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LDL* Factorization and Positive Definite Matrices

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Numerical Linear Algebra and Matrix Factorizations

Part of the book series: Texts in Computational Science and Engineering ((TCSE,volume 22))

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Abstract

In this chapter we consider LU factorizations of Hermitian and positive definite matrices. Recall that a matrix \({\boldsymbol {A}}\in {\mathbb {C}}^{n\times n}\) is Hermitian if A āˆ—ā€‰=ā€‰A, i.e., \(a_{ji}=\overline {a}_{ij}\) for all i, j. A real Hermitian matrix is symmetric. Since \(a_{ii}=\overline {a}_{ii}\) the diagonal elements of a Hermitian matrix must be real.

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Notes

  1. 1.

    Hint: The matrix E āˆ’1 is of the form E āˆ’1ā€‰=ā€‰Iā€‰+ā€‰auu T for some \(a \in {\mathbb {R}}\).

References

  1. G.H. Golub, C.F. Van Loan, Matrix Computations, 4th Edition (The John Hopkins University Press, Baltimore, MD, 2013)

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  2. C.D. Meyer, Matrix Analysis and Applied Linear Algebra. (SIAM, Philadelphia, 2000)

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Lyche, T. (2020). LDL* Factorization and Positive Definite Matrices. In: Numerical Linear Algebra and Matrix Factorizations. Texts in Computational Science and Engineering, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-36468-7_4

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