Submatrices with the best-bounded inverses: revisiting the hypothesis

03/13/2023
∙
by   Yuri Nesterenko, et al.
∙
0
∙

The following hypothesis was put forward by Goreinov, Tyrtyshnikov and Zamarashkin in <cit.>. For arbitrary semi-orthogonal n × k matrix a sufficiently "good" k × k submatrix exists. "Good" in the sense of having a bounded spectral norm of its inverse. The hypothesis says that for arbitrary k = 1, …, n-1 the sharp upper bound is √(n). Supported by numerical experiments, the problem remains open for all non-trivial cases (1 < k < n-1). In this paper, we will give the proof for the simplest of them (n = 4, k = 2).

READ FULL TEXT

Please sign up or login with your details

Continue with:
Or login with email
Enter Password
Re-enter Password

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×
Pro

Consider DeepAI Pro

Subscribe to DeepAI Pro
DeepAI Pro
Provides a limited generation allowance each month. When exceeded, you are charged overage rates available at deepai.org/pricing. Also includes an ad-free experience and API access. Renews automatically until canceled. Non-refundable.
Subtotal
Total due today

Payment

Add DeepAI credits
DeepAI credits
One-time purchase. Credits are added to your wallet after payment.
Subtotal
Total due today

Payment