Nationality Italian Awards Stampacchia Medal Fields Mathematics | Role Mathematician Name Alessio Figalli | |
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Born 2 April 1984 (age 40)
Rome, Italy ( 1984-04-02 ) Institutions University of Texas, Austin Alma mater Scuola Normale Superiore di Pisa
Ecole normale superieure de Lyon Doctoral students Eric Baer, Emanuel Indrei, Diego Marcon, Levon Nurbekyan, Maria Colombo Notable awards Prix and Cours Peccot (2012)
EMS Prize (2012)
Stampacchia Medal (2015) Books Optimal Transportation and Action-Minimizing Measures Education Scuola Normale Superiore di Pisa, Ecole Normale Superieure Doctoral advisor Luigi Ambrosio, Cedric Villani | ||
Icm2014 videoseries il8 2 alessio figalli on aug14thu
Alessio Figalli (born 2 April 1984) is an Italian mathematician working primarily on calculus of variations and partial differential equations. He has been awarded the Prix and Cours Peccot in 2012, the EMS Prize in 2012,, the Stampacchia Medal in 2015, and the Feltrinelli Prize in 2017. He has been an invited speaker at the International Congress of Mathematicians 2014. In 2016 he has also been awarded an ERC grant.
Contents
- Icm2014 videoseries il8 2 alessio figalli on aug14thu
- Intervista esclusiva per maddmaths alessio figalli intervista luis caffarelli
- Biography
- Work
- References
Intervista esclusiva per maddmaths alessio figalli intervista luis caffarelli
Biography
Figalli received his master's degree in mathetics from the Scuola Normale Superiore di Pisa in 2006, and earned his doctorate in 2007 under the supervision of Luigi Ambrosio at the Scuola Normale Superiore di Pisa and Cédric Villani at the École Normale Supérieure de Lyon. In 2007 he was appointed Chargé de recherche at the French National Centre for Scientific Research, in 2008 he went to the École polytechnique as Professeur Hadamard. In 2009 he moved to the University of Texas at Austin as Associate Professor. Then he became Full Professor in 2011, and R. L. Moore Chair holder in 2013. Since 2016, he is a chaired professor at ETH Zürich.
Amongst his several recognitions, Figalli has won an EMS Prize in 2012, he has been awarded the Peccot-Vimont Prize 2011 and Cours Peccot 2012 of the Collège de France and has been appointed Nachdiplom Lecturer in 2014 at ETH Zürich. He has won the 2015 edition of the Stampacchia Medal, and the 2017 edition of the Feltrinelli Prize for mathematics.
Work
Figalli has worked in the theory of optimal transport, with particular emphasis on the regularity theory of optimal transport maps and its connections to Monge–Ampère equations. Amongst the results he obtained in this direction, there stand out an important higher integrability property of the second derivatives of solutions to the Monge–Ampère equation and a partial regularity result for Monge–Ampère type equations, both proved together with Guido de Philippis. He used optimal transport techniques to get improved versions of the anisotropic isoperimetric inequality, and obtained several other important result on the stability of functional and geometric inequalities. In particular, together with Francesco Maggi and Aldo Pratelli, he proved a sharp quantitative version of the anisotropic isoperimetric inequality. Then, in a joint work with Eric Carlen, he addressed the stability analysis of some Gagliardo–Nirenberg and logarithmic Hardy–Littlewood–Sobolev inequalities to obtain a quantitative rate of convergence for the critical mass Keller–Segel equation. He also worked on Hamilton–Jacobi equations and their connections to weak Kolmogorov–Arnold–Moser theory. In a paper with Gonzalo Contreras and Ludovic Rifford, he proved generic hyperbolicity of Aubry sets on compact surfaces. In addition, he has given several contributions to the Di Perna–Lions' theory, applying it both to the understanding of semiclassical limits of the Schrödinger equation with very rough potentials, and to study the Lagrangian structure of weak solutions to the Vlasov–Poisson equation. More recently, in collaboration with Alice Guionnet, he introduced and developed new transportation techniques in the topic of random matrices to prove universality results in several-matrix models.
