LDLT Factorization

LDLT Factorization – Detailed Numerical Examples

Dr. Brajesh Kumar Jha


General Formula

For symmetric matrix $A$:

$$ A = L D L^T $$ $$ d_k = a_{kk} - \sum_{j=1}^{k-1} l_{kj}^2 d_j $$ $$ l_{ik} = \frac{1}{d_k} \left( a_{ik} - \sum_{j=1}^{k-1} l_{ij} l_{kj} d_j \right) $$

Example 1

$$ A = \begin{bmatrix} 4 & 2 & 2 \\ 2 & 5 & 1 \\ 2 & 1 & 3 \end{bmatrix} $$

Step 1

$$ d_1 = 4 $$ $$ l_{21} = \frac{2}{4} = \frac{1}{2}, \quad l_{31} = \frac{2}{4} = \frac{1}{2} $$

Step 2

$$ d_2 = 5 - \left(\frac{1}{2}\right)^2(4) $$ $$ = 5 - 1 = 4 $$ $$ l_{32} = \frac{1}{4} \left( 1 - \frac{1}{2}\cdot\frac{1}{2}\cdot 4 \right) = \frac{1}{4}(1-1)=0 $$

Step 3

$$ d_3 = 3 - \left(\frac{1}{2}\right)^2(4) $$ $$ = 3 - 1 = 2 $$

Final Matrices

$$ L = \begin{bmatrix} 1 & 0 & 0 \\ \frac{1}{2} & 1 & 0 \\ \frac{1}{2} & 0 & 1 \end{bmatrix} $$ $$ D = \begin{bmatrix} 4 & 0 & 0 \\ 0 & 4 & 0 \\ 0 & 0 & 2 \end{bmatrix} $$

Example 2

$$ A = \begin{bmatrix} 2 & -1 & 1 \\ -1 & 2 & -1 \\ 1 & -1 & 2 \end{bmatrix} $$

Step 1

$$ d_1 = 2 $$ $$ l_{21} = -\frac{1}{2}, \quad l_{31} = \frac{1}{2} $$

Step 2

$$ d_2 = 2 - \left(-\frac{1}{2}\right)^2(2) $$ $$ = 2 - \frac{1}{2} = \frac{3}{2} $$ $$ l_{32} = \frac{1}{\frac{3}{2}} \left( -1 - \left(\frac{1}{2}\right)\left(-\frac{1}{2}\right)(2) \right) $$ $$ = \frac{2}{3}\left(-1+\frac{1}{2}\right) = -\frac{1}{3} $$

Step 3

$$ d_3 = 2 - \left(\frac{1}{2}\right)^2(2) - \left(-\frac{1}{3}\right)^2\left(\frac{3}{2}\right) $$ $$ = 2 - \frac{1}{2} - \frac{1}{6} = \frac{4}{3} $$

Example 3

$$ A = \begin{bmatrix} 9 & 3 & 6 \\ 3 & 5 & 4 \\ 6 & 4 & 10 \end{bmatrix} $$

Step 1

$$ d_1 = 9 $$ $$ l_{21} = \frac{3}{9}=\frac{1}{3}, \quad l_{31} = \frac{6}{9}=\frac{2}{3} $$

Step 2

$$ d_2 = 5 - \left(\frac{1}{3}\right)^2(9) $$ $$ = 5 - 1 = 4 $$ $$ l_{32} = \frac{1}{4} \left( 4 - \frac{2}{3}\cdot\frac{1}{3}\cdot9 \right) = \frac{1}{2} $$

Step 3

$$ d_3 = 10 - \left(\frac{2}{3}\right)^2(9) - \left(\frac{1}{2}\right)^2(4) $$ $$ = 10 - 4 - 1 = 5 $$

Indefinite Matrix Example

$$ A = \begin{bmatrix} 1 & 2 & 0 \\ 2 & 1 & 2 \\ 0 & 2 & 1 \end{bmatrix} $$

Step 1

$$ d_1 = 1 $$ $$ l_{21} = 2, \quad l_{31}=0 $$

Step 2

$$ d_2 = 1 - (2)^2(1) $$ $$ = 1 - 4 = -3 $$ $$ l_{32} = \frac{1}{-3}(2) = -\frac{2}{3} $$

Step 3

$$ d_3 = 1 - \left(-\frac{2}{3}\right)^2(-3) $$ $$ = 1 + \frac{4}{3} = \frac{7}{3} $$

Since $d_2 < 0$, the matrix is indefinite.


Comparison: LDLT vs Cholesky

LDLT Cholesky
$A = L D L^T$ $A = L L^T$
No square roots Uses square roots
Works for indefinite matrices Only positive definite

Conclusion

  • If all $d_i > 0$ → Positive definite matrix
  • If some $d_i < 0$ → Indefinite matrix
  • LDLT avoids square roots

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