Abstract

Abstract When 2 ⁢ N / ( N + 1 ) < p < 2 {2N/(N+1)<p<2} and 0 < q < p / 2 {0<q<p/2} , non-negative solutions to the singular diffusion equation with gradient absorption ∂ t ⁡ u - Δ p ⁢ u + | ∇ ⁡ u | q = 0 in ⁢ ( 0 , ∞ ) × ℝ N \partial_{t}u-\Delta_{p}u+|\nabla u|^{q}=0\quad\text{in }(0,\infty)\times% \mathbb{R}^{N} vanish after a finite time. This phenomenon is usually referred to as finite-time extinction and takes place provided the initial condition u 0 {u_{0}} decays sufficiently rapidly as | x | → ∞ {|x|\to\infty} . On the one hand, the optimal decay of u 0 {u_{0}} at infinity guaranteeing the occurrence of finite-time extinction is identified. On the other hand, assuming further that p - 1 < q < p / 2 {p-1<q<p/2} , optimal extinction rates near the extinction time are derived.

Highlights

  • We study some properties related to the phenomenon of finite time extinction of nonnegative solutions to the initial value problem in RN for the singular diffusion equation with gradient absorption

  • An obvious consequence of Theorem 1.1 is the optimality of the tail behavior (1.8) for finite time extinction to occur

  • The technique of the proof is based on constructing suitable supersolutions with finite time extinction, on the one hand, and subsolutions which are positive everywhere, on the other hand

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Summary

Introduction

In the range of exponents (1.3), the phenomenon of extinction of the solution u in finite time occurs according to [8, Theorem 1.2(iii)] provided that the initial condition u0 decays sufficiently fast as |x| → ∞. An obvious consequence of Theorem 1.1 is the optimality of the tail behavior (1.8) for finite time extinction to occur. The second restriction is related to the range of the exponent q which is restricted to the smaller interval (p − 1, p/2) in Theorem 1.2 This assumption is seemingly only technical and some arguments in that direction are the following: on the one hand, for the critical case q = p − 1, the extinction rate (1.12) is already proved in [9] for radially symmetric initial data, though by a completely different technique.

Optimal tail for extinction
Notions of subsolution and supersolution
Construction of a viscosity supersolution
Optimal extinction rates
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