Last November 2018, Romain Dujardin, Charles Favre, Thomas Gauthier, Rodolfo Gutiérrez-Romo and I started a groupe de travail around the preprint The joint spectrum by Emmanuel Breuillard and Cagri Sert.
My plan is to transcript my notes from this groupe de travail in a series of posts starting today with a summary of the first meeting where an overview of the whole article was provided. As usual, all mistakes/errors in the sequel are my sole responsibility.
1. Introduction
Let be the set of
matrices with complex entries. Given
, recall that its spectral radius
is given by Gelfand’s formula
More generally, given a compact subset , recall that its joint spectral radius of
(introduced by Rota–Strang in 1960) is the quantity
where .
Remark 1 By submultiplicativity (or, more precisely, Fekete’s lemma), the limit defining
always exists.
Remark 2
is independent of the choice of
. In particular,
for all
.
The joint spectral radius appears naturally in several areas of Mathematics (such as wavelets and control theory), and my first contact with this notion occurred through a subfield of Dynamical Systems called ergodic optimization (where one considers an observable and one seeks to maximize
among all invariant probability measures
of a given dynamical system).
The goal of Breuillard–Sert article is two-fold: they introduce of a notion of joint spectrum of and they show that it vastly refines previous related concepts such as joint spectral radius, Benoist cone, etc.
Today, our plan is to provide an overview of some of the main results obtained by Breuillard–Sert. For this sake, we divide this post into two sections: the first one contains a potpourri of prototypical versions of Breuillard–Sert’s theorems, and the the last section provides the precise statements whose proofs will be discussed in subsequent posts in this series.
2. A potpourri of results about the joint spectrum
2.1. Existence of the joint spectrum
Before introducing the definition of joint spectrum, we need the following notations. Given , its Cartan vector
is
where are the singular values of
. In particular, if
is compact, then
is a compact subset of . Also, we denote by
.
Theorem 1 (Breuillard–Sert) If the monoid
generated by
acts irreducibly on
, then
converges in the Hausdorff topology to a compact subset
called the joint spectrum of
.
Remark 3 The technical “irreducibility” assumption on
is not strictly necessary: what is important here is the reductiveness of the Zariski closure
of
(i.e.,
contains no non-trivial unipotent normal subgroup) and the irreducibility assumption is just a simple condition ensuring that the Zariski closure is reductive.
Remark 4 Similarly to Remark 2 on the joint spectral radius
, the joint spectrum
is invariant under conjugation, i.e.,
for all
.
Remark 5 The geometry of the joint spectrum
allows to recover several classical quantities associated to
. For instance,
and the lower joint spectral radius
verifies
More generally, if
is a representation of
(e.g., the
-th exterior power), then
where
is the highest weight of
(e.g.,
in the case of the
-th exterior power).
The proof of Theorem 1 uses the notion of proximal elements (also appearing in the proof of Tits alternative via a ping-pong argument). More concretely, recall that a matrix is proximal when it has an unique eigenvalue of maximal modulus. In this context, the idea behind Theorem 1 when is Zariski dense in
can be explained as follows. An important theorem of Abels–Margulis–Soifer ensuring that there exists a finite subset
such that for each
one can find
so that the matrix
has a simple spectrum, i.e.,
induces a proximal element in all exterior power representations of
. In fact, the finiteness of
implies that
is close to
when
is large and
, and the simplicity of the spectrum of
guarantees that
stays close to
for all
because both of them are not far from the Jordan vector of
consisting of the ordered list of the logarithms of the moduli of its eigenvalues. As it turns out, this information can be used to show that
for any
, and this gives the desired convergence thanks to the following elementary lemma about Hausdorff topology (applied to
).
Lemma 2 Let
be a compact metric space. A sequence
of compact subsets of
converges in Hausdorff topology to a compact subset of
if and only if for all
one can find
such that
for all
,
.
Proof: If converges to
, then for each
one can find
so that
for all
. Therefore,
is contained in the
-neighborhood of
and
is contained in the
-neighborhood of
for all
. In particular,
is contained in the
-neighborhood of
for all
, so that
for all
,
.
Conversely, denote by the set of accumulation points of sequences
with
for all
. Observe that
is compact because it is a closed subset of the compact metric space
: indeed, given a sequence
,
, converging to
, we can select
as
and
with
for all
; hence,
is accumulated by any sequence
with
for all
and
for all
.
We affirm that converges to
. Otherwise, one could find
and
as
such that
for all
. In other terms, for each
, either there is
with
or there is
with
. Note that the second possibility can not occur infinitely many times because a certain accumulation point
of
would be a point
with
. Thus, there is no loss in generality in assuming that there is
with
for all
. By compactness of
, we can extract a subsequence
as
. Therefore, there exists
such that
and, a fortiori,
for all
. Moreover,
implies that there exists
with
for all
and
as
. This is a contradiction because it would follow that
for each
and
, so that
for each .
Our discussion above of the idea of proof of Theorem 1 indicates that the eigenvalues of matrices or rather their Jordan vectors
, where
are the moduli of the eigenvalues of
, play an important role in the construction of the joint spectrum. This intuition is reinforced by the following elementary proposition saying that it is not hard to establish the convergence of certain normalized collections of eigenvalues:
Proposition 3 Let
be a compact subset containing the identity matrix
. Then,
converges in the Hausdorff topology.
Proof: By the previous lemma, it suffices to show that given , there exists
such that
for all with
.
For this sake, let us observe that if for some
, then
where
,
, thanks to our assumption that
. Since
, it follows that
and, hence, for any
.
2.2. Cartan vectors, Jordan vectors and Benoist cone
As it turns out, there is an intricate relationship between eigenvalues and joint spectrum. Indeed, Breuillard and Sert proved the following facts about the sets of renormalized Jordan vectors, the joint spectrum
, and the so-called Benoist cone
consisting of the accumulation points of positive linear combinations of
‘s for
in the monoid
spanned by
:
Theorem 4 (Breuillard–Sert) One has that
for each
and
is the cone spanned by
.
Remark 6 This theorem is the higher-dimensional analog of Berger–Wang theorem asserting that the joint spectral radius
is given by the formula
Remark 7 One doesn’t have
converges to
in general (due to potential “periodicity” issues). For example, take
and let
,
and
. Denote by
the logarithm of the spectral radius of
. Then,
as
because
for all
,
, but it is not hard to use the fact that
and
to establish that
as
.
2.3. Convex bodies, polyhedra and joint spectra
It is also shown by Breuillard and Sert that (under the assumption of Theorem 1) the joint spectrum is the “folding”
of a convex body
,
, by a certain piecewise affine map
. Moreover, any convex body inside the Weyl chamber
is the joint spectrum of some
(satisfying the hypothesis of Theorem 1) and any polyhedron in this Weyl chamber with finitely many vertices is the joint spectrum
of some finite subset
. However, there are finite subsets
whose joint spectrum
is not polyhedral: these examples are related to the counterexamples to the Lagarias–Wang finiteness conjecture (asserting that for any finite
, there are
with
) constructed by several authors including Bousch–Mairesse, Morris–Sidorov, Jenkinson–Pollicott and Bochi–Sert.
2.4. Joint spectrum and random products of matrices
Sert proved the following large deviations principle for random products of matrices belonging to a compact subset spanning a monoid acting irreducibly on
: for each probability measure
on
whose support is
, there is a function
such that for every open subset
with closure
one has
and
In this setting, Breuillard and Sert showed that the joint spectrum is a sort of “essential support” in the sense that
In fact, for all
where
is the Lyapunov vector of
, i.e.,
for -almost every
.
As it turns out, the Lyapunov vectors might miss some points in
, i.e., they are sometimes confined to a proper closed subset of
. Nevertheless, any
in the interior of
is the Lyapunov vector of a certain ergodic shift invariant probability measure on
(actually Gibbs measure / equilibrium state), but, in general, this is false about certain boundary points of
.
Furthermore, the elements of the joint spectrum are always realized by fixed sequences. More precisely, Daubechies–Lagarias showed that the joint spectral radius satisfies
for some fixed sequence , and, more generally, Breuillard and Sert proved that any
satisfies
for some fixed sequence .
2.5. Domination and continuity
Breuillard and Sert also prove that the joint spectrum varies continuously at a compact
satisfying some domination assumption such as
or, equivalently, one has an exponential separation of singular values in the sense that there exists and
such that
for all and
with
.
3. General versions of main results
A systematic study of the joint spectrum of can be efficiently done by working as intrinsically as possible, i.e., replacing
by the Zariski-closure of the monoid
spanned by
(namely, the smallest algebraic group containing
).
From now on, we assume that is a connected real Lie group which is reductive, i.e., it contains no non-trivial normal unipotent subgroup. Intuitively, this means that we are avoiding “Jordan blocks”. This hypothesis is adapted to our context (and, in particular, to Theorem 1) because of the following example:
Example 1 Let
be the Zariski closure of the monoid
generated by
and denote by
the connected component of the identity in the subgroup
of real points of
. If
acts irreducibly on
, then
is reductive: otherwise, the fixed subspace of a non-trivial unipotent radical would be invariant under
.
The notions of Cartan and Jordan vectors from the previous section admit the following intrinsic versions. A Cartan decomposition where
is a maximal compact subgroup and
be a maximal torus allows to define a Cartan projection
where
is a Weyl chamber of the Lie algebra
of
associated to a choice of simple roots in a root system.
Example 2 The group
has a maximal torus
consisting of diagonal matrices with positive entries. A root system is given by the roots
for
and the (closed) Weyl chamber
is associated to the simple roots
,
. In particular, the corresponding Cartan projection assigns to each
its Cartan vector
.
Similarly, a Iwasawa decomposition allows to define a Jordan projection
by requiring that
is conjugate to the unique
with
. [Update (February 11, 2019): As C. Sert pointed out to me (in private communication), strictly speaking one actually must replace ‘Iwasawa decomposition’ by Jordan-Chevalley decomposition in order to get the definition of the Jordan projection (because in general the elliptic, hyperbolic and unipotent terms in Iwasawa decomposition do not commute).]
In this language, some of the main results of Breuillard and Sert can be summarized as follows.
Theorem 5 Let
be a connected reductive real Lie group and consider a compact subset
spanning a monoid
which is Zariski-dense in
. Then,
in the Hausdorff topology. The compact subset
is called (intrinsic) joint spectrum and any
is given by
for some fixed sequence
.Moreover, any
in the relative interior
(of
with respect to the smallest affine subspace of
containing it) satisfies
for
-almost every sequence
, where
is a certain ergodic shift-invariant probability measure on
.
Furthermore, the Lyapunov spectrum of a random walk on
with respect to any law
with support
is simple: the Lyapunov vector
(i.e., the
-almost sure limit of
) belongs to the relative interior of
.
Theorem 6 The (intrinsic) joint spectrum
is a closed convex subset of
. Moreover, if
is not included in the coset of a closed connected proper Lie subgroup of
containing
, then
has non-empty interior in
.
Remark 8 The previous results say that the Benoist cone
(spanned by all positive linear combinations of
,
) is generated by
. In particular, they allow to recover a result of Benoist saying that
is convex and its interior is not empty when
is semi-simple.
Theorem 7 A convex body
has the form
for some compact subset
generating a Zariski dense monoid of
. Moreover, if
is a polyhedron with a finite number of vertices, then
can also be taken finite.
Remark 9 The converse in the second part of Theorem 7 is not true in general: Breuillard and Sert exhibit in their article an example of a finite subset
generating a Zariski dense monoid such that the boundary of
is not piecewise
.
As it turns out, the Zariski-denseness condition is not strictly necessary in order to develop the theory of the joint spectrum: indeed, Breuillard and Sert show (cf. Theorem 8 below) that one can replace Zariski-denseness by the assumption that is
–dominated, i.e.,
is included in the interior
of the (closed) Weyl chamber
.
Remark 10 If
, then
is
-dominated if and only if there exists
such that
for all
,
with
sufficiently large.
Theorem 8 Let
be a reductive, connected, real Lie group, and suppose that
is a
-dominated compact subset. Then,
in the Hausdorff topology. The (intrinsic) joint spectrum
is a convex body in
such that for each
, there exists
with
Moreover,
varies continuously with
in this setting: for every
, there exists
such that
whenever
.
The next posts of this series are dedicated to the proof of some of these statements. For now, we close this post with the following list of open problems mentioned in Breuillard–Sert article:
- can one extend Theorem 7, 8 and the portions about
in Theorem 5 to the case of non-archimedean local fields?
- can one define a joint spectrum for more general cocycles and/or base dynamics?
- is there a multi-fractal analysis describing for each
the Hausdorff dimension of the set of sequences
with
? (the analogous question for
was studied by Feng here and here)
- can one describe the boundary of
using probability measures? if so, are these measures: Sturmian? zero entropy?
- is it true that
is a locally Lipschitz function of
? (recall that the joint spectral radius
is known to vary locally Lipschitz with
)
- given
, can one give an effective upper bound on the smallest value
such that
and/or
? (the analogous question for the joint spectral radius was discussed by Morris and Bochi–Garibaldi)
Hi. I have one question. Do we have continuity joint spectrum with respect to cocycles?
Best
Michal
By: Michal on June 3, 2019
at 9:49 am
Hi Michal,
Breuillard and Sert establish a continuity property of the joint spectrum under a dynamical assumption called “domination”: see § 2.5 above and also Theorem 1.7 in Breuillard-Sert paper.
Best regards,
Matheus
By: matheuscmss on June 3, 2019
at 5:37 pm
Hi, Could you please clarify why $\lambda_{\mu^{\N}} \in int(J(S))$? It is obvious when $\mu$ is ergodic, but I don’t understand why that is true when $\mu$ is not ergodic.
Best regards,
Adam
By: Adam on November 16, 2022
at 12:17 pm
Dear Matheus,
Could you please clarify that why $\lambda_{\mu^{\N})$ belongs to the interior $J(S)$?It is obvious when $\mu$ is ergodic, but I don’t understand it when $\mu$ is not ergodic. Thanks in advance.
Best regards,
Adam
By: Adam on November 16, 2022
at 12:25 pm