Calcule A^{-1}, sendo A=\left(\begin{array}{ccc}\frac{1}{\sqrt{3}} & \frac{-2}{\sqrt{6}} & 0 \\\ \frac{1}{\sqrt{3}} & \frac{1}{\sqrt{6}} & \frac{-1}{\sqrt{2}} \\\ \frac{1}{\sqrt{3}} & \frac{1}{\sqrt{6}} & \frac{1}{\sqrt{2}}\end{array}\right). Dica: note que \operatorname{det}(A)=1 !

Passo 1

O enunciado pede a inversa da matriz
A=\begin{pmatrix} \tfrac{1}{\sqrt{3}} & \tfrac{-2}{\sqrt{6}} & 0\\[6pt] \\ \tfrac{1}{\sqrt{3}} & \tfrac{1}{\sqrt{6}} & \tfrac{-1}{\sqrt{2}}\\[6pt] \\ \tfrac{1}{\sqrt{3}} & \tfrac{1}{\sqrt{6}} & \tfrac{1}{\sqrt{2}} \end{pmatrix}
sabendo que \det(A)=1. Vamos usar a ideia de matrizes ortogonais: se as colunas de A forem vetores unitários e mutuamente ortogonais, então A^{-1}=A^{T}.]

Passo 2

Verificamos as normas e produtos internos das colunas de A. Denotando
\mathbf{c}_1=(\tfrac1{\sqrt3},\tfrac1{\sqrt3},\tfrac1{\sqrt3}),
\mathbf{c}_2=(-\tfrac2{\sqrt6},\tfrac1{\sqrt6},\tfrac1{\sqrt6}) e
\mathbf{c}_3=(0,-\tfrac1{\sqrt2},\tfrac1{\sqrt2}), temos
\|\mathbf{c}_1\|^2=\frac13+\frac13+\frac13=1,\quad \|\mathbf{c}_2\|^2=\frac{4}{6}+\frac{1}{6}+\frac{1}{6}=1,\quad \|\mathbf{c}_3\|^2=\frac12+\frac12=1
e
\mathbf{c}_i\cdot\mathbf{c}_j=0\quad(\forall i\neq j).
Logo, as colunas são ortonormais.

Passo 3

Como A é ortogonal e \det(A)=1, vale
A^{-1}=A^{T}.

Passo 4

Transpondo A, obtemos
A^{-1}=A^{T}= \begin{pmatrix} \tfrac{1}{\sqrt{3}} & \tfrac{1}{\sqrt{3}} & \tfrac{1}{\sqrt{3}}\\[6pt] -\tfrac{2}{\sqrt{6}} & \tfrac{1}{\sqrt{6}} & \tfrac{1}{\sqrt{6}}\\[6pt] 0 & -\tfrac{1}{\sqrt{2}} & \tfrac{1}{\sqrt{2}} \end{pmatrix}.]

Resposta

A^{-1}= \begin{pmatrix} \tfrac{1}{\sqrt{3}} & \tfrac{1}{\sqrt{3}} & \tfrac{1}{\sqrt{3}}\\[6pt] -\tfrac{2}{\sqrt{6}} & \tfrac{1}{\sqrt{6}} & \tfrac{1}{\sqrt{6}}\\[6pt] 0 & -\tfrac{1}{\sqrt{2}} & \tfrac{1}{\sqrt{2}} \end{pmatrix}.]

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