Problem 8
Question
For the limit $$ \lim_{x \to 0}\frac{e^{2x} - 1}{x} = 2 $$ illustrate Definition 2 by finding values of \( \delta \) that correspond to \( \varepsilon = 0.5 \) and \( \varepsilon = 0.1 \).
Step-by-Step Solution
Verified Answer
For \( \varepsilon = 0.5 \), \( \delta = 0.25 \); for \( \varepsilon = 0.1 \), \( \delta = 0.05 \).
1Step 1: Understand the Definition of a Limit
The formal definition of a limit states that for \( \lim_{x \to a} f(x) = L \), for every \( \varepsilon > 0 \), there exists a \( \delta > 0 \) such that if \( 0 < |x - a| < \delta \), then \( |f(x) - L| < \varepsilon \). In this problem, we need to find \( \delta \) for which \( \left| \frac{e^{2x} - 1}{x} - 2 \right| < \varepsilon \).
2Step 2: Substitute and Simplify
Substitute the given functions and the limit value into the definition: \( \left| \frac{e^{2x} - 1}{x} - 2 \right| < \varepsilon \). Simplify the inequality: \[ \left| \frac{e^{2x} - 1 - 2x}{x} \right| < \varepsilon. \] This can further be simplified to \( |e^{2x} - 1 - 2x| < \varepsilon |x| \).
3Step 3: Estimate \( \delta \) for \( \varepsilon = 0.5 \)
For \( \varepsilon = 0.5 \), we want \( |e^{2x} - 1 - 2x| < 0.5|x| \). For small \( x \), use the approximation \( e^{2x} \approx 1 + 2x + 2x^2 \), yielding \( |2x^2| < 0.5|x| \). Solving \( |2x| < 0.5 \) gives \( |x| < 0.25 \). Thus, choose \( \delta = 0.25 \).
4Step 4: Estimate \( \delta \) for \( \varepsilon = 0.1 \)
Now, solve the inequality \( |e^{2x} - 1 - 2x| < 0.1|x| \) with the approximation earlier, \( |2x^2| < 0.1|x| \), leading to \( |2x| < 0.1 \). Solving gives \( |x| < 0.05 \). So, choose \( \delta = 0.05 \).
5Step 5: Conclusion
According to the steps above, for \( \varepsilon = 0.5 \), we can choose \( \delta = 0.25 \) and for \( \varepsilon = 0.1 \), \( \delta = 0.05 \). These values of \( \delta \) show that the limit satisfies the definition given specific \( \varepsilon \) values.
Key Concepts
Limit of a FunctionExponential FunctionApproximations in Calculus
Limit of a Function
The concept of the limit of a function is foundational in calculus. Limits allow us to understand the behavior of a function as the input (or variable) approaches a certain point. Essentially, the limit tells us what value the function is getting closer to even if it never quite reaches that value. In the problem above, for \( \lim_{x \to 0}\frac{e^{2x} - 1}{x} = 2 \), the limit is examined as \( x \) approaches zero.
Here's how it works:
Here's how it works:
- We are interested in what happens to \( \frac{e^{2x} - 1}{x} \) as \( x \to 0 \).
- The result should be that this expression gets closer and closer to 2.
- Mathematically, we confirm this using the epsilon-delta definition of a limit, seeking a \( \delta \) for each \( \varepsilon \), to satisfy \( \left| \frac{e^{2x} - 1}{x} - 2 \right| < \varepsilon \).
Exponential Function
Exponential functions, such as \( e^{2x} \), play a crucial role in calculus due to their unique properties. These functions are defined by having a constant base raised to a variable exponent, and they exhibit fast growth or decay.
Key Characteristics:
Key Characteristics:
- Rapid Growth or Decay: As the exponent grows larger, the value of the function increases rapidly, depending on whether the base is greater or less than one.
- Continuous and Differentiable: Exponential functions are smooth and continuous, making them easy to analyze and integrate into calculus problems.
- E = Euler's Number: The base \( e \), approximately 2.718, is a prevalent choice, being the natural exponential constant due to properties like \( \frac{d}{dx} e^x = e^x \).
Approximations in Calculus
Approximations are indispensable tools in calculus, helping us simplify complex expressions and make calculations manageable. When dealing with limits, especially, we often approximate functions to see how components behave as they become infinitely small or large.
Considerations Include:
Considerations Include:
- Simplifying Expressions: We use approximations like \( e^{2x} \approx 1 + 2x + 2x^2 \) to reduce the complexity of exponential expressions.
- Highlighting Main Term Contributions: When \( x \) is small, higher-order terms (like \( 2x^2 \) in our problem) contribute less to the overall function, thus can often be omitted for easier computations.
- Building Intuition: These approximations don't just ease calculations but help us intuitively understand how functions behave — seeing first-hand how changes in \( x \) affect the overall function gives powerful insights.
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