Diametral dimension and property Ω for spaces Sν
Loïc Demeulenaere (FRIA-FNRS Grantee)
FNRS Group Functional Analysis: Han-sur-Lesse
Introduction: spaces Sν and diametral dimension
The concave case
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Introduction: spaces Sν and diametral dimension
The concave case
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Spaces S
νContext
Multifractal analysis: study of signals (Holderian regularity, spectrum of singularities, wavelet decomposition, ...).
Denition
An admissible prole is a map ν : R → {−∞} ∪ [0, 1], increasing, right-continuous and s.t. αmin:=inf{α ∈ R : ν(α) ≥ 0} is nite. Some notations
αmax:=inf{α ∈ R : ν(α) = 1} ∈ R ∪{∞},
Λ := ∪j ∈N0(j, k) : k ∈ {0, ..., 2j −1} ,
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Spaces S
νContext
Multifractal analysis: study of signals (Holderian regularity, spectrum of singularities, wavelet decomposition, ...).
Introduction of spaces Sν (S. Jaard, 2004).
Denition
An admissible prole is a map ν : R → {−∞} ∪ [0, 1], increasing, right-continuous and s.t. αmin:=inf{α ∈ R : ν(α) ≥ 0} is nite. Some notations
αmax:=inf{α ∈ R : ν(α) = 1} ∈ R ∪{∞},
Λ := ∪j ∈N0(j, k) : k ∈ {0, ..., 2j −1} ,
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Spaces S
νContext
Multifractal analysis: study of signals (Holderian regularity, spectrum of singularities, wavelet decomposition, ...).
Introduction of spaces Sν (S. Jaard, 2004). Denition
An admissible prole is a map ν : R → {−∞} ∪ [0, 1], increasing, right-continuous and s.t. αmin:=inf{α ∈ R : ν(α) ≥ 0} is nite.
Λ := ∪j ∈N0(j, k) : k ∈ {0, ..., 2j −1} ,
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Spaces S
νContext
Multifractal analysis: study of signals (Holderian regularity, spectrum of singularities, wavelet decomposition, ...).
Introduction of spaces Sν (S. Jaard, 2004). Denition
An admissible prole is a map ν : R → {−∞} ∪ [0, 1], increasing, right-continuous and s.t. αmin:=inf{α ∈ R : ν(α) ≥ 0} is nite. Some notations
αmax:=inf{α ∈ R : ν(α) = 1} ∈ R ∪{∞},
Λ := ∪j ∈N0(j, k) : k ∈ {0, ..., 2j −1} ,
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Spaces S
νContext
Multifractal analysis: study of signals (Holderian regularity, spectrum of singularities, wavelet decomposition, ...).
Introduction of spaces Sν (S. Jaard, 2004). Denition
An admissible prole is a map ν : R → {−∞} ∪ [0, 1], increasing, right-continuous and s.t. αmin:=inf{α ∈ R : ν(α) ≥ 0} is nite. Some notations
αmax:=inf{α ∈ R : ν(α) = 1} ∈ R ∪{∞},
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Spaces S
νContext
Multifractal analysis: study of signals (Holderian regularity, spectrum of singularities, wavelet decomposition, ...).
Introduction of spaces Sν (S. Jaard, 2004). Denition
An admissible prole is a map ν : R → {−∞} ∪ [0, 1], increasing, right-continuous and s.t. αmin:=inf{α ∈ R : ν(α) ≥ 0} is nite. Some notations
αmax:=inf{α ∈ R : ν(α) = 1} ∈ R ∪{∞},
Λ := ∪j ∈N0(j, k) : k ∈ {0, ..., 2j −1} ,
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Denition and properties of spaces S
νDenition
The space Sν is the set of all ~c ∈ Ω s.t.
∀α ∈ R, ∀ε > 0, ∀C > 0, ∃J ∈ N0 :
#{k : |cj ,k| ≥ C2−αj} ≤2(ν(α)+ε)j ∀j ≥ J.
Metric spaces: topological vector spaces (tvs), separable, complete, Schwartz, non-nuclear.
If p0 :=min 1, inf αmin≤α<αmax∂ +ν(α)
with ∂+ν(α) =lim inf
h→0+ ν(α+h)−ν(α)
h , then
I if p0>0, Sν is exactly locally p0-convex;
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Denition and properties of spaces S
νDenition
The space Sν is the set of all ~c ∈ Ω s.t.
∀α ∈ R, ∀ε > 0, ∀C > 0, ∃J ∈ N0 :
#{k : |cj ,k| ≥ C2−αj} ≤2(ν(α)+ε)j ∀j ≥ J. Properties
Metric spaces: topological vector spaces (tvs), separable, complete, Schwartz, non-nuclear.
If p0 :=min 1, inf αmin≤α<αmax∂ +ν(α)
with ∂+ν(α) =lim inf
h→0+ ν(α+h)−ν(α)
h , then
I if p0>0, Sν is exactly locally p0-convex;
Denition and properties of spaces S
DenitionThe space Sν is the set of all ~c ∈ Ω s.t.
∀α ∈ R, ∀ε > 0, ∀C > 0, ∃J ∈ N0 :
#{k : |cj ,k| ≥ C2−αj} ≤2(ν(α)+ε)j ∀j ≥ J. Properties
Metric spaces: topological vector spaces (tvs), separable, complete, Schwartz, non-nuclear.
If p0 :=min 1, inf αmin≤α<αmax∂ +ν(α)
with ∂+ν(α) =lim inf
h→0+ ν(α+h)−ν(α)
h , then
I if p0>0, Sν is exactly locally p0-convex;
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Open question:
Are the spaces Sν isomorphic (when same local convexity)?
⇒ study of the diametral dimension... ⇒ study of the property Ω?
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Open question:
Are the spaces Sν isomorphic (when same local convexity)?
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Open question:
Are the spaces Sν isomorphic (when same local convexity)?
⇒ study of the diametral dimension... ⇒ study of the property Ω?
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension
Let E be a tvs and U be a basis of 0-neighbourhoods.
∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ
nδn(V , U) →0
o , with δn(V , U) :=inf {δ > 0 : ∃L ⊆ E, dim L ≤ n, s.t. V ⊆ δU + L}. Remark
∆is a topological invariant characterizing Schwartz and nuclear lcs.
Theorem(J.M. Aubry, F. Bastin, 2010) If Sν is locally p-convex, then
∆ (Sν) =nξ ∈ CN0 : ∀s >0, ξ
n(n +1)−s →0
o .
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension
Let E be a tvs and U be a basis of 0-neighbourhoods.
Denition
The diametral dimension of E is
∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ
nδn(V , U) →0
o , with δn(V , U) :=inf {δ > 0 : ∃L ⊆ E, dim L ≤ n, s.t. V ⊆ δU + L}.
Remark
∆is a topological invariant characterizing Schwartz and nuclear lcs.
Theorem(J.M. Aubry, F. Bastin, 2010) If Sν is locally p-convex, then
∆ (Sν) =nξ ∈ CN0 : ∀s >0, ξ
n(n +1)−s →0
o .
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension
Let E be a tvs and U be a basis of 0-neighbourhoods.
Denition
The diametral dimension of E is
∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ
nδn(V , U) →0
o , with δn(V , U) :=inf {δ > 0 : ∃L ⊆ E, dim L ≤ n, s.t. V ⊆ δU + L}. Remark
∆is a topological invariant characterizing Schwartz and nuclear lcs.
∆ (Sν) =nξ ∈ CN0 : ∀s >0, ξ
n(n +1)−s →0
o .
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension
Let E be a tvs and U be a basis of 0-neighbourhoods.
Denition
The diametral dimension of E is
∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ
nδn(V , U) →0
o , with δn(V , U) :=inf {δ > 0 : ∃L ⊆ E, dim L ≤ n, s.t. V ⊆ δU + L}. Remark
∆is a topological invariant characterizing Schwartz and nuclear lcs.
Theorem(J.M. Aubry, F. Bastin, 2010) If Sν is locally p-convex, then
∆ (Sν) =nξ ∈ CN0 : ∀s >0, ξ
n(n +1)−s →0
o .
Introduction: spaces Sν and diametral dimension
The concave case
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
When ν is concave... it's nice! ,
Denition (Besov spaces)
For p > 0 and s ∈ R, bp,∞s := ~ c ∈ Ω : k~ckbs p,∞ := sup j ∈N0 2 (s−1p)j 2j−1 X k=0 |cj ,k|p 1/p < ∞ .
Proposition (J.M. Aubry, F. Bastin, S. Dispa, S. Jaard, 2006) If (pn)n∈N is a dense sequence of (0, ∞) and εm →0+, then
Sν = \ n∈N \ m∈N b η(pn) pn −εm pn,∞ ,
where η : p > 0 7→ infα≥αmin{αp − ν(α) +1}.
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
When ν is concave... it's nice! ,
Denition (Besov spaces)For p > 0 and s ∈ R, bp,∞s := ~ c ∈ Ω : k~ckbs p,∞:= sup j ∈N0 2 (s−1p)j 2j−1 X k=0 |cj ,k|p 1/p < ∞ . Sν = \ n∈N \ m∈N b η(pn) pn −εm pn,∞ ,
where η : p > 0 7→ infα≥αmin{αp − ν(α) +1}.
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
When ν is concave... it's nice! ,
Denition (Besov spaces)For p > 0 and s ∈ R, bp,∞s := ~ c ∈ Ω : k~ckbs p,∞:= sup j ∈N0 2 (s−1p)j 2j−1 X k=0 |cj ,k|p 1/p < ∞ .
Proposition (J.M. Aubry, F. Bastin, S. Dispa, S. Jaard, 2006) If (pn)n∈N is a dense sequence of (0, ∞) and εm →0+, then
Sν = \ n∈N \ m∈N b η(pn) pn −εm pn,∞ ,
where η : p > 0 7→ infα≥αmin{αp − ν(α) +1}.
When ν is concave... it's nice! ,
Denition (Besov spaces)For p > 0 and s ∈ R, bp,∞s := ~ c ∈ Ω : k~ckbs p,∞:= sup j ∈N0 2 (s−1p)j 2j−1 X k=0 |cj ,k|p 1/p < ∞ .
Proposition (J.M. Aubry, F. Bastin, S. Dispa, S. Jaard, 2006) If (pn)n∈N is a dense sequence of (0, ∞) and εm →0+, then
Sν = \ n∈N \ m∈N b η(pn) pn −εm pn,∞ ,
where η : p > 0 7→ infα≥αmin{αp − ν(α) +1}.
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
When ν is concave... it's nice! ,
Topology dened by Pm(I )(~c) =sup i ∈I sup j ∈N0 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi
when I ⊆ N is nite and m ∈ N.
Numbers for weights j =0 (0, 0)
j =1 (1, 0) (1, 1)
When ν is concave... it's nice! ,
Topology dened by Pm(I )(~c) =sup i ∈I sup j ∈N0 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi when I ⊆ N is nite and m ∈ N.
Numbers for weights j =0 (0, 0)
j =1 (1, 0) (1, 1)
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
When ν is concave... it's nice! ,
Topology dened by Pm(I )(~c) =sup i ∈I j ∈Nsup0 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi
when I ⊆ N is nite and m ∈ N.
Numbers for weights
j =0 0
j =1 (1, 0) (1, 1)
When ν is concave... it's nice! ,
Topology dened by Pm(I )(~c) =sup i ∈I j ∈Nsup0 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi when I ⊆ N is nite and m ∈ N.
Numbers for weights
j =0 0
j =1 1 (1, 1)
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
When ν is concave... it's nice! ,
Topology dened by Pm(I )(~c) =sup i ∈I j ∈Nsup0 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi
when I ⊆ N is nite and m ∈ N.
Numbers for weights
j =0 0
j =1 1 //2
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
When ν is concave... it's nice! ,
Topology dened by Pm(I )(~c) =sup i ∈I sup j ∈N0 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi
when I ⊆ N is nite and m ∈ N.
Numbers for weights
j =0 0 j =1 1 //2 j =2 3 //4 //5 //6 2 −1 ≤n≤2 −2.
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
When ν is concave... it's nice! ,
Topology dened by Pm(I )(~c) =sup i ∈I sup j ∈N0 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi
when I ⊆ N is nite and m ∈ N.
Numbers for weights
j =0 0
j =1 1 //2
j =2 3 //4 //5 //6
Scalej associated to the numbern: j (n)s.t.
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
A rst property
Proposition If I ⊆ N is nite and if k0 ≥ m, δn B P(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n).Reminder: δn(V , U) :=inf {δ > 0 : ∃L, dim L ≤ n, s.t. V ⊆ δU + L}.
Pm(I )(~c − πn(~c)) ≤sup i ∈I sup j ≥j (n) 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εk0−εm)j (n). ⇒ ~c = ~c − πn(~c) + πn(~c) ∈2(εk0−εm)j (n)BP(I ) m + πn(S ν).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
A rst property
Proposition If I ⊆ N is nite and if k0 ≥ m, δn B P(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n).Reminder: δn(V , U) :=inf {δ > 0 : ∃L, dim L ≤ n, s.t. V ⊆ δU + L}. Proof: πn: Sν → Sν projection on the rst n −→ej ,k (from −→e0,0) and
~ c ∈ B P(I ) k0. Pm(I )(~c − πn(~c)) ≤sup i ∈I sup j ≥j (n) 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εk0−εm)j (n). ⇒ ~c = ~c − πn(~c) + πn(~c) ∈2(εk0−εm)j (n)BP(I ) m + πn(S ν).
A rst property
Proposition If I ⊆ N is nite and if k0 ≥ m, δn B P(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n).Reminder: δn(V , U) :=inf {δ > 0 : ∃L, dim L ≤ n, s.t. V ⊆ δU + L}. Proof: πn: Sν → Sν projection on the rst n −→ej ,k (from −→e0,0) and
~ c ∈ B P(I ) k0. Pm(I )(~c − πn(~c)) ≤sup i ∈I sup j ≥j (n) 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εk0−εm)j (n). ⇒ ~c = ~c − πn(~c) + πn(~c) ∈2(εk0−εm)j (n)BP(I ) m + πn(S ν).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
A rst property
Proposition If I ⊆ N is nite and if k0 ≥ m, δn B P(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n).Reminder: δn(V , U) :=inf {δ > 0 : ∃L, dim L ≤ n, s.t. V ⊆ δU + L}. Proof: πn: Sν → Sν projection on the rst n −→ej ,k (from −→e0,0) and
~ c ∈ B P(I ) k0. Pm(I )(~c − πn(~c)) ≤sup i ∈I sup j ≥j (n) 2 (εk0−εm)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εk0−εm)j (n). ⇒ ~c = ~c − πn(~c) + πn(~c) ∈2(εk0−εm)j (n)BP(I ) m + πn(S ν).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
A rst property
Proposition If I ⊆ N is nite and if k0 ≥ m, δn B P(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n).Reminder: δn(V , U) :=inf {δ > 0 : ∃L, dim L ≤ n, s.t. V ⊆ δU + L}. Proof: πn: Sν → Sν projection on the rst n −→ej ,k (from −→e0,0) and
~ c ∈ B P(I ) k0. Pm(I )(~c − πn(~c)) ≤sup i ∈I sup j ≥j (n) 2 (εk0−εm)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εk0−εm)j (n)P(I ) k0(~c) ≤2 (εk0−εm)j (n).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
A rst property
Proposition If I ⊆ N is nite and if k0 ≥ m, δn B P(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n).Reminder: δn(V , U) :=inf {δ > 0 : ∃L, dim L ≤ n, s.t. V ⊆ δU + L}. Proof: πn: Sν → Sν projection on the rst n −→ej ,k (from −→e0,0) and
~ c ∈ B P(I ) k0. Pm(I )(~c − πn(~c)) ≤sup i ∈I sup j ≥j (n) 2 (εk0−εm)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εk0−εm)j (n)P(I ) k0(~c) ≤2 (εk0−εm)j (n). ⇒ ~c = ~c − πn(~c) + πn(~c) ∈2(εk0−εm)j (n)BP(I ) m + πn(S ν).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
A rst property
Proposition If I ⊆ N is nite and if k0 ≥ m, δn B P(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n). Corollary n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0 if n → ∞o⊆ ∆(Sν). Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. δn BP(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n)≤2εm−εk0(n +2)εk0−εm | {z } becausen ≤ 2j (n)+1−2 ≤2εm−εk0(n +1)εk0−εm.Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
A rst property
Proposition If I ⊆ N is nite and if k0 ≥ m, δn B P(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n). Corollary n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0 if n → ∞o⊆ ∆(Sν). Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: If k0 > m, δn B P(I ) k0 , B Pm(I ) ≤2(εk0−εm)j (n)≤2εm−εk0(n +2)εk0−εm | {z } becausen ≤ 2j (n)+1−2 ≤2εm−εk0(n +1)εk0−εm.Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
And for the other inclusion?
We need another assumption...
lim
p→0+
η(p)
p = αmax.
Reminders: η(p) = infα≥αmin{αp − ν(α) +1}, αmax=inf{α ∈ R : ν(α) = 1}.
Assumption: αmax< ∞
Examples
When Sν is locally p-convex, α
max < ∞. 0.5 1.0 1.5 2.0 0.2 0.4 0.6 0.8 1.0
Pseudoconvexity, with αmax < ∞ (blue) and αmax= ∞(orange).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
And for the other inclusion?
We need another assumption...
Lemma (L.D., 2017) lim
p→0+
η(p)
p = αmax.
Reminders: η(p) = infα≥αmin{αp − ν(α) +1}, αmax=inf{α ∈ R : ν(α) = 1}.
Assumption: αmax< ∞
Examples
When Sν is locally p-convex, α
max < ∞. 0.5 1.0 1.5 2.0 0.2 0.4 0.6 0.8 1.0
Pseudoconvexity, with αmax < ∞ (blue) and αmax= ∞(orange).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
And for the other inclusion?
We need another assumption...
Lemma (L.D., 2017) lim
p→0+
η(p)
p = αmax.
Reminders: η(p) = infα≥αmin{αp − ν(α) +1}, αmax=inf{α ∈ R : ν(α) = 1}.
Assumption: αmax< ∞
When S is locally p-convex, αmax .
0.5 1.0 1.5 2.0 0.2 0.4 0.6 0.8 1.0
Pseudoconvexity, with αmax < ∞ (blue) and αmax= ∞(orange).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
And for the other inclusion?
We need another assumption...
Lemma (L.D., 2017) lim
p→0+
η(p)
p = αmax.
Reminders: η(p) = infα≥αmin{αp − ν(α) +1}, αmax=inf{α ∈ R : ν(α) = 1}.
Assumption: αmax< ∞
Examples
When Sν is locally p-convex, α
max< ∞. 0.5 1.0 1.5 2.0 0.2 0.4 0.6 0.8 1.0
Pseudoconvexity, with αmax < ∞ (blue) and αmax= ∞(orange).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Construction of the I
ε's
We x ε ∈ Q+. 0 < p < pi0 ⇒ p − i0 pi0 ≤ ε. NB: p > 0 7→ η(p) p =infα≥αmin n α +1−ν(α)p o is decreasing and (pn)n∈N≡ Q+. 2. ∃` ∈ N0 s.t. `ε < p1 i0 ≤ (` +1)ε. For k = 0, ..., `, we dene ik ∈ N by 1 pik = 1 pi0 − kε. 3. Iε:= {i0, ..., i`}.Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Construction of the I
ε's
We x ε ∈ Q+.
1. Because αmax < ∞, ∃i0 ∈ N s.t.
0 < p < pi0 ⇒ η(p) p − η(pi0) pi0 ≤ ε. NB: p > 0 7→ η(p) p =infα≥αmin n α +1−ν(α)p o is decreasing and (pn)n∈N≡ Q+. 2. ∃` ∈ N0 s.t. `ε < p1 i0 ≤ (` +1)ε. For k = 0, ..., `, we dene ik ∈ N by 1 pik = 1 pi0 − kε. 3. Iε:= {i0, ..., i`}.
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Construction of the I
ε's
We x ε ∈ Q+.
1. Because αmax < ∞, ∃i0 ∈ N s.t.
0 < p < pi0 ⇒ η(p) p − η(pi0) pi0 ≤ ε. NB: p > 0 7→ η(p) p =infα≥αmin n α +1−ν(α)p o is decreasing and (pn)n∈N≡ Q+. 2. ∃` ∈ N0 s.t. `ε <p1 i0 ≤ (` +1)ε. For k = 0, ..., `, we dene ik ∈ N by 1 pik = 1 pi0 − kε.
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Construction of the I
ε's
We x ε ∈ Q+.
1. Because αmax < ∞, ∃i0 ∈ N s.t.
0 < p < pi0 ⇒ η(p) p − η(pi0) pi0 ≤ ε. NB: p > 0 7→ η(p) p =infα≥αmin n α +1−ν(α)p o is decreasing and (pn)n∈N≡ Q+. 2. ∃` ∈ N0 s.t. `ε <p1 i0 ≤ (` +1)ε. For k = 0, ..., `, we dene ik ∈ N by 1 pik = 1 pi0 − kε. 3. Iε:= {i0, ..., i`}.
The main property of the I
's
Proposition (L.D., 2017) If m, n ∈ N and ~c ∈ Sν, k~ck bpn,∞η(pn)/pn−εm ≤sup i ∈Iε sup j ∈N0 2 η(pi ) pi −pi1+ε−εm j 2j−1 X k=0 |cj ,k|pi 1/pi . Proof: Admitted.Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Consequences
PropositionLet m, k0∈ N be given, k0 ≥ m. If Iε⊆ J ⊆ N, J nite, then,
δn BP(J) k0 , BP(Iε) m ≥2(εk0−εm−ε)j(n).
Proof: Follows from:
Proposition (A. Pietsch, 1972)
Let (E, k.k) be a normed space, with closed unit ball U, and B be bounded. If ∃ P : E → E proj. with kPk ≤ 1, dim P(E) = n + 1, then ∃δ >0 : δU ∩ P(E) ⊆ B ⇒ δn(B, U) ≥ δ. Here: U = B Pm(Iε),B = BP (J) k0, P = πn+1 projection on the rst n + 1 −→ ej ,k andδ =2(εk0−εm−ε)j(n).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Consequences
PropositionLet m, k0∈ N be given, k0 ≥ m. If Iε⊆ J ⊆ N, J nite, then,
δn BP(J) k0 , BP(Iε) m ≥2(εk0−εm−ε)j(n).
Proof: Follows from:
Proposition (A. Pietsch, 1972)
Let (E, k.k) be a normed space, with closed unit ball U, and B be bounded. If ∃ P : E → E proj. with kPk ≤ 1, dim P(E) = n + 1, then
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Consequences
PropositionLet m, k0∈ N be given, k0 ≥ m. If Iε⊆ J ⊆ N, J nite, then,
δn BP(J) k0 , BP(Iε) m ≥2(εk0−εm−ε)j(n).
Proof: Follows from:
Proposition (A. Pietsch, 1972)
Let (E, k.k) be a normed space, with closed unit ball U, and B be bounded. If ∃ P : E → E proj. with kPk ≤ 1, dim P(E) = n + 1, then
∃δ >0 : δU ∩ P(E) ⊆ B ⇒ δn(B, U) ≥ δ. Here: U = B
Pm(Iε),B = BPk0(J),P = πn+1 projection on the rst n + 1 −→
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity Thesis 2(εk0−εm−ε)j(n)B Pm(Iε) ∩ πn+1(Sν) ⊆ B P(J) k0 ⇔ Pk(J) 0 (~c) ≤2 (εm+ε−εk0)j (n)P(Iε) m (~c) ∀~c ∈ πn+1(Sν). Pk(J) 0 (~c) ≤sup i ∈Iε sup j ∈N0 2 η(pi ) pi −pi1+ε−εk0 j 2−1 X k=0 |cj ,k|pi ≤2(εm+ε−εk0)j (n)sup i ∈Iε sup j ≤j (n) 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi =2(εm+ε−εk0)j (n)P(Iε) m (~c).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity Thesis 2(εk0−εm−ε)j(n)B Pm(Iε) ∩ πn+1(Sν) ⊆ B P(J) k0 ⇔ Pk(J) 0 (~c) ≤2 (εm+ε−εk0)j (n)P(Iε) m (~c) ∀~c ∈ πn+1(Sν).
But, by last Proposition, if ~c ∈ πn+1(Sν)
Pk(J) 0 (~c) ≤sup i ∈Iε sup j ∈N0 2 η(pi ) pi −pi1+ε−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εm+ε−εk0)j (n)sup i ∈Iε sup j ≤j (n) 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi =2(εm+ε−εk0)j (n)P(Iε) m (~c).
Thesis 2(εk0−εm−ε)j(n)B Pm(Iε) ∩ πn+1(Sν) ⊆ B P(J) k0 ⇔ Pk(J) 0 (~c) ≤2 (εm+ε−εk0)j (n)P(Iε) m (~c) ∀~c ∈ πn+1(Sν).
But, by last Proposition, if ~c ∈ πn+1(Sν)
Pk(J) 0 (~c) ≤sup i ∈Iε sup j ≤j (n) 2 η(pi ) pi −pi1+ε−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εm+ε−εk0)j (n)sup i ∈Iε sup j ≤j (n) 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi =2(εm+ε−εk0)j (n)P(Iε) m (~c).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity Thesis 2(εk0−εm−ε)j(n)B Pm(Iε) ∩ πn+1(Sν) ⊆ B P(J) k0 ⇔ Pk(J) 0 (~c) ≤2 (εm+ε−εk0)j (n)P(Iε) m (~c) ∀~c ∈ πn+1(Sν).
But, by last Proposition, if ~c ∈ πn+1(Sν)
Pk(J) 0 (~c) ≤sup i ∈Iε sup j ≤j (n) 2( εm+ε−εk0)j2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εm+ε−εk0)j (n)sup i ∈Iε sup j ≤j (n) 2 η(pi ) pi −pi1+εm j 2j−1 X k=0 |cj ,k|pi 1/pi =2(εm+ε−εk0)j (n)P(Iε) m (~c).
Thesis 2(εk0−εm−ε)j(n)B Pm(Iε) ∩ πn+1(Sν) ⊆ B P(J) k0 ⇔ Pk(J) 0 (~c) ≤2 (εm+ε−εk0)j (n)P(Iε) m (~c) ∀~c ∈ πn+1(Sν).
But, by last Proposition, if ~c ∈ πn+1(Sν)
Pk(J) 0 (~c) ≤sup i ∈Iε sup j ≤j (n) 2( εm+ε−εk0)j2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εm+ε−εk0)j (n)sup i ∈Iε sup j ≤j (n) 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi =2(εm+ε−εk0)j (n)P(Iε) m (~c).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity Thesis 2(εk0−εm−ε)j(n)B Pm(Iε) ∩ πn+1(Sν) ⊆ B P(J) k0 ⇔ Pk(J) 0 (~c) ≤2 (εm+ε−εk0)j (n)P(Iε) m (~c) ∀~c ∈ πn+1(Sν).
But, by last Proposition, if ~c ∈ πn+1(Sν)
Pk(J) 0 (~c) ≤sup i ∈Iε sup j ≤j (n) 2( εm+ε−εk0)j2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2(εm+ε−εk0)j (n)sup i ∈Iε sup j ≤j (n) 2 η(pi ) pi −pi1−εm j 2j−1 X k=0 |cj ,k|pi 1/pi =2(εm+ε−εk0)j (n)P(Iε) m (~c).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o.
By def., ∃k0≥ m and Iε⊆ J ⊆ N, J nite, s.t.
ξnδn B P(J) k0 , B Pm(Iε) →0. But, by last Proposition,
δn B P(J) k0 , B Pm(Iε) ≥2(εk0−εm−ε)j(n).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: ⊇ OK! ⊆ ξ ∈ ∆(Sν), s > 0. We take m ∈ N s.t. ε m≤ s/2 and ε := εm.
By def., ∃k0≥ m and Iε⊆ J ⊆ N, J nite, s.t.
ξnδn B P(J) k0 , B Pm(Iε) →0. But, by last Proposition,
δn B P(J) k0 , B Pm(Iε) ≥2(εk0−εm−ε)j(n).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: ⊇ OK! ⊆ ξ ∈ ∆(Sν), s > 0. ξnδn B P(J) k0 , B Pm(Iε) →0. But, by last Proposition,
δn B P(J) k0 , B Pm(Iε) ≥2(εk0−εm−ε)j(n).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: ⊇ OK! ⊆ ξ ∈ ∆(Sν), s > 0. We take m ∈ N s.t. ε m≤ s/2 and ε := εm.
By def., ∃k0≥ m and Iε⊆ J ⊆ N, J nite, s.t.
ξnδn B P(J) k0 , B Pm(Iε) →0. But, by last Proposition,
δn B P(J) k0 , B Pm(Iε) ≥2(εk0−εm−ε)j(n).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: ⊇ OK! ⊆ ξ ∈ ∆(Sν), s > 0. We take m ∈ N s.t. ε m≤ s/2 and ε := εm.
By def., ∃k0≥ m and Iε⊆ J ⊆ N, J nite, s.t.
ξnδn B P(J) k0 , B Pm(Iε) →0. δn BP(J) k0 , B Pm(Iε) ≥2 .
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: ⊇ OK! ⊆ ξ ∈ ∆(Sν), s > 0. We take m ∈ N s.t. ε m≤ s/2 and ε := εm.
By def., ∃k0≥ m and Iε⊆ J ⊆ N, J nite, s.t.
ξnδn B P(J) k0 , B Pm(Iε) →0. But, by last Proposition,
δn B P(J) k0 , B Pm(Iε) ≥2(εk0−εm−ε)j(n).
Diametral dimension and spaces S
Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: ⊇ OK! ⊆ ξ ∈ ∆(Sν), s > 0. We take m ∈ N s.t. ε m≤ s/2 and ε := εm.
By def., ∃k0≥ m and Iε⊆ J ⊆ N, J nite, s.t.
ξnδn B P(J) k0 , B Pm(Iε) →0. But, by last Proposition,
δn B P(J) k0 , B Pm(Iε) ≥2(εk0−2εm)j (n).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: ⊇ OK! ⊆ ξ ∈ ∆(Sν), s > 0. We take m ∈ N s.t. ε m≤ s/2 and ε := εm.
By def., ∃k0≥ m and Iε⊆ J ⊆ N, J nite, s.t.
ξnδn B P(J) k0 , B Pm(Iε) →0. But, by last Proposition,
δn B P(J) k0 , B Pm(Iε) ≥2−2εmj (n).
Diametral dimension and spaces S
Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: ⊇ OK! ⊆ ξ ∈ ∆(Sν), s > 0. We take m ∈ N s.t. ε m≤ s/2 and ε := εm.
By def., ∃k0≥ m and Iε⊆ J ⊆ N, J nite, s.t.
ξnδn B P(J) k0 , B Pm(Iε) →0. But, by last Proposition,
δn B P(J) k0 , B Pm(Iε) ≥2−sj (n).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞,
∆ (Sν) = n ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0o. Reminder: ∆(E ) :=nξ ∈ CN0 : ∀U ∈ U , ∃V ∈ U , V ⊆ U, s.t. ξ nδn(V , U) →0o. Proof: ⊇ OK! ⊆ ξ ∈ ∆(Sν), s > 0. We take m ∈ N s.t. ε m≤ s/2 and ε := εm.
By def., ∃k0≥ m and Iε⊆ J ⊆ N, J nite, s.t.
ξnδn B P(J) k0 , B Pm(Iε) →0. But, by last Proposition,
δn B P(J) k0 , B Pm(Iε) ≥2−sj (n)≥ (n +1)−s (2j (n)−1 ≤ n).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Property Ω
DenitionA Fréchet space E, with a fundamental system of semi-norms (k.kn)n∈N, has the property Ω if
∀m ∃k ∀j ∃C >0 : kx0k∗k2
≤ C kx0k∗mkx0k∗j ∀x0 ∈ E0 where k.k∗
m is the dual norm of k.km.
the property Ω i
∀m ∃k ∀j ∃C >0 : Uk ⊆ rUj +
C
r Um ∀r >0. ; Property (Ωid)
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Property Ω
DenitionA Fréchet space E, with a fundamental system of semi-norms (k.kn)n∈N, has the property Ω if
∀m ∃k ∀j ∃C >0 : kx0k∗k2
≤ C kx0k∗mkx0k∗j ∀x0 ∈ E0 where k.k∗
m is the dual norm of k.km. Characterization
A Fréchet space E, with a basis of 0-neighbourhoods (Un)n∈N, has
the property Ω i
∀m ∃k ∀j ∃C >0 : Uk ⊆ rUj +
C
r Um ∀r >0. ; Property (Ωid)
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Property Ω and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞, then Sν has the property (Ωid).
ThesisIf j0 ∈ N and Ij0 ⊆ N, Ij0 nite, then
B P(Ik0) k0 ⊆ rB P(Ij0) j0 + 1 rBPm(Im) ∀r >0. 1. If r ≤ 1, B P(Ik0) k0 ⊆ B Pm(Im) ⊆ 1rB Pm(Im) ⊆ rB P(Ij0) j0 +1rB Pm(Im).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Property Ω and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞, then Sν has the property (Ωid).
Proof: We x m ∈ N and Im ⊆ N nite.
∃k0 s.t. εk0 < εm/2: we put Ik0 := Iε∪ Im, with ε := εm/2 − εk0. ThesisIf j0 ∈ N and Ij0 ⊆ N, Ij0 nite, then
B P(Ik0) k0 ⊆ rB P(Ij0) j0 + 1 rBPm(Im) ∀r >0. 1. If r ≤ 1, B P(Ik0) k0 ⊆ B Pm(Im) ⊆ 1rB Pm(Im) ⊆ rB P(Ij0) j0 +1rB Pm(Im).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Property Ω and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞, then Sν has the property (Ωid).
Proof: We x m ∈ N and Im ⊆ N nite.
∃k0 s.t. εk0 < εm/2: we put Ik0 := Iε∪ Im, with ε := εm/2 − εk0. B P(Ik0) k0 ⊆ rB P(Ij0) j0 + 1 rBPm(Im) ∀r >0. 1. If r ≤ 1, B P(Ik0) k0 ⊆ B Pm(Im) ⊆ 1rB Pm(Im) ⊆ rB P(Ij0) j0 +1rB Pm(Im).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Property Ω and spaces S
ν Theorem(L.D., 2017)If ν is concave and αmax< ∞, then Sν has the property (Ωid).
Proof: We x m ∈ N and Im ⊆ N nite.
∃k0 s.t. εk0 < εm/2: we put Ik0 := Iε∪ Im, with ε := εm/2 − εk0. ThesisIf j0 ∈ N and Ij0 ⊆ N, Ij0 nite, then
B P(Ik0) k0 ⊆ rB P(Ij0) j0 + 1 rBPm(Im) ∀r >0. 1. If r ≤ 1, B P(Ik0) k0 ⊆ B Pm(Im) ⊆ 1rB Pm(Im) ⊆ rB P(Ij0) j0 +1rB Pm(Im).
Property Ω and spaces S
Theorem(L.D., 2017)If ν is concave and αmax< ∞, then Sν has the property (Ωid).
Proof: We x m ∈ N and Im ⊆ N nite.
∃k0 s.t. εk0 < εm/2: we put Ik0 := Iε∪ Im, with ε := εm/2 − εk0. ThesisIf j0 ∈ N and Ij0 ⊆ N, Ij0 nite, then
B P(Ik0) k0 ⊆ rB P(Ij0) j0 + 1 rBPm(Im) ∀r >0. 1. If r ≤ 1, B P(Ik0) k0 ⊆ B Pm(Im) ⊆ 1 rBPm(Im)⊆ rBP(Ij0) j0 +1rB Pm(Im).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity 2. If r ≥ 1.∃J ∈ N0 s.t. 2εm2 J ≤ r ≤2εm2 (J+1). For ~c ∈ B P(Ik0) k0 , ~ c1 := J X j =0 2j−1 X k=0 cj ,k−→ej ,k and c~2:= ∞ X j =J+1 2j−1 X k=0 cj ,k−→ej ,k.
So, since Iε⊆ Ik0 and ε = εm/2 − εk0,
Pj(Ij0) 0 ( ~c1) ≤supi ∈I ε sup j ≤J 2 η(pi ) pi −pi1+ε−εj0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2εm2 JPk(Ik0) 0 (~c) ≤ r , so ~c1∈ rB P(Ij0) j0 .
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity 2. If r ≥ 1.∃J ∈ N0 s.t. 2εm2 J ≤ r ≤2εm2 (J+1). For ~c ∈ B P(Ik0) k0 , ~ c1 := J X j =0 2j−1 X k=0 cj ,k−→ej ,k and c~2:= ∞ X j =J+1 2j−1 X k=0 cj ,k−→ej ,k. Pj(Ij0) 0 ( ~c1) ≤supi ∈I ε sup j ≤J 2 η(pi ) pi −pi1+ε−εj0 j 2−1 X k=0 |cj ,k|pi ≤2εm2 JPk(Ik0) 0 (~c) ≤ r , so ~c1∈ rB P(Ij0) j0 .
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity 2. If r ≥ 1.∃J ∈ N0 s.t. 2εm2 J ≤ r ≤2εm2 (J+1). For ~c ∈ B P(Ik0) k0 , ~ c1 := J X j =0 2j−1 X k=0 cj ,k−→ej ,k and c~2:= ∞ X j =J+1 2j−1 X k=0 cj ,k−→ej ,k.
So, since Iε⊆ Ik0 and ε = εm/2 − εk0,
Pj(Ij0) 0 ( ~c1) ≤supi ∈I ε sup j ≤J 2 η(pi ) pi −pi1+ε−εj0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2εm2 JP(Ik0) k0 (~c) ≤ r , so ~c1∈ rB P(Ij0) j0 .
For ~c ∈ B P(Ik0) k0 , ~ c1 := J X j =0 2j−1 X k=0 cj ,k−→ej ,k and c~2:= ∞ X j =J+1 2j−1 X k=0 cj ,k−→ej ,k.
So, since Iε⊆ Ik0 and ε = εm/2 − εk0,
Pj(Ij0) 0 ( ~c1) ≤i ∈supI k0 sup j ≤J 2 η(pi ) pi −pi1+ε−εj0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2εm2 JP(Ik0) k0 (~c) ≤ r , so ~c1∈ rB P(Ij0) j0 .
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity 2. If r ≥ 1.∃J ∈ N0 s.t. 2εm2 J ≤ r ≤2εm2 (J+1). For ~c ∈ B P(Ik0) k0 , ~ c1 := J X j =0 2j−1 X k=0 cj ,k−→ej ,k and c~2:= ∞ X j =J+1 2j−1 X k=0 cj ,k−→ej ,k.
So, since Iε⊆ Ik0 and ε = εm/2 − εk0,
Pj(Ij0) 0 ( ~c1) ≤i ∈supI k0 sup j ≤J 2 (ε+εk0−εj0)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2εm2 JP(Ik0) k0 (~c) ≤ r , so ~c1∈ rB P(Ij0) j0 .
For ~c ∈ B P(Ik0) k0 , ~ c1 := J X j =0 2j−1 X k=0 cj ,k−→ej ,k and c~2:= ∞ X j =J+1 2j−1 X k=0 cj ,k−→ej ,k.
So, since Iε⊆ Ik0 and ε = εm/2 − εk0,
Pj(Ij0) 0 ( ~c1) ≤i ∈supI k0 sup j ≤J 2 (ε+εk0−εj0)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2εm2 JP(Ik0) k0 (~c) (ε + εk0− εj0 ≤ εm/2) ≤ r , so ~c1∈ rB P(Ij0) j0 .
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity 2. If r ≥ 1.∃J ∈ N0 s.t. 2εm2 J ≤ r ≤2εm2 (J+1). For ~c ∈ B P(Ik0) k0 , ~ c1 := J X j =0 2j−1 X k=0 cj ,k−→ej ,k and c~2:= ∞ X j =J+1 2j−1 X k=0 cj ,k−→ej ,k.
So, since Iε⊆ Ik0 and ε = εm/2 − εk0,
Pj(Ij0) 0 ( ~c1) ≤i ∈supI k0 sup j ≤J 2 (ε+εk0−εj0)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2εm2 JP(Ik0) k0 (~c) (ε + εk0− εj0 ≤ εm/2) ≤ r , so ~c1∈ rB P(Ij0) j0 .
For ~c ∈ B P(Ik0) k0 , ~ c1 := J X j =0 2j−1 X k=0 cj ,k−→ej ,k and c~2:= ∞ X j =J+1 2j−1 X k=0 cj ,k−→ej ,k.
So, since Iε⊆ Ik0 and ε = εm/2 − εk0,
Pj(Ij0) 0 ( ~c1) ≤i ∈supI k0 sup j ≤J 2 (ε+εk0−εj0)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2εm2 JP(Ik0) k0 (~c) (ε + εk0− εj0 ≤ εm/2) ≤ r , so ~c1∈ rB P(Ij0) j0 .
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity Because Im⊆ Ik0 and εk0 < εm/2, P(Im) m ( ~c2) ≤ sup i ∈Ik0j ≥J+sup1 2 (εk0−εm)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2−εm2 (J+1)Pk(Ik0) 0 (~c) ≤ 1 r (2 εm 2 J ≤ r ≤2εm2 (J+1)), so ~c2∈ 1rBPm(Im). Finally,~c = ~c1+ ~c2 ∈ rB P(Ij0) j0 +1rB Pm(Im).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity Because Im⊆ Ik0 and εk0 < εm/2, P(Im) m ( ~c2) ≤ sup i ∈Ik0j ≥J+sup1 2 (εk0−εm)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2−εm2 (J+1)Pk(Ik0) 0 (~c) ≤ 1 r (2 εm 2 J ≤ r ≤2εm2 (J+1)), so ~c2∈ 1rBPm(Im).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity Because Im⊆ Ik0 and εk0 < εm/2, P(Im) m ( ~c2) ≤ sup i ∈Ik0j ≥J+sup1 2 (εk0−εm)j2 η(pi ) pi −pi1−εk0 j 2j−1 X k=0 |cj ,k|pi 1/pi ≤2−εm2 (J+1)Pk(Ik0) 0 (~c) ≤ 1 r (2 εm 2 J ≤ r ≤2εm2 (J+1)), so ~c2∈ 1rBPm(Im). Finally,~c = ~c1+ ~c2∈ rB P(Ij0) j0 +1rB Pm(Im).
Introduction: spaces Sν and diametral dimension
The concave case
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
When p
0>
0...
Reminder: Sνlocally p0-convex i p0=min 1, infαmin≤α<αmax∂+ν(α) >0. Denition For ~c ∈ Sν, α, s ∈ R, k~ckα,s :=inf n k~c0k bs p0,∞+ k ~c 00k bα ∞,∞: ~c = ~c 0+ ~c00o where k~c0k bs p0,∞ =j ∈Nsup 0 2 (s−1 p0)j 2j−1 X k=0 |cj ,k0 | p0 1/p0 , k ~c00k bα ∞,∞=sup j ∈N0 sup 0≤k≤2j−1 2αj|c00 j ,k| .
Proposition (J.M. Aubry, F. Bastin, 2010)
The topology of Sν is dened by the pseudonorms |||~c|||A,ε:=sup
α∈A
When p
00...
Reminder: Sνlocally p0-convex i p0=min 1, infαmin≤α<αmax∂+ν(α) >0. Denition For ~c ∈ Sν, α, s ∈ R, k~ckα,s :=inf n k~c0k bs p0,∞+ k ~c 00k bα ∞,∞: ~c = ~c 0+ ~c00o where k~c0k bs p0,∞ =j ∈Nsup 0 2 (s−1 p0)j 2j−1 X k=0 |cj ,k0 | p0 1/p0 , k ~c00k bα ∞,∞=sup j ∈N0 sup 0≤k≤2j−1 2αj|c00 j ,k| .
Proposition (J.M. Aubry, F. Bastin, 2010)
The topology of Sν is dened by the pseudonorms |||~c|||A,ε:=sup
α∈A
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and property Ω
Key ideas:
Denition of a set Aε0 for any ε0>0 (≡ Iε) Gives a proof for
∆ (Sν) =ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0 . If p0>0, Sν has (Ωid) (L.D., 2017).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and property Ω
Key ideas:
Denition of a set Aε0 for any ε0>0 (≡ Iε)
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
Diametral dimension and property Ω
Key ideas:
Denition of a set Aε0 for any ε0>0 (≡ Iε) Gives a proof for
∆ (Sν) =ξ ∈ CN0 : ∀s >0, ξn(n +1)−s →0 . If p0>0, Sν has (Ωid) (L.D., 2017).
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
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Diametral dimension of some pseudoconvex multiscale spaces. Studia Math., 197(1):2742, 2010.
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Topological properties of the sequence spaces Sν.
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convexes et de prévalence.
Introduction: spaces Sνand diametral dimension The concave case Local p-convexity
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