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Effective Equation and Renormalization for a Nonlinear Wave Problem with a Random Source

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Random Media

Part of the book series: The IMA Volumes in Mathematics and Its Applications ((IMA,volume 7))

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Abstract

We shall explain how to derive the effective equation for the expected value of the solution of a given nonlinear random partial differential equation. Our method is a generalization of the classical smoothing for linear wave propagation in random media,[1], to nonlinear problems. We also show that the effective equation can be derived from a path integral formulation used by Parisi and Sourlas in the case of a random nonlinear Laplace equation,[2]. They represented the moment-generating functional of the solution as a functional integral over commuting and anticommuting fields. For many problems of physical interest, the meaning of the functional integral, and thus the meaning of the effective equation, is established by a limiting process which involves renormalization. As an illustration we analyze a nonlinear random wave equation, [3]. Our exposition here is based in our joint work, with S. Venakides, [3], where a more detailed analysis can be found.

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References

  • J.B. Keller. Wave propagation in random media. Procs. Sympos. in Appl. Math., vol. 13, pp. 227 – 246. AMS, Providence, R.I., 1962.

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  • L.L. Bonilla & S. Venalides. Effective equations and renormalization. In preparation, (1985).

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  • C. Itzykson & J.B. Zuber. Quantum Field Theory. MacGraw Hill, N.Y., 1980.

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  • N.N. Bogoliubov & D.V. Shirkov. Introduction to the Theory of Quantized Fields. 3rd. edition. Wiley, N.Y., 1980.

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© 1987 Springer-Verlag New York, Inc.

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Bonilla, L.L. (1987). Effective Equation and Renormalization for a Nonlinear Wave Problem with a Random Source. In: Papanicolaou, G. (eds) Random Media. The IMA Volumes in Mathematics and Its Applications, vol 7. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8725-1_2

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  • DOI: https://doi.org/10.1007/978-1-4613-8725-1_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-8727-5

  • Online ISBN: 978-1-4613-8725-1

  • eBook Packages: Springer Book Archive

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