2 Partition Regular Equations
Schur’s theorem: has
monochromatic solutions (if
is finitely coloured).
Van der Waerden:
such that the system
has a monochromatic solution.
Main aim: decide when a system of equations is ‘partition regular’.
Definition (Partition regular).
Let
be a matrix over
and we say that
is partition regular (PR) if
whenever is finitely coloured,
there exists a monochromatic
such that .
Example.
-
(1)
Schur: says
is partition regular.
-
(2)
Van der Waerden: says
|
is partition regular.
-
(3)
is partition regular.
-
(4)
is partition regular (just take all to be equal).
-
(5)
?
Don’t know yet.
-
(6)
Non-example: .
Need .
Colour
by setting
to be red if the biggest power of
dividing it is even, and blue otherwise.
Definition (Column property).
We say that a rational matrix
has the column property (CP) if there exists a partition of
such
that:
-
(1)
-
(2)
(note that it doesn’t make a difference whether the span is the -linear
or -linear
span)
Example.
-
(1)
can take ,
,
hence it does have the column property.
-
(2)
Van der Waerden matrix from (2) in the previous example: take
and ,
which shows that it has the column property.
-
(3)
,
take
so it has column property.
-
(4)
does not have column property.
-
(5)
has column property if and only if .
-
(6)
doesn’t have the column property.
Aim:
Today we will look at a single equation, i.e. a single row matrix.
If we have a
matrix, then
is partition regular if and only
if is also partition regular.
So we may assume that .
Observation: has the column
property if and only if there exists a set
of non-zero elements such that
().
Also note that we may assume that .
We are going to show that if
partition regular then it has the column property, which is equivalent to
() in
this case.
Remark.
Even in this case, neither direction of Rado’s Theorem is easy.
Definition.
Let
and a
prime. Then we can write
with .
Denote by .
Proof.
Let be a huge
prime, . I give to the
number the colour
. Then by assumption,
there exists of the
same colour such that .
In symbols, let ,
. When we sum
and we look
at the last digit ,
we get , where
is the colour
of our s.
Then . Then
(and
note is
non-empty). □
Remark.
To this day, there are no other known proofs of this proposition.
Currently looking at: single equation, i.e. vectors ,
.
Showed that if is
partition regular then it has the column property (recall that in this one dimensional case, having the column property is the
same as there exists
such that ).
The other direction:
We want to take a vector
with
and show that it is partition regular.
For we know that it is
partition regular if and only if .
For length ,
is the only non-trivial case
with column property. Note
is Schur’s theorem.
Lemma 2.3.
Assuming that:
Then for any finite colouring of , there
exists a monochromatic solution to .
Remark.
We in fact show that whenever
is -coloured
(), then
we have a monochromatic solution.
Proof.
If
then nothing to show.
If
then ,
so these are equivalent.
Assume ,
,
.
Seek solution to .
Let
be a finite colouring. Prove this by induction on .
trivial.
Assume this is true for
and we want to show it for .
Assume
is suitable for .
We show that
is suitable for .
We now have
-coloured.
There exists a monochromatic arithmetic progression of length ,
say
of colour red. Let us look at ,
where .
Note ,
so “it is in our set of coloured numbers”.
If
is also red, then
is a monochromatic solution.
If no such
exists, then
is
coloured. So there exists
such that
and .
Then ,
i.e.
is a monochromatic solution. □
Remark.
-
(1)
This is “manually” same proof for Strengthened Van Waerden.
-
(2)
is Schur’s theorem (which you can prove by Ramsey). The general case ()
does not seem to be a proof “by Ramsey”.
Theorem 2.4 (Rado’s Theorem for single equation).
Assuming that:
Proof.
We saw in Proposition 2.2 that if it is partition regular then it has the column property.
For the other direction, we know that
and we need to show that given
such that there exists monochromatic
such that .
Fix and
we “cook up” the following vector:
|
Need
monochromatic such that ,
which is the same as requiring .
Upon dividing by ,
we see that this is the same as
which is true by Lemma 2.3. □
Remark.
Rado’s Boundedness Conjecture: Let
be an
matrix that is not partition regular. In other words, there exists a bad -colouring
for some .
Is this
bounded, i.e. ?
This is known for matrices
(Fox, Kleitman, 2006).
colours suffices in this case.
Onto the general case for Rado’s Theorem.
Recall that for a prime
and ,
.
Also recall .
Proposition 2.5.
Assuming that:
Proof.
Let
be its columns. Fix
prime.
Colour
as we did before, by .
By assumption there exists monochromatic
such that .
Let us partition
as
where
if and only if ,
,
for
if and only if .
We do this for infinitely many .
Because there exist finitely many partitions, for infinitely many primes
we will
have the same blocks.
-
For :
,
say all have colour ,
i.e. .
Then
(by collecting the right-most terms in base ).
Since this holds for infinitely many ,
we have that
for infinitely many primes (the large primes), and hence we have that .
-
.
Then
().
Claim: .
We will show that given
such that
got sll .
Then
which finishes the proof as this implies .
Take the inner product of ()
with .
Get
which is equivalent to .
Since this happens for infinitely many ,
we get .
□
A crucial notion that puts things into perspective is:
Definition (-set).
An -set
( the number of
generators, the range of
coefficients, the leading
coefficient) with
is the set of the following form:
|
We call these the
rows of the
-set.
Remark.
An -set
is sort of a progression of progressions.
Example.
-
1.
-set:
generators .
Have ,
then .
This is an arithmetic progression of length
with its common difference.
-
2.
-set:
,
then .
This is an arithmetic progression of length
with
times its common difference, and its middle term is divisible by .
Theorem 2.6.
Assuming that:
-
in
-
a finite colouring of
Proof.
By the above remark, it is enough to find a -set
set such that each row is monochromatic.
Let
be large enough (enough in order to apply everything to follow). Let
.
By Van der Waerden, there exists a monochromatic arithmetic progression of length
, with
is large
enough.
|
has colour .
Let .
Now we restrict attention to
|
Observe that
where ,
is in
for any
and any .
Thus has colour .
Next: look inside :
|
Apply Van der Waerden to find an arithmetic progression of length
, of
colour .
Let
|
of colour ,
and let
|
Note that for any
and .
Then
is in ,
thus has colour .
Keep on doing this
times. Restrict to
generators (by setting some
to ).
□
Remark.
For the sake of exams (and also in general):
Being “super” pedantic about
and bounds is not that important.
The idea is important.
Theorem 2.7 (Finite Sums Theorem).
Let
be fixed. Then whenever we finitely colour ,
there exist
such that
is monochromatic.
Also known as Folkman’s Theorem
Proof.
The previous theorem implies this: any -set
contains a set of the above desired form. □
Also: what about products? If
then induce
by .
By the above for
you get
such that is
constant.
Question: Can we always fine
(when finitely coloured) such that the set
|
is monochromatic?
This is very open …even ,
i.e. .
Remark.
-
(1)
If you insist on an infinite set ,
then you can find a bad colouring (Some new results on monochromatic sums and products over
the rationals [Hindman, Ivan, Leader]).
-
(2)
If we ask this question over
– true (Alweiss, 2023+).
-
(3)
It is also true that
is partition regular over
(2023, Bowen and someone)
Proposition 2.8.
Assuming that:
Then there exists
such that any
-set
contains a solution to
.
Proof.
Let be
the columns of .
Then there exists
a partition of
such that
|
For all ,
we have
|
with .
For each ,
let
|
Rewriting the above we get
for all .
We will take .
Let
be some integers. Let .
Claim is a
solution, i.e. .
Indeed:
Look at .
Have . Let
be the common
denominator of all the s.
Then
Also have that is a
solution. Our (for the
-set) is indeed the common
denominator of the ,
and .
□
Proof of Rado’s Theorem.
Want to prove
is partition regular if and only if it has the column property.
If
is partition regular, then by Proposition 2.5, it has the column property.
For the other direction, let
be a finite colouring of .
Also, since
has column property there exists
such that
solutions in any -set.
By Theorem 2.6 there exists a monochromatic -set
with respect to .
But this gives a monochromatic solution to .
□
Remark.
From the proof, we get that if
is partition regular for the “”
(right-most position in base )
colourings then in fact
is partition regular for any colouring. There is no direct proof of this (i.e. that does not go via the Rado’s
Theorem proof).
Theorem 2.9 (Consistency Theorem).
Assuming that:
This says that if you can solve
monochromatically and you can solve
monochromatically, then there exists
of the same colour such that ,
.
Remark.
You can show this by hand (but much harder).
Theorem 2.10.
Assuming that:
Proof.
. Assume for
all that there exists
that is partition regular,
but has no solution in .
Look at
This is partition regular too, hence it has a monochromatic solution of colour say .
Then
has a solution in ,
contradiction. □
Rado’s conjecture (1933)
Rado conjectured that if ,
then one is also partition regular.
Proved in 1973 by Deuber – introduced -sets.
Showed that is partition regular
if and only if it contains an -set
for all .
He then showed that given ,
there exists such that
whenever an -set is
-coloured, there exists
a monochromatic -set
(this indeed solved the conjecture).
2.2 Ultrafilters
Aim:
Theorem 2.11 (Hindman’s Theorem).
Assuming that:
Then there exists infinitely many
such that
|
is monochromatic.
This is the first infinite partition regular system in the course.
Definition (Filter).
A filter is a non-empty collection
of subsets
of
satisfying:
-
(a)
.
-
(b)
If ,
,
then
(‘upset’).
-
(c)
If ,
then
(closed under finite intersections).
Example.
-
(1)
is a filter.
-
(2)
is a filter.
-
(3)
is a filter, called the cofinite filter.
-
(4)
.
This is not a filter, since the intersection
is ,
which is not in .
-
(5)
is a filter.
Definition (Ultrafilter).
An ultrafilter is a maximal filter.
Example.
-
1.
,
,
then
will contain ,
so ,
but
so we cannot extend
by adding
to it. So
is maximal. This is called the principal filter at .
-
2.
In the examples above: (1) is an ultrafilter, (2) is not as (1) extends it, (3) is not as (5) extends it,
and (5) is not as
extends it.
Proposition 2.12.
is an
ultrafilter if and only if for all ,
either
or is in
.
Proof.
-
If I try to extend
by adding in some ,
then since ,
we would also have to have ,
which violated one of the properties of being a filter.
-
Suppose
is an ultrafilter and there exists
such that
are not in .
By maximality, if
is not in then
there exists
such that .
Indeed, suppose not. Then
|
extends it (the only way this can fail to be a filter is if ,
which would require a
such that ).
Then ,
so ,
contradicting the initial assumption. □
Remark.
If is an
ultrafilter and ,
. Then
either
or is in
. Indeed, suppost
not. Then ,
hence ,
i.e. is in
. Hence
, a
contradiction.
Proposition 2.13.
Assuming that:
Proof.
By Zorn’s lemma, it is enough to show that any chain of filters extending
has an upper bound.
Let be a chain of
filters containing ,
i.e. for all
either
or . Let
. Need
to show
is a filter:
-
(1)
since
for each .
-
(2)
If
and
then
for some ,
and then we have
for this same
(as
is a filter), so .
-
(3)
If
then say ,
.
Since
is a chain, we can suppose without loss of generality that .
Then ,
so ,
so .
and also clearly
extends . So
is an
upper bound. □
Definition ().
The
set of ultrafilters on
is called . We define
a topology on
as the one induced by the following base of open sets
We can see that
and
because if
and only if .
Open sets are .
Closed sets are
(using the fact that ).
Proposition 2.14.
is a compact Hausdorff space.
Proof.
is Hausdorff: Let
be two ultrafilters. Then there exists
such that .
Then
(and
is open), and ,
hence
(and
is open). Note .
So indeed
is Hausdorff.
is compact: want to show that every open cover has a finite subcover. This is equivalent to showing that
if a collection of closed sets has the property that no finite subset covers ,
then the whole collection doesn’t cover .
This is equivalent to showing that if you have a collection of closed sets such that they have the finite
intersection property (for any
finite, ),
then their intersection is non-empty.
Further, in the first sentence we can without loss of generality that the open sets are basis sets (i.e. of the
form ),
and carrying this forward tells us that we may assume that the closed sets in the last sentence are of the
form ,
or equivalently, of the form .
We are given some closed, non-empty sets in .
Without loss of generality, they are all
for some .
Suppose
with the finite intersection property. First note ,
hence .
So let .
is a
filter because:
-
(1)
-
(2)
-
(3)
If ,
,
then
hence .
Let be an ultrafilter
extending .
Note: if and
only if .
Hence .
Thus is
compact. □
Remark.
-
(1)
can be viewed as a subset
or a subset of .
The topology on
comes from restricting the product topology on
and also
is a closed subset of ,
hence it is compact by Tychonoff’s theorem.
-
(2)
is the biggest compact
Hausdorff space in which is
dense. In other words, if is
compact and Hausdorff and ,
there exists a unique
continuous that extends ,
i.e.
makes the diagram
commute.
-
(3)
is called the Stone-Cěch
Compactification of .
Notation.
Let be
a statement and
an ultrafilter. We write
to mean
(“ holds for
(-)most
”).
Example.
-
(1)
If
is principal, then ñ
so .
-
(2)
If
is not principal then let’s consider .
This says .
If not true, then ,
i.e. .
Then
hence for some ,
,
so
is principal, contradiction.
Proposition 2.15.
Assuming that:
Then
-
(i)
if and only if
and
-
(ii)
if and only if
or
-
(iii)
is false if and only if
Proof.
Let ,
.
-
(i)
if and only if
and
-
(ii)
if and only if
or
-
(iii)
if and only if
□
Warning.
is not necessarily
the same as (there is even a
counterexample in the case !).
Example.
Let be a
non-principal ultrafilter. Let .
Then:
-
is true (since
is always true)
-
is false (since
is always false)
Moral.
Don’t swap quantifiers!!
Cool fact: we can “add” ultrafilters.
Definition (Addition of ultrafilters).
Let
be ultrafilters. Then we define
|
Proof that
is a filter:
Hence
is a filter.
Now check that it is an ultrafilter:
Suppose ,
i.e.
is false. By Proposition 2.15(iii) applied twice, this is equivalent to
. Hence
.
So is
indeed an ultrafilter.
Remark.
The addition of ultrafilters is associative, i.e.
To show this, we claim
if and only if
By similar reasoning, one can also show
if and only if the above holds, hence
if and only if ,
which establishes the desired equality.
Let . So
. Let
. TODO
Last piece of the puzzle: is
left continuous: we show that
is continuous (for any fixed ).
Proof.
Note (for
some ) if and only
if , which happens
if and only if .
This is equivalent to saying
which is equivalent to ,
so the pre-image is open. □
Recall: is compact
Hausdorff, with a dense
subset, is left continuous,
associative, and
is non-empty.
Goal: want
such that ,
i.e. idempotent.
Proposition 2.16 (Idempotent lemma).
There exists
such
that .
Proof.
(Warning: we will use Zorn’s lemma :O)
Start with
such that .
Seek ,
non-empty, compact and minimal with the property that
(hope to show
is a singleton).
Proof of existence: there exists such a set, namely
itself. Look at all such
– this set is not empty. By Zorn’s lemma, it is enough to show that if
is a collection of such sets that is also a chain, then
has this property also (,
is compact).
Compact: We are in a compact Hausdorff space, so a subspace is compact if and only if it is closed.
Since the
are closed we have that
is closed, hence
is compact.
Why ?
Let ,
for all .
Then
for all ,
hence
for all ,
hence .
So .
Also
is non-empty:
have the finite intersection property (as they are a chain). Since they are closed, we get that the
intersection is non-empty.
Therefore, by Zorn’s lemma, there exists a minimal ,
which is non-empty, compact such that .
Pick .
Look at
and we want to show that this is .
Claim: .
Proof: .
Check:
So by minimality .
In particular, there exists
such that .
Consider .
Claim: . Since
, it’s enough to show
(by minimality) that is
compact, non-empty and .
Indeed:
-
non-empty:
-
compact as
is the pre-image of a singleton (which is compact hence closed), thus closed, thus compact.
-
for :
,
,
so
hence .
So .
By minimality, .
So ,
hence .
□
Remark.
-
(1)
The finite subgroup question: can we find a non-trivial subgroup of ?
For example, ,
,
?
Solved by Zeleyum (1996) – No!
-
(2)
Can an ultrafilter “absorb” another ultrafilter? That is,
such that all ,
,
,
are equal to ?
Totally open (until it was show that the answer is yes)!
Proof of Hindman’s Theorem.
(If
is finitely coloured, there exists
such that
is monochromatic).
Let
be the colour classes ()
and
an idempotent ultrafilter.
Claim:
for some
(this is because ultrafilters are prime: whenever we have a finite union lying in the ultrafilter we have at
least one of the components lying in the ultrafilter, else have
for each ,
hence ,
but this is ,
contradicting the fact that ).
Let . Therefore
we have .
Then:
-
(1)
-
(2)
-
(3)
gives that .
Then (1) and (2) and (3) give:
Now fix
such that
Assume we have found
such that
Then have .
-
(1)
-
(2)
-
(3)
.
Then (1), (2) and (3) give:
|
Thus fix .
Have .
Then done by induction. □
Remark.
-
(1)
Very few other infinite partition regular equations are known. In particular, there does not exist a
“Rado-type” theorem of iff.
-
(2)
The consistency theorem no longer holds.
|
is partition regular (special case of Milliken-Taylor theorem). It was shown in 1995 that
and
are incompatible.
-
(3)
Trivially from Hindman,
is partition regular. Any proof of this without Hindman? Not known!