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Questions tagged [numerical-linear-algebra]

{numerical-linear-algebra} questions involving algorithms for linear algebra computations.

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22 votes
0 answers
445 views

Why does the random shift in the QR eigenvalue algorithm work in the non-symmetric case over the complex field

I tried to implement the QR algorithm for non-symmetric matrices with complex entries to show to my students. The main part of the implementation was standard: the Householder reduction to the ...
fedja's user avatar
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13 votes
0 answers
591 views

What are the difficulties in proving almost-everywhere stability of Gaussian elimination?

It is well known that Gaussian elimination without pivoting is numerically unstable, and in practice Gaussian elimination is done with row pivoting (partial pivoting). A theorem of Wilkinson states ...
Christopher A. Wong's user avatar
11 votes
0 answers
764 views

Fast computation of matrix product $AXA^T$ with fixed $A$?

Suppose we have two $n$-by-$n$ matrices $X$ and $A$, where $A$ is known and $X$ may change in different invocations, and we want to compute $AXA^T$. Is there an algorithm that beats the naive one of ...
hao chen's user avatar
11 votes
1 answer
2k views

Quantifying the failure of the Cholesky factorization test for indefinite matrices

The Cholesky factorization is the classic test to check if a matrix is positive definite. In infinite precision it is also an exact test: A matrix has a Cholesky factorization iff it is positive ...
alext87's user avatar
  • 3,217
8 votes
0 answers
481 views

Problems where Conjugate gradient works much better than GMRES

I am interested in cases where Conjugate gradient works much better than GMRES method. In general, CG is preferable choice in many cases of SPD because it requires less storage and theoretical bound ...
arbitUser1401's user avatar
7 votes
0 answers
116 views

Are there attempts to numerically finding algebraic structures over finite-dimensional vector spaces?

By "algebraic structure" I mean a finite set of linear operators between tensor products of copies of one (or more) finite-dimensional (complex or real) vector spaces, fulfilling a set of ...
Andi Bauer's user avatar
  • 3,001
7 votes
0 answers
197 views

A special eigenvalue problem

For my research I need to solve a generalised eigenvalue problem $Ax=\lambda B x$, where $A$, $B$ are general matrices, and selectively find only eigen-pairs $\lambda, x$ such that $\lambda\in \mathbb{...
yarchik's user avatar
  • 492
7 votes
0 answers
120 views

How do I find elements of an algebra which generate an algebra contained in a fixed subspace?

Suppose $V$ is a linear subspace of a finite dimensional $C^*$-algebra $A$. (Feel free to assume $A$ is a multi-matrix algebra over $\mathbb C$.) I would like to find $x \in V$ such that $\mathbb C [...
Kim Morrison's user avatar
  • 7,800
6 votes
0 answers
141 views

Algorithm to check a conjectural value for the rank of a large matrix

Feel free to suggest a different title, I'm not sure how to phrase this. I'm in the following somewhat specific situation: I'm checking a conjecture which at the end of the day boils down to the ...
Adrien's user avatar
  • 8,524
5 votes
0 answers
202 views

Difficulty of solving $Ax=b$ in terms of limiting spectral density of $A$?

Suppose $A$ is a random real-valued $n\times n$ matrix and we want to know the difficulty of solving $Ax=b$ when entries of $b$ are sampled IID from Normal$(0,1)$. Can we say anything about the ...
Yaroslav Bulatov's user avatar
5 votes
0 answers
392 views

Preconditioner for finding the smallest eigenpairs of a large, but structured, matrix

I'm trying to find the eigenvector corresponding to the second smallest eigenvalue of a large $(4,000,000 \times 4,000,000)$ matrix $L$. $L$ is a graph Laplacian, with the following structure: $L = D -...
Jeff's user avatar
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5 votes
0 answers
112 views

Inverses of the sums of all possible subsets of a set of symmetric and positive definite matrices

I have a set of $c$ matrices $A_1 ... A_c$ which are all symmetric and positive definite. I would like to calculate the inverses of all the possible sums, i.e. $(A_1+A_2)^{-1},(A_1+A_3)^{-1},(A_2+A_3)...
Tzonathan's user avatar
5 votes
0 answers
160 views

reference for perturbation of projection result

Let $A$ and $B$ have the same rank and dimensions. If $P_A$ denotes the projection onto the range space of $A$, then $$ \|P_A - P_B\|_2 \leq \|A - B\| \cdot \min (\|A^\dagger\|_2, \|B^\dagger\|_2). $$ ...
AatG's user avatar
  • 922
5 votes
1 answer
124 views

Is Sun's spectral variation bound for normal matrices optimal?

In On the variation of the spectrum of a normal matrix, Sun proves the following result (Corollary 1.2): Let $A$ be an $n$-square normal matrix and $B$ an arbitrary $n$-square matrix. Then $$ \min_{\...
eepperly16's user avatar
4 votes
0 answers
82 views

Is there a fast way to compute the lowest eigenvalue of this symmetric PD matrix in this specific scenario?

Consider $$C = A^H D A + M$$ where $A$ is a $m \times m$ unitary matrix. $D$ is a $m \times m$ diagonal matrix with entries either $0$ or $1$. The number of $1$'s is $n \ll m$. $M$ is a $m \times ...
Rajesh D's user avatar
  • 698
4 votes
0 answers
539 views

Using Linear Programming as an iterative procedure

Suppose, we have a linear program and an optimal solution to it. Suppose now, we get a new constraint. We want to obtain an optimal solution to the given linear program extended by that new constraint....
D. Rusin's user avatar
  • 391
4 votes
0 answers
957 views

Generate non-negative linear combinations of non-negative vectors with different supports

(I will not be surprised if this problem has been solved and/or has a trivial solution – I just do not know the right terminology to google for it.) So the problem is as follows. I have an $m \...
Yauhen Yakimenka's user avatar
4 votes
0 answers
149 views

Zero diagonal nonsymmetric block checkerboard matrix: orbits and numerical ranges

Let $A \in \mathbb{R}^{m \times m}$ be a nonsymmetric zero diagonal matrix with a zero/non-zero pattern which is symmetric and persymmetric (i.e. symmetric in the northeast-to-southwest diagonal). If ...
Astor's user avatar
  • 323
4 votes
0 answers
2k views

What is the time complexity of the largest singular value and its vectors?

Full zero-error SVD on an $m \times n$ matrix $A$ would cost $O(\min(m^2n,mn^2))$. What is the time complexity if we need only the largest singular value and its corresponding vectors? I think it is $...
B. Arsic's user avatar
  • 123
4 votes
0 answers
578 views

Determining whether a Schur complement is invertible

Consider the symmetric matrix $$M = \begin{bmatrix} A & B \\ B^T & -C \end{bmatrix}$$ where $A \in \cal{R}^{n \times n}$ and $C \in \cal{R}^{m\times m}$ are symmetric, ...
berkin's user avatar
  • 41
4 votes
0 answers
233 views

Determining Nullspace Basis such that only one column is deleted or added as row is added or deleted, and remaining columns of basis stay the same

I would like to compute, in MATLAB, the basis Z for the nullspace of an m by n matrix A, such that if one row of A is added (resulting in A_a), the basis for A_a is n-m-1 of the n-m columns of Z, i.e.,...
Mark L. Stone's user avatar
4 votes
0 answers
381 views

Efficiently factorize a KKT system with block diagonal upper corner

I have a system resulting from a quadratic energy minimization with linear equality constraints enforced with Lagrange multipliers which has the form: \begin{equation} A = \left[\begin{array}{c|c} \...
Alec Jacobson's user avatar
3 votes
0 answers
259 views

Efficient way to calculate Smith Normal Form of large integer matrices

I am interested in calculating the Smith Normal Form for Laplacian matrices of hypercube graphs. Using the elementary divisors method from SAGE, I was able calculate up to the 11-cube (which has a $2^{...
presidentediniente's user avatar
3 votes
0 answers
374 views

efficient numerical algorithm for matrix determinant

It appears that in numerical analysis the question of computing the determinant $\det A$ of a real or a complex $n\times n$ matrix $A$ is not well-studied, and a usual recommendation is to use matrix ...
Dima Pasechnik's user avatar
3 votes
0 answers
173 views

Can the Jordan decomposition of a matrix be computed in a backwards stable way?

Let $PJP^{-1}$ denote the Jordan decomposition of $M$. The matrix $J$ is a direct sum of Jordan blocks; it is unique up to permutation of the Jordan blocks. The matrix $P$ is not unique. There are two ...
wlad's user avatar
  • 4,943
3 votes
0 answers
122 views

Preconditioners for $Ax=y$ that rely on hierarchical statistical modeling

Solving $Ax=y$ exactly can be done as: fit a linear autoregressive model by treating rows of $A$ as data apply this model to $A^T y$ Imperfect predictive model corresponds to an approximate inverse ...
Yaroslav Bulatov's user avatar
3 votes
0 answers
147 views

Convolution integral and its matrix representation

My background is chemistry and I was exploring some one dimensional deconvolution problems i.e., resolution of two or more overlapping peaks. A lot of excellent work was done in the 1970-80s. However, ...
ACR's user avatar
  • 879
3 votes
0 answers
95 views

Sparse perturbation

Let $x, x_0\in\mathbb{R}^n$ be two vectors satisfying $$\frac{\|x\|_1}{\|x\|_2}\leq\frac{\|x_0\|_1}{\|x_0\|_2}.$$ $\| \cdot\|_1$ and $\| \cdot\|_2$ are the $\ell_1$ and $\ell_2$ norm in $\mathbb{R}^n$,...
Yiming Xu's user avatar
3 votes
0 answers
243 views

An inequality concerning the solution of a Lyapunov equation

Let $A$ be an Hurwitz stable matrix (i.e. the real part of the eigenvalues of $A$ lie in the left-half plane) and $Q$ be a positive semidefinite matrix ($Q\ge 0$, for short). Let $P>0$ be the ...
Ludwig's user avatar
  • 2,712
3 votes
0 answers
60 views

Quasi-M matrices?

Does any body know a reference on lower triangular matrices with negative entries everywhere except for the diagonal and subdiagonal where entries are positive (when all entries are negative with ...
user3429697's user avatar
3 votes
0 answers
256 views

What would be a better method for numerical diagonalization of a certain Vandermonde-like matrix?

For the fractional iteration of the $\exp()$-function Hellmuth Kneser had 1942 proposed an analytic solution valid on the real numbers; there is a technical implementation for Pari/GP of this method ...
Gottfried Helms's user avatar
3 votes
0 answers
130 views

Computing the norm of the columns of an implicitly defined matrix

I have an $n \times n$ matrix $M = \Sigma W$ where $\Sigma$ is diagonal and $W$ orthogonal. $W$ is implicitly defined, i.e. I can only perform matrix-vector products (but I also have access to $W^T$). ...
Giuseppe Ottaviano's user avatar
3 votes
0 answers
220 views

Could SVD be used to optimize the partial inner-products?

Suppose a set $N$ of $n$ distinct points in $m-$dimensional space is given in $X\in\mathbb{R}^{n\times m}$. Also, suppose a subset $L\subset N$, $|L|=l<m<n$, with $m-$dimensional coordinates in ...
usero's user avatar
  • 131
3 votes
0 answers
1k views

How many iterations are required for the Lanczos algorithm to converge?

I am trying to find the n smallest eigenvalues and eigenvectors of a NxN SPD matrix using Lanczos method. What is the number of iterations usually required? I mean, does it scale as $O(N)$ or $O(\sqrt{...
user21969's user avatar
2 votes
0 answers
67 views

Characteristics of conjugate gradients' iterations for a matrix with clustered spectrum

I am interested in solving \begin{equation} Ax = b \end{equation} for a large sparse linear symmetric positive definite matrix $A$ by Conjugate Gradients method. (These systems usually come as ...
Korf's user avatar
  • 121
2 votes
0 answers
27 views

Solve sparse system with nested inverse

What is the most efficient way to solve an equation \begin{align*} (A\,E^{-1}\,C) x = b, \qquad A\in \mathbb{R}^{m\times n}, \, E \in \mathbb{R}^{n\times n}, \, C\in \mathbb{R}^{n\times m} \end{align*}...
Bjornson's user avatar
2 votes
0 answers
121 views

Proving some properties of the Landweber–Fridman iterates

$\newcommand\norm[1]{\lVert#1\rVert}$Let $B\in \mathbb R^{n\times n}$ be a symmetric and positive definite matrix. Assume that $x\in \mathbb R^n$ is the solution of $Bx=w$ for some given $w\in \mathbb ...
user1067171's user avatar
2 votes
0 answers
194 views

Maximize the product of Hadamard matrix and a vector

Let $X$ be an $n \times n$ Hadamard matrix (i.e. entries are in $\{-1,1\}$ and rows are orthogonal). For my application, we can assume $n=2^k$. Given a vector $\bf{w} \in R^n$, I want to find the $X^*$...
EVAN YANG's user avatar
2 votes
0 answers
75 views

Dense matrix vs sparse matrix, when they have same number of nonzero elements

I came across a new way in the literature to solve PDE problems numerically, which is called 'Patch Reconstruction'. One example paper is: Li, R., Sun, Z., Yang, F., & Yang, Z. (2019). A finite ...
陳Keefe's user avatar
2 votes
0 answers
47 views

Transforming a symmetric matrix into pentadiagonal form

Given a symmetric matrix $A$, which has complex values in the diagonal, but whose all other entries are real, I am interested in finding an orthonormal transformation $Q$ such that $Q^tAQ$ is a ...
Qwertuy's user avatar
  • 251
2 votes
0 answers
616 views

block diagonal approximation of (SPD) matrix

I am interested in approximating a symmetric matrix in a block diagonal form, i.e. compute just some entries of the matrix located in blocks around the diagonal. Are there any theoretical guarantees ...
Foivos's user avatar
  • 335
2 votes
1 answer
301 views

Best approximation with tensors of rank $\ge2$

Let $k\in\mathbb N$, $H_i$ be a (finite-dimensional, if necessary) $\mathbb R$-Hilbert space for $i\in I:=\{1,\ldots,k\}$, $H:=\bigotimes_{i\in I}H_i$ denote the tensor product$^1$ of $(H_i)_{i\in I}$ ...
0xbadf00d's user avatar
  • 167
2 votes
0 answers
52 views

Large-scale projected minimum-eigenvalue computations

I am interested in efficient numerical procedures for solving large-scale instances of the following projected minimum-eigenvalue problem: $$\mu := \min_{v \in \mbox{ker}(A)} \frac{v^T H v}{\lVert v \...
David Rosen's user avatar
2 votes
0 answers
33 views

Discrete maximum priniciple for parabolic operators

While reading a paper on the topic 'Numerical solutions for generalized Black-Scholes equation', It is given that their numerical scheme can be executed explicitly by solving a linear system $\mathbf ...
RIYASUDHEEN TK's user avatar
2 votes
0 answers
43 views

Partitioning $n$-space based on linear combinations

I'm trying to figure out the approximate number of areas the positive $n$-space will be divided into if we partition it as follows: we have $k$ linear functions $F_1$, $F_2$, ..., $F_k$ on $n$ ...
wfe2016's user avatar
  • 21
2 votes
0 answers
112 views

Coarse grid correction

Let $A_h \in \mathbb{R}^{n \times n}$ be the matrix corresponding to a finite element discretization of some nonselfadjoint, bounded and indefinite bilinear form corresponding to a second order ...
Astor's user avatar
  • 323
2 votes
0 answers
1k views

Condition number of the product of two matrices

Consider two matrices $A$ and $B$ that are non-square in general and may not be full rank. Assuming their shapes are such that the product $A\cdot B$ is well-defined, what is the relationship between ...
glwhart's user avatar
  • 171
2 votes
0 answers
272 views

Difficult integral - speed up numerical integration using a trick?

I have the following integral that I need to solve (with high precision) millions of times in my simulations. This is time consuming and is prohibiting me from proceeding from proceeding forward. I ...
Tom Steiglitz's user avatar
2 votes
1 answer
275 views

Computing 3-term connection coefficients for wavelets

I am trying to calculate the three-term connection coefficients $$ Λ_{l,m}^{d_1,d_2,d_3} = \int_{-\infty}^\infty \varphi^{(d_1)}(x) \varphi^{(d_2)}_l(x) \varphi^{(d_3)}_m(x) dx $$ for Daubechies ...
J. Doe's user avatar
  • 31
2 votes
0 answers
131 views

SVD when only off-diagonal terms are known

I have a real matrix $A \in \mathbb{R}^{n\times n}$ such that: $A$ is symmetric All the off-diagonal terms are known and positive Has rank $k<n$ Unfortunately I don't know the values of the ...
Ulderique Demoitre's user avatar