The multiplicative ergodic theorem is stated in terms of matrix cocycles of a dynamical system. The theorem states conditions for the existence of the defining limits and describes the Lyapunov exponents. It does not address the rate of convergence. A cocycle of an autonomous dynamical system X is a map C : X×T → Rn×n satisfying where X and T are the phase space and the time range, respectively, of the dynamical system, and In is the n-dimensional unit matrix. The dimension n of the matrices C is not related to the phase space X.
Examples
A prominent example of a cocycle is given by the matrixJt in the theory of Lyapunov exponents. In this special case, the dimension n of the matrices is the same as the dimension of the manifold X.
For any cocycle C, the determinantdetC is a one-dimensional cocycle.
Statement of the theorem
Let μ be an ergodic invariant measure on X and C a cocycle of the dynamical system such that for each t ∈ T, the maps and are L1-integrable with respect toμ. Then for μ-almost all x and each non-zero vectoru ∈ Rn the limit exists and assumes, depending on u but not on x, up to n different values. These are the Lyapunov exponents. Further, if λ1 >... > λm are the different limits then there are subspaces Rn = R1 ⊃... ⊃ Rm ⊃ Rm+1 = such that the limit is λi for u ∈ Ri \ Ri+1 and i = 1, ..., m. The values of the Lyapunov exponents are invariant with respect to a wide range of coordinate transformations. Suppose that g : X → X is a one-to-one map such that and its inverse exist; then the values of the Lyapunov exponents do not change.
Verbally, ergodicity means that time and space averages are equal, formally: where the integrals and the limit exist. Space average is the accumulation of f values weighted by μ. Since addition is commutative, the accumulation of the fμ values may be done in arbitrary order. In contrast, the time average suggests a specific ordering of the f values along the trajectory. Since matrix multiplication is, in general, not commutative, accumulation of multiplied cocycle values according to C = C... C — for tk large and the steps ti − ti−1 small — makes sense only for a prescribed ordering. Thus, the time average may exist , but there is no space average counterpart. In other words, the Oseledets theorem differs from additive ergodic theorems in that it guarantees the existence of the time average, but makes no claim about the space average.