I am using the three rules of Feynman for calculating probabilities (as outlined in http://www.feynmanlectures.caltech.edu/III_03.html)
(1) Probability of reaching a state is the square of an amplitude for reaching that state.
(2) When a particle may reach a state via two different routes, the amplitude for the process is the sum of the amplitudes of the two routes.
(3) When a particle follows a first part and then a second part of a route, the amplitude of the entire route is the product of the amplitudes of the two routes.
I consider a two-state spin 1/2 system and three devices (0, 1 and 2). Each device splits an incoming stream of particles according to its spin property with respect to a unitary base. Think Stern-Gerlach.
For device 0 the unitary base is (u,d), for device 1 it is (r,l) for device 2 it is (f,b). We may think of up, down; right, left; forward, backward and in 3-space of the z, x and y directions. The devices are wired as in the drawing. Two outputs each of the two devices 1, 2 in the second stage are combined and connected to particle counters k and m. The entire setup is protected against external influences. Measurements are made only in the detectors k and m.
Using the two rules from above, the particle can reach k via two paths (requiring addition of amplitudes) and each of the path consists of two steps (requiring multiplication of amplitudes). That is how I get as amplitudes:
$<k|\psi> = < l | u > < u | \psi > + < f| d> < d | \psi >$
$<m|\psi> = < r | u > < u | \psi > + < b| d> < d | \psi >$
From this we get detection probabilities at k: $p_k := <k|\psi> <\psi|k>$ and at m: $p_m := <m|\psi> <\psi|m>$. The probabilities should add up to 1, ie. $p_k + p_m = 1$.
Now my problem: The probabilities do not always add up to 1. As example let us take u=r=f=z+ and d=l=b=z- and as initial state x+. Then we calculate an amplitude of $1/\sqrt{2}$ for arriving at detector m via the path through u and r and the same amplitude for the path via d and b. The amplitudes add up to $\sqrt{2}$ and the probability is 2.
I realize that I have a misunderstanding of the above rules here. What exactly is wrong in my mental model?
Added: Gained insight:
As knzhou points out below, in my particular example $u=r=f=z+$ and $d=l=b=z-$ detector $m$ could make a spin measurement along the z-axis and if it got the result $z+$ $(z-)$ I would know that the path along u-r (along d-b) had been taken. Therefore rule (2) does not apply - or rather, my rule (2) is wrong, as it should read:
(2) When a particle may reach a state via two different routes and there is no possibility to find out, which route had been taken, the amplitude for the process is the sum of the amplitudes of the two routes.
Added: Fresh and still unsolved aspect:
The situation is clear in case $<r|b>=0$ and $<l|f>=0$. In these situations the particles have an additional marking which could be measured in principle and which destroys interference.
However, this is not always the case. As example I shall use $u=z+$, $d=z-$, $r=x+$, $l=x-$, $f=y+$ and $b=y-$. Here detector $m$ cannot reliably or cannot always distinguish the path u-r from the path d-b. There is no spin measurement which can always distinguish an $x+$ from a $y-$ spin situation. Moreover, if I now rotate the y-axis into the x-axis I thereby can modify the possibility of distinguishing the paths.
I realize this is what http://www.feynmanlectures.caltech.edu/III_03.html describes in 3-2. Although the text illustrates a quantitative treatment of the situation, it does not give complete formulae but uses values $a$ and $b$, to capture the effects of the frequency of the light used for the attempted distinction of the two paths.
In my situation it should be clear that the probability for $m$ to distinguish the paths has a dependency on $r$ and $b$. There may be better or worse possibilities for $m$, but the optimal distinguishability will depend on $r$ and $b$. I am not sure, how this enters the picture. In the general case I am somewhat in between the two situations whether to (1) add amplitudes or (2) add probabilities.
So, how do I apply the rule (2), now that the I cannot clearly say "yes" or "no" to the question whether the paths can be distinguished. I am looking for a simple formula for my toy case, not a generic capturing in parameters as in the Feynman text. (Which, in his scenario, would probably need full-blown QED, so it is not done in that text.)
Upon closer examination, this brings up a further aspect which already was part of my original problem but which does not show up in my particular example and which was not clear to me. I shall append the original question and would be very grateful for an additional hint.
– Nobody-Knows-I-am-a-Dog Jan 17 '18 at 20:38