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Either compute the inverse of the given matrix, or else show that it is singular. \(\left(\begin{array}{cc}{3} & {-1} \\ {6} & {2}\end{array}\right)\)

Short Answer

Expert verified
Answer: The inverse of the matrix \(\left(\begin{array}{cc}{3} & {-1} \\\ {6} & {2}\end{array}\right)\) is \(\left(\begin{array}{cc}{\frac{1}{6}} & {\frac{1}{12}} \\\ {-\frac{1}{2}} & {\frac{1}{4}}\end{array}\right)\).

Step by step solution

01

Calculate the determinant of the matrix

The determinant of a 2x2 matrix \(\left(\begin{array}{cc}{a} & {b} \\\ {c} & {d}\end{array}\right)\) can be found using the formula \(ad - bc\). So for the given matrix \(\left(\begin{array}{cc}{3} & {-1} \\\ {6} & {2}\end{array}\right)\), the determinant is: \((3)(2)-(-1)(6) = 6+6=12\). Since the determinant is non-zero (12), the matrix is not singular and we can find the inverse.
02

Find the inverse of the matrix

To find the inverse of a 2x2 matrix \(\left(\begin{array}{cc}{a} & {b} \\\ {c} & {d}\end{array}\right)\), first find the adjugate matrix which is \(\left(\begin{array}{cc}{d} & {-b} \\\ {-c} & {a}\end{array}\right)\) and then multiply this matrix by \(\frac{1}{\text{determinant}}\). Thus, the adjugate matrix is: \(\left(\begin{array}{cc}{2} & {1} \\\ {-6} & {3}\end{array}\right)\). Now, multiply the adjugate matrix by \(\frac{1}{12}\) to get the inverse of the matrix: \((\frac{1}{12})\left(\begin{array}{cc}{2} & {1} \\\ {-6} & {3}\end{array}\right) = \left(\begin{array}{cc}{\frac{1}{6}} & {\frac{1}{12}} \\\ {-\frac{1}{2}} & {\frac{1}{4}}\end{array}\right)\). So the inverse of the matrix \(\left(\begin{array}{cc}{3} & {-1} \\\ {6} & {2}\end{array}\right)\) is: \(\left(\begin{array}{cc}{\frac{1}{6}} & {\frac{1}{12}} \\\ {-\frac{1}{2}} & {\frac{1}{4}}\end{array}\right)\).

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Most popular questions from this chapter

Deal with the problem of solving \(\mathbf{A x}=\mathbf{b}\) when \(\operatorname{det} \mathbf{A}=0\) Suppose that det \(\mathbf{A}=0\) and that \(y\) is a solution of \(\mathbf{A}^{*} \mathbf{y}=\mathbf{0} .\) Show that if \((\mathbf{b}, \mathbf{y})=0\) for every such \(\mathbf{y},\) then \(\mathbf{A} \mathbf{x}=\mathbf{b}\) has solutions. Note that the converse of Problem \(27 ;\) the form of the solution is given by Problem \(28 .\)

Express the general solution of the given system of equations in terms of real-valued functions. In each of Problems 1 through 6 also draw a direction field, sketch a few of the trajectories, and describe the behavior of the solutions as \(t \rightarrow \infty\). $$ \mathbf{x}^{\prime}=\left(\begin{array}{rr}{-1} & {-4} \\ {1} & {-1}\end{array}\right) \mathbf{x} $$

find a fundamental matrix for the given system of equations. In each case also find the fundamental matrix \(\mathbf{\Phi}(t)\) satisfying \(\Phi(0)=\mathbf{1}\) $$ \mathbf{x}^{\prime}=\left(\begin{array}{rr}{-\frac{3}{4}} & {\frac{1}{2}} \\\ {\frac{1}{8}} & {-\frac{1}{4}}\end{array}\right) \mathbf{x} $$

find a fundamental matrix for the given system of equations. In each case also find the fundamental matrix \(\mathbf{\Phi}(t)\) satisfying \(\Phi(0)=\mathbf{1}\) $$ \mathbf{x}^{\prime}=\left(\begin{array}{rrr}{1} & {1} & {1} \\ {2} & {1} & {-1} \\ {-8} & {-5} & {-3}\end{array}\right) \mathbf{x} $$

Find all eigenvalues and eigenvectors of the given matrix. $$ \left(\begin{array}{ll}{3} & {-2} \\ {4} & {-1}\end{array}\right) $$

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