Uniform Sobolev inequalities on geometric graphs

There is significant interest in the study of calculus on graphs, especially regarding the use of gradient-based methods for applications in data driven problems such as classification, clustering and regularisation for inverse problems.

Geometric graphs, whose vertices are take from from a Euclidean domain and whose edge structure is determined by the distance between the nodes in the domain, have been central in theoretical studies.

Typical approaches for analysis, such as studying consistency and the existence of continuum limits, rely on $\Gamma$-convergence.

This technique has some limitations, as it requires the typical length scale which determines the connectivity structure of the graph to be much larger than the scales frequently used for applications.

Moreover, it may fail to provide quantitative results.

This paper provides necessary and sufficient conditions on the asymptotic behaviour of this length scale for the existence of a uniform collection of Sobolev inequalities on a sequence of geometric graphs.

Furthermore, these inequalities hold when the length scales are much smaller than what is typically assumed for $\Gamma$-convergence results and within the range of what is used for data-driven problems.

The Sobolev inequalities provide a quantitative estimate on the $L^q$-regularisation effect of discrete gradients.