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Given a eigenvalue $\lambda$ of matrix $A$, the null space (kernel) of $A - \lambda I$ is called the eigenspace of $A$ associated with $\lambda$.

In another way, eigenspace $E_{\lambda; A} = \lbrace \mathbf{v} \mid (A - \lambda I)\mathbf{v} = \mathbf{0} \rbrace$ is the set of all eigenvectors associated with $\lambda$ plus zero vector.

If all the eigenvectors of $A_{n \times n}$ can form a basis of $\mathbb{R}^n$, they are called an eigenbasis of $\mathbb{R}^n$.

  • So eigenbasis is not a basis of eigenspace.