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Numerical algorithms for problems in analysis and algebra, scientific computation
6
votes
Shifted QR algorithm—why does the shift help?
This completes Polini's answer, which is perfectly right, but a bit 'elliptic'.
The QR algorithm is usually employed together with a preparation step: one puts the matrix $A$ in a unitarilly similar H …
5
votes
Accepted
Is the matrix positive definite given the Gauss-Seidel method converges?
There is an interesting though partial answer to your question:
Under your assumptions, it is not possible that the signature of $A$ be $(n-1,1)$ (exactly one negative eigenvalue).
Proof: With s …
4
votes
Accepted
Compensated compactness for system of conservation laws?
So far, only the div-curl Lemma could be used when applying compensated compactness to systems of conservation laws. But it has two flaws.
Because we only have divergences but no curls in general, w …
5
votes
Finding all roots of a polynomial
I give a course on matrix analysis, and I like to mention the following thing. It is equivalent to finding the roots of polynomials, or to finding the eigenvalues of matrices, because to a polynomial …
13
votes
Accepted
Is Gauss-Seidel guaranteed to converge on *semi* positive definite matrices?
This is an interesting question, to which the answer is positive.
Here is the proof. Of course, for the method to make sense, we must assume that the diagonal $D>0$. The notations below are borrowed …
130
votes
Why were matrix determinants once such a big deal?
I don't think that determinants is an old fashion topic. But the attitude towards them has changed along decades. Fifty years ago, one insisted on their practical calculation, by bare hands of course. …
8
votes
Applications of group theory in numerical analysis?
As far as DFT and FFT is considered as a part of Numerical Analysis, finite abelian groups apply, especially ${\mathbb Z}/2^n{\mathbb Z}$.
7
votes
"Must read" papers in numerical analysis
P. D. Lax & B. Wendroff. On the stability of difference schemes, Communications on Pure and Applied Mathematics 15, pp 363–371 (1962).
3
votes
Accepted
A sum of eigenvalues
The answer is yes, because your function (let me call it $f$) is the maximum of convex functions. As such, it is convex. The formula :
$$f(X)=\max\left(0,\max_{1\le r\le n}\sum_{j=1}^r\lambda_j(X)\rig …
8
votes
Accepted
Weyl inequalities for largest eigenvalue of matrix sum
Weyl's inequalities are not the full story. The characterization of the possible spectra of $A+B$, given the spectra of $A$ and $B$ is the object of A. Horn's conjecture. This is now a theorem, after …
19
votes
Accepted
Eigenvalues of non-symmetric matrix and its transpose
You cannot do much, for the following reason. Take any real symmetric matrix $M$. It is a consequence of the Toepliz-Hausdorff Theorem about the Numerical Range that $M$ is unitarily similar to a (sym …
2
votes
Accepted
An optimization problem in numerical linear algebra
The set of matrices $A$ is a cone, smooth away from the origin. With the Frobenius norm $\sqrt{{\rm Tr}(M^TM)}$, you can use differential calculus. The minimum is achieved at some $A$. If $A\ne0_n$, t …
2
votes
Accepted
integration of a laplacian
Since your approximate solution is piecewise linear, it is $H^1$ but not $H^2$. Therefore your calculation is impossible. You can do to things to overcome the difficulty:
Either use higher-order ele …
7
votes
Newton's Method for Finding Multiple Roots
The Newton's method has driven a lot of attention during the past decades in the community of complex analysis, because of its nice behaviour as a dynamical system. From the point of view of the appro …
1
vote
convergence of finite difference method for boundary value ODE
If the solution of the BVP is non-unique, it is likely that the solution of the discretization is non unique as well. I should bet on the following. If a solution of the BVP has the (generic) property …