The project Multi-scale incidence geometry lies at the interface of fractal geometry and incidence geometry. Fractal geometry studies sets with no smoothness. Examples in nature are ubiquitous, including trees, clouds, fractured coastlines, the Milky Way -- or the graph of Dow Jones. Fractal sets also arise from many other branches of mathematics, such as dynamical systems, stochastics, or harmonic analysis. A prototypical question in fractal geometry asks to calculate, or estimate, the "dimension" of a fractal set. As a classical example, the dimension of the coastline of Britain is roughly 1.25.
Incidence geometry is a branch of combinatorics. It asks questions of the following kind: given m < n, and a planar set containing n points, how many distinct lines can there exist which intersect the set in at least m points? A sharp answer to this question was already found by E. Szemerédi and W. Trotter in the 80s.
The question answered by Szemerédi and Trotter can be extended to a fractal geometric problem, as follows: given s < t, and a planar set of dimension t, how many lines can there exist that intersect the set in dimension at least s? This question is known as the Furstenberg set problem, and it was posed by the harmonic analyst T. Wolff in the late 90s.
While the Furstenberg set problem has formal similarity to the one solved by Szemerédi and Trotter, a key difference makes it harder: unlike cardinality, fractal dimension encodes information at many scales. Informally speaking, a clustered set of a 1000 points has lower dimension than a well-spread set with 1000 points. This difference is not seen by cardinality, but needs to be taken into account when solving the Furstenberg set problem, and related questions. The Furstenberg set problem is a question in multi-scale incidence geometry.
The project aims to solve, or make progress, in several well-known problems related to the Furstenberg set problem. Examples include estimating the dimension of projections and visible parts of fractal sets. The Furstenberg problem itself was on the original research agenda, but it was solved in 2023 by K. Ren, H. Wang, P. Shmerkin, and the PI around the same time when the project started. This was a leap forward in fractal geometry, and the field is currently witnessing a period of rapid development: one expects that the technology developed for the Furstenberg set problem will also help crack many related problems. One concrete example is the visibility problem, formulated around 2000: it asks to prove that if one looks at a planar fractal from a "random" direction, then the visible part has dimension at most one.
A broader question concerns the sharpness of the solution of the Furstenberg set problem. The 2023 solution is sharp in the lack of further hypotheses. However, fractals arising in real applications often exhibit some degree of statistical self-similarity, whereas known sharpness examples to the Furstenberg set theorem do not. It is therefore plausible that there are sharper versions of the Furstenberg set theorem, and related results in fractal geometry, under mild additional hypotheses. Besides solving the visibility problem, finding these minimal hypotheses is a focus of the project.