Find all \(x\) in \(R^{4}\) that are mapped into the zero vector by the transformation \(x \mapsto A x\) for the given matrix \(A\).
$$ A=\left[\begin{array}{rrrr} 1 & -3 & 6 & 1 \\ 0 & 1 & -5 & 2 \\ 2 & -4 & 2 & 6 \end{array}\right] $$
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Find all x in R that are mapped into the zero vector by the transformation x Ax for the given matrix A. 111 13 A 0 1-4 4 4 -16 28-36 Select the correct choice below and fill in the answer box(es) to complete your choice. O A. There is only one vector, which is x- + X 3
1. Suppose that \(T\) is the matrix transformation defined by the matrix \(A\) and \(S\) the matrix transformation defined by \(B\) where$$ A=\left[\begin{array}{rrr} 3 & -1 & 0 \\ 1 & 2 & 2 \\ -1 & 3 & 2 \end{array}\right], \quad B=\left[\begin{array}{rrr} 1 & -1 & 0 \\ 2 & 1 & 2 \end{array}\right] $$a. If \(T: \mathbb{R}^{n} \rightarrow \mathbb{R}^{m}\), what are the values of \(m\) and \(n ?\) What values of \(m\) and \(n\) are appropriate for the...
Problem settingConsider the linear transformation \(\phi(\cdot): \mathbb{R}^{2} \rightarrow \mathbb{R}^{2}\) on the standard vector space of dimension two over the field of real numbers defined as:$$ \phi\left(\left(\begin{array}{l} x_{0} \\ x_{1} \end{array}\right)\right)=\left(\begin{array}{r} 3 x_{0}-x_{1} \\ -7 x_{0}+2 x_{1} \end{array}\right) $$Problem taskFind \(\mathcal{R}_{G \rightarrow E}(\) id \()\) that is the change of basis matrix from basis \(G\) to the standard basis \(E\) where the standard basis vectors are:$$ \begin{array}{l} \vec{e}_{0}=\left(\begin{array}{l} 1 \\ 0 \end{array}\right) \\ \vec{e}_{1}=\left(\begin{array}{l} 0 \\ 1 \end{array}\right) \end{array} $$given that...
please answer both questions thank you! How many rows and columns must a matrix A have in order to define a mapping from R into R by the rule T(x) Ax? Choose the correct answer below OA. The matrix A must have 7 rows and 7 columns. O B. The matrix A must have 9 rows and 7 columns OC. The matrix A must have 9 rows and 9 columns O D. The matrix A must have 7 rows and...
3. (3pts) Consider the \(3 \times 3\) matrices \(B=\left[\begin{array}{ccc}1 & 1 & 2 \\ -1 & 0 & 4 \\ 0 & 0 & 1\end{array}\right]\) and \(A=\left[\begin{array}{lll}\mathbf{a}_{1} & \mathbf{a}_{2} & \mathbf{a}_{3}\end{array}\right]\), where \(\mathbf{a}_{1}\), \(\mathbf{a}_{2}\), and \(\mathrm{a}_{9}\) are the columns of \(A\). Let \(A B=\left[\begin{array}{lll}v_{1} & v_{2} & v_{3}\end{array}\right]\), where \(v_{1}, v_{2}\), and \(v_{3}\) are the columns of the product. Express a as a linear combination of \(\mathbf{v}_{1}, \mathbf{v}_{2}\), and \(\mathbf{v}_{3}\).4. (3pts) Let \(T(x)=A x\) be the linear transformation given by$$...
Let \(T: R^{3} \rightarrow R^{2}\) defined by \(T\left(\left[\begin{array}{l}x_{1} \\ x_{2} \\ x_{3}\end{array}\right]\right)=\left[\begin{array}{c}2 x_{1}+x_{3} \\ -x_{2}\end{array}\right]\).a. Find the matrix \(A\) such that \(T(x)=A x\)b. Demonstrate that \(T\) is a linear transformation.
Consider the linear system \(A x=b\) where \(A=\left[\begin{array}{rr}2 & -1 \\ -1 & 2\end{array}\right], b=\left[\begin{array}{l}1 \\ 1\end{array}\right], x=\left[\begin{array}{l}1 \\ 1\end{array}\right]\).We showed in class, using the eigenvlaues and eigenvectors of the iteration matrix \(M_{G S}\), that for \(x^{(0)}=\left[\begin{array}{ll}0 & 0\end{array}\right]^{T}\) the error at the \(k^{t h}\) step of the Gauss-Seidel iteration is given by$$ e^{(k)}=\left(\frac{1}{4}\right)^{k}\left[\begin{array}{l} 2 \\ 1 \end{array}\right] $$for \(k \geq 1\). Following the same procedure, derive an analogous expression for the error in Jacobi's method for the same system.
Given A and b to the right, write the augmented matrix for the linear system that corresponds to the matrix equation Ax=b. Then solve the system and write the solution as a vector. A= [ 12-4] 1 5 2 ,b= 1-4 -2 4 7 38 Write the augmented matrix for the linear system that corresponds to the matrix equation Ax = b. Select the correct choice below and fill in any answer boxes within your choice. OA OB. Solve the...
Given A and b to the right, write the augmented matrix for the linear system that corresponds to the matrix equation Ax=b. Then solve the system and write the solution as a vector. A= 1 2 - 1 1 5 2 52 2 b = 19 -5 Write the augmented matrix for the linear system that corresponds to the matrix equation Ax = b. Select the correct choice below and fill in any answer boxes within your choice. OA. OB....
9.4.22 Question Help The given vector functions are solutions to the system x'(t) = Ax(t). 2 6 5t 6t X1 se X2e - Determine whether the vector functions form a fundamental solution set. Select the correct choice below and fill in the answer box(es) to complete your choice. A. No, the vector functions do not form a fundamental solution set because the Wronskian is B. Yes, the vector functions form a fundamental solution set because the Wronskian is The fundamental...