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LDMT Decomposition and LDLT Decomposition of a Matrix


Next we will consider the special cases of LU factorizations of square matrices.

Proposition 6.1.1. If all the principal minors of the matrix tex2html_wrap_inline7067 are different from zero, then there exist such lower triangular matrices L and M with the unit leading diagonal and a diagonal matrix tex2html_wrap_inline8763 that
 equation3506
and the decomposition (1) is unique.

Proof. Since all the principal minors of the matrix tex2html_wrap_inline7067 are nonzero, then the proposition 1.2.2 implies that there exists the unique LU factorization of the matrix A
 equation3513
Let tex2html_wrap_inline8771 where di=uii (i =1: n). From the regularity of the matrix A it follows that the matrix D is regular. Therefore, tex2html_wrap_inline8779 and MT=D-1U is an upper triangular matrix. Hence
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The uniqueness of the decomposition (1) follows from the uniqueness of the factorization (2). tex2html_wrap_inline7853

Definition 6.1.1. The decomposition (1) is called the LDMT decomposition of the regular matrix tex2html_wrap_inline7067.

Example 6.1.1.* Let us find the LDMT decomposition of the matrix
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We state that if the principal minors of the matrix A are different from zero, then, by taking the matrix A to the triangular form by the Gauss transformation, we find simultaneously both the matrix L and the matrix U. Namely, the entry lij tex2html_wrap_inline8803 of the lower triangular matrix L equals the factor by which the j-th row must be multiplied when it is substracted from the i-th row to delete the entry in the i-th row. We find
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and
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Let us check:

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Proposition 6.1.2. If the regular matrix tex2html_wrap_inline7067 is symmetric and the LDMT decomposition of it has the form (1), then L=M, i.e.,
 
equation3578

Proof. From decomposition (1) it follows that
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Multiplying both sides of the last equality on the left by matrix M-1, we get
 equation3585
The matrix M-1AM-T is symmetric since
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The matrix M-1AM-T is a lower triangular matrix since both M-1 and AM-T=LD are lower triangular matrices. In virtue of relation (4), the matrix M-1LD is also symmetric and lower triangular. Therefore, the matrix M-1LD is diagonal. Since the matrix D is regular, then also the matrix M-1L is diagonal. In addition, the matrix M-1L is a lower triangular matrix with the unit diagonal. Hence M-1L=I or tex2html_wrap_inline8841

Problem 6.1.1.* Find the LU factorization, LDMT decomposition and LDLT decomposition of the matrix
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