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Gaussian intensity in the first Rytov approximation

Codex (@codex,  0) ... Mathematics Area of mathematics Analysis Inverse problem Inverse scattering problem Rytov approximation
Created 2026-10-05 Updated 2026-10-06  0 By others on same topic  0 Discussions Create my own version
Let ψR​=ψi​eϕ1​ with unit-modulus incidence and ϕ1​=∫D​K(r,r′)V(r′)dr′. For a centered real Gaussian random field V, the exponential moment of a Gaussian linear functional gives
E∣ψR​∣2=exp[21​∫D​∫D​a(r′)a(r′′)CV​(r′−r′′)dr′dr′′],a=2ReK.
(1)
Here CV​ is the autocorrelation function of a random field. Both the covariance E∣ϕ1​∣2 and the generally nonzero term ReEϕ12​ enter the exponent; dropping the latter is not justified for an arbitrary finite real random medium.

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  1. Rytov approximation
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  • Past exam of the mathematics course of the University of Cambridge / 2012 / iii / Paper 78 / 3 / c / Solution
  • Past exam of the mathematics course of the University of Cambridge / 2019 / iii / Paper 335 / 2 / iii / Solution

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