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Exercise 1199Linear algebra › Vector spaces and subspacesL1Added 3 Nov 2026

Eigenspaces as subspaces

#eigenspaces#subspaces#dimension

Statement

Let A=(4123)A=\begin{pmatrix} 4 & 1 \\ 2 & 3 \end{pmatrix}. Show that the eigenspace E2=ker⁡(A−2I)E_2=\ker(A-2I) is a subspace of R2\mathbb{R}^2 and compute its dimension.

Hint

The kernel of a linear map is always a subspace.

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Solution

Subspace. E2=ker⁡(A−2I)E_2=\ker(A-2I) is the kernel of the linear map x↦(A−2I)xx\mapsto(A-2I)x, hence a subspace.

Computation.
A−2I=(2121).A-2I = \begin{pmatrix} 2 & 1 \\ 2 & 1 \end{pmatrix}.
The kernel is given by 2x+y=02x+y=0, i.e. y=−2xy=-2x. So E2=span⁡((1,−2))E_2=\operatorname{span}((1,-2)).

Dimension. dim⁡E2=1\dim E_2=1.

Conclusion. E2E_2 is the line spanned by (1,−2)(1,-2).