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I am currently Professor of Pure Mathematics at EPFL and at Imperial College London. My mailing address is: Martin Hairer. EPFL SB MATH PROPDE. Station 8. CH-1015 Lausanne. Switzerland. Email: martin.hairer@epfl.ch. (Photo: Peter Badge) You can download my curriculum (as a PDF file) here .
Sir Martin Hairer KBE FRS (born 14 November 1975) is an Austrian-British mathematician working in the field of stochastic analysis, in particular stochastic partial differential equations. He is Professor of Mathematics at EPFL (École Polytechnique Fédérale de Lausanne) and at Imperial College London .
Martin Hairer (* 14. November 1975 in Genf) ist ein österreichischer Mathematiker und Fields-Medaillen-Träger (2014), der sich mit stochastischen partiellen Differentialgleichungen (SPDE) mit Anwendungen in der statistischen Mechanik beschäftigt. Er ist Professor für Mathematik am Imperial College London und an der EPFL (École ...
Professor Martin Hairer. Faculty of Natural Sciences , Department of Mathematics. Royal Society Research Professor. Summary. My main areas of interest are probability theory and analysis, with a particular focus on the analysis of stochastic PDEs. Please visit my personal homepage for more information. Publications. Journals.
Martin Hairer is a mathematician globally renowned for his breakthrough work at the intersection of analysis and probability. In 2014 he won the Fields Medal for visionary work which introduced a radical new way of constructing solutions for certain nonlinear stochastic partial differential equations which had been intractable before, and which ...
237. 2019. Spectral gaps for a Metropolis–Hastings algorithm in infinite dimensions. M Hairer, AM Stuart, SJ Vollmer. The Annals of Applied Probability 24 (6), 2455-2490. , 2014. 208. 2014. Spectral gaps in Wasserstein distances and the 2D stochastic Navier–Stokes equations.
It starts by recalling the basics of the theory of Gaussian measures on infinite-dimensional spaces and of semigroup theory. This then allows us to proceed to the study of linear stochastic partial differential equations (stochastic heat equation, stochastic wave equation). We then build on this foundation to tackle a class of non-linear equations.
