We need one last definition. Recall that the mass of a wire or string of a length can be expressed in terms of the linear mass density as . Similarly, the charge along a length of wire can be expressed in terms of the linear charge density as . If the length had been very short—in which case we might have denoted it as —and if the density varied from point to point, we could have written
where and are the linear densities at position . Writing the mass and charge this way separates the role of the density from the role of the small length .
Equation 39.11 looks similar. Using the mass and charge densities as analogies, as shown in FIGURE 39.4, we can define the probability density such that
In one dimension, probability density has SI units of . Thus the probability density multiplied by a length, as in Equation 39.12, yields a dimensionless probability.
NOTE itself is not a probability, just as the linear mass density is not, by itself, a mass. You must multiply the probability density by a length, as shown in Equation 39.12, to find an actual probability.
By comparing Equation 39.12 to Equation 39.11, you can see that the photon probability density is directly proportional to the square of the light-wave amplitude:
The probability density, unlike the probability itself, is independent of the width and depends on only the amplitude function.
Although we were inspired by the double-slit experiment, nothing in our analysis actually depends on the double-slit geometry. Consequently, Equation 39.13 is quite general. It says that for any experiment in which we detect photons, the probability density for detecting a photon is directly proportional to the square of the amplitude function of the corresponding electromagnetic wave. We now have an explicit connection between the wave-like and the particle-like properties of the light.
In an experiment, 6000 out of 600,000 photons are detected in a 1.0-mm-wide strip located at position . What is the probability density at
SOLVE The probability that a photon arrives at this particular strip is
Thus the probability density at this position is