Gröbner basis
E208856
A Gröbner basis is a particular generating set of an ideal in a polynomial ring that allows algorithmic solutions to many problems in computational algebra, such as ideal membership and solving systems of polynomial equations.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Gröbner basis canonical | 5 |
| Groebner bases | 1 |
| Gröbner | 1 |
| Gröbner bases | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1859378 — 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: Gröbner basis Context triple: [Hilbert basis theorem, relatedTo, Gröbner basis]
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A.
Hilbert’s Nullstellensatz
Hilbert’s Nullstellensatz is a foundational theorem in algebraic geometry that establishes a deep correspondence between ideals in polynomial rings and algebraic sets, linking algebra and geometry.
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B.
Knuth–Bendix completion algorithm
The Knuth–Bendix completion algorithm is a procedure in term rewriting and automated theorem proving that transforms a set of equations into a confluent rewriting system, enabling decision of word problems in algebraic structures.
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C.
Hilbert basis theorem
The Hilbert basis theorem is a fundamental result in commutative algebra stating that if a ring is Noetherian then any polynomial ring over it is also Noetherian, ensuring that ideals in such rings are finitely generated.
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D.
Hilbert’s syzygy theorem
Hilbert’s syzygy theorem is a fundamental result in commutative algebra that describes the finite length and structure of free resolutions of modules over polynomial rings.
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E.
Berlekamp’s algorithm for factoring polynomials over finite fields
Berlekamp’s algorithm for factoring polynomials over finite fields is a foundational deterministic method in computational algebra that efficiently decomposes polynomials into irreducible factors over finite fields and underpins many modern algorithms in coding theory and cryptography.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Gröbner basis Target entity description: A Gröbner basis is a particular generating set of an ideal in a polynomial ring that allows algorithmic solutions to many problems in computational algebra, such as ideal membership and solving systems of polynomial equations.
-
A.
Hilbert’s Nullstellensatz
Hilbert’s Nullstellensatz is a foundational theorem in algebraic geometry that establishes a deep correspondence between ideals in polynomial rings and algebraic sets, linking algebra and geometry.
-
B.
Knuth–Bendix completion algorithm
The Knuth–Bendix completion algorithm is a procedure in term rewriting and automated theorem proving that transforms a set of equations into a confluent rewriting system, enabling decision of word problems in algebraic structures.
-
C.
Hilbert basis theorem
The Hilbert basis theorem is a fundamental result in commutative algebra stating that if a ring is Noetherian then any polynomial ring over it is also Noetherian, ensuring that ideals in such rings are finitely generated.
-
D.
Hilbert’s syzygy theorem
Hilbert’s syzygy theorem is a fundamental result in commutative algebra that describes the finite length and structure of free resolutions of modules over polynomial rings.
-
E.
Berlekamp’s algorithm for factoring polynomials over finite fields
Berlekamp’s algorithm for factoring polynomials over finite fields is a foundational deterministic method in computational algebra that efficiently decomposes polynomials into irreducible factors over finite fields and underpins many modern algorithms in coding theory and cryptography.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
algebraic structure
ⓘ
mathematical concept ⓘ |
| appliedIn |
algebraic coding theory
ⓘ
algebraic statistics ⓘ computational geometry ⓘ control theory ⓘ cryptography ⓘ robotics ⓘ systems biology ⓘ |
| basedOn | monomial order ⓘ |
| definedIn | polynomial ring ⓘ |
| enables |
algorithmic ideal operations
ⓘ
decision procedures in polynomial rings ⓘ |
| field |
commutative algebra
ⓘ
computational algebra ⓘ computer algebra ⓘ |
| formalizedIn | term rewriting systems ⓘ |
| generalizationOf |
Euclidean algorithm for polynomials
ⓘ
surface form:
Euclidean algorithm
Gaussian elimination ⓘ Smith normal form ⓘ |
| hasComputationComplexity | doubly exponential in number of variables in worst case ⓘ |
| introducedBy | Bruno Buchberger ⓘ |
| introducedIn | 1965 ⓘ |
| introducedInWork |
Buchberger algorithm
ⓘ
surface form:
Bruno Buchberger's PhD thesis
|
| namedAfter | Wolfgang Gröbner ⓘ |
| property |
depends on chosen monomial order
ⓘ
finite generating set of an ideal ⓘ not unique in general ⓘ reduced Gröbner basis is unique for a fixed term order ⓘ |
| relatedAlgorithm |
Buchberger algorithm
ⓘ
F4 algorithm ⓘ F5 algorithm ⓘ |
| relatedConcept |
Gröbner fan
ⓘ
S-polynomial ⓘ initial ideal ⓘ monomial ideal ⓘ reduced Gröbner basis ⓘ term order ⓘ universal Gröbner basis ⓘ |
| requires | term order ⓘ |
| usedFor |
algebraic geometry computations
ⓘ
computing Hilbert polynomial ⓘ computing dimension of algebraic varieties ⓘ elimination theory ⓘ ideal membership problem ⓘ implicitization of parametrized varieties ⓘ primary decomposition of ideals ⓘ solving systems of polynomial equations ⓘ symbolic computation ⓘ |
How these facts were elicited
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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: Gröbner basis Description of subject: A Gröbner basis is a particular generating set of an ideal in a polynomial ring that allows algorithmic solutions to many problems in computational algebra, such as ideal membership and solving systems of polynomial equations.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.