This is the second blog post in a series of three. In the first blog post, we introduced the notion of a simproc, which can be thought of as a form of "modular" simp lemma. In this sequel, we give a more detailed exposition of the inner workings of the simp tactic in preparation of our third post, where we will see how to write new simprocs.
This is a brief report on the CMI HIMR Summer School on Formalizing Class Field Theory, held at the Mathematical Institute, University of Oxford on 21–25 July, 2025.
This is a report on the Simons Foundation's 2025 MPS (Mathematics and Physical Sciences) Workshop on Lean, held in New York City on June 16 - 25, 2025.
A post for beginners on the different ways to search for theorems in mathlib, inspired by this talk from Jireh Loreaux.
This February saw the birth of the Toric project, whose aim is to build the theory of toric varieties following Toric Varieties by Cox, Little and Schenck.
We soon discovered that toric varieties contained tori, and that Mathlib didn't.
This blog post is a double announcement:
Two significant results about abelian categories have recently been added to mathlib. The first is that any Grothendieck abelian category has enough injectives, and it follows from a general construction known as the small object argument. The second is the Freyd-Mitchell theorem which states that any abelian category admits a fully faithful exact functor to a category of modules.
Lean v4.6.0 (back in February 2024!) added support for custom simplification procedures, aka simprocs. This blog post is the first in a series of three aimed at explaining what a simproc is, what kind of problems can be solved with simprocs, and what tools we have to write them. Here is the second blog post.
A group effort to formalise some algebraic geometry in Lean.
How do I define a probability space and two independent random variables in Lean? Should I use IsProbabilityMeasure or ProbabilityMeasure?
How do I condition on an event?
This post answers these and other simple questions about how to express probability concepts using Mathlib.
Emily Riehl introduces the ∞-Cosmos Project.