title: An analytical construction of the SRB measures for Baker-type maps.
abstract: For a class of dynamical systems, called the axiom-A systems, Sinai, Ruelle and Bowen showed the existence of an invariant measure (SRB measure) weakly attracting the temporal average of any initial distribution that is absolutely continuous with respect to the Lebesgue measure. Recently, the SRB measures were found to be related to the nonequilibrium stationary state distribution functions for thermostated or open systems. Inspite of the importance of these SRB measures, it is difficult to handle them analytically because they are often singular functions. In this article, for three kinds of Baker-type maps, the SRB measures are analytically constructed with the aid of a functional equation, which was proposed by de Rham in order to deal with a class of singular functions. We first briefly review the properties of singular functions including those of de Rham. Then, the Baker-type maps are described, one of which is nonconservative but time reversible, the second has a Cantor-like invariant set, and the third is a model of a simple chemical reaction R<-->I<-->P. For the second example, the cases with and without escape are considered. For the last example, we consider the reaction processes in a closed system and in an open system under a flux boundary condition. In all cases, we show that the evolution equation of the distribution functions partially integrated over the unstable direction is very similar to de Rham's functional equation and, employing this analogy, we explicitly construct the SRB measures. (c) 1998 American Institute of Physics.
authors.affiliation: Department of Physics, Nara Women's University, Nara 630, Japan and Institute for Fundamental Chemistry, 34-4 Takano Nishihiraki-cho, Sakyo-ku, Kyoto 606, Japan.
authors.forename: S.
authors.initials: S
authors.lastname: Tasaki
authors.forename: Thomas
authors.initials: T
authors.lastname: Gilbert
authors.forename: J. R.
authors.initials: JR
authors.lastname: Dorfman