Parseval's theorem
E624505
Parseval's theorem is a fundamental result in Fourier analysis that equates the total energy of a function in the time (or spatial) domain with the total energy of its representation in the frequency domain.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Parseval theorem | 2 |
| Parseval's theorem canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6858929 — 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: Parseval's theorem Context triple: [Wiener–Khinchin theorem, relatedTo, Parseval's theorem]
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A.
Wiener–Khinchin theorem
The Wiener–Khinchin theorem is a fundamental result in signal processing and probability theory that relates a wide-sense stationary random process’s autocorrelation function to its power spectral density via the Fourier transform.
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B.
Fourier inversion theorem
The Fourier inversion theorem is a fundamental result in harmonic analysis that guarantees, under suitable conditions, that a function can be exactly reconstructed from its Fourier transform.
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C.
Fourier transform
The Fourier transform is a mathematical operation that decomposes a function or signal into its constituent frequencies, widely used in engineering, physics, and signal processing.
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D.
Poisson summation formula
The Poisson summation formula is a fundamental result in harmonic analysis that links sums of a function over the integers to sums of its Fourier transform, with deep applications in number theory, signal processing, and physics.
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E.
convolution theorem
The convolution theorem is a fundamental result in Fourier analysis stating that convolution in one domain corresponds to pointwise multiplication in the Fourier-transformed domain (and vice versa), greatly simplifying the analysis of linear systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Parseval's theorem Target entity description: Parseval's theorem is a fundamental result in Fourier analysis that equates the total energy of a function in the time (or spatial) domain with the total energy of its representation in the frequency domain.
-
A.
Wiener–Khinchin theorem
The Wiener–Khinchin theorem is a fundamental result in signal processing and probability theory that relates a wide-sense stationary random process’s autocorrelation function to its power spectral density via the Fourier transform.
-
B.
Fourier inversion theorem
The Fourier inversion theorem is a fundamental result in harmonic analysis that guarantees, under suitable conditions, that a function can be exactly reconstructed from its Fourier transform.
-
C.
Fourier transform
The Fourier transform is a mathematical operation that decomposes a function or signal into its constituent frequencies, widely used in engineering, physics, and signal processing.
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D.
Poisson summation formula
The Poisson summation formula is a fundamental result in harmonic analysis that links sums of a function over the integers to sums of its Fourier transform, with deep applications in number theory, signal processing, and physics.
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E.
convolution theorem
The convolution theorem is a fundamental result in Fourier analysis stating that convolution in one domain corresponds to pointwise multiplication in the Fourier-transformed domain (and vice versa), greatly simplifying the analysis of linear systems.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
mathematical theorem
ⓘ
result in Fourier analysis ⓘ |
| appliesTo |
L2(-π,π)
ⓘ
L2(R) ⓘ square-integrable functions ⓘ |
| assumes |
existence of Fourier representation
ⓘ
square-integrability of the function ⓘ |
| category |
theorems in functional analysis
ⓘ
theorems in harmonic analysis ⓘ theorems in real analysis ⓘ |
| coreIdea |
conservation of L2 norm under Fourier transform
ⓘ
equality of energy in time and frequency domains ⓘ |
| field |
Fourier analysis
NERFINISHED
ⓘ
applied mathematics ⓘ functional analysis ⓘ harmonic analysis ⓘ signal processing ⓘ |
| generalizedBy | Plancherel's theorem NERFINISHED ⓘ |
| historicalPeriod | 19th century mathematics ⓘ |
| holdsIn | Hilbert spaces with orthonormal basis ⓘ |
| implies | Fourier transform is an isometry on L2 NERFINISHED ⓘ |
| isSpecialCaseOf | Plancherel's theorem NERFINISHED ⓘ |
| mathematicalFormulation |
integral of |f(x)|^2 equals integral of |F(ω)|^2 up to normalization
ⓘ
sum of squares of Fourier coefficients equals L2 norm squared of function ⓘ |
| namedAfter | Marc-Antoine Parseval NERFINISHED ⓘ |
| relatedTo |
Bessel's inequality
NERFINISHED
ⓘ
orthogonality of trigonometric system ⓘ unitary operators ⓘ |
| relatesConcept |
Fourier series
NERFINISHED
ⓘ
Fourier transform NERFINISHED ⓘ L2 space ⓘ energy of a function ⓘ frequency domain ⓘ orthonormal basis ⓘ time domain ⓘ |
| usedFor |
computing mean-square error in approximations
ⓘ
energy conservation checks in numerical algorithms ⓘ proving convergence properties of Fourier series ⓘ |
| usedIn |
communications engineering
ⓘ
filter design ⓘ image processing ⓘ quantum mechanics ⓘ signal energy computation ⓘ spectral analysis ⓘ vibration analysis ⓘ |
How these facts were elicited
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Subject: Parseval's theorem Description of subject: Parseval's theorem is a fundamental result in Fourier analysis that equates the total energy of a function in the time (or spatial) domain with the total energy of its representation in the frequency domain.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.