Top-level heading

Diffusion and mixing for two-dimensional Hamiltonian flows

We consider general two-dimensional autonomous velocity fields and prove that their mixing and dissipation features are limited to algebraic rates. As an application, we consider a standard cellular f...

Extracting Scattering Amplitudes from Euclidean Correlators

Scattering amplitudes can be extracted from time-ordered $n$-point functions by means of the well known LSZ reduction formula, even in non-perturbative Quantum Field Theories, such as Quantum Chromody...

Exploring numerical challenges in differential models with fractional derivatives

Fractional derivatives, a widely recognized mathematical tool, have gained considerable attention in recent decades owing to their non-local behavior, particularly suitable for capturing anomalous dif...

Diophantine Approximation to Closed Subschemes

The classical Weil height machine associates heights to divisors on a projective variety. I will give a brief introduction to this machinery, how it extends to objects (closed subschemes) in higher co...

The ring of differential operators on a monomial curve is a Hopf algebroid

The ring of differential operators on a cuspidal curve whose coordinate ring is a numerical semigroup algebra is shown to be a cocommutative and cocomplete left Hopf algebroid. If the semigroup is sym...

Dual Coxeter groups of rank three

I will discuss the combinatorics of the noncrossing partition posets associated with Coxeter groups of rank three. In particular, I will describe the techniques used to prove the lattice property and ...

On doubly critical elliptic systems

We will consider a type of cooperative nonlinear elliptic system in R^N. The interest of this problem is based on the presence of Sobolev or Sobolev-Hardy critical power nonlinearities and a nonlinear...

On s-Stability of \(W^{s,n/s}\)-minimizing maps between spheres in homotopy classes

We consider maps between spheres \(S^n\) to \(S^\ell\) that minimize the Sobolev-space energy \(W^{s,n/s}\) for some \(s \in (0,1)\) in a given homotopy class. The basic question is: in which homotopy...

Gaussian Approximation and Bayesian Posterior Distribution in Random Deep Neural Networks

We establish novel rates for the Gaussian approximation of randomly initialized deep neural networks with Gaussian parameters and Lipschitz activation functions, in the so-called wide limit, i.e., whe...
Iscriviti a 2024