A pulse described by the Dirac delta function \(\delta(t)\) has negligible duration, infinite height at \(t=0\), but unit area. Find the amplitude spectrum of \(\delta(t)\) as a limiting case by setting the area of the rectangular pulse in Prob. 1222 equal to unity and then letting \(\tau \rightarrow 0 .\) Answer: \(F(\omega)=1\).

Short Answer

Expert verified
Answer: The amplitude spectrum of a Dirac delta function is a constant, and its value is 1.

Step by step solution

01

Rectangular pulse

Let's define a rectangular pulse \(g(t)\) with width \(\tau\) and height \(\frac{1}{\tau}\), so that its area is equal to 1. We then need to find its Fourier transform. The pulse can be defined as follows: $$ g(t) = \begin{cases} \frac{1}{\tau}, & -\frac{\tau}{2} \le t \le \frac{\tau}{2} \\ 0, & \text{otherwise} \end{cases} $$
02

Compute the Fourier transform

To find the pulse's amplitude spectrum, we need to compute its Fourier transform. We can write the Fourier transform of \(g(t)\) as: $$ G(\omega) = \int_{-\infty}^{\infty} g(t) e^{-j \omega t} dt $$ When \(t\) is outside the pulse, \(g(t)\) is equal to 0. So we will compute the integral over the pulse's region: $$ G(\omega) = \int_{-\frac{\tau}{2}}^{\frac{\tau}{2}} \frac{1}{\tau} e^{-j \omega t} dt $$
03

Evaluate the integral

Now we solve the integral: $$ G(\omega) = \frac{1}{\tau} \int_{-\frac{\tau}{2}}^{\frac{\tau}{2}} e^{-j \omega t} dt \\ G(\omega)=\frac{1}{\tau} \left[\frac{e^{-j\omega t}}{-j\omega}\right]_{-\frac{\tau}{2}}^{\frac{\tau}{2}} \\ G(\omega)= \frac{1}{\tau}\left(\frac{e^{-j\omega \frac{\tau}{2}} - e^{j\omega \frac{\tau}{2}}}{-j \omega}\right) $$
04

Simplify the expression

We can simplify the expression using the sine function: $$ G(\omega)= \frac{1}{\tau} \cdot \frac{2}{\omega} \cdot \frac{e^{-j\omega \frac{\tau}{2}} - e^{j\omega \frac{\tau}{2}}}{-2j} \\ G(\omega)= \frac{1}{\tau} \cdot \frac{2}{\omega} \cdot \sin\left(\frac{\omega \tau}{2}\right) $$
05

Find the limiting case

Now, we need to find the limit \(\tau \rightarrow 0\) of \(G(\omega)\) to obtain the amplitude spectrum of the Dirac delta function: $$ F(\omega) = \lim_{\tau \to 0} G(\omega) = \lim_{\tau \to 0} \frac{1}{\tau} \cdot \frac{2}{\omega} \cdot \sin\left(\frac{\omega \tau}{2}\right) $$ As \(\tau \rightarrow 0\), the sine term approaches zero as well since \(\sin(0) = 0\), but the product \(\frac{1}{\tau} \cdot \frac{2}{\omega}\) approaches infinity. We can use L'Hospital's rule to find this limit: $$ F(\omega) = \lim_{\tau \to 0} \frac{\sin\left(\frac{\omega \tau}{2}\right)}{\frac{\omega \tau}{2}} $$ Applying L'Hospital's rule, we differentiate both numerator and denominator with respect to \(\tau\): $$ F(\omega) = \lim_{\tau \to 0} \frac{\frac{1}{2} \omega \cos\left(\frac{\omega \tau}{2}\right)}{\frac{1}{2} \omega} \\ F(\omega) = \lim_{\tau \to 0} \cos\left(\frac{\omega \tau}{2}\right) $$ Finally, when \(\tau=0\): $$ F(\omega) = \cos(0) = 1 $$ So the amplitude spectrum of the Dirac delta function is a constant, and \(F(\omega)=1\).

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Most popular questions from this chapter

A sinusoidal voltage \(V=V_{0} \cos \omega t\), whose frequency can be varied, is applied to the terminals of a network, and the component of the current in phase with \(V\) is found to be \(I_{r}=\left[V_{0} / R\left(1+\omega^{2} \tau^{2}\right)\right] \cos \omega t .\) Use (12.7.15) to find the out-of-phase component of current. What is the input impedance of the network?

The voltage gain of a multistage low-pass a mplifier is accurately approximated by the gaussian function $$ |\breve{G}(\omega)|=G_{0} e^{-(\omega / 2 \pi \Delta \omega)^{2}} . $$ Show that \(\Delta \omega\) is the rms bandwidth of the amplifier. Show also that the so-called \(u p p e r\) halfpower frequency \(\nu_{0}\) [the frequency at which \(\left(|\breve{G}| / G_{0}\right)^{2}=\frac{1}{2}\) ] is related to \(\Delta \omega\) by $$ \nu_{0} \approx 0.6 \Delta \omega, $$ where \(\nu_{0}\) is an ordinary (cyclic) frequency. Show then that the uncertainty relation (12.2.7) implies that $$ \nu_{0} \Delta t \approx \frac{1}{3} $$ when \(\Delta t\), the duration of a narrow pulse whose frequency spectrum is limited by the amplifier, has its minimum permitted value. This form of the uncertainty relation expresses reasonably well the relation between the rise- time of an amplifier (see Prob. 11.4.3 for a definition of risetime) and its bandwidth expressed by its upper half-power frequency.

Find, using (12.2.2), the Fourier transform \(F(\omega)\) of a single rectangular pulse of amplitude \(a\) extending from \(-\tau\) to \(+\tau\). Substitute this \(F(\omega)\) in (12.2.1) and compare the resulting expression with (12.1.8), obtained from the Fourier series expansion of a sequence of rectangular pulses.

Show that the Fourier transform of \(f(t)=e^{-(t / \tau)^{2}}\) is \(e^{-(\omega \tau / 2 \pi)^{2}}\). Show that the duration of \(f(t)\), defined by \((12.24)\), is \(\tau / 2\) and that the width \(\Delta \omega\) of its energy spectrum, defined by \((12.2 .5)\), is \(1 / \tau\) and hence that the product \(\Delta l \Delta \omega\) has precisely the minimum value \(\frac{1}{2}\) permitted by the uncertainty relation (12.2.7).

Establish the integral $$ \int_{0}^{\infty} \sin a t \cos b t d t=\frac{a^{2}}{a^{2}-b^{2}} $$ by first multiplying the integrand by \(e^{-s t}\) and allowing \(s \rightarrow 0\) after integration. This, or a similar artifice, is of necessary in evaluating Fourier transform integrals. A Fourier transform so evaluated is then described as a limiting form.

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