Questions tagged [condition-number]
The condition number of a matrix is the ratio of the largest to the smallest singular value in the singular value decomposition of a matrix.
311 questions
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Inequality of Perturbation of Linear System [duplicate]
Problem: Let $A \in \mathbb{R}^{m \times n}$ be a nonsingular matrix. Consider the system $Ax = b$. If $b$ is perturbed by $\delta b$, suppose that the solution of the original system is perturbed by $...
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2 answers
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Condition Number of $A$
Let $A = \begin{bmatrix} 1.0000 & 2.0000\\ 1.0001 & 2.0000 \end{bmatrix}$. Suppose we wish to find $Ax = b$, where $b = (3.0000,3.0001)^T$. Instead of $x$, we obtain $x' = ...
2 votes
1 answer
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Proving the eigenvalue conditioning formula
I was reading some course and they said that given an eigenvalue $\lambda$, for a matrix A, we can consider an eigenvalue $\lambda'$ for the perturbed matrix $A+\delta A$ such that it's the nearest ...
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1 answer
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condition number of the intersection point of two lines for infinitesimal perturbations
I am given a question that we consider two lines in $\mathbb{R}^2$ given by the equations $y=0$ and $ax+y=b$, with $a,b, \in \mathbb{R}$. We are to compute the intersection point $S$ of the two lines ...
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Complex coefficient matrix with columns reflecting around imaginary axis
The question Consider a linear system of size $10 \times 10$ in the form $\mathbf{D}(\alpha) \underline{R}(\alpha) = \underline{L}(\alpha)$, with $\alpha \in [0,A]$ and $A$ being a large real number. ...
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Condition number of sum of a Hermitian positive definite and a real diagonal positive matrix
Context I am trying to investigate the (inversion) condition number of a Hermitian positive definite matrix when it is diagonally loaded, given by $$ \mathbf{M} = \mathbf{S} + \Delta \mathbf{S} \tag{1}...
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Condition number of a matrix do not increase when data is removed
If anything, it will most likely decrease. Let $A$ be a matrix with $m$ rows and $n$ columns ($m\le n$) and $\sigma_m(A)>0$. Let $A'$ be the same matrix with one row removed. Their condition ...
2 votes
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How to compute the smallest singular value of a block matrix?
I am struggling with the following problem about singular values from Golub & van Loan's Matrix Computations (4th edition): Problem 5.3.10. Let $A \in \mathbb{R}^{m \times n}$ have rank $n$, and ...
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How to minimize the condition number of a similarity transform matrix?
Let $J = Q^{-1} A Q$ be the Jordan form of $A$, where $Q$ is a similarity transform matrix. Then, how to minimize the condition number $\kappa(Q) = \|Q^{-1}\| \|Q\|$? Is it a convex optimization ...
1 vote
1 answer
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Relation between condition numbers and closenenss of inverses of two matrices
Suppose I have two matrices, $A, B \in \mathbb R^{n \times n}$, both of which are invertible. Suppose that $A$ and $B$ are $\varepsilon$-close in the spectral norm, i.e. $||A - B||_2 < \varepsilon$....
2 votes
1 answer
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The set of all continuously differentiable functions with a constant relative condition number
Let $\gamma \in \mathbb N \setminus \{0\}$. I want to find the set of all continuously differentiable functions $f:\mathbb R \to \mathbb R$ such that $f$'s local relative condition number, $\kappa(x)$ ...
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Condition number of an eigenvalue problem
What is the condition number for an eigenvalue of a generalized Hermitian Eigenvalue problem? So consider the given Generalized Eigenvalue problem \begin{equation} HX=SX\Lambda \end{equation} where $H ...
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1 answer
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Prove That the Condition Number of A is Greater Than or Equal to the Condition Number of D in the LDL^T Decomposition
Let $A$ be a symmetric positive definite matrix with an $LDL^T$ decomposition: $$A = L D L^T,$$ where $L$ is a unit lower triangular matrix, $D$ is a diagonal matrix. I would like to prove that the ...
-1 votes
1 answer
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Prove that $\operatorname{cond}(f ) = \|A^{−1}\|\|A\|.$ [closed]
Question: I am trying to prove that the condition number of a function $ f(x) = Ax $, where A $\in R^{m\times n}$ and $x \in R^{n\times 1}$ , is given by: $$ \text{cond}(f) = \|A^{-1}\|\|A\| $$ The ...
2 votes
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Matrix norm and eigen values
Let $A$ and $B$ be $n \times n$ matrices with $n$ distinct eigenvalues $\lambda_1, \ldots, \lambda_n$ and $\mu_1, \ldots, \mu_n$, respectively. Is it possible to estimate the difference $|\lambda_i - \...