WorksMathematics
The Grundy domination number is not multiplicative on strong products
Abstract
The strong product of the octahedron with a graph on vertices of Grundy domination number has Grundy domination number at least . This disproves the conjecture of Brešar, Bujtás, Gologranc, Klavžar, Košmrlj, Patkós, Tuza and Vizer that \ggr(G\sprod H)=\ggr(G)\ggr(H) for all graphs and .
Introduction
Let be a finite simple graph and write for the closed neighbourhood of a vertex . A sequence of vertices of is legal if every dominates a vertex not dominated by its predecessors, that is,
a vertex in this difference is a footprint of . The vertices of a legal sequence are distinct. The Grundy domination number is the length of a longest legal sequence; a longest legal sequence always dominates . The parameter was introduced by Brešar, Gologranc, Milanič, Rall and Rizzi [4], who connected it with the domination game.
In the strong product two distinct vertices and are adjacent when and ; equivalently . Taking a Grundy dominating sequence of and one of and listing their pairs in lexicographic order gives a legal sequence of , so
for all and [3 Proposition 21]. In the same paper the authors conjectured that the bound is always attained.
Conjecture 1.1 ([3 Conjecture 22]). For all graphs and , .
The conjecture holds when is a caterpillar [3] and, more generally, when is a forest, by the work of Bell, Driscoll, Krop and Wolff [2]. A proof for all graphs was announced by Herrman and Smith [5] and later withdrawn.1 We show that the conjecture is false.
For let be the graph on in which and are adjacent when . Let be the octahedron, the complete tripartite graph with three parts of size two.
Theorem 1.2. , and . In particular
and Conjecture 1.1 fails.
The lower bound for the product is a short explicit argument valid for every (Proposition 3.1), and so is (Lemma 2.1). The upper bound is the one step that rests on a finite computation: an exhaustive search through the sets dominated by legal sequences, which we have certified in the Lean 4 proof assistant [6] (§ 4). The same search gives a family of counterexamples.
Theorem 1.3. For every , . For ,
so for . For the ratio
is at least .
The second statement of Theorem 1.3 is computational (§ 5); the first is Proposition 3.1. If the formula for holds for all , the ratio approaches . By Proposition 25 of [3], , so for the ratio can never exceed 3.
The graphs
We write the vertices of the octahedron as (in this order, ), where is the antipode of ; the three antipodal pairs are the only non-adjacent pairs (Figure 1). Thus is everything except the antipode of .
Lemma 2.1. .
Proof. The sequence is legal: footprints itself. Conversely, let be legal. If is the antipode of , then is the whole vertex set; otherwise misses only the antipode of , which lies in . Either way nothing is left for a third vertex to footprint.

Figure 1. The octahedron . Each vertex is adjacent to all others except its antipode; the dotted segments join the antipodal pairs .
In we write , and . Two vertices of the same residue class are never adjacent, and for vertices of different classes,
because , and . When the graph has a circular description (Figure 2). Recall that the circular clique has vertex set , two vertices being adjacent when their cyclic distance is at least .

Figure 2. on a ring in the order of Proposition 2.2; all edges are drawn faintly. The closed neighbourhood of is together with the arc of vertices at cyclic distance at least 8 and its partner (dashed).
Proposition 2.2. Let and place the vertices of on a cycle in the order
.
Two vertices are adjacent in if and only if their cyclic distance is at least , or they are and for some . Thus is the circular clique together with the perfect matching .
Proof. Give , and the positions , and modulo . Vertices of the same class are at cyclic distance at most and are not adjacent. For two vertices of different classes, name them so that the second follows the first in the cyclic order of the blocks: the pairs are , and . In each case the second position minus the first is modulo , with , so the cyclic distance is at least when , exactly when , and at most when . Comparing with (2): the pair is adjacent exactly when , except that .
A long legal sequence in the product
The construction uses one property of : with the colouring , every edge with satisfies . We state it for any graph with this property.
Proposition 3.1. Let be a graph with vertices and a map such that for every edge with . Then the sequence
is legal in , and . In particular for every , with .
Proof. We show that footprints , indices of and taken modulo 3. First, : the vertex is not the antipode of , so it lies in , and . Now let . If , then , which means , and , which for means that is an edge, hence . The two conclusions contradict each other, so .
Figure 3 shows the sequence for . Every column of the product contains exactly one vertex of the sequence, while a Grundy dominating sequence of the form used for (1) would use only columns. The rotation of the three colours along the sequence is what lets each new vertex reach a footprint in a layer that none of the earlier vertices covers in that column.

Figure 3. as six stacked copies of , one for each vertex of the octahedron. The 21 blue vertices form a legal sequence; the arrow from each of them ends at its footprint .
The Grundy domination number of
Lemma 4.1. .
Proof. The sequence , that is , is legal and dominating. By (2), dominates ; each with footprints itself and ; then footprints itself, footprints , footprints , footprints itself and footprints .
For the upper bound we use the sets of dominated vertices. For a legal sequence put . Define families of vertex sets by and
Lemma 4.2. If is a legal sequence of length , then . Hence is the largest with .
Proof. Induction on : if is legal, then and , so . Conversely, every member of is for a legal sequence of length , by the same induction.
The families can be large in general, but for they are small: by (2), the vertices of a class dominated by the vertices of another class form an initial or a final segment of that class.2 Their sizes are
and ; the only member of is the whole vertex set. With Lemma 4.2 this gives the following.
Proposition 4.3. .
We have verified Proposition 4.3 in three independent ways. In Lean 4, a certificate lists the 5479 sets of the families as bit masks stored in binary search trees, and the kernel checks by evaluation that , that for every and every with , and that no member of has a proper extension. A formal version of Lemma 4.2, proved in Lean for every graph and every such certificate, then bounds the length of every legal sequence of by 10. The Lean statement uses the definitions of legal sequences, of , of and of the strong product given in this paper, and the main theorem strong_product_counterexample: there is a dominating legal sequence of length 21 in , every legal sequence of has length at most 2, every legal sequence of has length at most 10, and depends only on the standard axioms propext and Quot.sound; no native_decide is used. Independently, a C program computes the families by breadth-first search, and a Python program finds by a memoised depth-first search over dominated sets; both use only the definition of .
Proof of Theorem 1.2. Lemma 2.1, Lemma 4.1 with Proposition 4.3, and Proposition 3.1 with . □
The family
The same breadth-first search, run for , gives the values in Table 1; for they agree with the depth-first search. With Proposition 3.1 this proves Theorem 1.3.3 The largest search, for , visits 193 131 321 dominated sets and takes about five minutes on one core. The upper bound for is the only one we have checked in Lean.
| 6–7 | 8–10 | 11–13 | 14–16 | 17–19 | 20–22 | 23–25 | 26–28 | 29–31 | 59–61 | 62–63 | ||
| 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 23 | 24 |
Table 1. for , by exhaustive search. The conjecture fails for when , that is, for .
Question 5.1. Is for every ? An affirmative answer would give .
Question 5.2. Is bounded over all graphs and ? Which graphs satisfy Conjecture 1.1 for every ? By [2] all forests do, and Theorem 1.2 shows that does not.
Remark 5.3. Deleting the matching from leaves the circular clique (Proposition 2.2), a circulant graph, and it still satisfies the hypothesis of Proposition 3.1. Our search gives for , one more than . Hence , and are counterexamples as well, with a vertex-transitive second factor; the matching only makes the counterexamples smaller.
Computations and formal verification
The Lean development, the C and Python programs, their outputs and the scripts that rebuild this paper are in the archive [1]. The Lean files (Lean 4.34.1, no external libraries) contain 25 theorems; all of them depend only on the standard axioms.
Use of generative AI
The author used Claude (Anthropic) to check the results by computer and in Lean and to help draft the text; the author verified every step and is responsible for the content.
References
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- [3]B. Brešar, Cs. Bujtás, T. Golovranc, S. Klavžar, G. Košmrlj, B. Patkós, Zs. Tuza and M. Vizer, Dominating sequences in grid-like and toroidal graphs, Electron. J. Combin. 23(4) (2016), #P4.34. doi:10.37236/6269DOI
- [4]B. Brešar, T. Golovranc, M. Milanič, D. F. Rall and R. Rizzi, Dominating sequences in graphs, Discrete Math. 336 (2014), 22–36. doi:10.1016/j.disc.2014.07.016DOI
- [5]R. Herrman and S. G. Z. Smith, A proof of the Grundy domination strong product conjecture, arXiv:2212.04565, 2022 (withdrawn). https://arxiv.org/abs/2212.04565
- [6]L. de Moura and S. Ullrich, The Lean 4 theorem prover and programming language, in: Automated Deduction – CADE 28, Lecture Notes in Comput. Sci., Springer, Cham, 2021, pp. 625–635. doi:10.1007/978-3-030-79876-5_37DOI