27 research outputs found

    Decay Rates of Solutions for Non-Degenerate Kirchhoff Type Dissipative Wave Equations

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    Consider the Cauchy problem for the non-degenerate Kirchhoff type dissipative wave equations with the initial data belonging to (H2(RN)āˆ©L1(RN))Ɨ(H1(RN)āˆ©L1(RN)). Using the Fourier transform method in the L2 āˆ© L1-frame, we can improve the decay rates of the energies given by the energy method of the L2-frame

    Upper Decay Estimates for Non-Degenerate Kirchhoff Type Dissipative Wave Equations

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    We study on the Cauchy problem for non-degenerate Kirchhoff type dissipative wave equations Ļuā€²ā€² + a (||A1/2u(t)||2) Au + uā€² = 0 and (u(0), uā€²(0)) = (u0, u1), where u0 ā‰  0 and the nonlocal nonlinear term a(M) = 1+MĪ³ with Ī³ > 0. Under the suitably smallness condition, we derive the upper decay estimates of the solution u(t) for the case of 0 < Ī³ < 1 in addition to Ī³ ā‰„ 1

    Kirchhoff Type Dissipative Wave Equations in Unbounded Domains

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    Consider the Cauchy problem for the non-degenerate Kirchhoff type dissipative wave equations with the initial data belonging to H2(RN)ƗH1(RN) in unbounded domains. When the coefficient Ļ or the initial energy E(0) is small at least, we show the global existence theorem and derive decay estimates of energies in the L2-frame. Moreover, when the initial data belong to L1(RN)ƗL1(RN) in addition, we improve the decay rates of the solutions

    Lower Decay Estimates for Non-Degenerate Kirchhoff Type Dissipative Wave Equations

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    We consider the Cauchy problem for non-degenerate Kirchhoff type dissipative wave equations Ļuā€²ā€²+ a (āˆ„A1/2u(t)āˆ„2) Au + uā€² = 0 and (u(0), uā€²(0)) = (u0, u1), where u0 ā‰  0. We derive the lower decay estimate āˆ„u(t)āˆ„2 ā‰„ Ceāˆ’Ī²t for t ā‰„ 0 with Ī² > 0 for the solution u(t)

    Kirchhoff equations with strong damping

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    We consider Kirchhoff equations with strong damping, namely with a friction term which depends on a power of the ā€œelasticā€ operator. We address local and global existence of solutions in two different regimes depending on the exponent in the friction term. When the exponent is greater than 1/2, the dissipation prevails, and we obtain global existence in the energy space, assuming only degenerate hyperbolicity and continuity of the nonlinear term. When the exponent is less than 1/2, we assume strict hyperbolicity and we consider a phase space depending on the continuity modulus of the nonlinear term and on the exponent in the damping. In this phase space, we prove local existence and global existence if initial data are small enough. The regularity we assume both on initial data and on the nonlinear term is weaker than in the classical results for Kirchhoff equations with standard damping. Proofs exploit some recent sharp results for the linearized equation and suitably defined interpolation spaces

    Nonlinear Partial Differential Equations on Graphs

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    One-dimensional metric graphs in two and three-dimensional spaces play an important role in emerging areas of modern science such as nano-technology, quantum physics, and biological networks. The workshop focused on the analysis of nonlinear partial differential equations on metric graphs, especially on the bifurcation and stability of nonlinear waves on complex graphs, on the justification of Kirchhoff boundary conditions, on spectral properties and the validity of amplitude equations for periodic graphs, and the existence of ground states for the NLS equation with and without potential

    Innovative Approaches to the Numerical Approximation of PDEs

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    This workshop was about the numerical solution of PDEs for which classical approaches, such as the finite element method, are not well suited or need further (theoretical) underpinnings. A prominent example of PDEs for which classical methods are not well suited are PDEs posed in high space dimensions. New results on low rank tensor approximation for those problems were presented. Other presentations dealt with regularity of PDEs, the numerical solution of PDEs on surfaces, PDEs of fractional order, numerical solvers for PDEs that converge with exponential rates, and the application of deep neural networks for solving PDEs
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