Matrix consimilarity

In linear algebra, two n-by-n matrices A and B are called consimilar if

${\displaystyle A=SB{\bar {S}}^{-1}\,}$

for some invertible ${\displaystyle n\times n}$ matrix ${\displaystyle S}$, where ${\displaystyle {\bar {S}}}$ denotes the elementwise complex conjugation. So for real matrices similar by some real matrix ${\displaystyle S}$, consimilarity is the same as matrix similarity.

Like ordinary similarity, consimilarity is an equivalence relation on the set of ${\displaystyle n\times n}$ matrices, and it is reasonable to ask what properties it preserves.

The theory of ordinary similarity arises as a result of studying linear transformations referred to different bases. Consimilarity arises as a result of studying antilinear transformations referred to different bases.

A matrix is consimilar to itself, its complex conjugate, its transpose and its adjoint matrix. Every matrix is consimilar to a real matrix and to a Hermitian matrix. There is a standard form for the consimilarity class, analogous to the Jordan normal form.