SLIDE 1 On Corson and Valdivia compact spaces* Reynaldo Rojas Hern´ andez
Centro de Ciencias Matem´ aticas Universidad Nacional Aut´
exico
SLIDE 2 Valdivia compact spaces
In this talk we deal with several classes of nonmetrizable compact spaces that correspond to well-known classes of Banach spaces with many projections. In particular, we discuss the class of Val- divia compact spaces and its subclass of Corson compact spaces. Let I = [0, 1]. Given a set A, the Σ-product of the product IA is the set ΣIA := {f ∈ IA :
Definition
◮ A set Y ⊂ X will be called a Σ-subset of X if there is an
embedding φ : X → IA, for some set A, such that Y = φ−1(φ(X) ∩ ΣIA).
◮ A compact is called Valdivia if it admits a dense Σ-subset.
SLIDE 3 Valdivia compact spaces
In this talk we deal with several classes of nonmetrizable compact spaces that correspond to well-known classes of Banach spaces with many projections. In particular, we discuss the class of Val- divia compact spaces and its subclass of Corson compact spaces. Let I = [0, 1]. Given a set A, the Σ-product of the product IA is the set ΣIA := {f ∈ IA :
Definition
◮ A set Y ⊂ X will be called a Σ-subset of X if there is an
embedding φ : X → IA, for some set A, such that Y = φ−1(φ(X) ∩ ΣIA).
◮ A compact is called Valdivia if it admits a dense Σ-subset.
SLIDE 4 Valdivia compact spaces
In this talk we deal with several classes of nonmetrizable compact spaces that correspond to well-known classes of Banach spaces with many projections. In particular, we discuss the class of Val- divia compact spaces and its subclass of Corson compact spaces. Let I = [0, 1]. Given a set A, the Σ-product of the product IA is the set ΣIA := {f ∈ IA :
Definition
◮ A set Y ⊂ X will be called a Σ-subset of X if there is an
embedding φ : X → IA, for some set A, such that Y = φ−1(φ(X) ∩ ΣIA).
◮ A compact is called Valdivia if it admits a dense Σ-subset.
SLIDE 5 Valdivia compact spaces
In this talk we deal with several classes of nonmetrizable compact spaces that correspond to well-known classes of Banach spaces with many projections. In particular, we discuss the class of Val- divia compact spaces and its subclass of Corson compact spaces. Let I = [0, 1]. Given a set A, the Σ-product of the product IA is the set ΣIA := {f ∈ IA :
Definition
◮ A set Y ⊂ X will be called a Σ-subset of X if there is an
embedding φ : X → IA, for some set A, such that Y = φ−1(φ(X) ∩ ΣIA).
◮ A compact is called Valdivia if it admits a dense Σ-subset.
SLIDE 6 Valdivia compact spaces
In this talk we deal with several classes of nonmetrizable compact spaces that correspond to well-known classes of Banach spaces with many projections. In particular, we discuss the class of Val- divia compact spaces and its subclass of Corson compact spaces. Let I = [0, 1]. Given a set A, the Σ-product of the product IA is the set ΣIA := {f ∈ IA :
Definition
◮ A set Y ⊂ X will be called a Σ-subset of X if there is an
embedding φ : X → IA, for some set A, such that Y = φ−1(φ(X) ∩ ΣIA).
◮ A compact is called Valdivia if it admits a dense Σ-subset.
SLIDE 7 Valdivia compact spaces
In this talk we deal with several classes of nonmetrizable compact spaces that correspond to well-known classes of Banach spaces with many projections. In particular, we discuss the class of Val- divia compact spaces and its subclass of Corson compact spaces. Let I = [0, 1]. Given a set A, the Σ-product of the product IA is the set ΣIA := {f ∈ IA :
Definition
◮ A set Y ⊂ X will be called a Σ-subset of X if there is an
embedding φ : X → IA, for some set A, such that Y = φ−1(φ(X) ∩ ΣIA).
◮ A compact is called Valdivia if it admits a dense Σ-subset.
SLIDE 8 The r-skeletons
Kubi´ s and Michalewski investigated a σ-complete inverse system whose bonding mappings are retractions and use it to obtain a characterization of Valdivia compact spaces. From now on, Γ will denote an up-directed σ-complete partially
Definition (Kubi´ s and Michalewski, 2006) An r-skeleton in a space X is a family {rs : s ∈ Γ} of retractions
(i) rs(X) is cosmic for each s ∈ Γ. (ii) rs = rs ◦ rt = rt ◦ rs whenever s ≤ t. (iii) If s ∈ Γ and s = supn∈N sn ↑, then rs = limn→∞ rsn. (iv) x = lims∈Γ rs(x) for every x ∈ X.
SLIDE 9 The r-skeletons
Kubi´ s and Michalewski investigated a σ-complete inverse system whose bonding mappings are retractions and use it to obtain a characterization of Valdivia compact spaces. From now on, Γ will denote an up-directed σ-complete partially
Definition (Kubi´ s and Michalewski, 2006) An r-skeleton in a space X is a family {rs : s ∈ Γ} of retractions
(i) rs(X) is cosmic for each s ∈ Γ. (ii) rs = rs ◦ rt = rt ◦ rs whenever s ≤ t. (iii) If s ∈ Γ and s = supn∈N sn ↑, then rs = limn→∞ rsn. (iv) x = lims∈Γ rs(x) for every x ∈ X.
SLIDE 10 The r-skeletons
Kubi´ s and Michalewski investigated a σ-complete inverse system whose bonding mappings are retractions and use it to obtain a characterization of Valdivia compact spaces. From now on, Γ will denote an up-directed σ-complete partially
Definition (Kubi´ s and Michalewski, 2006) An r-skeleton in a space X is a family {rs : s ∈ Γ} of retractions
(i) rs(X) is cosmic for each s ∈ Γ. (ii) rs = rs ◦ rt = rt ◦ rs whenever s ≤ t. (iii) If s ∈ Γ and s = supn∈N sn ↑, then rs = limn→∞ rsn. (iv) x = lims∈Γ rs(x) for every x ∈ X.
SLIDE 11 The r-skeletons
Kubi´ s and Michalewski investigated a σ-complete inverse system whose bonding mappings are retractions and use it to obtain a characterization of Valdivia compact spaces. From now on, Γ will denote an up-directed σ-complete partially
Definition (Kubi´ s and Michalewski, 2006) An r-skeleton in a space X is a family {rs : s ∈ Γ} of retractions
(i) rs(X) is cosmic for each s ∈ Γ. (ii) rs = rs ◦ rt = rt ◦ rs whenever s ≤ t. (iii) If s ∈ Γ and s = supn∈N sn ↑, then rs = limn→∞ rsn. (iv) x = lims∈Γ rs(x) for every x ∈ X.
SLIDE 12 The r-skeletons
Kubi´ s and Michalewski investigated a σ-complete inverse system whose bonding mappings are retractions and use it to obtain a characterization of Valdivia compact spaces. From now on, Γ will denote an up-directed σ-complete partially
Definition (Kubi´ s and Michalewski, 2006) An r-skeleton in a space X is a family {rs : s ∈ Γ} of retractions
(i) rs(X) is cosmic for each s ∈ Γ. (ii) rs = rs ◦ rt = rt ◦ rs whenever s ≤ t. (iii) If s ∈ Γ and s = supn∈N sn ↑, then rs = limn→∞ rsn. (iv) x = lims∈Γ rs(x) for every x ∈ X.
SLIDE 13 The r-skeletons
Kubi´ s and Michalewski investigated a σ-complete inverse system whose bonding mappings are retractions and use it to obtain a characterization of Valdivia compact spaces. From now on, Γ will denote an up-directed σ-complete partially
Definition (Kubi´ s and Michalewski, 2006) An r-skeleton in a space X is a family {rs : s ∈ Γ} of retractions
(i) rs(X) is cosmic for each s ∈ Γ. (ii) rs = rs ◦ rt = rt ◦ rs whenever s ≤ t. (iii) If s ∈ Γ and s = supn∈N sn ↑, then rs = limn→∞ rsn. (iv) x = lims∈Γ rs(x) for every x ∈ X.
SLIDE 14 The r-skeletons
Kubi´ s and Michalewski investigated a σ-complete inverse system whose bonding mappings are retractions and use it to obtain a characterization of Valdivia compact spaces. From now on, Γ will denote an up-directed σ-complete partially
Definition (Kubi´ s and Michalewski, 2006) An r-skeleton in a space X is a family {rs : s ∈ Γ} of retractions
(i) rs(X) is cosmic for each s ∈ Γ. (ii) rs = rs ◦ rt = rt ◦ rs whenever s ≤ t. (iii) If s ∈ Γ and s = supn∈N sn ↑, then rs = limn→∞ rsn. (iv) x = lims∈Γ rs(x) for every x ∈ X.
SLIDE 15 The r-skeletons
Kubi´ s and Michalewski investigated a σ-complete inverse system whose bonding mappings are retractions and use it to obtain a characterization of Valdivia compact spaces. From now on, Γ will denote an up-directed σ-complete partially
Definition (Kubi´ s and Michalewski, 2006) An r-skeleton in a space X is a family {rs : s ∈ Γ} of retractions
(i) rs(X) is cosmic for each s ∈ Γ. (ii) rs = rs ◦ rt = rt ◦ rs whenever s ≤ t. (iii) If s ∈ Γ and s = supn∈N sn ↑, then rs = limn→∞ rsn. (iv) x = lims∈Γ rs(x) for every x ∈ X.
SLIDE 16 The r-skeletons
Kubi´ s and Michalewski investigated a σ-complete inverse system whose bonding mappings are retractions and use it to obtain a characterization of Valdivia compact spaces. From now on, Γ will denote an up-directed σ-complete partially
Definition (Kubi´ s and Michalewski, 2006) An r-skeleton in a space X is a family {rs : s ∈ Γ} of retractions
(i) rs(X) is cosmic for each s ∈ Γ. (ii) rs = rs ◦ rt = rt ◦ rs whenever s ≤ t. (iii) If s ∈ Γ and s = supn∈N sn ↑, then rs = limn→∞ rsn. (iv) x = lims∈Γ rs(x) for every x ∈ X.
SLIDE 17 A characterization of Valdivia compacta
An r-skeleton {rs : s ∈ Γ} on X is commutative if rs◦rt = rt◦rs for every s, t ∈ Γ. Theorem (Kubi´ s and Michalewski, 2006) A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. This characterization was used to prove that a compact space
- f weight ω1 is Valdivia compact iff it is the limit of an inverse
sequence of metric compacta whose bonding maps are retractions. As a corollary, it was proved that the class of Valdivia compacta
- f weight ω1 is preserved both under retractions and under open
0-dimensional images. Theorem (Chigogidze, 2008) Let X be a compact group. Then X is a Valdivia compact iff X is homeomorphic to a product of metrizable compacta.
SLIDE 18 A characterization of Valdivia compacta
An r-skeleton {rs : s ∈ Γ} on X is commutative if rs◦rt = rt◦rs for every s, t ∈ Γ. Theorem (Kubi´ s and Michalewski, 2006) A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. This characterization was used to prove that a compact space
- f weight ω1 is Valdivia compact iff it is the limit of an inverse
sequence of metric compacta whose bonding maps are retractions. As a corollary, it was proved that the class of Valdivia compacta
- f weight ω1 is preserved both under retractions and under open
0-dimensional images. Theorem (Chigogidze, 2008) Let X be a compact group. Then X is a Valdivia compact iff X is homeomorphic to a product of metrizable compacta.
SLIDE 19 A characterization of Valdivia compacta
An r-skeleton {rs : s ∈ Γ} on X is commutative if rs◦rt = rt◦rs for every s, t ∈ Γ. Theorem (Kubi´ s and Michalewski, 2006) A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. This characterization was used to prove that a compact space
- f weight ω1 is Valdivia compact iff it is the limit of an inverse
sequence of metric compacta whose bonding maps are retractions. As a corollary, it was proved that the class of Valdivia compacta
- f weight ω1 is preserved both under retractions and under open
0-dimensional images. Theorem (Chigogidze, 2008) Let X be a compact group. Then X is a Valdivia compact iff X is homeomorphic to a product of metrizable compacta.
SLIDE 20 A characterization of Valdivia compacta
An r-skeleton {rs : s ∈ Γ} on X is commutative if rs◦rt = rt◦rs for every s, t ∈ Γ. Theorem (Kubi´ s and Michalewski, 2006) A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. This characterization was used to prove that a compact space
- f weight ω1 is Valdivia compact iff it is the limit of an inverse
sequence of metric compacta whose bonding maps are retractions. As a corollary, it was proved that the class of Valdivia compacta
- f weight ω1 is preserved both under retractions and under open
0-dimensional images. Theorem (Chigogidze, 2008) Let X be a compact group. Then X is a Valdivia compact iff X is homeomorphic to a product of metrizable compacta.
SLIDE 21 A characterization of Valdivia compacta
An r-skeleton {rs : s ∈ Γ} on X is commutative if rs◦rt = rt◦rs for every s, t ∈ Γ. Theorem (Kubi´ s and Michalewski, 2006) A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. This characterization was used to prove that a compact space
- f weight ω1 is Valdivia compact iff it is the limit of an inverse
sequence of metric compacta whose bonding maps are retractions. As a corollary, it was proved that the class of Valdivia compacta
- f weight ω1 is preserved both under retractions and under open
0-dimensional images. Theorem (Chigogidze, 2008) Let X be a compact group. Then X is a Valdivia compact iff X is homeomorphic to a product of metrizable compacta.
SLIDE 22 A characterization of Valdivia compacta
An r-skeleton {rs : s ∈ Γ} on X is commutative if rs◦rt = rt◦rs for every s, t ∈ Γ. Theorem (Kubi´ s and Michalewski, 2006) A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. This characterization was used to prove that a compact space
- f weight ω1 is Valdivia compact iff it is the limit of an inverse
sequence of metric compacta whose bonding maps are retractions. As a corollary, it was proved that the class of Valdivia compacta
- f weight ω1 is preserved both under retractions and under open
0-dimensional images. Theorem (Chigogidze, 2008) Let X be a compact group. Then X is a Valdivia compact iff X is homeomorphic to a product of metrizable compacta.
SLIDE 23
Characterizations of Corson compacta
An r-skeleton {rs : s ∈ Γ} on X is full if X = {rs(X) : s ∈ Γ}. Theorem (C´ uth, 2014) A compact space X is Corson if and only if admits a full r- skeleton. Theorem (Bandlow, 1991) Let K be a compact space. Then K is Corson iff, for every large enough cardinal θ, there exists a closed and unbounded family C ⊂ [H(θ)]≤ω of elementary substructures (H(θ), ∈) such that for each M ∈ C the quotient map ∆(C(X) ∩ M) : K → RC(X)∩M is one-to-one on K ∩ M. It is natural to try to get a proof of the characterization of Val- divia compact spaces by using Bandlow’s ideas.
SLIDE 24
Characterizations of Corson compacta
An r-skeleton {rs : s ∈ Γ} on X is full if X = {rs(X) : s ∈ Γ}. Theorem (C´ uth, 2014) A compact space X is Corson if and only if admits a full r- skeleton. Theorem (Bandlow, 1991) Let K be a compact space. Then K is Corson iff, for every large enough cardinal θ, there exists a closed and unbounded family C ⊂ [H(θ)]≤ω of elementary substructures (H(θ), ∈) such that for each M ∈ C the quotient map ∆(C(X) ∩ M) : K → RC(X)∩M is one-to-one on K ∩ M. It is natural to try to get a proof of the characterization of Val- divia compact spaces by using Bandlow’s ideas.
SLIDE 25
Characterizations of Corson compacta
An r-skeleton {rs : s ∈ Γ} on X is full if X = {rs(X) : s ∈ Γ}. Theorem (C´ uth, 2014) A compact space X is Corson if and only if admits a full r- skeleton. Theorem (Bandlow, 1991) Let K be a compact space. Then K is Corson iff, for every large enough cardinal θ, there exists a closed and unbounded family C ⊂ [H(θ)]≤ω of elementary substructures (H(θ), ∈) such that for each M ∈ C the quotient map ∆(C(X) ∩ M) : K → RC(X)∩M is one-to-one on K ∩ M. It is natural to try to get a proof of the characterization of Val- divia compact spaces by using Bandlow’s ideas.
SLIDE 26
Characterizations of Corson compacta
An r-skeleton {rs : s ∈ Γ} on X is full if X = {rs(X) : s ∈ Γ}. Theorem (C´ uth, 2014) A compact space X is Corson if and only if admits a full r- skeleton. Theorem (Bandlow, 1991) Let K be a compact space. Then K is Corson iff, for every large enough cardinal θ, there exists a closed and unbounded family C ⊂ [H(θ)]≤ω of elementary substructures (H(θ), ∈) such that for each M ∈ C the quotient map ∆(C(X) ∩ M) : K → RC(X)∩M is one-to-one on K ∩ M. It is natural to try to get a proof of the characterization of Val- divia compact spaces by using Bandlow’s ideas.
SLIDE 27
Characterizations of Corson compacta
An r-skeleton {rs : s ∈ Γ} on X is full if X = {rs(X) : s ∈ Γ}. Theorem (C´ uth, 2014) A compact space X is Corson if and only if admits a full r- skeleton. Theorem (Bandlow, 1991) Let K be a compact space. Then K is Corson iff, for every large enough cardinal θ, there exists a closed and unbounded family C ⊂ [H(θ)]≤ω of elementary substructures (H(θ), ∈) such that for each M ∈ C the quotient map ∆(C(X) ∩ M) : K → RC(X)∩M is one-to-one on K ∩ M. It is natural to try to get a proof of the characterization of Val- divia compact spaces by using Bandlow’s ideas.
SLIDE 28
Characterizations of Corson compacta
An r-skeleton {rs : s ∈ Γ} on X is full if X = {rs(X) : s ∈ Γ}. Theorem (C´ uth, 2014) A compact space X is Corson if and only if admits a full r- skeleton. Theorem (Bandlow, 1991) Let K be a compact space. Then K is Corson iff, for every large enough cardinal θ, there exists a closed and unbounded family C ⊂ [H(θ)]≤ω of elementary substructures (H(θ), ∈) such that for each M ∈ C the quotient map ∆(C(X) ∩ M) : K → RC(X)∩M is one-to-one on K ∩ M. It is natural to try to get a proof of the characterization of Val- divia compact spaces by using Bandlow’s ideas.
SLIDE 29 Some technical lemmas
The r-skeletons in compact and countably compact spaces have several nice properties. Lemma Let X be a countably compact space X. If {rs : s ∈ Γ} is a family
- f retractions in a X satisfying (i) - (iii) from the definition of
r-skeleton. If Y = {rs(X) : s ∈ Γ}, then
◮ t(Y ) ≤ ω. ◮ x = lims∈Γ rs(x) for each x ∈ Y .
Lemma Let X be a compact space and let F be closed in X. Suppose that {rs : s ∈ Γ} is a family of retractions from X into F such that {rs ↾F : s ∈ Γ} is an r-skeleton on F. If R = ∆{rs ↾F : s ∈ Γ}, then R ↾F : F → R(X) is a homeomorphism.
SLIDE 30 Some technical lemmas
The r-skeletons in compact and countably compact spaces have several nice properties. Lemma Let X be a countably compact space X. If {rs : s ∈ Γ} is a family
- f retractions in a X satisfying (i) - (iii) from the definition of
r-skeleton. If Y = {rs(X) : s ∈ Γ}, then
◮ t(Y ) ≤ ω. ◮ x = lims∈Γ rs(x) for each x ∈ Y .
Lemma Let X be a compact space and let F be closed in X. Suppose that {rs : s ∈ Γ} is a family of retractions from X into F such that {rs ↾F : s ∈ Γ} is an r-skeleton on F. If R = ∆{rs ↾F : s ∈ Γ}, then R ↾F : F → R(X) is a homeomorphism.
SLIDE 31 Some technical lemmas
The r-skeletons in compact and countably compact spaces have several nice properties. Lemma Let X be a countably compact space X. If {rs : s ∈ Γ} is a family
- f retractions in a X satisfying (i) - (iii) from the definition of
r-skeleton. If Y = {rs(X) : s ∈ Γ}, then
◮ t(Y ) ≤ ω. ◮ x = lims∈Γ rs(x) for each x ∈ Y .
Lemma Let X be a compact space and let F be closed in X. Suppose that {rs : s ∈ Γ} is a family of retractions from X into F such that {rs ↾F : s ∈ Γ} is an r-skeleton on F. If R = ∆{rs ↾F : s ∈ Γ}, then R ↾F : F → R(X) is a homeomorphism.
SLIDE 32 Some technical lemmas
The r-skeletons in compact and countably compact spaces have several nice properties. Lemma Let X be a countably compact space X. If {rs : s ∈ Γ} is a family
- f retractions in a X satisfying (i) - (iii) from the definition of
r-skeleton. If Y = {rs(X) : s ∈ Γ}, then
◮ t(Y ) ≤ ω. ◮ x = lims∈Γ rs(x) for each x ∈ Y .
Lemma Let X be a compact space and let F be closed in X. Suppose that {rs : s ∈ Γ} is a family of retractions from X into F such that {rs ↾F : s ∈ Γ} is an r-skeleton on F. If R = ∆{rs ↾F : s ∈ Γ}, then R ↾F : F → R(X) is a homeomorphism.
SLIDE 33 Some technical lemmas
The r-skeletons in compact and countably compact spaces have several nice properties. Lemma Let X be a countably compact space X. If {rs : s ∈ Γ} is a family
- f retractions in a X satisfying (i) - (iii) from the definition of
r-skeleton. If Y = {rs(X) : s ∈ Γ}, then
◮ t(Y ) ≤ ω. ◮ x = lims∈Γ rs(x) for each x ∈ Y .
Lemma Let X be a compact space and let F be closed in X. Suppose that {rs : s ∈ Γ} is a family of retractions from X into F such that {rs ↾F : s ∈ Γ} is an r-skeleton on F. If R = ∆{rs ↾F : s ∈ Γ}, then R ↾F : F → R(X) is a homeomorphism.
SLIDE 34 Some technical lemmas
The r-skeletons in compact and countably compact spaces have several nice properties. Lemma Let X be a countably compact space X. If {rs : s ∈ Γ} is a family
- f retractions in a X satisfying (i) - (iii) from the definition of
r-skeleton. If Y = {rs(X) : s ∈ Γ}, then
◮ t(Y ) ≤ ω. ◮ x = lims∈Γ rs(x) for each x ∈ Y .
Lemma Let X be a compact space and let F be closed in X. Suppose that {rs : s ∈ Γ} is a family of retractions from X into F such that {rs ↾F : s ∈ Γ} is an r-skeleton on F. If R = ∆{rs ↾F : s ∈ Γ}, then R ↾F : F → R(X) is a homeomorphism.
SLIDE 35 Some technical lemmas
The r-skeletons in compact and countably compact spaces have several nice properties. Lemma Let X be a countably compact space X. If {rs : s ∈ Γ} is a family
- f retractions in a X satisfying (i) - (iii) from the definition of
r-skeleton. If Y = {rs(X) : s ∈ Γ}, then
◮ t(Y ) ≤ ω. ◮ x = lims∈Γ rs(x) for each x ∈ Y .
Lemma Let X be a compact space and let F be closed in X. Suppose that {rs : s ∈ Γ} is a family of retractions from X into F such that {rs ↾F : s ∈ Γ} is an r-skeleton on F. If R = ∆{rs ↾F : s ∈ Γ}, then R ↾F : F → R(X) is a homeomorphism.
SLIDE 36 Some technical lemmas
Lemma Let X be compact and let Y be induced by a commutative r-
- skeleton. Then there exists a family {rA : A ∈ P(Y )} of retrac-
tions on X such that, if XA = rA(X) then: (i) The family {rB : B ∈ [Y ]≤ω} is a commutative r-skeleton
(ii) A ⊂ XA and d(XA) ≤ |A|. (iii) rB ◦ rA = rA ◦ rB = rB whenever B ⊂ A. (iv) If A =
α<λ Aα ↑∈ P(Y ) then rA = lim rAα.
(v) rA(Y ) ⊂ Y . To prove that result we get an r-skeleton {rA : A ∈ [Y ]≤ω} satisfying (ii) and use the previous two Lemmas.
SLIDE 37 Some technical lemmas
Lemma Let X be compact and let Y be induced by a commutative r-
- skeleton. Then there exists a family {rA : A ∈ P(Y )} of retrac-
tions on X such that, if XA = rA(X) then: (i) The family {rB : B ∈ [Y ]≤ω} is a commutative r-skeleton
(ii) A ⊂ XA and d(XA) ≤ |A|. (iii) rB ◦ rA = rA ◦ rB = rB whenever B ⊂ A. (iv) If A =
α<λ Aα ↑∈ P(Y ) then rA = lim rAα.
(v) rA(Y ) ⊂ Y . To prove that result we get an r-skeleton {rA : A ∈ [Y ]≤ω} satisfying (ii) and use the previous two Lemmas.
SLIDE 38 Some technical lemmas
Lemma Let X be compact and let Y be induced by a commutative r-
- skeleton. Then there exists a family {rA : A ∈ P(Y )} of retrac-
tions on X such that, if XA = rA(X) then: (i) The family {rB : B ∈ [Y ]≤ω} is a commutative r-skeleton
(ii) A ⊂ XA and d(XA) ≤ |A|. (iii) rB ◦ rA = rA ◦ rB = rB whenever B ⊂ A. (iv) If A =
α<λ Aα ↑∈ P(Y ) then rA = lim rAα.
(v) rA(Y ) ⊂ Y . To prove that result we get an r-skeleton {rA : A ∈ [Y ]≤ω} satisfying (ii) and use the previous two Lemmas.
SLIDE 39 Some technical lemmas
Lemma Let X be compact and let Y be induced by a commutative r-
- skeleton. Then there exists a family {rA : A ∈ P(Y )} of retrac-
tions on X such that, if XA = rA(X) then: (i) The family {rB : B ∈ [Y ]≤ω} is a commutative r-skeleton
(ii) A ⊂ XA and d(XA) ≤ |A|. (iii) rB ◦ rA = rA ◦ rB = rB whenever B ⊂ A. (iv) If A =
α<λ Aα ↑∈ P(Y ) then rA = lim rAα.
(v) rA(Y ) ⊂ Y . To prove that result we get an r-skeleton {rA : A ∈ [Y ]≤ω} satisfying (ii) and use the previous two Lemmas.
SLIDE 40 Some technical lemmas
Lemma Let X be compact and let Y be induced by a commutative r-
- skeleton. Then there exists a family {rA : A ∈ P(Y )} of retrac-
tions on X such that, if XA = rA(X) then: (i) The family {rB : B ∈ [Y ]≤ω} is a commutative r-skeleton
(ii) A ⊂ XA and d(XA) ≤ |A|. (iii) rB ◦ rA = rA ◦ rB = rB whenever B ⊂ A. (iv) If A =
α<λ Aα ↑∈ P(Y ) then rA = lim rAα.
(v) rA(Y ) ⊂ Y . To prove that result we get an r-skeleton {rA : A ∈ [Y ]≤ω} satisfying (ii) and use the previous two Lemmas.
SLIDE 41 Some technical lemmas
Lemma Let X be compact and let Y be induced by a commutative r-
- skeleton. Then there exists a family {rA : A ∈ P(Y )} of retrac-
tions on X such that, if XA = rA(X) then: (i) The family {rB : B ∈ [Y ]≤ω} is a commutative r-skeleton
(ii) A ⊂ XA and d(XA) ≤ |A|. (iii) rB ◦ rA = rA ◦ rB = rB whenever B ⊂ A. (iv) If A =
α<λ Aα ↑∈ P(Y ) then rA = lim rAα.
(v) rA(Y ) ⊂ Y . To prove that result we get an r-skeleton {rA : A ∈ [Y ]≤ω} satisfying (ii) and use the previous two Lemmas.
SLIDE 42 Some technical lemmas
Lemma Let X be compact and let Y be induced by a commutative r-
- skeleton. Then there exists a family {rA : A ∈ P(Y )} of retrac-
tions on X such that, if XA = rA(X) then: (i) The family {rB : B ∈ [Y ]≤ω} is a commutative r-skeleton
(ii) A ⊂ XA and d(XA) ≤ |A|. (iii) rB ◦ rA = rA ◦ rB = rB whenever B ⊂ A. (iv) If A =
α<λ Aα ↑∈ P(Y ) then rA = lim rAα.
(v) rA(Y ) ⊂ Y . To prove that result we get an r-skeleton {rA : A ∈ [Y ]≤ω} satisfying (ii) and use the previous two Lemmas.
SLIDE 43 Some technical lemmas
Lemma Let X be compact and let Y be induced by a commutative r-
- skeleton. Then there exists a family {rA : A ∈ P(Y )} of retrac-
tions on X such that, if XA = rA(X) then: (i) The family {rB : B ∈ [Y ]≤ω} is a commutative r-skeleton
(ii) A ⊂ XA and d(XA) ≤ |A|. (iii) rB ◦ rA = rA ◦ rB = rB whenever B ⊂ A. (iv) If A =
α<λ Aα ↑∈ P(Y ) then rA = lim rAα.
(v) rA(Y ) ⊂ Y . To prove that result we get an r-skeleton {rA : A ∈ [Y ]≤ω} satisfying (ii) and use the previous two Lemmas.
SLIDE 44 Some technical lemmas
Lemma Let X be compact and let Y be induced by a commutative r-
- skeleton. Then there exists a family {rA : A ∈ P(Y )} of retrac-
tions on X such that, if XA = rA(X) then: (i) The family {rB : B ∈ [Y ]≤ω} is a commutative r-skeleton
(ii) A ⊂ XA and d(XA) ≤ |A|. (iii) rB ◦ rA = rA ◦ rB = rB whenever B ⊂ A. (iv) If A =
α<λ Aα ↑∈ P(Y ) then rA = lim rAα.
(v) rA(Y ) ⊂ Y . To prove that result we get an r-skeleton {rA : A ∈ [Y ]≤ω} satisfying (ii) and use the previous two Lemmas.
SLIDE 45 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 46 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 47 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 48 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 49 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 50 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 51 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 52 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 53 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 54 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 55 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 56 Theorem Let Y be a dense subspace of a compact space X. If Y is induced by a commutative r-skeleton in X, then Y is a Σ-subset of X.
- Proof. By induction on the density of Y . Assume that d(Y ) =
κ > ω and the result holds for spaces of density at most κ. Choose a family {rA : A ∈ P(X)} of retractions in X as in the last Lemma. Let {yα : α < κ} be a dense subspace of Y . For each α ≤ κ, set Aα = {xβ : β < α}, rα = rAα and Xα = rα(X). Given α < κ we can find a set Tα and an embedding φα : Xα → RTα such that Y ∩ Xα = φ−1
α (ΣRTα). Let T = {Tα : α < κ}. Define
φ : X → RT as follows: If x ∈ X and α < κ, we set φ(x)(α) =
- φα+1(rα+1(x)) − φα+1(rα(x))
if α > 0; φ0(r0(x)) if α = 0. Then φ is an embedding and Y = φ−1(ΣRT ).
SLIDE 57
Some consequences
Corollary A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. It happens that the proof also works for the case of Corson com- pact spaces. Corollary A compact space X is Corson iff and only if admits a full r- skeleton. Corollary If a countably compact space, X has a full r-skeleton and has weight at most ω1, then X can be embedded in a ΣRω1.
SLIDE 58
Some consequences
Corollary A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. It happens that the proof also works for the case of Corson com- pact spaces. Corollary A compact space X is Corson iff and only if admits a full r- skeleton. Corollary If a countably compact space, X has a full r-skeleton and has weight at most ω1, then X can be embedded in a ΣRω1.
SLIDE 59
Some consequences
Corollary A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. It happens that the proof also works for the case of Corson com- pact spaces. Corollary A compact space X is Corson iff and only if admits a full r- skeleton. Corollary If a countably compact space, X has a full r-skeleton and has weight at most ω1, then X can be embedded in a ΣRω1.
SLIDE 60
Some consequences
Corollary A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. It happens that the proof also works for the case of Corson com- pact spaces. Corollary A compact space X is Corson iff and only if admits a full r- skeleton. Corollary If a countably compact space, X has a full r-skeleton and has weight at most ω1, then X can be embedded in a ΣRω1.
SLIDE 61
Some consequences
Corollary A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. It happens that the proof also works for the case of Corson com- pact spaces. Corollary A compact space X is Corson iff and only if admits a full r- skeleton. Corollary If a countably compact space, X has a full r-skeleton and has weight at most ω1, then X can be embedded in a ΣRω1.
SLIDE 62
Some consequences
Corollary A compact space X is Valdivia if and only if admits a commuta- tive r-skeleton. It happens that the proof also works for the case of Corson com- pact spaces. Corollary A compact space X is Corson iff and only if admits a full r- skeleton. Corollary If a countably compact space, X has a full r-skeleton and has weight at most ω1, then X can be embedded in a ΣRω1.
SLIDE 63
Corson compacta and monotone functions
Recall that a Cp(X) denotes the space of all real-valued con- tinuous functions over a space X in the pointwise convergence topology. Bandlow uses his result to obtain a characterization of the space Cp(X) for a Corson compact space X. It is natural to ask if there exists a similar characterization in the context of r-skeletons. The next technical notion sometimes result useful. Definition A map φ : Γ → [Y ]≤ω is called ω-monotone provided that: (a) if s, t ∈ Γ and s ≤ t, then φ(s) ⊆ φ(t). (b) if s = supn∈N sn ↑∈ Γ, then φ(s) =
n∈N φ(sn).
SLIDE 64
Corson compacta and monotone functions
Recall that a Cp(X) denotes the space of all real-valued con- tinuous functions over a space X in the pointwise convergence topology. Bandlow uses his result to obtain a characterization of the space Cp(X) for a Corson compact space X. It is natural to ask if there exists a similar characterization in the context of r-skeletons. The next technical notion sometimes result useful. Definition A map φ : Γ → [Y ]≤ω is called ω-monotone provided that: (a) if s, t ∈ Γ and s ≤ t, then φ(s) ⊆ φ(t). (b) if s = supn∈N sn ↑∈ Γ, then φ(s) =
n∈N φ(sn).
SLIDE 65
Corson compacta and monotone functions
Recall that a Cp(X) denotes the space of all real-valued con- tinuous functions over a space X in the pointwise convergence topology. Bandlow uses his result to obtain a characterization of the space Cp(X) for a Corson compact space X. It is natural to ask if there exists a similar characterization in the context of r-skeletons. The next technical notion sometimes result useful. Definition A map φ : Γ → [Y ]≤ω is called ω-monotone provided that: (a) if s, t ∈ Γ and s ≤ t, then φ(s) ⊆ φ(t). (b) if s = supn∈N sn ↑∈ Γ, then φ(s) =
n∈N φ(sn).
SLIDE 66
Corson compacta and monotone functions
Recall that a Cp(X) denotes the space of all real-valued con- tinuous functions over a space X in the pointwise convergence topology. Bandlow uses his result to obtain a characterization of the space Cp(X) for a Corson compact space X. It is natural to ask if there exists a similar characterization in the context of r-skeletons. The next technical notion sometimes result useful. Definition A map φ : Γ → [Y ]≤ω is called ω-monotone provided that: (a) if s, t ∈ Γ and s ≤ t, then φ(s) ⊆ φ(t). (b) if s = supn∈N sn ↑∈ Γ, then φ(s) =
n∈N φ(sn).
SLIDE 67
Corson compacta and monotone functions
Recall that a Cp(X) denotes the space of all real-valued con- tinuous functions over a space X in the pointwise convergence topology. Bandlow uses his result to obtain a characterization of the space Cp(X) for a Corson compact space X. It is natural to ask if there exists a similar characterization in the context of r-skeletons. The next technical notion sometimes result useful. Definition A map φ : Γ → [Y ]≤ω is called ω-monotone provided that: (a) if s, t ∈ Γ and s ≤ t, then φ(s) ⊆ φ(t). (b) if s = supn∈N sn ↑∈ Γ, then φ(s) =
n∈N φ(sn).
SLIDE 68
Corson compacta and monotone functions
Recall that a Cp(X) denotes the space of all real-valued con- tinuous functions over a space X in the pointwise convergence topology. Bandlow uses his result to obtain a characterization of the space Cp(X) for a Corson compact space X. It is natural to ask if there exists a similar characterization in the context of r-skeletons. The next technical notion sometimes result useful. Definition A map φ : Γ → [Y ]≤ω is called ω-monotone provided that: (a) if s, t ∈ Γ and s ≤ t, then φ(s) ⊆ φ(t). (b) if s = supn∈N sn ↑∈ Γ, then φ(s) =
n∈N φ(sn).
SLIDE 69
Corson compacta and monotone functions
Recall that a Cp(X) denotes the space of all real-valued con- tinuous functions over a space X in the pointwise convergence topology. Bandlow uses his result to obtain a characterization of the space Cp(X) for a Corson compact space X. It is natural to ask if there exists a similar characterization in the context of r-skeletons. The next technical notion sometimes result useful. Definition A map φ : Γ → [Y ]≤ω is called ω-monotone provided that: (a) if s, t ∈ Γ and s ≤ t, then φ(s) ⊆ φ(t). (b) if s = supn∈N sn ↑∈ Γ, then φ(s) =
n∈N φ(sn).
SLIDE 70
Corson compacta and monotone functions
Recall that a Cp(X) denotes the space of all real-valued con- tinuous functions over a space X in the pointwise convergence topology. Bandlow uses his result to obtain a characterization of the space Cp(X) for a Corson compact space X. It is natural to ask if there exists a similar characterization in the context of r-skeletons. The next technical notion sometimes result useful. Definition A map φ : Γ → [Y ]≤ω is called ω-monotone provided that: (a) if s, t ∈ Γ and s ≤ t, then φ(s) ⊆ φ(t). (b) if s = supn∈N sn ↑∈ Γ, then φ(s) =
n∈N φ(sn).
SLIDE 71
The q-skeletons
It seems to be that the following notion is the right. Definition A q-skeleton on X is a family of pairs {(qs, Ds) : s ∈ Γ}, where qs : X → Xs is an R-quotient map and Ds ∈ [X]≤ω for each s ∈ Γ, such that: (i) The set qs(Ds) is dense in Xs. (ii) If s, t ∈ Γ and s ≤ t, then there exists a continuous onto map pt,s : Xt → Xs such that qs = pt,s ◦ qt. (iii) The assignment s → Ds is ω-monotone. If in addition Cp(X) =
s∈Γ q∗ s(Cp(Xs)), then we say that the
q-skeleton is full.
SLIDE 72
The q-skeletons
It seems to be that the following notion is the right. Definition A q-skeleton on X is a family of pairs {(qs, Ds) : s ∈ Γ}, where qs : X → Xs is an R-quotient map and Ds ∈ [X]≤ω for each s ∈ Γ, such that: (i) The set qs(Ds) is dense in Xs. (ii) If s, t ∈ Γ and s ≤ t, then there exists a continuous onto map pt,s : Xt → Xs such that qs = pt,s ◦ qt. (iii) The assignment s → Ds is ω-monotone. If in addition Cp(X) =
s∈Γ q∗ s(Cp(Xs)), then we say that the
q-skeleton is full.
SLIDE 73
The q-skeletons
It seems to be that the following notion is the right. Definition A q-skeleton on X is a family of pairs {(qs, Ds) : s ∈ Γ}, where qs : X → Xs is an R-quotient map and Ds ∈ [X]≤ω for each s ∈ Γ, such that: (i) The set qs(Ds) is dense in Xs. (ii) If s, t ∈ Γ and s ≤ t, then there exists a continuous onto map pt,s : Xt → Xs such that qs = pt,s ◦ qt. (iii) The assignment s → Ds is ω-monotone. If in addition Cp(X) =
s∈Γ q∗ s(Cp(Xs)), then we say that the
q-skeleton is full.
SLIDE 74
The q-skeletons
It seems to be that the following notion is the right. Definition A q-skeleton on X is a family of pairs {(qs, Ds) : s ∈ Γ}, where qs : X → Xs is an R-quotient map and Ds ∈ [X]≤ω for each s ∈ Γ, such that: (i) The set qs(Ds) is dense in Xs. (ii) If s, t ∈ Γ and s ≤ t, then there exists a continuous onto map pt,s : Xt → Xs such that qs = pt,s ◦ qt. (iii) The assignment s → Ds is ω-monotone. If in addition Cp(X) =
s∈Γ q∗ s(Cp(Xs)), then we say that the
q-skeleton is full.
SLIDE 75
The q-skeletons
It seems to be that the following notion is the right. Definition A q-skeleton on X is a family of pairs {(qs, Ds) : s ∈ Γ}, where qs : X → Xs is an R-quotient map and Ds ∈ [X]≤ω for each s ∈ Γ, such that: (i) The set qs(Ds) is dense in Xs. (ii) If s, t ∈ Γ and s ≤ t, then there exists a continuous onto map pt,s : Xt → Xs such that qs = pt,s ◦ qt. (iii) The assignment s → Ds is ω-monotone. If in addition Cp(X) =
s∈Γ q∗ s(Cp(Xs)), then we say that the
q-skeleton is full.
SLIDE 76
The q-skeletons
It seems to be that the following notion is the right. Definition A q-skeleton on X is a family of pairs {(qs, Ds) : s ∈ Γ}, where qs : X → Xs is an R-quotient map and Ds ∈ [X]≤ω for each s ∈ Γ, such that: (i) The set qs(Ds) is dense in Xs. (ii) If s, t ∈ Γ and s ≤ t, then there exists a continuous onto map pt,s : Xt → Xs such that qs = pt,s ◦ qt. (iii) The assignment s → Ds is ω-monotone. If in addition Cp(X) =
s∈Γ q∗ s(Cp(Xs)), then we say that the
q-skeleton is full.
SLIDE 77
The q-skeletons
It seems to be that the following notion is the right. Definition A q-skeleton on X is a family of pairs {(qs, Ds) : s ∈ Γ}, where qs : X → Xs is an R-quotient map and Ds ∈ [X]≤ω for each s ∈ Γ, such that: (i) The set qs(Ds) is dense in Xs. (ii) If s, t ∈ Γ and s ≤ t, then there exists a continuous onto map pt,s : Xt → Xs such that qs = pt,s ◦ qt. (iii) The assignment s → Ds is ω-monotone. If in addition Cp(X) =
s∈Γ q∗ s(Cp(Xs)), then we say that the
q-skeleton is full.
SLIDE 78 Some properties of q-skeletons
Theorem If X has a full q-skeleton, then every countably compact subspace
- f Cp(X) has a full r-skeleton. In particular, every compact sub-
space of Cp(X) is Corson. Theorem If X is monotonically ω-stable, then X has a full q-skeleton. In particular, whenever X is either Lindel¨
Theorem If K is compact and X is a closed subspace of (Lκ)ω × K, then X has a full q-skeleton. Corollary (Bandlow, 1994) Let K and X be compact; suppose that Cp(X) is a continuous image of a closed subspace of (Lκ)ω × K. Then X is Corson.
SLIDE 79 Some properties of q-skeletons
Theorem If X has a full q-skeleton, then every countably compact subspace
- f Cp(X) has a full r-skeleton. In particular, every compact sub-
space of Cp(X) is Corson. Theorem If X is monotonically ω-stable, then X has a full q-skeleton. In particular, whenever X is either Lindel¨
Theorem If K is compact and X is a closed subspace of (Lκ)ω × K, then X has a full q-skeleton. Corollary (Bandlow, 1994) Let K and X be compact; suppose that Cp(X) is a continuous image of a closed subspace of (Lκ)ω × K. Then X is Corson.
SLIDE 80 Some properties of q-skeletons
Theorem If X has a full q-skeleton, then every countably compact subspace
- f Cp(X) has a full r-skeleton. In particular, every compact sub-
space of Cp(X) is Corson. Theorem If X is monotonically ω-stable, then X has a full q-skeleton. In particular, whenever X is either Lindel¨
Theorem If K is compact and X is a closed subspace of (Lκ)ω × K, then X has a full q-skeleton. Corollary (Bandlow, 1994) Let K and X be compact; suppose that Cp(X) is a continuous image of a closed subspace of (Lκ)ω × K. Then X is Corson.
SLIDE 81 Some properties of q-skeletons
Theorem If X has a full q-skeleton, then every countably compact subspace
- f Cp(X) has a full r-skeleton. In particular, every compact sub-
space of Cp(X) is Corson. Theorem If X is monotonically ω-stable, then X has a full q-skeleton. In particular, whenever X is either Lindel¨
Theorem If K is compact and X is a closed subspace of (Lκ)ω × K, then X has a full q-skeleton. Corollary (Bandlow, 1994) Let K and X be compact; suppose that Cp(X) is a continuous image of a closed subspace of (Lκ)ω × K. Then X is Corson.
SLIDE 82 Some properties of q-skeletons
Theorem If X has a full q-skeleton, then every countably compact subspace
- f Cp(X) has a full r-skeleton. In particular, every compact sub-
space of Cp(X) is Corson. Theorem If X is monotonically ω-stable, then X has a full q-skeleton. In particular, whenever X is either Lindel¨
Theorem If K is compact and X is a closed subspace of (Lκ)ω × K, then X has a full q-skeleton. Corollary (Bandlow, 1994) Let K and X be compact; suppose that Cp(X) is a continuous image of a closed subspace of (Lκ)ω × K. Then X is Corson.
SLIDE 83 Some properties of q-skeletons
Theorem If X has a full q-skeleton, then every countably compact subspace
- f Cp(X) has a full r-skeleton. In particular, every compact sub-
space of Cp(X) is Corson. Theorem If X is monotonically ω-stable, then X has a full q-skeleton. In particular, whenever X is either Lindel¨
Theorem If K is compact and X is a closed subspace of (Lκ)ω × K, then X has a full q-skeleton. Corollary (Bandlow, 1994) Let K and X be compact; suppose that Cp(X) is a continuous image of a closed subspace of (Lκ)ω × K. Then X is Corson.
SLIDE 84
The c-skeletons
Let us observe that all the elements in the definition of q-skeleton are dualizable. In this way, it is natural to define a dual concept. Definition A c-skeleton on X is a family of pairs {(Fs, Bs) : s ∈ Γ}, where Fs is a closed in X and Bs ∈ [τ(X)]≤ω for each s ∈ Γ, which satisfy: (i) for each s ∈ Γ, Bs is a base for a topology on τs on X and there exist a Tychonoff space Zs and a continuous map gs : (X, τs) → Zs which separates the points of Fs, (ii) if s, t ∈ Γ and s ≤ t, then Fs ⊂ Ft, and (iii) the assignment s → Bs is ω-monotone. In addition, if X =
s∈Γ Fs, then we say that the c-skeleton is
full.
SLIDE 85
The c-skeletons
Let us observe that all the elements in the definition of q-skeleton are dualizable. In this way, it is natural to define a dual concept. Definition A c-skeleton on X is a family of pairs {(Fs, Bs) : s ∈ Γ}, where Fs is a closed in X and Bs ∈ [τ(X)]≤ω for each s ∈ Γ, which satisfy: (i) for each s ∈ Γ, Bs is a base for a topology on τs on X and there exist a Tychonoff space Zs and a continuous map gs : (X, τs) → Zs which separates the points of Fs, (ii) if s, t ∈ Γ and s ≤ t, then Fs ⊂ Ft, and (iii) the assignment s → Bs is ω-monotone. In addition, if X =
s∈Γ Fs, then we say that the c-skeleton is
full.
SLIDE 86
The c-skeletons
Let us observe that all the elements in the definition of q-skeleton are dualizable. In this way, it is natural to define a dual concept. Definition A c-skeleton on X is a family of pairs {(Fs, Bs) : s ∈ Γ}, where Fs is a closed in X and Bs ∈ [τ(X)]≤ω for each s ∈ Γ, which satisfy: (i) for each s ∈ Γ, Bs is a base for a topology on τs on X and there exist a Tychonoff space Zs and a continuous map gs : (X, τs) → Zs which separates the points of Fs, (ii) if s, t ∈ Γ and s ≤ t, then Fs ⊂ Ft, and (iii) the assignment s → Bs is ω-monotone. In addition, if X =
s∈Γ Fs, then we say that the c-skeleton is
full.
SLIDE 87
The c-skeletons
Let us observe that all the elements in the definition of q-skeleton are dualizable. In this way, it is natural to define a dual concept. Definition A c-skeleton on X is a family of pairs {(Fs, Bs) : s ∈ Γ}, where Fs is a closed in X and Bs ∈ [τ(X)]≤ω for each s ∈ Γ, which satisfy: (i) for each s ∈ Γ, Bs is a base for a topology on τs on X and there exist a Tychonoff space Zs and a continuous map gs : (X, τs) → Zs which separates the points of Fs, (ii) if s, t ∈ Γ and s ≤ t, then Fs ⊂ Ft, and (iii) the assignment s → Bs is ω-monotone. In addition, if X =
s∈Γ Fs, then we say that the c-skeleton is
full.
SLIDE 88
The c-skeletons
Let us observe that all the elements in the definition of q-skeleton are dualizable. In this way, it is natural to define a dual concept. Definition A c-skeleton on X is a family of pairs {(Fs, Bs) : s ∈ Γ}, where Fs is a closed in X and Bs ∈ [τ(X)]≤ω for each s ∈ Γ, which satisfy: (i) for each s ∈ Γ, Bs is a base for a topology on τs on X and there exist a Tychonoff space Zs and a continuous map gs : (X, τs) → Zs which separates the points of Fs, (ii) if s, t ∈ Γ and s ≤ t, then Fs ⊂ Ft, and (iii) the assignment s → Bs is ω-monotone. In addition, if X =
s∈Γ Fs, then we say that the c-skeleton is
full.
SLIDE 89
The c-skeletons
Let us observe that all the elements in the definition of q-skeleton are dualizable. In this way, it is natural to define a dual concept. Definition A c-skeleton on X is a family of pairs {(Fs, Bs) : s ∈ Γ}, where Fs is a closed in X and Bs ∈ [τ(X)]≤ω for each s ∈ Γ, which satisfy: (i) for each s ∈ Γ, Bs is a base for a topology on τs on X and there exist a Tychonoff space Zs and a continuous map gs : (X, τs) → Zs which separates the points of Fs, (ii) if s, t ∈ Γ and s ≤ t, then Fs ⊂ Ft, and (iii) the assignment s → Bs is ω-monotone. In addition, if X =
s∈Γ Fs, then we say that the c-skeleton is
full.
SLIDE 90
The c-skeletons
Let us observe that all the elements in the definition of q-skeleton are dualizable. In this way, it is natural to define a dual concept. Definition A c-skeleton on X is a family of pairs {(Fs, Bs) : s ∈ Γ}, where Fs is a closed in X and Bs ∈ [τ(X)]≤ω for each s ∈ Γ, which satisfy: (i) for each s ∈ Γ, Bs is a base for a topology on τs on X and there exist a Tychonoff space Zs and a continuous map gs : (X, τs) → Zs which separates the points of Fs, (ii) if s, t ∈ Γ and s ≤ t, then Fs ⊂ Ft, and (iii) the assignment s → Bs is ω-monotone. In addition, if X =
s∈Γ Fs, then we say that the c-skeleton is
full.
SLIDE 91
Some properties of c-skeletons
Theorem If X has a (full) c-skeleton, then Cp(X) has a (full) q-skeleton. Theorem If X has a (full) q-skeleton, then Cp(X) has a (full) c-skeleton. Corollary A compact space X is Corson iff has a full c-skeleton. Question Let X be a countably compact space, is it true X has a full c- skeleton iff X has a full r-skeleton.
SLIDE 92
Some properties of c-skeletons
Theorem If X has a (full) c-skeleton, then Cp(X) has a (full) q-skeleton. Theorem If X has a (full) q-skeleton, then Cp(X) has a (full) c-skeleton. Corollary A compact space X is Corson iff has a full c-skeleton. Question Let X be a countably compact space, is it true X has a full c- skeleton iff X has a full r-skeleton.
SLIDE 93
Some properties of c-skeletons
Theorem If X has a (full) c-skeleton, then Cp(X) has a (full) q-skeleton. Theorem If X has a (full) q-skeleton, then Cp(X) has a (full) c-skeleton. Corollary A compact space X is Corson iff has a full c-skeleton. Question Let X be a countably compact space, is it true X has a full c- skeleton iff X has a full r-skeleton.
SLIDE 94
Some properties of c-skeletons
Theorem If X has a (full) c-skeleton, then Cp(X) has a (full) q-skeleton. Theorem If X has a (full) q-skeleton, then Cp(X) has a (full) c-skeleton. Corollary A compact space X is Corson iff has a full c-skeleton. Question Let X be a countably compact space, is it true X has a full c- skeleton iff X has a full r-skeleton.
SLIDE 95
Some properties of c-skeletons
Theorem If X has a (full) c-skeleton, then Cp(X) has a (full) q-skeleton. Theorem If X has a (full) q-skeleton, then Cp(X) has a (full) c-skeleton. Corollary A compact space X is Corson iff has a full c-skeleton. Question Let X be a countably compact space, is it true X has a full c- skeleton iff X has a full r-skeleton.
SLIDE 96
Some properties of c-skeletons
Theorem If X has a (full) c-skeleton, then Cp(X) has a (full) q-skeleton. Theorem If X has a (full) q-skeleton, then Cp(X) has a (full) c-skeleton. Corollary A compact space X is Corson iff has a full c-skeleton. Question Let X be a countably compact space, is it true X has a full c- skeleton iff X has a full r-skeleton.
SLIDE 97
r-skeletons and W-sets
Consider the following game G(H, X) of length ω played in a space X, where H is a closed subset of X. There are two players, O and P.
◮ In the nth round, O chooses an open superset On of H,
and P chooses a point pn ∈ On. The player O wins the game if pn → H. We say that H is a W-set in X if O has a winning strategy for G(H, X). Theorem Let X be a countably compact which admits a full r-skeleton. If H is non-empty and closed in X then H is a W-set in X. Corollary Suppose that X is countably compact and admits a full r-skelton. Then X has a W-set diagonal.
SLIDE 98
r-skeletons and W-sets
Consider the following game G(H, X) of length ω played in a space X, where H is a closed subset of X. There are two players, O and P.
◮ In the nth round, O chooses an open superset On of H,
and P chooses a point pn ∈ On. The player O wins the game if pn → H. We say that H is a W-set in X if O has a winning strategy for G(H, X). Theorem Let X be a countably compact which admits a full r-skeleton. If H is non-empty and closed in X then H is a W-set in X. Corollary Suppose that X is countably compact and admits a full r-skelton. Then X has a W-set diagonal.
SLIDE 99
r-skeletons and W-sets
Consider the following game G(H, X) of length ω played in a space X, where H is a closed subset of X. There are two players, O and P.
◮ In the nth round, O chooses an open superset On of H,
and P chooses a point pn ∈ On. The player O wins the game if pn → H. We say that H is a W-set in X if O has a winning strategy for G(H, X). Theorem Let X be a countably compact which admits a full r-skeleton. If H is non-empty and closed in X then H is a W-set in X. Corollary Suppose that X is countably compact and admits a full r-skelton. Then X has a W-set diagonal.
SLIDE 100
r-skeletons and W-sets
Consider the following game G(H, X) of length ω played in a space X, where H is a closed subset of X. There are two players, O and P.
◮ In the nth round, O chooses an open superset On of H,
and P chooses a point pn ∈ On. The player O wins the game if pn → H. We say that H is a W-set in X if O has a winning strategy for G(H, X). Theorem Let X be a countably compact which admits a full r-skeleton. If H is non-empty and closed in X then H is a W-set in X. Corollary Suppose that X is countably compact and admits a full r-skelton. Then X has a W-set diagonal.
SLIDE 101
r-skeletons and W-sets
Consider the following game G(H, X) of length ω played in a space X, where H is a closed subset of X. There are two players, O and P.
◮ In the nth round, O chooses an open superset On of H,
and P chooses a point pn ∈ On. The player O wins the game if pn → H. We say that H is a W-set in X if O has a winning strategy for G(H, X). Theorem Let X be a countably compact which admits a full r-skeleton. If H is non-empty and closed in X then H is a W-set in X. Corollary Suppose that X is countably compact and admits a full r-skelton. Then X has a W-set diagonal.
SLIDE 102
r-skeletons and W-sets
Consider the following game G(H, X) of length ω played in a space X, where H is a closed subset of X. There are two players, O and P.
◮ In the nth round, O chooses an open superset On of H,
and P chooses a point pn ∈ On. The player O wins the game if pn → H. We say that H is a W-set in X if O has a winning strategy for G(H, X). Theorem Let X be a countably compact which admits a full r-skeleton. If H is non-empty and closed in X then H is a W-set in X. Corollary Suppose that X is countably compact and admits a full r-skelton. Then X has a W-set diagonal.
SLIDE 103
r-skeletons and W-sets
Consider the following game G(H, X) of length ω played in a space X, where H is a closed subset of X. There are two players, O and P.
◮ In the nth round, O chooses an open superset On of H,
and P chooses a point pn ∈ On. The player O wins the game if pn → H. We say that H is a W-set in X if O has a winning strategy for G(H, X). Theorem Let X be a countably compact which admits a full r-skeleton. If H is non-empty and closed in X then H is a W-set in X. Corollary Suppose that X is countably compact and admits a full r-skelton. Then X has a W-set diagonal.
SLIDE 104
The proximal game
Definition (J. Bell, 2014) The proximal game ProxD,P (X) of length ω played on a uniform space X with two players D, P proceeds as follows:
◮ In the initial round 0, D chooses an open symmetric en-
tourage D0, followed by P choosing a point p0 ∈ X.
◮ In round n + 1, D chooses an open symmetric entourage
Dn+1 ⊂ Dn, followed by P choosing a point pn+1 ∈ X such that pn+1 ∈ Dn[pn] := {y ∈ X : (pn, y) ∈ Dn}. At the conclusion of the game, the player D wins if either {Dn[pn] : n ∈ ω} = ∅ or {pn : n ∈ N} converges, and P wins otherwise. A topological space is proximal iff it admits a compatible uni- formity in which D has a winning strategy for ProxD,P (X).
SLIDE 105
The proximal game
Definition (J. Bell, 2014) The proximal game ProxD,P (X) of length ω played on a uniform space X with two players D, P proceeds as follows:
◮ In the initial round 0, D chooses an open symmetric en-
tourage D0, followed by P choosing a point p0 ∈ X.
◮ In round n + 1, D chooses an open symmetric entourage
Dn+1 ⊂ Dn, followed by P choosing a point pn+1 ∈ X such that pn+1 ∈ Dn[pn] := {y ∈ X : (pn, y) ∈ Dn}. At the conclusion of the game, the player D wins if either {Dn[pn] : n ∈ ω} = ∅ or {pn : n ∈ N} converges, and P wins otherwise. A topological space is proximal iff it admits a compatible uni- formity in which D has a winning strategy for ProxD,P (X).
SLIDE 106
The proximal game
Definition (J. Bell, 2014) The proximal game ProxD,P (X) of length ω played on a uniform space X with two players D, P proceeds as follows:
◮ In the initial round 0, D chooses an open symmetric en-
tourage D0, followed by P choosing a point p0 ∈ X.
◮ In round n + 1, D chooses an open symmetric entourage
Dn+1 ⊂ Dn, followed by P choosing a point pn+1 ∈ X such that pn+1 ∈ Dn[pn] := {y ∈ X : (pn, y) ∈ Dn}. At the conclusion of the game, the player D wins if either {Dn[pn] : n ∈ ω} = ∅ or {pn : n ∈ N} converges, and P wins otherwise. A topological space is proximal iff it admits a compatible uni- formity in which D has a winning strategy for ProxD,P (X).
SLIDE 107
The proximal game
Definition (J. Bell, 2014) The proximal game ProxD,P (X) of length ω played on a uniform space X with two players D, P proceeds as follows:
◮ In the initial round 0, D chooses an open symmetric en-
tourage D0, followed by P choosing a point p0 ∈ X.
◮ In round n + 1, D chooses an open symmetric entourage
Dn+1 ⊂ Dn, followed by P choosing a point pn+1 ∈ X such that pn+1 ∈ Dn[pn] := {y ∈ X : (pn, y) ∈ Dn}. At the conclusion of the game, the player D wins if either {Dn[pn] : n ∈ ω} = ∅ or {pn : n ∈ N} converges, and P wins otherwise. A topological space is proximal iff it admits a compatible uni- formity in which D has a winning strategy for ProxD,P (X).
SLIDE 108
The proximal game
Definition (J. Bell, 2014) The proximal game ProxD,P (X) of length ω played on a uniform space X with two players D, P proceeds as follows:
◮ In the initial round 0, D chooses an open symmetric en-
tourage D0, followed by P choosing a point p0 ∈ X.
◮ In round n + 1, D chooses an open symmetric entourage
Dn+1 ⊂ Dn, followed by P choosing a point pn+1 ∈ X such that pn+1 ∈ Dn[pn] := {y ∈ X : (pn, y) ∈ Dn}. At the conclusion of the game, the player D wins if either {Dn[pn] : n ∈ ω} = ∅ or {pn : n ∈ N} converges, and P wins otherwise. A topological space is proximal iff it admits a compatible uni- formity in which D has a winning strategy for ProxD,P (X).
SLIDE 109
The proximal game
Definition (J. Bell, 2014) The proximal game ProxD,P (X) of length ω played on a uniform space X with two players D, P proceeds as follows:
◮ In the initial round 0, D chooses an open symmetric en-
tourage D0, followed by P choosing a point p0 ∈ X.
◮ In round n + 1, D chooses an open symmetric entourage
Dn+1 ⊂ Dn, followed by P choosing a point pn+1 ∈ X such that pn+1 ∈ Dn[pn] := {y ∈ X : (pn, y) ∈ Dn}. At the conclusion of the game, the player D wins if either {Dn[pn] : n ∈ ω} = ∅ or {pn : n ∈ N} converges, and P wins otherwise. A topological space is proximal iff it admits a compatible uni- formity in which D has a winning strategy for ProxD,P (X).
SLIDE 110
The proximal game
Definition (J. Bell, 2014) The proximal game ProxD,P (X) of length ω played on a uniform space X with two players D, P proceeds as follows:
◮ In the initial round 0, D chooses an open symmetric en-
tourage D0, followed by P choosing a point p0 ∈ X.
◮ In round n + 1, D chooses an open symmetric entourage
Dn+1 ⊂ Dn, followed by P choosing a point pn+1 ∈ X such that pn+1 ∈ Dn[pn] := {y ∈ X : (pn, y) ∈ Dn}. At the conclusion of the game, the player D wins if either {Dn[pn] : n ∈ ω} = ∅ or {pn : n ∈ N} converges, and P wins otherwise. A topological space is proximal iff it admits a compatible uni- formity in which D has a winning strategy for ProxD,P (X).
SLIDE 111
r-skeletons and proximal spaces
Theorem (Clontz and Gruenhague, 2015) All proximal spaces are W-spaces. Theorem Let X be a countably compact which admits a full r-skeleton. Then X is proximal. For countably compact spaces we have: r-skeleton − → Proximal − → W-space Question Are the above implications reversible?
SLIDE 112
r-skeletons and proximal spaces
Theorem (Clontz and Gruenhague, 2015) All proximal spaces are W-spaces. Theorem Let X be a countably compact which admits a full r-skeleton. Then X is proximal. For countably compact spaces we have: r-skeleton − → Proximal − → W-space Question Are the above implications reversible?
SLIDE 113
r-skeletons and proximal spaces
Theorem (Clontz and Gruenhague, 2015) All proximal spaces are W-spaces. Theorem Let X be a countably compact which admits a full r-skeleton. Then X is proximal. For countably compact spaces we have: r-skeleton − → Proximal − → W-space Question Are the above implications reversible?
SLIDE 114
r-skeletons and proximal spaces
Theorem (Clontz and Gruenhague, 2015) All proximal spaces are W-spaces. Theorem Let X be a countably compact which admits a full r-skeleton. Then X is proximal. For countably compact spaces we have: r-skeleton − → Proximal − → W-space Question Are the above implications reversible?
SLIDE 115
r-skeletons and proximal spaces
Theorem (Clontz and Gruenhague, 2015) All proximal spaces are W-spaces. Theorem Let X be a countably compact which admits a full r-skeleton. Then X is proximal. For countably compact spaces we have: r-skeleton − → Proximal − → W-space Question Are the above implications reversible?
SLIDE 116
r-skeletons and proximal spaces
Theorem (Clontz and Gruenhague, 2015) All proximal spaces are W-spaces. Theorem Let X be a countably compact which admits a full r-skeleton. Then X is proximal. For countably compact spaces we have: r-skeleton − → Proximal − → W-space Question Are the above implications reversible?
SLIDE 117
monotonically retractable spaces
Definition Given a space X, a subspace Y of X is monotonically re- tractable in X if we can assign to each A ∈ [Y ]≤ω a retraction rA : X → Y and a family N(A) ∈ [P(Y )]≤ω such that: (i) A ⊆ rA(X); (ii) N(A) is a network of rA ↾ Y ; and (iii) N is ω-monotone. If in addition rA ◦ rB = rB ◦ rA for each A, B ∈ [Y ]≤ω, we say that Y is commutatively monotonically retractable in X. Theorem A compact space X is Valdivia if and only if it has a dense subset Y which is monotonically retractable in X.
SLIDE 118
monotonically retractable spaces
Definition Given a space X, a subspace Y of X is monotonically re- tractable in X if we can assign to each A ∈ [Y ]≤ω a retraction rA : X → Y and a family N(A) ∈ [P(Y )]≤ω such that: (i) A ⊆ rA(X); (ii) N(A) is a network of rA ↾ Y ; and (iii) N is ω-monotone. If in addition rA ◦ rB = rB ◦ rA for each A, B ∈ [Y ]≤ω, we say that Y is commutatively monotonically retractable in X. Theorem A compact space X is Valdivia if and only if it has a dense subset Y which is monotonically retractable in X.
SLIDE 119
monotonically retractable spaces
Definition Given a space X, a subspace Y of X is monotonically re- tractable in X if we can assign to each A ∈ [Y ]≤ω a retraction rA : X → Y and a family N(A) ∈ [P(Y )]≤ω such that: (i) A ⊆ rA(X); (ii) N(A) is a network of rA ↾ Y ; and (iii) N is ω-monotone. If in addition rA ◦ rB = rB ◦ rA for each A, B ∈ [Y ]≤ω, we say that Y is commutatively monotonically retractable in X. Theorem A compact space X is Valdivia if and only if it has a dense subset Y which is monotonically retractable in X.
SLIDE 120
monotonically retractable spaces
Definition Given a space X, a subspace Y of X is monotonically re- tractable in X if we can assign to each A ∈ [Y ]≤ω a retraction rA : X → Y and a family N(A) ∈ [P(Y )]≤ω such that: (i) A ⊆ rA(X); (ii) N(A) is a network of rA ↾ Y ; and (iii) N is ω-monotone. If in addition rA ◦ rB = rB ◦ rA for each A, B ∈ [Y ]≤ω, we say that Y is commutatively monotonically retractable in X. Theorem A compact space X is Valdivia if and only if it has a dense subset Y which is monotonically retractable in X.
SLIDE 121
monotonically retractable spaces
Definition Given a space X, a subspace Y of X is monotonically re- tractable in X if we can assign to each A ∈ [Y ]≤ω a retraction rA : X → Y and a family N(A) ∈ [P(Y )]≤ω such that: (i) A ⊆ rA(X); (ii) N(A) is a network of rA ↾ Y ; and (iii) N is ω-monotone. If in addition rA ◦ rB = rB ◦ rA for each A, B ∈ [Y ]≤ω, we say that Y is commutatively monotonically retractable in X. Theorem A compact space X is Valdivia if and only if it has a dense subset Y which is monotonically retractable in X.
SLIDE 122
monotonically retractable spaces
Definition Given a space X, a subspace Y of X is monotonically re- tractable in X if we can assign to each A ∈ [Y ]≤ω a retraction rA : X → Y and a family N(A) ∈ [P(Y )]≤ω such that: (i) A ⊆ rA(X); (ii) N(A) is a network of rA ↾ Y ; and (iii) N is ω-monotone. If in addition rA ◦ rB = rB ◦ rA for each A, B ∈ [Y ]≤ω, we say that Y is commutatively monotonically retractable in X. Theorem A compact space X is Valdivia if and only if it has a dense subset Y which is monotonically retractable in X.
SLIDE 123
monotonically retractable spaces
Definition Given a space X, a subspace Y of X is monotonically re- tractable in X if we can assign to each A ∈ [Y ]≤ω a retraction rA : X → Y and a family N(A) ∈ [P(Y )]≤ω such that: (i) A ⊆ rA(X); (ii) N(A) is a network of rA ↾ Y ; and (iii) N is ω-monotone. If in addition rA ◦ rB = rB ◦ rA for each A, B ∈ [Y ]≤ω, we say that Y is commutatively monotonically retractable in X. Theorem A compact space X is Valdivia if and only if it has a dense subset Y which is monotonically retractable in X.
SLIDE 124
monotonically retractable spaces
Definition Given a space X, a subspace Y of X is monotonically re- tractable in X if we can assign to each A ∈ [Y ]≤ω a retraction rA : X → Y and a family N(A) ∈ [P(Y )]≤ω such that: (i) A ⊆ rA(X); (ii) N(A) is a network of rA ↾ Y ; and (iii) N is ω-monotone. If in addition rA ◦ rB = rB ◦ rA for each A, B ∈ [Y ]≤ω, we say that Y is commutatively monotonically retractable in X. Theorem A compact space X is Valdivia if and only if it has a dense subset Y which is monotonically retractable in X.
SLIDE 125
Thank you
SLIDE 126
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