We also introduced the pulse duration.

We have chosen to use the RMS (Root Mean Squared)

i.e. the square root of the variance.

And, what you are also going to prove in the exercice session

is, by using this definition, that the duration of the pulse can be written

as the square root of the sum of the square of two terms.

So the variance will be the sum of two variances:

the variance without the spectral phase,

and a term resulting from the fact that different spectral components

don't have the same group delay, or, in other words, that

different spectral components do not arrive at the same time.

Finally, this result is quite intuitive.

We know there are two contributions to the pulse duration

The first one you've seen last week

by proving that Delta t times Delta omega is greater than one half.

This means that getting a short pulse requires a broad spectrum.

So that the spectrum will limit the pulse duration. va limiter la durée de l'impulsion.

It is this effect that corresponds to the first contribution to the variance.

And of course, there is a second contribution.

When different components do not arrive at the same time, the pulse gets longer.

We've seen some examples last week with chirped pulses.

To sum up the results from last week and this week about the spectral phase,

plus what you'll see in the exercice session,

remember that for a given spectrum,

which means for a fixed modulus of epsilon(omega),

the shortest pulse will be obtained when this phase-dependent quantity vanishes.

This happens when the phase is zero

or when the phase is a linear function of frequency

so that the variance of the group delay is zero.

By definition such a pulse will be called "Fourier-transform limited"

or simply "transform-limited"

By that we mean that the duration is only determined by the first term

which is a fonction of the pulse spectrum.

Conversely, if the group delay is not constant

avec la fréquence, on dira que l'impulsion présente une dérive de fréquence.

with respect to freqency, the pulse is said to be chirped.

As in a bird song the frequency then varies with frequency.

If you remember the signals that I produced last week

using a slide whistle, then indeed

when the group delay depends on frequency, we can hear something

similar to a bird chirp, i.e. a signal whose instantaneous frequency

varies with time.

This is a so-called chirped pulse.

Now, let's see how the material's response

like the one shown here,

similar to what we discussed during first week,

affects the spectral phase and thus the pulse shape.

So what we are going to do is to take a light beam

and let it propagate in the transparent spectral region of the medium.

corresponding to the region shaded in cyan here.

So we assume that the spectrum is entirely encompassed in this transparent area.

Here is the central frequency omega zero.

Here is the spectrum |E(omega)|².

z does not appear since, as you might remember, the spectrum is z-independent.

We also assume that the spectral width is small enough

to make possible a Taylor expansion of the material response.

And indeed, if you consider here the variation of the refractive index,

with respect with frequency, it can be said to be fairly linear.

Thus in all region where the spectrum takes non-negligible values

we will assume a linear variation of the refractive index with frequency

So what does this imply ?

If the refractive index is a linear function of frequency,

and since the wavevector is the refractive index times omega over c,

the wave number will be a quadratic function.

So we can write the wavevector as a second-order polynomial of omega.

More generally, if we don't use this approximation,

we could still write the Taylor expansion shown here,

where higher-order terms could be taken into account as well.

However, this week, we will stop at second-order terms.

So let us ignore higher-order terms.

So, as suggested by the linear variation of the refractive index,

we assume that the wavevector is a quadratic function of frequency

expanded around the central frequency omega zero.

Here we have the zero-order term,

here the linear term proportional to omega minus omega zero,

and the second-order term,

proportional to omega minus omega zero squared.

And each time, you have the value at omega zero, of the wavevector,

of its first derivative at omega zero, k prime zero,

and its second derivative at omega zero.

What is relevant is the phase phi(z, omega).

As already discussed, this phase is the sum of two terms

the initial phase phi(0, omega), plus k(omega) times z.

So, by replacing k(omega) by its expression

we can eventually make a Taylor expansion of the spectral phase.

OK, we still have the initial phase of the pulse.

So we will have a constant term, k zero times z,

plus a linear term with respect to frequency, (omega - omega zero) times k prime zero z,

plus a quadratic term,

one half times omega minus omega zero squared

times k zero double prime z.

And we stop here because we assumed

a Taylor series up to second order only.

So, the linear term here

can be written as k zero minus omega zero

k prime zero times z

plus a term truely linear with omega, omega k prime zero z.

By doing this we are going to see shortly

why it is interesting to write the phase in this form.