2015
DOI: 10.1016/j.topol.2014.08.014
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F-Dugundji spaces, F-Milutin spaces and absolute F-valued retracts

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Cited by 8 publications
(3 citation statements)
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“…Suppose the contrary w(X) > ω 1 , then by Theorem 5.6 and Proposition 6.3 from [7], there exists an embedding s : D ω2 → X. It follows from results of [2] that there exists a continuous map f : X → I(D ω2 ) such that Is(f (x)) = δ x for each x ∈ s(D τ ). Since the map Is is an embedding, we have f • s = δD ω2 .…”
Section: Idempotent Measures and Absolute Retractsmentioning
confidence: 93%
“…Suppose the contrary w(X) > ω 1 , then by Theorem 5.6 and Proposition 6.3 from [7], there exists an embedding s : D ω2 → X. It follows from results of [2] that there exists a continuous map f : X → I(D ω2 ) such that Is(f (x)) = δ x for each x ∈ s(D τ ). Since the map Is is an embedding, we have f • s = δD ω2 .…”
Section: Idempotent Measures and Absolute Retractsmentioning
confidence: 93%
“…The tensor product operation of probability measures is well known and very useful partially for investigation of the spaces of probability measures on compacta (see for example Chapter 8 from [15]). General categorical definition of tensor product for any functor was given in [3]. Applying this definition to the capacity functor we obtain that a tensor product of capacities on compacta X 1 and X 2 is a continuous map…”
Section: Tensor Products Of Capacitiesmentioning
confidence: 99%
“…The tensor product operation of probability measures is well known and very useful partially for investigation of the spaces of probability measures on compacta (see for example Chapter 8 from [12]). General categorical definition of tensor product for any functor was given in [2]. Applying this definition to the capacity functor we obtain that a tensor product of capacities on compacta X 1 and X 2 is a continuous map…”
Section: Tensor Products Of Capacitiesmentioning
confidence: 99%