지수함수와 로그함수 전체 문제

Condense the expression $4\ln (c)+\ln (d)+\frac{\ln (a)}{3}+\frac{\ln (b+3)}{3}$ to a single logarithm.

Rewrite ${16}^{3x-5}=1000$ as a logarithm. Then apply the change of base formula to solve for $x$ using the natural log. Round to the nearest thousandth.

Solve ${\left(\frac{1}{81}\right)}^{x}\cdot \frac{1}{243}={\left(\frac{1}{9}\right)}^{-3x-1}$ by rewriting each side with a common base.

Use logarithms to find the exact solution for $-9{e}^{10a-8}-5=-41$ . If there is no solution, write no solution.

Find the exact solution for $10{e}^{4x+2}+5=56.$ If there is no solution, write no solution.

Find the exact solution for $-5{e}^{-4x-1}-4=64.$ If there is no solution, write no solution.

Find the exact solution for ${2}^{x-3}={6}^{2x-1}.$ If there is no solution, write no solution.

Find the exact solution for ${e}^{2x}-{e}^{x}-72=0.$ If there is no solution, write no solution.

Use the definition of a logarithm to find the exact solution for $4\log (2n)-7=-11$

Use the one-to-one property of logarithms to find an exact solution for $\log (4{x}^{2}-10)+\log (3)=\log (51)$ If there is no solution, write no solution.

The formula for measuring sound intensity in decibels $D$ is defined by the equation $D=10\log \left(\frac{I}{{I}_{0}}\right),$ where $I$ is the intensity of the sound in watts per square meter and ${I}_{0}={10}^{-12}$ is the lowest level of sound that the average person can hear. How many decibels are emitted from a rock concert with a sound intensity of $4.7\cdot {10}^{-1}$ watts per square meter?

A radiation safety officer is working with $112$ grams of a radioactive substance. After $17$ days, the sample has decayed to $80$ grams. Rounding to five significant digits, write an exponential equation representing this situation. To the nearest day, what is the half-life of this substance?

Write the formula found in the previous exercise as an equivalent equation with base $e.$ Express the exponent to five significant digits.

A bottle of soda with a temperature of $71^\circ$ Fahrenheit was taken off a shelf and placed in a refrigerator with an internal temperature of $\text{35° F}.$ After ten minutes, the internal temperature of the soda was $\text{63° F}.$ Use Newton’s Law of Cooling to write a formula that models this situation. To the nearest degree, what will the temperature of the soda be after one hour?

The population of a wildlife habitat is modeled by the equation $P(t)=\frac{360}{1+6.2{e}^{-0.35t}},$ where $t$ is given in years. How many animals were originally transported to the habitat? How many years will it take before the habitat reaches half its capacity?

Enter the data from (the referenced table) into a graphing calculator and graph the resulting scatter plot. Determine whether the data from the table would likely represent a function that is linear, exponential, or logarithmic.

The population of a lake of fish is modeled by the logistic equation $P(t)=\frac{16,120}{1+25{e}^{-0.75t}},$ where $t$ is time in years. To the nearest hundredth, how many years will it take the lake to reach $80\%$ of its carrying capacity?

For the following exercises, use a graphing utility to create a scatter diagram of the data given in the table. Observe the shape of the scatter diagram to determine whether the data is best described by an exponential, logarithmic, or logistic model. Then use the appropriate regression feature to find an equation that models the data. When necessary, round values to five decimal places.

For the following exercises, use a graphing utility to create a scatter diagram of the data given in the table. Observe the shape of the scatter diagram to determine whether the data is best described by an exponential, logarithmic, or logistic model. Then use the appropriate regression feature to find an equation that models the data. When necessary, round values to five decimal places.

For the following exercises, use a graphing utility to create a scatter diagram of the data given in the table. Observe the shape of the scatter diagram to determine whether the data is best described by an exponential, logarithmic, or logistic model. Then use the appropriate regression feature to find an equation that models the data. When necessary, round values to five decimal places.