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Transactions of the American Mathematical Society

Published by the American Mathematical Society since 1900, Transactions of the American Mathematical Society is devoted to longer research articles in all areas of pure and applied mathematics.

ISSN 1088-6850 (online) ISSN 0002-9947 (print)

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The Milne problem for the radiative transfer equations (with frequency dependence)
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by François Golse PDF
Trans. Amer. Math. Soc. 303 (1987), 125-143 Request permission

Abstract:

We study the following stationary frequency dependent transport equation: \[ \begin {array}{*{20}{c}} {\mu {\partial _x}f + \sigma (\nu , T)[f - {B_\nu }(T)] = 0,\qquad x > 0,\;\nu > 0,\;\mu \in ] - 1; 1[,} \\ {\iint _{{{\mathbf {R}}^ + } \times ] - 1; 1[} {\sigma (\nu , T)[{B_\nu }(T) - f] d\nu \frac {{d\mu }} {2} = 0,}} \\ {f(0, \mu , \nu ) = \varphi (\mu , \nu ),\qquad \nu > 0,\;u \in ]0; 1[,} \\ \end {array} \] where ${B_\nu }$ is the well-known Planck function appearing in astrophysics. We are able to describe the asymptotic behavior of $f$ and $T$ for $x$ large, when $\sigma (\nu , T)$ is of the special form $\sigma (\nu , T) = \sigma (\nu )k(T)$. Our method relies mainly on the monotonicity of the nonlinearity. The proof does not use any linearization of the equation; in particular, no smallness assumption on the data $\varphi$ (in any sense) is required. Résumé. Nous étudions l’équation de transport stationnaire avec dépendance en fréquence: \[ \begin {array}{*{20}{c}} {\mu {\partial _x}f + \sigma (\nu , T)[f - {B_\nu }(T)] = 0,\qquad x > 0,\;\nu > 0,\;\mu \in ] - 1; 1[,} \\ {\iint _{{{\mathbf {R}}^ + } \times ] - 1; 1[} {\sigma (\nu , T)[{B_\nu }(T) - f] d\nu \frac {{d\mu }} {2} = 0,}} \\ {f(0, \mu , \nu ) = \varphi (\mu , \nu );\qquad \nu > 0,\;\mu \in ]0; 1[.} \\ \end {array} \] Lorsque $\sigma (\nu , T)$ est de la forme particulière $\sigma (\nu , T) = \sigma (\nu )k(T)$, nous savons décrire le comportement asymptotique de $f$ et $T$ pour $x$ grand. Notre méthode repose principalement sur la monotonie de la non-linéarité. La preuve n’utilise aucune linéarisation de l’équation; en particulier, nous n’avons besoin d’aucune hypothèse de petitesse (d’aucune sorte) sur la donnée $\varphi$.
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Additional Information
  • © Copyright 1987 American Mathematical Society
  • Journal: Trans. Amer. Math. Soc. 303 (1987), 125-143
  • MSC: Primary 85A25; Secondary 35Q20
  • DOI: https://doi.org/10.1090/S0002-9947-1987-0896011-0
  • MathSciNet review: 896011