u/dubiumlb

I’ve been playing around with a symbolic matrix analyzer that goes a bit beyond the usual numeric tools.

It handles things like:

• exact eigenvalues/eigenvectors (with parameters like β, γ, etc.)
• symbolic diagonalization
• recognizing structures (e.g. Hadamard, Pauli, Lorentz boosts)
• clean factorization of expressions instead of messy outputs

Might be useful if you’re working with parametric matrices or teaching concepts where numeric approximations get in the way:

https://www.dubiumlabs.com/en/mathematics/symbolic-matrix-analyzer

Curious how it compares to what you usually use.