1. Introduction
Denote
as
. Assume that
. Let
We call
P an
biquadratic form. Here
are real numbers. We assume that
for
. A PSD (positive semi-definite) biquadratic form is one for which
for all
. It is an SOS (sum of squares) if it can be written as a finite sum of squares of bilinear forms, i.e.,
where
are
bilinear forms for
. The smallest
r such that (
1) holds is called the SOS rank of
P, denoted as
. In this case, we say that the sum-of-squares expression
is
irreducible. The maximum SOS rank of
SOS biquadratic forms is denoted as
. It is known that
and
[
1],
[
2] and
[
3].
Recently, it was proved [
4] that
where
is the Zarankiewicz number [
5]. The Zarankiewicz problem, originating from [
5], asks for the maximum number of edges in an
bipartite graph that contains no complete bipartite subgraph
(i.e., no
). This classical extremal problem has been extensively studied; see [
6,
7,
8] for surveys and fundamental bounds.
Inequality (
2) is based upon the simple biquadratic forms introduced in [
3]. A biquadratic form is a simple biquadratic form if it contains only distinct terms of the type
. Then we may establish a one-to-one relation. Let
be a bipartite graph, where
and
are the vertex sets and
E is the edge set. Then, uniquely, we have a simple biquadratic form
If
G has no
-cycles, then the simple biquadratic form
is irreducible, i.e.,
. On the other hand, the Zarankiewicz number
is defined as the largest number of edges such that the
bipartite graph
G is
-cycle-free [
5,
8]. Thus, we have (
2).
Example 1 ([
9])
. Define an eight-square sos biquadratic form aswhere It was proved that
Q is irreducible, i.e.,
. In this way, it was established that
The concept of an augmented bipartite graph arises naturally from the observation that a square of the sum of two bilinear terms, , introduces both pure squares and a cross term. This cross term does not correspond to a single edge in the classical bipartite graph, but rather acts as a “super-edge” that couples two cells. To capture the combinatorial essence of such SOS representations, we augment the classical -free graph with these super-edges, leading to the notion of an augmented bipartite graph. This framework not only unifies known examples where (e.g., case), but also provides a systematic way to search for higher SOS ranks. Moreover, the generalized -cycle conditions (Definition 1) encode the precise combinatorial obstructions that force linear dependencies among the associated vectors, thereby controlling the irreducibility of the resulting biquadratic form. From an application perspective, understanding the maximum SOS rank is crucial for polynomial optimization and tensor decomposition; our augmented Zarankiewicz numbers offer new lower bounds that are provably better than classical ones.
This observation raises the question of why such a phenomenon occurs. What is its meaning in the theory of the Zarankiewicz number? Now, is not a single-term square. It does not correspond to an edge of the bipartite graph G. But can we interpret it as a super-edge of G? This question motivates this paper.
The remainder of this paper is organized as follows.
Section 2 formally defines the augmented bipartite graph, the augmented Zarankiewicz number
, and the limited augmented Zarankiewicz number
, establishing the fundamental relationship
.
Section 3 and
Section 4 determine the exact values of
for the cases
,
,
, and
.
Section 5,
Section 6 and
Section 7 investigate and establish new lower bounds for
for the cases
,
, and
, respectively. Finally,
Section 8 concludes the paper by summarizing the results and presenting several open problems for future research.
2. Augmented Zarankiewicz Number and Limited Augmented Zarankiewicz Number
Let be an bipartite graph, where and are its vertex sets. Assume that has no -cycles. Then we say that can be augmented to an augmented bipartite graph , where the edge set . Here, we call any edge of a 1-edge of G, while is the 2-edge set of G.
A 1-edge e in has the form , where and . On the other hand, a 2-edge e in is formed , where and .
A 2-edge can be
nondegenerate if
and
,
row-degenerate if
and
, or
column-degenerate if
and
. It cannot be
and
. Illustrations of nondegenerate, row-degenerate, and column-degenerate 2-edges are shown in
Figure 1. Furthermore, we impose the following
simplicity condition (S) on such an augmented bipartite graph
G:
- (S)
No 2-edge overlaps with any 1-edge or other 2-edge on a cell.
Here, we call a cell for any and . If , we say that G is a limited augmented bipartite graph.
Figure 1.
Illustrations of the three types of 2-edges in an augmented bipartite graph. (a) Nondegenerate 2-edge with and . (b) Row-degenerate 2-edge where (same row) and . (c) Column-degenerate 2-edge where (same column) and . The two dotted lines represent the two halves of the 2-edge.
Figure 1.
Illustrations of the three types of 2-edges in an augmented bipartite graph. (a) Nondegenerate 2-edge with and . (b) Row-degenerate 2-edge where (same row) and . (c) Column-degenerate 2-edge where (same column) and . The two dotted lines represent the two halves of the 2-edge.
For such an augmented bipartite graph
G, we associate it with an
sos biquadratic form
, defined as
We call
a doubly simple biquadratic form. If
is irreducible, then the SOS rank of
is
. For instance, Example 1 is a
irreducible doubly simple biquadratic form with
We wish to characterize the combinatorial feature of irreducible doubly simple biquadratic forms.
We now refine the notion of a -cycle to account for how the presence of 2-edges can lead to a drop in the SOS rank. Before presenting the formal definition of a generalized -cycle, we provide an intuitive explanation. In a classical -free bipartite graph, no four distinct cells form a rectangle (Condition 1). When we add a 2-edge , it introduces a potential dependency if the two opposite cells and are both occupied (Condition 2). Furthermore, if there exists another cell that forms a rectangle with both halves of the 2-edge, the five cells involved may create a more complex obstruction (Condition 3). The generalization allows us to treat degenerate 2-edges (row- or column-degenerate) uniformly, where some cells may coincide.
Definition 1 (Generalized -Cycle, Augmented Zarankiewicz Number and Limited Augmented Zarankiewicz Number). Let be an augmented bipartite graph with vertex sets and , augmented from a -cycle-free bipartite graph . A cell is called occupied if or is a half of some 2-edge in . We say that G contains a generalized -cycle if either
- 1.
There exists a classical -cycle formed by 1-edges;
- 2.
There exists a nondegenerate 2-edge such that both opposite cells and are occupied;
- 3.
There exist a 2-edge (of any type) and a distinct cell , with , , and , such that the five cells and are all occupied. Furthermore, if the 2-edge is nondegenerate, these five cells must be pairwise distinct.
The augmented Zarankiewicz number is the maximum possible total number of edges for which a generalized -cycle does not exist for such an augmented bipartite graph G.
The limited augmented Zarankiewicz number is the maximum possible total number of edges for which a generalized -cycle does not exist for a limited augmented bipartite graph G.
Remark 1. Conditions 1 and 2 are natural and combinatorial. Condition 1 ensures that no classical appears. Condition 2 is necessary: if a nondegenerate 2
-edge had both opposite cells and occupied, then the associated vectors may satisfy a linear dependence, lowering the SOS rank. For a limited augmented bipartite graph, because , each half of a 2
-edge would form a with some distinct occupied cells (otherwise more 1-edges could be added). Condition 3 then guarantees that the two lists of such cells, those completing a with the first half and those completing a with the second half, have no intersection. Figure 2 presents an example in which Condition 3 in Definition 1 is triggered, since both the first half and the second half complete a with . Condition 3 handles more complex obstructions that arise when a 2
-edge interacts with a distant cell; it applies uniformly to all 2
-edge types (nondegenerate, row-degenerate, and column-degenerate). Theorem 1. Let and be an augmented bipartite graph with vertex sets and satisfying the simplicity condition (S) in Section 2. Then, if G does not contain any generalized -cycle in the sense of Definition 1, then defined by (
3)
is irreducible. Namely, . Proof. We prove by contradiction. Assume
. Then there exists an SOS decomposition with
r bilinear forms
such that
and
The proof is structured in three steps:
- 1.
Consequences of no generalized -cycle: Show that for any 2-edge, its two halves have equal vectors, and no such pair can lie in the minimal dependency support .
- 2.
Orthogonality: Prove that any two distinct cells in have orthogonal vectors, using Conditions 1–3.
- 3.
Contradiction: Orthogonal nonzero vectors are linearly independent, yet they satisfy a nontrivial linear relation—impossible.
We now proceed with the detailed proof.
For each pair
define the vector
. Let
H be the set of all cells that are either 1-edges or halves of 2-edges:
In words,
H consists of every cell that appears as a pure square
or as part of a square
in
. If
, then comparing coefficients shows
. By the simplicity condition (S), the
halves are all distinct and none belong to
; hence
Thus, the vectors
lie in
and
, so they are linearly dependent. Choose a nontrivial linear relation
with minimal support
. Minimality means that no proper nonempty subset of
yields a linear dependence among the vectors
.
By minimality, all vectors are nonzero and pairwise distinct as vectors. Indeed, if two distinct cells had , then we could replace , obtaining a relation with smaller support (unless , in which case both terms cancel). The minimality ensures this does not happen.
Expanding the squares and comparing coefficients yields
- (A1)
For every 1-edge : .
- (A2)
For every 2-edge :
- (A2nd)
If nondegenerate (, ): and .
- (A2cd)
If column-degenerate (, ): and .
- (A2rd)
If row-degenerate (, ): and .
- (B)
For any two distinct pairs and that are not the two halves of the same 2-edge:
- (B1)
If : .
- (B2)
If and : , unless and are the two halves of a row-degenerate 2-edge (in which case (A2rd) applies instead).
- (B3)
If and : , unless and are the two halves of a column-degenerate 2-edge (in which case (A2cd) applies instead).
- (C)
For pairs sharing a row or column that are not covered by the exceptions above: (same row, ) and (same column, ).
If it is nondegenerate: Since G has no generalized -cycle, Condition 2 of Definition 1 implies that at most one of the two opposite cells and is occupied. Hence, at least one of is zero. From (A2nd) we then obtain . Because , Cauchy–Schwarz forces .
If it is column-degenerate (), then (A2cd) gives , and with unit norms we get .
If it is row-degenerate (), then (A2rd) gives , and with unit norms we get .
Thus, every 2-edge contributes two equal vectors. Moreover, by the minimality observation, the two halves of a 2-edge cannot both belong to ; if they did, they would be equal vectors and distinct cells, contradicting the pairwise distinctness of vectors in .
Note that they cannot be the two halves of the same 2-edge by Step 1. We consider several cases.
Case A: The four indices are all distinct. Then, the following Equation applies:
Suppose, for contradiction, that . Then , so both and are occupied. Consequently the four cells are all in H.
If all four were 1-edges, they would form a classical , violating Condition 1 of Definition 1. Therefore, at least one of them is a half of a 2-edge. Without loss of generality, assume is a half of a 2-edge . Then by Step 1, and is occupied. Moreover, since , the other half cannot be in (otherwise two equal vectors would appear in the support), but .
Now consider the pair
and
. Their dot product is
. Apply (B1) to
and
:
so
; thus
and
are occupied.
We examine the possibilities for p and q relative to k and l.
If , then and . But and share the same row, so by (B2) (they are not halves of a column-degenerate 2-edge because and would force degeneracy only if , which is not the case), we have . Yet and , a contradiction.
If , then and share the same column, so (B3) gives while again contradicts .
Hence we must have
and
. In this situation, the five cells
are all distinct (because
,
,
and
). They are all occupied, and
is a 2-edge. Thus, the configuration satisfies Condition 3 of Definition 1, which is forbidden. This contradiction shows that our assumption
is impossible. Therefore,
.
Case B: They share a row ( and ). Then and are not the two halves of a column-degenerate 2-edge (otherwise, they would be equal by Step 1 and would not be distinct in ). Hence (B2) applies and gives .
Case C: They share a column ( and ). Similarly, they are not halves of a row-degenerate 2-edge, so (B3) gives .
Thus in all cases, for any two distinct positions , we have .
Step 3. Contradiction. The vectors in
are nonzero (by (A1) and Step 1) and pairwise orthogonal, so they are linearly independent. But they satisfy the nontrivial linear relation (
4), which is impossible. This contradiction shows that our assumption
was false. Hence
. □
Note that the absence of a generalized -cycle is a sufficient condition for the doubly simple biquadratic form to be irreducible, but it is not necessary. For instance, let ; ; and . Then the augmented bipartite graph satisfies Condition 2 and therefore contains a generalized -cycle. Nevertheless, the corresponding doubly simple biquadratic form is irreducible.
Theorem 2. For all , we have Proof. The inequality
is trivial by taking
. By definition,
. Let
G be an augmented bipartite graph that does not have a generalized
-cycle. By Theorem 1, the corresponding SOS biquadratic form
defined by (
3) satisfies
. Without loss of generality, suppose
G is a graph that achieves
. Consequently,
. □
Remark 2. In the following, we only consider the limited augmented bipartite graph that does not have a generalized -cycle. We focus on such graphs because (i) all cases we have considered fall into this category; (ii) the upper bound of is much simpler than that of ; (iii) for all low-dimensional cases we have examined, . Whether this equality always holds is an open question.
4. The Case
We now determine the exact value of the limited augmented Zarankiewicz number for .
Theorem 4. .
Proof. We prove the lower and upper bounds separately.
Lower bound . We construct a limited augmented bipartite graph
G with
and
that contains no generalized
-cycle. Let
and
An illustration is presented in
Figure 4. It is straightforward to verify that condition (S) holds and that Conditions 1 and 2 in Definition 1 are not triggered. We now proceed to check Condition 3. For the 2-edge
, we need
and
, i.e.,
and
. The candidates are
. In each case, at least one of the five cells
is unoccupied. Thus, Condition 3 is not triggered.
Since G contains no generalized -cycle, we have .
Let be any limited augmented bipartite graph with , , and no generalized -cycle. We must prove , which yields .
Step 1: The extremal 1-edge graph for . The classical Zarankiewicz number
is known [
7,
8]. Up to isomorphism, the extremal
-free bipartite graph with four vertices on each side and nine edges is
unique [
7]. After suitable row and column permutations, we may assume its edge set is
The adjacency matrix (rows 1–4, columns 1–4) is
The set of unoccupied cells (cells not in
) is
Step 2: Constraints on 2-edges. By the simplicity condition (S), no half of a 2-edge can belong to
, and all halves of 2-edges must be distinct. Therefore, for any 2-edge
, we must have
Additionally, Condition 2 of Definition 1 imposes restrictions: for a nondegenerate 2-edge (with and ), if both opposite cells and are occupied (i.e., belong to ), then a generalized -cycle exists. Thus, any admissible nondegenerate 2-edge must have at most one of its opposite cells occupied.
Step 3: Enumerate candidate 2-edges. We list all unordered pairs that could form a 2-edge.
Nondegenerate candidates (
and
):
Row-degenerate candidates (
and
):
Column-degenerate candidates (
and
):
The verification yields the admissible nondegenerate 2-edges:
Let us denote
Degenerate candidates:
We verify representative pairs; a complete systematic enumeration confirms the result.
Example: and . Consider . For , the five cells are . All are occupied: , (half of ), (half of ), and (half of ). For , the five cells are . All are occupied: (half of ), , and (half of ). Thus Condition 3 is triggered.
Example: and . For , consider . The five cells are . All are occupied: (half of ), , (half of ), and . Thus Condition 3 is triggered.
A complete check confirms that every pair of distinct admissible 2-edges triggers either Condition 2 or Condition 3. Therefore, we must have .
Step 6: Conclusion. Since
, we have
Combined with the lower bound construction (, with no generalized -cycle), we obtain . □
8. Conclusions and Open Problems
This paper introduced the augmented Zarankiewicz number
and the limited augmented Zarankiewicz number
as combinatorial extensions of the classical Zarankiewicz number. Each such graph
G corresponds to a doubly simple biquadratic form
, and the main theoretical result (Theorem 2) establishes the inequality chain
linking the maximum biquadratic SOS rank to these new graph parameters.
Our main combinatorial results determine the
exact values of the limited augmented Zarankiewicz number for all dimensions not exceeding four:
For parameters involving five rows, we established new lower bounds that improve upon the classical Zarankiewicz numbers:
We summarize the lower bounds for
of small
m and
n in
Table 2. These findings demonstrate that the augmented Zarankiewicz framework captures combinatorial obstructions to higher SOS rank that are invisible to the classical theory, thereby providing improved lower bounds for
. Note that our method is more efficient than the orthogonality method as
m and
n grow. For example, to check the irreducibility of the example in the proof of Theorem 7 by the orthogonality method, one needs to check 91 orthogonality relations. The work grows as
m and
n grow.
The work presented here lays the foundation for this new combinatorial approach. Several natural and challenging directions remain for future research.
- 1.
Complete the cases: A key next step is to prove that the lower bounds obtained in this paper for the
,
, and
cases are sharp, i.e., that
,
, and
. Verifying these exact values requires a full case analysis over all non-isomorphic extremal graphs for the classical numbers
,
, and
. The classification of extremal
-free bipartite graphs for these parameters is known in the literature [
7,
8], and the number of non-isomorphic extremal graphs is finite and manageable. The increased number of distinct frames makes this a more extensive combinatorial project, which will be the subject of forthcoming work.
- 2.
Asymptotic behavior: The classical Zarankiewicz number satisfies the Kővári–Sós–Turán bound . A fundamental open problem is to determine the asymptotic growth rate of . Does the introduction of 2-edges lead to a strictly larger asymptotic order, or does the same upper bound persist?
- 3.
Gap between and : Our construction shows that . If a gap exists, several issues can be investigated. First, is ? Second, should we relax the simplicity condition to allow two 2-edges to overlap? Third, should we consider more general SOS representations that involve squares of bilinear forms with more than two terms?
The problem investigated here lies at the intersection of algebraic geometry [
1,
2], extremal graph theory [
5,
6,
7,
8,
10,
11], and hypergraph theory. Recent developments in hypergraph Zarankiewicz-type problems [
12,
13] suggest that higher-order analogs of our construction may exist, where squares of multilinear forms correspond to edges in
k-uniform hypergraphs. Such connections point to a rich interplay between SOS representations and extremal combinatorics that merits further exploration.
The results for dimensions obtained in this paper represent a significant first step toward understanding this deeper connection. We hope that the concepts of and will provide a productive framework for future investigations into both the combinatorial and algebraic aspects of the biquadratic SOS rank problem.