Search results for "Mathematical analysis"

showing 10 items of 2409 documents

Local and nonlocal weighted pLaplacian evolution equations with Neumann boundary conditions

2011

In this paper we study existence and uniqueness of solutions to the local diffusion equation with Neumann boundary conditions and a bounded nonhomogeneous diffusion coefficient g ≥ 0, {ut = div (g|∇u|p-2∇u) in ]0; T[×Ωg|∇u|p-2u·n = 0 on ]0; T[×∂Ω; for 1 ≤ p < ∞. We show that a nonlocal counterpart of this diffusion problem is ut(t; x)= ∫ω J(x-y)g(x+y/2)|u(t; y)-u(t; x)| p-2 (u(t; y)-u(t; x)) dy in ]0; T[× Ω,where the diffusion coefficient has been reinterpreted by means of the values of g at the point x+y/2 in the integral operator. The fact that g ≥ 0 is allowed to vanish in a set of positive measure involves subtle difficulties, specially in the case p = 1.

Neumann boundary conditionsDiffusion equationGeneral MathematicsOperator (physics)Nonlocal diffusionMathematical analysisMeasure (mathematics)P-laplacianBounded functionNeumann boundary conditionp-LaplacianUniquenessDiffusion (business)Total variation flowMathematicsMathematical physics
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A nonlocal p-Laplacian evolution equation with Neumann boundary conditions

2008

In this paper we study the nonlocal p-Laplacian type diffusion equation,ut (t, x) = under(∫, Ω) J (x - y) | u (t, y) - u (t, x) |p - 2 (u (t, y) - u (t, x)) d y . If p &gt; 1, this is the nonlocal analogous problem to the well-known local p-Laplacian evolution equation ut = div (| ∇ u |p - 2 ∇ u) with homogeneous Neumann boundary conditions. We prove existence and uniqueness of a strong solution, and if the kernel J is rescaled in an appropriate way, we show that the solutions to the corresponding nonlocal problems converge strongly in L∞ (0, T ; Lp (Ω)) to the solution of the p-Laplacian with homogeneous Neumann boundary conditions. The extreme case p = 1, that is, the nonlocal analogous t…

Neumann boundary conditionsMathematics(all)Diffusion equationApplied MathematicsGeneral MathematicsNonlocal diffusionMathematical analysisp-LaplacianFlow (mathematics)Neumann boundary conditionp-LaplacianInitial value problemUniquenessBoundary value problemCalculus of variationsTotal variation flowMathematicsJournal de Mathématiques Pures et Appliquées
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Sharp estimates for eigenfunctions of a Neumann problem

2009

In this paper we provide some bounds for the eigenfunctions of the Laplacian with homogeneous Neumann boundary conditions in a bounded domain Ω of R^n. To this aim we use the so-called symmetrization techniques and the obtained estimates are asymptotically sharp, at least in the bidimensional case, when the isoperimetric constant relative to Ω goes to 0.

Neumann eigenvaluesApplied MathematicsMathematical analysisSymmetrizationMathematics::Spectral TheoryNeumann seriessymbols.namesakeVon Neumann algebraSettore MAT/05 - Analisi MatematicaBounded functionNeumann boundary conditionsymbolsSymmetrizationAbelian von Neumann algebraIsoperimetric inequalityAffiliated operatorAnalysisMathematics
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Remark on a nonlocal isoperimetric problem

2017

Abstract We consider isoperimetric problem with a nonlocal repulsive term given by the Newtonian potential. We prove that regular critical sets of the functional are analytic. This optimal regularity holds also for critical sets of the Ohta–Kawasaki functional. We also prove that when the strength of the nonlocal part is small the ball is the only possible stable critical set.

Newtonian potentialcritical pointsApplied Mathematics010102 general mathematicsMathematical analysista111Isoperimetric dimension01 natural sciences010101 applied mathematicsMathematics - Analysis of PDEsshape optimizationFOS: Mathematicsisoperimetric problemShape optimizationBall (mathematics)0101 mathematicsIsoperimetric inequalityAnalysisCritical setAnalysis of PDEs (math.AP)MathematicsNonlinear Analysis: Theory, Methods and Applications
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High-quality discretizations for microwave simulations

2016

We apply high-quality discretizations to simulate electromagnetic microwaves. Instead of the vector field presentations, we focus on differential forms and discretize the model in the spatial domain using the discrete exterior calculus. At the discrete level, both the Hodge operators and the time discretization are optimized for time-harmonic simulations. Non-uniform spatial and temporal discretization are applied in problems in which the wavelength is highly-variable and geometry contains sub-wavelength structures. peerReviewed

Noise measurementDiscretizationDifferential formMathematical analysisFinite difference methodnoise measurement010103 numerical & computational mathematicsmagnetic domainstime-domain analysis01 natural sciencesDiscrete exterior calculusVector field0101 mathematicsTemporal discretizationmicrowave theory and techniquesFocus (optics)finite difference methodskasvotMathematics2016 URSI International Symposium on Electromagnetic Theory (EMTS)
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Damage Identification of Beams Using Static Test Data

2003

A damage identification procedure for beams under static loads is presented. Damage is modelled through a damage distribution function which determines a variation of the beam stiffness with respect to a reference condition. Using the concept of the equivalent superimposed deformation, the equations governing the static problem are recast in a Fredholm’s integral equation of the second kind in terms of bending moments. The solution of this equation is obtained through an iterative procedure as well as in closed form. The latter is explicitly dependent from the damage parameters, thus, it can be conveniently used to set-up a damage identification procedure. Some numerical results are present…

NoiseIdentification (information)Distribution functionDeformation (mechanics)Bending stiffnessMathematical analysisStatic testingBending momentIntegral equationMathematics
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The Heat Content for Nonlocal Diffusion with Non-singular Kernels

2017

Abstract We study the behavior of the heat content for a nonlocal evolution problem.We obtain an asymptotic expansion for the heat content of a set D, defined as ℍ D J ⁢ ( t ) := ∫ D u ⁢ ( x , t ) ⁢ 𝑑 x ${\mathbb{H}_{D}^{J}(t):=\int_{D}u(x,t)\,dx}$ , with u being the solution to u t = J ∗ u - u ${u_{t}=J\ast u-u}$ withinitial condition u 0 = χ D ${u_{0}=\chi_{D}}$ . This expansion is given in terms of geometric values of D. As a consequence, we obtain that ℍ D J ⁢ ( t ) = | D | - P J ⁢ ( D ) ⁢ t + o ⁢ ( t ) ${\mathbb{H}^{J}_{D}(t)=\lvert D\rvert-P_{J}(D)t+o(t)}$ as t ↓ 0 ${t\downarrow 0}$ .We also recover the usual heat content for the heat equation when we rescale the kernel J in an appro…

Non singularGeneral Mathematics010102 general mathematics0103 physical sciencesMathematical analysisContent (measure theory)Statistical and Nonlinear Physics010307 mathematical physics0101 mathematicsDiffusion (business)01 natural sciencesMathematicsAdvanced Nonlinear Studies
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Existence and uniqueness of nontrivial collocation solutions of implicitly linear homogeneous Volterra integral equations

2011

We analyze collocation methods for nonlinear homogeneous Volterra-Hammerstein integral equations with non-Lipschitz nonlinearity. We present different kinds of existence and uniqueness of nontrivial collocation solutions and we give conditions for such existence and uniqueness in some cases. Finally we illustrate these methods with an example of a collocation problem, and we give some examples of collocation problems that do not fit in the cases studied previously.

Non-Lipschitz nonlinearityVolterra integral equationMathematics::Numerical Analysissymbols.namesakeMathematics - Analysis of PDEs45D05 45G10 65R20 34A12Computer Science::Computational Engineering Finance and ScienceCollocation methodFOS: MathematicsOrthogonal collocationNonlinear integral equationsMathematics - Numerical AnalysisUniquenessMathematicsPhysics::Computational PhysicsCollocation methodsCollocationApplied MathematicsMathematical analysisComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Numerical Analysis (math.NA)Nontrivial solutionsIntegral equationComputer Science::Numerical AnalysisNonlinear systemComputational MathematicssymbolsLinear equationAnalysis of PDEs (math.AP)Journal of Computational and Applied Mathematics
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Discrete wavelet transform implementation in Fourier domain for multidimensional signal

2002

Wavelet transforms are often calculated by using the Mallat algorithm. In this algorithm, a signal is decomposed by a cascade of filtering and downsampling operations. Computing time can be important but the filtering operations can be speeded up by using fast Fourier transform (FFT)-based convolutions. Since it is necessary to work in the Fourier domain when large filters are used, we present some results of Fourier-based optimization of the sampling operations. Acceleration can be obtained by expressing the samplings in the Fourier domain. The general equations of the down- and upsampling of digital multidimensional signals are given. It is shown that for special cases such as the separab…

Non-uniform discrete Fourier transformDiscrete-time Fourier transformMathematical analysisPrime-factor FFT algorithm020206 networking & telecommunications02 engineering and technologyAtomic and Molecular Physics and OpticsFractional Fourier transformDiscrete Fourier transformComputer Science ApplicationsMultidimensional signal processingDiscrete Fourier series0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingElectrical and Electronic EngineeringHarmonic wavelet transformAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUSMathematics
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A numerical study of the small dispersion limit of the Korteweg-de Vries equation and asymptotic solutions

2012

Abstract We study numerically the small dispersion limit for the Korteweg–de Vries (KdV) equation u t + 6 u u x + ϵ 2 u x x x = 0 for ϵ ≪ 1 and give a quantitative comparison of the numerical solution with various asymptotic formulae for small ϵ in the whole ( x , t ) -plane. The matching of the asymptotic solutions is studied numerically.

Nonlinear Sciences - Exactly Solvable and Integrable SystemsNumerical analysis010102 general mathematicsMathematical analysisMathematics::Analysis of PDEsFOS: Physical sciencesStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Condensed Matter Physics01 natural sciences010101 applied mathematicsMathematics - Analysis of PDEsNonlinear Sciences::Exactly Solvable and Integrable SystemsFOS: MathematicsLimit (mathematics)Exactly Solvable and Integrable Systems (nlin.SI)0101 mathematicsDispersion (water waves)Korteweg–de Vries equationSettore MAT/07 - Fisica MatematicaNonlinear Sciences::Pattern Formation and SolitonsMathematical PhysicsAnalysis of PDEs (math.AP)MathematicsMathematical physicsPhys. D 241 (2012), no. 23-24, 2246–2264
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