Beyond the Erd\H{o}s Matching Conjecture
Peter Frankl, Andrey Kupavskii

TL;DR
This paper extends classical combinatorial theorems by determining maximum family sizes under generalized union constraints, generalizing the Erdős Matching Conjecture and Erdős-Ko-Rado theorem, with specific insights for small set sizes.
Contribution
It generalizes the Erdős Matching Conjecture and Erdős-Ko-Rado theorem to broader union properties, providing new bounds and characterizations for extremal families.
Findings
Determined maximum sizes of $U(s,q)$ families for large $n$.
Proved a generalized Erdős-Ko-Rado theorem for $n > s^2k$.
Identified multiple extremal families for the case $k=3$.
Abstract
A family is of for any we have . This notion generalizes the property of a family to be -intersecting and to have matching number smaller than . In this paper, we find the maximum for that are , provided with moderate . In particular, we generalize the result of the first author on the Erd\H{o}s Matching Conjecture and prove a generalization of the Erd\H{o}s-Ko-Rado theorem, which states that for the largest family with property is the star and is in particular intersecting. (Conversely, it is easy to see that any intersecting family in is .) We investigate the case more thoroughly, showing that, unlike in the case of…
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Taxonomy
TopicsLimits and Structures in Graph Theory
Beyond the Erdős Matching Conjecture
Peter Frankl
Rényi Institute, Budapest, Hungary; MIPT, Moscow, Russia; Email: [email protected]
and
Andrey Kupavskii
CNRS, Grenoble, France; IAS, Princeton, US; MIPT, Moscow, Russia; Email: [email protected].
Abstract.
A family is of for any we have . This notion generalizes the property of a family to be -intersecting and to have matching number smaller than .
In this paper, we find the maximum for that are , provided with moderate . In particular, we generalize the result of the first author on the Erdős Matching Conjecture and prove a generalization of the Erdős–Ko–Rado theorem, which states that for the largest family with property is the star and is in particular intersecting. (Conversely, it is easy to see that any intersecting family in is .)
We investigate the case more thoroughly, showing that, unlike in the case of the Erdős Matching Conjecture, in general there may be extremal families.
1. Introduction
Let be the standard –element set and let denote the collection of all its -subsets, . A -graph (or a -uniform family) is simply a subset of . Let us recall two fundamental results from extremal set theory.
Theorem 1** (Erdős–Ko–Rado Theorem [6]).**
Let be a positive integer, and suppose that for all pairs of edges of the -graph . Then
[TABLE]
holds for all . Moreover, if then we can take .
The family \big{\{}F\in{[n]\choose k}:[t]\subset F\big{\}} shows that (1) is the best possible.
Let be non-negative integers with . Define
[TABLE]
(We omit when they are clear from the context.) The Erdős–Ko–Rado family mentioned above is simply . These families arise in several important results and open questions in extremal set theory.
The following extension of the Erdős–Ko–Rado theorem was conjectured by Frankl [8], proved in many cases by Frankl and Füredi [13], and nearly 20 years later proved in full generality by Ahlswede and Khachatrian [1].
Theorem 2** (Complete Intersection Theorem [1]).**
Suppose that is -intersecting, . Then
[TABLE]
Moreover, unless or is isomorphic to , the inequality is strict.
For a -graph let denote its matching number, that is, the maximum number of pairwise disjoint edges in . Obviously, for every positive integer , \nu\big{(}{[(s+1)k-1]\choose k}\big{)}=s.
The Erdős Matching Conjecture (the EMC for short) is one of the central open problems in extremal set theory.
Conjecture 1** (EMC [4]).**
Let and . If then
[TABLE]
We note that both families appearing on the right hand side have matching number . It is known to be true for (cf. [5], [12]).
We should mention that Erdős proved (4) for . For such values of the bound is
[TABLE]
Improving earlier bounds [3, 16], (5) was proved by the first author in [11] for . For this was further improved by the present authors to (cf. [15]).
Both the above results forbid certain intersection patterns (two sets intersecting in less than elements or sets having pairwise empty intersection). In the present paper, we study restrictions on the maximum size of the union, rather than intersections, of edges of . This setting permits to unify the above two results and to formulate a natural new problem.
Definition 3**.**
Let and be integers. A -graph is said to have property if
[TABLE]
for all choices of . For shorthand, we will also say is to refer to this property.
With this definition, being is equivalent to being -intersecting and, similarly, being is equivalent to .
Definition 4**.**
Let be integers, , , . Define as the maximum of over all , where has property .
With this terminology, Theorem 2 states that
[TABLE]
and the EMC can be formulated as
[TABLE]
For all choices of , we have
[TABLE]
Thus, the EMC and the Complete Intersection Theorem may be seen as particular cases of the following general conjecture.
Conjecture 2**.**
For all choices one has for an appropriate choice of with having property . More precisely, if with , then .
In particular, Theorem 2 is the case , of the conjecture.
Let us remark that the non-uniform version of Conjecture 2 goes back to the PhD dissertation of the first author (cf. also [7] and [9] where it is proved in a certain range). Let us also mention that the case of the non-uniform case is a classical result of Katona [17].
1.1. Simple properties of
Let us give some additional motivation for the question. Recall the following definition.
Definition 1**.**
Consider two sets with for . Then iff for every . We say that a family is shifted if and implies .
For many extremal problems, including the ones mentioned above, it is sufficient to prove the statements for shifted families. Let be a shifted family satisfying . In dealing with such families one often considers subfamilies of the form {\mathcal{F}}\big{(}\bar{[r]}\big{)}:=\{F\in{\mathcal{F}}:F\cap[r]=\emptyset\}. As we noted above, is equivalent to being . Due to shiftedness, {\mathcal{F}}\big{(}\bar{[r]}\big{)} has property .
There is a certain hierarchy for properties in the range . To explain it, recall that has property for .
Proposition 5**.**
If then
[TABLE]
Proof.
Let be a shifted family satisfying property . Then is by shiftedness, and so follows. Since , we get . ∎
Shiftedness also allows us to prove the following proposition.
Proposition 6**.**
Assume that is shifted and has property for with . Then . Consequently, .
Proof.
Assume that this is not the case. This means that there exists such that for . Any such satisfies , where , and thus because is shifted. But then also belong to for each . However, , a contradiction with the property. ∎
1.2. Results
In this paper, we start exploring the quantity . One of the most appealing cases of our general results is the following generalization of the ( case of the) Erdős–Ko–Rado theorem.
Theorem 7**.**
Fix some positive integers . Assume that and has property . In words, the latter condition means that for any . Then .
We note that any intersecting family has property since for any , , and so, for any , . Moreover, it is not difficult to see that, as long as is not a star and , has property for some .
Theorem 7 is an immediate corollary of the following general theorem. In it, we determine for all and . Naturally, we are only interested in the values .
Theorem 8**.**
Fix some integers , such that and . Suppose that has property for . If 111One may simply say instead, if the exact form of the dependence is not important where
[TABLE]
then
[TABLE]
In particular, for and we retrieve the bound on the size of the family as in the Erdős Matching Conjecture, while for and we get the bound from the Erdős–Ko–Rado theorem. Note that as .
**Remarks. ** The function looks complicated, which is partially due to the generality of the statement. Let us illustrate it on a few examples. First, if one substitutes and , then , and we get the bound , exactly the restriction in [11, Theorem 1.1], which guarantees that the Erdős Matching Conjecture holds in this range. For and , we get that , and, roughly speaking, Theorem 8 holds for .
For , the theorem implies Theorem 7.
**Sharpness. ** The aforementioned rough bound is sharp up to a small constant factor: it is not difficult to see that is bigger than for with, say, . This, in particular, tells us that the bound in Theorem 7 is just a constant factor away from the best possible.
** ** As we have already mentioned, the EMC is proved for by the first author. In the next section, we obtain some rather strong partial results concerning for different values of . Probably the most interesting feature of these results is that, depending on the value of , we will show that each of the three constructions available for may be extremal. For precise results, see Theorems 12, 13, 21.
**Structure of the paper. ** The proof of Theorem 8 is given in Section 3. In the next section, we resolve the problem for some small values of . Most of the results are devoted to the case .
2. Results for small
2.1. The complete solution for .
Throughout this section is a -graph having property with . Recall the definition (2). Then and are .
Theorem 9**.**
For all values of ,
[TABLE]
The case of the theorem is a classical result of Erdős and Gallai, determining the maximum number of edges in a graph without pairwise disjoint edges.
Proof.
Let . In the case , we have . From now on we suppose that .
Claim 10**.**
.
Proof.
Indeed, if we can find with , then enables us to find edges such that . This contradicts . ∎
Applying the Erdős–Gallai theorem [5] (for a short proof, see [2] or the next section) to yields
[TABLE]
and proves (9). ∎
2.2. The case
Let us first state a very simple result.
Claim 11**.**
* for .*
Proof.
Let have property . Consider If holds then we can easily find satisfying , a contradiction. Thus as desired. ∎
Theorem 12**.**
Let be for . Then
[TABLE]
Let us note that this theorem for includes the aforementioned Erdős-Gallai result, as well as the result from the previous subsection. The proof is a generalization of the proof in [2].
Proof.
W.l.o.g. assume that is shifted. Consider the collection of sets \big{\{}(1,\ldots,k-2,i+k-2,2t+1-i+k-2):i\in[t]\big{\}}\cup\big{\{}(1,\ldots,k-1,j):j\in[2t+k-1,s+t+k-2]\big{\}}. These are sets in total. Moreover, their union is , and, therefore, one of these sets is not in .
- •
Since we get , which implies that all sets of the form , are in ;
- •
since we get .
Therefore, one of the sets for some is missing. This implies that Thus
[TABLE]
We note that , while . Therefore, to conclude the proof of the theorem, it suffices to show that is an integer convex function for . (Recall that is an integer convex function on a certain interval if on that interval.) Note that if a function on an interval is convex then it is integer convex on the same interval.
Let us note that , yielding . The function is convex for , and thus the first term is convex for . The second term in the definition of is integer convex. Indeed, for any , we have f_{1}(\ell-1)+f_{1}(\ell+1)\geq\big{(}{\ell-1+k-3\choose k-1}+{\ell+1+k-3\choose k-1}\big{)}(n-2t+\ell-k+2), which is bigger than due to integer convexity of for . We conclude that is integer convex for . ∎
2.3. The case ,
For , (each of) the theorems from the previous two sections resolve the problem completely. For , Theorem 12 covers the cases with . Thus, the case mentioned in the title of this section is the “first” case, not covered by Theorem 12. As we would see, the situation changes quite significantly: instead of having two potential extremal families, we shall have three.
Consider a family that is . There are three natural candidates for extremal families here (cf. (2)):
[TABLE]
In particular, contains all sets that contain and . It is easy to see that all three families are . Let us make the following conjecture.
Conjecture 3**.**
If is then .
Unlike in the case of the Erdős Matching Conjecture, each of the three families is the largest for each in a certain interval depending on . Let us show that. We have
[TABLE]
therefore, for roughly , and smaller otherwise. Next, we have
[TABLE]
and iff . For large , this happens roughly for .
Theorem 13**.**
Assume that is and, moreover, and . Then
[TABLE]
Let us also note that Theorem 8 gives for . In Section 2.5, we will show (in a more general setting) that in a certain range for any that is .
Proof.
Let be shifted and , , . In particular, , .
Consider , , . Then
[TABLE]
Recall that Proposition 6 implies that and thus also
[TABLE]
Claim 14**.**
. Consequently, .
Proof.
Otherwise, for . Together with these are sets with union . As for the second part, only sets from with may be included in . ∎
Remark. Should , would follow in a similar way.
Claim 15**.**
We have .
Proof.
Indeed, otherwise there are sets in , whose union is . Together with sets , we get sets whose union is . ∎
Since the Erdős Matching Conjecture holds for (cf. [12]), we have .
To prove we need to show
[TABLE]
We have . Using Claim 14, we get that the right hand side of (10) is at most
[TABLE]
On the other hand, the left hand side of (10) is
[TABLE]
Given that , the left hand side of (10) is bigger than the right hand side if
[TABLE]
which holds for any . ∎
2.4. The complete solution for , .
In this section, we prove a stronger form of Conjecture 3 for these parameters.
Theorem 16**.**
Let be shifted and satisfy . Then
[TABLE]
unless
Simple computation shows that is given by for , for and for .
Proof of Theorem 16.
The statement is obvious for since is . In what follows, we assume that . Arguing indirectly, assume that is not contained in any of . Then, by shiftedness, this implies that
- (i)
- (ii)
- (iii)
Claim 17**.**
* and .*
Proof.
Using shiftedness, if then . Together with (iii) this contradicts .
Similarly, if then and (ii) gives the contradiction with . ∎
Claim 18**.**
\big{|}{\mathcal{F}}\cap{[7]\choose 3}\big{|}\leq{7\choose 3}-10=25.
Proof.
There are pairs with , and both sets in each pair cannot appear together in due to (i). ∎
Claim 19**.**
.
Proof.
The contrary would imply for with . Consequently, .
However, the right hand side of (11) is at least for . ∎
Combined with (ii), we get the following corollary.
Corollary 20**.**
.
Now implies
[TABLE]
Using Claim 18, we infer that
[TABLE]
The right hand side is strictly less than for and strictly less than for . This concludes the proof. ∎
2.5. The case , for small
In this section, we study families that are for with some small . We show in particular that from Section 2.3 is the largest in a certain range. Reusing the notation from Section 2.3, let us define the following families:
[TABLE]
Theorem 21**.**
Let be with . Assume that . Then .
As we have seen in Theorems 8 and 13, both the upper and the lower bounds on are tight up to constants.
Proof.
Take as in the theorem and w.l.o.g. assume that is shifted and . This implies .
Let us define the following sets :
[TABLE]
Clearly,
[TABLE]
Next, define by
[TABLE]
Then and
[TABLE]
In particular, the union of the sets and is . Consequently, at least one of them is missing from .
We prove the theorem separately according to whether for some or for some .
Proposition 22**.**
If not all , , are in then .
Proof.
Note first that iff with . It is easy to see that implies that there are sets such that .
It is not difficult to see that, for any , , there is such that , and thus , a contradiction. ∎
Since , we have and . On the other hand, we have An easy, but tedious, calculation shows that the first inequality below holds.
[TABLE]
Since , the right hand side is at least .
Thus, we may assume that , is not in . We want to conclude the proof by showing that .
For any , we have . Thus, we can bound
[TABLE]
On the other hand, if , . The number of choices of is at most , and the number of choices of is Thus, to show that , we need to show
[TABLE]
Let us show this for some range of by (reverse) induction on . For , the left hand side is , and the right hand side is and thus the inequality is satisfied. When passing from to , the LHS increases by , and the RHS increases by . Since , we are good as long as . If this inequality does not hold, then the RHS of the displayed inequality is at least , which is bigger than the LHS as long as . This holds for
∎
3. Proof of Theorem 8
We say that the families are cross-dependent if there are no such that for any . We say that the families are nested if .
Since the -property is preserved by shifting, we may w.l.o.g. assume that is shifted.
Denote \mathcal{G}(B):=\big{\{}G\setminus[p+1]:G\in\mathcal{G},G\cap[p+1]=B\big{\}}. Then
[TABLE]
Claim 23**.**
For any , , we have .
Proof.
Indeed, the opposite gives members of whose union has size , a contradiction with the property. ∎
Similarly, we can obtain the following claim.
Claim 24**.**
For fixed , any families , where and (note that some of the will coincide for ), are cross-dependent.
Proof.
Indeed, the opposite gives members of whose union has size , a contradiction. ∎
Let us recall that the following theorem was proved in [11].
Theorem 25** ([11]).**
If satisfies then .
Note that, for and of the same size and such that (cf. Definition 1), we have due to the fact that is shifted. Similarly,
[TABLE]
and, combined with Theorem 25, we get that
[TABLE]
Applying (14) to any given , we can get that, for any ,
[TABLE]
Summing this over all and noting that each -subset of is contained in -subsets of , we get that
[TABLE]
Using that , we get that, for any ,
[TABLE]
Similarly,
[TABLE]
Summing these two expressions for , we get that
[TABLE]
where
[TABLE]
The following lemma (in the particular case ) was proved in [11] (see [11, Theorem 3.1] and also [14, Lemma 5]).
Lemma 26**.**
Let for some , , and suppose that are cross-dependent and nested. Then
[TABLE]
Fix and assume that . For each , the -tuple
[TABLE]
(note that occurs times in this tuple in total) is cross-dependent by Claim 24. Moreover, after reordering, it is nested with the smallest family being . Apply Lemma 26 to for each and sum up the corresponding inequalities. Note that gets coefficient in this summation ( from and from each of the , ). Thus, for fixed and provided
[TABLE]
we get
[TABLE]
Next, we sum this inequality over all . Note that, for each , it will appear in summands as above, and, for each , it will appear in exactly summand. That is, we get
[TABLE]
Put . Note that \big{|}{\mathcal{A}}^{\prime}_{p,r}\cap\{F:|F\cap[p+1]|=r\}\big{|}={p\choose r}{n-p-1\choose k-r}, that is, up to a multiplicative factor , the right hand side of the last formula above. Therefore, we divide both parts by and rewrite this formula as follows.
[TABLE]
where
[TABLE]
Therefore, if , then, using (15), the inequality (18) implies that
[TABLE]
which, together with (13), completes the proof of the theorem. Finally, the inequality is equivalent to
[TABLE]
Since , we may take . Then the inequality above, as well as the inequality (17) is satisfied. This completes the proof.
4. Final remarks
The question of determining in general seems to be very hard since it includes some difficult questions, notably the Erdős Matching Conjecture, as a subcase. However, such a generalization of the problem might be easier to deal with by means of induction.
We believe that the first natural case to settle completely is the case. The first author proved the Erdős Matching Conjecture for and any in [12]. We have obtained some partial results in Theorems 12, 13 and 21, which notably show that each of the potential extremal families suggested by Conjecture 2 are extremal in some ranges. However, a full resolution requires much more work. It seems that the case of large may be simpler, in particular because some tools are available for large (cf. [15]). Concluding, we suggest the following particular case of Conjecture 2.
Problem**.**
Determine for all and all meaningful .
5. Acknowledgements
We thank Adam Zsolt Wagner for pointing out a typo in the formulation of Conjecture 2 and anonymous referees for pointing out several issues with the text. The research of the second author was supported by the Advanced Postdoc.Mobility grant no. P300P2_177839 of the Swiss National Science Foundation (results in Section 2). The research of both authors was supported by the Ministry of Education and Science of the Russian Federation in the framework of MegaGrant no 075-15-2019-1926.
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