2026-07-06T21:47:45Zhttps://ce.visuallibrary.net/ulbd/oai/

oai:ce.visuallibrary.net/ulbd:13490312025-07-25T15:00:13Zulbdcebook

vls/2603nrwcece.visuallibrary.netvdRegularized unbalanced optimal transport as entropy minimization with respect to branching Brownian motionBaradat, Aymericca. 20./21. JhVerfasserautLavenant, HugoVerfasserauttextTextbookfrXA-FRParisSociété mathématique de France2025monographicengprintviii, 194 Seiten Illustrationen 25 cmohne Hilfsmittel zu benutzenBandWe consider the problem of minimizing the entropy of a law with respect to the law of a reference branching Brownian motion under density constraints at an initial and final time. We call this problem the branching Schrödinger problem by analogy with the Schrödinger problem, where the reference process is a Brownian motion. Whereas the Schrödinger problem is related to regularized (a.k.a.entropic) optimal transport, we investigate here the link of the branching Schrödinger problem with regularized unbalanced optimal transport. This link is shown at two levels. First, relying on duality arguments, the values of these two problems of calculus of variations are linked, in the sense that the value of the regularized unbalanced optimal transport (seen as a function of the initial and final measure) is the lower semi-continuous relaxation of the value of the branching Schrödinger problem. Second, we also explicit a correspondence between the competitors of these two problems, and to that end we provide a fine description of laws having a finite entropy with respect to a reference branching Brownian motion. We investigate the small noise limit, when the noise intensity of the branching Brownian motion goes to 0: in this case we show, at the level of the optimal transport model, that there is convergence to optimal partial transport. We also provide formal arguments about why looking at the branching Brownian motion, and not at other measure-valued branching Markov processes, like superprocesses, yields the problem closest to optimal transport. Finally, we explain how this problem can be solved numerically: the dynamical formulation of regularized unbalanced optimal transport can be discretized and solved via convex optimizationA. Baradat & H. LavenantLiteraturverzeichnis: Seite [189]-194Transport optimal de mesureMouvement brownienAnalyse stochastiqueMarkov, Processus deNuméro de périodique49N1549Q2260H3060J8035K5846E3060G579782379052118152529761699375707973106441HT031173818Astérisque458(DE-605)HT001256084rda25063020250721165525.0154293101ger https://ce.visuallibrary.net//domainresource/static/graphics/connectors/viewerLogo.gif http://193.30.112.129:83/F/?func=find-c&ccl_term=ICS%3D154293101+X0001 https://ce.visuallibrary.net/id/1349031 https://ce.visuallibrary.net/i3f/v20/1349031/manifest https://ce.visuallibrary.net/proto_ftsearch/1349031