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Packing-type Measures of the Sample Paths of Fractional Brownian Motion
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作者 Zhen-longChen San-yangLiu Ci-wenXu 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2005年第2期335-352,共18页
Let Λ = {λ_k} be an infinite increasing sequence of positive integers withλ_k → ∞. Let X = {X(t), t ∈ R^N} be a multi-parameter fractional Brownian motion of index (0 【α 【 1) in R^d . Subject to certain hypot... Let Λ = {λ_k} be an infinite increasing sequence of positive integers withλ_k → ∞. Let X = {X(t), t ∈ R^N} be a multi-parameter fractional Brownian motion of index (0 【α 【 1) in R^d . Subject to certain hypotheses, we prove that if N 【 αd, then there exist positivefinite constants K_1 and K_2 such that, with unit probability, K_1 ≤ φ - p_Λ(X([0,1])~N) ≤ φ -p_Λ(G_rX([0,1])~N)) ≤ K_2 if and only if there exists γ 】 0 such that ∑ from k=1 to ∞ of1/λ_k~γ = ∞, where φ(s) = s^(N/α)(loglog 1/s)^(N/2(α)), φ - p_Λ(E) is the Packing-typemeasure of E,X([0, 1]) N is the image and G_rX([0, 1]~N ) = {(t,X(t)); t ∈ [0,1]~N} is the graph ofX, respectively. We also establish liminf type laws of the iterated logarithm for the sojournmeasure of X. 展开更多
关键词 Fractional Brownian motion packing-type measure image graph law ofiterated logarithm sojourn measure
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The exact Hausdorff measures for the graph and image of a multidimensional iterated Brownian motion
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作者 Rong-mao ZHANG Zheng-yan LIN 《Science China Mathematics》 SCIE 2007年第1期35-46,共12页
Let {W (t), t ∈ R}, {B(t), t ∈ R +} be two independent Brownian motions on R with W(0) = B(0) = 0. In this paper, we shall consider the exact Hausdorff measures for the image and graph sets of the d-dimensional iter... Let {W (t), t ∈ R}, {B(t), t ∈ R +} be two independent Brownian motions on R with W(0) = B(0) = 0. In this paper, we shall consider the exact Hausdorff measures for the image and graph sets of the d-dimensional iterated Brownian motion X(t), where X(t) = (X 1(t),…, X d (t)) and X 1(t),…, X d (t) are d independent copies of Y(t) = W(B(t)). In particular, for any Borel set Q ? (0, ∞), the exact Hausdorff measures of the image X(Q) = {X(t): t ∈ Q} and the graph GrX(Q) = {(t, X(t)): t ∈ Q} are established. 展开更多
关键词 GRAPH Hausdorff measure IMAGE iterated Brownian motion sojourn time 60F15 60G15 60G17
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分析一类非边界状态变体排队系统的新方法
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作者 余玅妙 唐应辉 《四川理工学院学报(自然科学版)》 CAS 2008年第2期12-17,共6页
文章应用一种新颖的分析方法,即不变概率测度方程差分化方法研究了一个具有典范GI//M 1型结构矩阵的一般到达离散时间早到排队系统,获得了该排队系统的稳态队长分布和顾客的稳态逗留时间分布,并且进一步给出了这些指标的随机分解及其PH... 文章应用一种新颖的分析方法,即不变概率测度方程差分化方法研究了一个具有典范GI//M 1型结构矩阵的一般到达离散时间早到排队系统,获得了该排队系统的稳态队长分布和顾客的稳态逗留时间分布,并且进一步给出了这些指标的随机分解及其PH结构。值得注意的是所使用的分析方法较现在普遍使用的矩阵几何解法更简洁明了。 展开更多
关键词 早到达排队系统 队长 逗留时间 不变概率测度方程差分化 随机分解 PH结构
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