Skip to main content

Questions tagged [matrix-decomposition]

Questions about matrix decompositions, such as the LU, Cholesky, SVD (Singular value decomposition) and eigenvalue-eigenvector decomposition.

8 votes
3 answers
23k views

How to calculate the cost of Cholesky decomposition?

The cost of Cholesky decomposition is $n^3/3$ flops (A is a $n \times n$ matrix). Could anyone show me some steps to get this number? Thank you very much.
ldo's user avatar
  • 81
10 votes
1 answer
523 views

Matrix factorization

I'd like to factorize matrices as follows: $$ \left(\begin{array}{cc}X_1&X_2\\X_3&X_4\end{array}\right) = \left(\begin{array}{cc}D_1&D_2\\D_3&D_4\end{array}\right)\left(\begin{array}{...
tibL's user avatar
  • 2,160
10 votes
2 answers
14k views

Proof of uniqueness of LU factorization

The first question: what is the proof that LU factorization of matrix is unique? Or am I mistaken? The second question is, how can theentries of L below the main diagonal be obtained from the matrix $...
Tashima Sasaki's user avatar
6 votes
1 answer
2k views

Triangularizing a Matrix

In Hoffman & Kunze, it is mentioned several times that any matrix with a minimal polynomial that splits over your field into linear factors is similar to an upper triangular matrix. A proof is ...
squiggles's user avatar
  • 1,903
5 votes
2 answers
5k views

Block-diagonalizing an antisymmetric matrix

I was wondering how to block-diagonalize a $10 \times 10$ antisymmetric matrix into block matrices along the diagonal. Can I just diagonalize each non-diagonal block? Thanks!
user34801's user avatar
  • 341
2 votes
1 answer
681 views

Cholesky decomposition for sparse matrix

I have a symmetric positive definite matrix that is composed of small block diagonal matrices. For example: $$ M = \left[ \begin{array}{ccc} \Sigma & \Psi & \Psi \\ \Psi & \Sigma & \...
Bin's user avatar
  • 21
34 votes
1 answer
29k views

Computing the Smith Normal Form

Let $A_R$ be the finitely generated abelian group, determined by the relation-matrix $$R := \begin{bmatrix} -6 & 111 & -36 & 6\\ 5 & -672 & 210 & 74\\ 0 & -255 &...
Euden's user avatar
  • 551
5 votes
1 answer
2k views

Singular Value Decomposition for zero-diagonal symmetric matrix

Let's say a zero-diagonal $4\times4$ symmetric matrix, $$ \begin{bmatrix} 0 & 1 & 3 & 3 \\ 1 & 0 & 3 & 3 \\ 3 & 3 & 0 & 1 \\ 3 & 3 & 1 & 0 \end{...
Elisha's user avatar
  • 51
6 votes
1 answer
20k views

Can QR decomposition be used for matrix inversion?

Is there any simple algorithm for matrix inversion (that can be implemented using C/C++)? Can QR decomposition be used for matrix inversion? How?
Yan Raf's user avatar
  • 71
27 votes
4 answers
11k views

Is it true that any matrix can be decomposed into product of rotation, reflection, shear, scaling and projection matrices?

It seems to me that any linear transformation in ${\Bbb R}^{n \times m}$ is just a series of applications of rotation — actually i think any rotation can be achieved by applying two reflections, but ...
Sunny88's user avatar
  • 1,079
2 votes
2 answers
8k views

Triangularization of real matrices

Let $A = [a_{ij}] \in \mathbb{K}^{n \times n}$, where $\mathbb{K} = \mathbb{R}$ or $\mathbb{K} = \mathbb{C}$. In the case $\mathbb{K} = \mathbb{C}$, for example, via the Jordan decomposition ...
Richard's user avatar
  • 4,462
4 votes
3 answers
4k views

Modified Cholesky factorization and retrieving the usual LT matrix

I have been looking at the modified Cholesky decomposition suggested by the following paper: Schnabel and Eskow, A Revised Modified Cholesky Factorization Algorithm, SIAM J. Optim. 9, pp. 1135-1148 (...
Samik R's user avatar
  • 263
26 votes
8 answers
26k views

Relation between Cholesky and SVD

When we have a symmetric matrix $A = LL^*$, we can obtain L using Cholesky decomposition of $A$ ($L^*$ is $L$ transposed). Can anyone tell me how we can get this same $L$ using SVD or Eigen ...
Gatsu's user avatar
  • 325

15 30 50 per page
1
177 178 179 180
181