High Level Occupation Times for Gaussian Stochastic Processes with Sample Paths in Orlicz Spaces
Canadian journal of mathematics, Tome 39 (1987) no. 1, pp. 239-256

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Let X be a complete separable metric space, and a family of probability measures on the Borel subsets of X. We say that obeys the large deviation principle (LDP) with a rate function I(·) if there exists a function I(·) from X into [0, ∞] satisfying: (i) 0 ≦ I(x) ≦ ∞ for all x ∊ X. (ii) I(·) is lower semicontinuous. (iii) For each l < ∞ the set {x:I(x) ≦ l} is a compact set in X. (iv) For each closed set C ⊂ X (v) For each open set C ⊂ X
Lawniczak, Anna T. High Level Occupation Times for Gaussian Stochastic Processes with Sample Paths in Orlicz Spaces. Canadian journal of mathematics, Tome 39 (1987) no. 1, pp. 239-256. doi: 10.4153/CJM-1987-011-6
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[1] 1. Byczkowski, T., Gaussian measures on Lp spaces, 0 &lt; p &lt; ∞, Studia Math. 59 (1977), 249–261. Google Scholar

[2] 2. Byczkowski, T., Norm convergent expansion for L-valued Gaussian random elements, Studia Math. 64(1979), 87–95. Google Scholar

[3] 3. Donsker, M.D. and Varadhan, S.R.S., Asymptotic evaluation of certain Markov processes expectations for large time — III, Comm. Pure Appl. Math. 29 (1976), 389–461. Google Scholar

[4] 4. Halmos, P.R., Measure theory, (New York, Springer-Verlag, 1974). Google Scholar

[5] 5. Hille, E. and Phillips, R., Functional analysis and semigroups, AMS Colloquium Publications, 31 (1975). Google Scholar

[6] 6. Kallianpur, G. and Oodaira, H., Freidlin-Wentzell type estimates for abstract Wiener spaces, Sankhyà 40, Series A (1978), 116–137. Google Scholar

[7] 7. Lawniczak, A.T., Gaussian measures on Orlicz spaces and abstract Wiener spaces, Lecture Notes in Mathematics 939 (Springer-Verlag, 1982), 81–97. Google Scholar

[8] 8. Lawniczak, A.T., Gaussian measures on Orlicz spaces, Stoch. Analysis and its Appl. 3 (1985). Google Scholar

[9] 9. Marlow, N., High level occupation times for continuous Gaussian processes, Ann. of Probab. 3 (1973), 388–397. Google Scholar

[10] 10. Rolewicz, S., Metric linear spaces, (Polish Scientific Publishers, PWN, 1972). Google Scholar

[11] 11. Strook, D.W., An introduction to the theory of large deviations, (Springer-Verlag, 1984). Google Scholar | DOI

[12] 12. Varadhan, S.R.S., Large deviations and applications, SIAM (1984). Google Scholar | DOI

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