Abstract
Let ue(x, t) denote the weak solution to a parabolic PDE whose inputs and coefficients are wide bandwidth stochastic processes, and the bandwidth goes to as e-->0. Under known conditions, ue(•,•) converges weakly to a certain parabolic PDE driven by a (finite dimensional or cylindrical) Wiener process. A key problem in applications concerns the behavior of ue(x, t) for large time and small e . This is, perhaps, the main stability problem for such stochastic PDEs. We show (under appropriate conditions) that the tail of ue is (in the sense of distributions) close to a stationary solution of the limit (Wiener process driven) system, for small e. The methods are purely probabilistic, and depend on interpretations of the solutions ue(•,•) as functionals of certain diffusions with wide bandwidth coefficients. No PDE methods are used.
†This research was supported in part by NSF under grant No. ESC-82-11476, by AFOSR under grant AF-AFOSR-81-0116-C and by ONR under grant No. N00014-83-K-0542
‡This research was supported in part by ARO under grant No. DAAG-29-84-K-0082.
†This research was supported in part by NSF under grant No. ESC-82-11476, by AFOSR under grant AF-AFOSR-81-0116-C and by ONR under grant No. N00014-83-K-0542
‡This research was supported in part by ARO under grant No. DAAG-29-84-K-0082.
Notes
†This research was supported in part by NSF under grant No. ESC-82-11476, by AFOSR under grant AF-AFOSR-81-0116-C and by ONR under grant No. N00014-83-K-0542
‡This research was supported in part by ARO under grant No. DAAG-29-84-K-0082.