Cauchy determinant
E239296
The Cauchy determinant is a classical determinant formula in linear algebra that gives a closed-form expression for matrices with entries of the form 1/(x_i + y_j), named after the French mathematician Augustin-Louis Cauchy.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Cauchy determinant canonical | 1 |
| determinant de Cauchy | 1 |
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
determinant formula
ⓘ
result in linear algebra ⓘ |
| appearsIn |
algebraic combinatorics
ⓘ
classical invariant theory ⓘ |
| appliesTo | Cauchy matrix ⓘ |
| assumes |
x_i + y_j ≠ 0 for all i,j
ⓘ
x_i are pairwise distinct ⓘ y_j are pairwise distinct ⓘ |
| describes | determinant of Cauchy matrix ⓘ |
| era | 19th century mathematics ⓘ |
| field |
linear algebra
ⓘ
matrix theory ⓘ |
| generalizationOf | determinant of Vandermonde-type matrices ⓘ |
| gives | closed-form expression for determinant ⓘ |
| hasClosedForm | product over i<k (x_k - x_i) times product over j<ℓ (y_ℓ - y_j) divided by product over i,j (x_i + y_j) ⓘ |
| matrixEntryForm |
1/(x_i + y_j)
ⓘ
1/(x_i - y_j) ⓘ |
| namedAfter | Augustin-Louis Cauchy ⓘ |
| namedInLanguage |
Cauchy determinant
self-linksurface differs
ⓘ
surface form:
determinant de Cauchy
|
| property |
determinant factors into product of differences of x_i and y_j
ⓘ
determinant is rational function of x_i and y_j ⓘ determinant nonzero if x_i and y_j satisfy distinctness conditions ⓘ |
| relatedTo |
Cauchy matrix
ⓘ
Cauchy–Binet formula ⓘ Vandermonde matrix ⓘ
surface form:
Vandermonde determinant
|
| usedFor | computing determinants of structured matrices ⓘ |
| usedIn |
combinatorics
ⓘ
interpolation theory ⓘ random matrix theory ⓘ representation theory ⓘ theory of special functions ⓘ |
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: Cauchy determinant Description of subject: The Cauchy determinant is a classical determinant formula in linear algebra that gives a closed-form expression for matrices with entries of the form 1/(x_i + y_j), named after the French mathematician Augustin-Louis Cauchy.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
determinant de Cauchy