If A is symmetric, its LDU decomposition is symmetric, i.e.
$$\mathbf{L={U}^{T}}$$ | (74) |
and
$$\mathbf{U={L}^{T}}$$ | (75) |
For this reason, the LDU decomposition of a symmetric matrix is sometimes referred to as an LDLT decomposition. The elements L and U of the LDU decomposition of a symmetric matrix are related as follows.
$$l_{ij}=u_{ji},\mbox{ where }i\neq j$$ | (76) |