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Kallianpur, Gopinath; Mitoma, Itaru. A Segal-Langevin Type Stochastic Differential Equation on a Space Of Generalized Functionals. Canadian journal of mathematics, Tome 44 (1992) no. 3, pp. 524-552. doi: 10.4153/CJM-1992-034-8
@article{10_4153_CJM_1992_034_8,
author = {Kallianpur, Gopinath and Mitoma, Itaru},
title = {A {Segal-Langevin} {Type} {Stochastic} {Differential} {Equation} on a {Space} {Of} {Generalized} {Functionals}},
journal = {Canadian journal of mathematics},
pages = {524--552},
year = {1992},
volume = {44},
number = {3},
doi = {10.4153/CJM-1992-034-8},
url = {http://geodesic.mathdoc.fr/articles/10.4153/CJM-1992-034-8/}
}
TY - JOUR AU - Kallianpur, Gopinath AU - Mitoma, Itaru TI - A Segal-Langevin Type Stochastic Differential Equation on a Space Of Generalized Functionals JO - Canadian journal of mathematics PY - 1992 SP - 524 EP - 552 VL - 44 IS - 3 UR - http://geodesic.mathdoc.fr/articles/10.4153/CJM-1992-034-8/ DO - 10.4153/CJM-1992-034-8 ID - 10_4153_CJM_1992_034_8 ER -
%0 Journal Article %A Kallianpur, Gopinath %A Mitoma, Itaru %T A Segal-Langevin Type Stochastic Differential Equation on a Space Of Generalized Functionals %J Canadian journal of mathematics %D 1992 %P 524-552 %V 44 %N 3 %U http://geodesic.mathdoc.fr/articles/10.4153/CJM-1992-034-8/ %R 10.4153/CJM-1992-034-8 %F 10_4153_CJM_1992_034_8
[1] 1. Billingsley, P., Convergence of Probability Measures, Wiley, New York-London-Sydney-Toronto, 1968. Google Scholar
[2] 2. Bojdecki, T. and Gorostiza, L.G., Langevin equation for S′-valued Gaussian processes and fluctuation limits of infinite particle systems, Probab. Th. Rel. Fields 73 (1986), 227–244. Google Scholar
[3] 3. Courant, R. and Hilbert, D., Methods of Mathematical Physics 1, Interscience Publishers, Inc., New York, 1966. Google Scholar
[4] 4. Dawson, D.A., Critical dynamics and fluctuations for a mean-field model of cooperative behavior, J. Statist Phys. 31 (1983), 29–85. Google Scholar
[5] 5. Deuschel, J.D., Central limit theorem for an infinite lattice system of interacting diffusion processes, Ann. Probab. 16 (1988), 700–716. Google Scholar
[6] 6. Fouque, J.P., La convergence en loi pour les processus a valeurs dans un espace nucléaire, Ann. IHP 20 (1984), 225–245. Google Scholar
[7] 7. Gelfand, I.M. and Shilov, G.E., Generalized functions 2, Academic press, New York and London, 1964. Google Scholar
[8] 8. Gikhman, J.I. and Skorokhod, A.V., Stochastic Differential Equations, Springer, Berlin, 1972. Google Scholar
[9] 9. Hitsuda, M. and Mitoma, I., Tightness problem and stochastic evolution equation arising from fluctuation phenomenafor interacting diffusions, Multivariate, J. Anal. (1986), 311–328. Google Scholar
[10] 10. Holley, R. and Stroock, D.W., Central limit phenomena of various interacting systems, Ann. Math. 110 (1979), 333–393. Google Scholar
[11] 11. Itô, K., Infinite dimensional Ornstein-Uhlenbeck processes, Taniguchi Symp. SA, Katata, Kinokuniya, Tokyo, (1984), 197–224. Google Scholar
[12] 12. Kallianpur, G. and Wolpert, R., Infinite dimensional stochastic models for spatially distributed neurons, Appl. Math. Optim 12 (1984), 125–172. Google Scholar
[13] 13. Komatsu, H., Semi-groups of operators in locally convex spaces, J. Math. Soc. Japan, 16 (1964), 232–262. Google Scholar
[14] 14. Kunita, H., Stochastic differential equations and stochastic flows of diffeomorphisms, Lect. Notes in Math. 1097, Springer 1984. Google Scholar
[15] 15. Kuo, H.H., Gaussian measures on Banach spaces, Lect. Notes in Math. 463, Springer, Berlin, 1975. Google Scholar
[16] 16. Kuo, H.H., Stochastic integrals in abstract Wiener space II, regularity properties, Nagoya Math. J. 50 (1973), 89–116. Google Scholar
[17] 17. McKean, H.P., Propagation of chaos for a class of non-linear parabolic equations, Lecture series in Differential Equations 7, Catholic Univ. (1967), 41–57. Google Scholar
[18] 18. Minlos, R.A., Generalized random processes and their extension to a measure, Selected Transi. Math. Statist. Probab. 3 (1962), 291–313. Google Scholar
[19] 19. Mitoma, I., On the sample continuity of S'-processes, J. Math. Soc. Japan, (1983), 629–636. Google Scholar
[20] 20. Mitoma, I., Tightness of probabilities on C([0,1] ; S’) andD([0,1] ; S’), Ann. Probab. 11 (1983), 989–999. Google Scholar
[21] 21. Mitoma, I., An ∞-dimensional inhomogeneousLangevin's equation, J. Functional Analysis 61 (1985), 342–359. Google Scholar
[22] 22. Mitoma, I., Generalized Ornstein-Uhlenbeck process having a characteristic operator with polynomial coefficients, Probab. Th. Rel. Fields 76 (1987), 533–555. Google Scholar
[23] 23. Martias, C., Sur les support des processus a valeurs dans des espaces nucleairs, Ann. IHP 24 (1988), 345–365. Google Scholar
[24] 24. Segal, I., Non-linear functions of weak processes, J. Funct. Anal. 4 (1969), 404–457. Google Scholar
[25] 25. Shiga, T. and Tanaka, H., Central limit theorem for a system of Markovian particles with mean-field interactions, Z. Wahrsch. verw. Gebiete 69 (1985), 439–459. Google Scholar
[26] 26. Schaefer, H.H., Topological vector spaces, Springer, Berlin, 1972. Google Scholar
[27] 27. Totoki, H., A method of construction for measures on function spaces and its applications to stochastic processes,Mem. Fac. Sci. Kyushu Univ. Ser. A, Math. 15 (1962), 178–190. Google Scholar
[28] 28. Walsh, J., An introduction to stochastic partial differential equations, École d'été de Probabilités de Saint- Flour XIV, Lect. Notes in Math. 1180, Springer, Berlin, 1984. Google Scholar
[29] 29. Watanabe, S., Lectures on stochastic differential equations and Malliavin 's calculus, Springer, Berlin, 1984. Google Scholar
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