Discrete stochastic semigroups and associated difference equations with random coefficients (Q2777833)
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scientific article; zbMATH DE number 1718879
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Discrete stochastic semigroups and associated difference equations with random coefficients |
scientific article; zbMATH DE number 1718879 |
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13 March 2002
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random matrix
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Lyapunov exponent
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Bernoulli scheme
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linear difference equation
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Discrete stochastic semigroups and associated difference equations with random coefficients (English)
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Let \(\{X_n\), \(n\geq 1\}\) be a sequence of \(2\times 2\) random matrices with terms from the field of complex numbers \(\mathbb C\) and let \(Y_n=X_nX_{n-1}\cdots X_2X_1\), \(n\geq 1,\) be a sequence of products provided the factors are independent and have the Bernoulli distribution: for every \(n>1\) we have \(P\{X_n=A\}=p\), \(P\{X_n=B\}=q\), \(p+q=l\), \(0<p<1,\) \(A\) and \(B\) are elements of the space \(L(\mathbb C^2)\). The asymptotic behavior of the sequence \(Y_n\) is characterized by the Lyapunov exponent NEWLINE\[NEWLINE\kappa=\lim_{n\to\infty}n^{-1}\ln\|Y_n\|= \lim_{n\to\infty}n^{-1}{\mathbf E}\ln\|Y_n\|\pmod P,NEWLINE\]NEWLINE where \(\|\cdot\|\) is an arbitrary norm in \(L(\mathbb C^2)\). The author shows that investigation of the asymptotic behavior of \(Y_n\) may be reduced to investigation of the asymptotic behavior of solutions of the corresponding difference equations with random coefficients.
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