Frankl’s Conjecture for Large Families: Ilan Karpas’ Proof
Combinatorics and more 2018-03-12
Frankl’s conjecture asserts that a for every finite family of of finite sets that is closed under union, there is an element that belongs to at least half the sets in the family. We mentioned the problem in our very first post, and Tim Gowers ran polymath 11 in attempt to solve it (first post, wikipage). See also this post over GLL and this post.
Here, I want to show Ilan Karpas’ proof (that we mentioned in this post) that the conjecture is correct for “large” families, namely, for families of at least subsets of
. Karpas’ proof is taken from his paper Two results on union closed families.
Can Fourier methods solve Frankl’s conjecture? I hope we could have a small discussion about it and related matters, and, in any case, I myself have some comments that I will leave to the comment section.
The theorem
Theorem (Karpas): If is a union closed family of subsets of
, and
then there exists an element
such that
.
Theorem 2 (Karpas): If is a family of subsets of
,
with the property
(*) If and
,
then either
or
.
Then there exists an element such that
.
The implication from Theorem 2 to Theorem 1 is very easy. If is a union-closed family and
is the complement of
, then
satisfies (*). (Otherwise,
and
and their union
must be in
. If
has at least
elements then
has at most
elements. If
, then
. We note that Condition (*) is weaker than the assertion that
is union closed and indeed Theorem 2 is sharp.
Background (a little more than needed)
Edge boundary/influence terminology
For a family of subsets of
its edge-boundary is defined by
The total influence of is defined by
Up and down edge boundaries:
Directional boundaries and individual influences
We now define:
,
,
The influence of on A is defined by:
Note that the assertion for Frankl’s conjecture is equivalent to: For every union-closed family there is
such that
. Equivalently for every family
whose complement is union-closed (such families are called “simply rooted”) there is
such that
.
Sensitivity/Pivotality
Now, fix a family of subsets of
, for
,
, if
and
otherwise.
if
and
. (In other words,
and
.)
if
and
. (In other words,
, and
.) Define also
Note that , and similarly for other types of influences.
Fourier
Let be a Boolean function defined as follows:
if
represents a set in
, and
, otherwise.
We write .
It is well known and easy to see that .
Parseval’s formula gives . It follows easily from Parseval’s formula that
and hence
The proof:
We write .
Our assumption (*) on is that if
and
,
then either
or
. In other words
for every
. This implies that
(1) .
We assume that Frankl’s conjecture is false namely that , for every
, or equivalently that
(2) ,
.
Summing over all s it follows that
hence
(3) .
From it follows that
(4) .
Note that
(5)
But
(6)
Combining (4,5,6) we get
, or
(7) .
(1) and (7) gives , a contradiction.