000 | 03308nam a22005175i 4500 | ||
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001 | u372235 | ||
003 | SIRSI | ||
005 | 20160812084048.0 | ||
007 | cr nn 008mamaa | ||
008 | 110406s2011 xxu| s |||| 0|eng d | ||
020 |
_a9781441994769 _9978-1-4419-9476-9 |
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040 | _cMX-MeUAM | ||
050 | 4 | _aQA372 | |
082 | 0 | 4 |
_a515.352 _223 |
100 | 1 |
_aBezandry, Paul H. _eauthor. |
|
245 | 1 | 0 |
_aAlmost Periodic Stochastic Processes _h[recurso electrónico] / _cby Paul H. Bezandry, Toka Diagana. |
264 | 1 |
_aNew York, NY : _bSpringer New York, _c2011. |
|
300 |
_aXV, 235 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
520 | _aAlmost Periodic Stochastic Processes is among the few published books that is entirely devoted to almost periodic stochastic processes and their applications. The topics treated range from existence, uniqueness, boundedness, and stability of solutions, to stochastic difference and differential equations. Motivated by the studies of the natural fluctuations in nature, this work aims to lay the foundations for a theory on almost periodic stochastic processes and their applications. This book is divided in to eight chapters and offers useful bibliographical notes at the end of each chapter. Highlights of this monograph include the introduction of the concept of p-th mean almost periodicity for stochastic processes and applications to various equations. The book offers some original results on the boundedness, stability, and existence of p-th mean almost periodic solutions to (non)autonomous first and/or second order stochastic differential equations, stochastic partial differential equations, stochastic functional differential equations with delay, and stochastic difference equations. Various illustrative examples are also discussed throughout the book. The results provided in the book will be of particular use to those conducting research in the field of stochastic processing including engineers, economists, and statisticians with backgrounds in functional analysis and stochastic analysis. Advanced graduate students with backgrounds in real analysis, measure theory, and basic probability, may also find the material in this book quite useful and engaging. | ||
650 | 0 | _aMathematics. | |
650 | 0 | _aFunctional analysis. | |
650 | 0 | _aIntegral equations. | |
650 | 0 | _aOperator theory. | |
650 | 0 | _aDifferential Equations. | |
650 | 0 | _aDifferential equations, partial. | |
650 | 0 | _aDistribution (Probability theory). | |
650 | 1 | 4 | _aMathematics. |
650 | 2 | 4 | _aOrdinary Differential Equations. |
650 | 2 | 4 | _aProbability Theory and Stochastic Processes. |
650 | 2 | 4 | _aPartial Differential Equations. |
650 | 2 | 4 | _aFunctional Analysis. |
650 | 2 | 4 | _aOperator Theory. |
650 | 2 | 4 | _aIntegral Equations. |
700 | 1 |
_aDiagana, Toka. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781441994752 |
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-9476-9 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c200115 _d200115 |