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  • https://math.libretexts.org/Bookshelves/Linear_Algebra/Map%3A_Linear_Algebra_(Waldron_Cherney_and_Denton)/07%3A_Matrices/7.07%3A_LU_Redux
    Certain matrices are easier to work with than others. In this section, we will see how to write any square matrix M as the product of two simpler matrices.
  • https://math.libretexts.org/Under_Construction/Purgatory/Differential_Equations_and_Linear_Algebra_(Zook)/12%3A_Matrices/12.04%3A_LU_Redux
    Certain matrices are easier to work with than others. In this section, we will see how to write any square matrix M as the product of two simpler matrices.
  • https://math.libretexts.org/Bookshelves/Linear_Algebra/Book%3A_Linear_Algebra_(Schilling_Nachtergaele_and_Lankham)/07%3A_Eigenvalues_and_Eigenvectors/7.05%3A_Upper_Triangular_Matrices
    What we will show next is that we can find a basis of Vsuch that the matrix M(T) is upper triangular. Since T is upper triangular with respect to the basis (v1,,vn), we know th...What we will show next is that we can find a basis of Vsuch that the matrix M(T) is upper triangular. Since T is upper triangular with respect to the basis (v1,,vn), we know that a1Tv1++ak1Tvk1\Span(v1,,vk1). Recall that λF is an eigenvalue of T if and only if the operator TλI is not invertible.

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