TY - JOUR A1 - Mazzonetto, Sara T1 - On an approximation of 2-D stochastic Navier-Stokes equations JF - Lectures in pure and applied mathematics KW - random point processes KW - statistical mechanics KW - stochastic analysis Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-472053 SN - 978-3-86956-485-2 SN - 2199-4951 SN - 2199-496X IS - 6 SP - 87 EP - 96 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Dereudre, David A1 - Mazzonetto, Sara A1 - Roelly, Sylvie T1 - Exact simulation of Brownian diffusions with drift admitting jumps JF - SIAM journal on scientific computing N2 - In this paper, using an algorithm based on the retrospective rejection sampling scheme introduced in [A. Beskos, O. Papaspiliopoulos, and G. O. Roberts,Methodol. Comput. Appl. Probab., 10 (2008), pp. 85-104] and [P. Etore and M. Martinez, ESAIM Probab.Stat., 18 (2014), pp. 686-702], we propose an exact simulation of a Brownian di ff usion whose drift admits several jumps. We treat explicitly and extensively the case of two jumps, providing numerical simulations. Our main contribution is to manage the technical di ffi culty due to the presence of t w o jumps thanks to a new explicit expression of the transition density of the skew Brownian motion with two semipermeable barriers and a constant drift. KW - exact simulation methods KW - skew Brownian motion KW - skew diffusions KW - Brownian motion with discontinuous drift Y1 - 2017 U6 - https://doi.org/10.1137/16M107699X SN - 1064-8275 SN - 1095-7197 VL - 39 IS - 3 SP - A711 EP - A740 PB - Society for Industrial and Applied Mathematics CY - Philadelphia ER - TY - JOUR A1 - Mazzonetto, Sara A1 - Salimova, Diyora T1 - Existence, uniqueness, and numerical approximations for stochastic burgers equations JF - Stochastic analysis and applications N2 - In this article, we propose an all-in-one statement which includes existence, uniqueness, regularity, and numerical approximations of mild solutions for a class of stochastic partial differential equations (SPDEs) with non-globally monotone nonlinearities. The proof of this result exploits the properties of an existing fully explicit space-time discrete approximation scheme, in particular the fact that it satisfies suitable a priori estimates. We also obtain almost sure and strong convergence of the approximation scheme to the mild solutions of the considered SPDEs. We conclude by applying the main result of the article to the stochastic Burgers equations with additive space-time white noise. KW - Stochastic Burgers equations KW - SPDEs KW - mild solution KW - existence KW - numerical KW - approximation Y1 - 2020 U6 - https://doi.org/10.1080/07362994.2019.1709503 SN - 0736-2994 SN - 1532-9356 VL - 38 IS - 4 SP - 623 EP - 646 PB - Taylor & Francis Group CY - Philadelphia ER - TY - INPR A1 - Dereudre, David A1 - Mazzonetto, Sara A1 - Roelly, Sylvie T1 - Exact simulation of Brownian diffusions with drift admitting jumps N2 - Using an algorithm based on a retrospective rejection sampling scheme, we propose an exact simulation of a Brownian diffusion whose drift admits several jumps. We treat explicitly and extensively the case of two jumps, providing numerical simulations. Our main contribution is to manage the technical difficulty due to the presence of two jumps thanks to a new explicit expression of the transition density of the skew Brownian motion with two semipermeable barriers and a constant drift. T3 - Preprints des Instituts für Mathematik der Universität Potsdam - 5 (2016) 7 KW - exact simulation method KW - skew Brownian motion KW - skew diffusion KW - Brownian motion with discontinuous drift Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-91049 SN - 2193-6943 VL - 5 IS - 7 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - INPR A1 - Dereudre, David A1 - Mazzonetto, Sara A1 - Roelly, Sylvie T1 - An explicit representation of the transition densities of the skew Brownian motion with drift and two semipermeable barriers N2 - In this paper we obtain an explicit representation of the transition density of the one-dimensional skew Brownian motion with (a constant drift and) two semipermeable barriers. Moreover we propose a rejection method to simulate this density in an exact way. T3 - Preprints des Instituts für Mathematik der Universität Potsdam - 4 (2015) 9 KW - skew Brownian motion KW - semipermeable barriers KW - distorted Brownian motion KW - local time KW - rejection sampling KW - exact simulation Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-80613 SN - 2193-6943 VL - 4 IS - 9 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - THES A1 - Mazzonetto, Sara T1 - On the exact simulation of (skew) Brownian diffusions with discontinuous drift T1 - Über die exakte Simulation (skew) Brownsche Diffusionen mit unstetiger Drift T1 - Simulation exacte de diffusions browniennes (biaisées) avec dérive discontinue N2 - This thesis is focused on the study and the exact simulation of two classes of real-valued Brownian diffusions: multi-skew Brownian motions with constant drift and Brownian diffusions whose drift admits a finite number of jumps. The skew Brownian motion was introduced in the sixties by Itô and McKean, who constructed it from the reflected Brownian motion, flipping its excursions from the origin with a given probability. Such a process behaves as the original one except at the point 0, which plays the role of a semipermeable barrier. More generally, a skew diffusion with several semipermeable barriers, called multi-skew diffusion, is a diffusion everywhere except when it reaches one of the barriers, where it is partially reflected with a probability depending on that particular barrier. Clearly, a multi-skew diffusion can be characterized either as solution of a stochastic differential equation involving weighted local times (these terms providing the semi-permeability) or by its infinitesimal generator as Markov process. In this thesis we first obtain a contour integral representation for the transition semigroup of the multiskew Brownian motion with constant drift, based on a fine analysis of its complex properties. Thanks to this representation we write explicitly the transition densities of the two-skew Brownian motion with constant drift as an infinite series involving, in particular, Gaussian functions and their tails. Then we propose a new useful application of a generalization of the known rejection sampling method. Recall that this basic algorithm allows to sample from a density as soon as one finds an - easy to sample - instrumental density verifying that the ratio between the goal and the instrumental densities is a bounded function. The generalized rejection sampling method allows to sample exactly from densities for which indeed only an approximation is known. The originality of the algorithm lies in the fact that one finally samples directly from the law without any approximation, except the machine's. As an application, we sample from the transition density of the two-skew Brownian motion with or without constant drift. The instrumental density is the transition density of the Brownian motion with constant drift, and we provide an useful uniform bound for the ratio of the densities. We also present numerical simulations to study the efficiency of the algorithm. The second aim of this thesis is to develop an exact simulation algorithm for a Brownian diffusion whose drift admits several jumps. In the literature, so far only the case of a continuous drift (resp. of a drift with one finite jump) was treated. The theoretical method we give allows to deal with any finite number of discontinuities. Then we focus on the case of two jumps, using the transition densities of the two-skew Brownian motion obtained before. Various examples are presented and the efficiency of our approach is discussed. N2 - In dieser Dissertation wird die exakte Simulation zweier Klassen reeller Brownscher Diffusionen untersucht: die multi-skew Brownsche Bewegung mit konstanter Drift sowie die Brownsche Diffusionen mit einer Drift mit endlich vielen Sprüngen. Die skew Brownsche Bewegung wurde in den sechzigern Jahren von Itô and McKean als eine Brownsche Bewegung eingeführt, für die die Richtung ihrer Exkursionen am Ursprung zufällig mit einer gegebenen Wahrscheinlichkeit ausgewürfelt wird. Solche asymmetrischen Prozesse verhalten sich im Wesentlichen wie der Originalprozess außer bei 0, das sich wie eine semipermeable Barriere verhält. Allgemeiner sind skew Diffusionsprozesse mit mehreren semipermeablen Barrieren, auch multi-skew Diffusionen genannt, Diffusionsprozesse mit Ausnahme an den Barrieren, wo sie jeweils teilweise reflektiert wird. Natürlich ist eine multi-skew Diffusion durch eine stochastische Differentialgleichung mit Lokalzeiten (diese bewirken die Semipermeabilität) oder durch ihren infinitesimalen Generator als Markov Prozess charakterisiert. In dieser Arbeit leiten wir zunächst eine Konturintegraldarstellung der Übergangshalbgruppe der multi-skew Brownschen Bewegung mit konstanter Drift durch eine feine Analyse ihrer komplexen Eigenschaften her. Dank dieser Darstellung wird eine explizite Darstellung der Übergangswahrscheinlichkeiten der zweifach-skew Brownschen Bewegung mit konstanter Drift als eine unendliche Reihe Gaußscher Dichten erhalten. Anschlieẞend wird eine nützliche Verallgemeinerung der bekannten Verwerfungsmethode vorgestellt. Dieses grundlegende Verfahren ermöglicht Realisierungen von Zufallsvariablen, sobald man eine leicht zu simulierende Zufallsvariable derart findet, dass der Quotient der Dichten beider Zufallsvariablen beschränkt ist. Die verallgmeinerte Verwerfungsmethode erlaubt eine exakte Simulation für Dichten, die nur approximiert werden können. Die Originalität unseres Verfahrens liegt nun darin, dass wir, abgesehen von der rechnerbedingten Approximation, exakt von der Verteilung ohne Approximation simulieren. In einer Anwendung simulieren wir die zweifach-skew Brownsche Bewegung mit oder ohne konstanter Drift. Die Ausgangsdichte ist dabei die der Brownschen Bewegung mit konstanter Drift, und wir geben gleichmäẞige Schranken des Quotienten der Dichten an. Dazu werden numerische Simulationen gezeigt, um die Leistungsfähigkeit des Verfahrens zu demonstrieren. Das zweite Ziel dieser Arbeit ist die Entwicklung eines exakten Simulationsverfahrens für Brownsche Diffusionen, deren Drift mehrere Sprünge hat. In der Literatur wurden bisher nur Diffusionen mit stetiger Drift bzw. mit einer Drift mit höchstens einem Sprung behandelt. Unser Verfahren erlaubt den Umgang mit jeder endlichen Anzahl von Sprüngen. Insbesondere wird der Fall zweier Sprünge behandelt, da unser Simulationsverfahren mit den bereits erhaltenen Übergangswahrscheinlichkeiten der zweifach-skew Brownschen Bewegung verwandt ist. An mehreren Beispielen demonstrieren wir die Effizienz unseres Ansatzes. KW - exact simulation KW - exakte Simulation KW - skew diffusions KW - Skew Diffusionen KW - local time KW - discontinuous drift KW - diskontinuierliche Drift Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-102399 ER - TY - GEN A1 - Mazzonetto, Sara A1 - Salimova, Diyora T1 - Existence, uniqueness, and numerical approximations for stochastic burgers equations T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - In this article, we propose an all-in-one statement which includes existence, uniqueness, regularity, and numerical approximations of mild solutions for a class of stochastic partial differential equations (SPDEs) with non-globally monotone nonlinearities. The proof of this result exploits the properties of an existing fully explicit space-time discrete approximation scheme, in particular the fact that it satisfies suitable a priori estimates. We also obtain almost sure and strong convergence of the approximation scheme to the mild solutions of the considered SPDEs. We conclude by applying the main result of the article to the stochastic Burgers equations with additive space-time white noise. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1393 KW - stochastic Burgers equations KW - SPDEs KW - mild solution KW - existence KW - numerical approximation Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-515796 SN - 1866-8372 IS - 4 ER - TY - BOOK A1 - Zass, Alexander A1 - Zagrebnov, Valentin A1 - Sukiasyan, Hayk A1 - Melkonyan, Tatev A1 - Rafler, Mathias A1 - Poghosyan, Suren A1 - Zessin, Hans A1 - Piatnitski, Andrey A1 - Zhizhina, Elena A1 - Pechersky, Eugeny A1 - Pirogov, Sergei A1 - Yambartsev, Anatoly A1 - Mazzonetto, Sara A1 - Lykov, Alexander A1 - Malyshev, Vadim A1 - Khachatryan, Linda A1 - Nahapetian, Boris A1 - Jursenas, Rytis A1 - Jansen, Sabine A1 - Tsagkarogiannis, Dimitrios A1 - Kuna, Tobias A1 - Kolesnikov, Leonid A1 - Hryniv, Ostap A1 - Wallace, Clare A1 - Houdebert, Pierre A1 - Figari, Rodolfo A1 - Teta, Alessandro A1 - Boldrighini, Carlo A1 - Frigio, Sandro A1 - Maponi, Pierluigi A1 - Pellegrinotti, Alessandro A1 - Sinai, Yakov G. ED - Roelly, Sylvie ED - Rafler, Mathias ED - Poghosyan, Suren T1 - Proceedings of the XI international conference stochastic and analytic methods in mathematical physics N2 - The XI international conference Stochastic and Analytic Methods in Mathematical Physics was held in Yerevan 2 – 7 September 2019 and was dedicated to the memory of the great mathematician Robert Adol’fovich Minlos, who passed away in January 2018. The present volume collects a large majority of the contributions presented at the conference on the following domains of contemporary interest: classical and quantum statistical physics, mathematical methods in quantum mechanics, stochastic analysis, applications of point processes in statistical mechanics. The authors are specialists from Armenia, Czech Republic, Denmark, France, Germany, Italy, Japan, Lithuania, Russia, UK and Uzbekistan. A particular aim of this volume is to offer young scientists basic material in order to inspire their future research in the wide fields presented here. T3 - Lectures in pure and applied mathematics - 6 KW - statistical mechanics KW - random point processes KW - stochastic analysis Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-459192 SN - 978-3-86956-485-2 SN - 2199-4951 SN - 2199-496X IS - 6 PB - Universitätsverlag Potsdam CY - Potsdam ER -