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Which of the following is true? Select all that apply.
The corresponding system of equations is consistent. The corresponding system
of equations is inconsistent. The rank of the augmented matrix is \(4\).The rank of
the augmented matrix is \(5\).The rank of the augmented matrix is \(6\).There are no
free variables. There is one free variable. There are two free variables. The
corresponding system has a unique solution. The corresponding system has
infinitely many solutions.
Consider an augmented matrix of the form
\[\left [\begin{array}{c|c} A & \vec {b}\\ \end{array}\right ]\]
corresponding to a system of linear equations.
True or False?
(a)
If there is more than one solution, \(\left [\begin{array}{c|c} A & \vec {b}\\ \end{array}\right ]\) has a row of zeros.
True False
(b)
If \(\left [\begin{array}{c|c} A & \vec {b}\\ \end{array}\right ]\) has a row of zeros, there is more than one solution.
True False
(c)
If there is no solution, \(\mbox {rref}(A)\) has a row of zeros.
True False
(d)
If \(\mbox {rref}(A)\) has a row of zeros, there is no solution.
True False
(e)
There is NO system that is inconsistent for every \(\vec {b}\).
True False
(f)
If the system is consistent for some choice of \(\vec {b}\), it is consistent for every choice of
\(\vec {b}\).
True False
Express \(\begin{bmatrix}127\\-26\end{bmatrix}\) as a linear combination of \(\begin{bmatrix}101\\50\end{bmatrix}\) and \(\begin{bmatrix}25\\42\end{bmatrix}\).
Suppose \(\vec {v}_1, \vec {v}_2, \vec {v}_3\) and \(\vec {w}\) are vectors in \(\RR ^n\). What are the implications of the statement: \(\vec {w}\) is in
the span of \(\vec {v}_1, \vec {v}_2, \vec {v}_3\) Select all that apply.
Vector \(\vec {w}\) a linear combination of \(\vec {v}_1, \vec {v}_2, \vec {v}_3\)The set \(\{\vec {v}_1, \vec {v}_2, \vec {v}_3, \vec {w}\}\)
contains redundant vectors.Vectors \(\vec {v}_1, \vec {v}_2, \vec {v}_3, \vec {w}\) are linearly independent.Vectors \(\vec {v}_1, \vec {v}_2, \vec {v}_3, \vec {w}\) are
linearly dependent.Vector \(\vec {v}_1\) can be written as a linear combination of \(\vec {v}_2, \vec {v}_3, \vec {w}\).The
equation \(a\vec {v}_1+ b\vec {v}_2+ c\vec {v}_3+ d\vec {w}=\vec {0}\) has a non-trivial solution.
Express \(\begin{bmatrix}-1\\4\\5\end{bmatrix}\) as a linear combination of \(\begin{bmatrix}2\\1\\-3\end{bmatrix}\), \(\begin{bmatrix}-1\\1\\4\end{bmatrix}\) and \(\begin{bmatrix}1\\1\\-2\end{bmatrix}\).
If this is not possible, enter DNE in each answer cell.
What can be said about the vectors \(\begin{bmatrix}a_1\\b_1\\c_1\end{bmatrix}\), \(\begin{bmatrix}a_2\\b_2\\c_2\end{bmatrix}\) and \(\begin{bmatrix}a_3\\b_3\\c_3\end{bmatrix}\)?
Select all that apply.
Nothing can be deduced from the information given. The three vectors are
linearly independent. The three vectors are linearly dependent. The three
vectors are pairwise orthogonal. The first vector can be written as a linear
combination of the other two. The equation \(\alpha \begin{bmatrix}a_1\\b_1\\c_1\end{bmatrix}+\beta \begin{bmatrix}a_2\\b_2\\c_2\end{bmatrix}+\omega \begin{bmatrix}a_3\\b_3\\c_3\end{bmatrix}=\vec {0}\) has only the trivial solution.
Use the navigation bar arrows in the interactive below to advance the
construction steps. Use the final result to express \(\vec {w}\) as a linear combination of \(\vec {u}\) and
\(\vec {v}\).
Let \(A\) be the coefficient matrix corresponding to this system, and let \(\vec {b}=\begin{bmatrix}2\\0\\1\end{bmatrix}\).
Suppose that we find that \((1, -2, -5)\) is a unique solution to this system. What does this tell
us? Select ALL that apply.
\(A\) is invertable.Vector \(\vec {b}\) is in the span of the columns of \(A\).Columns of \(A\) are
linearly dependent.Equation \(A\vec {x}=\vec {b}\) has a unique solution.Vector \(\vec {b}\) can be written as a
linear combination of the columns of \(A\).\(A\vec {b}=\begin{bmatrix}1\\-2\\-5\end{bmatrix}\)
Let \(A=\begin{bmatrix}|&|&|\\\vec {c}_1& \vec {c}_2 & \vec {c}_3\\|&|&|\end{bmatrix}\) be a \(3\times 3\) matrix with columns \(\vec {c}_1\), \(\vec {c}_2\) and \(\vec {c}_3\).
Which of the following can we conclude from the given information? Select ALL that
apply.
\(\vec {c}_2+\vec {c}_3=\begin{bmatrix}-1\\-1\\2\end{bmatrix}\)\(-\vec {c}_1-\vec {c}_2+2\vec {c}_3=\begin{bmatrix}0\\1\\1\end{bmatrix}\)\(A\) is non-singular.\(\begin{bmatrix}0\\1\\1\end{bmatrix}\) is in \(\text {span}(\vec {c}_1, \vec {c}_2, \vec {c}_3)\).Vector \(\begin{bmatrix}0\\1\\1\end{bmatrix}\) can be written as a linear
combination of the columns of \(A\).
Suppose \(A\) is a non-singular \(3\times 3\) matrix. Let \(A^{-1}=\begin{bmatrix}|&|&|\\\vec {d}_1& \vec {d}_2 & \vec {d}_3\\|&|&|\end{bmatrix}\).
Let \(A\) be a \(2\times 5\) matrix. Compute the dimensions of each product.
\(A^TA\) is a \(\answer {5}\times \answer {5}\) matrix.
\(AA^T\) is a \(\answer {2}\times \answer {2}\) matrix.
Let \(A=\begin{bmatrix}1 & 2\\-1 & 1\end{bmatrix}\) and \(C=\begin{bmatrix}-1 & 1\\2 & 1\end{bmatrix}\). Find elementary matrices \(E_1\) and \(E_2\) such that \(C=E_2E_1A\).