Oseledets Theorem
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mathematics Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, the multiplicative ergodic theorem, or Oseledets theorem provides the theoretical background for computation of Lyapunov exponents of a nonlinear
dynamical system In mathematics, a dynamical system is a system in which a Function (mathematics), function describes the time dependence of a Point (geometry), point in an ambient space, such as in a parametric curve. Examples include the mathematical models ...
. It was proved by Valery Oseledets (also spelled "Oseledec") in 1965 and reported at the International Mathematical Congress in Moscow in 1966. A conceptually different proof of the multiplicative
ergodic theorem Ergodic theory is a branch of mathematics that studies statistical properties of deterministic dynamical systems; it is the study of ergodicity. In this context, "statistical properties" refers to properties which are expressed through the behav ...
was found by M. S. Raghunathan. The theorem has been extended to
semisimple Lie group In mathematics, a simple Lie group is a connected space, connected nonabelian group, non-abelian Lie group ''G'' which does not have nontrivial connected normal subgroups. The list of simple Lie groups can be used to read off the list of simple ...
s by V. A. Kaimanovich and further generalized in the works of
David Ruelle David Pierre Ruelle (; born 20 August 1935) is a Belgian and naturalized French mathematical physicist. He has worked on statistical physics and dynamical systems. With Floris Takens, Ruelle coined the term ''strange attractor'', and devel ...
,
Grigory Margulis Grigory Aleksandrovich Margulis (, first name often given as Gregory, Grigori or Gregori; born February 24, 1946) is a Russian-American mathematician known for his work on lattices in Lie groups, and the introduction of methods from ergodic the ...
, Anders Karlsson, and François Ledrappier.


Cocycles

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'' → R''n×n'' satisfying :C(x,0)=I_n x\in X :C(x,t+s)=C(x(t),s)\,C(x,t) x\in X t,s\in T where ''X'' and ''T'' (with ''T'' = Z⁺ or ''T'' = R⁺) are the phase space and the time range, respectively, of the dynamical system, and ''I''''n'' 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 matrix ''J''''t'' 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
determinant In mathematics, the determinant is a Scalar (mathematics), scalar-valued function (mathematics), function of the entries of a square matrix. The determinant of a matrix is commonly denoted , , or . Its value characterizes some properties of the ...
det ''C''(''x'', ''t'') 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 x \rightarrow \log\, C(x,t)\, and x \rightarrow \log\, C(x,t)^\, are ''L''1-integrable with respect to ''μ''. Then for ''μ''-almost all ''x'' and each non-zero vector ''u'' ∈ R''n'' the limit :\lambda=\lim_ \log exists and assumes, depending on ''u'' but not on ''x'', up to ''n'' different values. These are the Lyapunov exponents. Further, if ''λ''1 > ... > ''λ''''m'' are the different limits then there are subspaces R''n'' = ''R''1 ⊃ ... ⊃ ''R''''m'' ⊃ ''R''''m''+1 = , depending on ''x'', such that the limit is ''λ''''i'' for ''u'' ∈ ''R''''i'' \ ''R''''i''+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 \partial g/\partial x and its inverse exist; then the values of the Lyapunov exponents do not change.


Additive versus multiplicative ergodic theorems

Verbally, ergodicity means that time and space averages are equal, formally: :\lim_ \int_0^t f(x(s))\,ds = \int_X f(x)\,\mu(dx) where the integrals and the limit exist. Space average (right hand side, μ is an ergodic measure on ''X'') is the accumulation of ''f''(''x'') values weighted by μ(''dx''). Since addition is commutative, the accumulation of the ''f''(''x'')μ(''dx'') values may be done in arbitrary order. In contrast, the time average (left hand side) suggests a specific ordering of the ''f''(''x''(''s'')) values along the trajectory. Since matrix multiplication is, in general, not commutative, accumulation of multiplied cocycle values (and limits thereof) according to ''C''(''x''(''t''0),''t''''k'') = ''C''(''x''(''t''''k''−1),''t''''k'' − ''t''''k''−1) ... ''C''(''x''(''t''0),''t''1 − ''t''0) — for ''t''''k'' large and the steps ''t''''i'' − ''t''''i''−1 small — makes sense only for a prescribed ordering. Thus, the time average may exist (and the theorem states that it actually exists), but there is no space average counterpart. In other words, the Oseledets theorem differs from additive ergodic theorems (such as G. D. Birkhoff's and J. von Neumann's) in that it guarantees the existence of the time average, but makes no claim about the space average.


References

* *{{cite journal , first=D. , last=Ruelle , title=Ergodic theory of differentiable dynamic systems , journal=IHES Publ. Math. , volume=50 , issue=1 , year=1979 , pages=27–58 , doi=10.1007/BF02684768 , s2cid=56389695 , url=http://www.numdam.org/article/PMIHES_1979__50__27_0.pdf


External links

* V. I. Oseledets
''Oseledets theorem''
at
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