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Description:Added Hessenberg form definition
# Definition of Hessenberg formPut content here**Definition:** A square matrix $H$ is in **upper Hessenberg form** if all entries below the first subdiagonal are zero: $h_{ij} = 0$ for $i > j + 1$. ⏎ $$H = \begin{pmatrix} * & * & * & * & * \\ * & * & * & * & * \\ 0 & * & * & * & * \\ 0 & 0 & * & * & * \\ 0 & 0 & 0 & * & * \end{pmatrix}$$ ⏎ Similarly, **lower Hessenberg** has zeros above the first superdiagonal. ⏎ **Theorem:** Every square matrix is unitarily similar to a matrix in Hessenberg form: $A = QHQ^*$ where $Q$ is unitary. ⏎ Hessenberg form is used as an intermediate step in eigenvalue algorithms (like the QR algorithm) because it is nearly triangular and cheaper to work with than a full matrix. The reduction to Hessenberg form can be done in $O(n^3)$ operations using Householder reflections. # Parents * Canonical forms of matrices
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