Math 2.0

Linear and multilinear algebra; matrix theory Definition

Cauchy matrix

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Definition

Let FF be a field, and let x1,…,xmx_1, \dots, x_m and y1,…,yny_1, \dots, y_n be elements of FF with xi≠yjx_i \ne y_j for all i,ji, j. The Cauchy matrix of these elements is the m×nm \times n matrix CC with entries Cij=1xi−yj(1≤i≤m, 1≤j≤n).C_{ij} = \frac{1}{x_i - y_j} \qquad (1 \le i \le m,\ 1 \le j \le n).

Remarks

Example: with x=(1,2)x = (1, 2) and y=(0,−1)y = (0, -1) the Cauchy matrix is (1121213)\begin{pmatrix} 1 & \tfrac12 \\ \tfrac12 & \tfrac13 \end{pmatrix}; here x1−y2=2x_1 - y_2 = 2 and x2−y2=3x_2 - y_2 = 3. Non-example: (1001)\begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} is not a Cauchy matrix, because no entry 1/(xi−yj)1/(x_i - y_j) can be 00. For m=nm = n, the Cauchy determinant is det⁡C=∏1≤i<j≤n(xj−xi)(yi−yj)∏i=1n∏j=1n(xi−yj).\det C = \frac{\prod_{1 \le i < j \le n} (x_j - x_i)(y_i - y_j)}{\prod_{i=1}^n \prod_{j=1}^n (x_i - y_j)}. So a square Cauchy matrix is invertible exactly when the xix_i are distinct and the yjy_j are distinct. Every square submatrix of a Cauchy matrix is again a Cauchy matrix.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Cauchy_matrix
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Tag2JDRN4ZS49
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WritingW0 stub
MSC15B05, 15A15
DefinesCauchy matrix
UsesField, Matrix
Changed2 November 2026

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