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Let \({{\bf{u}}_{\bf{1}}} = \left[ {\begin{array}{*{20}{c}}{ - {\bf{2}}}\\{\bf{4}}\\{ - {\bf{6}}}\end{array}} \right]\), \({{\bf{u}}_{\bf{2}}} = \left[ {\begin{array}{*{20}{c}}{\bf{1}}\\{\bf{2}}\\{ - {\bf{5}}}\end{array}} \right]\), \({\bf{b}} = \left[ {\begin{array}{*{20}{c}}{{b_{\bf{1}}}}\\{{b_{\bf{2}}}}\\{{b_{\bf{3}}}}\end{array}} \right]\), and \(W = {\bf{Span}}\left\{ {{{\bf{u}}_{\bf{1}}},\,{{\bf{u}}_{\bf{2}}}} \right\}\). Find an implicit description of W, that is, find a set of one or more homogenous equations that characterize the points of W.

Short Answer

Expert verified

W is the set of points that satisfy \({b_1} + 2{b_2} + {b_3} = 0\).

Step by step solution

01

 Step 1:Write the system of equation

Consider the equation \({x_1}{{\bf{u}}_1} + {x_2}{{\bf{u}}_2} = {\bf{b}}\).

Then, the system of equation can be given in the following manner:

\({x_1}\left[ {\begin{array}{*{20}{c}}{ - 2}\\4\\{ - 6}\end{array}} \right] + {x_2}\left[ {\begin{array}{*{20}{c}}1\\2\\{ - 5}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}{{b_1}}\\{{b_2}}\\{{b_3}}\end{array}} \right]\)

The augmented matrix form is shown below:

\(\left[ {\begin{array}{*{20}{c}}{ - 2}&1&{{b_1}}\\4&2&{{b_2}}\\{ - 6}&{ - 5}&{{b_3}}\end{array}} \right]\)

02

Write the row reduce form for augmented matrix

Apply row operations to the aforementioned augmented matrixin the following manner:

\(\begin{aligned}{}A &= \left[ {\begin{aligned}{{}}{ - 2}&1&{{b_1}}\\4&2&{{b_2}}\\{ - 6}&{ - 5}&{{b_3}}\end{aligned}} \right]\\ &= \left[ {\begin{aligned}{{}}{ - 2}&1&{{b_1}}\\0&4&{{b_2} + 2{b_1}}\\0&{ - 8}&{{b_3} - 3{b_1}}\end{aligned}} \right]\,\,\,\,\,\,\,\left\{ {{R_2} \to {R_2} + 2{R_1},\,\,{R_3} \to {R_3} - 3{R_1}} \right\}\\ &= \left[ {\begin{aligned}{{}}{ - 2}&1&{{b_1}}\\0&4&{{b_2} + 2{b_1}}\\0&0&{{b_1} + 2{b_3} + {b_3}}\end{aligned}} \right]\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\left\{ {{R_3} \to {R_3} + 2{R_2}} \right\}\end{aligned}\)

If the system has a consistent solution, then all elements of the last row of A must be equal to zero.

\({b_1} + 2{b_2} + {b_3} = 0\)

Thus, W is the set of points that satisfy \({b_1} + 2{b_2} + {b_3} = 0\).

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Most popular questions from this chapter

Which of the subspaces \({\rm{Row }}A\) , \({\rm{Col }}A\), \({\rm{Nul }}A\), \({\rm{Row}}\,{A^T}\) , \({\rm{Col}}\,{A^T}\) , and \({\rm{Nul}}\,{A^T}\) are in \({\mathbb{R}^m}\) and which are in \({\mathbb{R}^n}\) ? How many distinct subspaces are in this list?.

Suppose \({{\bf{p}}_{\bf{1}}}\), \({{\bf{p}}_{\bf{2}}}\), \({{\bf{p}}_{\bf{3}}}\), and \({{\bf{p}}_{\bf{4}}}\) are specific polynomials that span a two-dimensional subspace H of \({P_{\bf{5}}}\). Describe how one can find a basis for H by examining the four polynomials and making almost no computations.

Explain what is wrong with the following discussion: Let \({\bf{f}}\left( t \right) = {\bf{3}} + t\) and \({\bf{g}}\left( t \right) = {\bf{3}}t + {t^{\bf{2}}}\), and note that \({\bf{g}}\left( t \right) = t{\bf{f}}\left( t \right)\). Then, \(\left\{ {{\bf{f}},{\bf{g}}} \right\}\) is linearly dependent because g is a multiple of f.

Let \({M_{2 \times 2}}\) be the vector space of all \(2 \times 2\) matrices, and define \(T:{M_{2 \times 2}} \to {M_{2 \times 2}}\) by \(T\left( A \right) = A + {A^T}\), where \(A = \left( {\begin{array}{*{20}{c}}a&b\\c&d\end{array}} \right)\).

  1. Show that \(T\)is a linear transformation.
  2. Let \(B\) be any element of \({M_{2 \times 2}}\) such that \({B^T} = B\). Find an \(A\) in \({M_{2 \times 2}}\) such that \(T\left( A \right) = B\).
  3. Show that the range of \(T\) is the set of \(B\) in \({M_{2 \times 2}}\) with the property that \({B^T} = B\).
  4. Describe the kernel of \(T\).

If A is a \({\bf{6}} \times {\bf{4}}\) matrix, what is the smallest possible dimension of Null A?

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