Linear mapping/Eigenvalue 1 and -1/Remark
Beside the eigenspace for , which is the kernel of the linear mapping, the eigenvalues and are in particular interesting. The eigenspace for consists of all vectors which are sent to themselves. Restricted to this linear subspace, the mapping is just the identity, it is called the fixed space. The eigenspace for consists in all vector which are sent to their negative. On this linear subspace, the mapping acts like the reflection at the origin.