Now we’ll move away from spectral methods, and into a few lectures on topological methods. Today we’ll look at the Borsuk-Ulam theorem, and see a stunning application to combinatorics, given by Lovász in the late 70’s. A great reference for this material is Matousek’s book, from which I borrow heavily. I’ll also discuss why the Lovász-Kneser theorem arises in theoretical CS.
The Borsuk-Ulam Theorem
We begin with a statement of the theorem. We will think of the n-dimensional sphere as the subset of given by
Borsuk-Ulam Theorem: For every continuous mapping , there exists a point
with
.
Pairs of points are called antipodal.
There are a couple of common illustrative examples for the case . The theorem says that if you take the air out of a basketball, crumple it (no tearing), and flatten it out, then there are two points directly on top of each other which were antipodal before. Another common example states that at every point in time, there must be two points on the earth which both have exactly the same temperature and barometric pressure (assuming, of course, that these two parameters vary continuously over the surface of the eath).
The n=1 case is completely elementary. For the rest of the lecture, let’s use and
to denote the north and south poles (the dimension will be obvious from context). To prove the n=1 case, simply trace out the path in
starting at
and going clockwise around
. Simultaneously, trace out the path starting at
and going counter-clockwise at the same speed. It is easy to see that eventually these two paths have to collide: At the point of collision,
.
We will give the sketch of a proof for Let
, and note that our goal is to prove that
for some
. Note that
is antipodal in the sense that
for all
. Now, if
for every
, then by compactness there exists an
such that
for all
. Because of this, we may approximate
arbitrarily well by a smooth map, and prove that the approximation has a 0. So we will assume that
itself is smooth.
Now, define by
, i.e. the north/south projection map. Let
be a hollow cylinder, and let
be given by
so that
linearly interpolates between
and
.
Also, let’s define an antipodality on by
. Note that
is antipodal with respect to
, i.e.
, because both
and
are antipodal. For the sake of contradiction, assume that
for all
.
Now let’s consider the structure of the zero set . Certainly
since
, and these are h’s only zeros. Here comes the sketchy part: Since
is smooth,
is also smooth, and thus locally
can be approximated by an affine mapping
. It follows that if
is not empty, then it should be a subspace of dimension at least one. By an arbitrarily small perturbation of the initial
, ensuring that
is sufficiently generic, we can ensure that
is either empty or a subspace of dimension one. Thus locally,
should look like a two-sided curve, except at the boundaries
and
, where
(if non-empty) would look like a one-sided curve. But, for instance,
cannot contain any Y-shaped branches.
It follows that is a union of closed cycles and paths whose endpoints must lie at the boundaries
and
. (
is represented by red lines in the cylinder above.) But since there are only two zeros on the
sphere, and none on the
sphere,
must contain a path
from
to
Since
is antipodal with respect to
,
must also satisfy this symmetry, making it impossible for the segment initiating at N to ever meet up with the segment initiating at S. Thus we arrive at a contradiction, implying that
must take the value 0.
Notice that the only important property we used about (other than its smoothness) is that is has a number of zeros which is twice an odd number. If
had, e.g. four zeros, then we could have two
-symmetric paths emanating from and returning to the bottom. But if
has six zeros, then we would again reach a contradiction.
The Kneser conjecture
While the Borsuk-Ulam theorem seems initially far removed from any combinatorial applications, the following result of Lyusternik and Shnirel’man starts to hint at the combinatorial significance.
LS Lemma: Let be a cover of
by closed sets. Then some
contains an antipodal pair.
Proof: Consider the continuous map given by
, where
denotes e.g. the geodesic distance on
. By the Borsuk-Ulam theorem, there exists a
with
. Now if
for some
, then
. Otherwise, if this holds for no
, then
.
In fact, it is not difficult to show that the LS Lemma is equivalent to Borsuk-Ulam. For our application to the Kneser conjecture, we will need to consider both open and closed sets.
Corollary 1: Let be a cover of
by open sets. Then some
contains an antipodal pair.
Proof: This follows from the LS Lemma by choosing a family of closed sets such that
forms a cover of
. The existence of such sets follows from applying compactness to the following open cover of
: For every
, choose an open set
whose closure lies completely within some
. By compactness, there is a finite subcover. By piecing together elements of its closure, we can form the sets
.
Finally, we address the case of both open and closed sets.
Corollary 2: Let be a cover of
with each
open or closed. Then some
contains an antipodal pair.
Proof: Suppose that are closed and
are open. Consider the open cover
, where
denotes the
-neighborhood of
. Taking
and applying Corollary 1 to each cover results in a sequence
. If
for some
, we are done. Thus we may pass to a subsequence for which
for some fixed
. Choose a convergent subsequence
, and observe that since
is closed, we have
. We conclude that there exists an
with
.
The Kneser graphs.
Now, we introduce the Kneser graphs . The vertex set is
, i.e. the vertices are k-element subsets of
. There is an edge between two sets
if and only if
and
are disjoint. In 1955, Kneser posed the following conjecture.
Conjecture: For every and
,
, where
denotes the chromatic number.
First, we note that the upper bound is easy: Construct a coloring by defining
Clearly if , then
and
have the same minimum element, and thus they are not disjoint. On the other hand, if
, then
, and the latter set contains only
elements. Thus again
.
The conjecture stood open until Lovász resolved it, using the Borsuk-Ulam theorem. Recently, Greene (an undergraduate at the time) gave a particularly simple proof which we reproduce here.
Proof: Consider and let
. Let
be a set of
points in general position, so that no
-dimensional hyperplane through the origin contains more than
points of
. Clearly we may assume that
actually has vertex set
. For every
, let
denote the open hemisphere centered at .
Now, suppose we have a proper coloring of , and define sets
as follows:
is the set of all points
such that
contains a k-set
colored
. Finally,
.
By Corollary 2 above, there must exist an and a
such that
. If
, then since
and
are disjoint, there must exist two disjoint k-sets colored
, which means we did not start with a proper coloring.
If, instead , it implies that both
. But then the
-dimensional hyperplane
contains
points, contradicting the fact that
was chosen in general position.
Appearances in TCS
One of the most useful properties of the Kneser graphs is that there is a large gap between their chromatic number and their fractional chromatic number
. The fractional chromatic number of graph
is the minimum value
such that
can be covered by
independent sets, where each vertex occurs in at least
of them.
It is easy to see that by choosing the n independent sets
The Kneser graphs are a particularly natural family to have a large gap between and
because we can define
for an arbtirary G as the minimum ratio
such that G admits a homomorphism into
. One can also see that
using the Erdős–Ko–Rado theorem.
See e.g. this FOCS’08 paper of Alon, et. al. for a recent application which uses this gap between fractional and actual chromatic numbers. The Kneser graphs also arise very naturally in PCP constructions, as one can see in this paper of Dinur, Regev, and Smyth about the computational hardness of coloring hypergraphs.
Thanks for the great posts!
In the defn of S^n near the top, I think you mean it’s a subset of R^{n+1}.