Why does a numerical linear algebra algorithm, purportedly proving matrix invertibility, fail for ill-conditioned matrices?

💡 Explanation

A supposedly-valid proof of invertibility may fail due to the algorithm being sensitive to round-off errors. Ill-conditioned matrices amplify these errors due to high condition number, therefore, the calculated inverse might not be accurate, rather than inherent limitations of matrix invertibility proofs themselves.

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