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Find a basis for the set of vectors in\({\mathbb{R}^{\bf{3}}}\)in the plane\(x + {\bf{2}}y + z = {\bf{0}}\). (Hint:Think of the equation as a “system” of homogeneous equations.)

Short Answer

Expert verified

A basis for \(Nul A\) is \(\left\{ {\left( {\begin{array}{*{20}{c}}{ - 2}\\1\\0\end{array}} \right),\left( {\begin{array}{*{20}{c}}{ - 1}\\0\\1\end{array}} \right)} \right\}\).

Step by step solution

01

Define the null space of a matrix

The set of allhomogeneousequation solutions, \(A{\bf{x}} = 0\), is \(Nul A\), or it is called thenull space of A.

02

State the basis for the set of vectors

Consider the plane equation \(x + 2y + z = 0\).

In matrix form, it is\(A = \left( {\begin{array}{*{20}{c}}1&2&1\end{array}} \right)\).

The plane equation \(x + 2y + z = 0\)can also be written as\(x = - 2y - z\).

From the above equations, \(x\) corresponds to thepivot positions. So, \(x\) is the basic variable, and \(y\) and \(z\) are free variables.

Let \(y = a\), \(z = b\).

Substitute the values \(y = a\) and \(z = b\) in the equation \(x = - 2y - z\) to obtain the general solution

\(x = - 2a - b\).

Obtain the vector in the parametric form using \(x = - 2a - b\), \(y = a\), and \(z = b\).

\(\begin{array}{c}\left( {\begin{array}{*{20}{c}}x\\y\\z\end{array}} \right) = \left( {\begin{array}{*{20}{c}}{ - 2a - b}\\a\\b\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{ - 2a}\\a\\0\end{array}} \right) + \left( {\begin{array}{*{20}{c}}{ - b}\\0\\b\end{array}} \right)\\ = a\left( {\begin{array}{*{20}{c}}{ - 2}\\1\\0\end{array}} \right) + b\left( {\begin{array}{*{20}{c}}{ - 1}\\0\\1\end{array}} \right)\end{array}\)

It can be written as

\(\left( {\begin{array}{*{20}{c}}x\\y\\z\end{array}} \right) = y\left( {\begin{array}{*{20}{c}}{ - 2}\\1\\0\end{array}} \right) + z\left( {\begin{array}{*{20}{c}}{ - 1}\\0\\1\end{array}} \right)\).

Thebasis of vectorsis shown below:

\( \Rightarrow \left\{ {\left( {\begin{array}{*{20}{c}}{ - 2}\\1\\0\end{array}} \right),\left( {\begin{array}{*{20}{c}}{ - 1}\\0\\1\end{array}} \right)} \right\}\)

Thus, \({\bf{x}} = y\left( {\begin{array}{*{20}{c}}{ - 2}\\1\\0\end{array}} \right) + z\left( {\begin{array}{*{20}{c}}{ - 1}\\0\\1\end{array}} \right)\), and a basis for \(Nul A\) is \(\left\{ {\left( {\begin{array}{*{20}{c}}{ - 2}\\1\\0\end{array}} \right),\left( {\begin{array}{*{20}{c}}{ - 1}\\0\\1\end{array}} \right)} \right\}\).

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Most popular questions from this chapter

Let be a linear transformation from a vector space \(V\) \(T:V \to W\)in to vector space \(W\). Prove that the range of T is a subspace of . (Hint: Typical elements of the range have the form \(T\left( {\mathop{\rm x}\nolimits} \right)\) and \(T\left( {\mathop{\rm w}\nolimits} \right)\) for some \({\mathop{\rm x}\nolimits} ,\,{\mathop{\rm w}\nolimits} \)in \(V\).)\(W\)

A scientist solves a nonhomogeneous system of ten linear equations in twelve unknowns and finds that three of the unknowns are free variables. Can the scientist be certain that, if the right sides of the equations are changed, the new nonhomogeneous system will have a solution? Discuss.

Question 18: Suppose A is a \(4 \times 4\) matrix and B is a \(4 \times 2\) matrix, and let \({{\mathop{\rm u}\nolimits} _0},...,{{\mathop{\rm u}\nolimits} _3}\) represent a sequence of input vectors in \({\mathbb{R}^2}\).

  1. Set \({{\mathop{\rm x}\nolimits} _0} = 0\), compute \({{\mathop{\rm x}\nolimits} _1},...,{{\mathop{\rm x}\nolimits} _4}\) from equation (1), and write a formula for \({{\mathop{\rm x}\nolimits} _4}\) involving the controllability matrix \(M\) appearing in equation (2). (Note: The matrix \(M\) is constructed as a partitioned matrix. Its overall size here is \(4 \times 8\).)
  2. Suppose \(\left( {A,B} \right)\) is controllable and v is any vector in \({\mathbb{R}^4}\). Explain why there exists a control sequence \({{\mathop{\rm u}\nolimits} _0},...,{{\mathop{\rm u}\nolimits} _3}\) in \({\mathbb{R}^2}\) such that \({{\mathop{\rm x}\nolimits} _4} = {\mathop{\rm v}\nolimits} \).

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

13. Show that if \(P\) is an invertible \(m \times m\) matrix, then rank\(PA\)=rank\(A\).(Hint: Apply Exercise12 to \(PA\) and \({P^{ - 1}}\left( {PA} \right)\).)

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

14. Show that if \(Q\) is an invertible, then \({\mathop{\rm rank}\nolimits} AQ = {\mathop{\rm rank}\nolimits} A\). (Hint: Use Exercise 13 to study \({\mathop{\rm rank}\nolimits} {\left( {AQ} \right)^T}\).)

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