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Jul 20 at 21:25 comment added fedja @Noel Sure. Whatever I post on MO is free for everybody to use in any way, no special permission required :-)
Jul 20 at 20:01 comment added Noel Hello again @fedja, I am using this fact in a proof in my paper. I would like to include your proof. I think it's a nice technique and people in the quantum community would benefit from it. Let me know if this is okay. This is how it's currently written (attribution is red)- drive.proton.me/urls/KJXWX0T9QW#oV0DwK4fkGBA
Sep 21, 2023 at 18:31 comment added fedja @Noel Each diagonal sum ($m=k-\ell$ with fixed $\ell=1,\dots,K$) is bounded by $\Sigma_1$ by Cauchy-Schwarz: $|\langle Bx_{k-\ell},x_k\rangle|\le \frac 12[\langle Bx_{k-\ell}, x_{k-\ell}\rangle+\langle Bx_k, x_k\rangle]$ ($B$ is positive definite).
Sep 21, 2023 at 18:10 comment added Noel Hi again @fedja, what exactly did you have in mind when you said that you can bound $\Sigma_2 \leq 2K \Sigma_1$ because I was writing this out for myself and I can only do something $O(K^2)$
Aug 1, 2023 at 23:28 history edited Michael CC BY-SA 4.0
Removed an unnecessary comment.
Aug 1, 2023 at 15:24 comment added fedja @Noel 1) Just cite MO; they need citations more than I do :lol: 2) Yes, this technique of "geometric stairway decomposition" (the name is mine, I'm not sure what it is officially called, if anything) is pretty standard in analysis though I haven't seen it applied in linear algebra much. The key is that the "short support" functions/sequences cannot interact much with the "long support" ones (what that means depends on the context), so you can localize to same size entries, which often makes life simpler. I picked the idea from Bourgain's paper on $\Lambda(p)$-sets, but it is quite ubiquitous.
S Aug 1, 2023 at 15:14 history edited fedja CC BY-SA 4.0
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S Aug 1, 2023 at 15:14 history suggested Noel CC BY-SA 4.0
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Aug 1, 2023 at 15:00 comment added Noel Thank you, this is great. This answer is still pretty non-trivial to me and those who work with me. I do remember looking at this vector space decomposition but obviously could not go too far. I have two soft questions: 1. if I use this result in my research, how would you like to be cited (you can dm me). 2. if you do indeed think this is a simple problem, has a similar technique been used before and if so where?
Aug 1, 2023 at 14:51 vote accept Noel
Aug 1, 2023 at 14:50 review Suggested edits
S Aug 1, 2023 at 15:14
Jul 30, 2023 at 16:49 history edited fedja CC BY-SA 4.0
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Jul 30, 2023 at 16:34 history edited fedja CC BY-SA 4.0
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Jul 30, 2023 at 15:57 history answered fedja CC BY-SA 4.0