Optimal Transport and the Monge Ampère equation: Difference between revisions

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:<math>  g(y) = \frac{f(T^{-1}(y))}{\det (DT(T^{-1}(y)))} </math>
:<math>  g(y) = \frac{f(T^{-1}(y))}{\det (DT(T^{-1}(y)))} </math>
It can be shown that for this particular variant of the Monge problem, we have <math> T = \nabla u </math> where <math> u </math is convex. If we require <math> u </math> to be strictly convex, <math> T </math> is guaranteed to be injective. Once <math> \nabla u </math> is substituted for <math> T </math> in the change of variables formula, one obtains
:<math> \det (D^2 u(x)) = \frac {f(x)}{g(\nabla u(x)) </math>


==References==
==References==

Revision as of 01:29, 9 May 2020

The Monge Ampère equation[1] is an nonlinear second-order elliptic partial differential equation. Given sufficient conditions on an optimal transport problem, the Monge Ampère equation defines a change of variables formula for the pushforward of a transport map. In particular, the Monge Ampère equation applies to a variant of the Monge Problem where the cost function is quadratic.

Deriving the Monge Ampère equation from the Monge Problem

The appropriate variant of the Monge Problem for this situation is

Consider the case when are absolutely continuous, where is the starting measure, and . Say and are the densities of and respectively. Moreover, let be and injective. The change of variables formula tells us that

It can be shown that for this particular variant of the Monge problem, we have where to be strictly convex, is guaranteed to be injective. Once is substituted for in the change of variables formula, one obtains

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \det (D^2 u(x)) = \frac {f(x)}{g(\nabla u(x)) }

References