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Determine the Taylor series about the point \(x_{0}\) for the given function. Also determine the radius of convergence of the series. \(x^{2}, \quad x_{0}=-1\)

Short Answer

Expert verified
Based on the given step-by-step solution, the Taylor series of the function \(f(x) = x^2\) about the point \(x_{0} = -1\) is \(2x^2 + 2x\), and the radius of convergence is infinite.

Step by step solution

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01

Find the n-th derivative of the function

For the given function \(f(x)=x^2\), we can start by finding the first few derivatives of the function with respect to x: \(f'(x) = 2x\) \(f''(x) = 2\) \(f'''(x) = 0\) We can easily observe that all the higher order derivatives beyond the second one will be 0.
02

Determine the Taylor series about the point \(x_{0} = -1\)

To find the Taylor series, we can use the formula for the n-th term of the Taylor series centered around \(x_0\): \(a_n = \dfrac{f^{(n)}(x_0)}{n!} (x-x_0)^n\) We already found the n-th derivatives of \(f(x)\) in step 1. Now, let's plug them into the formula: \(a_0 = \dfrac{f(-1)}{0!} (x-(-1))^0 = 1\) \(a_1 = \dfrac{f'(-1)}{1!} (x-(-1))^1 = -2(x+1)\) \(a_2 = \dfrac{f''(-1)}{2!} (x-(-1))^2 = 2(x+1)^2\) Since after n=2 all the higher derivatives are zero, there won't be any higher terms in the Taylor series. So, the Taylor series for \(f(x)=x^2\) around \(x_0=-1\) is: \(1 - 2(x+1) + 2(x+1)^2 = 1 - 2x - 2 + 2x^2 + 4x + 2 = 2x^2+2x\).
03

Find the radius of convergence

For this function, the Taylor series is a polynomial, meaning that there won't be an infinite number of terms. Therefore, the radius of convergence for this series will be infinite. The function converges for all x in the real number line. To summarize, the Taylor series of \(f(x)=x^2\) about the point \(x_{0}=-1\) is \(2x^2+2x\), and the radius of convergence is infinite.

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Radius of Convergence
Understanding the radius of convergence is essential when working with power series, as it defines the set of values for which the series converges. For any power series \(\sum a_n(x-x_0)^n\), the radius of convergence (R) is the distance from the center \(x_0\) to the nearest point where the series ceases to converge. A series can converge at points within this radius, while it may diverge if attempting to go beyond.

To determine the radius of convergence, various tests such as the Ratio Test, Root Test, or comparison with known series can be used. In our exercise, the Taylor series for the function \(f(x)=x^2\) about the point \(x_0=-1\) is \(2x^2+2x\), which is a polynomial with a finite number of terms. Since a polynomial does not have terms continuing indefinitely, the radius of convergence is infinite, indicating that the series converges for all real numbers.
Nth Derivative
The process of differentiation can be extended beyond the first or second derivative to the nth derivative. The nth derivative of a function represents the rate of change of the \( (n-1) \)-th derivative with respect to the independent variable, often denoted as \( f^{(n)}(x) \).

For example, if starting with the function \( f(x) = x^2 \), the first derivative is \( f'(x) = 2x \), and the second derivative is \( f''(x) = 2 \). As we continue this process, we observe that all successive derivatives after \( f''(x) \) will be zero. This property of derivatives ceasing to produce new non-zero terms is crucial when forming Taylor series, as it determines the number of non-zero terms in the expansion.
Power Series
A power series is an infinite series of the form \(\sum a_n(x-x_0)^n\), where \(a_n\) represents the series coefficients, \(x\) is the variable, and \(x_0\) is the center of the series. Power series are highly valued for their role in approximating functions through an infinite sum of polynomial terms. Each term in a power series can be viewed as a contribution to the function's approximation near the center \(x_0\).

Power series demonstrate a wide array of behaviors when it comes to convergence. Depending on the value of \(x\), a power series may converge to a finite number, diverge, or oscillate. In the context of our exercise, the Taylor series formed for the function \( f(x)=x^2 \) at \( x_0=-1 \) is also a power series that just happens to terminate, simplifying its convergence analysis—as it's a polynomial, convergence is guaranteed on the entire real line.
Convergence of Series
The convergence of a series refers to whether the sequence of partial sums of the series approaches a finite limit as its number of terms goes to infinity. Identifying whether a series converges is critical in multiple areas of mathematics and physics, as it assures that sums of infinitely many terms make sense and can be used in calculations.

To determine the convergence of a series, various tests are employed, such as the Integral Test, Comparison Test, Ratio Test, or Alternating Series Test. In our exercise's case, since the Taylor series produces a polynomial, the question of convergence is straightforward; with finite terms, the series will converge to the function itself within the infinite radius of convergence. In other scenarios where series are not finite, careful testing is needed to assess their behavior.

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Most popular questions from this chapter

Consider the differential equation $$ x^{3} y^{\prime \prime}+\alpha x y^{\prime}+\beta y=0 $$ where \(\alpha\) and \(\beta\) are real constants and \(\alpha \neq 0\). (a) Show that \(x=0\) is an irregular singular point. (b) By attempting to determine a solution of the form \(\sum_{n=0}^{\infty} a_{n} x^{r+n},\) show that the indicial equation for \(r\) is linear, and consequently there is only one formal solution of the assumed form. (c) Show that if \(\beta / \alpha=-1,0,1,2, \ldots,\) then the formal series solution terminates and therefore is an actual solution. For other values of \(\beta / \alpha\) show that the formal series solution has a zero radius of convergence, and so does not represent an actual solution in any interval.

Find all singular points of the given equation and determine whether each one is regular or irregular. \((\sin x) y^{\prime \prime}+x y^{\prime}+4 y=0\)

Consider the differential equation $$ y^{\prime \prime}+\frac{\alpha}{x^{s}} y^{\prime}+\frac{\beta}{x^{t}} y=0 $$ where \(\alpha \neq 0\) and \(\beta \neq 0\) are real numbers, and \(s\) and \(t\) are positive integers that for the moment are arbitrary. (a) Show that if \(s>1\) or \(t>2,\) then the point \(x=0\) is an irregular singular point. (b) Try to find a solution of Eq. (i) of the form $$ y=\sum_{n=0}^{\infty} a_{n} x^{r+n}, \quad x>0 $$ Show that if \(s=2\) and \(t=2,\) then there is only one possible value of \(r\) for which there is a formal solution of Eq. (i) of the form (ii). (c) Show that if \(\beta / \alpha=-1,0,1,2, \ldots,\) then the formal solution terminates and therefore is an actual solution. For other values of \(\beta / \alpha\) show that the formal series solution has a zero radius of convergence, and so does not represent an actual solution in any interval.

Find all singular points of the given equation and determine whether each one is regular or irregular. \(x^{2} y^{\prime \prime}-3(\sin x) y^{\prime}+\left(1+x^{2}\right) y=0\)

The Legendre Equation. Problems 22 through 29 deal with the Legendre equation $$ \left(1-x^{2}\right) y^{\prime \prime}-2 x y^{\prime}+\alpha(\alpha+1) y=0 $$ As indicated in Example \(3,\) the point \(x=0\) is an ordinaty point of this equation, and the distance from the origin to the nearest zero of \(P(x)=1-x^{2}\) is 1 . Hence the radius of convergence of series solutions about \(x=0\) is at least 1 . Also notice that it is necessary to consider only \(\alpha>-1\) because if \(\alpha \leq-1\), then the substitution \(\alpha=-(1+\gamma)\) where \(\gamma \geq 0\) leads to the Legendre equation \(\left(1-x^{2}\right) y^{\prime \prime}-2 x y^{\prime}+\gamma(\gamma+1) y=0\) Show that two linearly independent solutions of the Legendre equation for \(|x|<1\) are $$ \begin{aligned} y_{1}(x)=& 1+\sum_{m=1}^{\infty}(-1)^{m} \\ & \times \frac{\alpha(\alpha-2)(\alpha-4) \cdots(\alpha-2 m+2)(\alpha+1)(\alpha+3) \cdots(\alpha+2 m-1)}{(2 m) !} x^{2 m} \\ y_{2}(x)=& x+\sum_{m=1}^{\infty}(-1)^{m} \\ & \times \frac{(\alpha-1)(\alpha-3) \cdots(\alpha-2 m+1)(\alpha+2)(\alpha+4) \cdots(\alpha+2 m)}{(2 m+1) !} x^{2 m+1} \end{aligned} $$

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