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Exercise 155Linear algebra › Linear mapsL1Added 3 Nov 2026

A linear symmetry

#symmetry#involution#linear map

Statement

Let s:R2→R2s:\mathbb{R}^2\to\mathbb{R}^2 be defined by s(x,y)=(y,x)s(x,y)=(y,x). Show that ss is linear and s∘s=ids\circ s=\mathrm{id}. Find its eigenvalues and eigenspaces.

Hint

Direct check; for the eigenspaces, solve s(v)=±vs(v)=\pm v.

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Solution

Linearity. s(λ(x,y))=(λy,λx)=λs(x,y)s(\lambda(x,y))=(\lambda y,\lambda x)=\lambda s(x,y) and s((x,y)+(x′,y′))=(y+y′, x+x′)=s(x,y)+s(x′,y′)s\big((x,y)+(x',y')\big)=(y+y',\ x+x')=s(x,y)+s(x',y').

Involution. s(s(x,y))=s(y,x)=(x,y)s(s(x,y))=s(y,x)=(x,y), so s∘s=ids\circ s=\mathrm{id}.

Eigenspaces. s(v)=v  ⟺  y=xs(v)=v\iff y=x: E1=span⁡((1,1))E_1=\operatorname{span}\big((1,1)\big). s(v)=−v  ⟺  y=−xs(v)=-v\iff y=-x: E−1=span⁡((1,−1))E_{-1}=\operatorname{span}\big((1,-1)\big). The vectors (1,1)(1,1) and (1,−1)(1,-1) are independent, so R2=E1⊕E−1\mathbb{R}^2=E_1\oplus E_{-1} and ss is diagonalizable with eigenvalues 11 and −1-1.

Conclusion. ss is a linear involution (the reflection across the line y=xy=x, parallel to the direction (1,−1)(1,-1)).