ruben-vandevelde / carleson

A formalized proof of Carleson's theorem in Lean

Formalization of a generalized Carleson's theorem

A (WIP) formalized proof of a generalized Carleson's theorem in Lean.

• Zulip channel for coordination
• Webpage
• Blueprint
• Blueprint as pdf
• Dependency graph
• Doc pages for this repository

Carleson's theorem

The classical statement of Carleson's theorem is easy. One phrasing is that if you have a continuous periodic function f : ℝ → ℝ then the Fourier series of f converges pointwise to f almost everywhere. However, the proof is very hard! In this project we will prove this theorem, from a much more general theorem, which was recently proved by Christoph Thiele and his group (it has not been published yet at the moment). This generalization proves the boundedness of a generalized Carleson operator on doubling metric measure spaces.

Contribute

To get the repository, make sure you have installed Lean. Then get the repository using git clone https://github.com/fpvandoorn/carleson.git and run lake exe cache get! inside the repository. Run lake build to build all files in this repository. See the README of my course repository for more detailed instructions.

To publish your changes on Github, you need to be added as a contributor to this repository. Make a Github account if you don't have one already and send your Github account per email to Floris. I will add you.

To push your changes, the easiest method is to use the Source Control panel in VSCode. Feel free to push unfinished code and code that is work in progress, but make sure that the file(s) you've worked have no errors (having sorry's is of course fine).

Build the blueprint

To test the Blueprint locally, you can compile print.tex using XeLaTeX (i.e. xelatex print.tex in the folder blueprint/src). If you have the Python package invoke you can also run inv bp which puts the output in blueprint/print/print.pdf. If you feel adventurous and want to build the web version of the blueprint locally, you need to install some packages by following the instructions here. But if the pdf builds locally, you can just make a pull request and use the online blueprint.