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020 _a9788173192975
028 _a:Technical Bureau India Pvt. Ltd.
_b:E/261, Shastri Nagar Delhi
_c:TB5810
_d:25/03/2022
082 _a515.55 MUK
100 _aMukherjea, Arunava
245 _aTopics in Products of Random Matrices
_c/ Arunava Mukherjea
260 _aNew Delhi
_b : Narosa Pub. House : International distribution by American Mathematical Society,
_c ©2000.
300 _a121p
_b : illustrations
_c; 24 cm.
365 _b315
505 _a 1. Introduction -- 2. Convergence in Distribution: Products of Random Stochastic Matrices -- 3. Nature of the Limit Distribution -- 4. Convergence in Direction -- 5. Stochastic Flows on a Countable Set: Products of Infinite-dimensional Random Stochastic Matrices -- 6. Products of Random Infinite-dimensional Non-negative Matrices: The Equation [actual symbol not reproducible] -- 7. Probability Measures on 2 x 2 Stochastic Matrices and a Functional Equation -- 8. The Limit Distribution for Products of 2 x 2 Random Stochastic Matrices: A Specific Example -- Appendix: The Multivariate Central Limit Theorem: An Elementary Proof Using a Theorem of P. Chernoff.
520 _aThese lecture notes contain detailed results on convergence in distribution for products of independent and identically distributed random matrices and also for their normalised versions. Conditions for the limit distribution to be absolutely continuous or continuous singular are discussed and the limit distributions have also been computed for various specific examples. Infinite dimensional matrices are also considered, with reference to random motions of particles." "Semigroup methods have been highlighted throughout the notes. Care has been taken to make the presentation readily accessible to graduate students and beginners in research. Most of the results presented in the notes have not previously appeared in book form."--Jacket
650 _aMathematics
650 _aAnalysis
650 _aRandom matrices.
650 _aStochastische Matrix
650 _aFunctional Equations
700 _a Mukherjea, Arunava
942 _cMDL
999 _c58988
_d58988