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Question

The Fourier series expansion of x3 in the interval −1 ≤ x < 1 with periodic continuation has

The correct answer is

only sine terms

To determine the components of the Fourier series expansion of a function, we first need to understand the concept of even and odd functions and how they relate to Fourier series coefficients.

Fourier Series Expansion of x3

The Fourier series allows us to represent a periodic function as a sum of sines and cosines. For a function \(f(x)\) defined on the interval \([-L, L]\) with periodic continuation, the Fourier series is given by:

\[ f(x) = \frac{a_0}{2} + \sum_{n=1}^{\infty} \left( a_n \cos\left(\frac{n\pi x}{L}\right) + b_n \sin\left(\frac{n\pi x}{L}\right) \right) \]

where the coefficients are calculated as:

  • \( a_0 = \frac{1}{L} \int_{-L}^{L} f(x) dx \)
  • \( a_n = \frac{1}{L} \int_{-L}^{L} f(x) \cos\left(\frac{n\pi x}{L}\right) dx \)
  • \( b_n = \frac{1}{L} \int_{-L}^{L} f(x) \sin\left(\frac{n\pi x}{L}\right) dx \)

Understanding Even and Odd Functions

The nature of the function (whether it's even or odd) significantly simplifies the calculation of these coefficients:

  • A function \(f(x)\) is considered even if \(f(-x) = f(x)\). Examples include \(x^2\), \(\cos(x)\). For an even function on a symmetric interval \([-L, L]\), \(a_0\) and \(a_n\) coefficients may be non-zero, while all \(b_n\) coefficients (sine terms) are zero.
  • A function \(f(x)\) is considered odd if \(f(-x) = -f(x)\). Examples include \(x^3\), \(\sin(x)\). For an odd function on a symmetric interval \([-L, L]\), \(a_0\) and \(a_n\) coefficients (constant and cosine terms) are zero, while \(b_n\) coefficients (sine terms) may be non-zero.
  • If a function is neither even nor odd, its Fourier series will generally contain both sine and cosine terms, and potentially a constant term.

Analyzing the Function f(x) = x3

We are given the function \(f(x) = x^3\) in the interval \(-1 \le x < 1\). This interval is symmetric around zero, with \(L=1\). Let's check the parity of the function \(f(x) = x^3\):

Substitute \(-x\) into the function:

\[ f(-x) = (-x)^3 = -x^3 \]

Compare \(f(-x)\) with \(f(x)\):

We observe that \(f(-x) = -f(x)\). This condition defines an odd function.

Fourier Series Coefficients for Odd Functions

Since \(f(x) = x^3\) is an odd function over the symmetric interval \([-1, 1]\), we can determine which coefficients will be zero without explicit calculation:

  • The constant term \(a_0\) is zero because the integral of an odd function over a symmetric interval is always zero: \[ a_0 = \frac{1}{L} \int_{-L}^{L} f(x) dx = 0 \]
  • The cosine coefficients \(a_n\) are zero because the product of an odd function \(f(x)\) and an even function \(\cos\left(\frac{n\pi x}{L}\right)\) results in an odd function. The integral of an odd function over a symmetric interval is zero: \[ a_n = \frac{1}{L} \int_{-L}^{L} f(x) \cos\left(\frac{n\pi x}{L}\right) dx = 0 \]
  • The sine coefficients \(b_n\) are generally non-zero because the product of an odd function \(f(x)\) and an odd function \(\sin\left(\frac{n\pi x}{L}\right)\) results in an even function. The integral of an even function over a symmetric interval is generally non-zero: \[ b_n = \frac{1}{L} \int_{-L}^{L} f(x) \sin\left(\frac{n\pi x}{L}\right) dx = \frac{2}{L} \int_{0}^{L} f(x) \sin\left(\frac{n\pi x}{L}\right) dx \] For \(f(x) = x^3\) and \(L=1\), the \(b_n\) coefficients would be \(b_n = 2 \int_{0}^{1} x^3 \sin(n\pi x) dx\), which would yield non-zero values.
Summary of Fourier Coefficients for Even and Odd Functions
Function Type \(a_0\) (Constant Term) \(a_n\) (Cosine Terms) \(b_n\) (Sine Terms)
Even Function Non-zero (usually) Non-zero (usually) Zero
Odd Function Zero Zero Non-zero (usually)

Conclusion

Since \(f(x) = x^3\) is an odd function over the interval \(-1 \le x < 1\), its Fourier series expansion will only contain sine terms. The constant term and all cosine terms will be zero.

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Important Questions from Fourier Series

  1. If we use the Fourier transform ϕ(x, y) =  \(\int {{{\rm{e}}^{{\rm{ikx}}}}} {ϕ _{\rm{k}}}\left( {\rm{y}} \right){\rm{dk}}\)  to solve the partial differential equation  \({\rm{ - }}\frac{{{\partial ^2}ϕ \left( {x,y} \right)}}{{\partial {y^2}}}\, - \,\frac{1}{{{y^2}}}\frac{{{\partial ^2}ϕ \left( {x,y} \right)}}{{\partial {x^2}}} + \frac{{{m^2}}}{{{y^2}}}ϕ \left( {x,y} \right) = 0\)  in the half-plane {(x, y) : -∞ < x < ∞, 0 < y < ∞} the Fourier modes ϕ k(y) depend on y as y α  and y β . The values of α and β are  

  2. When a time-domain signal is converted into its Fourier representation, which of the following is/are conserved?

    I. Energy

    II. Power

  3. The trigonometric Fourier series of a periodic time function can have

  4. The Fourier series to represent x-x2 for –π ≤ x ≤ π is given by \(x - {x^2} = \frac{{{a_0}}}{2} + \mathop \sum \limits_{n = 1}^\infty {a_n}cosnx + \mathop \sum \limits_{n = 1}^\infty {b_n}sinnx\)

    The value of a0 (round off to two decimal places), is
  5. The discrete-time Fourier series representation of a signal x[n] with period N is written as \(\rm x[n] = \sum_{k = 0}^{N - 1} a_k e^{j(2kn\pi/N)}\). A discrete-time periodic signal with period N = 3, has the non-zero Fourier series coefficients: a- 3 = 2 and a4 = 1. The signal is 

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