On stationary stochastic flows and Palm probabilities of surface processes
Last, G. ; Schassberger, R.
Ann. Appl. Probab., Tome 10 (2000) no. 2, p. 463-492 / Harvested from Project Euclid
We consider a random surface $\Phi$ in $\mathbb{R}^d$ tessellating the space into cells and a random vector field $u$ which is smooth on each cell but may jump on $\Phi$. Assuming the pair $(\Phi, u)$ stationary we prove a relationship between the stationary probability measure $P$ and the Palm probability measure $P_{\Phi}$ of $P$ with respect to the random surface measure associated with $\Phi$. This result involves the flow of $u$ induced on the individual cells and generalizes a well-known inversion formula for stationary point processes on the line. An immediate consequence of this result is a formula for certain generalized contact distribution functions of $\Phi$, and as first application we prove a result on the spherical contact distribution in stochastic geometry. As another application we prove an invariance property for $P_{\Phi}$ which again generalizes a corresponding property in dimension $d = 1$. Under the assumption that the flow can be defined for all time points, we consider the point process $N$ of sucessive crossing times starting in the origin 0. If the flow is volume preserving, then $N$ is stationary and we express its Palm probability in terms of $P_{\Phi}$.
Publié le : 2000-05-14
Classification:  Random surface,  stochastic flow,  random set,  random field,  random measure,  Palm probability,  point process,  stochastic geometry,  60D05,  60G60
@article{1019487351,
     author = {Last, G. and Schassberger, R.},
     title = {On stationary stochastic flows and Palm probabilities of surface
		 processes},
     journal = {Ann. Appl. Probab.},
     volume = {10},
     number = {2},
     year = {2000},
     pages = { 463-492},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1019487351}
}
Last, G.; Schassberger, R. On stationary stochastic flows and Palm probabilities of surface
		 processes. Ann. Appl. Probab., Tome 10 (2000) no. 2, pp.  463-492. http://gdmltest.u-ga.fr/item/1019487351/