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A function of one variable can be translated in space by a spatial shift
to obtain a new function
Some functions obey finite linear relations between their time-frequency shifts. For instance, a sinusoid obeys the relation
Conjecture 1 (HRT conjecture) Ifis non-zero, then there is no relation of the form
for some distinct points
and some coefficients
, not all zero.
A special case of the HRT conjecture, which was also open, makes the additional assumption that was Schwartz.
Many positive results towards this conjecture were known. I will mention only a few here. There is a result of Linnell that the conjecture is true if lie in a translate of a discrete subgroup of
; this (together with an argument handling the collinear case) establishes all cases where
, and several partial results involving the
cases are also known. The conjecture is also known if
is decays at a suitably super-exponential rate, by work of Bownik and Speegle.
I was aware of this conjecture through various talks and conversations with colleagues, and even briefly tried my hand at it for a while, though not with particularly serious effort (or progress). It was thus a nice surprise to see that it has just been resolved by Faulhuber, Petersen, van Velthoven, and Voigtlaender, even in the Schwartz case:
Theorem 2 There exist complex numbers, not all zero, distinct points
, and a non-zero Schwartz function
such that
It is perhaps unsurprising in this current era that this result is AI-assisted. However, I think the authors have disclosed their AI use responsibly, with the final arguments written by hand with a readable overview of the argument, as well as proper discussion of methods, relation to past literature, and other independent numerical checks on the result.
The negative result lies only a little beyond the positive results: is now increased to
, and all but one of the points
lie in (a translate of) a discrete subgroup of
(in fact the explicit subgroup
is used). The functions constructed are smooth and rapidly decaying, but not analytic or super-exponentially decaying, which would start being in conflict with the known positive results.
In addition to AI being used to come up with the initial proof strategy, a more traditional numerical computation was used to verify one step of the argument.
I have not had the time to do a full digestion of the result, but (after reading the introduction, and using a little AI assistance of my own) I was able to understand the main ideas at a high level. The first few reductions are relatively standard. Setting and
, one can view the problem as one of solving an eigenvalue problem
How to solve this equation? The motivating scenario here is if the matrix function was replaced by a rank one function
The main remaining obstacle is that the “eigenvalue function” is varying in the parameter
rather than constant. (This issue was, by the way, anticipated to some extent in previous work of Demeter, who observed that eigenfunctions of the almost Matthieu discrete Schrödinger operator gave a near-miss counterexample to the HRT conjecture, but with an eigenvalue that depended on an auxiliary phase shift parameter rather than constant.) However, if one was able to solve the scalar cocycle equation


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