Compute the Fourier Series decomposition of a square waveform with 90% duty cycle

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Answer 1

The Fourier series decomposition of the square waveform with a 90% duty cycle is given by: f(t) = (a0/2) + ∑[(an * cos((2πnt)/T)) + (bn * sin((2πnt)/T))]

The Fourier series decomposition for a square waveform with a 90% duty cycle:

Definition of the Square Waveform:

The square waveform with a 90% duty cycle is defined as follows:

For 0 ≤ t < T0.9 (90% of the period), the waveform is equal to +1.

For T0.9 ≤ t < T (10% of the period), the waveform is equal to -1.

Here, T represents the period of the waveform.

Fourier Series Coefficients:

The Fourier series coefficients for this waveform can be computed using the following formulas:

a0 = (1/T) ∫[0 to T] f(t) dt

an = (2/T) ∫[0 to T] f(t) cos((2πnt)/T) dt

bn = (2/T) ∫[0 to T] f(t) sin((2πnt)/T) dt

where a0, an, and bn are the Fourier coefficients.

Computation of Fourier Coefficients:

For the given square waveform with a 90% duty cycle, we have:

a0 = (1/T) ∫[0 to T] f(t) dt = 0 (since the waveform is symmetric around 0)

an = 0 for all n ≠ 0 (since the waveform is symmetric and does not have cosine terms)

bn = (2/T) ∫[0 to T] f(t) sin((2πnt)/T) dt

Computation of bn for n = 1:

We need to compute bn for n = 1 using the formula:

bn = (2/T) ∫[0 to T] f(t) sin((2πt)/T) dt

Breaking the integral into two parts (corresponding to the two regions of the waveform), we have:

bn = (2/T) [∫[0 to T0.9] sin((2πt)/T) dt - ∫[T0.9 to T] sin((2πt)/T) dt]

Evaluating the integrals, we get:

bn = (2/T) [(-T0.9/2π) cos((2πt)/T)] from 0 to T0.9 - (-T0.1/2π) cos((2πt)/T)] from T0.9 to T

bn = (2/T) [(T - T0.9)/2π - (-T0.9)/2π]

bn = (T - T0.9)/π

Fourier Series Decomposition:

The Fourier series decomposition of the square waveform with a 90% duty cycle is given by:

f(t) = (a0/2) + ∑[(an * cos((2πnt)/T)) + (bn * sin((2πnt)/T))]

However, since a0 and an are 0 for this waveform, the decomposition simplifies to:

f(t) = ∑[(bn * sin((2πnt)/T))]

For n = 1, the decomposition becomes:

f(t) = (T - T0.9)/π * sin((2πt)/T)

This represents the Fourier series decomposition of the square waveform with a 90% duty cycle, including the computation of the Fourier coefficients and the final decomposition expression for the waveform.

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