Question #27049

1)Let V= R3. Show that W is a subspace of V where W = {(a, b, 0): a, b ϵ R}, i.e. W is the xy plane consisting of those vectors whose third component is 0.

2)Let V= R3. Show that W is not a subspace of V where W = {(a, b, c): a, b, c ϵ Q}, i.e. W consists of those vectors whose components are rational numbers.

3)Determine whether the vectors v1 = (2, -1, 3), v2 = (4, 1, 2) and v3 = (8, -1, 8) span R3.

4)Use system of linear equations form and row echelon form to show that the vectors (2, -1, 4), (3, 6, 2) and (2, 10, -4) are linearly independent.

Expert's answer

1) Let V=R3V = R3 . Show that WW is a subspace of VV where W={(a,b,0):a,bR}W = \{(a, b, 0) : a, b \in R\} , i.e. WW is the xy plane consisting of those vectors whose third component is 0.

2) Let V=R3V = R3 . Show that WW is not a subspace of VV where W={(a,b,c):a,b,cQ}W = \{(a, b, c) : a, b, c \in Q\} , i.e. WW consists of those vectors whose components are rational numbers.

3) Determine whether the vectors v1=(2,1,3)v1 = (2, -1, 3) , v2=(4,1,2)v2 = (4, 1, 2) and v3=(8,1,8)v3 = (8, -1, 8) span R3.

4) Use system of linear equations form and row echelon form to show that the vectors (2,1,4)(2, -1, 4) , (3,6,2)(3, 6, 2) and (2,10,4)(2, 10, -4) are linearly independent.

Solution.

1) WW is a subspace of R3\pmb{R}^3 .

For proving this fact it is necessary to show that for any ν1=(x1,y1,0)\nu_{1} = (x1, y1, 0) and ν2=(x2,y2,0)\nu_{2} = (x2, y2, 0) belonging to WW and any a1,a2Ra1, a2 \in R their linear combination a1ν1+a2ν2Wa1^{*}\nu_{1} + a2^{*}\nu_{2} \in W . We have a1(x1,y1,0)+a2(x2,y2,0)=(a1x1+a2x2,a1y1+a2y2,0)Wa1^{*}(x1, y1, 0) + a2^{*}(x2, y2, 0) = (a1^{*}x1 + a2^{*}x2, a1^{*}y1 + a2^{*}y2, 0) \in W . Q.E.D.

2) The set W={(a,b,c,):a,b,c,Q}W = \{(a, b, c,): a, b, c, \in Q\} is not a subspace over the set real numbers as, for example,


2(a,b,c)=(2a,2b,2c)W,\sqrt {2} (a, b, c) = (\sqrt {2} a, \sqrt {2} b, \sqrt {2} c) \notin W,


as 2a,2b,2cQ\sqrt{2} a, \sqrt{2} b, \sqrt{2} c \notin Q .

3) Vectors ν1,ν2,ν3\nu_{1}, \nu_{2}, \nu_{3} form a spanning set of R3R^3 if any vector νR3\nu \in R^3 may be represented as a linear combination of ν1,ν2,ν3\nu_{1}, \nu_{2}, \nu_{3} . This can be done always if a determinant formed by the vectors ν1,ν2,ν3\nu_{1}, \nu_{2}, \nu_{3} is not equal to zero. So, consider


det=248111328\det = \left| \begin{array}{c c c} 2 & 4 & 8 \\ - 1 & 1 & - 1 \\ 3 & 2 & 8 \end{array} \right|


and using Leibniz formula, for example, we have det=16121624+4+32=0\det = 16 - 12 - 16 - 24 + 4 + 32 = 0 . The given vectors do not form a spanning set of R3R^3 .

4) Consider a system


x(2,1,4)+y(3,6,2)+z(2,10,4)=0x (2, - 1, 4) + y (3, 6, 2) + z (2, 1 0, - 4) = 0


or


2x+3y+2z=0x+6y+10z=0.4x+2y4z=0\begin{array}{l} 2 x + 3 y + 2 z = 0 \\ - x + 6 y + 1 0 z = 0. \\ 4 x + 2 y - 4 z = 0 \\ \end{array}


It has only trivial solution if its determinant equals zero. So, forming and computing determinant we have


det=2321610424=48+1204484012=320.\det = \left| \begin{array}{ccc} 2 & 3 & 2 \\ -1 & 6 & 10 \\ 4 & 2 & -4 \end{array} \right| = -48 + 120 - 4 - 48 - 40 - 12 = -32 \neq 0.


Hence the given vectors are linear independent.

Do the same using row echelon form. With the help of Gaussian elimination we get


2320161016100232424000016100161001522001522026360000x=y=z=0\left| \begin{array}{cccccc} 2 & 3 & 2 & 0 & -1 & 6 & 10 \\ -1 & 6 & 10 & 0 & \rightarrow & 2 & 3 & 2 \\ 4 & 2 & -4 & 0 & \end{array} \right| \begin{array}{c} 0 \\ 0 \\ 0 \end{array} \rightarrow \left| \begin{array}{cccccc} -1 & 6 & 10 & 0 & -1 & 6 & 10 \\ 0 & 15 & 22 & 0 & \rightarrow & 0 & 15 & 22 \\ 0 & 26 & 36 & 0 & \end{array} \right| \begin{array}{c} 0 \\ 0 \\ 0 \end{array} \Rightarrow x = y = z = 0


and vectors are linear independent.

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