Laplacian spectrum
E394466
The Laplacian spectrum is the collection of eigenvalues of the Laplace operator on a domain or manifold, encoding how functions vibrate or diffuse over it and serving as a key tool in spectral geometry and mathematical physics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Laplacian spectrum canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3884518 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laplacian spectrum Context triple: [Can one hear the shape of a drum?, mainConcept, Laplacian spectrum]
-
A.
Weyl law
The Weyl law is a fundamental result in spectral theory that describes the asymptotic distribution of eigenvalues of the Laplacian (or similar operators) in terms of the volume of the underlying domain or manifold.
-
B.
Laplace operator
The Laplace operator is a second-order differential operator widely used in mathematics and physics to describe phenomena such as diffusion, heat flow, and wave propagation.
-
C.
Selberg trace formula
The Selberg trace formula is a fundamental result in analytic number theory and spectral theory that relates lengths of closed geodesics on a Riemannian manifold to the spectrum of its Laplace operator, serving as a non-abelian analogue of the Poisson summation formula.
-
D.
Can one hear the shape of a drum?
"Can one hear the shape of a drum?" is a famous 1966 paper by mathematician Mark Kac that explores whether the geometric shape of a domain can be uniquely determined from the spectrum of its Laplacian, encapsulated in the question of whether one can infer a drum’s shape from the sound it makes.
-
E.
Laplace equation
The Laplace equation is a fundamental second-order partial differential equation widely used in physics and engineering to describe steady-state phenomena such as electrostatics, gravitation, and heat conduction.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laplacian spectrum Target entity description: The Laplacian spectrum is the collection of eigenvalues of the Laplace operator on a domain or manifold, encoding how functions vibrate or diffuse over it and serving as a key tool in spectral geometry and mathematical physics.
-
A.
Weyl law
The Weyl law is a fundamental result in spectral theory that describes the asymptotic distribution of eigenvalues of the Laplacian (or similar operators) in terms of the volume of the underlying domain or manifold.
-
B.
Laplace operator
The Laplace operator is a second-order differential operator widely used in mathematics and physics to describe phenomena such as diffusion, heat flow, and wave propagation.
-
C.
Selberg trace formula
The Selberg trace formula is a fundamental result in analytic number theory and spectral theory that relates lengths of closed geodesics on a Riemannian manifold to the spectrum of its Laplace operator, serving as a non-abelian analogue of the Poisson summation formula.
-
D.
Can one hear the shape of a drum?
"Can one hear the shape of a drum?" is a famous 1966 paper by mathematician Mark Kac that explores whether the geometric shape of a domain can be uniquely determined from the spectrum of its Laplacian, encapsulated in the question of whether one can infer a drum’s shape from the sound it makes.
-
E.
Laplace equation
The Laplace equation is a fundamental second-order partial differential equation widely used in physics and engineering to describe steady-state phenomena such as electrostatics, gravitation, and heat conduction.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
mathematical concept
ⓘ
object in spectral geometry ⓘ spectral invariant ⓘ |
| associatedWith | self-adjoint Laplace operator ⓘ |
| centralQuestion | Can one hear the shape of a drum? ⓘ |
| consistsOf | eigenvalues of the Laplace operator ⓘ |
| constrains |
certain curvature integrals
ⓘ
dimension of a Riemannian manifold ⓘ volume of a Riemannian manifold ⓘ |
| definedOn |
Riemannian manifold
ⓘ
linked to:
Riemannian manifolds
domain ⓘ graph ⓘ |
| determines |
heat trace
ⓘ
short-time asymptotics of the heat kernel ⓘ |
| encodes |
diffusion properties of a domain
ⓘ
vibrational properties of a domain ⓘ |
| hasApplicationIn |
diffusion processes
ⓘ
geometric data processing ⓘ machine learning on graphs ⓘ network analysis ⓘ quantum chaos ⓘ shape analysis ⓘ vibrations of membranes ⓘ |
| hasOperator |
Laplace operator
ⓘ
Laplacian ⓘ
linked to:
Laplace operator
|
| hasType |
continuous spectrum
ⓘ
discrete spectrum ⓘ mixed spectrum ⓘ |
| invariantUnder |
Riemannian isometries
ⓘ
isometries of the manifold ⓘ |
| mathematicallyRepresents | set of eigenvalues counted with multiplicity ⓘ |
| oftenIncludes | zero eigenvalue for compact manifolds without boundary ⓘ |
| relatedTo |
Dirichlet Laplacian
ⓘ
Dirichlet boundary conditions ⓘ Green's function ⓘ Neumann Laplacian ⓘ Neumann boundary conditions ⓘ heat kernel ⓘ wave kernel ⓘ |
| studiedIn | inverse spectral problems ⓘ |
| usedIn |
Riemannian geometry
ⓘ
linked to:
Riemannian manifolds
graph theory ⓘ heat equation analysis ⓘ mathematical physics ⓘ partial differential equations ⓘ quantum mechanics ⓘ spectral geometry ⓘ spectral graph theory ⓘ
linked to:
Spectral Graph Theory
wave equation analysis ⓘ |
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.
Instruction
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.
Input
Subject: Laplacian spectrum Description of subject: The Laplacian spectrum is the collection of eigenvalues of the Laplace operator on a domain or manifold, encoding how functions vibrate or diffuse over it and serving as a key tool in spectral geometry and mathematical physics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.