Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-13T07:40:03.150Z Has data issue: false hasContentIssue false

Forcing generalised quasirandom graphs efficiently

Published online by Cambridge University Press:  05 September 2023

Andrzej Grzesik
Affiliation:
Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland
Daniel Král’
Affiliation:
Faculty of Informatics, Masaryk University, Brno, Czech Republic
Oleg Pikhurko*
Affiliation:
Mathematics Institute and DIMAP, University of Warwick, Coventry, UK
*
Corresponding author: Oleg Pikhurko; Email: o.pikhurko@warwick.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

We study generalised quasirandom graphs whose vertex set consists of $q$ parts (of not necessarily the same sizes) with edges within each part and between each pair of parts distributed quasirandomly; such graphs correspond to the stochastic block model studied in statistics and network science. Lovász and Sós showed that the structure of such graphs is forced by homomorphism densities of graphs with at most $(10q)^q+q$ vertices; subsequently, Lovász refined the argument to show that graphs with $4(2q+3)^8$ vertices suffice. Our results imply that the structure of generalised quasirandom graphs with $q\ge 2$ parts is forced by homomorphism densities of graphs with at most $4q^2-q$ vertices, and, if vertices in distinct parts have distinct degrees, then $2q+1$ vertices suffice. The latter improves the bound of $8q-4$ due to Spencer.

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press

1. Introduction

Quasirandom graphs play an important role in structural and extremal graph theory. The notion of quasirandom graphs can be traced to the works of Rödl [Reference Rödl42], Thomason [Reference Thomason46, Reference Thomason47] and Chung, Graham, and Wilson [Reference Chung, Graham and Wilson9] in the 1980s and is also deeply related to Szemerédi’s Regularity Lemma [Reference Simonovits and Sós44]. Indeed, the Regularity Lemma asserts that each graph can be approximated by partitioning it into a bounded number of quasirandom bipartite graphs. There is also a large body of literature concerning quasirandomness of various kinds of combinatorial structures such as groups [Reference Gowers24], hypergraphs [Reference Chung and Graham5, Reference Chung and Graham6, Reference Gowers22, Reference Gowers23, Reference Haviland and Thomason29, Reference Kohayakawa, Rödl and Skokan32, Reference Nagle, Rödl and Schaht41, Reference Rödl and Skokan43], permutations [Reference Chan, Král’, Noel, Pehova, Sharifzadeh and Volec4, Reference Cooper10, Reference Král’ and Pikhurko34, Reference Kureĉka35], Latin squares [Reference Cooper, Král’, Lamaison and Mohr11, Reference Eberhard, Manners and Mrazović17, Reference Garbe, Hancock, Hladký and Sharifzadeh20, Reference Gowers and Long25], subsets of integers [Reference Chung and Graham8], tournaments [Reference Bucić, Long, Shapira and Sudakov3, Reference Chung and Graham7, Reference Coregliano, Parente and Sato13, Reference Coregliano and Razborov14, Reference Grzesik, Il’kovič, Kielak and Král’26, Reference Hancock, Kabela, Král’, Martins, Parente, Skerman and Volec28], etc. Many of these notions have been treated in a unified way in the recent paper by Coregliano and Razborov [Reference Coregliano and Razborov15].

The starting point of our work is the following classical result on quasirandom graphs [Reference Chung, Graham and Wilson9]: a sequence of graphs $(G_n)_{n\in{\mathbb N}}$ is quasirandom with density $p$ if and only if the homomorphism densities of the single edge $K_2$ and the 4-cycle $C_4$ in $(G_n)_{n\in{\mathbb N}}$ converge to $p$ and $p^4$ , that is, to their expected densities in the Erdős-Rényi random graph with density $p$ . In particular, quasirandomness is forced by homomorphism densities of graphs with at most $4$ vertices. In this paper, we consider a generalisation of quasirandom graphs, which corresponds to the stochastic block model in statistics. In this model, the edge density of a (large) graph is not homogeneous as in the Erdős-Rényi random graph model, however, the graph can be partitioned into $q$ parts such that the edge density is homogeneous inside each part and between each pair of the parts. Lovász and Sós [Reference Lovász and Sós37] established that the structure of such graphs is forced by homomorphism densities of graphs with at most $(10q)^q+q$ vertices. Lovász [Reference Lovász36, Theorem 5.33] refined this result by showing that homomorphism densities of graphs with at most $4(2q+3)^8$ vertices suffice. Our main result, which we state below (we refer to Section 2 for not yet defined notation), improves this bound: the structure of generalised quasirandom graphs with $q\ge 2$ parts is forced by homomorphism densities of graphs with at most $4q^2-q$ vertices.

Theorem 1. The following holds for every $q\ge 2$ and every $q$ -step graphon $W$ : if the density of each graph with at most $4q^2-q$ vertices in a graphon $W^{\prime}$ is the same as in $W$ , then the graphons $W$ and $W^{\prime}$ are weakly isomorphic.

We remark that our line of arguments to prove Theorem 1 substantially differs from that in [Reference Lovász36, Reference Lovász and Sós37], with the exception of initial application of Lemma 2. In particular, the key steps in our proof are more explicit and so of a more constructive nature, which is of importance in relation to applications [Reference Borgs, Chayes, Cohn and Ganguly2, Reference Gao, Lu and Zhou19, Reference Klopp, Tsybakov and Verzelen30, Reference Klopp and Verzelen31].

Spencer [Reference Spencer45] considered generalised quasirandom graphs with $q$ parts with an additional assumption that vertices in distinct parts have distinct degrees and established that the structure of such graphs is forced by homomorphism densities of graphs with at most $8q-4$ vertices. Addressing a question posed in [Reference Spencer45], we show (Theorem 11) that graphs with at most $2q+1$ vertices suffice in this restricted setting for any $q\ge 2$ .

We present our results and arguments using the language of the theory of graph limits, which is introduced in Section 2. We remark that similarly to arguments presented in [Reference Lovász36, Reference Lovász and Sós37], although not explicitly stated there, our arguments also apply in a more general setting of kernels in addition to graphons (see Section 2 for the definitions of the two notions). We present various auxiliary results in Section 3 and use them to prove our main result in Section 4. The case with the additional assumption that vertices in distinct parts have distinct degrees is analysed in Section 5.

2. Notation

We now introduce the notions and tools from the theory of graph limits that we need in our arguments; we refer the reader to the monograph by Lovász [Reference Lovász36] for a more comprehensive introduction and further details. We also rephrase results concerning quasirandom graphs and generalised quasirandom graphs with $q$ parts presented in Section 1 in the language of the theory of graph limits.

We start with fixing some general shorthand notation used throughout the paper. The set of the first $q$ positive integers is denoted by $[q]$ and more generally the set of integers between $a$ and $b$ (inclusive) is denoted by $[a,b]$ . If $H$ and $G$ are two graphs, the homomorphism density of $H$ in $G$ , denoted by $t(H,G)$ , is the probability that a random function $f\,:\,V(H)\to V(G)$ , with all $|V(G)|^{|V(H)|}$ choices being equally likely, is a homomorphism of $H$ to $G$ , that is, $f(u)f(v)$ is an edge of $H$ for every edge $uv$ of $G$ . A sequence $(G_n)_{n\in{\mathbb N}}$ of graphs is convergent if the number of vertices of $G_n$ tends to infinity and the values of $t(H,G_n)$ converge for every graph $H$ as $n\to \infty$ . A sequence $(G_n)_{n\in{\mathbb N}}$ of graphs is quasirandom with density $p$ if it is convergent and the limit of $t(H,G_n)$ is equal to $p^{|E(H)|}$ for every graph $H$ , where $E(H)$ denotes the edge set of $H$ . If the particular value of $p$ is irrelevant or understood, we just say that a sequence of graphs is quasirandom instead of quasirandom with density $p$ .

The theory of graph limits provides analytic ways of representing sequences of convergent graphs. A kernel is a bounded measurable function $U\,:\,[0,1]^2\to{\mathbb R}$ that is symmetric, that is, $U(x,y)=U(y,x)$ for all $(x,y)\in [0,1]^2$ . A graphon is a kernel whose values are restricted to $[0,1]$ . The homomorphism density of a graph $H$ in a kernel $U$ is defined as follows:

\begin{equation*}t(H,U)=\int _{[0,1]^{V(H)}}\prod _{uv\in E(H)}U(x_u,x_v)\mbox {d} x_{V(H)},\end{equation*}

where $\mbox{d} x_A$ for a set $A=\{a_1,\dots,a_k\}$ is a shorthand for $\mbox{d} x_{a_1}\dots \mbox{d} x_{a_k}$ ; we often just briefly say the density of a graph $H$ in a kernel $U$ rather than the homomorphism density of $H$ in $U$ . A graphon $W$ is a limit of a convergent sequence $(G_n)_{n\in{\mathbb N}}$ of graphs if $t(H,W)$ is the limit of $t(H,G_n)$ for every graph $H$ . Every convergent sequence of graphs has a limit graphon and every graphon is a limit of a convergent sequence of graphs as shown by Lovász and Szegedy [Reference Lovász and Szegedy38]; also see [Reference Diaconis and Janson16] for relation to exchangeable arrays. Two kernels (or graphons) $U_1$ and $U_2$ are weakly isomorphic if $t(H,U_1)=t(H,U_2)$ for every graph $H$ . Note that any two limits of the same convergent sequence of graphs are weakly isomorphic, and we refer particularly to [Reference Borgs, Chayes and Lovász1] for results on the structure of weakly isomorphic graphons and more generally kernels.

We phrase the results concerning quasirandom graphs using the language of the theory of graph limits. Observe that a sequence of graphs is quasirandom if and only if it converges to the graphon equal to $p$ everywhere. The following holds for every graphon $W$ and every real $p\in [0,1]$ : a graphon $W$ is weakly isomorphic to the constant graphon equal to $p$ if and only if $t(K_2,W)=p$ and $t(C_4,W)=p^4$ . This leads us to the following definition: a graphon $U$ is forced by graphs contained in a set $\mathcal{H}$ if every graphon $U^{\prime}$ such that $t(H,U^{\prime})=t(H,U)$ for every graph $H\in{\mathcal{H}}$ is weakly isomorphic to $U$ . In particular, any constant graphon is forced by the graphs $K_2$ and $C_4$ . We refer particularly to [Reference Cooper, Král’ and Martins12, Reference Grzesik, Král’ and Lovász27, Reference Král’, Lovász, Noel and Sosnovec33, Reference Lovász and Szegedy39] for results on the structure of graphons forced by finite sets of graphs. Similarly, we say that a kernel $U$ is forced by graphs from a set $\mathcal{H}$ if every kernel $U^{\prime}$ such that $t(H,U^{\prime})=t(H,U)$ for every graph $H\in{\mathcal{H}}$ is weakly isomorphic to $U$ . We emphasise that our results actually concern forcing kernels (rather than graphons), which makes them formally stronger.

A $q$ -step kernel $U$ is a kernel such that $[0,1]$ can be partitioned into $q$ non-null measurable sets $A_1,\ldots,A_q$ such that $U$ is constant on $A_i\times A_j$ for all $i,j\in [q]$ but there is no such partition with $q-1$ parts. A $q$ -step graphon is a $q$ -step kernel that is also a graphon. If the number of parts is not important, we use a step kernel or a step graphon for brevity. Observe that step graphons correspond to stochastic block models and so to generalised quasirandom graphs discussed in Section 1. As mentioned in Section 1, Lovász and Sós [Reference Lovász and Sós37, Theorem 2.3] showed that every $q$ -step graphon $W$ is forced by graphs with at most $(10q)^q+q$ vertices, and Lovász [Reference Lovász36, Theorem 5.33] further improved the bound on the number of vertices to $4(2q+3)^8$ ; we remark that the proof of either of the results can be adapted to the setting of step kernels. Our main result (Theorem 1) states that every $q$ -step graphon is forced by graphs with at most $\max \{4q^2-q,4\}$ vertices; our arguments also apply in the setting of step kernels as stated in Theorem 10.

In the rest of this section, we introduce some technical notation needed to present our arguments. A $k$ -rooted graph is a graph with $k$ distinguished pairwise distinct vertices, and more generally an $(s_1,\ldots,s_q)$ -rooted graph is an $(s_1+\cdots +s_q)$ -rooted graph whose roots are split into $q$ groups, each of size $s_i$ , $i\in [q]$ . If $H$ is a $k$ -rooted graph with vertices $v_1,\ldots,v_n$ such that its roots are $v_1,\ldots,v_k$ then the density of $H$ in a kernel $U$ when $x_1,\ldots,x_k\in [0,1]$ are chosen as the roots is defined as:

\begin{equation*}t_{x_1,\ldots,x_k}(H,U)=\int _{[0,1]^{n-k}}\prod _{v_iv_j\in E(H)}U(v_i,v_j)\mbox {d} x_{[k+1,n]}.\end{equation*}

By the Fubini–Tonelli Theorem, the integral exists for almost all choices of $x_1,\ldots,x_k$ and we will often ignore exceptional null sets in this paper. Note that for $k=0$ this definition coincides with the definition of the density of an unrooted graph in a kernel. If the particular choice of the roots is understood, we write $t_{\star }(H,U)$ instead of $t_{x_1,\ldots,x_k}(H,U)$ . We sometimes think of and refer to the elements of $[0,1]$ as vertices of a kernel, which justifies the definition of the density of a rooted graph in a kernel and leads to the following definition: the degree of a vertex $x\in [0,1]$ in a kernel $U$ is the density $t_x(K_2^{\bullet },U)=\int _0^1 U(x,y)\mbox{d} y$ , where $K_2^{\bullet }$ is the $1$ -rooted graph obtained from $K_2$ by choosing one of its vertices as the root.

A quantum graph is a formal finite linear combination $Q=\sum _{i=1}^m c_i H_i$ of graphs; a graph $H_i$ with $c_i\not =0$ is called a constituent of $Q$ . More generally a quantum $k$ -rooted graph is a formal finite linear combination of $k$ -rooted graphs such that their roots induce the same ( $k$ -vertex) subgraph in each of the constituents. The density of a (rooted) quantum graph $Q$ in a kernel $U$ is the corresponding linear combination of the densities of the constituents forming $Q$ .

For a $k$ -rooted graph $H$ , let $[\![ H]\!]_{}$ be the underlying unrooted graph. Note that it holds for every kernel $U$ that

\begin{equation*}t([\![ H]\!]_{},U)=\int _{[0,1]^k}t_{x_1,\ldots,x_k}(H,U)\mbox {d} x_{[k]}.\end{equation*}

If $H$ and $H^{\prime}$ are $k$ -rooted graphs such that every pair of corresponding roots is joined by an edge in at most one of the graphs $H$ and $H^{\prime}$ , we define the product $H\times H^{\prime}$ as follows: let $H^{\prime\prime}$ be the $k$ -rooted graph isomorphic to $H^{\prime}$ that has the same roots as $H$ and is vertex disjoint otherwise, and let $H\times H^{\prime}$ be the graph with the vertex set $V(H)\cup V(H^{\prime\prime})$ , the edge set $E(H)\cup E(H^{\prime})$ and the same set of roots. Note that $H\times H^{\prime}$ does not have parallel edges as each pair of corresponding roots is joined by an edge in at most one of the graphs $H$ and $H^{\prime}$ . Also observe that $ |V(H\times H^{\prime})|=|V(H)|+|V(H^{\prime})|-k$ and it holds for every choice of roots and every kernel $U$ that

\begin{equation*}t_{\star }(H\times H^{\prime},U)=t_{\star }(H,U)\cdot t_{\star }(H^{\prime},U).\end{equation*}

If $H=H^{\prime}$ , we may write $H^2$ instead of $H\times H$ . The definition of the operator $[\![{\cdot}]\!]_{}$ and that of the product extend to rooted quantum graphs by linearity. Observe that, for every $k$ -rooted quantum graph $Q$ and every kernel $U$ , it holds that $t([\![ Q^2]\!]_{},U)\ge 0$ and the equality holds if and only if $t_{\star }(Q,U)=0$ for almost every choice of roots.

3. Forcing step structure

We start with recalling a construction from [Reference Lovász36, Proposition 14.44], which forces the structure of a step kernel with at most $q$ parts. For $k\in{\mathbb N}$ and $1\le i\lt j\le k$ , let $Q_k^{ij}$ be the following $(2k)$ -rooted quantum graph with roots $v_1,\ldots,v_k$ and $v^{\prime}_1,\ldots,v^{\prime}_k$ . The quantum graph $Q_k^{ij}$ has four constituents, each with a single non-root vertex: the graph with the non-root vertex adjacent to $v_i$ and $v^{\prime}_i$ and the graph with the non-root vertex adjacent to $v_j$ and $v^{\prime}_j$ , both with coefficient $+1$ , as well as the graph with the non-root vertex adjacent to $v_i$ and $v^{\prime}_j$ and the graph with the non-root vertex adjacent to $v_j$ and $v^{\prime}_i$ , both with coefficient $-1$ . See Figure 1 for an example. Let $Q_k$ be the following quantum graph with each constituent having $2k+2\binom{k}{2}=k(k+1)$ vertices:

\begin{equation*}Q_k=\left[\!\!\left[ \prod _{1\le i\lt j\le k} \left (Q_k^{ij}\right )^2\right]\!\!\right]_{}.\end{equation*}

The graph $Q_k$ is the graph obtained in the proof of [Reference Lovász36, Proposition 14.44] through an application [Reference Lovász36, Lemma 14.37]. This gives the following lemma, whose proof we sketch for completeness.

Figure 1. The $6$ -rooted quantum graph $Q_3^{12}$ .

Lemma 2. For every $q\in{\mathbb N}$ and every kernel $U$ , the following holds: $t(Q_{q+1},U)=0$ if and only if $U$ is weakly isomorphic to a step kernel with at most $q$ parts.

Proof. Observe that the value of $t(Q_{q+1},U)$ for a kernel $U$ is equal to

(1) \begin{equation} \int _{[0,1]^{2(q+1)}}\prod _{1\le i\lt j\le q+1}\!\!\left (\int _{[0,1]}\big (U(x_i,y)-U(x_j,y)\big )\big (U(x^{\prime}_i,y)-U(x^{\prime}_j,y)\big )\mbox{d} y\right )^2\!\!\mbox{d} x_{[q+1]} \mbox{d} x^{\prime}_{[q+1]}. \end{equation}

If $U$ is a step kernel with at most $q$ parts, then for any choice of $x_1,\ldots,x_{q+1}$ , there exist $1\le i\lt j\le q+1$ such that $x_i$ and $x_j$ are from the same part of $U$ and so $U(x_i,y)=U(x_j,y)$ for all $y\in [0,1]$ . Consequently, the product in (1) is zero for any choice of roots $x_1,\ldots,x_{q+1}$ , which implies that $t(Q_{q+1},U)=0$ .

We now prove the other implication, that is, that if $t(Q_{q+1},U)=0$ , then $U$ is weakly isomorphic to a step kernel with at most $q$ parts. Let $U$ be a kernel such that $t(Q_{q+1},U)=0$ . By (1), the following holds for almost all $x_{[q+1]}\in [0,1]^{q+1}$ and $x^{\prime}_{[q+1]}\in [0,1]^{q+1}$ :

\begin{equation*} \prod _{1\le i\lt j\le q+1}\int _{[0,1]}\left (U(x_i,y)-U(x_j,y)\right )\left (U(x^{\prime}_i,y)-U(x^{\prime}_j,y)\right )\mbox {d} y=0. \end{equation*}

Using [Reference Lovász36, Proposition 13.23], we get that the following holds for almost all $x_{[q+1]}\in [0,1]^{q+1}$ :

(2) \begin{equation} \prod _{1\le i\lt j\le q+1}\int _{[0,1]}\left (U(x_i,y)-U(x_j,y)\right )^2\mbox{d} y=0. \end{equation}

Let us consider an equivalence relation on $[0,1]$ defined as $x\equiv x^{\prime}$ if $U(x,y)=U(x^{\prime},y)$ for almost all $y\in [0,1]$ . Observe that (2) holds for $x_{[q+1]}\in [0,1]^{q+1}$ if and only if there exist $1\le i\lt j\le q+1$ such that $x_i\equiv x_j$ . Hence, (2) holds for almost all $x_{[q+1]}\in [0,1]^{q+1}$ if and only if the measure of the $q$ largest equivalence classes of $\equiv$ is one, which is equivalent to $U$ being weakly isomorphic to a step kernel with at most $q$ parts.

We next present two rather similar auxiliary lemmas; since their statements and constructions somewhat differ depending on the parity of $q$ , we state them separately for readability.

Lemma 3. For every even integer $q\ge 2$ and all integers $s_1,\ldots,s_q\in [q+2,2q+2]$ , there exists a graph $G$ with vertex set formed by $q$ disjoint sets $V_1,\ldots,V_q$ that satisfies the following:

  • the size of $V_i$ is $s_i$ for each $i\in [q]$ ,

  • the edge set of $G$ can be partitioned into four sets $M_1,\ldots,M_4$ such that, for every $1\le i\lt j\le q$ , each of the sets $M_1$ and $M_2$ restricted to vertices of $V_i\cup V_j$ , is a matching of size $q+2$ , and each of the sets $M_3$ and $M_4$ is a matching of size $q$ , and

  • the chromatic number of $G$ is $q$ and the colour classes of every $q$ -colouring of $G$ are precisely the sets $V_1,\ldots,V_q$ ; in particular, each of the sets $V_i$ , $i\in [q]$ , is independent.

Proof. Fix an even integer $q\ge 2$ and integers $s_1,\ldots,s_q\in [q+2,2q+2]$ . Let $V_i=\{i\}\times [s_i]$ ; note that the first coordinate of a vertex determines which of the sets contains the vertex. We now describe the graph $G$ by listing the edges between $V_i$ and $V_j$ , $1\le i\lt j\le q$ , contained in the matchings $M_1,\ldots,M_4$ , where we abbreviate $\{(a,b),(c,d)\}$ to $(a,b)(c,d)$ .

  • The matching $M_1$ consists of the edge $(i,1)(j,1)$ , the edge $(i,q+2)(j,q+2)$ , and the edges $(i,k)(j,k+1)$ and $(i,k+1)(j,k)$ for even values $k$ between $2$ and $q$ .

  • The matching $M_2$ consists of the edges $(i,k)(j,k+1)$ and $(i,k+1)(j,k)$ for odd values $k$ between $1$ and $q+1$ .

  • The matching $M_3$ consists of the edges $(i,k)(j,s_j-q+k)$ for all $k\in [q]$ .

  • The matching $M_4$ consists of the edges $(i,s_i-q+k)(j,k)$ for all $k\in [q]$ .

Observe that the following edges are always present between $V_i$ and $V_j$ , $1\le i\lt j\le q$ :

  • the edges $(i,1)(j,1)$ ,

  • the edges $(i,k)(j,k+1)$ and $(i,k+1)(j,k)$ for $k\in [q+1]$ , and

  • the edges $(i,k)(j,s_j-q+k)$ and $(i,s_i-q+k)(j,k)$ for $k\in [q]$ .

Since the sets $V_1,\ldots,V_q$ are independent, the chromatic number of $G$ is at most $q$ . On the other hand, the vertices $(i,1)$ , $i\in [q]$ form a complete graph of order $q$ , which implies that the chromatic number of $G$ is at least $q$ and so it is equal to $q$ .

Consider an arbitrary $q$ -colouring of $G$ and let $W_i$ , $i\in [q]$ , be the colour class containing the vertex $(i,1)$ . (Note that the vertices $(i,1)$ , $i\in [q]$ , are coloured with distinct colours as they form a complete graph.) We prove the following statement by induction on $k$ : for every $i\in [q]$ , if $k\le s_i$ , then the vertex $(i,k)$ belongs to $W_i$ . If $k=1$ , the statement follows from the definition of the sets $W_i$ . If $k\in [2,q+2]$ , for every $i\in [q]$ , the existence of the edges $(j,k-1)(i,k)$ , $j\in [q]\setminus \{i\}$ , and the induction assumption, which states that $(j,k-1)$ belongs to $W_j$ for $j\not =i$ , imply that the vertex $(i,k)$ belongs to $W_i$ . Finally, if $k\in [q+3,s_i]$ , $i\in [q]$ , the existence of the edges $(j,q+k-s_i)(i,k)$ , $j\in [q]\setminus \{i\}$ , implies that the vertex $(i,k)$ belongs to $W_i$ (note that $q+k-s_i\le q$ and so $(j,q+k-s_i)\in W_j$ for $j\not =i$ ). Hence, the $q$ -colouring of $G$ is unique up to a permutation of colour classes.

We next present the version of Lemma 4 for odd values of $q\ge 3$ .

Lemma 4. For every odd integer $q\ge 3$ and all integers $s_1,\ldots,s_q\in [q+2,2q+2]$ , there exists a graph $G$ with vertex set formed by $q$ disjoint sets $V_1,\ldots,V_q$ that satisfies the following:

  • the size of $V_i$ is $s_i$ for each $i\in [q]$ ,

  • the edge set of $G$ can be partitioned into four sets $M_1,\ldots,M_4$ such that each of the sets $M_1,\ldots,M_4$ restricted to vertices of $V_i\cup V_j$ , $1\le i\lt j\le q$ , is a matching of size $q+1$ , and

  • the chromatic number of $G$ is $q$ and the colour classes of every $q$ -colouring of $G$ are precisely the sets $V_1,\ldots,V_q$ ; in particular, each of the sets $V_i$ , $i\in [q]$ , is independent.

Proof. Fix an odd integer $q\ge 3$ and integers $s_1,\ldots,s_q\in [q+2,2q+2]$ , and set $V_i=\{i\}\times [s_i]$ . We describe the graph $G$ by listing the edges between $V_i$ and $V_j$ , $1\le i\lt j\le q$ , contained in the matchings $M_1,\ldots,M_4$ .

  • The matching $M_1$ consists of the edge $(i,1)(j,1)$ , the edge $(i,q+1)(j,q+1)$ , and the edges $(i,k)(j,k+1)$ and $(i,k+1)(j,k)$ for even values $k$ between $2$ and $q-1$ .

  • The matching $M_2$ consists of the edges $(i,k)(j,k+1)$ and $(i,k+1)(j,k)$ for odd values $k$ between $1$ and $q$ .

  • The matching $M_3$ consists of the edges $(i,k)(j,s_j-q-1+k)$ for all $k\in [q+1]$ unless $s_{j} = q + 2$ ; if $s_{j} = q + 2$ , then the matching $M_{3}$ consists of the edges $(i, q + 1)(j, q + 2)$ , $(i, q + 2)(j, 2)$ and $(i, k)(j, k + 2)$ for $k \in [q - 1]$ .

  • The matching $M_4$ consists of the edges $(i,s_i-q-1+k)(j,k)$ for all $k\in [q+1]$ unless $s_{i} = q + 2$ ; if $s_{i} = q + 2$ , then the matching $M_{4}$ consists of the edges $(i, q + 2)(j, q + 1)$ , $(i, 2)(j, q + 2)$ and $(i, k + 2)(j, k)$ for $k \in [q - 1]$ .

Observe that the following edges are always present between $V_i$ and $V_j$ , $1\le i\lt j\le q$ :

  • the edges $(i,1)(j,1)$ ,

  • the edges $(i,k)(j,k+1)$ and $(i,k+1)(j,k)$ for $k\in [q]$ ,

  • the edges $(i,k)(j,s_j-q-1+k)$ for $k = 2q + 3 - s_{j},\ldots, q + 1$ , and

  • the edges $(i, s_i - q - 1 + k)(j,k)$ for $k = 2q + 3 - s_{i},\ldots, q + 1$ .

The rest of the argument now follows exactly the lines of the corresponding part of the proof of Lemma 3.

We are now ready to prove the main lemma of this section.

Lemma 5. For all integers $q\ge 2$ and $s_1,\ldots,s_q\in [q+2,2q+2]$ , there exists an $(s_1,\ldots,s_q)$ -rooted quantum graph $P_{s_1,\ldots,s_q}$ such that

  • each constituent of $P_{s_1,\ldots,s_q}$ has $2q(q-1)$ non-root vertices,

  • the $s_1+\cdots +s_q$ roots of $P_{s_1,\ldots,s_q}$ form an independent set,

  • for every $q$ -step kernel $U$ , there exists $d_0=d_0(U)\gt 0$ that does not depend on $s_1,\ldots,s_q$ such that $t_{\star }(P_{s_1,\ldots,s_q},U)$ is either $0$ or $d_0$ for all choices of roots, and it is non-zero if and only if all roots from each of the $q$ groups of roots of $P_{s_1,\ldots,s_q}$ are chosen from the same part of $U$ but the roots from different groups are chosen from different parts.

Proof. For $q$ and $s_1,\ldots,s_q\in [q+2,2q+2]$ , let $G$ be the graph from Lemma 3 or Lemma 4 (depending on the parity of $q$ ). Let $V_1,\ldots,V_q$ be the sets forming the vertex set of $G$ , and let $M_1,\ldots,M_4$ be the sets forming the edge set of G as given by the lemma. We identify the vertices of $V_i$ with the $s_i$ roots in the $i$ -th group. Let $M^{ij}_k$ , for $1\le i\lt j\le q$ and $k\in [4]$ , consist of the edges of $M_k$ between $V_i$ and $V_j$ , and let ${\mathcal{M}}^{ij}_k$ be the set of all $2^{\left |M^{ij}_k\right |}$ subsets of $V_i\cup V_j$ such that each set in ${\mathcal{M}}^{ij}_k$ contains exactly one vertex from each edge of $M^{ij}_k$ . Next, if $W\subseteq V_1\cup \cdots \cup V_q$ , we write $P[W]$ for the $(s_1,\ldots,s_q)$ -rooted graph with a single non-root vertex such that the non-root vertex is adjacent to the roots in $W$ . Finally, we define the $(s_1,\ldots,s_q)$ -rooted quantum graph $P_{s_1,\ldots,s_q}$ as follows:

\begin{equation*}P_{s_1,\ldots,s_q}=\prod _{1\le i\lt j\le q}\prod _{k\in [4]}\sum _{W\in {\mathcal{M}}^{ij}_k} ({-}1)^{\left |W\cap V_i\right |}P[W].\end{equation*}

Observe that each constituent of the quantum graph $P_{s_1,\ldots,s_q}$ has exactly $4\cdot \binom{q}{2}=2q(q-1)$ non-root vertices, and the $s_1+\cdots +s_q$ roots form an independent set. We remark that the $(s_1,\ldots,s_q)$ -rooted quantum graph

(3) \begin{equation} \sum _{W\in{\mathcal{M}}^{ij}_k} ({-}1)^{\left |W\cap V_i\right |}P[W] \end{equation}

from the definition of $P_{s_1,\ldots,s_q}$ can also be obtained in the following alternative way, which gives additional insight into the definition of $P_{s_1,\ldots,s_q}$ . Let $P^{\prime}[v]$ be the $(s_1,\ldots,s_q,1)$ -rooted graph such that $P^{\prime}[v]$ has no non-root vertices, $v$ is a root contained in one of the first $q$ groups of roots, and the only edge of $P^{\prime}[v]$ is an edge joining the vertex $v$ and the single root contained in the last group. For $1\le i\lt j\le q$ and $k\in [4]$ , the $(s_1,\ldots,s_q)$ -rooted quantum graph (3) can be obtained from the $(s_1,\ldots,s_q,1)$ -rooted graph

\begin{equation*}\prod _{vu\in M^{ij}_k}\left (P^{\prime}[v]-P^{\prime}[u]\right )\end{equation*}

by changing the single root contained in the last group to a non-root vertex.

For the rest of the proof, fix a $q$ -step kernel $U$ and let $z_i$ , $i\in [q]$ , be any vertex of $U$ contained in the $i$ -th part of $U$ . Consider a choice $x_v$ , $v\in V(G)$ , of roots. Suppose that $G$ has an edge $uv$ such that $u\in V_i$ , $v\in V_j$ , $1\le i\lt j\le q$ , $uv\in M_k$ , $k\in [4]$ , and the vertices $x_u$ and $x_{v}$ belong to the same part of the kernel $U$ . Observe that

\begin{align*} &\sum _{W\in{\mathcal{M}}^{ij}_k} ({-}1)^{\left |W\cap V_i\right |}\prod _{w\in W}U(x_w,y)\\ & \quad = \sum _{\substack{W\in{\mathcal{M}}^{ij}_k\\u\in W}} ({-}1)^{\left |W\cap V_i\right |}\prod _{w\in W}U(x_w,y)+ \sum _{\substack{W\in{\mathcal{M}}^{ij}_k\\v\in W}} ({-}1)^{\left |W\cap V_i\right |}\prod _{w\in W}U(x_w,y)\\ & \quad= \sum _{\substack{W\in{\mathcal{M}}^{ij}_k\\u\in W}} ({-}1)^{\left |W\cap V_i\right |}\prod _{w\in W}U(x_w,y)+ \sum _{\substack{W\in{\mathcal{M}}^{ij}_k\\u\in W}} ({-}1)^{\left |W\cap V_i\right |-1}U(x_{v},y)\prod _{w\in W\setminus \{u\}}U(x_w,y)\\ & \quad= \sum _{\substack{W\in{\mathcal{M}}^{ij}_k\\u\in W}} ({-}1)^{\left |W\cap V_i\right |}\left (U(x_u,y)-U(x_{v},y)\right )\prod _{w\in W\setminus \{u\}}U(x_w,y)\\ & \quad= \ 0. \end{align*}

It follows that $t_{x_{V(G)}}(P_{s_1,\ldots,s_q},U)=0$ if the colouring of the vertices of $G$ such that $v$ is coloured with the part containing $x_v$ is not a proper colouring of $G$ . Either Lemma 3 or Lemma 4 (depending on the parity of $q$ ) implies that $t_{x_{V(G)}}(P_{s_1,\ldots,s_q},U)\not =0$ only if all roots from each of the $q$ groups of roots are chosen from the same part of $U$ and the roots from different groups are chosen from different parts. If this is indeed the case and $q$ is odd, the properties of the graph $G$ given in Lemma 4 imply that

(4) \begin{equation} t_{x_{V(G)}}\left(P_{s_1,\ldots,s_q},U\right)=\prod _{1\le i\lt j\le q}\left (\int _{[0,1]}\left (U(z_i,y)-U(z_j,y)\right )^{q+1}\mbox{d} y\right )^4. \end{equation}

This is positive since for every distinct $i,j\in [q]$ there is a positive measure of $y$ with $U(z_i,y)\not = U(z_j,z)$ (as otherwise the $i$ -th and $j$ -th parts can be merged together contrary to the definition of a $q$ -step kernel). Hence, the existence of $d_0$ follows and it is equal to the right-hand side of (4), which does not depend on the values of $s_1,\ldots,s_q$ . Similarly, if $q$ is even, the existence of $d_0$ follows from Lemma 3 and the definition of $P_{s_1,\ldots,s_q}$ , and its value is

(5) \begin{equation} d_0=\prod _{1\le i\lt j\le q}\left (\int _{[0,1]}\left (U(z_i,y)-U(z_j,y)\right )^{q+2}\mbox{d} y\right )^2 \left (\int _{[0,1]}\left (U(z_i,y)-U(z_j,y)\right )^{q}\mbox{d} y\right )^2. \end{equation}

The proof of the lemma is now completed.

We emphasise that the value of $d_0$ from the statement of Lemma 5 depends on the kernel $U$ only, that is, it does not depend on $s_1,\ldots,s_q$ ; namely, $d_0$ is given by the right-hand side of (4) or (5) depending on the parity of $q$ , the number of parts of the step kernel $U$ .

4. Main result

We start with a construction of a quantum graph that restricts the density of each part $A$ of a step kernel $U$ , that is, the value of $U$ on $A\times A$ .

Lemma 6. For all integers $q\ge 2$ , $k\in [q]$ and reals $d_1,\ldots,d_k$ , there exists a quantum graph $R_{d_1,\ldots,d_k}$ such that each constituent of $R_{d_1,\ldots,d_k}$ has $3q^2$ vertices and the following holds for every $q$ -step kernel $U$ : $t\!\left(R_{d_1,\ldots,d_k},U\right)=0$ if and only if the density of each part of $U$ is one of the reals $d_1,\ldots,d_k$ .

Proof. Fix $q\ge 2$ and reals $d_1,\ldots,d_k$ . Let $P_{q+2,\ldots,q+2}$ be the graph from Lemma 5. Note that $P_{q+2,\ldots,q+2}$ has $q(q+2)+2q(q-1)=3q^2$ vertices. For $m\in [0,2k]$ , we set $P^{(m)}_{q+2,\ldots,q+2}$ to be a graph obtained from $P_{q+2,\ldots,q+2}$ by adding arbitrary $m$ edges among the roots in the first group (without creating parallel edges); note that this is possible since $2k\le 2q\le \binom{q+2}{2}$ . Further, let $p(x)$ be the polynomial defined as

\begin{equation*}p(x)=\prod _{i=1}^k(x-d_i)^2,\end{equation*}

and set $R_{d_1,\ldots,d_k}$ to be the quantum graph obtained from the expansion of $p(x)$ into monomials by replacing each monomial $x^m$ , including $x^0$ , with $\left[\!\!\;\left[ P^{(m)}_{q+2,\ldots,q+2}\right]\!\!\;\right]_{}$ .

Consider any $q$ -step kernel $U$ and let $d_0=d_0(U)\gt 0$ be the constant from Lemma 5. Observe that

\begin{equation*}t\!\left (\left[\!\!\;\left[ P^{(m)}_{q+2,\ldots,q+2}\right]\!\!\;\right]_{},U\right )=d_0(q-1)!\left (\prod _{i=1}^q a_i^{q+2}\right )\left (\sum _{i=1}^q p_i^m\right ),\end{equation*}

where $a_i$ is the measure and $p_i$ is the density of the $i$ -th part of $U$ , $i\in [q]$ ; note that the term $(q-1)!$ counts possible choices of parts of $U$ for the second, third, etc. group of roots while the choices of the part for the first group of roots are accounted for by the last sum in the expression. It follows that

\begin{equation*}t\!\left (R_{d_1,\ldots,d_k},U\right )=d_0(q-1)!\left (\prod _{i=1}^q a_i^{q+2}\right )\left (\sum _{i=1}^q p(p_i)\right ),\end{equation*}

which, using $p(x)\ge 0$ for all $x\in{\mathbb R}$ , is equal to zero if and only if $p(p_i)=0$ for every $i\in [q]$ . The latter holds if and only if each $p_i$ is one of the reals $d_1,\ldots,d_k$ (note that $p(x)\gt 0$ unless $x\in \{d_1,\ldots,d_k\}$ ), and so the quantum graph $R_{d_1,\ldots,d_k}$ has the properties given in the statement of the lemma.

The next lemma provides a quantum graph restricting densities between pairs of parts of a step kernel; its proof is similar to that of Lemma 6, however, we include it for completeness.

Lemma 7. For all integers $q\ge 2$ , $k\in [q(q-1)/2]$ and reals $d_1,\ldots,d_k$ , there exists a quantum graph $S_{d_1,\ldots,d_k}$ with $3q^2$ vertices such that the following holds for every $q$ -step kernel $U$ : $t\!\left(S_{d_1,\ldots,d_k},U\right)=0$ if and only if the density between each pair of distinct parts of $U$ is one of the reals $d_1,\ldots,d_k$ .

Proof. Fix $q\ge 2$ and reals $d_1,\ldots,d_k$ . Let $P_{q+2,\ldots,q+2}$ be the graph from Lemma 5. Recall that $P_{q+2,\ldots,q+2}$ has $q(q+2)+2q(q-1)=3q^2$ vertices. For $m\in [0,2k]$ , we set $P^{(m)}_{q+2,\ldots,q+2}$ to be a graph obtained from $P_{q+2,\ldots,q+2}$ by adding arbitrary $m$ edges joining a root in the first group and a root in the second group without creating parallel edges; note that this is possible since $2k\le q(q-1)\le (q+2)^2$ . Further, let $p(x)$ be the polynomial defined as

\begin{equation*}p(x)=\prod _{i=1}^k(x-d_i)^2,\end{equation*}

and set $S_{d_1,\ldots,d_k}$ to be the quantum graph obtained from the expansion of $p(x)$ by replacing $x^m$ with $\left[\!\!\;\left[ P^{(m)}_{q+2,\ldots,q+2}\right]\!\!\;\right]_{}$ .

Consider a $q$ -step kernel $U$ and let $d_0=d_0(U)\gt 0$ be the constant from Lemma 5. Observe that

\begin{equation*}t\!\left (\left[\!\!\;\left[ P^{(m)}_{q+2,\ldots,q+2}\right]\!\!\;\right]_{},U\right )=2d_0(q-2)!\left (\prod _{i=1}^q a_i^{q+2}\right )\left (\sum _{1\le i\lt j\le q} p_{ij}^m\right ),\end{equation*}

where $a_i$ is the measure of the $i$ -th part of $U$ , $i\in [q]$ , and $p_{ij}$ is the density between the $i$ -th and $j$ -th part of $U$ , $1\le i\lt j\le q$ . It follows that

\begin{equation*}t\!\left (S_{d_1,\ldots,d_k},U\right )=2d_0(q-2)!\left (\prod _{i=1}^q a_i^{q+2}\right )\left (\sum _{1\le i\lt j\le q}p\!\left (p_{ij}\right )\right ),\end{equation*}

which (by $p\ge 0$ ) is equal to zero if and only if $p(p_{ij})=0$ for all $1\le i\lt j\le q$ . The latter holds if and only if each $p_{ij}$ , $1\le i\lt j\le q$ , is one of the reals $d_1,\ldots,d_k$ , and so the quantum graph $S_{d_1,\ldots,d_k}$ has the properties given in the statement of the lemma.

We next present a construction of a rooted quantum graph that “tests” whether there is a permutation of parts of a step kernel matching densities in a given matrix $D$ . As the value of $d_0$ in Lemma 5, the value of $c_0$ in Lemma 8 does not depend on $s_1,\ldots,s_q$ , namely, it depends on the matrix $D$ and the kernel $U$ only.

Lemma 8. For all integers $q\ge 2$ , $s_1,\ldots,s_q\in [q+2,2q+2]$ and a symmetric real matrix $D\in{\mathbb R}^{q\times q}$ , there exists an $(s_1,\ldots,s_q)$ -rooted quantum graph $T_{s_1,\ldots,s_q}$ satisfying the following. Each constituent of $T_{s_1,\ldots,s_q}$ has $2q(q-1)$ non-root vertices, and if $U$ is a $q$ -step kernel such that

  • the density of each part of $U$ is one of the diagonal entries of $D$ , and

  • the density between each pair of the parts of $U$ is one of the off-diagonal entries of $D$ ,

then there exists $c_0=c_0(D,U)\not =0$ , which does not depend on $s_1,\ldots,s_q$ , such that $t_{\star }\left(T_{s_1,\ldots,s_q},U\right)$ is either $0$ or $c_0$ for all choices of roots and it is non-zero if and only if

  • all roots from each of the $q$ groups of roots are chosen from the same part of $U$ ,

  • roots from different groups are chosen from different parts of $U$ ,

  • $D_{ii}$ is the density of the part of $U$ that the $i$ -th group of roots is chosen from, and

  • $D_{ij}$ is the density between the parts of $U$ that the $i$ -th and $j$ -th groups of roots are chosen from.

Proof. Fix integers $q\ge 2$ , $s_1,\ldots,s_q\in [q+2,2q+2]$ , and a matrix $D$ . Let $Z_1$ be the set containing the values of diagonal entries of $D$ and $Z_2$ the set containing the values of off-diagonal entries of $D$ . We next define a polynomial $p$ , whose $\binom{q+1}{2}$ are variables are indexed by pairs $ij$ with $1\le i\le j\le q$ , as follows:

\begin{equation*}p\!\left(x_{11},x_{12},\ldots,x_{q-1,q},x_{q,q}\right)= \left (\prod _{i=1}^q\prod _{z\in Z_1\setminus \{D_{ii}\}}(x_{ii}-z)\right ) \left ( \prod _{1\le i\lt j\le q}\prod _{z\in Z_2\setminus \{D_{ij}\}}(x_{ij}-z)\right ).\end{equation*}

Let $P_{s_1,\ldots,s_q}$ be the graph from Lemma 5. For $m_{ii}\in [0,|Z_1|]$ , $i\in [q]$ , and $m_{ij}\in [0,|Z_2|]$ , $1\le i\lt j\le k$ , let $P^{m_{11},m_{12},\ldots,m_{q,q}}_{s_1,\ldots,s_q}$ be an $(s_1,\ldots,s_q)$ -rooted quantum graph obtained from $P_{s_1,\ldots,s_q}$ by adding arbitrary $m_{ij}$ edges joining roots in the $i$ -th group and with the roots in the $j$ -th group for $1\le i\le j\le q$ (without creating parallel edges). The $(s_1,\ldots,s_q)$ -rooted quantum graph $T_{s_1,\ldots,s_q}$ is obtained from the expansion of $p\!\left(x_{11},x_{12},\ldots,x_{q,q}\right)$ into monomials by replacing each monomial $x_{11}^{m_{11}}x_{12}^{m_{12}}\cdots x_{q,q}^{m_{q,q}}$ with $P^{m_{11},m_{12},\ldots,m_{q,q}}_{s_1,\ldots,s_q}$ $\big($ including the monomial $x_{11}^0\cdots x_{q,q}^0\big)$ .

Fix a $q$ -step kernel $U$ such that

  • the density of each part of $U$ belongs to $Z_1$ , and

  • the density between each pair of the parts of $U$ belongs to $Z_2$ .

Let $d_0=d_0(U)\gt 0$ be the constant from Lemma 5. Note that $t_{\star }\left (T_{s_1,\ldots,s_q},U\right )=0$ unless

  • all roots from each of the $q$ groups of roots are chosen from the same part of $U$ ,

  • roots from different groups are chosen from different parts of $U$ ,

  • $D_{ii}$ is the density of the part of $U$ that the $i$ -th group of roots is chosen from, and

  • $D_{ij}$ is the density between the parts of $U$ that the $i$ -th and $j$ -th groups of roots are chosen from,

and if $t_{\star }\left (T_{s_1,\ldots,s_q},U\right )\not =0$ , then it is equal to

\begin{equation*} c_0=d_0\left (\prod _{i=1}^q\prod _{z\in Z_1\setminus \{D_{ii}\}}(D_{ii}-z)\right ) \left ( \prod _{1\le i\lt j\le q}\prod _{z\in Z_2\setminus \{D_{ij}\}}(D_{ij}-z)\right )\not =0. \end{equation*}

Hence, the $(s_1,\ldots,s_q)$ -rooted quantum graph $T_{s_1,\ldots,s_q}$ has the properties given in the statement of the lemma.

To prove the main result of this paper, we need the following well-known result, which we state explicitly for reference.

Lemma 9. For every $q\ge 1$ and reals $z_1,\ldots,z_q$ , the following system of equations has at most one solution $x_1,\ldots,x_q\in \mathbb R$ (up to a permutation of the values):

\begin{equation*} \begin {array}{c@{\quad}c@{\quad}c@{\quad}c@{\quad}c@{\quad}c@{\quad}l} x_1 & + & \cdots & + & x_q & = & z_1 \\ x_1^{2} & + & \cdots & + & x_q^{2} & = & z_2 \\ \vdots & & \vdots & & \vdots & & \vdots \\ x_1^{q} & + & \cdots & + & x_q^{q} & = & z_{q}. \end {array} \end{equation*}

Proof. The system of equations gives the first $q$ power sums of $x_1,\dots,x_q$ . By Newton’s identities (see e.g., [Reference Macdonald40, Equation (2.11 $^{\prime}$ )]), this determines the first $q$ elementary symmetric polynomials, which are the coefficients of the polynomial $\prod _{i=1}^q(x+x_i)$ . Therefore any other solution $y_1,\dots,y_q$ of the system satisfies that $\prod _{i=1}^q(x+x_i)=\prod _{i=1}^q(x+y_i)$ , which yields the statement of the lemma because of the uniqueness of polynomial factorisation.

We are now ready to prove our main result, which implies Theorem 1 stated in Section 1.

Theorem 10. The following holds for every $q\ge 2$ and every $q$ -step kernel $U$ : if the density of each graph with at most $4q^2-q$ vertices in a kernel $U^{\prime}$ is the same as in $U$ , then the kernels $U$ and $U^{\prime}$ are weakly isomorphic.

Proof. Fix a $q$ -step kernel $U$ . Let $a_1,\ldots,a_q$ be the measures of the $q$ parts. Further let $D\in{\mathbb R}^{q\times q}$ be the matrix such that $D_{ii}$ is the density of the $i$ -th part of $U$ and $D_{ij}$ , $i\not =j$ , is the density between the $i$ -th and $j$ -th part.

Consider a kernel $U^{\prime}$ such that $t(H,U)=t(H,U^{\prime})$ for all graphs with at most $4q^2-q$ vertices. Since each constituent of the quantum graphs $Q_{q}$ and $Q_{q+1}$ from Lemma 2 has $q(q+1)$ and $(q+1)(q+2)\le 4q^2-q$ vertices, respectively, it holds that $t\!\left(Q_{q},U^{\prime}\right)\not =0$ and $t\!\left(Q_{q+1},U^{\prime}\right)=0$ (as they are the same as the corresponding densities in $U$ ). We conclude using Lemma 2 that $U^{\prime}$ is a $q$ -step kernel.

Let $R_{D_{11},\ldots,D_{qq}}$ be the quantum graph from the statement of Lemma 6; note that each constituent of $R_{D_{11},\ldots,D_{qq}}$ has $3q^2\le 4q^2-q$ vertices. Since $t(R_{D_{11},\ldots,D_{qq}},U^{\prime})=0$ (as the value is the same as for the kernel $U$ ), Lemma 6 yields that the density of each part of $U^{\prime}$ is equal to one of the diagonal entries of $D$ . Similarly, Lemma 7 applied with the off-diagonal entries of $D$ yields that the density between any pair of parts of $U^{\prime}$ is equal to one of the off-diagonal entries of $D$ . In addition, the $(q+2,\ldots,q+2)$ -rooted quantum graph $T_{q+2,\ldots,q+2}$ from Lemma 8 applied with the matrix $D$ satisfies $t\!\left([\![ T_{q+2,\ldots,q+2}]\!]_{},U\right)\not =0$ ; thus it holds that $t\!\left([\![ T_{q+2,\ldots,q+2}]\!]_{},U^{\prime}\right)\not =0$ . Hence, we derive using Lemma 8 that, after possibly permuting the parts of $U^{\prime}$ , the density of the $i$ -th part of $U^{\prime}$ is $D_{ii}$ and the density between the $i$ -th and $j$ -th parts of $U^{\prime}$ is $D_{ij}$ .

Let $d_0=d_0(U)\gt 0$ be the constant from Lemma 5 for the kernel $U$ . Observe that, for each $k\in [0,q]$ , the following holds for the rooted quantum graph $P_{q+k+2,q+2,\ldots,q+2}$ from Lemma 5:

\begin{equation*} t\!\left ([\![ P_{q+k+2,q+2,\ldots,q+2}]\!]_{},U\right )=d_0(q-1)!\left (\prod _{j=1}^qa_j^{q+2}\right )\left (\sum _{i=1}^q a_i^{k}\right ). \end{equation*}

It follows that the following holds for every $k\in [q]$ :

\begin{equation*}\sum _{i=1}^q a_i^{k}=\frac {q\cdot t\!\left ([\![ P_{q+k+2,q+2,\ldots,q+2}]\!]_{},U\right )}{t\!\left ([\![ P_{q+2,q+2,\ldots,q+2}]\!]_{},U\right )}.\end{equation*}

Similarly, with $a^{\prime}_i$ denoting the measure of the $i$ -th part of $U^{\prime}$ , we obtain that

\begin{equation*}\sum _{i=1}^q \left (a^{\prime}_i\right )^{k}=\frac {q\cdot t\!\left ([\![ P_{q+k+2,q+2,\ldots,q+2}]\!]_{},U^{\prime}\right )}{t\!\left ([\![ P_{q+2,q+2,\ldots,q+2}]\!]_{},U^{\prime}\right )}.\end{equation*}

Hence, Lemma 9 and the assumption that the homomorphism densities of all graphs with at most $q(q+2)+q+2q(q-1)=3q^2+q\le 4q^2-q$ vertices are the same in $U$ and $U^{\prime}$ implies that the multisets $a_1,\ldots,a_q$ and $a^{\prime}_1,\ldots,a^{\prime}_q$ are the same.

Let $c_0=c_0(D,U)\not =0$ be the constant from Lemma 8 for the kernel $U$ and let $\Pi _D$ be the set of all permutations $\pi$ of the parts of $U$ such that the densities inside the parts and between the parts in $U$ and after applying $\pi$ to the parts of $U$ are still as given by $D$ . Observe that it holds that

\begin{equation*}t\!\left([\![ T_{s_1,\ldots,s_q}]\!]_{},U\right)=c_0\sum _{\pi \in \Pi _D}\prod _{i=1}^q a_{\pi (i)}^{s_i}.\end{equation*}

Let $p(x_1,\ldots,x_q)$ be the polynomial defined as

\begin{equation*}p(x_1,\ldots,x_q)=\left (\prod _{j=1}^q x_j^{q+2}\right )\left (\prod _{i=1}^q \prod _{a\in \{a_1,\dots,a_q\}\setminus \{a_i\}} (x_i-a)\right ).\end{equation*}

Note that each variable in each monomial of $p$ has degree between $q+2$ and $2q+1$ . Since each $a_i$ is non-zero, we have for all $q$ -tuples $(x_1,\dots,x_q)$ of reals with $\{x_1,\dots,x_q\}\subseteq \{a_1,\dots,a_q\}$ that $p(x_1,\ldots,x_q)=0$ if and only if there exists $i\in [q]$ such that $x_i\not =a_i$ . Let $T$ be the quantum graph obtained from the polynomial $p$ by expanding it and then replacing each monomial $x_1^{s_1}\cdots x_q^{s_q}$ with $[\![ T_{s_1,\ldots,s_q}]\!]_{}$ (including the monomial $x_1^0\cdots x_1^0$ ). Note that the number of vertices of each constituent of $T$ is at most $q(2q+1)+2q(q-1)=4q^2-q$ and

\begin{equation*}t(T,U)=c_0\sum _{\pi \in \Pi _D}p(a_{\pi (1)},\ldots,a_{\pi (q)}).\end{equation*}

In particular, it holds that $t(T,U)\not =0$ and so $t(T,U^{\prime})\not =0$ . Along the same lines, we obtain that

\begin{equation*}t(T,U^{\prime})=c^{\prime}_0 \sum _{\pi \in \Pi ^{\prime}_D}p\!\left(a^{\prime}_{\pi (1)},\ldots,a^{\prime}_{\pi (q)}\right),\end{equation*}

where $c^{\prime}_0 =c_0(D,U^{\prime})\not =0$ is the constant from Lemma 8 for the kernel $U^{\prime}$ and $\Pi ^{\prime}_D$ is the set of all permutations $\pi$ of the parts of $U^{\prime}$ such that the densities of the parts and between the parts after applying $\pi$ are as given by $D$ . Since it holds that $t(T,U^{\prime})\not =0$ , the set $\Pi ^{\prime}_D$ is non-empty. It follows that $\Pi ^{\prime}_D$ contains a permutation $\pi$ such that $a^{\prime}_{\pi (i)}=a_i$ for all $i\in [q]$ , which implies that the kernels $U$ and $U^{\prime}$ are weakly isomorphic.

5. Parts with different degrees

In this section, we show that a $q$ -step kernel such that its vertices contained in different parts have different degrees is forced by graphs with at most $2q+1$ vertices.

Theorem 11. The following holds for every $q\ge 2$ and every $q$ -step kernel $U$ such that the degrees of vertices in different parts are different: if the density of each graph with at most $2q+1$ vertices in a kernel $U^{\prime}$ is the same as in $U$ , then the kernels $U$ and $U^{\prime}$ are weakly isomorphic.

Proof. Fix $q\ge 2$ , a $q$ -step kernel $U$ and a kernel $U^{\prime}$ such that $t(H,U)=t(H,U^{\prime})$ for every graph $H$ with at most $2q+1$ vertices. For $i\in [q]$ , let $A_i$ be the $i$ -th part of $U$ , $a_i$ be the measure of $A_i$ , and let $d_i$ be the common degree of the vertices contained in $A_i$ .

Let $K_1^{\bullet }$ and $K_2^{\bullet }$ be the $1$ -rooted graphs obtained from $K_1$ and $K_2$ , respectively, by choosing one of their vertices to be the root. Note that $t_x(K_2^{\bullet }-d K_1^{\bullet },V)=0$ if and only if the degree of $x$ in a kernel $V$ is $d$ . It follows that a kernel $V$ satisfies that

(6) \begin{equation} t\!\left (\left[\!\!\left[ \prod _{i\in [q]}\left (K_2^{\bullet }-d_i K_1^{\bullet }\right )^2\right]\!\!\right]_{},V\right )=0 \end{equation}

if and only if the degree of almost every vertex of $V$ is one of the numbers $d_1,\ldots,d_q$ . Next observe that if a kernel $V$ satisfies (6) and

(7) \begin{equation} t\!\left (\left[\!\!\left[ \prod _{i\in [q]\setminus \{k\}}\left (K_2^{\bullet }-d_i K_1^{\bullet }\right )\right]\!\!\right]_{},V\right )= a_k \prod _{i\in [q]\setminus \{k\}}\left (d_k-d_i\right ) \end{equation}

for $k\in [q]$ , then the measure of the set of vertices of $V$ with degree equal to $d_k$ is $a_k$ . Since $U$ satisfies (6) and (7) for every $k\in [q]$ and the graphs appearing in (6) and (7) have at most $2q+1$ and $q$ vertices, respectively, the vertex set of the kernel $U^{\prime}$ can be partitioned into $q$ (measurable) sets $A^{\prime}_1,\ldots,A^{\prime}_q$ and a null set $A^{\prime}_0$ such that the measure of $A^{\prime}_k$ is $a_k$ and all vertices contained in $A^{\prime}_k$ have degree equal to $d_k$ for every $k\in [q]$ .

Let $G^{\bullet \bullet }$ , $G^{\circ \bullet }$ and $G^{\bullet \circ }$ be the following $2$ -rooted graphs: $G^{\bullet \bullet }$ consists of two isolated roots only, $G^{\circ \bullet }$ is obtained from $G^{\bullet \bullet }$ by adding a non-root vertex adjacent to the first root, and $G^{\bullet \circ }$ is obtained from $G^{\bullet \bullet }$ by adding a non-root vertex adjacent to the second root. For $k,\ell \in [q]$ , let $H_{k\ell }$ be the $2$ -rooted quantum graph defined as

\begin{equation*}H_{k\ell }=\left (\prod _{i\in [q]\setminus \{k\}}\left (G^{\circ \bullet }-d_i G^{\bullet \bullet }\right )\right )\times \left (\prod _{j\in [q]\setminus \{\ell \}}\left (G^{\bullet \circ }-d_j G^{\bullet \bullet }\right )\right ),\end{equation*}

and observe that

\begin{equation*} t_{xy}\left (H_{k\ell },U^{\prime}\right )=\left (\prod _{i\in [q]\setminus \{k\}}\left (d_k-d_i\right )\right )\left ( \prod _{j\in [q]\setminus \{\ell \}}\left (d_\ell -d_j\right )\right ) \end{equation*}

if the degree of $x$ is $d_k$ and the degree of $y$ is $d_\ell$ , and $t_{xy}\left (H_{k\ell },U^{\prime}\right )=0$ otherwise. In particular, it follows that

(8) \begin{equation} t\!\left ([\![ H_{k\ell }]\!]_{},U^{\prime}\right )=a_ka_\ell \left (\prod _{i\in [q]\setminus \{k\}}\left (d_k-d_i\right )\right )\left ( \prod _{j\in [q]\setminus \{\ell \}}\left (d_\ell -d_j\right )\right ). \end{equation}

Note that each constituent of the $2$ -rooted quantum graph $H_{k\ell }$ has at most $2q$ vertices. Let $H^{\prime}_{k\ell }$ be the $2$ -rooted quantum graph obtained from $H_{k\ell }$ by joining the two roots in each of its constituents by an edge. Similarly as above, one can show that

(9) \begin{equation} t\!\left ([\![ H^{\prime}_{k\ell }]\!]_{},U^{\prime}\right )=\left (\int _{A^{\prime}_k\times A^{\prime}_\ell } U^{\prime}(x,y)\mbox{d} x\mbox{d} y\right ) \left (\prod _{i\in [q]\setminus \{k\}}\left (d_k-d_i\right )\right )\left ( \prod _{j\in [q]\setminus \{\ell \}}\left (d_\ell -d_j\right )\right ). \end{equation}

Using (8) and (9), we obtain that

\begin{equation*} \frac {\int _{A^{\prime}_k\times A^{\prime}_\ell } U^{\prime}(x,y)\mbox {d} x \mbox {d} y}{a_ka_{\ell }}= \frac {t\!\left ([\![ H^{\prime}_{k\ell }]\!]_{},U^{\prime}\right )}{t\!\left ([\![ H_{k\ell }]\!]_{},U^{\prime}\right )}= \frac {t\!\left ([\![ H^{\prime}_{k\ell }]\!]_{},U\right )}{t\!\left ([\![ H_{k\ell }]\!]_{},U\right )}= \frac {\int _{A_k\times A_\ell } U(x,y)\mbox {d} x \mbox {d} y}{a_ka_{\ell }}, \end{equation*}

that is, the average density between the parts $A^{\prime}_k$ and $A^{\prime}_\ell$ in the kernel $U^{\prime}$ is the same as the density between the parts $A_k$ and $A_\ell$ in the kernel $U$ .

We now recall that each step kernel is the unique (up to weak isomorphism) minimiser of the density of $C_4$ among all kernels with the same number of parts of the same measures and the same density between them. This statement for step graphons with parts of equal measure appears in [Reference Cooper, Král’ and Martins12, Lemma 11] and the same proof applies for kernels with parts not necessarily having the same sizes; also see [Reference Lovász36, Propositions 14.13 and 14.14] for related results. Since $t(C_4,U)=t(C_4,U^{\prime})$ , it follows that $U^{\prime}$ is weakly isomorphic to $U$ .

6. Concluding remarks

Theorem 10 asserts that every $q$ -step kernel is forced by graphs with at most $4q^2-q$ vertices. We do not know whether it suffices to consider homomorphism densities of graphs with $o(q^2)$ vertices, both in the case of kernels and in the more restrictive case of graphons. We leave this as an open problem.

We finish by establishing that it is necessary to consider graphs with the number of vertices linear in $q$ . The argument is similar to that used in analogous scenarios, for example, in [Reference Erdős, Lovász and Spencer18, Reference Glebov, Grzesik, Klimošová and Král’21]. For reals $a_1,\ldots,a_q\in (0,1)$ such that $a_1+\cdots +a_q\lt 1$ , let $U_{a_1,\ldots,a_q}$ be the $(q+1)$ -step graphon with parts of measures $a_1,\ldots,a_q$ and $1-a_1-\cdots -a_q$ such that the graphon $U_{a_1,\ldots,a_q}$ is equal to one within each of the first $q$ parts and to zero elsewhere. Observe that if $H$ is a graph, which consists of $k$ components with $n_1,\ldots,n_k$ vertices after the removal of isolated vertices, then

\begin{equation*}t\!\left (H,U_{a_1,\ldots,a_q}\right )=\prod _{i=1}^k\sum _{j=1}^q a_j^{n_i}=\prod _{i=1}^kt\left (K_{n_i},U_{a_1,\ldots,a_q}\right ).\end{equation*}

It follows that if

(10) \begin{equation} t\!\left (K_{\ell +1},U_{a_1,\ldots,a_q}\right )=t\!\left (K_{\ell +1},U_{a^{\prime}_1,\ldots,a^{\prime}_q}\right )\quad \mbox{ for every $\ell \in [q-1]$,} \end{equation}

then the homomorphism density of every graph with at most $q$ vertices is the same in $U_{a_1,\ldots,a_q}$ and in $U_{a^{\prime}_1,\ldots,a^{\prime}_q}$ . When $f\!\left(a_1,\dots,a_q\right)=\left(t\!\left(K_{\ell +1},U_{a_1,\ldots,a_q}\right)\right)_{\ell =1}^{q-1}$ is viewed as a function of $a_1,\ldots,a_q$ , then its Jacobian matrix $J$ with respect to the first $q-1$ coordinates is

(11) \begin{equation} \left [\begin{array}{c@{\quad}c@{\quad}c} 2a_1&\cdots & 2 a_{q-1}\\ 3a_1^2&\cdots & 3 a_{q-1}^2\\ \vdots & &\vdots \\ q a_1^{q-1}&\cdots & q a_{q-1}^{a-1} \end{array}\right ] = \left [\begin{array}{c@{\quad}c@{\quad}c} 2\\ &\ddots \\ && q \end{array}\right ] \left [\begin{array}{c@{\quad}c@{\quad}c} 1&\cdots & 1\\ a_1&\cdots & a_{q-1}\\ \vdots & &\vdots \\ a_1^{q-2}&\cdots & a_{q-1}^{a-2} \end{array}\right ] \left [\begin{array}{c@{\quad}c@{\quad}c} a_1\\ &\ddots \\ && a_{q-1} \end{array}\right ]. \end{equation}

Fix any distinct positive reals $a_1,\dots,a_q$ with sum less than $1$ . Note that the middle matrix in (11) is the Vandermonde matrix of $(a_1,\dots,a_{q-1})$ and thus the Jacobian matrix $J$ is non-singular. By the Implicit Function Theorem, for every $a^{\prime}_q $ sufficiently close to $a_q$ there is a vector $\left(a^{\prime}_1,\ldots,a^{\prime}_{q-1}\right)$ close to $(a_1,\dots,q_q)$ such that (10) holds. By making $a^{\prime}_q $ sufficiently close but not equal to $a_q$ , we can ensure that $a^{\prime}_q \not \in \{a_1,\dots,a_q\}$ and that all elements $a^{\prime}_i $ are positive and sum to less than $1$ . Thus we obtain two $(q+1)$ -step graphons, namely $U_{a_1,\dots,a_q}$ and $U_{a^{\prime}_1,\dots,a^{\prime}_q}$ , that have the same homomorphism density of every graph with at most $q$ vertices but are not weakly isomorphic; the latter can be established by, for example, applying the proof of Theorem 10 to these two graphons (alternatively, it also follows from the general analytic characterisation of weakly isomorphic kernels [Reference Lovász36, Theorem 13.10]).

Acknowledgement

The authors would like to thank both anonymous reviewers for their comments that have improved the presentation of the results in the paper.

Footnotes

*

An extended abstract announcing the results presented in this paper has been published in the Proceedings of Eurocomb’23.

Andrzej Grzesik: Supported by the National Science Centre grant number 2021/42/E/ST1/00193.

Daniel Král’: Supported by the MUNI Award in Science and Humanities (MUNI/I/1677/2018) of the Grant Agency of Masaryk University.

§

Oleg Pikhurko: Supported by ERC Advanced Grant 101020255 and Leverhulme Research Project Grant RPG-2018-424.

References

Borgs, C., Chayes, J. and Lovász, L. (2010) Moments of two-variable functions and the uniqueness of graph limits. Geom. Funct. Anal. 19 15971619.Google Scholar
Borgs, C., Chayes, J. T., Cohn, H. and Ganguly, S. (2021) Consistent nonparametric estimation for heavy-tailed sparse graphs. Ann. Stat. 49 19041930.Google Scholar
Bucić, M., Long, E., Shapira, A. and Sudakov, B. (2021) Tournament quasirandomness from local counting. Combinatorica 41 175208.Google Scholar
Chan, T., Král’, D., Noel, J. A., Pehova, Y., Sharifzadeh, M. and Volec, J. (2020) Characterization of quasirandom permutations by a pattern sum. Random Struct. Algorithms 57 920939.Google Scholar
Chung, F. R. K. and Graham, R. L. (1990) Quasi-random hypergraphs. Random Struct. Algorithms 1 105124.Google Scholar
Chung, F. R. K. and Graham, R. L. (1991) Quasi-random set systems. J. Am. Math. Soc. 4 151196.Google Scholar
Chung, F. R. K. and Graham, R. L. (1991) Quasi-random tournaments. J. Graph Theory 15 173198.Google Scholar
Chung, F. R. K. and Graham, R. L. (1992) Quasi-random subsets of $Z_n$ . J. Comb. Theory Ser. A 61 6486.Google Scholar
Chung, F. R. K., Graham, R. L. and Wilson, R. M. (1989) Quasi-random graphs. Combinatorica 9 345362.Google Scholar
Cooper, J. N. (2004) Quasirandom permutations. J. Comb. Theory Ser. A 106 123143.Google Scholar
Cooper, J. W., Král’, D., Lamaison, A. and Mohr, S. (2022) Quasirandom Latin squares. Random Struct. Algorithms 61 298308.Google Scholar
Cooper, J. W., Král’, D. and Martins, T. (2018) Finitely forcible graph limits are universal. Adv. Math. 340 819854.Google Scholar
Coregliano, L. N., Parente, R. F. and Sato, C. M. (2019) On the maximum density of fixed strongly connected subtournaments. Electron. J. Comb. 26 P1.44.Google Scholar
Coregliano, L. N. and Razborov, A. A. (2017) On the density of transitive tournaments. J. Graph Theory 85 1221.Google Scholar
Coregliano, L. N. and Razborov, A. A. (2020) Natural quasirandomness properties, preprint arXiv: 2012.11773.Google Scholar
Diaconis, P. and Janson, S. (2008) Graph limits and exchangeable random graphs. Rend. Mat. Appl. 28 3361.Google Scholar
Eberhard, S., Manners, F. and Mrazović, R. (2022) Transversals in quasirandom Latin squares, preprint arXiv: 2209.02180.Google Scholar
Erdős, P., Lovász, L. and Spencer, J. (1979) Strong independence of graphcopy functions. In Graph Theory and Related Topics. Academic Press, pp. 165172.Google Scholar
Gao, C., Lu, Y. and Zhou, H. H. (2015) Rate-optimal graphon estimation. Ann. Stat. 43 26242652.Google Scholar
Garbe, F., Hancock, R., Hladký, J. and Sharifzadeh, M. (2020) Limits of Latin squares, preprint arXiv: 2010.07854.Google Scholar
Glebov, R., Grzesik, A., Klimošová, T. and Král’, D. (2015) Finitely forcible graphons and permutons. J. Comb. Theory Ser. B 110 112135.Google Scholar
Gowers, W. T. (2006) Quasirandomness, counting and regularity for 3-uniform hypergraphs. Comb. Probab. Comput. 15 143184.Google Scholar
Gowers, W. T. (2007) Hypergraph regularity and the multidimensional Szemerédi theorem. Ann. Math. 166 897946.Google Scholar
Gowers, W. T. (2008) Quasirandom groups. Comb. Probab. Comput. 17 363387.Google Scholar
Gowers, W. T. and Long, J. (2020) Partial associativity and rough approximate groups. Geom. Funct. Anal. 30 165.Google Scholar
Grzesik, A., Il’kovič, D., Kielak, B. and Král’, D. (2022) Quasirandom forcing orientations of cycles, preprint arXiv: 2212.09343.Google Scholar
Grzesik, A., Král’, D. and Lovász, L. M. (2020) Elusive extremal graphs. Proc. Lond. Math. Soc. 121 16851736.Google Scholar
Hancock, R., Kabela, A., Král’, D., Martins, T., Parente, R., Skerman, F. and Volec, J. (2023) No additional tournaments are quasirandom-forcing. Eur. J. Comb. 108 103632.Google Scholar
Haviland, J. and Thomason, A. (1989) Pseudo-random hypergraphs. Discrete Math. 75 255278.Google Scholar
Klopp, O., Tsybakov, A. B. and Verzelen, N. (2017) Oracle inequalities for network models and sparse graphon estimation. Ann. Stat. 45 316354.Google Scholar
Klopp, O. and Verzelen, N. (2019) Optimal graphon estimation in cut distance. Probab. Theory Relat. Fields 174 10331090.CrossRefGoogle Scholar
Kohayakawa, Y., Rödl, V. and Skokan, J. (2002) Hypergraphs, quasi-randomness, and conditions for regularity. J. Comb. Theory Ser. A 97 307352.Google Scholar
Král’, D., Lovász, L. M., Noel, J. A. and Sosnovec, J. (2020) Finitely forcible graphons with an almost arbitrary structure. Discrete Anal. 2020 Article 9, 36pp.Google Scholar
Král’, D. and Pikhurko, O. (2013) Quasirandom permutations are characterized by 4-point densities. Geom. Funct. Anal. 23 570579.Google Scholar
Kureĉka, M. (2022) Lower bound on the size of a quasirandom forcing set of permutations. Comb. Probab. Comput. 31 304319.Google Scholar
Lovász, L. (2012) Large Networks and Graph Limits, Vol. 60 of Colloquium Publications, American Mathematical Society.Google Scholar
Lovász, L. and Sós, V. (2008) Generalized quasirandom graphs. J. Comb. Theory Ser. B 98 146163.Google Scholar
Lovász, L. and Szegedy, B. (2006) Limits of dense graph sequences. J. Comb. Theory Ser. B 96 933957.Google Scholar
Lovász, L. and Szegedy, B. (2011) Finitely forcible graphons. J. Comb. Theory Ser. B 101 269301.Google Scholar
Macdonald, I. G. (1995) Symmetric Functions and Hall Polynomials, 2nd edition. Oxford University Press.Google Scholar
Nagle, B., Rödl, V. and Schaht, M. (2006) The counting lemma for regular k-uniform hypergraphs. Random Struct. Algorithms 28 113179.Google Scholar
Rödl, V. (1986) On universality of graphs with uniformly distributed edges. Discrete Math. 59 125134.Google Scholar
Rödl, V. and Skokan, J. (2004) Regularity lemma fork-uniform hypergraphs. Random Struct. Algorithms 25 142.Google Scholar
Simonovits, M. and Sós, V. T. (1991) Szemerédi’s partition and quasirandomness. Random Struct. Algorithms 2 110.Google Scholar
Spencer, J. (2010) Quasirandom multitype graphs. In An Irregular Mind, Vol. 21 of Bolyai Society Mathematical Studies, Springer, pp. 607617.Google Scholar
Thomason, A. (1987) Pseudo-random graphs. Ann. Discrete Math. 144, 307331.Google Scholar
Thomason, A. (1987) Random graphs, strongly regular graphs and pseudo-random graphs. In Surveys in Combinatorics, Vol. 123 of London Mathematical Society Lecture Note Series, pp. 173196.Google Scholar
Figure 0

Figure 1. The $6$-rooted quantum graph $Q_3^{12}$.