Formalising perfectoid spaces
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Abstract (arXiv)
Perfectoid spaces are sophisticated objects in arithmetic geometry introduced by Peter Scholze in 2012. We formalised enough definitions and theorems in topology, algebra and geometry to define perfectoid spaces in the Lean theorem prover. This experiment confirms that a proof assistant can handle complexity in that direction, which is rather different from formalising a long proof about simple objects. It also confirms that mathematicians with no computer science training can become proficient users of a proof assistant in a relatively short period of time. Finally, we observe that formalising a piece of mathematics that is a trending topic boosts the visibility of proof assistants amongst pure mathematicians.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Oct 2019.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 3; 2024: 2.
7 papers.
- 2023ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematicscited by 192
- 2021Proof Artifact Co-training for Theorem Proving with Language Modelscited by 132
- 2023LEGO-Prover: Neural Theorem Proving with Growing Librariescited by 109
- 2021LIME: Learning Inductive Bias for Primitives of Mathematical Reasoningcited by 46
- 2024Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformerscited by 29
- 2024GFLean: An Autoformalisation Framework for Lean via GFcited by 9
- 2023Notes on a Path to AI Assistance in Mathematical Reasoningcited by 0
- 2024Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers10 Oct 2024
- 2024GFLean: An Autoformalisation Framework for Lean via GF1 Apr 2024
- 2023Notes on a Path to AI Assistance in Mathematical Reasoning4 Oct 2023
- 2023LEGO-Prover: Neural Theorem Proving with Growing Libraries1 Oct 2023
- 2023ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics24 Feb 2023
- 2021Proof Artifact Co-training for Theorem Proving with Language Models11 Feb 2021
- 2021LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning15 Jan 2021