Our Diameter problem for families of sets
Consider a family of subsets of size d of the set N={1,2,…,n}.
Associate to a graph
as follows: The vertices of
are simply the sets in
. Two vertices
and
are adjacent if
.
For a subset let
denote the subfamily of all subsets of
which contain
.
MAIN ASSUMPTION: Suppose that for every for which
is not empty
is connected.
We will call a family satisfying this assumption “hereditarily connected”.
MAIN QUESTION: How large can the diameter of be in terms of
and
?
We denote the answer by .
For let
be the family obtained from
by removing
from every set. Since
, the diameter of
is at most
.
8. A slight generalization
Let be an hereditarily connected family of
-subsets of a set
. Let
be a subset of
. The length of a path of sets
modulo Y (where
for every
) is the number of
such that both
and
are subsets of
. (In other words, in
we consider edges between subsets of Y as having length 1 and other edges as having length 0.)
Let be the largest diameter of an hereditarily connected family of
-subsets of an arbitrary set
modulo a set Y ,
with
.
Since we can always take we have
.
9. A quasi-polynomial upper bound
We will now describe an argument giving a quasi-polynomial upper bound for . This is an abstract version of a geometric argument of Kleitmen and me.
Let be a hereditarily connected family of
-subsets of some set
, let
,
, and let
and
be two sets in the family.
Claim: We can always either
1) find paths of length at most modulo Y from
to
-subsets of
whose union has more than
elements.
or
2) we can find a path of this length modulo Y from
to
.
Proof of the claim: Let be the set of elements from
that we can reach in
steps modulo Y from
. (Let me explain it better:
is the elements of
in the union of all sets that can be reached in
steps modulo Y from
. Or even better:
is the intersection of
with the union of all sets in
which can be reached from
in
steps modulo Y. )
The distance of from
modulo Z is at most
.
Now, if we are in case 1).
If then there is a path from
to
modulo Z of length
. If this path reaches no set containing a point in
we are in case 1). (Because this path is actually a path of length
from
to
modulo Y). Otherwise, we reached via a path of length
modulo Y from
a set containing a point in
, in contradiction to the definition of
. Walla.
Corollary: .
By a path of length modulo Y we reach from
at least
elements in
, (or
). By a path of length
modulo Y we reach from
at least
elements in
, (or
). So unless we can go from
to
in
steps modulo Y we can reach more than
elements from both
and
by paths of length
modulo Y ,hence there is some element we can reach from both.
In other words in steps modulo Y we go from
to
and from
to
so that
and
share an element
.
But the distance from to
modulo Y (which is the same as the distance modulo Y from
to
in
is at most
. (We use here the fact that
) Ahla!
To solve the recurrence, first for convenience replace by
. (You get a weaker inequality.) Then write
to get
and
to get
which gives
which in turn gives
and
. Sababa!
This is the last post in the series. The proof presented here is an abstract version of a geometric proof for graphs of polytopes by Kalai and Kleitman. Different paths to weaker quasi-polynomial upper bounds can be found here. These bounds are linear when is fixed. A similar (even a bit simpler) argument under an even more general context was found by Razborov. (But I don’t remember it at present.) The argument above extends to the directed case. But finding an actual pivot rule for the simplex algorithm which comes close to this bound is out of reach.
I conjecture that is polynomial (and that this holds for
and even in the greater generality considered by Razborov). I also conjectured before that it is not a polynomial, but changed my mind. So frankly, I do not have a clue. Remember that it is even possible that
.
Summary of earlier posts: Part 1 describes the problem. (It is repeated here.) Part 2 describe the connection to the Hirsch Conjecture. Part 3 describes linear bound when is fixed. It also raises the question if past (or future) developements on the problem can be quasi-automatize. Part 5 follows a question from part 4 and describes a subexponential upper bound. Part 6 describes further the connection with linear programming and with shellability, and poses a directed version of the problem.
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