33 research outputs found

    Existence and instability of steady states for a triangular cross-diffusion system: a computer-assisted proof

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    In this paper, we present and apply a computer-assisted method to study steady states of a triangular cross-diffusion system. Our approach consist in an a posteriori validation procedure, that is based on using a fxed point argument around a numerically computed solution, in the spirit of the Newton-Kantorovich theorem. It allows us to prove the existence of various non homogeneous steady states for different parameter values. In some situations, we get as many as 13 coexisting steady states. We also apply the a posteriori validation procedure to study the linear stability of the obtained steady states, proving that many of them are in fact unstable

    Rigorous numerics for nonlinear operators with tridiagonal dominant linear part

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    We present a method designed for computing solutions of infinite dimensional non linear operators f(x)=0f(x) = 0 with a tridiagonal dominant linear part. We recast the operator equation into an equivalent Newton-like equation x=T(x)=x−Af(x)x = T(x) = x - Af(x), where AA is an approximate inverse of the derivative Df(x‾)Df(\overline x) at an approximate solution x‾\overline x. We present rigorous computer-assisted calculations showing that TT is a contraction near x‾\overline x, thus yielding the existence of a solution. Since Df(x‾)Df(\overline x) does not have an asymptotically diagonal dominant structure, the computation of AA is not straightforward. This paper provides ideas for computing AA, and proposes a new rigorous method for proving existence of solutions of nonlinear operators with tridiagonal dominant linear part.Comment: 27 pages, 3 figures, to be published in DCDS-A (Vol. 35, No. 10) October 2015 issu

    Continuation of homoclinic orbits in the suspension bridge equation: a computer-assisted proof

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    In this paper, we prove existence of symmetric homoclinic orbits for the suspension bridge equation u""+βu"+eu−1=0u""+\beta u" + e^u-1=0 for all parameter values β∈[0.5,1.9]\beta \in [0.5,1.9]. For each β\beta, a parameterization of the stable manifold is computed and the symmetric homoclinic orbits are obtained by solving a projected boundary value problem using Chebyshev series. The proof is computer-assisted and combines the uniform contraction theorem and the radii polynomial approach, which provides an efficient means of determining a set, centered at a numerical approximation of a solution, on which a Newton-like operator is a contraction.Comment: 37 pages, 6 figure

    Computation of maximal local (un)stable manifold patches by the parameterization method

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    In this work we develop some automatic procedures for computing high order polynomial expansions of local (un)stable manifolds for equilibria of differential equations. Our method incorporates validated truncation error bounds, and maximizes the size of the image of the polynomial approximation relative to some specified constraints. More precisely we use that the manifold computations depend heavily on the scalings of the eigenvectors: indeed we study the precise effects of these scalings on the estimates which determine the validated error bounds. This relationship between the eigenvector scalings and the error estimates plays a central role in our automatic procedures. In order to illustrate the utility of these methods we present several applications, including visualization of invariant manifolds in the Lorenz and FitzHugh-Nagumo systems and an automatic continuation scheme for (un)stable manifolds in a suspension bridge problem. In the present work we treat explicitly the case where the eigenvalues satisfy a certain non-resonance condition.Comment: Revised version, typos corrected, references adde

    Rigorous numerics for nonlinear operators with tridiagonal dominant linear parts

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    We present a method designed for computing solutions of infinite dimensional nonlinear operators f(x) = 0 with a tridiagonal dominant linear part. We recast the operator equation into an equivalent Newton-like equation x = T(x) = x - Af(x), where A is an approximate inverse of the derivative Df(¯x) at an approximate solution ¯x. We present rigorous computer-assisted calculations showing that T is a contraction near ¯x, thus yielding the existence of a solution. Since Df(¯x) does not have an asymptotically diagonal dominant structure, the computation of A is not straightforward. This paper provides ideas for computing A, and proposes a new rigorous method for proving existence of solutions of nonlinear operators with tridiagonal dominant linear part
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