Search results for "Matrix"

showing 10 items of 3205 documents

Grover’s Algorithm with Errors

2013

Grover’s algorithm is a quantum search algorithm solving the unstructured search problem of size n in \(O(\sqrt{n})\) queries, while any classical algorithm needs O(n) queries [3].

Discrete mathematicsDensity matrixComputer Science::Information RetrievalProbability of errorGrover's algorithmMatrix normSearch problemQuantum algorithmQuantum search algorithmComputer Science::DatabasesMathematics
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BLD -mappings in $W^{2,2}$ are locally invertible

2000

We prove that mappings of bounded length distortion are local homeomorphisms if they have L 2 -integrable weak second derivatives.

Discrete mathematicsDistortion (mathematics)Invertible matrixIntegrable systemlawGeneral MathematicsBounded functionMathematics::General TopologySecond derivativeMathematicslaw.inventionMathematische Annalen
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Strongly invertible links and divides

2008

Abstract To a proper generic immersion of a finite number of copies of the unit interval in a 2-disc, called a divide, A’Campo associates a link in S 3 . From the more general notion of ordered Morse signed divides, one obtains a braid presentation of links of divides. In this paper, we prove that every strongly invertible link is isotopic to the link of an ordered Morse signed divide. We give fundamental moves for ordered Morse signed divides and show that strongly invertible links are equivalent if and only if we can pass from one ordered Morse signed divide to the other by a sequence of such moves. Then we associate a polynomial to an ordered Morse signed divide, invariant for these move…

Discrete mathematicsDividesMorse codelaw.inventionCombinatoricsMorse signed dividesInvertible matrixlawBraidImmersion (mathematics)Strongly invertible linksGeometry and TopologyInvariant (mathematics)Finite setMathematicsTopology
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If P≠NP then some strongly noninvertible functions are invertible

2006

AbstractRabi, Rivest, and Sherman alter the standard notion of noninvertibility to a new notion they call strong noninvertibility, and show—via explicit cryptographic protocols for secret-key agreement (Rabi and Sherman attribute this protocol to Rivest and Sherman) and digital signatures (Rabi and Sherman)—that strongly noninvertible functions are very useful components in protocol design. Their definition of strong noninvertibility has a small twist (“respecting the argument given”) that is needed to ensure cryptographic usefulness. In this paper, we show that this small twist has a consequence: unless P=NP, some strongly noninvertible functions are invertible.

Discrete mathematicsGeneral Computer ScienceComputational complexity theorybusiness.industryP versus NP problemOne-way functionsCryptographyOne-way functionCryptographic protocolTheoretical Computer Sciencelaw.inventionComputational complexityInvertible matrixDigital signaturelawAssociativityCryptographyStrong noninvertibilitybusinessAssociative propertyMathematicsTheoretical Computer Science
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Graded Involutions on Upper-triangular Matrix Algebras

2009

Let UTn be the algebra of n × n upper-triangular matrices over an algebraically closed field of characteristic zero. We describe all G-gradings on UTn by a finite abelian group G commuting with an involution (involution gradings).

Discrete mathematicsInvolution (mathematics)Pure mathematicsAlgebra and Number TheoryApplied MathematicsTriangular matrixAlgebraically closed fieldAbelian groupComputer Science::Information TheoryMathematicsAlgebra Colloquium
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Finite linear spaces in which any n-gon is euclidean

1986

Abstract An n-gon of a linear space is a set S of n points no three of which are collinear. By a diagonal point of S we mean a point p off S with the property that at least two lines through p intersect S in two points. The number of diagonal points is called the type of S. For example, a 4-gon has at most three diagonal points. We call an n-gon euclidean if (roughly speaking) it contains the maximal possible number of 4-gons of type 3. In this paper, we characterize all finite linear spaces in which, for a fixed number n ⩾ 5, any n-gon is euclidean. It turns out that these structures are essentially projective spaces or punctured projective spaces.

Discrete mathematicsLinear spaceDiagonalComputer Science::Computational GeometryEuclidean distance matrixTheoretical Computer ScienceCombinatoricsEuclidean geometryHomographyAffine spaceMathematics::Metric GeometryDiscrete Mathematics and CombinatoricsPoint (geometry)Linear separabilityMathematicsDiscrete Mathematics
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A General Algorithm to Calculate the Inverse Principal $p$-th Root of Symmetric Positive Definite Matrices

2019

We address the general mathematical problem of computing the inverse p-th root of a given matrix in an efficient way. A new method to construct iteration functions that allow calculating arbitrary p-th roots and their inverses of symmetric positive definite matrices is presented. We show that the order of convergence is at least quadratic and that adaptively adjusting a parameter q always leads to an even faster convergence. In this way, a better performance than with previously known iteration schemes is achieved. The efficiency of the iterative functions is demonstrated for various matrices with different densities, condition numbers and spectral radii.

Discrete mathematicsMathematical problemPhysics and Astronomy (miscellaneous)Root (chord)InversePositive-definite matrixMathematics - Rings and AlgebrasNumerical Analysis (math.NA)01 natural sciences010101 applied mathematicsMatrix (mathematics)Quadratic equationRate of convergenceRings and Algebras (math.RA)Convergence (routing)FOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsMathematics
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On the best Lipschitz extension problem for a discrete distance and the discrete ∞-Laplacian

2012

Abstract This paper concerns the best Lipschitz extension problem for a discrete distance that counts the number of steps. We relate this absolutely minimizing Lipschitz extension with a discrete ∞-Laplacian problem, which arises as the dynamic programming formula for the value function of some e -tug-of-war games. As in the classical case, we obtain the absolutely minimizing Lipschitz extension of a datum f by taking the limit as p → ∞ in a nonlocal p -Laplacian problem.

Discrete mathematicsMathematics(all)General MathematicsApplied MathematicsMathematics::Analysis of PDEsTug-of-war gamesExtension (predicate logic)Lipschitz continuityDynamic programmingLipschitz domainBellman equationInfinity LaplacianNonlocal p-Laplacian problemLimit (mathematics)Lipschitz extensionLaplacian matrixLaplace operatorMathematicsJournal de Mathématiques Pures et Appliquées
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P-matrix completions under weak symmetry assumptions

2000

An n-by-n matrix is called a Π-matrix if it is one of (weakly) sign-symmetric, positive, nonnegative P-matrix, (weakly) sign-symmetric, positive, nonnegative P0,1-matrix, or Fischer, or Koteljanskii matrix. In this paper, we are interested in Π-matrix completion problems, that is, when a partial Π-matrix has a Π-matrix completion. Here, we prove that a combinatorially symmetric partial positive P-matrix has a positive P-matrix completion if the graph of its specified entries is an n-cycle. In general, a combinatorially symmetric partial Π-matrix has a Π-matrix completion if the graph of its specified entries is a 1-chordal graph. This condition is also necessary for (weakly) sign-symmetric …

Discrete mathematicsMatrix completionNumerical AnalysisAlgebra and Number TheorySymmetric graphCombinatorial symmetry010102 general mathematicsComparability graphIncidence matrix010103 numerical & computational mathematics01 natural sciencesGraphCombinatoricsVertex-transitive graphP-matrixGraph powerDiscrete Mathematics and CombinatoricsRegular graphAdjacency matrixGeometry and Topology0101 mathematicsComplement graphMathematicsLinear Algebra and its Applications
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Some properties of [tr(Q2p)]12p with application to linear minimax estimation

1990

Abstract A nondifferentiable minimization problem is considered which occurs in linear minimax estimation. This problem is solved by replacing the nondifferentiable maximal eigenvalue of a real nonnegative definite matrix Q with [tr( Q 2 p )] 1/2 p . It is shown that any descent algorithm with inexact step-length rule can be used to obtain linear minimax estimators for the parameter vector of a parameter-restricted linear model.

Discrete mathematicsNumerical AnalysisAlgebra and Number TheoryMinimization problemLinear modelMathematics::Optimization and ControlMinimaxMinimax approximation algorithmMatrix (mathematics)Discrete Mathematics and CombinatoricsGeometry and TopologyMinimax estimatorDescent algorithmEigenvalues and eigenvectorsMathematicsLinear Algebra and its Applications
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