Title: Reverse approximation of gradient flows as Minimizing Movements: a conjecture by De Giorgi,
Abstract: We consider the Cauchy problem for the gradient flow \begin{equation}
\label{eq:81}
\tag{$\star$}
u'(t)=-\nabla\phi(u(t)),\quad t\ge 0;\quad
u(0)=u_0, \end{equation} generated by a continuously differentiable function
$\phi:\mathbb H \to \mathbb R$ in a Hilbert space $\mathbb H$ and study the
reverse approximation of solutions to ($\star$) by the De Giorgi Minimizing
Movement approach. We prove that if $\mathbb H$ has finite dimension and $\phi$
is quadratically bounded from below (in particular if $\phi$ is Lipschitz) then
for every solution $u$ to ($\star$) (which may have an infinite number of
solutions) there exist perturbations $\phi_\tau:\mathbb H \to \mathbb R \
(\tau>0)$ converging to $\phi$ in the Lipschitz norm such that $u$ can be
approximated by the Minimizing Movement scheme generated by the recursive
minimization of $\Phi(\tau,U,V):=\frac 1{2\tau}|V-U|^2+ \phi_\tau(V)$:
\begin{equation}
\label{eq:abstract}
\tag{$\star\star$}
U_\tau^n\in \operatorname{argmin}_{V\in \mathbb H}
\Phi(\tau,U_\tau^{n-1},V)\quad n\in\mathbb N, \quad U_\tau^0:=u_0.
\end{equation} We show that the piecewise constant interpolations with time
step $\tau > 0$ of all possible selections of solutions
$(U_\tau^n)_{n\in\mathbb N}$ to ($\star\star$) will converge to $u$ as
$\tau\downarrow 0$. This result solves a question raised by Ennio De Giorgi. We
also show that even if $\mathbb H$ has infinite dimension the above
approximation holds for the distinguished class of minimal solutions to
($\star$), that generate all the other solutions to ($\star$) by time
reparametrization.