局部平方可积鞅Chung重对数律的下界

设Ｘ＝（Ｘｔ，ｔ≥０）为零初值的局部平方可积鞅〈Ｘ，Ｘ〉＝（〈Ｘ，Ｘ〉ｔ，ｔ≥０）为具可料二阶交差，在类似于Ｋｏｌｍｏｎｏｒｏｖ最初给出的条件下，证明了局部平方可积鞅的Ｃｈｕｎｇ重对数律的下界成立，即     

平方协变差和连续半鞅的推广Ito^公式

令X是连续半鞅，f是R上的局部可积函数。本文我们将证明，只要∫0tf(Xs)ds存在，那么平方协变差存在且等于-∫Rf(a)daLta,Lat是X的局部时。因此对具有导数f的绝对连续函数F，有推广的Ito^公式F（Xt)=F(X0) ∫0tf(Xs)dXs 1/2[f(X),X]t。     

局部平方可积鞅的Chug重对数律

设Ｘ＝（Ｘｔ，ｔ≥０）为局部平方可积鞅，且Ｘ０＝０〈Ｘ，Ｘ〉ｔ为其二阶可料变差。利用继续半鞅的强逼近结果，我们证明了在较弱的条件下，Ｘ的Ｃｈｕｎｇ重对数律成立，即ｐ（＾ｌｉｍｉｎｆ ｔ→∞ ＾ｓｕｐ│Ｘｓ│ ｏ≤ｓ≤ｔ／（〈ｘ，ｘ〉ｔ／ｌｏｇｌｏｇ〈Ｘ，Ｘ〉 ｔ）＾１／２＝π／根号８）＝１。     

Sierpinski gasket上Brown运动k重时的Hausdorff维数

设k≥2是正整数｛X（t），t≥0｝是SierpinskigasketG上的Brown运动，本文研究了｛X（t），t≥0｝k重时的Hausdorff维数，证明了：其中Mk＝｛（t1，t2…，tk）｝∈Rk：t1，t2，…，tk互不相同，使得X（t1）＝X（t2）＝…＝X（tk）｝，     

线性变换对带约束奇异线性模型的条件G—M估计的影响

考虑带约束奇异线性模型Y=Xβ＋ε，Lβ＝0，E（ε）＝0，cov（ε）＝σ~2V，其中V为非负定矩阵，X为任意秩．文章研究了观察向量Y的线性变换对回归系数条件可估函数Sβ的G－M估计的影响，并将条件可估子空间μ（X'L'）划分成Ω＋Ω_＋Ω_2.当μ（S'）Ω时，Sβ的条件G-M估计在模型变化后其优良性不变；当μ（S'）Ω_1时，模型变化后Sβ仍可估，但Sβ的条件G－M估计的方差要变大；当μ（S'）Ω_2时，Sβ不可估．     

平方协变差和连续半鞅的推广It公式(英文)

令X是连续半鞅 ,f是R上的局部可积函数 .本文我们将证明 ,只要∫t0 f(Xs)ds存在 ,那么平方协变差存在且等于 - ∫Rf(a)daLat,Lta是X的局部时 .因此对具有导数 f的绝对连续函数F ,有推广的It 公式F(Xt) =F(X0 ) + ∫t0 f(Xs)dXs+ 12 [f(X) ,X]t.     

一类半鞅的自然σ-域流

设X=(X_t)_t≥0为关于其自然σ-域流(J_t)_t≥0为半鞅。假设X具有弱可料表示性,即任一连续局部鞅可表为关于X的连续鞅部分的可料积分,任一纯断局部鞅可表为关于X的跳测度μ与其可料对偶投影v之差的可料积分。对于这类半鞅,利用它的局部可料特征,给出了其自然σ-域流为拟左连续、全连续与具有可料表示性的充要条件。     

集值上鞅可Doob分解的条件

假定(X,‖·‖)为实Banach空间,X*为其对偶空间,X*可分.给出了集值上鞅几种不同的Doob分解概念,利用支撑函数研究了集值上鞅在各种分解意义下可Doob分解的充分必要条件.     

集值逆下鞅的Doob分解

假定(X,‖·‖)为实Banach空间,X*为其对偶空间,X*可分.本文证明了实值逆(下)鞅Doob分解定理,在此基础上,利用支撑函数给出了集值逆下鞅可Doob分解的一个充分条件.     

人寿保险中随机Thiele微分方程的另一方法及应用

本文针对人寿保单被描述为时间非时齐的马氏链情形,较之文[7]更一般的假设条件下,给出了鞅M(t)=E[V0│Ft]的局部平方可积鞅的表示性,该方法不同于文[4]的方法。由此得到了随机Thiele微分方程,而且给出损失方差的一般表示。文章最后通过赔偿依赖于准备金的寡妇养老 金例子说明了随机Thiele微分方程的应用。     

一类连续半鞅型随机微分方程解的随机稳定性

本文利用Ｌｙａｐｕｎｏｖ函数方法，讨论了时齐Ｄｏｌｅａｎｓ－Ｄａｄｅｒ－Ｐｒｏｔｔｅｒ方程ｄＸ＿ｔ＝σ（Ｘ＿ｔ）ｄＭ＿ｔ＝ｂ（Ｘ＿ｔ）ｄＡ＿ｔ＋（（Ｍ＿ｔ）为连续局部平方可积鞅；（Ａ＿ｔ）为连续有限变差过程）平凡解的随机稳定性。本文建立了随机稳定性的判定定理并给出了相应的Ｌｙａｐｕｎｏｖ函数的一种具体形式。     

Stochastic integral with respect to set-valued square integrable martingales

In this paper, we shall firstly illustrate why we should consider integral of a stochastic process with respect to a set-valued square integrable martingale. Secondly, we shall prove the representation theorem of set-valued square integrable martingale. Thirdly, we shall give the definition of stochastic integral of a stochastic process with respect to a set-valued square integrable martingale and the representation theorem of this kind of integrals. Finally, we shall prove that the stochastic integral is a set-valued sub-martingale.     

Quadratic Covariation and Itô's Formula for Smooth Nondegenerate Martingales

In this paper we prove the existence of the quadratic covariation [f(X),X], where f is a locally square integrable function and X _t = ^t ₀ u _s dW _s is a smooth nondegenerate Brownian martingale. This result is based on some moment estimates for Riemann sums which are established by means of the techniques of the Malliavin calculus.     

Stochastic integration for operator valued processes on hilbert spaces and on nuclear spaces

The representation of a nuclear space valued square integrable martingale by means of another nuclear space valued square integrable martingale is given in terms of stochastic inegrals of operator valued processes. The construction of the stochastic integral goes through that of operator valued processes on Hilbert spaces. A new approach is given for the Hilbertian case, so that only the integration of Hilbert-Schmidt operator valued processes is needed to represent square integrable martingales     

Decomposition of a class of functionals

LetX(t) be a symmetric conservative Hunt process. In this paper, we decompose the functionalu(X(t), t) into a sum of a square integrable martingale and a regular 0-quadratic variation process. This paper is based on the author's dissertation, presented for the degree of Doctor of philosophy in Institute of Applied Mathematics, Academia Sinica under the supervision of Prof. Yan Jia-an.     

Square integrable martingales orthogonal to every stochastic integral

Examples of square integrable martingales adapted to processes with independent increments and orthogonal to all stochastic integrals are constructed. If every square integrable martingale adapted to a process with stationary independent increments is a stochastic integral it is shown that the process must be a Wiener process.     

Geometrische Bedingungen für die Integrabilität von Vektorfeldern auf Teilmengen des ℝn

We give a geometric characterisation for those vectorfields on a subset X ⁿ, wich are locally integrable, that is, which locally have sufficiently many integral curves on X. From this we deduce, that integrable spaces X (where each field of a fixed class of differentiability is locally integrable) are rigid under differentiable deformations in the sense of Kodaira-Kuranishi. We give a general construction for integrable spaces and obtain, that analytic varieties induce integrable spaces for each class of differentiability. Compact analytic varieties are therefore C-rigid, which extends [4], 3,1.     

平方协变差和连续半鞅的推广It（o）公式[英文]

令X是连续半鞅,f是R上的局部可积函数.本文我们将证明,只要∫otf(Xs)ds存在,那么平方协变差存在且等于-∫Rf(a)daLta,Lat是X的局部时.因此对具有导数f的绝对连续函数F,有推广的It6公式F(Xt)=F(X0)+∫ot f(Xs)dXs+1/2[f(X),X]t.     

On a Class of Generalized Integrands

Abstract

In the framework of the theory of stochastic integration with respect to a family of semimartingales depending on a continuous parameter, introduced by De Donno and Pratelli as a mathematical background to the theory of bond markets, we analyze a special class of integrands that preserve some nice properties of the finite-dimensional stochastic integral. In particular, we focus our attention on the class of processes considered by Mikulevicius and Rozovskii for the case of a locally square integrable cylindrical martingale and which includes an appropriate set of measure-valued processes.