Statistical instability of a stochastically forced shear

For a fixed elongated rectangular torus and forcing in the single vorticity mode sin y, the stochastically forced two-dimensional Navier–Stokes equations have, at sufficiently small viscosity, an ergodic invariant measure not supported on shear flows. This release archives the project website, which contains a digested account of the argument and the full raw proof. The raw proof was written by an AI model and has not been checked by a human. Project website: https://transverse-instability.github.io/. The project is listed on mathStoa, an archive for open mathematical research projects: https://math-stoa.org/.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-05
DOI
https://doi.org/10.5281/zenodo.23986032
Primary Topic
Navier-Stokes equation solutions
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Statistical instability of a stochastically forced shear

Tommaso Rosati, Samuel Punshon‐Smith
Zenodo (CERN European Organization for Nuclear Research)
Navier-Stokes equation solutions
preprint

Statistical instability of a stochastically forced shear

Tommaso Rosati, Samuel Punshon‐Smith
preprint en

Abstract

For a fixed elongated rectangular torus and forcing in the single vorticity mode sin y, the stochastically forced two-dimensional Navier–Stokes equations have, at sufficiently small viscosity, an ergodic invariant measure not supported on shear flows. This release archives the project website, which contains a digested account of the argument and the full raw proof. The raw proof was written by an AI model and has not been checked by a human. Project website: https://transverse-instability.github.io/. The project is listed on mathStoa, an archive for open mathematical research projects: https://math-stoa.org/.

Zenodo (CERN European Organization for Nuclear Research)
Tulane University (US), Imperial College London (GB)
Navier-Stokes equation solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon