activity
20172023
most citedA graph complexity measure based on the spectral analysis of the Laplace operator

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

math.AP2023

Large-scale homogeneity and isotropy versus fine-scale condensation. A model based on Muckenhoupt type densities

Hugo Aimar, Federico Morana

In this brief note we aim to provide, through a well known class of singular densities in harmonic analysis, a simple approach to the fact that the homogeneity of the universe on s…

math.AP2023★ 1 cited

On the structure of the diffusion distance induced by the fractional dyadic Laplacian

María Florencia Acosta, Hugo Aimar, Ivana Gómez +1

In this note we explore the structure of the diffusion metric of Coifman-Lafon determined by fractional dyadic Laplacians. The main result is that, for each , the diffusion…

cs.IT2021★ 4 cited

A graph complexity measure based on the spectral analysis of the Laplace operator

Diego M. Mateos, Federico Morana, Hugo Aimar

In this work we introduce a concept of complexity for undirected graphs in terms of the spectral analysis of the Laplacian operator defined by the incidence matrix of the graph. Pr…

math.AP2017

The dyadic fractional diffusion kernel as a central limit

Hugo Aimar, Ivana Gómez, Federico Morana

In this paper we obtain the fundamental solution kernel of dyadic diffusions in as a Central Limit of dyadic mollification of iterations of stable Markov kernels. Th…

math.AP2017

Heavy tailed approximate identities and -stable Markov kernels

Hugo Aimar, Ivana Gómez, Federico Morana

The aim of this paper is to present some results relating the properties of stability, concentration and approximation to the identity of convolution through not necessarily mollif…