In Exercises 3–6, the vector x is in a subspace Hwith a basis \(B = \left\{ {{b_{\bf{1}}},{{\bf{b}}_{\bf{2}}}} \right\}\). Find the B-coordinate vector of x.

6. \[{b_1} = \left[ {\begin{array}{*{20}{c}}{ - 3}\\1\\{ - 4}\end{array}} \right]\], \[{b_{\bf{2}}} = \left[ {\begin{array}{*{20}{c}}7\\5\\{ - 6}\end{array}} \right]\], \[x = \left[ {\begin{array}{*{20}{c}}{{\bf{11}}}\\0\\7\end{array}} \right]\]

Short Answer

Expert verified

TheB-coordinate vector of x is \({\left[ {\bf{x}} \right]_B} = \left[ {\begin{array}{*{20}{c}}{ - 5/2}\\{1/2}\end{array}} \right]\).

Step by step solution

01

Definition of coordinate systems

For the basis of asubspace H, let the set be\(B = \left\{ {{{\bf{b}}_1},...,{{\bf{b}}_p}} \right\}\). For theweights \({c_1},...,{c_p}\), the coordinate of x is represented as\({\bf{x}} = {c_1}{{\bf{b}}_1} + \cdots + {c_p}{{\bf{b}}_p}\).

The\(B\)-coordinate vectorof x is represented as shown below:

\({\left[ {\bf{x}} \right]_B} = \left[ {\begin{array}{*{20}{c}}{{c_1}}\\ \vdots \\{{c_p}}\end{array}} \right]\)

02

Construct the augmented matrix

For theweights\({c_1}\)and\({c_2}\), and the vector x in H, it must satisfy the equation\({\bf{x}} = {c_1}{{\bf{b}}_1} + {c_2}{{\bf{b}}_2}\).

Consider thevectors \[{b_1} = \left[ {\begin{array}{*{20}{c}}{ - 3}\\1\\{ - 4}\end{array}} \right]\],\[{b_{\bf{2}}} = \left[ {\begin{array}{*{20}{c}}7\\5\\{ - 6}\end{array}} \right]\], and\[x = \left[ {\begin{array}{*{20}{c}}{11}\\0\\7\end{array}} \right]\].

Then, it can be represented as shown below:

\({c_1}\left[ {\begin{array}{*{20}{c}}{ - 3}\\1\\{ - 4}\end{array}} \right] + {c_2}\left[ {\begin{array}{*{20}{c}}7\\5\\{ - 6}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}{11}\\0\\7\end{array}} \right]\)

Write theaugmented matrix \(\left[ {\begin{array}{*{20}{c}}{{{\bf{b}}_1}}&{{{\bf{b}}_2}}&{\bf{x}}\end{array}} \right]\)as shown below:

\(\left[ {\begin{array}{*{20}{c}}{{{\bf{b}}_1}}&{{{\bf{b}}_2}}&{\bf{x}}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}{ - 3}&7&{11}\\1&5&0\\{ - 4}&{ - 6}&7\end{array}} \right]\)

03

Compute the weights

Exchange row 1 with row 3.

\(\left[ {\begin{array}{*{20}{c}}{ - 3}&7&{11}\\1&5&0\\{ - 4}&{ - 6}&7\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}1&5&0\\{ - 3}&7&{11}\\{ - 4}&{ - 6}&7\end{array}} \right]\)

Use the\({x_1}\)term in the first equation to eliminate the\( - 3{x_1}\)term from the second equation. Add 3 times row 1 to row 3.

\(\left[ {\begin{array}{*{20}{c}}1&5&0\\{ - 3}&7&{11}\\{ - 4}&{ - 6}&7\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}1&5&0\\0&{22}&{11}\\{ - 4}&{ - 6}&7\end{array}} \right]\)

Multiply row 2 by \(\frac{1}{{22}}\).

\(\left[ {\begin{array}{*{20}{c}}1&5&0\\0&{22}&{11}\\{ - 4}&{ - 6}&7\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}1&5&0\\0&1&{1/2}\\{ - 4}&{ - 6}&7\end{array}} \right]\)

Use the\({x_2}\)term in the second equation to eliminate the\(5{x_2}\)term from the first equation. Add\( - 5\)times row 2 to row 1.

\(\left[ {\begin{array}{*{20}{c}}1&5&0\\0&1&{1/2}\\{ - 4}&{ - 6}&7\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}1&0&{ - 5/2}\\0&1&{1/2}\\0&0&0\end{array}} \right]\)

Thus, the weights are \({c_1} = - \frac{5}{2}\) and \({c_2} = \frac{1}{2}\).

Obtain the B-coordinate vector of x.

\({\left[ {\bf{x}} \right]_B} = \left[ {\begin{array}{*{20}{c}}{{c_1}}\\{{c_2}}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}{ - 5/2}\\{1/2}\end{array}} \right]\)

Thus, the B-coordinate vector of x is \({\left[ {\bf{x}} \right]_B} = \left[ {\begin{array}{*{20}{c}}{ - 5/2}\\{1/2}\end{array}} \right]\).

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Most popular questions from this chapter

A useful way to test new ideas in matrix algebra, or to make conjectures, is to make calculations with matrices selected at random. Checking a property for a few matrices does not prove that the property holds in general, but it makes the property more believable. Also, if the property is actually false, you may discover this when you make a few calculations.

38. Use at least three pairs of random \(4 \times 4\) matrices Aand Bto test the equalities \({\left( {A + B} \right)^T} = {A^T} + {B^T}\) and \({\left( {AB} \right)^T} = {A^T}{B^T}\). (See Exercise 37.) Report your conclusions. (Note:Most matrix programs use \(A'\) for \({A^{\bf{T}}}\).

Assume \(A - s{I_n}\) is invertible and view (8) as a system of two matrix equations. Solve the top equation for \({\bf{x}}\) and substitute into the bottom equation. The result is an equation of the form \(W\left( s \right){\bf{u}} = {\bf{y}}\), where \(W\left( s \right)\) is a matrix that depends upon \(s\). \(W\left( s \right)\) is called the transfer function of the system because it transforms the input \({\bf{u}}\) into the output \({\bf{y}}\). Find \(W\left( s \right)\) and describe how it is related to the partitioned system matrix on the left side of (8). See Exercise 15.

Suppose A, B, and Care \(n \times n\) matrices with A, X, and \(A - AX\) invertible, and suppose

\({\left( {A - AX} \right)^{ - 1}} = {X^{ - 1}}B\) …(3)

  1. Explain why B is invertible.
  2. Solve (3) for X. If you need to invert a matrix, explain why that matrix is invertible.

In Exercises 1 and 2, compute each matrix sum or product if it is defined. If an expression is undefined, explain why. Let

\(A = \left( {\begin{aligned}{*{20}{c}}2&0&{ - 1}\\4&{ - 5}&2\end{aligned}} \right)\), \(B = \left( {\begin{aligned}{*{20}{c}}7&{ - 5}&1\\1&{ - 4}&{ - 3}\end{aligned}} \right)\), \(C = \left( {\begin{aligned}{*{20}{c}}1&2\\{ - 2}&1\end{aligned}} \right)\), \(D = \left( {\begin{aligned}{*{20}{c}}3&5\\{ - 1}&4\end{aligned}} \right)\) and \(E = \left( {\begin{aligned}{*{20}{c}}{ - 5}\\3\end{aligned}} \right)\)

\( - 2A\), \(B - 2A\), \(AC\), \(CD\).

In Exercises 33 and 34, Tis a linear transformation from \({\mathbb{R}^2}\) into \({\mathbb{R}^2}\). Show that T is invertible and find a formula for \({T^{ - 1}}\).

34. \(T\left( {{x_1},{x_2}} \right) = \left( {6{x_1} - 8{x_2}, - 5{x_1} + 7{x_2}} \right)\)

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