Answer on Question #45231 - Math - Matrix - Tensor Analysis
1) M = [ [ − 2 , 1 , 0 ] , [ − 11 , 4 , 1 ] , [ − 18 , 6 , 1 ] ] M = [[-2,1,0], [-11,4,1], [-18,6,1]] M = [[ − 2 , 1 , 0 ] , [ − 11 , 4 , 1 ] , [ − 18 , 6 , 1 ]]
a) solve the equation M ( [ x ] , [ y ] , [ z ] ) = 3 ( [ x ] , [ y ] , [ z ] ) M([x], [y], [z]) = 3([x], [y], [z]) M ([ x ] , [ y ] , [ z ]) = 3 ([ x ] , [ y ] , [ z ])
b) solve the equation M ( [ x ] , [ y ] , [ z ] ) = 4 ( [ x ] , [ y ] , [ z ] ) M([x], [y], [z]) = 4([x], [y], [z]) M ([ x ] , [ y ] , [ z ]) = 4 ([ x ] , [ y ] , [ z ])
Solution
a)
{ ( − 2 − 3 ) x + y + 0 ⋅ z = 0 − 11 x + ( 4 − 3 ) y + 1 ⋅ z = 0 − 18 x + 6 y + ( 1 − 3 ) ⋅ z = 0 ⟶ { ( − 5 ) x + y = 0 − 11 x + y + 1 ⋅ z = 0 − 18 x + 6 y + ( − 2 ) ⋅ z = 0 \left\{
\begin{array}{l}
(-2 - 3)x + y + 0 \cdot z = 0 \\
-11x + (4 - 3)y + 1 \cdot z = 0 \\
-18x + 6y + (1 - 3) \cdot z = 0
\end{array}
\right.
\longrightarrow
\left\{
\begin{array}{l}
(-5)x + y = 0 \\
-11x + y + 1 \cdot z = 0 \\
-18x + 6y + (-2) \cdot z = 0
\end{array}
\right. ⎩ ⎨ ⎧ ( − 2 − 3 ) x + y + 0 ⋅ z = 0 − 11 x + ( 4 − 3 ) y + 1 ⋅ z = 0 − 18 x + 6 y + ( 1 − 3 ) ⋅ z = 0 ⟶ ⎩ ⎨ ⎧ ( − 5 ) x + y = 0 − 11 x + y + 1 ⋅ z = 0 − 18 x + 6 y + ( − 2 ) ⋅ z = 0 y = 5 x y = 5x y = 5 x − 11 x + 5 x + 1 ⋅ z = 0 → z = 6 x -11x + 5x + 1 \cdot z = 0 \rightarrow z = 6x − 11 x + 5 x + 1 ⋅ z = 0 → z = 6 x − 18 x + 6 ⋅ 5 x + ( − 2 ) ⋅ 6 x = 0 → 0 ⋅ x = 0 → x = t , t ∈ R . -18x + 6 \cdot 5x + (-2) \cdot 6x = 0 \rightarrow 0 \cdot x = 0 \rightarrow x = t, t \in \mathbb{R}. − 18 x + 6 ⋅ 5 x + ( − 2 ) ⋅ 6 x = 0 → 0 ⋅ x = 0 → x = t , t ∈ R .
So
( x y z ) = t ( 1 5 6 ) . \left( \begin{array}{c}
x \\
y \\
z
\end{array} \right) = t \left( \begin{array}{c}
1 \\
5 \\
6
\end{array} \right). ⎝ ⎛ x y z ⎠ ⎞ = t ⎝ ⎛ 1 5 6 ⎠ ⎞ .
b)
{ ( − 2 − 4 ) x + y + 0 ⋅ z = 0 − 11 x + ( 4 − 4 ) y + 1 ⋅ z = 0 − 18 x + 6 y + ( 1 − 4 ) ⋅ z = 0 → { ( − 6 ) x + y = 0 − 11 x + 1 ⋅ z = 0 − 18 x + 6 y + ( − 3 ) ⋅ z = 0 \left\{
\begin{array}{l}
(-2 - 4)x + y + 0 \cdot z = 0 \\
-11x + (4 - 4)y + 1 \cdot z = 0 \\
-18x + 6y + (1 - 4) \cdot z = 0
\end{array}
\right.
\rightarrow
\left\{
\begin{array}{l}
(-6)x + y = 0 \\
-11x + 1 \cdot z = 0 \\
-18x + 6y + (-3) \cdot z = 0
\end{array}
\right. ⎩ ⎨ ⎧ ( − 2 − 4 ) x + y + 0 ⋅ z = 0 − 11 x + ( 4 − 4 ) y + 1 ⋅ z = 0 − 18 x + 6 y + ( 1 − 4 ) ⋅ z = 0 → ⎩ ⎨ ⎧ ( − 6 ) x + y = 0 − 11 x + 1 ⋅ z = 0 − 18 x + 6 y + ( − 3 ) ⋅ z = 0 y = 6 x y = 6x y = 6 x z = 11 x z = 11x z = 11 x − 18 x + 6 ⋅ 6 x + ( − 3 ) ⋅ 11 x = 0 → − 15 x = 0 → x = 0. -18x + 6 \cdot 6x + (-3) \cdot 11x = 0 \rightarrow -15x = 0 \rightarrow x = 0. − 18 x + 6 ⋅ 6 x + ( − 3 ) ⋅ 11 x = 0 → − 15 x = 0 → x = 0. ( x y z ) = ( 0 0 0 ) . \left( \begin{array}{c}
x \\
y \\
z
\end{array} \right) = \left( \begin{array}{c}
0 \\
0 \\
0
\end{array} \right). ⎝ ⎛ x y z ⎠ ⎞ = ⎝ ⎛ 0 0 0 ⎠ ⎞ .
2) A matrix S S S has eigenvalues 2, -3 and 5 with corresponding eigenvectors v 1 = [ [ 1 ] , [ − 3 ] , [ − 2 ] ] , v 2 = [ [ − 2 ] , [ 7 ] , [ 5 ] ] v1 = [[1], [-3], [-2]], v2 = [[-2], [7], [5]] v 1 = [[ 1 ] , [ − 3 ] , [ − 2 ]] , v 2 = [[ − 2 ] , [ 7 ] , [ 5 ]] and v 3 = [ [ 0 ] , [ 0 ] , [ 1 ] ] v3 = [[0], [0], [1]] v 3 = [[ 0 ] , [ 0 ] , [ 1 ]] respectively.
a) write down the values of Sv1, Sv2 and Sv3.
b) evaluate S [ [ 0 ] , [ 1 ] , [ 0 ] ] S[[0], [1], [0]] S [[ 0 ] , [ 1 ] , [ 0 ]]
d) hence or otherwise find matrix S
Solution
a)
S v 1 = 2 v 1 = 2 ( 1 − 3 − 2 ) = ( 2 − 6 − 4 ) Sv_1 = 2v_1 = 2 \left( \begin{array}{c}
1 \\
-3 \\
-2
\end{array} \right) = \left( \begin{array}{c}
2 \\
-6 \\
-4
\end{array} \right) S v 1 = 2 v 1 = 2 ⎝ ⎛ 1 − 3 − 2 ⎠ ⎞ = ⎝ ⎛ 2 − 6 − 4 ⎠ ⎞ S v 2 = − 3 v 2 = − 3 ( − 2 7 ) = ( 6 − 21 ) S v 3 = 5 v 3 = 5 ( 0 0 ) = ( 0 0 ) \begin{array}{l}
\mathrm{S v}_{2} = -3 v_{2} = -3 \binom{-2}{7} = \binom{6}{-21} \\
\mathrm{S v}_{3} = 5 v_{3} = 5 \binom{0}{0} = \binom{0}{0} \\
\end{array} Sv 2 = − 3 v 2 = − 3 ( 7 − 2 ) = ( − 21 6 ) Sv 3 = 5 v 3 = 5 ( 0 0 ) = ( 0 0 )
b)
( 0 1 ) = a ( 1 − 3 ) + b ( − 2 7 ) + c ( 0 0 ) → \binom{0}{1} = a \binom{1}{-3} + b \binom{-2}{7} + c \binom{0}{0} \rightarrow ( 1 0 ) = a ( − 3 1 ) + b ( 7 − 2 ) + c ( 0 0 ) → 2 a = b ; − 3 a + 7 ⋅ 2 a = 1 → a = 1 11 , b = 2 11 ; − 2 ⋅ 1 11 + 2 11 ⋅ 5 + c = 0 → c = − 4 11 . 2a = b; \quad -3a + 7 \cdot 2a = 1 \rightarrow a = \frac{1}{11}, \quad b = \frac{2}{11}; \quad -2 \cdot \frac{1}{11} + \frac{2}{11} \cdot 5 + c = 0 \rightarrow c = -\frac{4}{11}. 2 a = b ; − 3 a + 7 ⋅ 2 a = 1 → a = 11 1 , b = 11 2 ; − 2 ⋅ 11 1 + 11 2 ⋅ 5 + c = 0 → c = − 11 4 .
So
( 0 1 ) = 1 11 ( 1 − 3 ) + 2 11 ( − 2 7 ) − 4 11 ( 0 0 ) = 1 11 v 1 + 2 11 v 2 − 4 11 v 3 . \binom{0}{1} = \frac{1}{11} \binom{1}{-3} + \frac{2}{11} \binom{-2}{7} - \frac{4}{11} \binom{0}{0} = \frac{1}{11} v_{1} + \frac{2}{11} v_{2} - \frac{4}{11} v_{3}. ( 1 0 ) = 11 1 ( − 3 1 ) + 11 2 ( 7 − 2 ) − 11 4 ( 0 0 ) = 11 1 v 1 + 11 2 v 2 − 11 4 v 3 . S ( 0 1 ) = S ( 1 11 v 1 + 2 11 v 2 − 4 11 v 3 ) = 1 11 S v 1 + 2 11 S v 2 − 4 11 S v 3 = 1 11 ( 2 − 6 ) + 2 11 ( 6 − 21 ) − 4 11 ( 0 0 ) . S \binom{0}{1} = S \left( \frac{1}{11} v_{1} + \frac{2}{11} v_{2} - \frac{4}{11} v_{3} \right) = \frac{1}{11} \mathrm{S v}_{1} + \frac{2}{11} \mathrm{S v}_{2} - \frac{4}{11} \mathrm{S v}_{3} = \frac{1}{11} \binom{2}{-6} + \frac{2}{11} \binom{6}{-21} - \frac{4}{11} \binom{0}{0}. S ( 1 0 ) = S ( 11 1 v 1 + 11 2 v 2 − 11 4 v 3 ) = 11 1 Sv 1 + 11 2 Sv 2 − 11 4 Sv 3 = 11 1 ( − 6 2 ) + 11 2 ( − 21 6 ) − 11 4 ( 0 0 ) . S ( 0 1 ) = 1 11 ( 2 + 2 ⋅ 6 − 4 ⋅ 0 − 6 + 2 ⋅ ( − 21 ) − 4 ⋅ 0 ) = 1 11 ( 14 − 48 ) . S \binom{0}{1} = \frac{1}{11} \binom{2 + 2 \cdot 6 - 4 \cdot 0}{-6 + 2 \cdot (-21) - 4 \cdot 0} = \frac{1}{11} \binom{14}{-48}. S ( 1 0 ) = 11 1 ( − 6 + 2 ⋅ ( − 21 ) − 4 ⋅ 0 2 + 2 ⋅ 6 − 4 ⋅ 0 ) = 11 1 ( − 48 14 ) .
d) We need to find S ( 1 0 ) S \binom{1}{0} S ( 0 1 ) .
( 1 0 ) = d ( 1 − 3 ) + e ( − 2 7 ) + f ( 0 0 ) → \binom{1}{0} = d \binom{1}{-3} + e \binom{-2}{7} + f \binom{0}{0} \rightarrow ( 0 1 ) = d ( − 3 1 ) + e ( 7 − 2 ) + f ( 0 0 ) → 7 e = 3 d → e = 3 7 d ; d − 2 ⋅ 3 7 d = 1 → d = 7 , e = 3 ; − 2 ⋅ 7 + 5 ⋅ 3 + f = 0 → f = − 1. 7e = 3d \rightarrow e = \frac{3}{7} d; \quad d - 2 \cdot \frac{3}{7} d = 1 \rightarrow d = 7, \quad e = 3; \quad -2 \cdot 7 + 5 \cdot 3 + f = 0 \rightarrow f = -1. 7 e = 3 d → e = 7 3 d ; d − 2 ⋅ 7 3 d = 1 → d = 7 , e = 3 ; − 2 ⋅ 7 + 5 ⋅ 3 + f = 0 → f = − 1. ( 1 0 ) = 7 v 1 + 3 v 2 − v 3 . \binom{1}{0} = 7 v_{1} + 3 v_{2} - v_{3}. ( 0 1 ) = 7 v 1 + 3 v 2 − v 3 . S ( 1 0 ) = S ( 7 v 1 + 3 v 2 − v 3 ) = 7 S v 1 + 3 S v 2 − S v 3 = 7 ( 2 − 6 ) + 3 ( 6 − 21 ) − ( 0 0 ) = ( 32 − 105 ) − 78. S \binom{1}{0} = S (7 v_{1} + 3 v_{2} - v_{3}) = 7 S v_{1} + 3 S v_{2} - S v_{3} = 7 \binom{2}{-6} + 3 \binom{6}{-21} - \binom{0}{0} = \binom{32}{-105} - 78. S ( 0 1 ) = S ( 7 v 1 + 3 v 2 − v 3 ) = 7 S v 1 + 3 S v 2 − S v 3 = 7 ( − 6 2 ) + 3 ( − 21 6 ) − ( 0 0 ) = ( − 105 32 ) − 78.
The rows of S S S are transposed vectors S ( 1 0 ) , S ( 0 1 ) S \binom{1}{0}, S \binom{0}{1} S ( 0 1 ) , S ( 1 0 ) and S ( 0 0 ) S \binom{0}{0} S ( 0 0 ) .
The matrix S S S is
S = ( 32 − 105 − 78 14 11 − 48 11 − 54 11 0 0 5 ) . S = \begin{pmatrix}
32 & -105 & -78 \\
\frac{14}{11} & -\frac{48}{11} & -\frac{54}{11} \\
0 & 0 & 5
\end{pmatrix}. S = ⎝ ⎛ 32 11 14 0 − 105 − 11 48 0 − 78 − 11 54 5 ⎠ ⎞ .
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