English

Perturbation of parabolic equations with time-dependent linear operators: convergence of linear processes and solutions

Analysis of PDEs 2024-01-30 v1

Abstract

In this work we consider parabolic equations of the form (uε)t+Aε(t)uε=Fε(t,uε), (u_{\varepsilon})_t +A_{\varepsilon}(t)u_{{\varepsilon}} = F_{\varepsilon} (t,u_{{\varepsilon} }), where ε\varepsilon is a parameter in [0,ε0)[0,\varepsilon_0) and {Aε(t), tR}\{A_{\varepsilon}(t), \ t\in \mathbb{R}\} is a family of uniformly sectorial operators. As ε0+\varepsilon \rightarrow 0^{+}, we assume that the equation converges to ut+A0(t)u=F0(t,u). u_t +A_{0}(t)u_{} = F_{0} (t,u_{}). The time-dependence found on the linear operators Aε(t)A_{\varepsilon}(t) implies that linear process is the central object to obtain solutions via variation of constants formula. Under suitable conditions on the family Aε(t)A_{\varepsilon}(t) and on its convergence to A0(t)A_0(t) when ε0+\varepsilon \rightarrow 0^{+}, we obtain a Trotter-Kato type Approximation Theorem for the linear process Uε(t,τ)U_{\varepsilon}(t,\tau) associated to Aε(t)A_{\varepsilon}(t), estimating its convergence to the linear process U0(t,τ)U_0(t,\tau) associated to A0(t)A_0(t). Through the variation of constants formula and assuming that FεF_{\varepsilon} converges to F0F_0, we analyze how this linear process convergence is transferred to the solution of the semilinear equation. We illustrate the ideas in two examples. First a reaction-diffusion equation in a bounded smooth domain, obtaining convergence of the linear process and solution. As a consequence, we also obtain upper-semicontinuity of the family of pullback attractors associated to each problem. The second example is a nonautonomous strongly damped wave equation and we analyze convergence of solution as we perturb the fractional powers of the associated linear operator.

Keywords

Cite

@article{arxiv.2401.15799,
  title  = {Perturbation of parabolic equations with time-dependent linear operators: convergence of linear processes and solutions},
  author = {Maykel Belluzi},
  journal= {arXiv preprint arXiv:2401.15799},
  year   = {2024}
}