Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
140 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Optimal Ballistic Transport and Hopf-Lax Formulae on Wasserstein Space (1705.05951v2)

Published 16 May 2017 in math.AP

Abstract: We investigate the optimal mass transport problem associated to the following "ballistic" cost functional on phase space $M\times M*$, $$ b_T(v, x):=\inf{\langle v, \gamma (0)\rangle +\int_0TL(\gamma (t), {\dot \gamma}(t))\, dt, \gamma \in C1([0, T), M), \gamma(T)=x}, $$ where $M=\mathbb{R}d$, $T>0$, and $L:M\times M \to \mathbb{R}$ is a Lagrangian that is jointly convex in both variables. Under suitable conditions on the initial and final probability measures, we use convex duality `a la Bolza and Monge-Kantorovich theory to lift classical Hopf-Lax formulae from state space to Wasserstein space. This allows us to relate optimal transport maps for the ballistic cost to those associated with the fixed-end cost defined on $M\times M$ by $$ c_T(x,y):=\inf{\int_0TL(\gamma(t), {\dot \gamma}(t))\, dt, \gamma\in C1([0, T), M), \gamma(0)=x, \gamma(T)=y}. $$ We also point to links with the theory of mean field games.

Summary

We haven't generated a summary for this paper yet.