Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/bhgomes/lean-riemann-hypothesis
Riemann Hypothesis in Lean
https://github.com/bhgomes/lean-riemann-hypothesis
lean lean-theorem-prover mathlib riemann-hypothesis
Last synced: 24 days ago
JSON representation
Riemann Hypothesis in Lean
- Host: GitHub
- URL: https://github.com/bhgomes/lean-riemann-hypothesis
- Owner: bhgomes
- License: mit
- Created: 2020-06-26T16:52:34.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-03-03T07:18:32.000Z (almost 4 years ago)
- Last Synced: 2024-08-10T14:12:13.675Z (4 months ago)
- Topics: lean, lean-theorem-prover, mathlib, riemann-hypothesis
- Language: Lean
- Homepage: https://reu.dimacs.rutgers.edu/~bg441/
- Size: 1.77 MB
- Stars: 37
- Watchers: 3
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Riemann Hypothesis in Lean
[![DOI](https://zenodo.org/badge/275204877.svg)](https://zenodo.org/badge/latestdoi/275204877)
_by Brandon H. Gomes and Alex Kontorovich through the Department of Mathematics, Rutgers University_
## Formalization
The Riemann Hypothesis is formalized by assuming some algebraic properties of the real and complex numbers and the existence/properties of the complex exponential function and the real logarithm. These axioms are then used to construct the Dirichlet η function which we use to define the Riemann Hypothesis as the following type:
```lean
(Re s ∈ (0,1)) ∧ (eta s = 0) → (Re s = 1/2)
```We also include the file, [`mathlib/impl.lean`](src/mathlib/impl.lean), which is a witness that the axioms can be proved using [`mathlib`](https://github.com/leanprover-community/mathlib).
## Acknowledgements
We would like to thank Alex Best, Kevin Buzzard, Colin Fan, Sebastien Gouezel, Heather Macbeth, and the Zulip Lean community for many suggestions that made this project possible.
The work of the first-named author was supported by the Rutgers Math Department through the DIMACS REU, and both are supported in part by the second-named author's NSF grant DMS-1802119.