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Give a geometric description of Span \(\left\{ {{v_1},{v_2}} \right\}\) for the vectors in Exercise 16.

Short Answer

Expert verified

Span \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{v_2}} \right\}\) is a plane in \({\mathbb{R}^3}\) through the origin since the vectors \({{\mathop{\rm v}\nolimits} _1}\) and \({{\mathop{\rm v}\nolimits} _2}\) are not a multiple of each other.

Step by step solution

01

Take the vectors from exercise 16

\({{\mathop{\rm v}\nolimits} _1} = \left[ {\begin{array}{*{20}{c}}3\\0\\2\end{array}} \right]\)and \({v_2} = \left[ {\begin{array}{*{20}{c}}{ - 2}\\0\\3\end{array}} \right]\)

02

Write \({{\mathop{\rm v}\nolimits} _1}\) and \({{\mathop{\rm v}\nolimits} _2}\) in the linear combination

Thescalar multiple of a vector\({\mathop{\rm u}\nolimits} \)by real number\(c\)is the vector\(c{\mathop{\rm u}\nolimits} \)obtained by multiplying each entry in\({\mathop{\rm u}\nolimits} \)by\(c\).

The linear combination of two vectors\({{\mathop{\rm v}\nolimits} _1}\)and\({{\mathop{\rm v}\nolimits} _2}\)is a multiple of\({{\mathop{\rm v}\nolimits} _1}\). Span\(\left\{ {{v_1},...,{v_p}} \right\}\)contains every scalar multiple of\({{\mathop{\rm v}\nolimits} _1}\).

Write the vectors\({{\mathop{\rm v}\nolimits} _1}\)and\({{\mathop{\rm v}\nolimits} _2}\)in a linear combination

\(a{v_1} + b{v_2} = a\left[ {\begin{array}{*{20}{c}}3\\0\\2\end{array}} \right] + b\left[ {\begin{array}{*{20}{c}}{ - 2}\\0\\3\end{array}} \right]\)

03

Determine whether the vector \({{\mathop{\rm v}\nolimits} _2}\) is a multiple of \({{\mathop{\rm v}\nolimits} _1}\)

Suppose\({\mathop{\rm v}\nolimits} \)is a nonzero vector in\({\mathbb{R}^3}\), then, span\(\left\{ {\mathop{\rm v}\nolimits} \right\}\)is a set of all scalar multiples of\({\mathop{\rm v}\nolimits} \), which is the set of points on the line in\({\mathbb{R}^3}\)through\({\mathop{\rm v}\nolimits} \)and 0. If\({\mathop{\rm u}\nolimits} \)and\(v\)are nonzero vectors in\({\mathbb{R}^3}\), where\({\mathop{\rm v}\nolimits} \)is not a multiple of\({\mathop{\rm u}\nolimits} \), then span\(\left\{ {u,v} \right\}\)is the plane in\({\mathbb{R}^3}\)that contains\({\mathop{\rm u}\nolimits} ,v\)and origin 0. In particular, span\(\left\{ {{\rm{u,v}}} \right\}\)contains the line in\({\mathbb{R}^3}\)through\({\mathop{\rm u}\nolimits} \)and 0 and the line through \({\mathop{\rm v}\nolimits} \)and 0.

Vector \({{\mathop{\rm v}\nolimits} _2}\)is not a scalar multiple of \({{\mathop{\rm v}\nolimits} _1}\).

\(a{v_1} + b{v_2} = a\left[ {\begin{array}{*{20}{c}}3\\0\\2\end{array}} \right] + b\left[ {\begin{array}{*{20}{c}}{ - 2}\\0\\3\end{array}} \right]\)

04

Determine the geometric description of a span

Draw the graph of the geometric description of a span \({\mathbb{R}^3}\)

Span \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{v_2}} \right\}\) is a plane in \({\mathbb{R}^3}\) through the origin since the vectors \({{\mathop{\rm v}\nolimits} _1}\) and \({{\mathop{\rm v}\nolimits} _2}\) are not a multiple of each other. In conventional 3-space, every vector in the set has 0 as its second entry, and therefore resides in the xz-plane.

Therefore, span \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{v_2}} \right\}\) is a plane in \({\mathbb{R}^3}\) through the origin since the vectors \({{\mathop{\rm v}\nolimits} _1}\) and \({{\mathop{\rm v}\nolimits} _2}\) are not a multiple of each other.

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Most popular questions from this chapter

Let \(A = \left[ {\begin{array}{*{20}{c}}1&0&{ - 4}\\0&3&{ - 2}\\{ - 2}&6&3\end{array}} \right]\) and \(b = \left[ {\begin{array}{*{20}{c}}4\\1\\{ - 4}\end{array}} \right]\). Denote the columns of \(A\) by \({{\mathop{\rm a}\nolimits} _1},{a_2},{a_3}\) and let \(W = {\mathop{\rm Span}\nolimits} \left\{ {{a_1},{a_2},{a_3}} \right\}\).

  1. Is \(b\) in \(\left\{ {{a_1},{a_2},{a_3}} \right\}\)? How many vectors are in \(\left\{ {{a_1},{a_2},{a_3}} \right\}\)?
  2. Is \(b\) in \(W\)? How many vectors are in W.
  3. Show that \({a_1}\) is in W.[Hint: Row operations are unnecessary.]

Rewrite the (numerical) matrix equation below in symbolic form as a vector equation, using symbols \({{\bf{v}}_1},{{\bf{v}}_2},{{\bf{v}}_3},...\) for the vectors and \({c_1},{c_2},...\) for scalars. Define what each symbol represents, using the data given in the matrix equation.

\(\left( {\begin{array}{*{20}{c}}{ - 3}&5&{ - 4}&9&7\\5&8&1&{ - 2}&{ - 4}\end{array}} \right)\left( {\begin{array}{*{20}{c}}{ - 3}\\2\\4\\{ - 1}\\2\end{array}} \right) = \left( {\begin{array}{*{20}{c}}8\\{ - 1}\end{array}} \right)\)

Suppose the coefficient matrix of a system of linear equations has a pivot position in every row. Explain why the system is consistent.

In Exercises 13 and 14, determine if \(b\) is a linear combination of the vectors formed from the columns of the matrix \(A\).

13. \(A = \left[ {\begin{array}{*{20}{c}}1&{ - 4}&2\\0&3&5\\{ - 2}&8&{ - 4}\end{array}} \right],{\mathop{\rm b}\nolimits} = \left[ {\begin{array}{*{20}{c}}3\\{ - 7}\\{ - 3}\end{array}} \right]\)

Use Theorem 7 in section 1.7 to explain why the columns of the matrix Aare linearly independent.

\(A = \left( {\begin{aligned}{*{20}{c}}1&0&0&0\\2&5&0&0\\3&6&8&0\\4&7&9&{10}\end{aligned}} \right)\)

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