Group velocity for a discrete superposition of waves

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For a superposition of two sine waves in dispersive media, the group velocity is defined as v_g = (ω2 - ω1) / (k2 - k1) and approximated by dω/dk|_{k=k0}. This approximation holds for any wave type and multiple superpositions, as it relates to the continuous spectra of frequencies. The group velocity conceptually applies to continuous distributions, where the derivative definition becomes valid as the wave frequencies converge. Nonlinear dispersion relations introduce corrections, but the fundamental definition of group velocity remains applicable across various waveforms.
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For a superposition of two since waves of equal amplitude in a dispersive media, we find that the group velocity is given exactly by

v_g = \frac{\omega_2-\omega_1}{k_2-k_1}

and approximately by d\omega / dk|_{k=k_0}.

How do we show that this approximation holds for any type of waves (not just sine), and for a superposition of any number of them?


Here's the development that allowed me to conclude to the statement above. You may not read this.

In the 2 sine wave superposition problem (beats), we have two progressive waves of equal amplitude, y_1(x,t) = Asin(k_1x - \omega_1t) and y_2(x,t) = Asin(k_2x - \omega_2t) and their superposition is

y(x,t)=2Acos\left(\frac{k_2-k_1}{2}x-\frac{\omega_2-\omega_1}{2}t\right) sin\left(\frac{k_2+k_1}{2}x-\frac{\omega_2+\omega_1}{2}t\right)

The speed v_g of the modulation envelope is found by setting x=x(t)=v_g t in cos(\frac{k_2-k_1}{2}x-\frac{\omega_2-\omega_1}{2}t) and arguing that since x(t) moves at the same speed as the cos wave, the phase is constant. I.e.,

\frac{k_2-k_1}{2}v_g t -\frac{\omega_2-\omega_1}{2}t = \mbox{cst}

and taking the derivative wrt t gives

v_g = \frac{\omega_2-\omega_1}{k_2-k_1}

This gives v_g exactly. Here, the distribution of amplitude wrt k is discrete rather than continuous as in the case of the wave packet, but extending the definition of k_0 to the discrete case we have,

k_0 = \frac{|k_2+k_1|}{2}

So evidently, as k_1 approaches k_2, by definition of derivative, v_g approaches d\omega / dk|_{k=k_0}, but the equality v_g = d\omega / dk|_{k=k_0} is not exact! For nonlinear dispersion relations, this is only an approximation.
 
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First and foremost, group velocity is dw/dk by definition.

There is confusion here as to why two discrete frequencies, when analysed, do not give the correct group velocity. The reason why, is because it is not intended to. Group velocity is a term we apply to continuous spectra in recognition of the fact that no light source has a single frequency, but is comprised of a frequency bandwidth. Thus in the case where k1 approaches k2 (i.e. where the separate frequencies merge into a continuous spectra), the solution is equal to dw/dk by definition of a derivative. Now that the expression for the group velocity is a derivative, it applies to any continuous spectrum.

For nonlinear dispersion relations, the definition of group velocity is retained, however a distortion parameter is introduced to provide the required corrections.

Claude.
 
I am attaching the simplest derivation I know of.
As you can see, the validity of dw/dk as a velocity of the envelope depends on how good an approximation it is to truncate the Taylor expansion.
The next term in the expansion leads to a spread of the wave packet.
If higher terms are needed, distortion of the packet is rapid.
 

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"But what if the waves were not sine-like? And what if the envelope was not Gaussian? Isn't there a totally general way to approach the notion of group velocity? Or do we have to treat case by case?
Does v_g = dw/dk hold for more than 2 superposed sin waves? Does it hold for non-sinusoidal sine waves? If so, how can this be shown?"

The Gaussian envelope was just one simple example. The derivation for v_g is the same (totally general way) for any shape of envelope. The expansion in sine waves (really exponential waves) is also completely general. The simple case of two sine waves in elementary books is a special case where the Fourier integral becomes a Fourier sum. You should study Fourier sums and integrals in a book like Boas, Butkov, or Arfken.
 
Thx for the recomendations.
 
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