The zero divisor problem of multivariable stochastic adaptive control (Q1068048)

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scientific article; zbMATH DE number 3928861
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The zero divisor problem of multivariable stochastic adaptive control
scientific article; zbMATH DE number 3928861

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    The zero divisor problem of multivariable stochastic adaptive control (English)
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    1985
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    The main result of the paper is the following theorem: ''Let \(Q(x_ 1,...,x_ n)\) be a real-valued rational function of n real variables which is not constant. Let \(\{w_ 1,...,w_ n\}\) be n random variables which are jointly absolutely continuous (distributed) with respect to Lebesgue measure. Then \(Q(w_ 1,...,w_ n)\) is also absolutely continuous (distributed) with respect to Lebesgue measure.'' This result is obtained proving that \(\mu_ n(Q^{-1}(E))=0\) for every set \(E\subset R\) such that \(\mu_ 1(E)=0\), where \(\mu_ k\) represents the Lebesgue measure on \(R^ k\). This theorem is applied in the analysis of stochastic adaptive minimum variance control algorithms (the zero divisor problem) for linear discrete-time systems.
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    stochastic adaptive minimum variance control algorithms
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    linear discrete- time systems
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