeneralized suffix treeBlock matrixUkkonen's algorithmSuffixTime complexityMathematicslaw.invention
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Y-proper graded cocharacters and codimensions of upper triangular matrices of size 2, 3, 4

2012

Abstract Let F be a field of characteristic 0. We consider the upper triangular matrices with entries in F of size 2, 3 and 4 endowed with the grading induced by that of Vasilovsky. In this paper we give explicit computation for the multiplicities of the Y -proper graded cocharacters and codimensions of these algebras.

CombinatoricsSettore MAT/02 - AlgebraAlgebra and Number TheoryMathematics::Commutative AlgebraGraded identitiesComputationPolynomial identities graded identitiesTriangular matrixPolynomial identitiesMathematicsJournal of Algebra
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Quantum like modelling of decision making: quantifying uncertainty with the aid of the Heisenberg-Robertson inequality

2018

This paper contributes to quantum-like modeling of decision making (DM) under uncertainty through application of Heisenberg’s uncertainty principle (in the form of the Robertson inequality). In this paper we apply this instrument to quantify uncertainty in DM performed by quantum-like agents. As an example, we apply the Heisenberg uncertainty principle to the determination of mutual interrelation of uncertainties for “incompatible questions” used to be asked in political opinion pools. We also consider the problem of representation of decision problems, e.g., in the form of questions, by Hermitian operators, commuting and noncommuting, corresponding to compatible and incompatible questions …

Compatible and incompatible questionPsychology (all)Uncertainty principleInequalityComputer sciencemedia_common.quotation_subjectMental stateHeisenberg uncertainty principle050105 experimental psychology03 medical and health sciencessymbols.namesake0302 clinical medicine0501 psychology and cognitive sciencesQuantumGeneral Psychologymedia_commonApplied Mathematics05 social sciencesHilbert spaceObservableDecision problemOrder effect16. Peace & justiceHermitian matrixMental statesymbolsDecision makingMathematical economics030217 neurology & neurosurgery
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