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What and Who
Title:How hard is the tensor rank?
Speaker:Yaroslav Shitov
coming from:Max-Planck-Institut für Informatik - D1
Speakers Bio:
Event Type:AG1 Mittagsseminar (own work)
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Level:AG Audience
Date, Time and Location
Date:Tuesday, 19 June 2018
Duration:30 Minutes
Building:E1 4
We present a full description of the algorithmic complexity of computing the tensor rank. Namely, computing the rank of a tensor with respect to an integral domain is polynomial time equivalent to solving a system of polynomial equations over that domain. In particular, computing the rank of a tensor over the integers is an undecidable problem. Our proof uses a reduction from the minimal rank matrix completion problem, and if time allows, we will present a related technique that lead to counterexamples to Strassen's direct sum and Comon's conjectures.
Name(s):Christian Ikenmeyer
Video Broadcast
Video Broadcast:NoTo Location:
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Attachments, File(s):
Christian Ikenmeyer, 06/11/2018 01:16 PM
Last modified:
Uwe Brahm/MPII/DE, 06/19/2018 04:01 AM
  • Christian Ikenmeyer, 06/12/2018 10:11 PM
  • Christian Ikenmeyer, 06/11/2018 01:16 PM -- Created document.