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G. F. Us

Publications and source records attributed to G. F. Us.

2 recordsLinked to original sources

Analysis and geometry on $R_+$-marked configuration spaces

We carry out analysis and geometry on a marked configuration space $Ω_X^{R_+}$ over a Riemannian manifold $X$ with marks from the space $R_+$ as a natural generalization of the work {\bf [}{\it J. Func. Anal}. {\bf 154} (1998), 444--500{\bf ]}. As a transformation group $\mathfrak G$ on this space, we take the ``lifting'' to $Ω_X^{R_+}$ of the action on $X\times R_+$ of the semidirect product of the group Diff of diffeomorphisms on $X$ with compact support and the group $R_+^X$ of smooth currents, i.e., all $C^\infty$ mappings of $X$ into $R_+$ which are equal to one outside a compact set. The marked Poisson measure $π$ on $Ω_X^{R_+}$ with Lévy measure $σ$ is proven to be quasiinvariant under the action of $\mathfrak G$. Then, we derive a geometry on $Ω_X^{R_+}$ by a natural ``lifting'' of the corresponding geometry on $X\times R_+$. In particular, we construct a gradient $\nabla^Ω$ and divergence $div^Ω$. The associated volume elements, i.e., all probability measures $μ$ on $Ω_X^{R_+}$ with respect to which $\nabla^Ω$ and $div^Ω$ become dual operators on $L^2(Ω_X^{R_+} ,μ)$ are identified as the mixed Poisson measures with mean measure equal to a multiple of $σ$. As a direct consequence of our results, we obtain marked Poisson space representations of the group $\mathfrak G$ and its Lie algebra $\mathfrak g$. We investigate also Dirichlet forms and Dirichlet operators connected with (mixed) marked Poisson measures. In particular, we obtain conditions of ergodicity of the semigroups generated by the Dirichlet operators. A possible generalization of the results of the paper to the case where the marks belong to a homogeneous space of a Lie group is noted.

math.PR

Gamma Noise Analysis

We study an infinite dimensional analysis with respect to the measure on Schwartz space of tempered distributions, corresponding to the distributional derivative of gamma process. Laguerre polynomials being orthogonal with respect to gamma noise measure turn out to be generalized Appell ones. This fact enables to generalize the white noise functional approach on the stochastic Wick-Skorokhod equations involving gamma noise. E. g. we consider Werhulst type equation driven by gamma noise.

funct-an