Minor Shelf wear ONLY. ; Seminar on Stochastic Processes, 1989 (Progress in Probability, Vol. 18) is a collection of lectures and papers that cover cutting-edge developments in stochastic processes. Topics include stochastic calculus, martingales, and applications in finance and biology. The volume is essential for researchers and students in probability theory, providing valuable insights into both theory and real-world applications.; 15.5 X 23 X 1.6cm; 224 pages. Codice articolo LCB62258

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Titolo: Seminar on Stochastic Processes, 1989-...

Casa editrice: Birkh�user, Boston

Data di pubblicazione: 1990

Legatura: Hardcover

Condizione: Near Fine

Condizione sovraccoperta: No Dust Jacket

Edizione: First Edition; First Impression.

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Riassunto:

C. T. Shih R. Carmona F. Knight A. Sznitman W. Chen-Masters Y. Kwon M. Taksar K. L. Chung T. Kurtz L. Taylor E. Cinlar T. Liggett S. J. Taylor M. Cranston T. Lyons G. Terdik R. Dalang P. March E. Toby R. DanteDeBlassie M. Marcus R. Tribe R. Darling P. McGill J. Walsh D. Dawson T. Mountford J. Watkins J. Deuschel B. Oksendal S. Weinryb N. Dinculeanu V. Papanicolaou R. Williams R. Durrett R. Pemantle Z. Zhao E. B. Dynkin M. Penrose W. Zheng TABLEOFCONTENTS R. F. BASS Aprobabilisticproofoftheboundary 1 and K. BURDZY Harnackprinciple J. -D. DEUSCHEL LogarithmicSobolevinequalitiesof 17 symmetricdiffusions S. N. EVANS RescalingthevacancyofaBoolean coverageprocess 23 TheBlumenthal-Getoor-McKean P. J. FITZSIMMONS, R. K. GETOOR Theoremrevisited 35 andM. J. SHARPE P. J. FITZSIMMONS Localtimes,occupationtimes,andthe Lebesguemeasureoftherangeofa andS. C.

Contenuti:

A probabilistic proof of the boundary Harnack principle.- Logarithmic Sobolev inequalities of symmetric diffusions.- Rescaling the vacancy of a Boolean coverage process.- The Blumenthal-Getoor-McKean Theorem revisited.- Local times, occupation times, and the Lebesgue measure of the range of a Levy process.- Martingale problems associated with the Boltzmann equation.- Probabilistic methods in differential geometry.- Probabilistic methods in Schr�dinger equations.- Stochastic variational principle of Schr�dinger processes.- The high contact principle in optimal stopping and stochastic waves.- Continuity of solutions of Schr�dinger equation.- Stationary solutions for bilinear systems with constant coefficients.- Gaugeability for unbounded domains.- Correction to: Some formulas for the energy functional of a Markov process.

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