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In the vector space for all real-valued functions, find a basis for the subspace spanned by \(\left\{ {{\bf{sin}}t,\,{\bf{sin2}}t,\,{\bf{sin}}t\,{\bf{cos}}t} \right\}\).

Short Answer

Expert verified

\(\left\{ {\sin t,\sin t\cos t} \right\}\)and \(\left\{ {\sin t,\;\sin 2t} \right\}\)

Step by step solution

01

Find the set of vectors for V

Let \({v_1} = \sin t\), \({v_2} = \sin 2t\), \({v_3} = \sin t\cos t\).

Simplify the equation \({v_3} = \sin t\cos t\) using trigonometric identities.

\[\begin{array}{c}{v_3} = \frac{1}{2}\left( {2\sin t\cos t} \right)\\ = \frac{1}{2}\sin 2t\\ = \frac{1}{2}{v_2}\end{array}\]

So, the vectors \({v_2}\) and \({v_3}\) are dependent.

02

Write the spanning set

The spanning set reduces as shown below:

\(\begin{array}{c}V = {\rm{span}}\left\{ {{v_1},\,{v_2},\,{v_3}} \right\}\\ = {\rm{span}}\left\{ {{v_1},{v_2}} \right\}\;\;{\rm{or}}\\ = {\rm{span}}\left\{ {{v_1},{v_3}} \right\}\end{array}\)

So, the above set represents the basis of H.

So, the basis are \(\left\{ {\sin t,\sin t\cos t} \right\}\) and \(\left\{ {\sin t,\;\sin 2t} \right\}\).

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Most popular questions from this chapter

If A is a \({\bf{4}} \times {\bf{3}}\) matrix, what is the largest possible dimension of the row space of A? If Ais a \({\bf{3}} \times {\bf{4}}\) matrix, what is the largest possible dimension of the row space of A? Explain.

Question: Exercises 12-17 develop properties of rank that are sometimes needed in applications. Assume the matrix\(A\)is\(m \times n\).

15. Let\(A\)be an\(m \times n\)matrix, and let\(B\)be a\(n \times p\)matrix such that\(AB = 0\). Show that\({\mathop{\rm rank}\nolimits} A + {\mathop{\rm rank}\nolimits} B \le n\). (Hint: One of the four subspaces\({\mathop{\rm Nul}\nolimits} A\),\({\mathop{\rm Col}\nolimits} A,\,{\mathop{\rm Nul}\nolimits} B\), and\({\mathop{\rm Col}\nolimits} B\)is contained in one of the other three subspaces.)

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Exercises 23-26 concern a vector space V, a basis \(B = \left\{ {{{\bf{b}}_{\bf{1}}},....,{{\bf{b}}_n}\,} \right\}\) and the coordinate mapping \({\bf{x}} \mapsto {\left( {\bf{x}} \right)_B}\).

Show that a subset \(\left\{ {{{\bf{u}}_1},...,{{\bf{u}}_p}} \right\}\) in V is linearly independent if and only if the set of coordinate vectors \(\left\{ {{{\left( {{{\bf{u}}_{\bf{1}}}} \right)}_B},.....,{{\left( {{{\bf{u}}_p}} \right)}_B}} \right\}\) is linearly independent in \({\mathbb{R}^n}\)(Hint: Since the coordinate mapping is one-to-one, the following equations have the same solutions, \({c_{\bf{1}}}\),….,\({c_p}\))

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