59 research outputs found

    On the limit configuration of four species strongly competing systems

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    We analysed some qualitative properties of the limit configuration of the solutions of a reaction-diffusion system of four competing species as the competition rate tends to infinity. Large interaction induces the spatial segregation of the species and only two limit configurations are possible: either there is a point where four species concur, a 4-point, or there are two points where only three species concur. We characterized, for a given datum, the possible 4-point configuration by means of the solution of a Dirichlet problem for the Laplace equation

    Fast cubature of high dimensional biharmonic potential based on Approximate Approximations

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    We derive new formulas for the high dimensional biharmonic potential acting on Gaussians or Gaussians times special polynomials. These formulas can be used to construct accurate cubature formulas of an arbitrary high order which are fast and effective also in very high dimensions. Numerical tests show that the formulas are accurate and provide the predicted approximation rate (O(h^8)) up to the dimension 10^7

    Accurate computation of the high dimensional diffraction potential over hyper-rectangles

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    We propose a fast method for high order approximation of potentials of the Helmholtz type operator Delta+kappa^2 over hyper-rectangles in R^n. By using the basis functions introduced in the theory of approximate approximations, the cubature of a potential is reduced to the quadrature of one-dimensional integrals with separable integrands. Then a separated representation of the density, combined with a suitable quadrature rule, leads to a tensor product representation of the integral operator. Numerical tests show that these formulas are accurate and provide approximations of order 6 up to dimension 100 and kappa^2=100

    Fast cubature of volume potentials over rectangular domains

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    In the present paper we study high-order cubature formulas for the computation of advection-diffusion potentials over boxes. By using the basis functions introduced in the theory of approximate approximations, the cubature of a potential is reduced to the quadrature of one dimensional integrals. For densities with separated approximation, we derive a tensor product representation of the integral operator which admits efficient cubature procedures in very high dimensions. Numerical tests show that these formulas are accurate and provide approximation of order O(h6)O(h^6) up to dimension 10810^8.Comment: 17 page

    Tensor product approximations of high dimensional potentials

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    The paper is devoted to the efficient computation of high-order cubature formulas for volume potentials obtained within the framework of approximate approximations. We combine this approach with modern methods of structured tensor product approximations. Instead of performing high-dimensional discrete convolutions the cubature of the potentials can be reduced to a certain number of one-dimensional convolutions leading to a considerable reduction of computing resources. We propose one-dimensional integral representions of high-order cubature formulas for n-dimensional harmonic and Yukawa potentials, which allow low rank tensor product approximations.Comment: 20 page

    On the computation of high-dimensional potentials of advection-diffusion operators

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    We study a fast method for computing potentials of advection-diffusion operators −D+2bcdotabla+c-D +2bcdot abla+c with binCnbinC^n and cinCcin C over rectangular boxes in R^n. By combining high-order cubature formulas with modern methods of structured tensor product approximations we derive an approximation of the potentials which is accurate and provides approximation formulas of high-order. The cubature formulas have been obtained by using the basis functions introduced in the theory of approximate approximations. The action of volume potentials on the basis functions allows one-dimensional integral representations with separable integrands i.e. a product of functions depending only on one of the variables. Then a separated representation of the density, combined with a suitable quadrature rule, leads to a tensor product representation of the integral operator. Since only one-dimensional operations are used, the resulting method is effective also in high-dimensional case

    Geometry of the limiting solution of a strongly competing system

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    We report on known results on the geometry of the limiting solutions of a reaction-diffusion system in any number of competing species k as the competition rate m tends to infinity. The case k=8 is studied in detail. We provide numerical simulations of solutions of the system for k=4,6,8 and large competition rate. Thanks to FreeFEM++ software, we obtain nodal partitions showing the predicted limiting configurations

    A fast solution method for time dependent multidimensional Schrödinger equations

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    In this paper we propose fast solution methods for the Cauchy problem for the multidimensional Schrödinger equation. Our approach is based on the approximation of the data by the basis functions introduced in the theory of approximate approximations. We obtain high order approximations also in higher dimensions up to a small saturation error, which is negligible in computations, and we prove error estimates in mixed Lebesgue spaces for the inhomogeneous equation. The proposed method is very efficient in high dimensions if the densities allow separated representations. We illustrate the efficiency of the procedure on different examples, up to approximation order 6 and space dimension 200

    Approximation of solutions to multidimensional parabolic equations by approximate approximations

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    We propose a fast method for high order approximations of the solution of n-dimensional parabolic problems over hyper-rectangular domains in the framework of the method of approximate approximations. This approach, combined with separated representations, makes our method effective also in very high dimensions. We report on numerical results illustrating that our formulas are accurate and provide the predicted approximation rate 6 also in high dimensions
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