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Evaluate the determinant, in which the entries are functions. Determinants of this type occur when changes of variables are made in calculus. $$\left|\begin{array}{ll} x & \ln x \\ 1 & 1 / x \end{array}\right|$$

Short Answer

Expert verified
The determinant of the given 2x2 matrix is \(1 - \ln x\).

Step by step solution

01

Identify Matrix Elements

Identify matrix elements and organize them according to the formula for the determinant of a 2x2 matrix. In this case, \(a = x\), \(b = \ln x\), \(c = 1\), and \(d = 1/x\)
02

Apply the Formula for the Determinant of the 2x2 Matrix

Substitute the organized values back into the formula for the determinant. So, the determinant \( = (x)(1/x) - (1)(\ln x)\)
03

Simplify the Expression

By performing the multiplication and subtraction, we can simplify the determinant to \(= 1 - \ln x\)

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Most popular questions from this chapter

Use Cramer's Rule to solve the system of linear equations, if possible. $$\begin{array}{l} 3 x_{1}+4 x_{2}=-2 \\ 5 x_{1}+3 x_{2}=4 \end{array}$$

The table below shows the numbers of subscribers \(y\) (in millions) of a cellular communications company in the United States for the years 2003 to \(2005 .\) (Source: U.S. Census Bureau)$$\begin{array}{l|c} \hline \text {Year} & \text {Subscribers} \\ \hline 2003 & 158.7 \\ 2004 & 182.1 \\ 2005 & 207.9 \\ \hline \end{array}$$ (a) Create a system of linear equations for the data to fit the curve \(y=a t^{2}+b t+c,\) where \(t\) is the year and \(t=3\) corresponds to \(2003,\) and \(y\) is the number of subscribers. (b) Use Cramer's Rule to solve your system. (c) Use a graphing utility to plot the data and graph your regression polynomial function. (d) Briefly describe how well the polynomial function fits the data.

Find (a) the characteristic equation, (b) the eigenvalues, and (c) the corresponding eigenvectors of the matrix. $$\left[\begin{array}{lll} 2 & 0 & 1 \\ 0 & 3 & 4 \\ 0 & 0 & 1 \end{array}\right]$$

Use a graphing utility or a computer software program with matrix capabilities and Cramer's Rule to solve for \(x_{1}\) if possible. $$\begin{array}{r} -0.4 x_{1}+0.8 x_{2}=1.6 \\ 2 x_{1}-4 x_{2}=5 \end{array}$$

Use a graphing utility or computer software program with matrix capabilities to find the eigenvalues of the matrix. Then find the corresponding eigenvectors. $$\left[\begin{array}{rrrr} 1 & 0 & 2 & 3 \\ 0 & 2 & 0 & 0 \\ 0 & 0 & 1 & 3 \\ 0 & -1 & 3 & 1 \end{array}\right]$$

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