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本文用随机分析方法讨论两参数Wiener过程的局部时与自交局部时。作为它们的应用,还证明了形式测度的存在性,并且得到了单参数和两参数Wiener过程的水平集的Hausdorff维数。  相似文献   
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In this paper we study the infinite dimensional Malliavin calculus, and apply it to determingwhen the solution of an infinite dimensional stochastic differential equation has the property thatits finite dimensional distributions possess smooth density.  相似文献   
3.
ANINTERSECTIONPROPERTYOFTHESIMPLERANDOMWALKSINZ ̄dZHOUXIANYIN(DepartmentofMathematics,BeijingNormalUniversity100875,China)Abst...  相似文献   
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In this paper, the Holder continuity of Westwater process X_t is concerned. More precisely,we show that there exists a random variable r_C∈(0,∞) for any C∈(3,∞) such that|X_s-X_t|≤C|(s-t)|~(1/2)|log|t-s||相似文献   
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1.IntroductionLetTNbetheinfinitetreewithN 1branchesemanatingfromeachvertex.Namely,TNisaninfiniteconnectedgraphwithnonon-trivialclosedloopsinwhicheverynodebelongstoexactlyN Iedges.SinceTIcanbethoughtofasaonedimensionallattice,whichhasbeenwellstudied,throug…  相似文献   
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Let v_T (g) be the polymer measure in two dimensions and {w (t)} its coordinate process. This paper presents the following estimations: For any given g>0 and a>0, there exist constants C_1, C_2 ∈ (0, ∞) such that  相似文献   
7.
Let X={X_i}_(t∈[0,1])be the Westwater process which is the coordinate process under3-dimensional polymer measure v(g)constructed by J.Westwater.In this paper,theHausdorff dimension problem for the double point set of X is investigated.As a result,it is proved thatdim D_2=1,v(g)-a.e.,where D_2={x∈R~3:X=X_(?)=x for some s相似文献   
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In this paper, we apply Malliavin calculus to discuss when the solutions of stochastic differen-tial equations (SDE's) with time-dependent coefficients have smooth density. Under Hormander'scondition,we conclude that the solutions of the SDE's have smooth density. As a consequence,we get the hypoellipticity for inhomogeneous differential operators.  相似文献   
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本文利用Malliavin随机变分来讨论一类带跳随机微分方程解的密度光滑性。在退化情形并且当跳部分为零时,所给的条件就是通常的H(?)rmander条件。  相似文献   
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Given g∈(0,∞), we prove thatfor some constant C∈(0,∞), where (g, T) is the polymer measure defined on C_0([0, T]→R~1), and {W(t)}t∈[0,T] is the corresponding coordinate process.  相似文献   
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