By Ludwig Arnold

Because the predecessor to this quantity (LNM 1186, Eds. L. Arnold, V. Wihstutz)appeared in 1986, major development has been made within the concept and purposes of Lyapunov exponents - one of many key recommendations of dynamical platforms - and specifically, reported shifts in the direction of nonlinear and infinite-dimensional structures and engineering purposes are observable. This quantity opens with an introductory survey article (Arnold/Crauel) by way of 26 unique (fully refereed) examine papers, a few of that have partially survey personality. From the Contents: L. Arnold, H. Crauel: Random Dynamical Systems.- I.Ya. Goldscheid: Lyapunov exponents and asymptotic behaviour of the made from random matrices.- Y. Peres: Analytic dependence of Lyapunov exponents on transition probabilities.- O. Knill: the higher Lyapunov exponent of Sl (2, R) cocycles:Discontinuity and the matter of positivity.- Yu.D. Latushkin, A.M. Stepin: Linear skew-product flows and semigroups of weighted composition operators.- P. Baxendale: Invariant measures for nonlinear stochastic differential equations.- Y. Kifer: huge deviationsfor random increasing maps.- P. Thieullen: Generalisation du theoreme de Pesin pour l' -entropie.- S.T. Ariaratnam, W.-C. Xie: Lyapunov exponents in stochastic structural mechanics.- F. Colonius, W. Kliemann: Lyapunov exponents of keep an eye on flows.

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**Extra info for Lyapunov Exponents: Proceedings of a Conference held in Oberwolfach, May 28 – June 2, 1990**

**Sample text**

V~, (n) (11) 27 Let rq(n) be an orthogonal projector onto Fi(n). Then for any fixed ¢ > 0 there exists N(¢) such that for all n > N(e), arbitrary positive integer k and x E l)i(n) we have: II(~,+~+l(n + k) - ~÷~(n + k))~ll _< ~-(-,+r+l--,-,)-I1~11 (12) This estimate shows that the flags V(n) converge to the flag V as n --+ oo with an exponential speed: for sufficiently big n I1~ - ~(n)ll _< ~-(~"+'-'~'-')" II~ll (13) where ri is an orthogonal projector onto the component Fi of the flag ~2. We finish this section by pointing out the following essential moment: as we already said the estimates (12) and (13) rely on the fact that among Lyapunov exponents there are different ones.

I) Since we have assumed ergodicity of (~*)tET, Lyapunov exponents of linear systems do not depend on w. Clearly, the Lyapunov exponents of a linear system are independent of the norm on R d. For the remainder of the paper we will assume the integrability condition (I) for linear systems. Linearly induced RDS The general linear group Gl(d, R) acts in a canonical way on Graflmann manifolds: if G E Gl(d,]i) and K C ~a is a linear subspace, then (G, K ) is mapped to the subspace G(K); due to invertibility of G there is no loss of dimension.

Consider the linear RDS • over the enlarged probability space (Gr(k, d) x f l , B®~', #), where q is extended trivially, B denoting the Borel sets of Gr(k, d). This does not change the Lyapunov exponents of ¢. , q~(t,w)U(u,w) = U(Ot(u,w)) for all t E T and #-almost all (u,w), O, denotes the skew product flow induced by p, see (2)). The Lyapunov exponents All (q)) _> Aja(~) >_ ... _> ~j, ((I)) determined by # are the exponents of this invariant subbundle. In particular, f log l(Ak(I)(1, w))(Ul A .