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Applications Of Lie Algebras To Hyperbolic And Stochastic Differential Equations Mathematics And Its Applications Softcover Reprint Of The Original 1st Ed 1999 Constantin Vrsan

  • SKU: BELL-11305574
Applications Of Lie Algebras To Hyperbolic And Stochastic Differential Equations Mathematics And Its Applications Softcover Reprint Of The Original 1st Ed 1999 Constantin Vrsan
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Applications Of Lie Algebras To Hyperbolic And Stochastic Differential Equations Mathematics And Its Applications Softcover Reprint Of The Original 1st Ed 1999 Constantin Vrsan instant download after payment.

Publisher: Springer
File Extension: DJVU
File size: 1.42 MB
Pages: 243
Author: Constantin Vârsan
ISBN: 9789401059701, 9401059705
Language: English
Year: 2012
Edition: Softcover reprint of the original 1st ed. 1999

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Applications Of Lie Algebras To Hyperbolic And Stochastic Differential Equations Mathematics And Its Applications Softcover Reprint Of The Original 1st Ed 1999 Constantin Vrsan by Constantin Vârsan 9789401059701, 9401059705 instant download after payment.

The main part of the book is based on a one semester graduate course for students in mathematics. I have attempted to develop the theory of hyperbolic systems of differen­ tial equations in a systematic way, making as much use as possible ofgradient systems and their algebraic representation. However, despite the strong sim­ ilarities between the development of ideas here and that found in a Lie alge­ bras course this is not a book on Lie algebras. The order of presentation has been determined mainly by taking into account that algebraic representation and homomorphism correspondence with a full rank Lie algebra are the basic tools which require a detailed presentation. I am aware that the inclusion of the material on algebraic and homomorphism correspondence with a full rank Lie algebra is not standard in courses on the application of Lie algebras to hyperbolic equations. I think it should be. Moreover, the Lie algebraic structure plays an important role in integral representation for solutions of nonlinear control systems and stochastic differential equations yelding results that look quite different in their original setting. Finite-dimensional nonlin­ ear filters for stochastic differential equations and, say, decomposability of a nonlinear control system receive a common understanding in this framework.

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