Sobolev spaces
E412927
Sobolev spaces are function spaces that incorporate both functions and their weak derivatives, providing a fundamental framework for studying partial differential equations and variational problems.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Sobolev spaces canonical | 6 |
| homogeneous Sobolev spaces \\dot{W}^{k,p}(Ω) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4092249 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Sobolev spaces Context triple: [Lebesgue spaces, relatedConcept, Sobolev spaces]
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A.
Lebesgue spaces
Lebesgue spaces are function spaces, denoted \(L^p\), that consist of measurable functions whose absolute values raised to the \(p\)-th power are integrable, forming a fundamental framework in modern analysis and probability theory.
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B.
Banach spaces
Banach spaces are complete normed vector spaces that provide a fundamental framework for functional analysis and the study of infinite-dimensional linear phenomena.
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C.
Poincaré inequality
The Poincaré inequality is a fundamental result in functional analysis and partial differential equations that bounds the average oscillation of a function by the size of its gradient, playing a key role in Sobolev space theory and the study of elliptic problems.
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D.
Singular Integrals and Differentiability Properties of Functions
"Singular Integrals and Differentiability Properties of Functions" is a landmark mathematical monograph by Elias M. Stein that developed the modern theory of singular integral operators and their role in harmonic analysis and differentiability.
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E.
Hilbert spaces
Hilbert spaces are complete inner product spaces that provide the fundamental framework for modern functional analysis and many areas of mathematical physics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Sobolev spaces Target entity description: Sobolev spaces are function spaces that incorporate both functions and their weak derivatives, providing a fundamental framework for studying partial differential equations and variational problems.
-
A.
Lebesgue spaces
Lebesgue spaces are function spaces, denoted \(L^p\), that consist of measurable functions whose absolute values raised to the \(p\)-th power are integrable, forming a fundamental framework in modern analysis and probability theory.
-
B.
Banach spaces
Banach spaces are complete normed vector spaces that provide a fundamental framework for functional analysis and the study of infinite-dimensional linear phenomena.
-
C.
Poincaré inequality
The Poincaré inequality is a fundamental result in functional analysis and partial differential equations that bounds the average oscillation of a function by the size of its gradient, playing a key role in Sobolev space theory and the study of elliptic problems.
-
D.
Singular Integrals and Differentiability Properties of Functions
"Singular Integrals and Differentiability Properties of Functions" is a landmark mathematical monograph by Elias M. Stein that developed the modern theory of singular integral operators and their role in harmonic analysis and differentiability.
-
E.
Hilbert spaces
Hilbert spaces are complete inner product spaces that provide the fundamental framework for modern functional analysis and many areas of mathematical physics.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Banach space (for suitable norms)
ⓘ
function space ⓘ mathematical concept ⓘ topological vector space ⓘ |
| appliesTo |
elliptic partial differential equations
ⓘ
hyperbolic partial differential equations ⓘ parabolic partial differential equations ⓘ |
| basedOn |
Lebesgue integration
ⓘ
weak derivatives ⓘ |
| field |
calculus of variations
ⓘ
functional analysis ⓘ mathematical analysis ⓘ partial differential equations ⓘ |
| generalizationOf |
Hölder spaces (in some contexts)
ⓘ
classical differentiable function spaces ⓘ |
| hasSubtype |
H^k(Ω)
ⓘ
H_0^1(Ω) ⓘ W^{k,p}(Ω) ⓘ fractional Sobolev spaces W^{s,p}(Ω) ⓘ Sobolev spaces self-linksurface differs ⓘ
surface form:
homogeneous Sobolev spaces \\dot{W}^{k,p}(Ω)
weighted Sobolev spaces ⓘ |
| historicalPeriod | 20th century mathematics ⓘ |
| introducedBy | Sergei Sobolev NERFINISHED ⓘ |
| namedAfter | Sergei Sobolev NERFINISHED ⓘ |
| normDefinedBy | L^p-norms of a function and its weak derivatives up to order k ⓘ |
| parameter |
domain Ω
ⓘ
integrability exponent p ⓘ order k of differentiation ⓘ |
| property |
Banach space for 1 ≤ p ≤ ∞
ⓘ
Hilbert space when p = 2 (H^k spaces) ⓘ reflexive for 1 < p < ∞ ⓘ separable for 1 ≤ p < ∞ ⓘ |
| relatedConcept |
Dirichlet boundary conditions
ⓘ
surface form:
Dirichlet boundary condition
Lebesgue spaces ⓘ
surface form:
Lebesgue space L^p
distribution (generalized function) ⓘ trace operator ⓘ variational integral ⓘ weak derivative ⓘ |
| relatedTheorem |
Gagliardo–Nirenberg interpolation inequalities
ⓘ
surface form:
Gagliardo–Nirenberg interpolation inequality
Poincaré inequality ⓘ Rellich–Kondrachov compactness theorem ⓘ Sobolev inequality ⓘ
surface form:
Sobolev embedding theorem
|
| topology | norm topology induced by Sobolev norm ⓘ |
| typicalElement | equivalence class of functions equal almost everywhere ⓘ |
| usedFor |
embedding theorems and compactness results
ⓘ
finite element method analysis ⓘ regularity theory of PDEs ⓘ studying weak solutions of partial differential equations ⓘ variational formulations of boundary value problems ⓘ |
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Subject: Sobolev spaces Description of subject: Sobolev spaces are function spaces that incorporate both functions and their weak derivatives, providing a fundamental framework for studying partial differential equations and variational problems.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.