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Pythagoras0 (토론 | 기여)님의 2021년 2월 17일 (수) 00:50 판
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위키데이터
- ID : Q194397
말뭉치
- His dichotomy theorem asserts that either every subspace of a given Banach space has many symmetries or the subspaces have only trivial symmetries.[1]
- A Banach space assumes that there is a norm on the space relative to which the space is complete, but it is not assumed that the norm is defined in terms of an inner product.[2]
- If, as a result of these inclusions, the Banach space coincides with its second dual, it is called reflexive.[3]
- A Banach space is said to be weakly complete if each weak Cauchy sequence in it weakly converges to an element of the space.[3]
- An incomplete normed space is not homeomorphic to any Banach space.[3]
- In infinite-dimensional Banach spaces unconditional convergence follows from absolute convergence but the converse is not true in any infinite-dimensional Banach space.[3]
- It is clearly written and provides accessible references to many techniques that are commonly used in contemporary research in Banach space theory.[4]
- if you need to know what a dentable Banach space is, you can find out here … .[4]
- E. A Banach space is called hereditarily indecomposable, if none of its subspaces is decomposable.[5]
- Let E be a Banach space.[5]
- Now we present a dichotomy concerning geometric structure of the unit ball in a Banach space, which covers this extremal case.[5]
- Assume that E is a Banach space with a basis and satisfies the assumptions of the Lemma.[5]
- Usually, the notion of Banach space is only used in the infinite dimensional setting, typically as a vector space of functions.[6]
- While a Hilbert space is always a Banach space, the converse need not hold.[6]
- Therefore, it is possible for a Banach space not to have a norm given by an inner product.[6]
- In a finite-dimensional Banach space X, any continuous functional defined on a closed bounded set M attains its infimum.[7]
- Maurice René Fréchet was the first to use the term "Banach space" and Banach in turn then coined the term "Fréchet space.[8]
- A Banach space is a complete normed space (X, || ⋅ ||).[8]
- By definition, the normed space (X, || ⋅ ||) is a Banach space if and only if (X, d) is a complete metric space, or said differently, if and only if the canonical metric d is a complete metric.[8]
- With this topology, every Banach space is a Baire space, although there are normed spaces that are Baire but not Banach.[8]
- To begin, recall that a Banach space is a complete normed linear space.[9]
- Essentially self-contained, this reference explores a fundamental aspect of Banach space theory.[10]
- A Banach space ℬ \mathcal{B} is both a vector space (over a normed field such as ℝ \mathbb{R} ) and a complete metric space, in a compatible way.[11]
- Then a Banach space is simply a vector space equipped with a complete norm.[11]
- Thus a Banach space may equivalently be defined as a vector space equipped with a complete homogeneous translation-invariant metric.[11]
- As such, ℒ p ( X ) \mathcal{L}^p(X) is a complete pseudonormed vector space; but we identify functions that are equal almost everywhere to make it into a Banach space.[11]
- The Eberlein-Smulian theorem is obtained in this section, as is the result due to Krein and Smulian that the closed convex hull of a weakly compact subset of a Banach space is itself weakly compact.[12]
- The goal of optional Section 2.9 is to obtain James's characterization of weakly compact subsets of a Banach space in terms of the behavior of bounded linear functionals.[12]
- The book revolves around two main broad questions: What is the best smoothness of a given Banach space, and its structural consequences?[13]
- We show that the space of real functions, which are integrable with respect to a measure with values in a Banach space , has (D) property.[14]
- A Banach space is said to have property if every bounded linear operator is weakly compact for every Banach space whose dual does not contain an isomorphic copy of .[14]
- We show that every Banach space whose dual has property has property.[14]
- Given a vector measure with values in a Banach space , denotes the space of (classes of) real functions that are integrable with respect to in the sense of Bartle et al.[14]
- Then, is an s-Banach space when equipped with the norm .[15]
소스
- ↑ Banach space | mathematics
- ↑ Banach Spaces
- ↑ 3.0 3.1 3.2 3.3 Encyclopedia of Mathematics
- ↑ 4.0 4.1 Banach Space Theory - The Basis for Linear and Nonlinear Analysis
- ↑ 5.0 5.1 5.2 5.3 Banach Spaces - an overview
- ↑ 6.0 6.1 6.2 Banach Space -- from Wolfram MathWorld
- ↑ Banach Space - an overview
- ↑ 8.0 8.1 8.2 8.3 Banach space
- ↑ A Short Course on Banach Space Theory
- ↑ Isometries in Banach Spaces Vector-valued Function Spaces and Operator Spaces, Volume Two
- ↑ 11.0 11.1 11.2 11.3 Banach space in nLab
- ↑ 12.0 12.1 An Introduction to Banach Space Theory
- ↑ Smooth Analysis in Banach Spaces
- ↑ 14.0 14.1 14.2 14.3 The ( 𝐷 ) Property in Banach Spaces
- ↑ Generalized quasi-Banach sequence spaces and measures of noncompactness
메타데이터
위키데이터
- ID : Q194397
Spacy 패턴 목록
- [{'LOWER': 'banach'}, {'LEMMA': 'space'}]