Hadamard’s example of ill-posed problems
E334044
Hadamard’s example of ill-posed problems is a classical mathematical construction illustrating how small changes in input data can cause large, unstable changes in solutions, thereby violating the standard criteria for well-posedness in analysis and partial differential equations.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Hadamard well-posedness | 1 |
| Hadamard’s definition of well-posedness | 1 |
| Hadamard’s example of ill-posed problems canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3167255 — 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: Hadamard’s example of ill-posed problems Context triple: [Jacques Hadamard, knownFor, Hadamard’s example of ill-posed problems]
-
A.
Hilbert’s twenty-second problem
Hilbert’s twenty-second problem is one of David Hilbert’s famous list of 23 problems, concerning the uniformization of analytic relations and the representation of multi-valued analytic functions by single-valued ones on suitable Riemann surfaces.
-
B.
Hilbert’s twenty-third problem
Hilbert’s twenty-third problem is one of David Hilbert’s famous list of unsolved problems, focusing on the further development and systematic application of the calculus of variations.
-
C.
The Fourier Integral and Certain of Its Applications
The Fourier Integral and Certain of Its Applications is a foundational mathematical work by Norbert Wiener that develops and applies Fourier analysis to problems in harmonic analysis and related areas.
-
D.
Über die Darstellbarkeit einer Funktion durch eine trigonometrische Reihe
Über die Darstellbarkeit einer Funktion durch eine trigonometrische Reihe is Bernhard Riemann’s seminal 1854 paper that laid foundational ideas for Fourier series and modern real analysis, including the concept now known as the Riemann integral.
-
E.
Méthodes de calcul différentiel absolu et leurs applications
Méthodes de calcul différentiel absolu et leurs applications is a foundational mathematical work that systematically develops the theory of tensor calculus and its applications, laying groundwork later used in general relativity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Hadamard’s example of ill-posed problems Target entity description: Hadamard’s example of ill-posed problems is a classical mathematical construction illustrating how small changes in input data can cause large, unstable changes in solutions, thereby violating the standard criteria for well-posedness in analysis and partial differential equations.
-
A.
Hilbert’s twenty-second problem
Hilbert’s twenty-second problem is one of David Hilbert’s famous list of 23 problems, concerning the uniformization of analytic relations and the representation of multi-valued analytic functions by single-valued ones on suitable Riemann surfaces.
-
B.
Hilbert’s twenty-third problem
Hilbert’s twenty-third problem is one of David Hilbert’s famous list of unsolved problems, focusing on the further development and systematic application of the calculus of variations.
-
C.
The Fourier Integral and Certain of Its Applications
The Fourier Integral and Certain of Its Applications is a foundational mathematical work by Norbert Wiener that develops and applies Fourier analysis to problems in harmonic analysis and related areas.
-
D.
Über die Darstellbarkeit einer Funktion durch eine trigonometrische Reihe
Über die Darstellbarkeit einer Funktion durch eine trigonometrische Reihe is Bernhard Riemann’s seminal 1854 paper that laid foundational ideas for Fourier series and modern real analysis, including the concept now known as the Riemann integral.
-
E.
Méthodes de calcul différentiel absolu et leurs applications
Méthodes de calcul différentiel absolu et leurs applications is a foundational mathematical work that systematically develops the theory of tensor calculus and its applications, laying groundwork later used in general relativity.
- F. None of above. chosen
Statements (38)
| Predicate | Object |
|---|---|
| instanceOf |
classical construction in analysis
ⓘ
counterexample ⓘ example in partial differential equations ⓘ ill-posed problem ⓘ mathematical example ⓘ |
| appearsIn |
Lectures on Cauchy’s problem in linear partial differential equations
ⓘ
surface form:
Hadamard’s work on the Cauchy problem
classical literature on PDEs ⓘ |
| concerns |
large changes in corresponding solutions
ⓘ
small perturbations in boundary or initial data ⓘ |
| context |
mathematical analysis
ⓘ
theory of differential equations ⓘ |
| demonstrates |
importance of continuous dependence on data
ⓘ
necessity of regularization methods ⓘ pathological behavior of solutions ⓘ |
| failsProperty | uniqueness or stability in the usual sense ⓘ |
| formalizes | concept of instability in PDE problems ⓘ |
| hasProperty |
lack of stability
ⓘ
lack of well-posedness ⓘ non-continuous dependence of solution on data ⓘ |
| hasRole |
paradigmatic counterexample in analysis
ⓘ
standard textbook example of ill-posedness ⓘ |
| illustrates |
instability of solutions
ⓘ
sensitivity to small perturbations in data ⓘ violation of Hadamard’s criteria for well-posedness ⓘ |
| motivates |
development of regularization techniques for inverse problems
ⓘ
study of stability conditions for PDEs ⓘ |
| namedAfter | Jacques Hadamard ⓘ |
| relatedTo |
Cauchy problems for elliptic equations
ⓘ
Hadamard’s example of ill-posed problems self-linksurface differs ⓘ
surface form:
Hadamard’s definition of well-posedness
backward continuation problems ⓘ |
| satisfies | existence of formal solutions ⓘ |
| usedAs | motivation for defining well-posed problems ⓘ |
| usedIn |
functional analysis
ⓘ
inverse problems ⓘ regularization theory ⓘ theory of partial differential equations ⓘ |
| usedToTeach |
difference between well-posed and ill-posed problems
ⓘ
role of continuity in solution operators ⓘ |
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: Hadamard’s example of ill-posed problems Description of subject: Hadamard’s example of ill-posed problems is a classical mathematical construction illustrating how small changes in input data can cause large, unstable changes in solutions, thereby violating the standard criteria for well-posedness in analysis and partial differential equations.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.