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Wave-packets
The above discussion suggests that the wave-function of a massive particle
of momentum
and energy
can be written
 |
(64) |
where
and
. Here,
and
are linked via the dispersion relation (61). Expression (64) represents a plane-wave which propagates in the
-direction
with the phase-velocity
. As we have seen, this phase-velocity is only half of the classical velocity of a massive particle.
From before, the most reasonable physical interpretation of the wave-function is that
is proportional to the probability density of finding the particle
at position
at time
. However, the modulus squared of the wave-function (64) is
, which depends on neither
nor
. In other words, this wave-function represents a particle
which is equally likely to be found anywhere on the
-axis at all times.
Hence, the fact that the plane-wave wave-function (64) propagates at
a phase-velocity which does not correspond to the classical particle velocity does not have any real physical consequences.
So, how can we write the wave-function of a particle which is localized
in
: i.e., a particle which is more likely to be found at some
positions on the
-axis than at others? It turns out that we can achieve this goal by forming
a linear combination of plane-waves of different wave-numbers:
i.e.,
 |
(65) |
Here,
represents the complex amplitude of plane-waves of wave-number
in this combination. In writing the above expression,
we are relying on the assumption that particle waves are superposable:
i.e., it is possible to add two valid wave solutions to form a third valid wave solution.
The ultimate justification for this assumption is that particle waves
satisfy a differential wave equation which is linear in
. As we
shall see, in Sect. 3.12, this is indeed the case.
Now, there is a useful mathematical theorem, known as Fourier's theorem, which states that if
 |
(66) |
then
 |
(67) |
Here,
is known as the Fourier transform of the
function
. We can use Fourier's theorem to find the
-space function
which generates any given
-space wave-function
at a given time.
For instance, suppose that at
the wave-function of our particle takes the
form
![\begin{displaymath}
\psi(x,0) \propto \exp\left[{\rm i}\,k_0\,x - \frac{(x-x_0)^{\,2}}{4\,({\mit\Delta}x)^{\,2}}\right].
\end{displaymath}](img255.png) |
(68) |
Thus, the initial probability density of the particle is written
![\begin{displaymath}
\vert\psi(x,0)\vert^{\,2} \propto \exp\left[- \frac{(x-x_0)^{\,2}}{2\,({\mit\Delta}x)^{\,2}}\right].
\end{displaymath}](img256.png) |
(69) |
This particular probability distribution is called a Gaussian distribution, and is plotted in Fig. 4.
It can be seen that a measurement of the particle's position is most
likely to yield the value
, and very
unlikely to yield a value which differs from
by more than
. Thus, (68) is the wave-function of a particle
which is initially localized around
in some region whose width is
of order
. This type of wave-function is
known as a wave-packet.
Figure 4:
A Gaussian probability distribution in
-space.
 |
Now, according to Eq. (65),
 |
(70) |
Hence, we can employ Fourier's theorem to invert this expression to give
 |
(71) |
Making use of Eq. (68),
we obtain
![\begin{displaymath}
\bar{\psi}(k) \propto
{\rm e}^{-{\rm i}\,(k-k_0)\,x_0}\int_{...
...0)\,(x-x_0) - \frac{(x-x_0)^2}{4\,({\mit\Delta}x)^2}\right]dx.
\end{displaymath}](img264.png) |
(72) |
Changing the variable of integration to
, this reduces to
![\begin{displaymath}
\bar{\psi}(k) \propto {\rm e}^{-{\rm i}\,k\,x_0}
\int_{-\infty}^{\infty}\exp\left[-{\rm i}\,\beta\,y - y^2\right] dy,
\end{displaymath}](img266.png) |
(73) |
where
. The above equation
can be rearranged to give
 |
(74) |
where
. The integral now just reduces to a number,
as can easily be seen by making the change of variable
.
Hence, we obtain
![\begin{displaymath}
\bar{\psi}(k) \propto \exp\left[-{\rm i}\,k\,x_0 - \frac{(k-k_0)^{\,2}}{4\,({\mit\Delta}k)^2}\right],
\end{displaymath}](img271.png) |
(75) |
where
 |
(76) |
Now, if
is proportional to the probability density of a measurement of the
particle's position yielding the value
, then it stands to reason that
is proportional to the probability density of a measurement of the
particle's wave-number yielding the value
. (Recall that
,
so a measurement of the particle's wave-number,
, is equivalent to a measurement of the particle's
momentum,
). According to Eq. (75),
![\begin{displaymath}
\vert\bar{\psi}(k)\vert^{\,2} \propto \exp\left[- \frac{(k-k_0)^{\,2}}{2\,({\mit\Delta}k)^{\,2}}\right].
\end{displaymath}](img276.png) |
(77) |
Note that this probability distribution is a Gaussian in
-space--see
Eq. (69) and Fig. 4. Hence, a measurement of
is
most likely to yield the value
, and very unlikely to yield
a value which differs from
by more than
. Incidentally, a Gaussian is the only mathematical function
in
-space which has the same form as its Fourier transform in
-space.
We have seen that a Gaussian probability distribution of characteristic
width
in
-space [see Eq. (69)] transforms to a Gaussian probability distribution of characteristic width
in
-space [see Eq. (77)],
where
 |
(78) |
This illustrates an important property of wave-packets. If we wish to
construct a packet which is very localized in
-space (i.e., if
is small) then we need
to combine plane-waves with a very wide range of different
-values
(i.e.,
will be large). Conversely, if we only combine
plane-waves whose wave-numbers differ by a small amount (i.e., if
is small) then the resulting wave-packet will be very
extended in
-space (i.e.,
will be large).
Next: Evolution of wave-packets
Up: Wave-particle duality
Previous: Quantum particles
Contents
Richard Fitzpatrick
2006-12-12