Problem 50
Question
Give an example of: A Taylor series that is convergent at \(x=-1\).
Step-by-Step Solution
Verified Answer
The Taylor series for \( e^x \) converges at \( x = -1 \).
1Step 1: Define a known function with a Taylor series
A common choice for a Taylor series is the exponential function, \( e^x \), which has a Taylor series centered at \( x = 0 \):\[e^x = \sum_{n=0}^{fty} \frac{x^n}{n!}.\]
2Step 2: Evaluate the convergence at x = -1
To determine if the series converges at \( x = -1 \), substitute \(-1\) into the Taylor series:\[e^{-1} = \sum_{n=0}^{fty} \frac{(-1)^n}{n!}.\]This series is known to be convergent for all \( x \) because the exponential function \( e^x \) converges everywhere.
3Step 3: Verify using the Ratio Test
To confirm the convergence at \( x = -1 \), apply the Ratio Test:- Consider \( a_n = \frac{(-1)^n}{n!} \).- Compute the ratio:\[\left|\frac{a_{n+1}}{a_n}\right| = \left|\frac{(-1)^{n+1}}{(n+1)!} \cdot \frac{n!}{(-1)^n}\right| = \frac{1}{n+1}.\]- The limit as \( n \to \infty \) of this ratio is 0, which is less than 1, indicating convergence by the Ratio Test.
Key Concepts
Exponential FunctionConvergenceRatio Test
Exponential Function
The exponential function, denoted as \( e^x \), is one of the most important functions in mathematics. It is often chosen for Taylor series examples due to its nice and well-behaved properties.
The Taylor series for the exponential function centered at \( x = 0 \) can be expressed as:
This convergence property makes the exponential function a handy tool in math, especially when needing a function that behaves nicely under integration and differentiation.
The Taylor series for the exponential function centered at \( x = 0 \) can be expressed as:
- \( e^x = \sum_{n=0}^{\infty} \frac{x^n}{n!} \)
This convergence property makes the exponential function a handy tool in math, especially when needing a function that behaves nicely under integration and differentiation.
Convergence
Convergence is a fundamental concept when dealing with series like Taylor series. In simple terms, it refers to whether the sum of the series approaches a fixed number as more terms are added. If it does, we say the series is convergent. If not, it is divergent.
For the Taylor series of \( e^x \), convergence at a specific point like \( x = -1 \) can be checked by substituting \( -1 \) into the series expression, resulting in:
For the Taylor series of \( e^x \), convergence at a specific point like \( x = -1 \) can be checked by substituting \( -1 \) into the series expression, resulting in:
- \( e^{-1} = \sum_{n=0}^{\infty} \frac{(-1)^n}{n!} \)
Ratio Test
The Ratio Test is a method used to determine the convergence of an infinite series. It's a simple yet powerful tool in calculus and analysis.
To use the Ratio Test on a series with terms \( a_n \), compute the limit of the absolute value of the ratio of successive terms as \( n \) approaches infinity:
For the series \( e^{-1} = \sum_{n=0}^{\infty} \frac{(-1)^n}{n!} \), applying the Ratio Test involves calculating:
To use the Ratio Test on a series with terms \( a_n \), compute the limit of the absolute value of the ratio of successive terms as \( n \) approaches infinity:
- \( \left| \frac{a_{n+1}}{a_n} \right| \)
For the series \( e^{-1} = \sum_{n=0}^{\infty} \frac{(-1)^n}{n!} \), applying the Ratio Test involves calculating:
- \( \left| \frac{(-1)^{n+1}}{(n+1)!} \cdot \frac{n!}{(-1)^n} \right| = \frac{1}{n+1} \)
- As \( n \rightarrow \infty \), this becomes 0, which is less than 1
Other exercises in this chapter
Problem 50
Decide if the statements in Problems are true or false. Give an explanation for your answer. The quadratic approximation to \(f(x)\) for \(x\) near 0 is better
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give an example of: A function \(f(x)\) that does not have a Taylor series around 0 even though \(f(0)\) is defined.
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Decide if the statements are true or false. Assume that the Taylor series for a function converges to that function. Give an explanation for your answer. To fin
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Decide if the statements in Problems are true or false. Give an explanation for your answer. The linear approximation to \(f(x)\) near \(x=-1\) shows that if \(
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