QUOTE(v1n0d @ Dec 22 2013, 10:51 AM)
P.S. Sorry for double posting, apparently there's a limit on how many images one can link in a single post.
You can post up to seven images in a single post.
QUOTE(v1n0d @ Dec 22 2013, 10:51 AM)
The distance for two distributions using the derived metric is given by

, which is given in closed form as

where

and

.
We define the
length with respect to the Riemann metric g of a piecewise continuously differentiable curve represented by a map

by the formula using Einstein convention

We see immediately that the Euler-Lagrange equation for the Riemann metric will be a pain because of the square root in the Lagrangian. But then, this problem has a surprisingly simple solution, which, at first, cannot possibly seem right: that is,
simply omit the square root! 
Thus, you probably want to consider the functional:

To justify this, recall a condition is called
parametrization by arc length, that if the functional Sg indeed has a minimum in the space of continuously differentiable curves with fixed boundary points A, B, then the minimum curve also minimizes the functional sg, and furthermore is parametrized by arc length! Therefore,

The
equality arises if and only if 
is constant in t.