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  "body": "\n## Summary\n\nAn upper Hessenberg matrix is a square matrix whose entries below the first subdiagonal are zero; a lower Hessenberg matrix is its transpose.\nIt is almost [[triangular|GTG8MJGDKC]], with one extra diagonal.\nEvery complex square matrix is unitarily similar to an upper Hessenberg matrix, and this reduction takes finitely many steps.\nFor this reason the [[QR algorithm|B6F8YWHYZ5]] for eigenvalues first brings a matrix to Hessenberg form.\n\n## Explanations\n\n### L1 human\n\nStart from an upper triangular matrix and allow one more diagonal of nonzero entries just below the main diagonal.\nThe result is an upper Hessenberg matrix, such as $\\begin{pmatrix} 1 \u0026 2 \u0026 3 \\\\ 4 \u0026 5 \u0026 6 \\\\ 0 \u0026 7 \u0026 8 \\end{pmatrix}$.\nExact triangular form usually needs the eigenvalues, which are hard to find.\nHessenberg form is the closest one can get with a fixed, finite amount of work, and it makes each later step of eigenvalue algorithms much cheaper.\n",
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