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Let \(f(x)\) be defined for \(-\pi

Short Answer

Expert verified
The Fourier series converges to \(f(x) = \cos\left(\frac{3}{2}x \right)\); at \(x=n\cdot\frac{\pi}{2}\), the sum is \(\cos \left(\frac{3n\pi}{4} \right)\).

Step by step solution

01

Understand the Problem

We have a function defined as a periodic extension of a cosine function: \( f(x) = \cos\left(\frac{3}{2}x \right) \) for \(-\pi < x < \pi\) and \( f(x) = f(x + 2\pi) \) otherwise. We need to find its Fourier series and check convergence for all \(x\). Finally, we'll evaluate the series at special points \(x = n \cdot \frac{\pi}{2}\).
02

Identify the Period

Since \( f(x) = f(x + 2\pi) \), the function is periodic with period \(2\pi\). Therefore, the Fourier series will also have period \(2\pi\).
03

Write the Fourier Series Form

The Fourier series for a function \(f(x)\) with period \(2\pi\) is given by: \[ f(x) = a_0 + \sum_{n=1}^{\infty} \left( a_n \cos(nx) + b_n \sin(nx) \right) \] where the coefficients \(a_0\), \(a_n\), and \(b_n\) are determined by integrating over one period.
04

Calculate the Coefficient \(a_0\)

The coefficient \(a_0\) is given by: \[ a_0 = \frac{1}{2\pi} \int_{-\pi}^{\pi} \cos\left(\frac{3}{2}x \right) \, dx \].Due to symmetry, the integral of a cosine over its full period yields zero: \[ a_0 = 0 \].
05

Calculate the Coefficients \(a_n\)

The coefficients \(a_n\) are determined by: \[ a_n = \frac{1}{\pi} \int_{-\pi}^{\pi} \cos \left(\frac{3}{2} x\right) \cos(nx) \, dx \]. This integral is non-zero only for \( n = \frac{3}{2} \). However, \(n\) must be an integer, and there is no positive integer that satisfies this condition in general. Therefore, \[ a_n = 0 \].
06

Calculate the Coefficients \(b_n\)

The coefficients \(b_n\) are given by: \[ b_n = \frac{1}{\pi} \int_{-\pi}^{\pi} \cos \left( \frac{3}{2} x \right) \sin(nx) \, dx \]. This integral is generally non-zero when \( n = \frac{3}{2} \), which again is not an integer, leading to:\[ b_n = 0 \].
07

Conclude the Fourier Series

Given that both \(a_n\) and \(b_n\) are zero for all \(n eq \frac{3}{2}\) (which are integers), the Fourier series simplifies to only the function itself without any terms belonging to the series expansion. Thus, \[ f(x) = \cos\left(\frac{3}{2}x \right)\] on \(-\pi < x < \pi \).
08

Investigate Convergence

For a periodic function such as a cosine, the Fourier series converges to \(f(x)\) itself if \(f\) is continuous. Since \(f(x) = \cos\left(\frac{3}{2}x \right)\) is continuous and periodic with period \(2\pi\), the series converges to \(f(x)\) everywhere.
09

Evaluate at Special Points

To find the sum at \(x = n\cdot\frac{\pi}{2}\): Since the Fourier series represents the function itself, for any integer \(n\), \[ f\left(n \cdot \frac{\pi}{2} \right) = \cos \left(\frac{3n\pi}{4} \right) \].

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Key Concepts

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

Convergence of Series
A series is said to converge if the partial sums of the series approach a certain value as more and more terms are added. For a Fourier series representing a periodic function, convergence implies that as we add more terms in the series, the result becomes increasingly close to the function it represents. One important condition for the convergence of a Fourier series is that the function it represents is continuous over its domain.

In the case of the periodic function defined as \( f(x) = \cos \left(\frac{3}{2}x \right) \), the function is continuous between \(-\pi\) and \(\pi\). This continuity ensures that the Fourier series will converge to the function itself across its domain. The convergence of a Fourier series to a piecewise smooth and continuous function is guaranteed by Dirichlet's conditions, which assure us that the series will appropriately represent the function at every point.
  • Continuity helps ensure the series converges.
  • Fourier series converges to the actual function where it is continuous.
  • Discontinuities in the function may result in non-convergence at specific points.
Periodic Functions
Periodic functions are functions that repeat their values over regular intervals. A function \(f(x)\) is said to be periodic with period \(T\) if \(f(x+T) = f(x)\) for all values of \(x\). The function defined in the exercise, \(f(x) = \cos \left(\frac{3}{2}x \right)\), continues these values for all \(x\) with the rule \(f(x) = f(x + 2\pi)\). Thus, it is a periodic function with the period \(2\pi\).

Periodic functions are fundamental in the study of Fourier series because such functions can be expressed as a sum of sines and cosines, each of which has properties of periodicity. This decomposition into simpler oscillatory components allows us to analyze complex periodic phenomena through their Fourier series.
  • Periodic functions repeat values over consistent intervals.
  • Understanding periodicity helps in identifying the range over which the function essentially "resets".
  • Fourier series are a natural tool for decomposing periodic functions.
Cosine Function
The cosine function \(\cos(x)\) is a fundamental trigonometric function exhibiting wave-like periodic behavior. The function completes one full cycle every \(2\pi\) units of \(x\). Within each cycle, \(\cos(x)\) starts from 1, decreases to -1, and returns to 1. It is even-function symmetry, which means \(\cos(-x) = \cos(x)\), making it particularly useful for representing symmetrical waveforms.
In the problem, the function is modified to \(\cos \left(\frac{3}{2}x \right)\), which changes the frequency of oscillation and affects how many cycles occur within a given interval. With \(\frac{3}{2}\) as the frequency multiplier, the function oscillates more frequently compared to a standard cosine. This is critical to forming a Fourier series representation, as our component functions must align perfectly within the defined interval.
Cosine functions are crucial in Fourier series because:
  • They maintain even symmetry, simplifying calculations.
  • Alterations in frequency multiply the number of times the function crosses its mean value within one period.
  • They contribute to expressing and analyzing periodic functions efficiently within a Fourier series.

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