1. Introduction
In the last fifty years, the study of concentration of measure phenomenon has become a research field of powerful interest in different areas of mathematics. It is particularly relevant in statistic description of probabilistic phenomena, where a large number of degrees of freedom is involved and manifests itself as the “localization”, under the increasing of the geometrical dimensions, of support of the measure around subregions which, strictly speaking, are zero measure subset and may find also applications in physics, see e.g., [
1,
2]. Intuitively, it can be understood through the following toy example: suppose we are in
, looking at a ball of radius
R. For example, we can assume it is an orange, with a very thin peel, having essentially the same specific weight of the pulp. We wonder which fraction of weight is occupied by the peel. The answer is simple, since the volume of the orange is
while the volume of the peel is
We get that the fraction of weight occupied by the peel is
So, we see that if we fix the radius of the orange, as soon as
n increases, most of the mass of the orange is in a peel with thickness of the order
In other words, all the mass (measure) appears to concentrate on the peel, despite the material being homogeneously distributed in the whole volume. If the specific weight is replaced by a uniform probability distribution, the probability tends to concentrate on the boundary of the ball, when the dimension becomes higher and higher. If in place of in
we are in a spherical world
, we would see such a uniform probability to concentrate in an equator (while we occupy one of the poles), see, e.g., [
3]. Notice that in
, homogeneity can be interpreted as invariance of the measure under translations. Similarly, in
, it corresponds to invariance under the action of the isometry group
. Indeed, the invariant measure can be interpreted on these spaces as induced from the invariant measure on the group itself by the action of the group on the set (for example, after fixing a point
, the measure of an open subset
U of
can be defined by the Haar measure of the set of all
such that
. Up to a normalization constant, this gives exactly the Lebesgue measure on
, ref. [
4]). These simple considerations lead to the important problem of investigating the phenomenon of concentration of measure on spaces endowed with the action of an infinite dimensional Lie group (thought as limits of families of finite dimensional Lie groups) having an invariant normalized measure. It is clear that the relevance of such a question goes beyond statistics: if the action of the group on the space induces a measure that concentrates on a point, it is evident that such point becomes a fixed point under the action of the group. Thus, the question is strictly related to problems involving fixed point theorems under the action of infinite dimensional Lie groups [
5], such as, for example, the analysis of differential equation systems. This problem has been tackled with a high level of abstraction by several authors. Starting from the pioneering research of Levy in the 1950s [
3], Milman’s work in the early 1970s, followed by Gromov’s later work [
6], the notion of Levy Family has been used to study concentration phenomenon (for an exhaustive survey on the subject, see [
7,
8,
9] or the most recent [
10]).
However, one of our key observations to produce new explicit examples is that this phenomenon is mostly an asymptotic effect that can be understood even in finite dimensional spaces. Looking at the concentration of measure in finite spaces, such as in the above toy example, suggests a way to understand in which way and where such concentration tends to be concretized. Indeed, in [
1], we introduced the notion of Concentration Locus, which is a kind of “localized” version of concentration. In a sense, we detect in which part of the spaces, along the process of concentration, the measure concentrates.
In the present paper, we will provide explicit examples showing how the localization of invariant measures takes place for compact Lie groups. We will show different techniques apt to do it. We will make use of a formula due to Macdonald [
11] for computing the volumes of compact simple Lie groups and their subgroups. The knowledge of the explicit expression for such volumes combined with the generalized Euler parametrizations of groups developed in [
12] will allow us to infer concentration properties of the classical sequences of compact simple Lie groups and to calculate explicitly a concentration locus for some of them. These will be subspaces of codimension one or two, but we will also show that the concentration locus is not unique and, indeed, we are able to identify subspaces of the codimension that grow indefinitely with the dimension of the group. We also compute the Ricci curvature of such groups [
13,
14] and apply a Gromov–Milman’s theorem [
6] to deduce the Levy property for them. This method will allow us to show how to construct infinitely many concrete examples. Finally, we show how to extend our results to families of arbitrary compact connected Lie groups.
The material is organized as follows. In
Section 2, we recall the background material necessary to understand the rest of the paper, including the notion of Levy Family, the notion of Concentration Locus, and the Macdonald’s formula. In
Section 3, we show how to compute the Ricci tensor of a compact simple Lie group endowed with the natural Killing metric and then specify the results to the cases of all classical series of compact Lie groups in order to deduce the Levy property for all of them, according to Gromov–Milman’s theorem. In
Section 4, we study the concentration loci for all the aforementioned classical series. In particular, we make the calculations for the
series very explicit, showing that it is not unique, but it can happen on subspaces of indefinitely increasing codimension. Moreover, we show that around the concentration loci, the localization of the measure is Gaussian. The analogue results for the other series are stated with the proof just sketched, being exactly a repetition of the one for
. At the end of the section, we show a strategy for constructing an infinite number of examples, basing once again on Gromov–Milman’s theorem. In
Section 5, we present our concluding remarks and perspectives.
3. Levy Property from the Ricci Tensor
We can change the property of being Levy or not, simply by rescaling the distances by
i-dependent constants. In particular, if
, or better
, are compact Riemannian manifolds, and
is the measure naturally associated to
, we can then consider the family
and ask whether it is Levy or not. A simple answer is given by a Corollary of the Theorem in Section 2.1 in [
6]: let
the Ricci tensor determined by
and define
taken in the set of all tangent vectors of unit length. The theorem states that if
then
is Levy.
We will now compute the Ricci tensor for the simple groups in order to prove that the classical sequences of simple Lie groups are Levy. The Maurer–Cartan (Lie algebra valued) 1-form
over a compact Lie group
G is related to the bi-invariant metric
over
G by
where
is a real normalization constant (for example, chosen so that
G has volume 1), and
K is the Killing form over
, which is negative definite, since
G is compact.
does satisfy the Maurer–Cartan equation [
18]
where
is the Lie product combined with the wedge product, as usual. If we fix a basis
,
, for
and define the structure constants by
then, we can set
and the Maurer–Cartan equation becomes
If we look at the components of
as defining a vielbein
,
, associated to a metric
we see that the Maurer–Cartan equation can be seen as the structure equation for the Levi–Civita connection (in terms of the Ricci rotation coefficients):
which thus gives
The curvature two form is then
Its components
with respect to the vielbein are thus
from which we see that the Ricci tensor has components
where
K is the Killing form. Let us fix the compact simple Lie group
G and fix any basis
for the Lie algebra in the smallest faithful representation
. A standard choice is to assume that the basis is orthonormalized with respect to the condition (standard normalization, see
Section 3.2).
which is natural since
G is compact. This is also a bi-invariant metric; hence, there exists a positive constant
(independent from
) such that
so that
or, in coordinates,
The coefficients for the classical series of simple groups are computed below. We have: , and .
Therefore, we get the following corollary of the Gromov–Milman theorem:
Corollary 1. Letwhere is any one of the classical sequences of the compact simple Lie group, which is considered in the previous section, is the corresponding standardly normalized biinvariant metric, and is the Riemannian normalized measure. Then, is a Levy family. Proof. From the values of
, we get
Then, . □
3.1. Computation of
The strategy for computing the coefficient
is very simple: after choosing an orthonormal basis
in the smallest faithful representation
, we use it to compute one of these matrices in the adjoint representation. Then
We will indicate with the elementary matrix having as the only non-vanishing element the one at line i and column j, which is 1.
The unitary case: The representation
of
is realized by the anti-hermitian
matrices having a vanishing trace. A basis is given by (see [
19,
20])
,
,
, where
Let us construct the adjoint matrix of
. The only non-vanishing commutators of
are
In order to compute
, we have to compute again the commutator, which gives
Taking the trace, we get .
The orthogonal case: The representation
of
is realized by the anti-symmetric
matrices (see [
19]). A basis is given by
,
, where
Let us consider
. The only non-vanishing commutators are
Iterating the commutators, we get
After taking the trace, we get .
The symplectic case: The representation
of
is realized by the anti-hermitian
matrices having the form
where
B and
C are symmetric (see [
19]). A basis is given by
We consider the adjoint representation of
. The non-vanishing commutators are
Iterating the commutators, we get
Finally, by taking the trace, we get .
3.2. On the Standard Normalization
The standard normalization of the metric has a clear meaning if referred to the two-plane rotations, which are the rotations leaving fixed a codimension 2 space. These are contained in each group, and are, for example, the one generated by each of the generators
of
, each of the generators of
, or each of the
in the symplectic case. In order to understand its meaning, let us fix for example
and consider the one parameter subgroup defined by
It represents rotations of the
k–
j plane by
and has a periodicity of
. Let us consider the normalized metric restricted to that orbit
. A simple calculation gives
Thus, the total length of the whole orbit, correspondent to a continuous rotation of a round angle, is exactly .
5. Further Comments and Conclusions
In a companion paper, [
1], we have introduced the notion of “concentration locus” for sequences of groups
,
, endowed with normalized invariant measures. Then, we have shown in which sense the mapping of the concentration locus on a set, through its action on that set, governs the concentration of the measure on the set and eventually determines the presence of a fixed point. Here, we have seen how a concentration locus can be determined for the classical series of compact Lie groups. This loci can have an unboundedly increasing codimension and determine probes for analyzing the action of some infinite dimensional Lie groups on (not necessarily) compact sets or manifolds. We remark that the question about the extreme amenability of
, for example, is still an open problem [
21]. The result we obtained for the classical series can be easily extended to more general sequences of compact Lie groups.
Proposition 5. Let be a family of connected compact Lie groups of the formwhere is a torus of dimension , is the product of compact connected simple Lie group, and is a finite subgroup. Suppose that among the factors of , there exists a finite dimensional connected compact Lie group common to all n. Alternatively, assume that for . Then, there exists at least a finite dimensional compact manifold K admitting an equicontinuous action of , which is taken with the inductive limit topology without fixed points. If at least one of the determines a classical sequence of compact Lie groups, then a concentration locus of is obtained restricting the factors to the corresponding concentration loci.
The proof is simple and is sketched in
Appendix A. In the first part, obviously,
or
. It generalizes the known result that
is not extremely amenable. The second part is just a corollary of our results in the previous sections.
It would be interesting to relate the concentration of the measure around the concentration loci to the phenomenon of optimal transport. We expect such a connection to be governed by the way the process of concentration around concentration loci is realized in our examples. We plan to investigate such connection in a future work.