(a) i.
( 1 , 0 , 0 ) = c 1 ( 1 , 2 , − 1 ) + c 2 ( 0 , 1 , 1 ) + c 3 ( 3 , 3 , 3 ) (1, 0, 0)=c_1(1, 2, −1)+c_2(0, 1, 1)+c_3(3, 3, 3) ( 1 , 0 , 0 ) = c 1 ( 1 , 2 , − 1 ) + c 2 ( 0 , 1 , 1 ) + c 3 ( 3 , 3 , 3 )
c 1 + 3 c 3 = 1 c_1+3c_3=1 c 1 + 3 c 3 = 1 2 c 1 + c 2 + 3 c 3 = 0 2c_1+c_2+3c_3=0 2 c 1 + c 2 + 3 c 3 = 0 − c 1 + c 2 + 3 c 3 = 0 -c_1+c_2+3c_3=0 − c 1 + c 2 + 3 c 3 = 0
c 1 + 3 c 3 = 1 c_1+3c_3=1 c 1 + 3 c 3 = 1 3 c 1 = 0 3c_1=0 3 c 1 = 0 − c 1 + c 2 + 3 c 3 = 0 -c_1+c_2+3c_3=0 − c 1 + c 2 + 3 c 3 = 0
c 1 = 0 c_1=0 c 1 = 0 c 2 = − 1 c_2=-1 c 2 = − 1 c 3 = 1 3 c_3={1\over 3} c 3 = 3 1
( 1 , 0 , 0 ) = ( 0 ) ( 1 , 2 , − 1 ) + ( − 1 ) ( 0 , 1 , 1 ) + ( 1 3 ) ( 3 , 3 , 3 ) (1, 0, 0)=(0)(1, 2, −1)+(-1)(0, 1, 1)+({1\over 3})(3, 3, 3) ( 1 , 0 , 0 ) = ( 0 ) ( 1 , 2 , − 1 ) + ( − 1 ) ( 0 , 1 , 1 ) + ( 3 1 ) ( 3 , 3 , 3 ) ii.
v = ( 0 ) ( 1 , 1 , 0 ) + ( − 1 ) ( 1 , 0 , − 1 ) + ( 1 3 ) ( 0 , − 1 , 1 ) \text{v}=(0)(1, 1, 0)+(-1)(1, 0, -1)+({1\over 3})(0, -1, 1) v = ( 0 ) ( 1 , 1 , 0 ) + ( − 1 ) ( 1 , 0 , − 1 ) + ( 3 1 ) ( 0 , − 1 , 1 )
v = ( − 1 , − 1 3 , 4 3 ) \text{v}=(-1, -{1\over 3}, {4\over 3}) v = ( − 1 , − 3 1 , 3 4 ) (b) i.
β ( ( a , b , c ) ) = ( a + b + c , − a − c , b ) β((a, b, c)) = (a + b + c, −a − c, b) β (( a , b , c )) = ( a + b + c , − a − c , b ) Let x = ( a 1 , b 1 , c 1 ) , y = ( a 2 , b 2 , c 2 ) , a 1 , b 1 , c 1 , a 2 , b 2 , c 2 ∈ R \text{x}=(a_1, b_1,c_1), \text{y}=(a_2, b_2,c_2), a_1, b_1,c_1,a_2, b_2,c_2\in \R x = ( a 1 , b 1 , c 1 ) , y = ( a 2 , b 2 , c 2 ) , a 1 , b 1 , c 1 , a 2 , b 2 , c 2 ∈ R
β ( x + y ) = β ( ( a 1 , b 1 , c 1 ) + ( a 2 , b 2 , c 2 ) ) = \beta(\text{x}+\text{y})=\beta((a_1, b_1,c_1)+(a_2, b_2,c_2))= β ( x + y ) = β (( a 1 , b 1 , c 1 ) + ( a 2 , b 2 , c 2 )) =
= β ( ( a 1 + a 2 , b 1 + b 2 , c 1 + c 2 ) = =\beta((a_1+a_2, b_1+b_2,c_1+c_2)= = β (( a 1 + a 2 , b 1 + b 2 , c 1 + c 2 ) =
= ( a 1 + a 2 + b 1 + b 2 + c 1 + c 2 , − ( a 1 + a 2 ) − ( c 1 + c 2 ) , b 1 + b 2 ) = =(a_1+a_2+b_1+b_2+c_1+c_2, -(a_1+a_2)-(c_1+c_2), b_1+b_2)= = ( a 1 + a 2 + b 1 + b 2 + c 1 + c 2 , − ( a 1 + a 2 ) − ( c 1 + c 2 ) , b 1 + b 2 ) =
= ( a 1 + b 1 + c 1 , − a 1 − c 1 , b 1 ) + ( a 2 + b 2 + c 2 , − a 2 − c 2 , b 2 ) = =(a_1+b_1+c_1, -a_1-c_1,b_1)+(a_2+b_2+c_2,-a_2-c_2,b_2)= = ( a 1 + b 1 + c 1 , − a 1 − c 1 , b 1 ) + ( a 2 + b 2 + c 2 , − a 2 − c 2 , b 2 ) =
= β ( ( a 1 , b 1 , c 1 ) ) + β ( ( a 2 , b 2 , c 2 ) ) = β ( x ) + β ( y ) =\beta((a_1, b_1, c_1))+\beta((a_2, b_2, c_2))=\beta(\text{x})+\beta(\text{y}) = β (( a 1 , b 1 , c 1 )) + β (( a 2 , b 2 , c 2 )) = β ( x ) + β ( y )
Let r ∈ R r\in \R r ∈ R
β ( r x ) = β ( r ( a 1 , b 1 , c 1 ) ) = β ( ( r a 1 , r b 1 , r c 1 ) ) = \beta(r\text{x})=\beta(r(a_1, b_1,c_1))=\beta((ra_1, rb_1,rc_1))= β ( r x ) = β ( r ( a 1 , b 1 , c 1 )) = β (( r a 1 , r b 1 , r c 1 )) =
= ( r a 1 + r b 1 + r c 1 , − r a 1 − r c 1 , r b 1 ) = =(ra_1+rb_1+rc_1, -ra_1-rc_1,rb_1)= = ( r a 1 + r b 1 + r c 1 , − r a 1 − r c 1 , r b 1 ) =
= r ( a 1 + b 1 + c 1 , − a 1 − c 1 , b 1 ) = r β ( x ) =r(a_1+b_1+c_1, -a_1-c_1,b_1)=r\beta(\text{x}) = r ( a 1 + b 1 + c 1 , − a 1 − c 1 , b 1 ) = r β ( x ) Therefore β \beta β is a linear transformation.
ii.
System of linear equations associated to the implicit equations of the kernel, resulting from equalling to zero the components of the linear transformation formula.
a + b + c = 0 a+b+c=0 a + b + c = 0 − a − c = 0 -a-c=0 − a − c = 0 b = 0 b=0 b = 0 The system has infinitely many solutions:
a = − c a=-c a = − c b = 0 b=0 b = 0 c = a r b i t r a r y c=arbitrary c = a r bi t r a ry
A = ( 1 1 1 − 1 0 − 1 0 1 0 ) A=\begin{pmatrix}
1 & 1 & 1 \\
-1 & 0 & -1 \\
0 & 1 & 0
\end{pmatrix} A = ⎝ ⎛ 1 − 1 0 1 0 1 1 − 1 0 ⎠ ⎞
( 1 1 1 − 1 0 − 1 0 1 0 ) ↦ R 2 = R 2 + R 1 ( 1 1 1 0 1 0 0 1 0 ) \begin{pmatrix}
1 & 1 & 1 \\
-1 & 0 & -1 \\
0 & 1 & 0
\end{pmatrix}\xmapsto{R_2=R_2+R_1}\begin{pmatrix}
1 & 1 & 1 \\
0 & 1 & 0 \\
0 & 1 & 0
\end{pmatrix} ⎝ ⎛ 1 − 1 0 1 0 1 1 − 1 0 ⎠ ⎞ R 2 = R 2 + R 1 ⎝ ⎛ 1 0 0 1 1 1 1 0 0 ⎠ ⎞
( 1 1 1 0 1 0 0 1 0 ) ↦ R 3 = R 3 − R 2 ( 1 1 1 0 1 0 0 0 0 ) \begin{pmatrix}
1 & 1 & 1 \\
0 & 1 & 0 \\
0 & 1 & 0
\end{pmatrix}\xmapsto{R_3=R_3-R_2}\begin{pmatrix}
1 & 1 & 1 \\
0 & 1 & 0 \\
0 & 0 & 0
\end{pmatrix} ⎝ ⎛ 1 0 0 1 1 1 1 0 0 ⎠ ⎞ R 3 = R 3 − R 2 ⎝ ⎛ 1 0 0 1 1 0 1 0 0 ⎠ ⎞
( 1 1 1 0 1 0 0 0 0 ) ↦ R 1 = R 1 − R 2 ( 1 0 1 0 1 0 0 0 0 ) \begin{pmatrix}
1 & 1 & 1 \\
0 & 1 & 0 \\
0 & 0 & 0
\end{pmatrix}\xmapsto{R_1=R_1-R_2}\begin{pmatrix}
1 & 0 & 1 \\
0 & 1 & 0 \\
0 & 0 & 0
\end{pmatrix} ⎝ ⎛ 1 0 0 1 1 0 1 0 0 ⎠ ⎞ R 1 = R 1 − R 2 ⎝ ⎛ 1 0 0 0 1 0 1 0 0 ⎠ ⎞
The solution can be written in the vector form:
( a b c ) = ( − 1 0 1 ) c \begin{pmatrix}
a \\
b \\
c
\end{pmatrix}=\begin{pmatrix}
-1 \\
0 \\
1
\end{pmatrix}c ⎝ ⎛ a b c ⎠ ⎞ = ⎝ ⎛ − 1 0 1 ⎠ ⎞ c Therefore the kernel of β \beta β has a basis formed by the set
{ ( − 1 0 1 ) } \bigg\{\begin{pmatrix}
-1 \\
0 \\
1
\end{pmatrix}\bigg\} { ⎝ ⎛ − 1 0 1 ⎠ ⎞ }