Fuglede's conjecture fails in 4 dimensions over odd prime fields
Samuel Ferguson, Nat Sothanaphan

TL;DR
This paper disproves Fuglede's conjecture in four-dimensional vector spaces over odd prime fields using log-Hadamard matrices, provides proofs for some cases, and verifies the conjecture in others through computational methods.
Contribution
The authors extend known counterexamples to four dimensions over odd primes and prove the conjecture in four dimensions over the field with two elements, using novel methods and computational verification.
Findings
Fuglede's conjecture fails in $ ext{Z}_p^4$ for all odd primes p.
The conjecture holds in $ ext{Z}_2^4$, resolving all four-dimensional cases over prime fields.
Computational verification shows the conjecture holds in $ ext{Z}_2^5$ and $ ext{Z}_2^6$, but fails in $ ext{Z}_2^{10}$.
Abstract
Fuglede's conjecture in , a prime, says that a subset tiles by translation if and only if is spectral, meaning any complex-valued function on can be written as a linear combination of characters orthogonal with respect to . We disprove Fuglede's conjecture in for all odd primes , by using log-Hadamard matrices to exhibit spectral sets of size which do not tile, extending the result of Aten et al. that the conjecture fails in for primes and in for all odd primes . We show, however, that our method does not extend to . We also prove the conjecture in , resolving all cases of four-dimensional vector spaces over prime fields. Our simple proof method does not extend to higher dimensions. The…
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Fuglede’s conjecture fails in 4 dimensions over odd prime fields
Samuel J. Ferguson
Courant Institute of Mathematical Sciences
New York University
251 Mercer St.
New York, NY 10012, USA
and
Nat Sothanaphan
Courant Institute of Mathematical Sciences
New York University
251 Mercer St.
New York, NY 10012, USA
Abstract.
Fuglede’s conjecture in , a prime, says that a subset tiles by translation if and only if is spectral, meaning any complex-valued function on can be written as a linear combination of characters orthogonal with respect to . We disprove Fuglede’s conjecture in for all odd primes , by using log-Hadamard matrices to exhibit spectral sets of size which do not tile, extending the result of Aten et al. [1] that the conjecture fails in for primes and in for all odd primes . We show, however, that our method does not extend to . We also prove the conjecture in , resolving all cases of four-dimensional vector spaces over prime fields. Our simple proof method does not extend to higher dimensions. The authors, however, have written a computer program to verify that the conjecture holds in and . Finally, we modify Terry Tao’s [18] counterexample to show that the conjecture fails in . Fuglede’s conjecture in is now resolved in all cases except when and , or when and .
Keywords: 43A70; Fuglede’s conjecture; tiling; spectral set; prime field; log-Hadamard matrix
1. Introduction
In this paper, we attempt to resolve Fuglede’s conjecture for all finite-dimensional vector spaces over prime fields of dimensions , and we succeed except for vector spaces over the field of dimensions .
We briefly review Fuglede’s conjecture [6, p. 119] in its original context of . Throughout this paragraph, let denote a measurable subset of of finite, positive Lebesgue measure. We call a spectral set if the Hilbert space has an orthogonal basis of complex exponentials , for some exponent set . On the other hand, we say that tiles by translation if there exists a translation set such that differs from by a set of measure zero and, for all distinct , is of measure zero. Fuglede’s conjecture states that is a spectral set if and only if tiles by translation.
Fuglede originally stated his conjecture as an attempt to provide a more explicit description of his solution to a problem Segal posed in 1958 which, according to Jorgensen [8], arose from the work of von Neumann on the foundations of quantum mechanics. Essentially, Segal asked for a characterization of the domains of finite Lebesgue measure such that there exist, on , commuting self-adjoint restrictions of the operators . Under a technical condition on that was later removed by Pedersen [13], Fuglede proved that a domain of finite measure has the above property if and only if is a spectral set, in which case each exponent set gives rise to unique commuting restrictions which have as their joint spectrum. Thus an exponent set is also called a spectrum for , and hence the term “spectral set.” Fuglede then formed the conjecture that spectral sets are precisely the sets that tile by translation, a more explicit, geometric condition.
We are interested in Fuglede’s conjecture in , a prime. Already in his paper [6, p. 120], Fuglede considered spectral and tiling sets in cyclic groups as a way of testing the likelihood of his conjecture, and pointed out that the notions of spectral and tiling sets have extensions to locally compact abelian groups. Restricting our attention to , we say that a nonempty subset of tiles if there exists a subset of such that and, for each distinct , . For finite abelian groups , the role played by complex exponentials in is performed by group homomorphisms . In particular, it is well known that for , the set of all such homomorphisms is given by , where for and in . We define a nonempty subset of to be spectral if there exists a subset of such that forms an orthogonal basis for . The latter is defined to be the -dimensional vector space of all functions , equipped with the inner product for . Fuglede’s conjecture states that a nonempty subset tiles if and only if it is a spectral set.
In 2004, Tao [18] disproved Fuglede’s conjecture in for when and for when . He then lifted his counterexamples to disprove Fuglede’s conjecture in for , thereby raising interest in the conjecture for . Could counterexamples in be given for lower dimensions, thereby disproving Fuglede’s conjecture in for ? Iosevich, Mayeli, and Pakianathan [7] partially answered this question in the negative by proving the conjecture true in for all primes when . An alternate proof was given recently by Kiss, Malikiosis, Somlai, and Vizer [9], and their proof utilizes the classical result of Rédei [14], popularized by Szőnyi [17], that if a nonempty set tiles, then either the set or its translation set must be a coset of a subgroup when . The conjecture in remains unresolved for , but it has been disproved for by Farkas, Kolountzakis, Matolcsi, Móra, and Révész [3, 4, 10, 11, 12]. The counterexamples for use groups of the form with composite.
More recently, Aten et al. [1] disproved Fuglede’s conjecture for all odd primes when , and for all primes when . They also proved it true for when . Recently, Fallon, Mayeli and Villano [2] extended this result by proving the conjecture for when . Fallon has considered taking the topic of Fuglede’s conjecture for for his doctoral dissertation, and for this reason we do not consider here.
The conjecture for when , when , and for , were not resolved by [1, 2, 3, 4, 7, 10, 11, 12, 18]. In this paper, we modify the counterexample that Aten et al. [1] used to disprove the conjecture in for primes . We thereby obtain counterexamples for all primes . This settles the status of the conjecture in for odd primes , as stated below in our main result.
Theorem 1.1**.**
Fuglede’s conjecture fails in for all odd primes .
Nevertheless, our counterexample does not work when . In that case, we prove the conjecture true for and give a modification of Tao’s [18] counterexample to disprove it in the case . We also show that the simple method of proof used for fails to give a proof for . However, the authors have written a computer program to verify that the conjecture indeed holds in and . The link to the computer program is:
https://github.com/natso26/FugledeZ_2-d.
The program consists of two parts. A complete explanation and justification that running both parts is sufficient to verify Fuglede’s conjecture for and is provided in an addendum [5].
We remark that checking whether a set tiles or is spectral using a computer is difficult because there may be no efficient algorithm for it. The authors of [10] partially analyzed the computational complexity of the task and showed that a related problem is NP-complete. It is computationally infeasible for us to run the program in the case where and , and so the conjecture in this case remains open.
We state our conclusions as follows.
Theorem 1.2**.**
Fuglede’s conjecture holds in when and fails in when .
We summarize the status of Fuglede’s conjecture in as follows.
- •
. True for all primes .
- •
. True for and unresolved for .
- •
. True for and false for .
- •
. Unresolved for and false for .
- •
. False for all primes .
For , Aten et al. [1, Thm. 1.1(g)] proved the “tiling implies spectral” direction of the conjecture, so only the “spectral implies tiling” direction remains. Our work disproves only the “spectral implies tiling” direction of the conjecture in for when is odd, and in for . The “tiling implies spectral” direction in these cases remains open.
We review the counterexample of Aten et al. [1] in Section 2 and present our counterexample in Section 3, proving Theorem 1.1. In Section 4, we prove Proposition 4.3, which shows that our counterexample cannot be improved and shows the underlying reason why it works. This proposition also justifies the approach taken by our computer program. In Section 5, we prove Theorem 1.2 and state two conjectures relevant to when .
2. The Original Counterexample
We first describe the counterexample used by Aten et al. [1, Sec. 8]. Let be a prime.
Definition 2.1**.**
A vector with entries in is called equidistributed if each of the values appears an equal number of times as entries of . Note that the dimension of must be a multiple of for this to occur.
Aten et al. [1] refer to an equidistributed vector as a balanced vector.
Definition 2.2**.**
A square matrix with entries in is called log-Hadamard if the difference of any two distinct rows is an equidistributed vector.
While we do not consider log-Hadamard matrices over with composite here, such log-Hadamard matrices were used by Kolountzakis and Matolcsi [10] to disprove Fuglede’s conjecture in , thereby disproving it in .
By [1, Thm. 4.1(g)], is log-Hadamard if and only if is, that is, we can replace “rows” by “columns” in Definition 2.2. Notice that adding the vector , consisting only of ones, to any row or column of a matrix preserves the property of being log-Hadamard. When each entry of a vector is a one, we refer to it as an all-one vector.
The following theorem relates log-Hadamard matrices to Fuglede’s conjecture. It is implied by [1, Thm. 4.7].
Theorem 2.3**.**
Let be a prime. If there exists an log-Hadamard matrix with entries in and rank at most , and is not a power of , then Fuglede’s conjecture fails in .
Proof.
By [1, Thm. 4.7], there exists a spectral subset of of size . Since is not a power of , this set cannot be a tile. ∎
We are now ready to present the counterexample of Aten et al. [1]. We define the vectors for , letting denote , although we only use
[TABLE]
For vectors , let denote the vector obtained by concatenating and .
Theorem 2.4** ([1, Sec. 8]).**
Let be an odd prime and a nonsquare modulo . Let be the matrix with rows
[TABLE]
where and the row index starts at zero. Then is log-Hadamard.
Observe that , as defined in Theorem 2.4, has rank at most five. Thus, by Theorem 2.3, Fuglede’s conjecture fails in for all odd primes . Moreover, if , then is a nonsquare modulo . Taking yields a matrix with rank at most four, because this choice of makes and parallel. Therefore, Fuglede’s conjecture fails in for all primes .
We might wonder whether there is something special about primes congruent to modulo that allows us to reduce the rank of by taking . Our modified counterexample in the next section shows that this is not the case. Indeed, we illustrate below that being a nonsquare modulo is not crucial to the argument, and that Fuglede’s conjecture still fails in for all primes .
3. The Modified Counterexample
As noted in Section 2, adding a multiple of the all-one vector to any row of the matrix preserves the property of being log-Hadamard. Let be constants to be determined later. For each , we add to row and add to row . The result is the log-Hadamard matrix with rows
[TABLE]
In order for to have rank at most four, we want the vectors
[TABLE]
to be parallel. This is accomplished by setting , which simplifies to
[TABLE]
Notice that the rank of the constructed is exactly four, as we can easily check that the vectors , , and are linearly independent for any that are not both zero. Thus, we have proved the following proposition.
Proposition 3.1**.**
Let be an odd prime, a nonsquare modulo , and let and satisfy (3.3). Let be the matrix with rows (3.1) and (3.2), where and the row index starts at zero. Then is log-Hadamard of rank four.
For any , there exist and that satisfy (3.3), although we can take only when and this is available only when . This shows that there is nothing special about with respect to this counterexample besides the fact that we can choose .
From Proposition 3.1 and Theorem 2.3, we conclude that Theorem 1.1 holds.
Proposition 3.1 gives rise to the following explicit spectral subset of , an odd prime, of size with spectrum :
[TABLE]
where and is a non-square modulo . The value of above is given by Equation (3.3). The above set is found by calculating a rank factorization of as , where and are of size , as in [12]. Then, we can take the rows of and to be the elements of and , respectively. As , which does not divide , the spectral set does not tile , giving an explicit counterexample to Fuglede’s conjecture.
Note that, for fixed , all values of yield the same up to translation. By translational invariance [1, Cor. 4.3(c)], we have essentially a single counterexample for each . Notice also that, by duality, is a spectral subset with spectrum .
4. Dephased Log-Hadamard Matrices
It is natural for us to ask whether any modification of the original counterexample , similar to the above, can produce a log-Hadamard matrix of rank less than four. In this section we show that this is impossible. Our proof also explains why our counterexample in Section 3 works. The reason is that we are dephasing the original counterexample .
Definition 4.1**.**
A log-Hadamard matrix is dephased if the entries in the first row and the first column are all zero.
Observe that when and , our matrix from Section 3 is dephased.
Definition 4.2**.**
We say that two log-Hadamard matrices are equivalent if they can be transformed into one another by adding all-one vectors to rows and columns and permuting rows and columns.
It is easy to see that every log-Hadamard matrix is equivalent to a dephased one. Moreover, Aten et al. [1, Cor. 5.2] showed that, in a given equivalence class of log-Hadamard matrices, some dephased matrix is of lowest rank.
Our Proposition 4.3 below shows that more is true: any dephased log-Hadamard matrix has the lowest rank in its equivalence class. In particular, any two equivalent dephased log-Hadamard matrices have the same rank.
From Proposition 4.3, we see that our construction is natural. Indeed, the matrix of Proposition 3.1 is equivalent to of Theorem 2.4. Also, we recall the above observation that is dephased when and . Hence, this has the lowest rank in its equivalence class; in particular, this means that our counterexample cannot be improved. In brief, we have sharpened the counterexample of Aten et al. simply by dephasing it.
Our dephasing result has many applications. In Section 5, guided by Proposition 4.3, we dephase Tao’s [18] counterexample in to obtain a counterexample in , which then cannot be improved. Finally, this proposition allows our computer program, introduced in Section 5, to compute the lowest rank of log-Hadamard matrices of a given size by checking one dephased matrix from each equivalence class.
Proposition 4.3**.**
Any dephased log-Hadamard matrix over has the lowest rank among all log-Hadamard matrices equivalent to it.
Proof.
Let be an dephased log-Hadamard matrix over . Since is dephased, we have whenever or . We wish to determine if any other equivalent log-Hadamard matrix has lower rank than . However, any such equivalent matrix may be obtained, up to permutation of rows and columns, from by adding multiples of the vector to the rows and to the columns of . Letting be obtained from by adding multiples of to the rows of , and letting be obtained from by adding multiples of to the columns of , we see that our conclusion will be obtained if we can prove that in all cases.
Case 1: satisfies for , with nonzero modulo . In this case, we can add multiples of the first row of to the other rows of to obtain a matrix with the same rank as but which differs from only in its first row. Since the first row and column of are zero, . Then, as the span of is -dimensional, we have
[TABLE]
So , as was to be shown.
Case 2: is zero modulo . To analyze this case, first write with being row vectors. Write . Then, without loss of generality, we may suppose that are linearly independent. Now, after adding a multiple of to each row of , we arrive at
[TABLE]
over , for some . We claim that is a linearly independent set. Otherwise, there exist , not all [math], with . Since the start with 0, comparing the first entries of both sides gives . Thus, , so is a linearly dependent set, a contradiction. Thus, .
Notice that in the above argument, we have used the fact that all rows of start with 0. By applying an analogous argument to the columns, and using the fact that all columns of start with 0 because , we deduce that . So , as was to be shown. ∎
The further question of whether some log-Hadamard matrix of size and rank three can be constructed remains unresolved. However, any such construction has to fail for , because Fuglede’s conjecture is true in in that case, by the work of Fallon, Mayeli, and Villano [2].
Finally, our technique does not work when . Indeed, there is no nonsquare modulo 2. Furthermore, it is not sufficient to demonstrate the existence of a log-Hadamard matrix of appropriate rank, because is now a power of . This implies that we must look for a matrix of size at least . However, by [1, Cor. 5.5], the dimensions of such a matrix must be divisible by 4, so we should look for a matrix of size at least . Tao [18] presented one example of a matrix of this size with rank eleven. This will be discussed in the next section.
5. The Case
In this section, we show that Fuglede’s conjecture holds in and fails in . For the first result, we need the following proposition. First, we define a subset of to be a graph on , for a subspace of , if there is a projection operator on with image that projects bijectively onto . Aten et al. [1] call a graph on a subspace a full graph set.
Proposition 5.1**.**
Any subset of of size is a graph on some 2-dimensional subspace of .
Proof.
The property of being a graph on a subspace is invariant under translation and under invertible linear transformations. So assume by translation that . If elements of lie in a 2-dimensional subspace , then is clearly a graph on . Otherwise, by applying an invertible linear transformation, we may suppose that
[TABLE]
where is the vector with one in the th slot and zeros elsewhere. Project bijectively onto the set obtained by forgetting all but the first three coordinate entries of the elements of . Then, apply a further projection operator whose kernel is the span of and whose image is . This operator bijectively maps onto its image. ∎
Proposition 5.2**.**
Fuglede’s conjecture holds in .
Proof.
We apply [1, Thm. 1.1]. Let . If is spectral or a tile, then parts (a), (b) and (c) of that theorem imply that is a power of two. If , then parts (d) and (e) of the same theorem show that is a graph on a subspace, which tiles and is spectral. In the remaining case, , Proposition 5.1 implies is a graph on a subspace, and so tiles and is spectral. ∎
In contrast, it is not true that every subset of of size is a graph on some -dimensional subspace of . The following example demonstrates this.
Example 5.3**.**
Consider the subset of given by
[TABLE]
We claim that does not tile by translation. Granted this, it follows by [1, Thm. 1.1(d)] that is not a graph on a -dimensional subspace of .
As , and , we see that tiles if and only if there exist such that is the disjoint union of . As , each must be a sum of 0, 1, 2, 3, 4, or 5 elements from the set of basis vectors of . However, if is a sum of 0, 1, 2, 4, or 5 basis vectors, then clearly , so is not disjoint from . Hence, each must be a sum of 3 basis vectors. Moreover, as for , we have . So, the difference of two distinct ’s must be a sum of 3 basis vectors. But we can check that the difference of any two sums of 3 basis vectors is a sum of either 0, 2, or 4 basis vectors, a contradiction.
Our computer program can also easily check that does not tile.
Thus, by the above example, the method used to prove Fuglede’s conjecture for fails to resolve it for ; nevertheless, the authors have written a computer program to verify that the conjecture indeed holds for and . The code that the authors wrote for this program can be found at
https://github.com/natso26/FugledeZ_2-d.
It uses a similar graph-theoretic approach to that of Siripuram et al. [15], as well as the information in Sloane’s online library of Hadamard matrices [16].
While we do not intend to explain the code here, it is perhaps worth pointing out the role of dephased log-Hadamard matrices in the program’s verification that there are no counterexamples to Fuglede’s conjecture in and . In brief, there are two separate computer programs, CheckSpecTile and DephasedRank. The former uses a brute-force approach to check that for every subset of size 8 in and of size 16 in , tiles if and only if is spectral. The latter checks that there is no spectral set of size different from a power of two in and by computing ranks of dephased log-Hadamard matrices. Computing such ranks is, by Proposition 4.3, enough to conclude that there are no spectral sets of size different from a power of two, by the results of Aten et al. [1, Thm. 4.7]. Further explanation is given in the readme files found by following the link.
Finally, we show that Fuglede’s conjecture fails in . Tao’s [18] counterexample of a Hadamard matrix of size with entries produces a corresponding log-Hadamard matrix of rank eleven. Proposition 4.3 suggests that we should dephase this matrix, that is, add all-one vectors to its rows and columns so that the first row and column become zero, to obtain a log-Hadamard matrix of possibly lower rank. This procedure yields
[TABLE]
of rank ten. One way to verify this is by the following three lines of MATLAB code.
Therefore, by Theorem 2.3, Fuglede’s conjecture fails in . From this, Proposition 5.2, and the results of our computer program, we have proved Theorem 1.2.
According to Sloane’s online library of Hadamard matrices [16], there is only one equivalence class of log-Hadamard matrices over . Hence, by Proposition 4.3, no log-Hadamard matrix over has rank less than , with as in (5.1). Thus, as a corollary, there is no spectral set of size in for .
Replacing by any other number which is not a power of , we can run the above procedure to conclude that there is no spectral set of size in by checking that the rank of some dephased log-Hadamard matrix over in each equivalence class is more than . This is essentially what our program DephasedRank does.
In the authors’ investigations of Fuglede’s conjecture in , they have repeatedly come across numerical evidence in favor of the following unresolved conjectures.
- (1)
For different from a power of 2, the rank of a dephased , -valued log-Hadamard matrix depends only on and is independent of its equivalence class. 2. (2)
For , the rank mentioned above is at least 10.
Notice that the first assertion generalizes Proposition 4.3. If the first assertion is true, then it is possible to apply our program DephasedRank to Sloane’s online library of Hadamard matrices [16] to verify the second assertion for . If the second assertion is true for , this will imply, by Aten et al. [1, Thm. 1.1(b), (e)], that any subset of with is not spectral if is not a power of . Then, the size of any counterexample to Fuglede’s conjecture in for would be a power of . Proving Fuglede’s conjecture in these settings, in turn, would resolve Fuglede’s conjecture for all finite-dimensional vector spaces over prime fields of dimensions .
Acknowledgements
The first author would like to thank Palle Jorgensen for introducing him to Fuglede’s conjecture. The authors would also like to thank Thomas Fallon, Azita Mayeli, and Dominick Villano for interesting discussions pertaining to the groups , and for sharing their list of references. Finally, the authors wish to thank the referees for their corrections and suggestions, which have improved the paper’s readability and discussion of the literature.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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