Littlewood–Paley theory
E412933
Littlewood–Paley theory is a collection of techniques in harmonic analysis that decompose functions into frequency-localized pieces to study their behavior in L^p spaces and related function spaces.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Littlewood–Paley theory canonical | 5 |
| Fefferman–Stein theory in harmonic analysis | 1 |
| Littlewood–Paley inequality | 1 |
| Littlewood–Paley projections | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4092344 — 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: Littlewood–Paley theory Context triple: [Khinchin–Kahane type inequalities, relatedTo, Littlewood–Paley theory]
-
A.
Three regularity results in harmonic analysis
"Three regularity results in harmonic analysis" is the doctoral thesis of mathematician Terence Tao, focusing on advanced problems in harmonic analysis and the study of regularity properties of functions and operators.
-
B.
Hardy–Littlewood maximal function
The Hardy–Littlewood maximal function is a fundamental operator in real analysis and harmonic analysis that controls the local averages of a function and plays a key role in differentiation theorems and singular integral theory.
-
C.
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.
-
D.
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.
-
E.
Bernstein inequalities
Bernstein inequalities are fundamental results in approximation theory and probability that provide bounds on the derivatives or deviations of functions and random variables under certain smoothness or moment conditions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Littlewood–Paley theory Target entity description: Littlewood–Paley theory is a collection of techniques in harmonic analysis that decompose functions into frequency-localized pieces to study their behavior in L^p spaces and related function spaces.
-
A.
Three regularity results in harmonic analysis
"Three regularity results in harmonic analysis" is the doctoral thesis of mathematician Terence Tao, focusing on advanced problems in harmonic analysis and the study of regularity properties of functions and operators.
-
B.
Hardy–Littlewood maximal function
The Hardy–Littlewood maximal function is a fundamental operator in real analysis and harmonic analysis that controls the local averages of a function and plays a key role in differentiation theorems and singular integral theory.
-
C.
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.
-
D.
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.
-
E.
Bernstein inequalities
Bernstein inequalities are fundamental results in approximation theory and probability that provide bounds on the derivatives or deviations of functions and random variables under certain smoothness or moment conditions.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
mathematical theory
ⓘ
theory in harmonic analysis ⓘ |
| appliesTo |
Hardy space
ⓘ
surface form:
Hardy spaces
L^p spaces for 1 < p < ∞ ⓘ spaces of homogeneous type ⓘ |
| coreIdea |
decomposition of functions into frequency-localized pieces
ⓘ
equivalence between function norms and square function norms ⓘ |
| developedBy |
John Edensor Littlewood
ⓘ
Raymond E. A. C. Paley ⓘ |
| extendedBy |
Antoni Zygmund
ⓘ
Björn Jawerth ⓘ Charles Fefferman ⓘ Elias Stein ⓘ
surface form:
Elias M. Stein
Guido Weiss NERFINISHED ⓘ Michael Frazier ⓘ |
| field | harmonic analysis ⓘ |
| framework |
Fourier analysis
ⓘ
real-variable methods in harmonic analysis ⓘ |
| generalizationOf | classical Fourier series techniques ⓘ |
| historicalPeriod | 20th century ⓘ |
| influenced |
modern harmonic analysis
ⓘ
time–frequency analysis ⓘ |
| mainTool |
Littlewood–Paley theory
self-linksurface differs
ⓘ
surface form:
Littlewood–Paley projections
dyadic decomposition of the Fourier transform ⓘ frequency decomposition of functions ⓘ g-functions ⓘ square functions ⓘ |
| namedAfter |
John Edensor Littlewood
ⓘ
Raymond E. A. C. Paley ⓘ |
| relatedConcept |
Bony decomposition
ⓘ
Calderón–Zygmund theory ⓘ Fourier multipliers ⓘ martingale inequalities ⓘ maximal functions ⓘ paraproducts ⓘ wavelet theory ⓘ |
| studies |
behavior of functions in Besov spaces
ⓘ
behavior of functions in L^p spaces ⓘ behavior of functions in Sobolev spaces ⓘ behavior of functions in Triebel–Lizorkin spaces ⓘ |
| typicalResult |
Littlewood–Paley theory
self-linksurface differs
ⓘ
surface form:
Littlewood–Paley inequality
characterization of Hardy spaces via square functions ⓘ equivalence of L^p norm and square function norm ⓘ |
| usedFor |
Navier–Stokes equations
ⓘ
characterizing function spaces via frequency localization ⓘ establishing interpolation results ⓘ nonlinear dispersive equations ⓘ proving boundedness of singular integral operators ⓘ regularity theory for elliptic and parabolic PDEs ⓘ studying partial differential equations ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Littlewood–Paley theory Description of subject: Littlewood–Paley theory is a collection of techniques in harmonic analysis that decompose functions into frequency-localized pieces to study their behavior in L^p spaces and related function spaces.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.