Why do small perturbations in input cause large changes in output for some matrices?

Updated May 16, 2026

Short answer

Because ill-conditioned matrices amplify input noise.

Deep explanation

When a matrix has a high condition number, small perturbations in input or coefficients get amplified significantly in output. This is critical in ML optimization and numerical solvers.

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