Generalized Orlicz spaces and Wasserstein distances for convex-concave scale functions

Mathematics – Functional Analysis

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Given a strictly increasing, continuous function $\vartheta:\R_+\to\R_+$, based on the cost functional $\int_{X\times X}\vartheta(d(x,y))\,d q(x,y)$, we define the $L^\vartheta$-Wasserstein distance $W_\vartheta(\mu,\nu)$ between probability measures $\mu,\nu$ on some metric space $(X,d)$. The function $\vartheta$ will be assumed to admit a representation $\vartheta=\phi\circ\psi$ as a composition of a convex and a concave function $\phi$ and $\psi$, resp. Besides convex functions and concave functions this includes all $\mathcal C^2$ functions. For such functions $\vartheta$ we extend the concept of Orlicz spaces, defining the metric space $L^\vartheta(X,m)$ of measurable functions $f: X\to\R$ such that, for instance, $$d_\vartheta(f,g)\le1\quad\Longleftrightarrow\quad \int_X\vartheta(|f(x)-g(x)|)\,d\mu(x)\le1.$$

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Generalized Orlicz spaces and Wasserstein distances for convex-concave scale functions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Generalized Orlicz spaces and Wasserstein distances for convex-concave scale functions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Generalized Orlicz spaces and Wasserstein distances for convex-concave scale functions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-178102

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.