Question #81486

Find the orthogonal canonical reduction of the quadratic form
x
2 +y
2 +z
2 −2xy−2xz−2yz. Also, find its principal axes.

Expert's answer

Answer on Question #81486 – Math – Linear Algebra

Question

Find the orthogonal canonical reduction of the quadratic form


x2+y2+z22xy2xz2yzx^{2} + y^{2} + z^{2} - 2xy - 2xz - 2yz


Also, find its principal axes.

Solution


q=x2+y2+z22xy2xz2yzq = x^{2} + y^{2} + z^{2} - 2xy - 2xz - 2yz


Matrix of quadratic form


A=(111111111)A = \begin{pmatrix} 1 & -1 & -1 \\ -1 & 1 & -1 \\ -1 & -1 & 1 \end{pmatrix}q=(xyz)(111111111)(xyz)q = \begin{pmatrix} x & y & z \end{pmatrix} \begin{pmatrix} 1 & -1 & -1 \\ -1 & 1 & -1 \\ -1 & -1 & 1 \end{pmatrix} \begin{pmatrix} x \\ y \\ z \end{pmatrix}(1λ1111λ1111λ)\begin{pmatrix} 1 - \lambda & -1 & -1 \\ -1 & 1 - \lambda & -1 \\ -1 & -1 & 1 - \lambda \end{pmatrix}


Characteristic equation


1λ1111λ1111λ=0\begin{vmatrix} 1 - \lambda & -1 & -1 \\ -1 & 1 - \lambda & -1 \\ -1 & -1 & 1 - \lambda \end{vmatrix} = 0(1λ)1λ1111λ(1)11111λ+(1)11λ11=0(1 - \lambda) \begin{vmatrix} 1 - \lambda & -1 & -1 \\ -1 & 1 - \lambda \end{vmatrix} - (-1) \begin{vmatrix} -1 & -1 & 1 \\ -1 & 1 - \lambda \end{vmatrix} + (-1) \begin{vmatrix} -1 & 1 - \lambda \\ -1 & -1 \end{vmatrix} = 0(1λ)(12λ+λ21)+(1+λ1)(1+1λ)=0(1 - \lambda)(1 - 2\lambda + \lambda^{2} - 1) + (-1 + \lambda - 1) - (1 + 1 - \lambda) = 02λ+λ2+2λ2λ32+λ2+λ=0-2\lambda + \lambda^{2} + 2\lambda^{2} - \lambda^{3} - 2 + \lambda - 2 + \lambda = 0λ3+3λ24=0- \lambda^{3} + 3 \lambda^{2} - 4 = 0(1+λ)λ2+4(λ21)=0-(1 + \lambda) \lambda^{2} + 4 (\lambda^{2} - 1) = 0(1+λ)(λ24λ+4)=0-(1 + \lambda) (\lambda^{2} - 4\lambda + 4) = 0(1+λ)(λ2)2=0-(1 + \lambda) (\lambda - 2)^{2} = 0λ1=2\lambda_{1} = 2λ2=2\lambda_{2} = 2λ3=1\lambda_{3} = -1


These are eigenvalues.

Find the eigenvectors


λ=2\lambda = 2(1λ1111λ1111λ)=(111111111)\left( \begin{array}{cccc} 1 - \lambda & -1 & -1 \\ -1 & 1 - \lambda & -1 \\ -1 & -1 & 1 - \lambda \end{array} \right) = \left( \begin{array}{cccc} -1 & -1 & -1 \\ -1 & -1 & -1 \\ -1 & -1 & -1 \end{array} \right)(111111111)R2R1(111000111)\left( \begin{array}{cccc} -1 & -1 & -1 \\ -1 & -1 & -1 \\ -1 & -1 & -1 \end{array} \right) \xrightarrow{R_2 - R_1} \left( \begin{array}{cccc} -1 & -1 & -1 \\ 0 & 0 & 0 \\ -1 & -1 & -1 \end{array} \right)(111000111)R3R1(111000000)\left( \begin{array}{cccc} -1 & -1 & -1 \\ 0 & 0 & 0 \\ -1 & -1 & -1 \end{array} \right) \xrightarrow{R_3 - R_1} \left( \begin{array}{cccc} -1 & -1 & -1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array} \right)(111000000)(1)R1(111000000)\left( \begin{array}{cccc} -1 & -1 & -1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array} \right) \xrightarrow{(-1)R_1} \left( \begin{array}{ccc} 1 & 1 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array} \right)


Solve the matrix equation


(111000000)(v1v2v3)=(000)\left( \begin{array}{ccc} 1 & 1 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array} \right) \left( \begin{array}{c} v_1 \\ v_2 \\ v_3 \end{array} \right) = \left( \begin{array}{c} 0 \\ 0 \\ 0 \end{array} \right)


If we take v2=t,v3=sv_2 = t, v_3 = s then v1=tsv_1 = -t - s.

Therefore,


v=(tsts)=(110)t+(101)s\mathbf{v} = \left( \begin{array}{c} -t - s \\ t \\ s \end{array} \right) = \left( \begin{array}{c} -1 \\ 1 \\ 0 \end{array} \right) t + \left( \begin{array}{c} -1 \\ 0 \\ 1 \end{array} \right) sλ=1\lambda = -1(1λ1111λ1111λ)=(211121112)\left( \begin{array}{cccc} 1 - \lambda & -1 & -1 \\ -1 & 1 - \lambda & -1 \\ -1 & -1 & 1 - \lambda \end{array} \right) = \left( \begin{array}{ccc} 2 & -1 & -1 \\ -1 & 2 & -1 \\ -1 & -1 & 2 \end{array} \right)(211121112)R2+(12)R1(21103/23/2112)\left( \begin{array}{cccc} 2 & -1 & -1 \\ -1 & 2 & -1 \\ -1 & -1 & 2 \end{array} \right) \xrightarrow{R_2 + \left( \frac{1}{2} \right) R_1} \left( \begin{array}{cccc} 2 & -1 & -1 \\ 0 & 3/2 & -3/2 \\ -1 & -1 & 2 \end{array} \right)(21103/23/2112)R3+(12)R1(21103/23/203/23/2)\left( \begin{array}{cccc} 2 & -1 & -1 \\ 0 & 3/2 & -3/2 \\ -1 & -1 & 2 \end{array} \right) \xrightarrow{R_3 + \left( \frac{1}{2} \right) R_1} \left( \begin{array}{cccc} 2 & -1 & -1 \\ 0 & 3/2 & -3/2 \\ 0 & -3/2 & 3/2 \end{array} \right)(21103/23/203/23/2)R3+R2(21103/23/2000)\left( \begin{array}{cccc} 2 & -1 & -1 \\ 0 & 3/2 & -3/2 \\ 0 & -3/2 & 3/2 \end{array} \right) \xrightarrow{R_3 + R_2} \left( \begin{array}{cccc} 2 & -1 & -1 \\ 0 & 3/2 & -3/2 \\ 0 & 0 & 0 \end{array} \right)(21103/23/2000)(23)R2(211011000)\left( \begin{array}{cccc} 2 & -1 & -1 \\ 0 & 3/2 & -3/2 \\ 0 & 0 & 0 \end{array} \right) \xrightarrow{\left( \begin{array}{c} 2 \\ 3 \end{array} \right) R_2} \left( \begin{array}{cccc} 2 & -1 & -1 \\ 0 & 1 & -1 \\ 0 & 0 & 0 \end{array} \right)(211011000)R1+R2(202011000)\begin{pmatrix} 2 & -1 & -1 \\ 0 & 1 & -1 \\ 0 & 0 & 0 \end{pmatrix} \xrightarrow{R_1 + R_2} \begin{pmatrix} 2 & 0 & -2 \\ 0 & 1 & -1 \\ 0 & 0 & 0 \end{pmatrix}(202011000)R1/2(101011000)\begin{pmatrix} 2 & 0 & -2 \\ 0 & 1 & -1 \\ 0 & 0 & 0 \end{pmatrix} \xrightarrow{R_1/2} \begin{pmatrix} 1 & 0 & -1 \\ 0 & 1 & -1 \\ 0 & 0 & 0 \end{pmatrix}


Solve the matrix equation


(101011000)(v1v2v3)=(000)\begin{pmatrix} 1 & 0 & -1 \\ 0 & 1 & -1 \\ 0 & 0 & 0 \end{pmatrix} \begin{pmatrix} v_1 \\ v_2 \\ v_3 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ 0 \end{pmatrix}


If we take v3=tv_3 = t then v1=t,v2=tv_1 = t, v_2 = t

Therefore,


v=(ttt)=(111)t\mathbf{v} = \begin{pmatrix} t \\ t \\ t \end{pmatrix} = \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix} t


Eigenvalue:2, eigenvectors: (110)\begin{pmatrix} -1 \\ 1 \\ 0 \end{pmatrix}, (101)\begin{pmatrix} -1 \\ 0 \\ 1 \end{pmatrix}

Eigenvalue: 1-1, eigenvector: (111)\begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix}

Thus, the orthogonal canonical reduction is


q=(xyz)(200020001)(xyz)=2(x)2+2(y)2(z)2q = \begin{pmatrix} x' & y' & z' \\ \end{pmatrix} \begin{pmatrix} 2 & 0 & 0 \\ 0 & 2 & 0 \\ 0 & 0 & -1 \end{pmatrix} \begin{pmatrix} x' \\ y' \\ z' \end{pmatrix} = 2(x')^2 + 2(y')^2 - (z')^2


The normed vector are principal axes


12(110),12(101), and 13(111).\frac{1}{\sqrt{2}} \begin{pmatrix} -1 \\ 1 \\ 0 \end{pmatrix}, \frac{1}{\sqrt{2}} \begin{pmatrix} -1 \\ 0 \\ 1 \end{pmatrix}, \text{ and } \frac{1}{\sqrt{3}} \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix}.


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