02799nam 22005055 450 99646676990331620200702012029.03-319-52096-210.1007/978-3-319-52096-4(CKB)3710000001080149(DE-He213)978-3-319-52096-4(MiAaPQ)EBC6280875(MiAaPQ)EBC5576515(Au-PeEL)EBL5576515(OCoLC)1066194434(PPN)198868421(EXLCZ)99371000000108014920170227d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierRandom Obstacle Problems[electronic resource] École d'Été de Probabilités de Saint-Flour XLV - 2015 /by Lorenzo Zambotti1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (IX, 162 p. 20 illus., 2 illus. in color.) École d'Été de Probabilités de Saint-Flour,0721-5363 ;21813-319-52095-4 1 Introduction -- 2 The reflecting Brownian motion -- 3 Bessel processes -- 4 The stochastic heat equation -- 5 Obstacle problems -- 6 Integration by Parts Formulae -- 7 The contact set -- References.Studying the fine properties of solutions to Stochastic (Partial) Differential Equations with reflection at a boundary, this book begins with a discussion of classical one-dimensional diffusions as the reflecting Brownian motion, devoting a chapter to Bessel processes, and moves on to function-valued solutions to SPDEs. Inspired by the classical stochastic calculus for diffusions, which is unfortunately still unavailable in infinite dimensions, it uses integration by parts formulae on convex sets of paths in order to describe the behaviour of the solutions at the boundary and the contact set between the solution and the obstacle. The text may serve as an introduction to space-time white noise, SPDEs and monotone gradient systems. Numerous open research problems in both classical and new topics are proposed.École d'Été de Probabilités de Saint-Flour,0721-5363 ;2181ProbabilitiesProbability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Probabilities.Probability Theory and Stochastic Processes.519.2Zambotti Lorenzoauthttp://id.loc.gov/vocabulary/relators/aut739979MiAaPQMiAaPQMiAaPQBOOK996466769903316Random obstacle problems1466423UNISA