2019
DOI: 10.1007/s11118-019-09784-w
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Asymptotic Estimates for the p-Laplacian on Infinite Graphs with Decaying Initial Data

Abstract: We consider the Cauchy problem for the evolutive discrete p-Laplacian in infinite graphs, with initial data decaying at infinity. We prove optimal sup and gradient bounds for nonnegative solutions, when the initial data has finite mass, and also sharp evaluation for the confinement of mass, i.e., the effective speed of propagation. We provide estimates for some moments of the solution, defined using the distance from a given vertex.Our technique relies on suitable inequalities of Faber-Krahn type, and looks at… Show more

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(2 citation statements)
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“…In particular, we don't use here the cylindrical parabolic embedding, which may be restrictive, for example in a Riemannian setting or in some other problems. In addition, this approach allows us to prove the optimal finite speed of propagation for degenerate parabolic equations even for initial data measures (see e.g., the two-sided estimate ð3:21Þ), and it works also in graphs [15]. See also [49] for an approach to the Cauchy problem for doubly nonlinear equations, and [19] for the property of finite speed of propagation.…”
Section: Andreucci and Tedeevmentioning
confidence: 99%
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“…In particular, we don't use here the cylindrical parabolic embedding, which may be restrictive, for example in a Riemannian setting or in some other problems. In addition, this approach allows us to prove the optimal finite speed of propagation for degenerate parabolic equations even for initial data measures (see e.g., the two-sided estimate ð3:21Þ), and it works also in graphs [15]. See also [49] for an approach to the Cauchy problem for doubly nonlinear equations, and [19] for the property of finite speed of propagation.…”
Section: Andreucci and Tedeevmentioning
confidence: 99%
“…References for this section: [7], [8], [9], [10], [11], [13], [15], [16], [17], [19], [28], [33], [34], [35], [41], [43], [44], [45], [49], [51], [52], [53], [54], [58], [61], [66], [68], [70].…”
Section: Andreucci and Tedeevmentioning
confidence: 99%