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9. \( f(x)=0.2(5)^{-x} \)

Ask by Jimenez Simpson. in the United States
Jan 25,2025

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The function \( f(x) = 0.2 \cdot (5)^{-x} \) is an exponential decay function with a y-intercept at \( (0, 0.2) \) and a horizontal asymptote at \( y = 0 \). As \( x \) increases, \( f(x) \) approaches 0, and as \( x \) decreases, \( f(x) \) increases without bound.

Solution

Sure, let's analyze the function you've provided: \[ f(x) = 0.2 \cdot (5)^{-x} \] ### 1. **Understanding the Function** The function \( f(x) = 0.2 \cdot (5)^{-x} \) is an **exponential function**. To better understand its behavior, let's rewrite it in a more familiar exponential form: \[ f(x) = 0.2 \cdot \left(\frac{1}{5}\right)^x \] This is because \( 5^{-x} = \left(\frac{1}{5}\right)^x \). ### 2. **Key Characteristics** #### a. **Base of the Exponential Function** - **Base (\( b \))**: \( \frac{1}{5} \) or \( 0.2 \) - Since \( 0 < b < 1 \), this indicates **exponential decay**. #### b. **Initial Value (y-intercept)** To find the y-intercept, set \( x = 0 \): \[ f(0) = 0.2 \cdot \left(\frac{1}{5}\right)^0 = 0.2 \cdot 1 = 0.2 \] So, the y-intercept is at \( (0, 0.2) \). #### c. **Horizontal Asymptote** As \( x \) approaches \( +\infty \), \( \left(\frac{1}{5}\right)^x \) approaches 0. Therefore, the horizontal asymptote is: \[ y = 0 \] #### d. **Behavior of the Function** - **As \( x \) increases (\( x \to +\infty \))**: \[ f(x) \to 0 \] - **As \( x \) decreases (\( x \to -\infty \))**: \[ f(x) \to \infty \] This means the function decreases towards the horizontal asymptote as \( x \) increases and increases without bound as \( x \) decreases. #### e. **Domain and Range** - **Domain**: All real numbers (\( -\infty, +\infty \)) - **Range**: All positive real numbers (\( 0, +\infty \)) ### 3. **Graph of the Function** Here's a qualitative description of the graph: - **Y-intercept** at \( (0, 0.2) \). - The graph approaches the horizontal asymptote \( y = 0 \) as \( x \) increases. - The graph rises steeply as \( x \) becomes negative. - It is continuously decreasing throughout its domain. **Graph Sketch:** ``` y | | | | * | * | * | * | * |* |-------------------------- x ``` *(Note: The asterisks (*) represent points on the graph approaching the y-axis as \( x \) decreases and approaching the horizontal asymptote \( y = 0 \) as \( x \) increases.)* ### 4. **Additional Analysis** #### a. **Inverse Function** To find the inverse of \( f(x) \), solve for \( x \): \[ y = 0.2 \cdot \left(\frac{1}{5}\right)^x \] First, divide both sides by 0.2: \[ \frac{y}{0.2} = \left(\frac{1}{5}\right)^x \] Take the natural logarithm of both sides: \[ \ln\left(\frac{y}{0.2}\right) = x \cdot \ln\left(\frac{1}{5}\right) \] Solve for \( x \): \[ x = \frac{\ln\left(\frac{y}{0.2}\right)}{\ln\left(\frac{1}{5}\right)} \] So, the inverse function is: \[ f^{-1}(y) = \frac{\ln\left(\frac{y}{0.2}\right)}{\ln\left(\frac{1}{5}\right)} \] #### b. **Applications** Exponential decay functions like this one are commonly used to model: - **Radioactive decay** - **Depreciation of assets** - **Cooling of objects** Understanding the parameters helps in interpreting real-world scenarios where quantities decrease exponentially over time. ### 5. **Summary** - **Function Type**: Exponential decay - **Base**: \( \frac{1}{5} \) (since it's between 0 and 1) - **Y-intercept**: \( 0.2 \) - **Horizontal Asymptote**: \( y = 0 \) - **Domain**: All real numbers - **Range**: Positive real numbers If you have a specific question or need further analysis on this function, feel free to ask!

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Beyond the Answer

Did you know that the function \( f(x)=0.2(5)^{-x} \) is an example of an exponential decay function? This means that as \( x \) increases, the value of \( f(x) \) gets smaller. The base, in this case, is \( 5 \), and because it's raised to the negative power of \( x \), it causes the function to decrease exponentially, making it useful in modeling phenomena like radioactive decay or depreciation of assets. For a real-world application, consider population decline in an area due to migration or other factors. If you were to model the population \( f(x) \) over time using this function, you'd see that as time progresses (as \( x \) increases), the population represented by \( f(x) \) would diminish rapidly, illustrating how quickly certain populations can decrease under various circumstances.

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