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Cauchy matrix (Definition)

Let $ x_1$, $ x_2,\ldots, x_m$, and $ y_1$, $ y_2 \ldots, y_n$ be elements in a field $ F$, satisfying the properties that

  1. $ x_1, \ldots, x_m$ are distinct,
  2. $ y_1, \ldots, y_n$ are distinct, and
  3. $ x_i+y_j\neq 0$ for $ 1\leq i \leq m$, $ 1\leq j \leq n$.

The matrix

$\displaystyle \begin{bmatrix} \frac{1}{x_1+y_1} & \frac{1}{x_1+y_2} & \cdots &\... ...\frac{1}{x_m+y_1} & \frac{1}{x_m+y_2} & \cdots &\frac{1}{x_m+y_n} \end{bmatrix}$
is called a Cauchy matrix over $ F$.


The determinant of a square Cauchy matrix is

$\displaystyle \frac{ \prod_{i<j} (x_i-x_j)(y_i-y_j) } {\prod_{ij} (x_i+y_j)} $

Since $ x_i$'s are distinct and $ y_j$'s are distinct by definition, a square Cauchy matrix is non-singular. Any submatrix of a rectangular Cauchy matrix has full rank.



"Cauchy matrix" is owned by kshum.
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Cross-references: rank, submatrix, non-singular, square, determinant, matrix, field
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This is version 6 of Cauchy matrix, born on 2004-07-30, modified 2006-03-15.
Object id is 6050, canonical name is CauchyMatrix.
Accessed 4210 times total.

Classification:
AMS MSC15A57 (Linear and multilinear algebra; matrix theory :: Other types of matrices )

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