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(1)

Some notions of compactness in Functional

Analysis and one related question about diametral

dimensions

Loïc Demeulenaere (FRIA-FNRS Grantee)

Comprehensible Seminars - ULiège

(2)

Introduction Some notions of compactness Diametral dimensions

Introduction

Some notions of compactness

(3)

Introduction Some notions of compactness Diametral dimensions

Introduction

Some notions of compactness

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Introduction Some notions of compactness Diametral dimensions

Mathematical Analysis

ˆ Main topics: functions and related notions, e.g. limits, distributions, measures, etc.

ˆ After algebraic equations, functional equations: dierentiable equations, integral equations, optimization problems...

Study of sets of functions Notions of convergence



(5)

Introduction Some notions of compactness Diametral dimensions

Mathematical Analysis

ˆ Main topics: functions and related notions, e.g. limits, distributions, measures, etc.

ˆ After algebraic equations, functional equations: dierentiable equations, integral equations, optimization problems...

Study of sets of functions Notions of convergence



(6)

Introduction Some notions of compactness Diametral dimensions

Mathematical Analysis

ˆ Main topics: functions and related notions, e.g. limits, distributions, measures, etc.

ˆ After algebraic equations, functional equations: dierentiable equations, integral equations, optimization problems...

Study of sets of functions Notions of convergence



(7)

Introduction Some notions of compactness Diametral dimensions

Mathematical Analysis

ˆ Main topics: functions and related notions, e.g. limits, distributions, measures, etc.

ˆ After algebraic equations, functional equations: dierentiable equations, integral equations, optimization problems...

Study of sets of functions

Notions of convergence 

(8)

Introduction Some notions of compactness Diametral dimensions

Mathematical Analysis

ˆ Main topics: functions and related notions, e.g. limits, distributions, measures, etc.

ˆ After algebraic equations, functional equations: dierentiable equations, integral equations, optimization problems...

Study of sets of functions Notions of convergence



(9)

Introduction Some notions of compactness Diametral dimensions

Mathematical Analysis

ˆ Main topics: functions and related notions, e.g. limits, distributions, measures, etc.

ˆ After algebraic equations, functional equations: dierentiable equations, integral equations, optimization problems...

Study of sets of functions Notions of convergence



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Introduction Some notions of compactness Diametral dimensions

Examples

ˆ If K is a compact subset of Rn, if f is a function dened on K

and if (fm)m∈N0 is a sequence of C0(K ) s.t.

sup

x ∈K

|fm(x ) − f (x )| →0 if m → ∞, then f ∈ C0(K ).

; Convergence in C0(K ) endowed with the metric dened by supK|.|.

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Introduction Some notions of compactness Diametral dimensions

Examples

ˆ If K is a compact subset of Rn, if f is a function dened on K

and if (fm)m∈N0 is a sequence of C0(K ) s.t.

sup

x ∈K

|fm(x ) − f (x )| →0 if m → ∞, then f ∈ C0(K ).

; Convergence in C0(K ) endowed with the metric dened by supK|.|.

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Introduction Some notions of compactness Diametral dimensions

Examples

ˆ Lebesgue's dominated convergence theorem: if (fm)m∈N0

is a sequence of L1(R) which converges pointwise to f and if there exists F ∈ L1(R) with |f

m| ≤ F a.e. on R ∀m, then

f ∈L1(R) and Z

R

|fm(x ) − f (x )| dx →0 if m → ∞.

; Convergence in L1(R) for the metric dened by R

R|.| dx. ˆ Fourier series: convergence in L2([a, b]) for the metric

dened by qRb

a |.|2dx. ˆ ...

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Introduction Some notions of compactness Diametral dimensions

Examples

ˆ Lebesgue's dominated convergence theorem: if (fm)m∈N0

is a sequence of L1(R) which converges pointwise to f and if there exists F ∈ L1(R) with |f

m| ≤ F a.e. on R ∀m, then

f ∈L1(R) and Z

R

|fm(x ) − f (x )| dx →0 if m → ∞.

; Convergence in L1(R) for the metric dened by R

R|.| dx.

ˆ Fourier series: convergence in L2([a, b]) for the metric dened by qRb

a |.|2dx. ˆ ...

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Introduction Some notions of compactness Diametral dimensions

Examples

ˆ Lebesgue's dominated convergence theorem: if (fm)m∈N0

is a sequence of L1(R) which converges pointwise to f and if there exists F ∈ L1(R) with |f

m| ≤ F a.e. on R ∀m, then

f ∈L1(R) and Z

R

|fm(x ) − f (x )| dx →0 if m → ∞.

; Convergence in L1(R) for the metric dened by R

R|.| dx. ˆ Fourier series: convergence in L2([a, b]) for the metric

dened by qRb

a |.|2dx. ˆ ...

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Introduction Some notions of compactness Diametral dimensions

Examples

ˆ Lebesgue's dominated convergence theorem: if (fm)m∈N0

is a sequence of L1(R) which converges pointwise to f and if there exists F ∈ L1(R) with |f

m| ≤ F a.e. on R ∀m, then

f ∈L1(R) and Z

R

|fm(x ) − f (x )| dx →0 if m → ∞.

; Convergence in L1(R) for the metric dened by R

R|.| dx. ˆ Fourier series: convergence in L2([a, b]) for the metric

dened by qRb

a |.|2dx. ˆ ...

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Introduction Some notions of compactness Diametral dimensions

(Semi)norms

Denition

If E is a vector space on C, a map p : E → [0, ∞) is a seminorm if

1. p(x + y ) ≤ p(x ) + p(y ) ∀x , y ∈ E;

2. p(λx ) = |λ|p(x ) ∀x ∈ E, ∀λ ∈ C.

If p(x) = 0 ⇔ x = 0, then p is a norm.

Property

The (semi)norm p denes a vector (pseudo)metric on E: d (x , y ) = p(x − y ).

; Notions of convergent sequences, Cauchy sequences, etc. Examples

C0(K ), L1(R), L2([a, b])are (complete) normed spaces (i.e. Banach spaces).

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Introduction Some notions of compactness Diametral dimensions

(Semi)norms

Denition

If E is a vector space on C, a map p : E → [0, ∞) is a seminorm if

1. p(x + y ) ≤ p(x ) + p(y ) ∀x , y ∈ E;

2. p(λx ) = |λ|p(x ) ∀x ∈ E, ∀λ ∈ C. If p(x) = 0 ⇔ x = 0, then p is a norm.

Property

The (semi)norm p denes a vector (pseudo)metric on E: d (x , y ) = p(x − y ).

; Notions of convergent sequences, Cauchy sequences, etc. Examples

C0(K ), L1(R), L2([a, b])are (complete) normed spaces (i.e. Banach spaces).

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Introduction Some notions of compactness Diametral dimensions

(Semi)norms

Denition

If E is a vector space on C, a map p : E → [0, ∞) is a seminorm if

1. p(x + y ) ≤ p(x ) + p(y ) ∀x , y ∈ E;

2. p(λx ) = |λ|p(x ) ∀x ∈ E, ∀λ ∈ C. If p(x) = 0 ⇔ x = 0, then p is a norm.

Property

The (semi)norm p denes a vector (pseudo)metric on E: d (x , y ) = p(x − y ).

; Notions of convergent sequences, Cauchy sequences, etc.

Examples

C0(K ), L1(R), L2([a, b])are (complete) normed spaces (i.e. Banach spaces).

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Introduction Some notions of compactness Diametral dimensions

(Semi)norms

Denition

If E is a vector space on C, a map p : E → [0, ∞) is a seminorm if

1. p(x + y ) ≤ p(x ) + p(y ) ∀x , y ∈ E;

2. p(λx ) = |λ|p(x ) ∀x ∈ E, ∀λ ∈ C. If p(x) = 0 ⇔ x = 0, then p is a norm.

Property

The (semi)norm p denes a vector (pseudo)metric on E: d (x , y ) = p(x − y ).

; Notions of convergent sequences, Cauchy sequences, etc. Examples

C0(K ), L1(R), L2([a, b]) are (complete) normed spaces (i.e. Banach spaces).

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Introduction Some notions of compactness Diametral dimensions

In general

In general, one single (semi)norm is not sucient...

ˆ If Ω is an open subset of Rn and if (f

m)m∈N0 is a sequence of

C0(Ω)which uniformly converges to f on every compact of Ω, then f ∈ C0(Ω).

; Convergence dened by a family of seminorms supK|.|(K

compact of Ω).

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Introduction Some notions of compactness Diametral dimensions

In general

In general, one single (semi)norm is not sucient...

ˆ If Ω is an open subset of Rn and if (f

m)m∈N0 is a sequence of

C0(Ω)which uniformly converges to f on every compact of Ω, then f ∈ C0(Ω).

; Convergence dened by a family of seminorms supK|.|(K

compact of Ω).

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Introduction Some notions of compactness Diametral dimensions

In general

In general, one single (semi)norm is not sucient...

ˆ If Ω is an open subset of Rn and if (f

m)m∈N0 is a sequence of

C0(Ω)which uniformly converges to f on every compact of Ω, then f ∈ C0(Ω).

; Convergence dened by a family of seminorms supK|.|(K

compact of Ω).

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Introduction Some notions of compactness Diametral dimensions

Locally convex spaces

Denition

A topological vector space (t.v.s.) E is a locally convex space (l.c.s.) if its topology can be dened by a family of seminorms P:

a subset U of E is a neighbourhood (ngbh) of x ∈ E if ∃p ∈ P, ε >0 s.t. {y ∈ E : p(x − y ) ≤ ε} ⊆ U. Remark Good denition if ∀p, q ∈ P, ∃r ∈ P, C > 0 s.t. sup(p(x), q(x)) ≤ Cr(x) ∀x ∈ E .

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Introduction Some notions of compactness Diametral dimensions

Locally convex spaces

Denition

A topological vector space (t.v.s.) E is a locally convex space (l.c.s.) if its topology can be dened by a family of seminorms P:

a subset U of E is a neighbourhood (ngbh) of x ∈ E if ∃p ∈ P, ε >0 s.t. {y ∈ E : p(x − y ) ≤ ε} ⊆ U. Remark Good denition if ∀p, q ∈ P, ∃r ∈ P, C > 0 s.t. sup(p(x), q(x)) ≤ Cr(x) ∀x ∈ E .

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Introduction Some notions of compactness Diametral dimensions

Locally convex spaces

Denition

A topological vector space (t.v.s.) E is a locally convex space (l.c.s.) if its topology can be dened by a family of seminorms P:

a subset U of E is a neighbourhood (ngbh) of x ∈ E if ∃p ∈ P, ε >0 s.t. {y ∈ E : p(x − y ) ≤ ε} ⊆ U. Remark Good denition if ∀p, q ∈ P, ∃r ∈ P, C > 0 s.t. sup(p(x), q(x)) ≤ Cr(x) ∀x ∈ E .

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Introduction Some notions of compactness Diametral dimensions

Locally convex spaces

Denition

A topological vector space (t.v.s.) E is a locally convex space (l.c.s.) if its topology can be dened by a family of seminorms P:

a subset U of E is a neighbourhood (ngbh) of x ∈ E if ∃p ∈ P, ε >0 s.t. {y ∈ E : p(x − y ) ≤ ε} ⊆ U. Remark Good denition if ∀p, q ∈ P, ∃r ∈ P, C > 0 s.t. sup(p(x), q(x)) ≤ Cr(x) ∀x ∈ E .

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Introduction Some notions of compactness Diametral dimensions

Examples of topological properties

For a l.c.s. (E, P) ,

ˆ E is Hausdor i ∩p∈Pker(p) = {0};

ˆ every x ∈ E has a countable basis of nghbs i P can be chosen countable;

ˆ E is metrizable i the two previous points are veried.

Denition

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Introduction Some notions of compactness Diametral dimensions

Examples of topological properties

For a l.c.s. (E, P) ,

ˆ E is Hausdor i ∩p∈Pker(p) = {0};

ˆ every x ∈ E has a countable basis of nghbs i P can be chosen countable;

ˆ E is metrizable i the two previous points are veried.

Denition

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Introduction Some notions of compactness Diametral dimensions

Introduction

Some notions of compactness

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Introduction Some notions of compactness Diametral dimensions

Some notions linked to compactness

Let E be an l.c.s.

ˆ A bounded set of E is a subset B of E s.t., for every 0-ngbh U, ∃λ > 0 : B ⊆ λU.

ˆ If U, V is 2 subsets of E, V is precompact with respect to U if, ∀ε > 0, ∃P nite subset of E s.t.

V ⊆ εU + P.

ˆ K ⊆ E is precompact if it is precompact with respect to each 0-ngbh.

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Introduction Some notions of compactness Diametral dimensions

Some notions linked to compactness

Let E be an l.c.s.

ˆ A bounded set of E is a subset B of E s.t., for every 0-ngbh U, ∃λ > 0 : B ⊆ λU.

ˆ If U, V is 2 subsets of E, V is precompact with respect to U if, ∀ε > 0, ∃P nite subset of E s.t.

V ⊆ εU + P.

ˆ K ⊆ E is precompact if it is precompact with respect to each 0-ngbh.

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Introduction Some notions of compactness Diametral dimensions

Some notions linked to compactness

Let E be an l.c.s.

ˆ A bounded set of E is a subset B of E s.t., for every 0-ngbh U, ∃λ > 0 : B ⊆ λU.

ˆ If U, V is 2 subsets of E, V is precompact with respect to U if, ∀ε > 0, ∃P nite subset of E s.t.

V ⊆ εU + P.

ˆ K ⊆ E is precompact if it is precompact with respect to each 0-ngbh.

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Introduction Some notions of compactness Diametral dimensions

Links

Proposition

Compact =⇒ Precompact =⇒ Bounded.

Remarks

ˆ A precompact set is not always compact, but, in complete spaces, a set is precompact i its closure is compact.

ˆ The closed unit ball of an innite-dimensional normed space is never precompact. In particular, a closed bounded set is not always (pre)compact.

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Introduction Some notions of compactness Diametral dimensions

Links

Proposition

Compact =⇒ Precompact =⇒ Bounded.

Remarks

ˆ A precompact set is not always compact, but, in complete spaces, a set is precompact i its closure is compact.

ˆ The closed unit ball of an innite-dimensional normed space is never precompact. In particular, a closed bounded set is not always (pre)compact.

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Introduction Some notions of compactness Diametral dimensions

Links

Proposition

Compact =⇒ Precompact =⇒ Bounded.

Remarks

ˆ A precompact set is not always compact, but, in complete spaces, a set is precompact i its closure is compact.

ˆ The closed unit ball of an innite-dimensional normed space is never precompact. In particular, a closed bounded set is not always (pre)compact.

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Introduction Some notions of compactness Diametral dimensions

Two important classes of Fréchet spaces

Let E be a Fréchet space.

ˆ E is Montel if every bounded set is precompact.

ˆ E is Schwartz if, for every 0-ngbh U, there exists a 0-ngbh V which is precompact with respect to U.

Examples

ˆ If Ω is an open set of C, H(Ω) is Schwartz and Montel.

ˆ An innite-dimensional Banach space is neither Montel, nor Schwartz.

Warning!

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Introduction Some notions of compactness Diametral dimensions

Two important classes of Fréchet spaces

Let E be a Fréchet space.

ˆ E is Montel if every bounded set is precompact.

ˆ E is Schwartz if, for every 0-ngbh U, there exists a 0-ngbh V which is precompact with respect to U.

Examples

ˆ If Ω is an open set of C, H(Ω) is Schwartz and Montel.

ˆ An innite-dimensional Banach space is neither Montel, nor Schwartz.

Warning!

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Introduction Some notions of compactness Diametral dimensions

Two important classes of Fréchet spaces

Let E be a Fréchet space.

ˆ E is Montel if every bounded set is precompact.

ˆ E is Schwartz if, for every 0-ngbh U, there exists a 0-ngbh V which is precompact with respect to U.

Examples

ˆ If Ω is an open set of C, H(Ω) is Schwartz and Montel.

ˆ An innite-dimensional Banach space is neither Montel, nor Schwartz.

Warning!

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Introduction Some notions of compactness Diametral dimensions

Two important classes of Fréchet spaces

Let E be a Fréchet space.

ˆ E is Montel if every bounded set is precompact.

ˆ E is Schwartz if, for every 0-ngbh U, there exists a 0-ngbh V which is precompact with respect to U.

Examples

ˆ If Ω is an open set of C, H(Ω) is Schwartz and Montel.

ˆ An innite-dimensional Banach space is neither Montel, nor Schwartz.

Warning!

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Introduction Some notions of compactness Diametral dimensions

Two important classes of Fréchet spaces

Let E be a Fréchet space.

ˆ E is Montel if every bounded set is precompact.

ˆ E is Schwartz if, for every 0-ngbh U, there exists a 0-ngbh V which is precompact with respect to U.

Examples

ˆ If Ω is an open set of C, H(Ω) is Schwartz and Montel.

ˆ An innite-dimensional Banach space is neither Montel, nor Schwartz.

Warning!

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Introduction Some notions of compactness Diametral dimensions

Introduction

Some notions of compactness

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Introduction Some notions of compactness Diametral dimensions

Isomorphisms and topological invariants

Sometimes, we have to compare the structures of l.c.s./t.v.s.

Denition

An isomorphism of t.v.s. is a linear, bijective, continuous, and open map between 2 t.v.s.

ˆ Question: when are 2 t.v.s. non-isomorphic?

; Topological (linear) invariants: properties preserved by isomorphisms

Examples

Dimension in linear algebra, being Hausdor in topological spaces, etc.

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Introduction Some notions of compactness Diametral dimensions

Isomorphisms and topological invariants

Sometimes, we have to compare the structures of l.c.s./t.v.s.

Denition

An isomorphism of t.v.s. is a linear, bijective, continuous, and open map between 2 t.v.s.

ˆ Question: when are 2 t.v.s. non-isomorphic?

; Topological (linear) invariants: properties preserved by isomorphisms

Examples

Dimension in linear algebra, being Hausdor in topological spaces, etc.

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Introduction Some notions of compactness Diametral dimensions

Isomorphisms and topological invariants

Sometimes, we have to compare the structures of l.c.s./t.v.s.

Denition

An isomorphism of t.v.s. is a linear, bijective, continuous, and open map between 2 t.v.s.

ˆ Question: when are 2 t.v.s. non-isomorphic?

; Topological (linear) invariants: properties preserved by isomorphisms

Examples

Dimension in linear algebra, being Hausdor in topological spaces, etc.

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Introduction Some notions of compactness Diametral dimensions

Isomorphisms and topological invariants

Sometimes, we have to compare the structures of l.c.s./t.v.s.

Denition

An isomorphism of t.v.s. is a linear, bijective, continuous, and open map between 2 t.v.s.

ˆ Question: when are 2 t.v.s. non-isomorphic?

; Topological (linear) invariants: properties preserved by isomorphisms

Examples

Dimension in linear algebra, being Hausdor in topological spaces, etc.

(46)

Introduction Some notions of compactness Diametral dimensions

Isomorphisms and topological invariants

Sometimes, we have to compare the structures of l.c.s./t.v.s.

Denition

An isomorphism of t.v.s. is a linear, bijective, continuous, and open map between 2 t.v.s.

ˆ Question: when are 2 t.v.s. non-isomorphic?

; Topological (linear) invariants: properties preserved by isomorphisms

Examples

Dimension in linear algebra, being Hausdor in topological spaces, etc.

(47)

Introduction Some notions of compactness Diametral dimensions

Isomorphisms and topological invariants

Sometimes, we have to compare the structures of l.c.s./t.v.s.

Denition

An isomorphism of t.v.s. is a linear, bijective, continuous, and open map between 2 t.v.s.

ˆ Question: when are 2 t.v.s. non-isomorphic?

; Topological (linear) invariants: properties preserved by isomorphisms

Examples

Dimension in linear algebra, being Hausdor in topological spaces, etc.

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Introduction Some notions of compactness Diametral dimensions

Kolmogorov's diameters

Let E be a vector space, V , U ⊆ E, V ⊆ λU (λ > 0).

Denition

The nth Kolmogorov's diameters of V with respect to U is

δn(V , U) =inf {δ > 0 : ∃L ⊆ E, dim(L) ≤ n, s.t. V ⊆ δU + L} .

Important property

If U is a ball centred at 0 and associated to a seminorm, then V is precompact with respect to U ⇔ δn(V , U) →0.

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Introduction Some notions of compactness Diametral dimensions

Kolmogorov's diameters

Let E be a vector space, V , U ⊆ E, V ⊆ λU (λ > 0).

Denition

The nth Kolmogorov's diameters of V with respect to U is

δn(V , U) =inf {δ > 0 : ∃L ⊆ E, dim(L) ≤ n, s.t. V ⊆ δU + L} .

Important property

If U is a ball centred at 0 and associated to a seminorm, then V is precompact with respect to U ⇔ δn(V , U) →0.

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Introduction Some notions of compactness Diametral dimensions

Kolmogorov's diameters

Let E be a vector space, V , U ⊆ E, V ⊆ λU (λ > 0).

Denition

The nth Kolmogorov's diameters of V with respect to U is

δn(V , U) =inf {δ > 0 : ∃L ⊆ E, dim(L) ≤ n, s.t. V ⊆ δU + L} .

Important property

If U is a ball centred at 0 and associated to a seminorm, then V is precompact with respect to U ⇔ δn(V , U) →0.

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Introduction Some notions of compactness Diametral dimensions

Diametral dimension

Let E be a t.v.s. and U be a basis of 0-nghbs.

Denition

The diametral dimension of E is ∆(E ) =

n

ξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξnδn(V , U) →0o.

Properties

1. ∆is a topological invariant (if E ∼= F, then ∆(E) = ∆(F )).

2. If E is Fréchet,

ˆ if E is not Schwartz, ∆(E) = c0;

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Introduction Some notions of compactness Diametral dimensions

Diametral dimension

Let E be a t.v.s. and U be a basis of 0-nghbs.

Denition

The diametral dimension of E is ∆(E ) =

n

ξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξnδn(V , U) →0o.

Properties

1. ∆is a topological invariant (if E ∼= F, then ∆(E) = ∆(F )).

2. If E is Fréchet,

ˆ if E is not Schwartz, ∆(E) = c0;

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Introduction Some notions of compactness Diametral dimensions

Diametral dimension

Let E be a t.v.s. and U be a basis of 0-nghbs.

Denition

The diametral dimension of E is ∆(E ) =

n

ξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξnδn(V , U) →0o.

Properties

1. ∆is a topological invariant (if E ∼= F, then ∆(E) = ∆(F )).

2. If E is Fréchet,

ˆ if E is not Schwartz, ∆(E) = c0;

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Introduction Some notions of compactness Diametral dimensions

Another diametral dimension...

Denition ∆b(E ) = n ξ ∈ CN0 : ∀U ∈ U , ∀B bounded, ξnδn(B, U) →0o. Open question Do we have ∆(E ) = ∆b(E ) if E is Fréchet?

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Introduction Some notions of compactness Diametral dimensions

Another diametral dimension...

Denition ∆b(E ) = n ξ ∈ CN0 : ∀U ∈ U , ∀B bounded, ξnδn(B, U) →0o. Open question Do we have ∆(E ) = ∆b(E ) if E is Fréchet?

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Introduction Some notions of compactness Diametral dimensions Proposition If E is Fréchet, ˆ if E is not Montel, ∆b(E ) = c0; ˆ if E is Montel, l∞⊆ ∆b(E ). Consequences

ˆ If E is not Montel, ∆(E) = ∆b(E ) = c0.

ˆ If E is Montel but not Schwartz, then ∆(E) = c0 ( ∆b(E ). New open question

Do we have

∆(E ) = ∆b(E )

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Introduction Some notions of compactness Diametral dimensions Proposition If E is Fréchet, ˆ if E is not Montel, ∆b(E ) = c0; ˆ if E is Montel, l∞⊆ ∆b(E ). Consequences

ˆ If E is not Montel, ∆(E) = ∆b(E ) = c0.

ˆ If E is Montel but not Schwartz, then ∆(E) = c0 ( ∆b(E ).

New open question

Do we have

∆(E ) = ∆b(E )

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Introduction Some notions of compactness Diametral dimensions Proposition If E is Fréchet, ˆ if E is not Montel, ∆b(E ) = c0; ˆ if E is Montel, l∞⊆ ∆b(E ). Consequences

ˆ If E is not Montel, ∆(E) = ∆b(E ) = c0.

ˆ If E is Montel but not Schwartz, then ∆(E) = c0 ( ∆b(E ). New open question

Do we have

∆(E ) = ∆b(E )

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Introduction Some notions of compactness Diametral dimensions

A positive partial result

Slight variations of diametral dimensions...

∆∞(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , s.t. (ξ nδn(V , U))n∈ `∞ o , ∆∞b (E ) := n

ξ ∈ CN0 : ∀U ∈ U , ∀B bounded, (ξnδn(B, U))

n∈ `∞

o .

Theorem(2016, L.D., L. Frerick, J. Wengenroth)

If E is Fréchet-Schwartz, then

∆∞(E ) = ∆∞b (E ). In particular, if ∆(E) = ∆∞(E ), then ∆(E) = ∆

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Introduction Some notions of compactness Diametral dimensions

A positive partial result

Slight variations of diametral dimensions...

∆∞(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , s.t. (ξ nδn(V , U))n∈ `∞ o , ∆∞b (E ) := n

ξ ∈ CN0 : ∀U ∈ U , ∀B bounded, (ξnδn(B, U))

n∈ `∞

o .

Theorem(2016, L.D., L. Frerick, J. Wengenroth)

If E is Fréchet-Schwartz, then

∆∞(E ) = ∆∞b (E ).

In particular, if ∆(E) = ∆∞(E ), then ∆(E) = ∆ b(E ).

(61)

Introduction Some notions of compactness Diametral dimensions

A positive partial result

Slight variations of diametral dimensions...

∆∞(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , s.t. (ξ nδn(V , U))n∈ `∞ o , ∆∞b (E ) := n

ξ ∈ CN0 : ∀U ∈ U , ∀B bounded, (ξnδn(B, U))

n∈ `∞

o .

Theorem(2016, L.D., L. Frerick, J. Wengenroth)

If E is Fréchet-Schwartz, then

∆∞(E ) = ∆∞b (E ). In particular, if ∆(E) = ∆∞(E ), then ∆(E) = ∆

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Introduction Some notions of compactness Diametral dimensions

Schwartz spaces with ∆(E) = ∆

(E )

ˆ Classic sequence spaces (Köthe echelon spaces) (2017, F. Bastin, L.D.);

ˆ Hilbertizable spaces (in particular nuclear spaces)(2016, L.D., L. Frerick, J. Wengenroth).

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Introduction Some notions of compactness Diametral dimensions

Schwartz spaces with ∆(E) = ∆

(E )

ˆ Classic sequence spaces (Köthe echelon spaces)(2017, F. Bastin, L.D.);

ˆ Hilbertizable spaces (in particular nuclear spaces)(2016, L.D., L. Frerick, J. Wengenroth).

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Introduction Some notions of compactness Diametral dimensions

Schwartz spaces with ∆(E) = ∆

(E )

ˆ Classic sequence spaces (Köthe echelon spaces)(2017, F. Bastin, L.D.);

ˆ Hilbertizable spaces (in particular nuclear spaces)(2016, L.D., L. Frerick, J. Wengenroth).

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Introduction Some notions of compactness Diametral dimensions

Another sucient condition

Denition (2013, T. Terzio§lu)

A bounded set B of a Fréchet space E is prominent if, for every 0-ngbh U, there exist a 0-nghb V and C > 0 s.t. ∀n

δn(V , U) ≤ C δn(B, V ).

Proposition (2013, T. Terzio§lu)

If E has a prominent bounded set, then ∆(E) = ∆b(E ), but the

converse is false.

Spaces with prominent bounded sets (2016, L.D., L.F., J.W.)

Fréchet spaces with Property Ω: if U = (Uk)k,

∀m, ∃k, ∀j, ∃C >0, ∀r > 0, Uk ⊆ rUm+C rUj (the converse is false).

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Introduction Some notions of compactness Diametral dimensions

Another sucient condition

Denition (2013, T. Terzio§lu)

A bounded set B of a Fréchet space E is prominent if, for every 0-ngbh U, there exist a 0-nghb V and C > 0 s.t. ∀n

δn(V , U) ≤ C δn(B, V ). Proposition (2013, T. Terzio§lu)

If E has a prominent bounded set, then ∆(E) = ∆b(E ), but the

converse is false.

Spaces with prominent bounded sets (2016, L.D., L.F., J.W.)

Fréchet spaces with Property Ω: if U = (Uk)k,

∀m, ∃k, ∀j, ∃C >0, ∀r > 0, Uk ⊆ rUm+C rUj (the converse is false).

(67)

Introduction Some notions of compactness Diametral dimensions

Another sucient condition

Denition (2013, T. Terzio§lu)

A bounded set B of a Fréchet space E is prominent if, for every 0-ngbh U, there exist a 0-nghb V and C > 0 s.t. ∀n

δn(V , U) ≤ C δn(B, V ). Proposition (2013, T. Terzio§lu)

If E has a prominent bounded set, then ∆(E) = ∆b(E ), but the

converse is false.

Spaces with prominent bounded sets (2016, L.D., L.F., J.W.)

Fréchet spaces with Property Ω: if U = (Uk)k,

∀m, ∃k, ∀j, ∃C >0, ∀r > 0, Uk ⊆ rUm+

C rUj (the converse is false).

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Introduction Some notions of compactness Diametral dimensions

And for non-Fréchet/non-metrizable spaces?

Theorem(2017, F. Bastin, L.D.)

There exists a family of Schwartz (and/or nuclear), non-metrizable, l.c.s. E with

∆(E ) 6= ∆b(E ).

Main idea: considering spaces for which the linear span of each bounded set is nite-dimensional.

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Introduction Some notions of compactness Diametral dimensions

And for non-Fréchet/non-metrizable spaces?

Theorem(2017, F. Bastin, L.D.)

There exists a family of Schwartz (and/or nuclear), non-metrizable, l.c.s. E with

∆(E ) 6= ∆b(E ).

Main idea: considering spaces for which the linear span of each bounded set is nite-dimensional.

(70)

Introduction Some notions of compactness Diametral dimensions

And for non-Fréchet/non-metrizable spaces?

Theorem(2017, F. Bastin, L.D.)

There exists a family of Schwartz (and/or nuclear), non-metrizable, l.c.s. E with

∆(E ) 6= ∆b(E ).

Main idea: considering spaces for which the linear span of each bounded set is nite-dimensional.

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Introduction Some notions of compactness Diametral dimensions

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Introduction Some notions of compactness Diametral dimensions

References I

F. Bastin and L. Demeulenaere.

On the equality between two diametral dimensions. Functiones et Approximatio, Commentarii Mathematici, 56(1):95107, 2017.

L. Demeulenaere.

Dimension diamétrale, espaces de suites, propriétés (DN) et (Ω).

Master's thesis, University of Liège, 2014.

L. Demeulenaere, L. Frerick, and J. Wengenroth.

Diametral dimensions of Fréchet spaces. Studia Math., 234(3):271280, 2016.

H. Jarchow.

Locally Convex Spaces.

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Introduction Some notions of compactness Diametral dimensions

References II

R. G. Meise and D. Vogt.

Introduction to Functional Analysis.

Number 2 in Oxford Graduate Texts in Mathematics. Clarendon Press, Oxford, 1997.

Translated from German by M.S. Ramanujan.

T. Terzio§lu.

Quasinormability and diametral dimension. Turkish J. Math., 37(5):847851, 2013.

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