LARGE DEVIATIONS OF THE EMPIRICAL VOLUME FRACTION FOR STATIONARY POISSON GRAIN MODELS
LARGE DEVIATIONS OF THE EMPIRICAL VOLUME FRACTION FOR STATIONARY POISSON GRAIN MODELS
复制标题
静止泊松粒模型经验体积分数的大偏差
DOI:
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发表时间:
2005
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通讯作者:
L. Heinrich
中科院分区:
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作者:
L. Heinrich
We study the existence of the (thermodynamic) limit of the scaled cumulant-generating function L_n(z)=|W_n|^{-1}\logE\exp{z|\Xi\cap W_n|} of the empirical volume fraction |\Xi\cap W_n|/|W_n|, where |\cdot| denotes the d-dimensional Lebesgue measure. Here \Xi=\bigcup_{i\ge1}(\Xi_i+X_i) denotes a d-dimensional Poisson grain model (also known as a Boolean model) defined by a stationary Poisson process \Pi_{\lambda}=\sum_{i\ge1}\delta_{X_i} with intensity \lambda >0 and a sequence of independent copies \Xi_1,\Xi_2,... of a random compact set \Xi_0. For an increasing family of compact convex sets {W_n, n\ge1} which expand unboundedly in all directions, we prove the existence and analyticity of the limit lim_{n\to\infty}L_n(z) on some disk in the complex plane whenever E\exp{a|\Xi_0|} 0. Moreover, closely connected with this result, we obtain exponential inequalities and the exact asymptotics for the large deviation probabilities of the empirical volume fraction in the sense of Cram\'er and Chernoff.