1993
DOI: 10.1090/qam/1205940
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The thermistor problem for conductivity which vanishes at large temperature

Abstract: Abstract. The thermistor problem is modeled as a coupled system of nonlinear elliptic equations. When the conductivity coefficient a(u) vanishes (u = temperature) one of the equations becomes degenerate; this situation is considered in the present paper. We establish the existence of a weak solution and, under some special Dirichlet and Neumann boundary conditions, analyze the structure of the set {a(u) = 0} and also prove uniqueness.

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Cited by 26 publications
(25 citation statements)
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“…Work related to this model can be found elsewhere [2,5,6,7,8,11]. Estimates of this type are very important since they answer to the question 'when' the blow up takes place [3,13].…”
Section: Introductionmentioning
confidence: 99%
“…Work related to this model can be found elsewhere [2,5,6,7,8,11]. Estimates of this type are very important since they answer to the question 'when' the blow up takes place [3,13].…”
Section: Introductionmentioning
confidence: 99%
“…The approach adopted here is different from that in [2,3]. Our assumptions on the data are much weaker.…”
Section: The Stationary Problemmentioning
confidence: 98%
“…In this paper we consider the case where a(s) is continuous and satisfies o(s) = 0 for s 2: a, a > 0 and 0 < a(s) <M for -oo < s < a, M > 0. (1.5) This situation arises in connection with the study of the combined processes of heat conduction and electrical conduction in a thermistor [2,3]. Then a is the critical temperature value.…”
Section: Introductionmentioning
confidence: 99%
“…The transition region for a given point between temperatures and , which corresponds to coordinates and , is typically small and a coupled treatment of electric and thermal fields is complex. It is quite common to ignore the transition and consider a sharp interface with a step behavior in [3], [4]. But it was noted [2], [5] that the step function is not the most realistic model for and that a more complex relationship should be used for accurate predictions.…”
Section: Introductionmentioning
confidence: 99%