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We study the Riemannian distance function from a fixed point (a point-wise target) of Euclidean space in the presence of a compact obstacle bounded by a smooth hypersurface. First, we show that such a function is locally semiconcave with a fractional modulus of order one half and that, near the obstacle, this regularity is optimal. Then, in the Euclidean setting, we show that the distance function is everywhere differentiable (except for the point-wise target) if and only if no obstacle is present. Finally, we prove that all the singular points of the distance function are not isolated, in the sense that each singularity belongs to a nontrivial continuum of singular points.
We consider a trader who aims to liquidate a large position in the presence of an arbitrageur who hopes to profit from the traders activity. The arbitrageur is uncertain about the traders position and learns from observed price fluctuations. This is
We consider a nonlocal semi-linear parabolic equation on a connected exterior domain of the form $mathbb{R}^Nsetminus K$, where $Ksubsetmathbb{R}^N$ is a compact obstacle. The model we study is motivated by applications in biology and takes into acco
This paper addresses tracking of a moving target in a multi-agent network. The target follows a linear dynamics corrupted by an adversarial noise, i.e., the noise is not generated from a statistical distribution. The location of the target at each ti
In this paper we study the local linearization of the Hellinger--Kantorovich distance via its Riemannian structure. We give explicit expressions for the logarithmic and exponential map and identify a suitable notion of a Riemannian inner product. Sam
This chapter presents recent solutions to the optimal power flow (OPF) problem in the presence of renewable energy sources (RES), {such} as solar photo-voltaic and wind generation. After introducing the original formulation of the problem, arising fr