Cauchy Matrix Determinant
Factor a structured reciprocal determinant into node differences.
Free theory articleFactor a structured reciprocal determinant into node differences.
Concept & interpretation
A Cauchy matrix is an n × n matrix C constructed from two sequences of values, x_1, ..., x_n and y_1, ..., y_n. The entries of the matrix are defined as C_ij = 1 / (x_i + y_j). As long as x_i + y_j != 0 for all i,j, the matrix is well-defined.
Experiment
In the Cauchy Matrix Determinant interactive module, you can investigate larger 3 × 3 matrices by selecting different sets of nodes and applying an optional X shift.
Try the following:
- Observe the determinant of the "Hilbert" preset, which forms a specific case of a Cauchy matrix where x_i = i and y_j = j-1.
- Apply an X shift to the "Base" nodes and see how the determinant changes but remains calculable using the same formula.
- Select the "Repeated row" case to see the determinant evaluate to zero, producing a rank 2 matrix due to linearly dependent rows.