Regression: Eigenvalue computation returns empty results for large symmetric matrices in Julia 1.11.0-beta1 #1072
Labels
bug
Something isn't working
correctness bug ⚠
Bugs that are likely to lead to incorrect results in user code without throwing
external dependencies
Involves LLVM, OpenBLAS, or other linked libraries
system:apple silicon
Affects Apple Silicon only (Darwin/ARM64) - e.g. M1 and other M-series chips
system:mac
Affects only macOS
I encountered an issue when computing the eigenvalues and eigenvectors of a large matrix using Julia 1.11.0-beta1. The same code works fine in Julia 1.10.3 but returns empty results in the beta version. This appears to be a regression introduced in the beta version.
Steps to reproduce
Here is the simplified code that sets up the Hamiltonian matrix and attempts to compute its eigenvalues and eigenvectors:
This issue does not only occur when
N = 1600
. On my computer, this happens whenN >= 790
.Expected behavior
The code should return a non-empty list of eigenvalues and a corresponding matrix of eigenvectors.
Actual behavior
Additional information
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