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We prove that, over any field, the bilinear complexity of multiplying a matrix by a matrix is strictly greater than . In particular, every exact bilinear algorithm for multiplying a matrix by a matrix requires at least multiplications. Together with the Hopcroft-Kerr upper bound, this proves that the matrix multiplication tensor has rank exactly . The proof has been formally verified in Lean 4, with the formalization available at https://github.com/fallnlove/mm325_proof.

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