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In Exercises 11 and 12, and Care bases for a vector space V. Mark each statement True or False. Justify each answer.\(B\)

a. The columns of the change-of-coordinates matrix\(\mathop P\limits_{C \to B} \)are\(B\)-coordinate vectors of the vectors in\(C\).

b. If \(V = {R^n}\)and \(C\) is the standard basis for \(V\) , then \(\mathop P\limits_{C \to B} \)is the same as the change-of-coordinates matrix \({P_B}\) introduced in section 4.4.

Short Answer

Expert verified

(a) False

The columns of the change-of-coordinates matrix \(\mathop P\limits_{C \to B} \)are the \(C\)-coordinate vectors of the vectors in \(B\).

(b) True

As \({\left( {{b_1}} \right)_\xi } = {b_1}\), \(\mathop P\limits_{\xi \to B} \) is the same as the change of coordinates matrix \({P_B}\) defines as \({P_B} = \left( {{b_1},{b_2}......{b_n}} \right)\).

Step by step solution

01

Assume \(B\) and \(C\) to be the bases for vector space \(V\)and \(\xi \) to be a standard basis in \({\mathbb{R}^n}\)

Suppose \(B = \left\{ {{b_1}.....{b_n}} \right\}\), \(C = \left\{ {{c_1}.....{c_n}} \right\}\) are the bases for vector space \(V\) and \(\xi = \left\{ {{e_1}......{e_n}} \right\}\) is the standard basis in \({\mathbb{R}^n}\).

02

Use the theorem for change of coordinates matrix from \(B\) to \(C\) and the concept of change of basis in \({\mathbb{R}^n}\)

If \(B = \left\{ {{b_1}.....{b_n}} \right\}\) and \(C = \left\{ {{c_1}.....{c_n}} \right\}\) are the bases for vector space \(V\), then according to the theorem of change of coordinates matrix from \(B\) to \(C\), there is always a matrix \(\mathop P\limits_{C \to B} \) of the dimension \(n \times n\) such that \({\left( x \right)_c} = \mathop P\limits_{C \to B} {\left( x \right)_B}\). It means that the vectors in basis \(B\) have \(C\) coordinate vector, which are the same as the columns of \(\mathop P\limits_{C \to B} \).

If \(B = \left\{ {{b_1}.....{b_n}} \right\}\) and \(\xi = \left\{ {{e_1}......{e_n}} \right\}\) are the standard bases in \({\mathbb{R}^n}\), then \({\left( {{b_1}} \right)_\xi } = {b_1}\). So, \(\mathop P\limits_{\xi \to B} \) is the same as the change of coordinates matrix \({P_B}\) defines as \({P_B} = \left( {{b_1},{b_2}......{b_n}} \right)\).

03

Draw a conclusion

So, statement (a) is false and statement (b) is true.

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Most popular questions from this chapter

Suppose a \({\bf{4}} \times {\bf{7}}\) matrix A has four pivot columns. Is \({\bf{Col}}\,A = {\mathbb{R}^{\bf{4}}}\)? Is \({\bf{Nul}}\,A = {\mathbb{R}^{\bf{3}}}\)? Explain your answers.

Given \(T:V \to W\) as in Exercise 35, and given a subspace \(Z\) of \(W\), let \(U\) be the set of all \({\mathop{\rm x}\nolimits} \) in \(V\) such that \(T\left( {\mathop{\rm x}\nolimits} \right)\) is in \(Z\). Show that \(U\) is a subspace of \(V\).

Let \(B = \left\{ {\left( {\begin{array}{*{20}{c}}{\bf{1}}\\{ - {\bf{4}}}\end{array}} \right),\,\left( {\begin{array}{*{20}{c}}{ - {\bf{2}}}\\{\bf{9}}\end{array}} \right)\,} \right\}\). Since the coordinate mapping determined by B is a linear transformation from \({\mathbb{R}^{\bf{2}}}\) into \({\mathbb{R}^{\bf{2}}}\), this mapping must be implemented by some \({\bf{2}} \times {\bf{2}}\) matrix A. Find it. (Hint: Multiplication by A should transform a vector x into its coordinate vector \({\left( {\bf{x}} \right)_B}\)).

Question: Determine if the matrix pairs in Exercises 19-22 are controllable.

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Let \(A\) be any \(2 \times 3\) matrix such that \({\mathop{\rm rank}\nolimits} A = 1\), let u be the first column of \(A\), and suppose \({\mathop{\rm u}\nolimits} \ne 0\). Explain why there is a vector v in \({\mathbb{R}^3}\) such that \(A = {{\mathop{\rm uv}\nolimits} ^T}\). How could this construction be modified if the first column of \(A\) were zero?

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