Let $\chi:\Omega \to \Bbb{R}^n$ be smooth function where $\Omega \subset \Bbb{R}^n$, assume the derivatie $D\chi$ being negative definite matrix.Is possible to let the following change of variable formula holds?for $S$ a bounded set and $g\in L^{1}_{loc}(\Bbb{R}^n)$. If $\chi$ is only negative semidefinite does this hold?
$$\int_{\chi(S)} g(x)dx = \int_{S}g(\chi(y)) |\det(D\chi)|dy$$
Typically I assume $\chi$ be a diffeomorphism, however, I recently came across this version of change of variable formula when proving the Alexandroff maximum principle, I don't know if this type of change of variable formula holds, is there some reference? I can't find this on wiki.
As shown in the post below, the condition that $\chi$ is "injective" is necessary to let the change of variable formula hold.
Althong if $\chi$ for arbitary smooth function this version change of variable formula does not hold.If we assume or restrict the domain to be convex, and If $\chi = Du$ is derivative of some function $u:\Omega \to \Bbb{R}$, then under the assumption $D\chi = D^2 u <0$ we can prove $D\chi$ is in fact a injective function, therefore the change of variable formula holds .(that is we add two additional condition: first assume $\chi = Du$ for some $u$, second we assume or restrict $\Omega$ be the convex set.)
To see this since $D^2 u <0$ we deduce that $u$ is concave, therefore
$$u(x) \le u(y) + Du(y)\cdot(y-x)\\ u(y) \le u(x) + Du(x)\cdot(x -y)$$
If we assume $Du(x) = Du(y)$ then we deduce that $u(x) = u(y) + Du(y)\cdot(y-x)$ therefore:
$$u(y) = u(x) + Du(x)\cdot (y- x) + \int_0^1t<D^2u(x + (1-t) y )(y-x),(y-x)> dt$$.(where we use the convexity of the domain $\Omega$)
therefore the integrand must be zero everywhere,which implies $x = y$.