1993
DOI: 10.1017/s095679250000098x
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A selfsimilar solution to the focusing problem for the porous medium equation

Abstract: In the focusing problem we seek a solution to the porous medium equation whose initial distribution is in the exterior of some compact set (e.g. a ball). At a finite time T the gas will reach all points of the initially empty region R. We construct a selfsimilar solution of the radially symmetric focusing problem. This solution is an example of a selfsimilar solution of the second kind, i.e. one in which the similarity variable cannot be determined a priori from dimensional considerations. Our solution also sh… Show more

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Cited by 104 publications
(96 citation statements)
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“…In Aronson & Graveleau [6], equation (2.1 a) is transformed into a two-dimensional autonomous system and the AG profiles are identified as corresponding to a connection between a saddle and a saddle-node which is shown to exist for a unique β, which lies between 1 2 and 1. The analysis here is based on a different transformation which also leads to a two-dimensional quadratic autonomous system.…”
Section: The Ag Solution In the Phase Planementioning
confidence: 99%
See 3 more Smart Citations
“…In Aronson & Graveleau [6], equation (2.1 a) is transformed into a two-dimensional autonomous system and the AG profiles are identified as corresponding to a connection between a saddle and a saddle-node which is shown to exist for a unique β, which lies between 1 2 and 1. The analysis here is based on a different transformation which also leads to a two-dimensional quadratic autonomous system.…”
Section: The Ag Solution In the Phase Planementioning
confidence: 99%
“…We briefly recall the phase-plane analysis of the system (2.3) [17,19,6]. There are two finite critical points:…”
Section: The Ag Solution In the Phase Planementioning
confidence: 99%
See 2 more Smart Citations
“…To study this problem more precisely, Aronson et al (see [2,7]) constructed a interesting radially symmetric solution u(r, t) to the focusing problem for the equation of (1. …”
Section: ) C = O(t γ ) For Large T Andmentioning
confidence: 99%