Problem 55
Question
The series $$ \sin x=x-\frac{x^{3}}{3 !}+\frac{x^{5}}{5 !}-\frac{x^{7}}{7 !}+\frac{x^{9}}{9 !}-\frac{x^{11}}{11 !}+\cdots $$ converges to sin \(x\) for all \(x\) $$ \begin{array}{l}{\text { a. Find the first six terms of a series for cos } x \text { . For what values }} \\ {\text { of } x \text { should the series converge? }} \\ {\text { b. By replacing } x \text { by } 2 x \text { in the series for sin } x, \text { find a series that }} \\ {\text { converges to } \sin 2 x \text { for all } x \text { . }}\\\\{\text { c. Using the result in part (a) and series multiplication, calculate }} \\ {\text { the first six terms of a series for } 2 \sin x \text { cos } x \text { . Compare your }} \\\ {\text { answer with the answer in part (b). }}\end{array} $$
Step-by-Step Solution
VerifiedKey Concepts
Series Expansion
For example, the series expansion for \(\sin x\) is given by:
- \(\sin x = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \frac{x^7}{7!} + \cdots\)
- \(\cos x = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \frac{x^6}{6!} + \cdots\)
Convergence
In the context of a Taylor series, such as the series for \(\sin x\) and \(\cos x\), the series converges if the values it produces get increasingly accurate as more terms are added. For these trigonometric series, convergence means the series reliably estimates the original function across specified intervals.
For instance, both the \(\sin x\) and \(\cos x\) series converge for all real numbers, denoted by \(\mathbb{R}\). This convergence is guaranteed because they are well-behaved mathematical functions with infinite domains. Understanding when a series converges is crucial. It tells us if and where the series can be used to approximate a function accurately in calculus and other mathematical applications.
Trigonometric Series
The trigonometric series expansion for \(\sin x\) is expressed as:
- \(\sin x = x - \frac{x^3}{6} + \frac{x^5}{120} - \cdots\)
- \(\cos x = 1 - \frac{x^2}{2} + \frac{x^4}{24} - \cdots\)
The knowledge of trigonometric series aids in comprehending complex wave patterns or oscillations in various scientific and technical domains. This insight is essential when calculating precise waveforms and fluctuations in disciplines ranging from signal processing to quantum physics.