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mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, the multiplicative ergodic theorem, or Oseledets theorem provides the theoretical background for computation of
Lyapunov exponent In mathematics, the Lyapunov exponent or Lyapunov characteristic exponent of a dynamical system is a quantity that characterizes the rate of separation of infinitesimally close trajectories. Quantitatively, two trajectories in phase space with ini ...
s of a
nonlinear In mathematics and science, a nonlinear system is a system in which the change of the output is not proportional to the change of the input. Nonlinear problems are of interest to engineers, biologists, physicists, mathematicians, and many other ...
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. Examples include the mathematical models that describe the swinging of a ...
. It was proved by
Valery Oseledets The French name Valery () is a male given name or surname of Germanic origin ''Walaric'' (see Walric of Leuconay), that has often been confused in modern times with the Latin name '' Valerius''—that explains the variant spelling Valéry (). The ...
(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 (Greek: ' "work", ' "way") is a branch of mathematics that studies statistical properties of deterministic dynamical systems; it is the study of ergodicity. In this context, statistical properties means properties which are expres ...
was found by
M. S. Raghunathan Madabusi Santanam Raghunathan FRS is an Indian mathematician. He is currently Head of the National Centre for Mathematics, Indian Institute of Technology, Mumbai. Formerly Professor of eminence at TIFR in Homi Bhabha Chair. Raghunathan receiv ...
. The theorem has been extended to
semisimple Lie group In mathematics, a Lie algebra is semisimple if it is a direct sum of modules, direct sum of simple Lie algebras. (A simple Lie algebra is a non-abelian Lie algebra without any non-zero proper Lie algebra#Subalgebras.2C ideals and homomorphisms, i ...
s by V. A. Kaimanovich and further generalized in the works of
David Ruelle David Pierre Ruelle (; born 20 August 1935) is a Belgian mathematical physicist, naturalized French. He has worked on statistical physics and dynamical systems. With Floris Takens, Ruelle coined the term '' strange attractor'', and developed a ...
,
Grigory Margulis Grigory Aleksandrovich Margulis (russian: Григо́рий Алекса́ндрович Маргу́лис, first name often given as Gregory, Grigori or Gregori; born February 24, 1946) is a Russian-American mathematician known for his work on ...
, 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 value that is a function of the entries of a square matrix. It characterizes some properties of the matrix and the linear map represented by the matrix. In particular, the determinant is nonzero if and ...
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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Ergodic theory Theorems in dynamical systems