The term generic matrix is used in various meanings in the mathematical branch of linear algebra .
In representation theory, matrices are called matrices in which (for all ) the sub-matrices formed from the last rows and first columns have determinants different from zero , see Bruhat decomposition # Generic matrices .



Occasionally also the matrix
![{\ displaystyle \ left ({\ begin {array} {cccc} x_ {11} & x_ {12} & \ ldots & x_ {1n} \\ x_ {21} & x_ {22} & \ ldots & x_ {2n} \\\ ldots & \ ldots && \ ldots \\ x_ {n1} & x_ {n2} & \ ldots & x_ {nn} \ end {array}} \ right) \ in Mat (n \ times n, \ mathbb {Z} \ left [ x_ {ij} \ right])}](https://wikimedia.org/api/rest_v1/media/math/render/svg/50d3844d3bfe2a87d5f568d227a02cb53a8aff3c)
called generic matrix in algebraically independent variables . This generic matrix is used, for example, in proving the Cayley-Hamilton Theorem .

There are other uses of the term in the mathematical specialist literature that are incompatible with the above.
See also