Multiplicative Sidon Sets
- Multiplicative Sidon sets are subsets of natural numbers where every unordered pair of elements produces a unique product, with primes serving as a primary example.
- Research focuses on determining the maximum size of these sets in [n] and utilizes graph-theoretic and random-block methods to construct sets with refined asymptotic bounds.
- Recent advances address interval-distribution and gap problems by applying prime-distribution estimates and combinatorial techniques to improve exponent bounds.
A multiplicative Sidon set is a set , or more generally , such that the equation with has only the trivial solutions for which as multisets. Equivalently, all pairwise products of elements of are distinct up to order. The topic combines extremal number theory, graph-theoretic encoding of multiplicative collisions, and analytic information on primes, and it now includes both classical size questions and recent interval-distribution problems concerning how small the maximal gaps in such sets can be (Doorn et al., 5 Jun 2026, Liu et al., 2018).
1. Definition and equivalent formulations
In its classical form, the multiplicative Sidon property requires uniqueness of unordered factorizations inside the set: if and , then necessarily . The same definition appears in finite and infinite settings, and the primes furnish the basic example, since unique factorization implies that distinct unordered pairs of primes do not share a product (Doorn et al., 5 Jun 2026).
Several equivalent formulations are standard. In multiplicative-group language, is multiplicative Sidon if every non-unit quotient has a unique representation: if 0 with 1, then 2 (Shkredov, 2021). For a finite set 3, one can also express the condition through multiplicative energy,
4
Then 5 is multiplicative Sidon if and only if 6, since the only admissible quadruples are the two trivial reorderings of each pair (Roche-Newton et al., 2021).
This notion is the multiplicative analogue of an additive Sidon set, where one requires uniqueness of sums or differences rather than products. The analogy is structurally useful but not exact: multiplicative problems interact much more directly with prime factorization, divisor bounds, and prime-distribution estimates (Shkredov, 2021).
2. Extremal size in 7 and enumeration
For subsets of 8, the first question is the maximum possible cardinality of a multiplicative Sidon subset. Erdős showed that the largest multiplicative Sidon subset of 9 has size
0
so the primes determine the main term, and the room for improvement above 1 is of lower order (Doorn et al., 5 Jun 2026). This result established that the extremal problem is not about changing the leading asymptotic scale, but about exploiting a comparatively thin family of additional composite elements.
The lower-bound constructions and later structural analyses are closely tied to auxiliary sparse graphs. One classical description is that one selects one element from each large prime 2 and then adds further composite products coming from a suitable 3-free graph on small primes (Liu et al., 2018). This graph-theoretic encoding is pervasive in the subject: a multiplicative collision 4 corresponds to a short cycle in a carefully chosen factor graph, and extremal graph bounds then control how many elements may be added without violating the Sidon property.
The enumeration problem was resolved by Liu and Pach. Writing 5 for the number of multiplicative Sidon subsets of 6, they showed that
7
for a function
8
and 9 (Liu et al., 2018). The factor 0 reflects the dominant freedom coming from large primes: for each 1, one may choose at most one multiple of 2, or choose none.
A recurring misconception is to identify the extremal-size problem with the interval-distribution problem. The former asks how many elements a multiplicative Sidon set in 3 can contain, while the latter asks how evenly those elements can be placed. The primes are near-optimal for size in the sense above, but they are not automatically near-optimal for gap size.
3. Gap problems and interval distribution
Recent work has introduced a different parameter. One form, denoted 4, is the infimum of all 5 such that there exists a multiplicative Sidon set 6 meeting every interval 7 (Doorn et al., 3 May 2026). Another paper uses 8 for the same type of quantity, namely the smallest 9 such that some multiplicative Sidon subset of 0 meets every interval of length 1 (Doorn et al., 5 Jun 2026). This notational variation coexists with the older use of 2 for maximal size in other parts of the literature.
Sárközy asked whether one always has 3. Van Doorn, Monticone and Tang answered this affirmatively, proving
4
for every integer 5 (Doorn et al., 3 May 2026). Their elementary construction takes 6 and
7
which hits every interval of length 8; the main content is then to verify that this congruence class is multiplicative Sidon. The same paper reports that this proof was autonomously discovered and formally verified in Lean by Aristotle (Doorn et al., 3 May 2026).
The same 2026 paper then crossed the 9-barrier by proving
0
using a bipartite-matching scheme built from short-interval prime information and a weighted Hall-lemma argument (Doorn et al., 3 May 2026). Shortly afterward, “Gaps in Multiplicative Sidon Sets II” improved the exponent further to
1
that is, 2 (Doorn et al., 5 Jun 2026).
The proof of the improved bound has two stages. First, a random-block construction combined with the asymmetric Lovász Local Lemma yields the benchmark exponent 3: if disjoint sets 4 satisfy 5, the number of sets is at most 6, and 7, then one can choose one element 8 so that 9 is multiplicative Sidon (Doorn et al., 5 Jun 2026). Second, the argument introduces an exponent 0 measuring the total Lebesgue measure of points 1 for which the interval 2 contains fewer than 3 primes. The key implication is: 4 One partitions 5 into blocks of length 6, labels blocks as good or bad depending on whether they contain enough primes exceeding 7, chooses one prime from each good block, and then applies the random multiplicative-Sidon lemma only to the bad blocks after shielding them from multiplicative collisions by the previously chosen primes (Doorn et al., 5 Jun 2026).
The final exponent 8 comes from inserting the latest available prime-distribution input into this framework. In particular, the paper states that the work of Gafni–Tao shows that for all 9, one has 0, which yields the final bound (Doorn et al., 5 Jun 2026). This suggests that further progress on gaps is tightly coupled to sharper control of prime-poor intervals.
4. Infinite multiplicative Sidon sets
For an infinite multiplicative Sidon set 1, the natural counting function is
2
The question is then how much larger 3 can be than 4 along an infinite sequence of scales. The 2017 paper “On infinite multiplicative Sidon sets” proves complementary upper and lower results and states that the correct gauge for the second-order term is
5
up to absolute constants (Pach et al., 2017).
On the constructive side, the paper builds an infinite multiplicative Sidon set 6 for which
7
for all large 8 and some positive constant 9 (Pach et al., 2017). The construction proceeds blockwise. For each 0, let 1 be the primes in 2; from each 3, a combinatorial lemma produces a family 4 of four-element subsets satisfying intersection and four-pair avoidance properties, with 5. One then sets
6
and checks from the combinatorial properties of the 7 that 8 is multiplicative Sidon (Pach et al., 2017).
The upper bound is more intricate. The argument decomposes 9 according to the smallest factor in representations 0, uses 1-free graph estimates to control certain subclasses, and then handles the remaining elements by further factorization into numbers with many prime factors in prescribed windows (Pach et al., 2017). The resulting picture differs sharply from the finite extremal problem in 2, where the excess over the primes is of order 3. This suggests that maintaining the multiplicative Sidon property simultaneously at all scales is substantially more restrictive than optimizing at a single scale.
5. Variants, generalized notions, and notation
The term “multiplicative Sidon” appears in several related but distinct senses.
A multiplicative 4-Sidon set requires that the equation
5
have no solution with all 6 factors distinct. For 7, Pach proved that the largest multiplicative 8-Sidon subset of 9 satisfies
00
improving the previously known best upper bound (Pach, 2018). The proof builds a hexagon-free graph encoding triple-product collisions and combines 01-extremal bounds with analytic estimates on integers having prescribed numbers of prime factors (Pach, 2018).
A broader family is given by multiplicative 02-sets. Here one requires that for every integer 03, the number of representations
04
counted up to permutation, is at most 05. When 06 and 07, this is exactly the classical multiplicative Sidon condition (Jing et al., 2022). Among the results in this direction, it is proved that there exist absolute constants 08 and 09 such that for every 10 and every finite 11, one can find a multiplicative 12-subset of size
13
with the specific refinement that for 14 one may take 15, and for sufficiently large 16 one may take 17 (Jing et al., 2022).
There is also a fixed-multiplier notion. A set 18 is 19-multiplicative if 20 for all 21, and more generally 22-multiplicative if 23 implies simultaneously 24 and 25 for all 26, 27, and 28 (Wakeham et al., 2011). Wakeham and Wood determined the maximum density of an 29-multiplicative set in 30: if 31, then the maximum density is
32
This is qualitatively different from the classical multiplicative Sidon problem, where the best-known constructions have zero asymptotic density (Wakeham et al., 2011). A common confusion is to treat these fixed-multiplier avoidance problems as equivalent to the classical pairwise-product uniqueness problem; they are not.
6. Extraction, obstruction, and broader combinatorial context
A separate line of work asks not for extremal subsets of 33, but for large multiplicative Sidon-type subsets inside an arbitrary finite set 34. Shkredov proved a structural dichotomy based on higher energies: for any finite 35 or 36 with 37 and any 38, there exists 39 such that either 40 has a highly structured large subset with small doubling, or 41 contains either an additive Sidon-type subset or a multiplicative Sidon-type subset of size 42 for some 43 (Shkredov, 2021). In the low-energy regime, the mechanism is probabilistic deletion from a random sample; in the high-energy regime, one first extracts structured sets and then uses incidence or sum–product estimates to force small multiplicative higher energies (Shkredov, 2021).
A complementary result of Balogh, Bush, Croot, Das, and Strauch shows that every finite set of integers contains a comparatively large multiplicative 44-subset. In particular, for 45, every finite 46 contains a multiplicative 47-subset 48 with
49
and the proof of this case uses a point–hyperbola incidence theorem for solutions to
50
These positive extraction results are balanced by sharp obstructions. Roche-Newton and Warren constructed an infinite set 51 such that any subset 52 with 53 is not a multiplicative Sidon set, thereby refuting a conjecture of Klurman and Pohoata (Roche-Newton et al., 2021). Their finite model is
54
where 55 is the set of primes 56 and 57 is the set of primes 58. A subset 59 is multiplicative Sidon exactly when the corresponding bipartite graph on 60 is 61-free, because a non-trivial equality
62
is precisely a 63-cycle. The Kővári–Sós–Turán theorem then bounds the size of multiplicative Sidon subsets of 64 by the 65-power barrier (Roche-Newton et al., 2021).
Taken together, these results place multiplicative Sidon sets at the center of a broader extremal theory. On one side are constructions and extraction theorems driven by energy decompositions, incidence estimates, and graph sparsity; on the other are obstruction examples showing that very large multiplicative Sidon substructures need not exist inside arbitrary ambient sets. The most recent progress on gaps adds analytic prime-distribution phenomena to this picture, indicating that the next advances are likely to come from tighter interaction between multiplicative combinatorics and short-interval prime theory (Doorn et al., 5 Jun 2026).