clean mathematics
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@ -17,7 +17,7 @@ closed field, e.g., `ℂ`, is unitarily similar to an upper triangular matrix.
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be decomposed as `A = U * T * star U` where `U` is unitary and `T` is upper triangular.
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- `Matrix.schurTriangulationUnitary` : the unitary matrix `U` as previously stated.
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- `Matrix.schurTriangulation` : the upper triangular matrix `T` as previously stated.
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- Some auxilary definitions are not meant to be used directly, but
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- Some auxiliary definitions are not meant to be used directly, but
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`LinearMap.SchurTriangulationAux.of` contains the main algorithm for the triangulation procedure.
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-/
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@ -124,8 +124,8 @@ end
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Given a linear endomorphism `f` on a non-trivial finite-dimensional vector space `E` over an
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algebraically closed field `𝕜`, one can always pick an eigenvalue `μ` of `f` whose corresponding
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eigenspace `V` is non-trivial. Given that `E` is also an inner product space, let `bV` and `bW` be
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othonormal bases for `V` and `Vᗮ` respectively. Then, the collection of vectors in `bV` and `bW`
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forms an othornomal basis `bE` for `E`, as the direct sum of `V` and `Vᗮ` is an internal
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orthonormal bases for `V` and `Vᗮ` respectively. Then, the collection of vectors in `bV` and `bW`
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forms an orthonormal basis `bE` for `E`, as the direct sum of `V` and `Vᗮ` is an internal
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decomposition of `E`. The matrix representation of `f` with respect to `bE` satisfies
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$$
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\sideset{_\mathrm{bE}}{_\mathrm{bE}}{[f]} =
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