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A. Balakrishnan (1975)
Stochastic Bilinear Partial Differential Equations
G. Kallianpur, K. Kannan, R. L. Karandikar (1985)
Analytic and sequential Feynman integrals on abstract Wiener and Hilbert spaces and a Cameron-Martin formulaAnn. Inst. Henri Poincaré, 21
J. Strohbehn (1978)
Laser beam propagation in the atmosphere
A. Balakrishnan (1988)
A random Schroedinger equation: white noise modelDifferential and Integral Equations
K. Furutsu (1963)
On the statistical theory of electromagnetic waves in a fluctuating medium (I)Journal of Research of the National Bureau of Standards, Section D: Radio Propagation
Kiyosi Itô (1967)
Generalized uniform complex measures in the Hilbertian metric space with their application to the Feynman integral
R. Leland (1989)
Stochastic Models for Laser Propagation in Atmospheric Turbulence
A. V. Balakrishnan (1974)
Variable Structure Systems, Lecture Notes in Economics and Math. Systems 111
V. I. Tatarskii (1971)
The Effects of the Turbulent Atmosphere on Wave Propagation, translated by the Israel Program for Scientific Translations
D. Dawson, G. Papanicolaou (1984)
A random wave processApplied Mathematics and Optimization, 12
A. Balakrishnan (1974)
Stochastic optimization theory in Hilbert spaces—1Applied Mathematics and Optimization, 1
G. Kallianpur, D. Kannan, R. Karandikar (1985)
Analytic and sequential Feynman integrals on abstract Wiener and Hilbert spaces, and a Cameron-Martin formulaAnnales De L Institut Henri Poincare-probabilites Et Statistiques, 21
A. V. Balakrishnan (1980)
Applied Functional Analysis
M. Reed, B. Simon (1975)
Methods of Modern Mathematical Physics II, Fourier Analysis, Self-Adjointness
S. Albeverio, R. Høegh-Krohn (1976)
Mathematical theory of Feynman path integrals
We consider a stochastic bilinear system model for laser propagation in atmospheric turbulence. The model consists of a random Schrödinger equation in which the white noise input is multiplied by the state. We consider approximate product form solutions of the Trotter-Kato type, and use these product forms to relate the Hilbert space-valued white noise model and the Itô equation model. We also consider white noise as the limit of a sequence Ornstein-Uhlenbeck processes. Finally, we consider approximate solutions using the Feynman-Itô equation, and an approximate calculation of the mean field without using the Markov approximation.
Acta Applicandae Mathematicae – Springer Journals
Published: Dec 31, 2004
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