2018
DOI: 10.1007/s40863-018-00115-2
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A Lyapunov function for fully nonlinear parabolic equations in one spatial variable

Abstract: Lyapunov functions are used in order to prove stability of equilibria, or to indicate a gradient-like structure of a dynamical system. Zelenyak (1968) and Matano (1988) constructed a Lyapunov function for quasilinear parabolic equations. We modify Matano's method to construct a Lyapunov function for fully nonlinear parabolic equations under Dirichlet and mixed nonlinear boundary conditions of Robin type.

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Cited by 14 publications
(12 citation statements)
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“…We firstly introduce the functional setting in Section 2.1, and construct a Lyapunov functional for the singular case by modifying Matano's arguments from [27], and its generalization for fully nonlinear equations [24]. In particular this implies that the attractor consists of equilibria and heteroclinics.…”
Section: Resultsmentioning
confidence: 99%
“…We firstly introduce the functional setting in Section 2.1, and construct a Lyapunov functional for the singular case by modifying Matano's arguments from [27], and its generalization for fully nonlinear equations [24]. In particular this implies that the attractor consists of equilibria and heteroclinics.…”
Section: Resultsmentioning
confidence: 99%
“…To construct a Lyapunov function E as in (1.4), we rewrite the fully nonlinear parabolic equation (1.1) suitably, following the spirit of [19]. Then we continue with a modification of Matano's original idea for non-degenerate quasilinear equations in order to incorporate degeneracies.…”
Section: Resultsmentioning
confidence: 99%
“…See also [10] for concise expositions of Matano's method. This method was extended to fully nonlinear non-degenerate parabolic equations, when f q • f r < 0, in [19]. An analogous method for Jacobi systems, a spatially discrete variant, was developed in [11].…”
Section: Resultsmentioning
confidence: 99%
“…It is known that (1.1) possesses a Lyapunov function, alias a variational or gradientlike structure, under separated boundary conditions; see [Ze68,Ma78,MaNa97,Hu11,Fietal14,LaFi18]. In particular, the global attractor consists of equilibria and of solutions u(t, ·), t ∈ R, with forward and backward limits, i.e.…”
Section: Introductionmentioning
confidence: 99%