A Limit Theorem for the Solutions of Differential Equations with Random Right-Hand Sides
A Limit Theorem for the Solutions of Differential Equations with Random Right-Hand Sides
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DOI:
10.1137/1111038
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发表时间:
1966
影响因子:
0.6
通讯作者:
R. Khas'minskii
中科院分区:
文献类型:
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作者:
R. Khas'minskii
To T if the stochastic process F (x, t, co, 0) satisfies the law of large numbers for fixed x. From this result it followsparticularly that for (x) 0 the solution X ()(t, co) to problem (0.1) at a time of order O (1/e) will not have been displaced noticeably from the initial point with probability close to if e is small. More precisely, in thiscase the process X ()(et, co) converges to zero in probability as e-0. This fact suggests that a non-trivial limit distribution may result for the process X) at a still" slower" time 2t.RL Stratonovich in [2] first called attention to the need for such a kind of theorem when considering nordinear oscillation problems when noise is present. In [2] it is established on a physically rigorous level that when the process F (x, t, co,) is stationary, the function X (e)(82t) converges ina certain sense to a Markov diffusion process as e 0 and the local properties of the process are determined. In [3] an attempt at greater rigor is made but in proving the Markov character of the limit process the assumption that the function (1.36) cited there is continuous is not adequately justified. Some of the other assumptions made in [3 are also open to question; for example, the convergence of the series (1.29) of [3 is difficult to verify in actual cases.