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bio website wisdom.weizmann.ac.il/…
location Israel
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visits member for 1 year, 11 months
seen Apr 13 at 13:06

Jan
22
revised Determinant of $V^* V$ where $V$ is rectangular Vandermonde matrix with nodes on unit circle
Typo
Jan
22
comment Determinant of $V^* V$ where $V$ is rectangular Vandermonde matrix with nodes on unit circle
Benjamin, thanks for the reference to Cauchy-Binet. However it does not seem to be helpful straight away. First notice that $N>k$ and thus the maximal minors would be $k\times k$. Second, these minors are definitely NOT the usual Vandermonde because they would involve non-consecutive powers of the $z$ variables. For instance, if $k=3$ and $N>5$ then there would be the minor $$\begin{pmatrix} z_1 & z_2 & z_3\\ z_1^3 & z_2^3 & z_3^3\\z_1^4 & z_2^4 & z_3^4 \end{pmatrix}.$$
Jan
22
revised Determinant of $V^* V$ where $V$ is rectangular Vandermonde matrix with nodes on unit circle
tag added
Jan
22
asked Determinant of $V^* V$ where $V$ is rectangular Vandermonde matrix with nodes on unit circle
May
24
awarded  Yearling
Apr
4
accepted Constructing a linear ODE for a product of two holonomic functions without introducing additional singularities
Apr
4
comment Constructing a linear ODE for a product of two holonomic functions without introducing additional singularities
Thanks Manuel! That kind of things is exactly what I needed.
Mar
31
comment Constructing a linear ODE for a product of two holonomic functions without introducing additional singularities
Since my German is nonexistent, could you please pinpoint the location in the paper where they talk about the case of one singular point? Also, I couldn't figure out if they always assume that the solutions of the ODEs are entire functions...
Mar
31
revised Constructing a linear ODE for a product of two holonomic functions without introducing additional singularities
spelling mistake
Mar
29
asked Constructing a linear ODE for a product of two holonomic functions without introducing additional singularities
Dec
5
accepted Smallest Lipschitz constant on non-convex domains
Dec
5
comment Smallest Lipschitz constant on non-convex domains
Of course, should have figured this out myself. Thanks!
Dec
5
asked Smallest Lipschitz constant on non-convex domains
Dec
4
awarded  Critic
Dec
3
awarded  Commentator
Dec
3
comment Approximation power of wavelets
OK, this is nice, thanks. I would really like to know, though, what happens for $d\geqslant 2$...
Dec
3
revised Approximation power of wavelets
added 75 characters in body
Dec
3
comment Approximation power of wavelets
+1 for the link. Still, this is for me very confusing. What if I want to approximate the function with accuracy $\epsilon$, how large should I take $k$ to be? Consequently, how many wavelet coefficients are needed?
Dec
3
revised Approximation power of wavelets
added 76 characters in body
Dec
3
revised Norm of inverse confluent Vandermonde matrix
retagged