Applications of dimension interpolation to orthogonal projections

Jonathan M. Fraser*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Dimension interpolation is a novel programme of research which attempts to unify the study of fractal dimension by considering various spectra which live in between well-studied notions of dimension such as Hausdorff, box, Assouad and Fourier dimension. These spectra often reveal novel features not witnessed by the individual notions and this information has applications in many directions. In this survey article, we discuss dimension interpolation broadly and then focus on applications to the dimension theory of orthogonal projections. We focus on three distinct applications coming from three different dimension spectra, namely, the Fourier spectrum, the intermediate dimensions, and the Assouad spectrum. The celebrated Marstrand–Mattila projection theorem gives the Hausdorff dimension of the orthogonal projection of a Borel set in Euclidean space for almost all orthogonal projections. This result has inspired much further research on the dimension theory of projections including the consideration of dimensions other than the Hausdorff dimension, and the study of the exceptional set in the Marstrand–Mattila theorem.
Original languageEnglish
Article number10
Number of pages23
JournalResearch in the Mathematical Sciences
Volume12
Issue number1
Early online date25 Jan 2025
DOIs
Publication statusPublished - 1 Mar 2025

Keywords

  • Dimension interpolation
  • Projections
  • Marstrand's theorem
  • Hausdorff dimension
  • Box dimension
  • Assouad dimension
  • Fourier dimension
  • Assouad spectrum
  • Intermediate dimensions
  • Fourier spectrum

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