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Show that if f is integrable on [L,L] and $$ f(x+L)=-f(x), \quad-L

Short Answer

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Short Answer Prompt: Show that if f(x+L)=f(x),L<x<0, then the Fourier series of f(x) has the form n=1(Ancos(2n1)πxL+Bnsin(2n1)πxL) Short Answer: With the given symmetry condition, compute the Fourier coefficients an and bn. The integrals can be simplified using trigonometric identities, leading to the conclusion that bn=0 when n is even. Rewrite the Fourier series of f(x) using an and bn. Comparing to the given series, identify and verify the coefficients An and Bn. Since these coefficients are periodic with a period of L and satisfy the given condition, we can confirm that the Fourier series of f(x) has the desired form.

Step by step solution

01

Compute an and bn

To find the Fourier series of f(x), we first need to calculate its coefficients an and bn. According to the Fourier series formula, these coefficients are given by: an=1LLLf(x)cosnπxLdx and bn=1LLLf(x)sinnπxLdx The given condition is f(x+L)=f(x), L<x<0. Using this condition, we can split the integrals for an and bn into two integrals: an=1L[L0f(x)cosnπxLdx+0Lf(x)cosnπxLdx] and bn=1L[L0f(x)sinnπxLdx+0Lf(x)sinnπxLdx]
02

Apply the given condition to the integrals

Now we can use the given condition f(x+L)=f(x) to simplify the integrals. For an, we substitute xx+L in the first integral: an=1L[0Lf(x+L)cosnπ(x+L)Ldx+0Lf(x)cosnπxLdx] The second integral in the expression for bn is the same as the given integral for Bn. We can rewrite the first integral in the expression for bn using xx+L: bn=1L[0Lf(x+L)sinnπ(x+L)Ldx+0Lf(x)sinnπxLdx]
03

Simplify the integrals for an and bn

The integrals can be simplified using trigonometric identities. For an: an=1L[0Lf(x+L)cosnπxLcosnπndx+0Lf(x)cosnπxLdx] Since cosnπn=(1)n, we have: an=1L[0L(1)n+1f(x+L)cosnπxLdx+0Lf(x)cosnπxLdx] For bn: bn=1L[0Lf(x)(1(1)n)sinnπxLdx] Notice that bn=0 when n is even. This means that the terms with even n in the Fourier series vanish.
04

Rewrite the Fourier series of f(x) using an and bn

Now substitute back the resulting an and bn into the Fourier series formula: f(x)=a02+n=1[1L[0L(1)n+1f(x+L)cosnπxLdx+0Lf(x)cosnπxLdx]cosnπxL+bnsinnπxL]
05

Show that the given series satisfies the given condition

Compare this with the given series n=1(Ancos(2n1)πxL+Bnsin(2n1)πxL) By observing the formulas, we can identify the coefficients as follows: An=2L0Lf(x)cos(2n1)πxLdx and Bn=2L0Lf(x)sin(2n1)πxLdx,n=1,2,3, Because these coefficients are periodic with a period of L and their integrals satisfy the given condition, we can conclude that the given series indeed satisfies the condition: f(x+L)=f(x), L<x<0

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Key Concepts

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

Integrable Functions
Integrable functions are a fundamental concept in mathematical analysis. For a function to be considered integrable over an interval, it must be possible to calculate the area under the curve of the function within that interval. This is mostly done using the concept of the Riemann integral.
In the problem above, the function f(x) is stated to be integrable over the interval [L,L]. This means:
  • The function f(x) is sufficiently well-behaved, with no unreasonable spikes or discontinuities, so that the integral LLf(x)dx exists and is finite.
  • Functions that exhibit symmetry conditions, like f(x+L)=f(x), often simplify the calculation of Fourier coefficients because they exhibit regular patterns over a full period.
  • The specific condition given ensures symmetry around the origin, which is particularly useful in simplifying integrals involving trigonometric functions.
Understanding the integrability of a function helps ensure that the mathematical operations involving Fourier series are valid, as these series inherently rely on integrals to find coefficients.
Trigonometric Identities
Trigonometric identities are equations involving trigonometric functions that hold for all values of the variables within the identities' domains. They are used extensively in the simplification of mathematical expressions, especially when dealing with Fourier series as in this exercise.
Here, key identities used include:
  • cos(a+b)=cosacosbsinasinb
  • sin(a+b)=sinacosb+cosasinb
These identities are crucial when manipulating the expressions involved in computing the Fourier coefficients an and bn.
Moreover, the identity cos(πn)=(1)n is particularly helpful in simplifying calculations, especially illustrating how the Fourier series modifies when treating conditions like f(x+L)=f(x). Also:
  • These identities can transform expressions into forms that reveal symmetrical properties of trigonometric functions, thereby helping to eliminate terms in these transformations.
  • Using these can reduce complexity, showing how terms become zero under specific periodic extensions, as shown for even terms of bn.
Mastering these identities enables you to solve complex problems by transforming and simplifying terms and leading to clearer solutions.
Fourier Coefficients
Fourier coefficients are the building blocks of a Fourier series. They determine the weights of the trigonometric functions that together approximate the given function over a specified interval.
In this exercise, the Fourier series is derived based on the coefficients An and Bn, calculated from:
  • An=2L0Lf(x)cos(2n1)πxLdx
  • Bn=2L0Lf(x)sin(2n1)πxLdx
These coefficients play the role of tuning the amplitude of each corresponding trigonometric term in the series.
They provide important insights:
  • The cosine coefficients An relate to the even symmetry components of f(x).
  • The sine coefficients Bn relate to the odd symmetry parts. Due to the function's antisymmetric property f(x+L)=f(x), bn is often zero for even n.
  • The choice of odd harmonics (2n1) reflects a pattern that aligns with the given condition f(x+L)=f(x) and shows how Fourier series accommodate function properties beyond standard periodicity.
Understanding how these coefficients work allows you to reconstruct functions and understand their properties and behaviors through their series expansion, thereby enabling advanced analyses and applications in signal processing, differential equations, and heat transfer, among others.

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