Search results for " Geometry"

showing 10 items of 2294 documents

The smallest singular value of a shifted $d$-regular random square matrix

2017

We derive a lower bound on the smallest singular value of a random d-regular matrix, that is, the adjacency matrix of a random d-regular directed graph. Specifically, let $$C_1<d< c n/\log ^2 n$$ and let $$\mathcal {M}_{n,d}$$ be the set of all $$n\times n$$ square matrices with 0 / 1 entries, such that each row and each column of every matrix in $$\mathcal {M}_{n,d}$$ has exactly d ones. Let M be a random matrix uniformly distributed on $$\mathcal {M}_{n,d}$$ . Then the smallest singular value $$s_{n} (M)$$ of M is greater than $$n^{-6}$$ with probability at least $$1-C_2\log ^2 d/\sqrt{d}$$ , where c, $$C_1$$ , and $$C_2$$ are absolute positive constants independent of any other parameter…

Statistics and ProbabilityIdentity matrixAdjacency matrices01 natural sciencesSquare matrixCombinatorics010104 statistics & probabilityMatrix (mathematics)Mathematics::Algebraic GeometryFOS: MathematicsMathematics - Combinatorics60B20 15B52 46B06 05C80Adjacency matrix0101 mathematicsCondition numberCondition numberMathematicsRandom graphsRandom graphLittlewood–Offord theorySingularity010102 general mathematicsProbability (math.PR)InvertibilityRegular graphsSingular valueSmallest singular valueAnti-concentrationSingular probabilitySparse matricesCombinatorics (math.CO)Statistics Probability and UncertaintyRandom matricesRandom matrixMathematics - ProbabilityAnalysis
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Estimation of orientation characteristic of fibrous material

2001

A new statistical method for estimating the orientation distribution of fibres in a fibre process is suggested where the process is observed in the form of a degraded digital greyscale image. The method is based on line transect sampling of the image in a few fixed directions. A well-known method based on stereology is available if the intersections between the transects and fibres can be counted. We extend this to the case where, instead of the intersection points, only scaled variograms of grey levels along the transects are observed. The nonlinear estimation equations for a parametric orientation distribution as well as a numerical algorithm are given. The method is illustrated by a real…

Statistics and ProbabilityMathematical optimizationOrientation (computer vision)Applied Mathematics010102 general mathematicsGeometry01 natural sciencesGrayscaleIntersection (Euclidean geometry)010104 statistics & probabilityNonlinear systemDigital imageLine (geometry)0101 mathematicsTransectMathematicsParametric statisticsAdvances in Applied Probability
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Broken ray transform on a Riemann surface with a convex obstacle

2014

We consider the broken ray transform on Riemann surfaces in the presence of an obstacle, following earlier work of Mukhometov. If the surface has nonpositive curvature and the obstacle is strictly convex, we show that a function is determined by its integrals over broken geodesic rays that reflect on the boundary of the obstacle. Our proof is based on a Pestov identity with boundary terms, and it involves Jacobi fields on broken rays. We also discuss applications of the broken ray transform.

Statistics and ProbabilityMathematics - Differential GeometryGeodesicAstrophysics::High Energy Astrophysical PhenomenaBoundary (topology)Curvature01 natural sciencessymbols.namesakeMathematics - Analysis of PDEsFOS: Mathematics0101 mathematicsMathematicsRiemann surface010102 general mathematicsMathematical analysista111Regular polygonSurface (topology)boundary010101 applied mathematicsDifferential Geometry (math.DG)Obstaclesymbolstensor tomographyGeometry and TopologyStatistics Probability and UncertaintydimensionsConvex functionAnalysisAnalysis of PDEs (math.AP)
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Three-qutrit entanglement and simple singularities

2016

In this paper, we use singularity theory to study the entanglement nature of pure three-qutrit systems. We first consider the algebraic variety $X$ of separable three-qutrit states within the projective Hilbert space $\mathbb{P}(\mathcal{H}) = \mathbb{P}^{26}$. Given a quantum pure state $|\varphi\rangle\in \mathbb{P}(\mathcal{H})$ we define the $X_\varphi$-hypersuface by cutting $X$ with a hyperplane $H_\varphi$ defined by the linear form $\langle\varphi|$ (the $X_\varphi$-hypersurface of $X$ is $X\cap H_\varphi \subset X$). We prove that when $|\varphi\rangle$ ranges over the SLOCC entanglement classes, the "worst" possible singular $X_\varphi$-hypersuface with isolated singularities, has…

Statistics and ProbabilityMathematics::Functional AnalysisQuantum PhysicsPure mathematicsSingularity theory010102 general mathematicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsAlgebraic varietyQuantum PhysicsQuantum entanglementSingular point of a curve01 natural sciencesMathematics - Algebraic GeometryHypersurfaceHyperplaneModeling and Simulation0103 physical sciencesProjective Hilbert space0101 mathematicsQutrit010306 general physicsMathematical PhysicsMathematicsJournal of Physics A: Mathematical and Theoretical
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Self-consistent Euclidean-random-matrix theory

2019

Statistics and ProbabilityPhysicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsSelf consistentsymbols.namesakeModeling and SimulationEuclidean geometrysymbolsBoson peakRayleigh scatteringRandom matrixMathematical PhysicsMathematical physicsJournal of Physics A: Mathematical and Theoretical
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A nonstationary cylinder-based model describing group dispersal in a fragmented habitat

2014

International audience; A doubly nonstationary cylinder-based model is built to describe the dispersal of a population from a point source. In this model, each cylinder represents a fraction of the population, i.e., a group. Two contexts are considered: The dispersal can occur in a uniform habitat or in a fragmented habitat described by a conditional Boolean model. After the construction of the models, we investigate their properties: the first and second order moments, the probability that the population vanishes, and the distribution of the spatial extent of the population.

Statistics and ProbabilityPoint sourcePopulation92D25Spatial extentFragmentationStatisticsRandom cylinder92D30CylinderQuantitative Biology::Populations and EvolutionObject-based model[INFO]Computer Science [cs]Statistical physics60D05[MATH]Mathematics [math]educationMathematics60G60ta112education.field_of_studyBoolean modelApplied MathematicsFragmentation (computing)Boolean modelDispersal60K37HabitatModeling and Simulation60K9992D40Biological dispersalPopulation vanishing60G55Distribution (differential geometry)
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Explicit near-symplectic mappings of Hamiltonian systems with Lie-generating functions

2008

The construction of explicit near-symplectic mappings for generic Hamiltonian systems with the utilization of Lie transforms is presented. The method is mathematically rigorous and systematically extended to high order with respect to a perturbation parameter. The explicit mappings are compared to their implicit counterparts, which use mixed-variable generating functions, in terms of conservation of invariant quantities, calculation speed and accurate construction of Poincare surfaces of sections. The comparative study considers a wide range of parameters and initial conditions for which different time scales are involved due to large differences between internal and external frequencies of…

Statistics and ProbabilityPure mathematicsGenerating functionGeneral Physics and AstronomyPerturbation (astronomy)Statistical and Nonlinear PhysicsInvariant (physics)TopologyHamiltonian systemsymbols.namesakeModeling and SimulationPoincaré conjecturesymbolsMathematical PhysicsSymplectic geometrySymplectic manifoldPoincaré mapMathematicsJournal of Physics A: Mathematical and Theoretical
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A tomographic approach to non-Markovian master equations

2010

We propose a procedure based on symplectic tomography for reconstructing the unknown parameters of a convolutionless non-Markovian Gaussian noisy evolution. Whenever the time-dependent master equation coefficients are given as a function of some unknown time-independent parameters, we show that these parameters can be reconstructed by means of a finite number of tomograms. Two different approaches towards reconstruction, integral and differential, are presented and applied to a benchmark model made of a harmonic oscillator coupled to a bosonic bath. For this model the number of tomograms needed to retrieve the unknown parameters is explicitly computed.

Statistics and ProbabilityQuantum PhysicsSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciComputer scienceGaussianFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsFunction (mathematics)symbols.namesakeTomography Gaussian evolutionModeling and SimulationMaster equationsymbolsApplied mathematicsTomographyDifferential (infinitesimal)Quantum Physics (quant-ph)Finite setMathematical PhysicsHarmonic oscillatorSymplectic geometry
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Standard forms and entanglement engineering of multimode Gaussian states under local operations

2007

We investigate the action of local unitary operations on multimode (pure or mixed) Gaussian states and single out the minimal number of locally invariant parametres which completely characterise the covariance matrix of such states. For pure Gaussian states, central resources for continuous-variable quantum information, we investigate separately the parametre reduction due to the additional constraint of global purity, and the one following by the local-unitary freedom. Counting arguments and insights from the phase-space Schmidt decomposition and in general from the framework of symplectic analysis, accompany our description of the standard form of pure n-mode Gaussian states. In particula…

Statistics and ProbabilitySchmidt decompositionGaussianGeneral Physics and AstronomyFOS: Physical sciencesQuantum entanglementUnitary statesymbols.namesakeSYSTEMSFOS: MathematicsCONTINUOUS-VARIABLESStatistical physicsQuantum informationMathematical PhysicsMathematicsQuantum PhysicsCovariance matrixStatistical and Nonlinear PhysicsInvariant (physics)QUANTUM TELEPORTATION NETWORKMathematics - Symplectic GeometryModeling and SimulationPhase spacesymbolsSymplectic Geometry (math.SG)Quantum Physics (quant-ph)Optics (physics.optics)Physics - Optics
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Geometric Entropies of Mixing (EOM)

2005

Trigonometric and trigonometric-algebraic entropies are introduced. Regularity increases the entropy and the maximal entropy is shown to result when a regular $n$-gon is inscribed in a circle. A regular $n$-gon circumscribing a circle gives the largest entropy reduction, or the smallest change in entropy from the state of maximum entropy which occurs in the asymptotic infinite $n$ limit. EOM are shown to correspond to minimum perimeter and maximum area in the theory of convex bodies, and can be used in the prediction of new inequalities for convex sets. These expressions are shown to be related to the phase functions obtained from the WKB approximation for Bessel and Hermite functions.

Statistics and ProbabilityStatistical Mechanics (cond-mat.stat-mech)Principle of maximum entropyConfiguration entropyMathematical analysisMaximum entropy thermodynamicsMin entropyFOS: Physical sciencesStatistical and Nonlinear PhysicsComputer Science::Computational GeometryQuantum relative entropyMaximum entropy probability distributionMathematics::Metric GeometryMathematical PhysicsEntropy rateJoint quantum entropyCondensed Matter - Statistical MechanicsMathematics
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