The Fourier series expansion of x3 in the interval −1 ≤ x < 1 with periodic continuation has
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.
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:
The nature of the function (whether it's even or odd) significantly simplifies the calculation of these coefficients:
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.
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:
| 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) |
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.
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
When a time-domain signal is converted into its Fourier representation, which of the following is/are conserved?
I. Energy
II. Power
The trigonometric Fourier series of a periodic time function can have
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), isThe 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