Search results for "Dirac comb"

showing 3 items of 3 documents

Integration of a Dirac comb and the Bernoulli polynomials

2016

Abstract For any positive integer n , we consider the ordinary differential equations of the form y ( n ) = 1 − Ш + F where Ш denotes the Dirac comb distribution and F is a piecewise- C ∞ periodic function with null average integral. We prove the existence and uniqueness of periodic solutions of maximal regularity. Above all, these solutions are given by means of finite explicit formulae involving a minimal number of Bernoulli polynomials. We generalize this approach to a larger class of differential equations for which the computation of periodic solutions is also sharp, finite and effective.

Bernoulli differential equationDifferential equations[ MATH ] Mathematics [math]Differential equationGeneral MathematicsBernoulli polynomials010102 general mathematicsMathematical analysisDirac combPiecewise-smooth01 natural sciencesDirac comb010305 fluids & plasmasBernoulli polynomialsPeriodic functionsymbols.namesakeDistribution (mathematics)Ordinary differential equation0103 physical sciencessymbols[MATH]Mathematics [math]0101 mathematicsBernoulli processMathematicsMSC: 34A36 37B55 11B68 70G60
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Universality of level spacing distributions in classical chaos

2007

Abstract We suggest that random matrix theory applied to a matrix of lengths of classical trajectories can be used in classical billiards to distinguish chaotic from non-chaotic behavior. We consider in 2D the integrable circular and rectangular billiard, the chaotic cardioid, Sinai and stadium billiard as well as mixed billiards from the Limacon/Robnik family. From the spectrum of the length matrix we compute the level spacing distribution, the spectral auto-correlation and spectral rigidity. We observe non-generic (Dirac comb) behavior in the integrable case and Wignerian behavior in the chaotic case. For the Robnik billiard close to the circle the distribution approaches a Poissonian dis…

PhysicsMathematics::Dynamical SystemsChaoticFOS: Physical sciencesGeneral Physics and AstronomyLevel-spacing distributionNonlinear Sciences - Chaotic Dynamics01 natural sciencesClassical physicsDirac comb010305 fluids & plasmasUniversality (dynamical systems)Nonlinear Sciences::Chaotic Dynamicssymbols.namesakeCardioidQuantum mechanics0103 physical sciencessymbolsStatistical physicsChaotic Dynamics (nlin.CD)Dynamical billiards010306 general physicsRandom matrixPhysics Letters A
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Total Variation Based Image Restoration

2004

For the purpose of image restoration the process of image formation can be modeled in a first approximation by the formula [207] $$ {u_d} = Q\{ II(k*u) + n\} , $$ (1.1) where u represents the photonic flux k is the point spread function of the optical-captor joint apparatus П is a sampling operator, i.e., a Dirac comb supported by the centers of the matrix of digital sensors, n represents a random perturbation due to photonic or electronic noise, and Qis a uniform quantization operator mapping ℝ to a discrete interval of values, typically [0, 255].

Point spread functionImage formationPhysicsDiscrete mathematicssymbols.namesakeMatrix (mathematics)Sampling (signal processing)Operator (physics)symbolsInterval (mathematics)Dirac combImage restoration
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