Hydr0matic said:
I have understood Bell's hidden variables. But there's a difference between having predetermined outcomes of a random process and having predetermened outcomes of correlated values. Let me try an example of my point with correlated properties.
We have a set of people on which we are measuring 3 properties - skin color, hair color and eye color. Each property has possible values Light (L) and Dark (D). So possible combinations are accordingly:
SHE (Skin, Hair, Eyes)
-------
LLL
LLD
LDL
LDD
DLL
DLD
DDL
DDD
And each of these are seemingly equally probable.
When we start to measure we find that, for some reason, Bell's inequality is violated. When Alice measures an L color, Bob always measures L too. Same for D respectively.
How would that be a violation of Bell's inequality?? Bell
assumes that when both experimenters pick the same property (say, skin color) they will always get the same result. In this case, the Bell inequality I described says that when they pick different properties to measure, they must get the same result
at least 1/3 of the time. There is nothing in the inequality that says they can't get the same result 100% of the time when they measure different properties!
Hydr0matic said:
Now, we can either interpret this as:
1. When Alice measures Skin color L, the persons hair and eyes "instantly collapse" into the same color. Bell's inequaility is violated, and our understanding about how skin, hair and eyes work is inaccurate.
2. All SHE combinations are NOT equally probable. In this case, there are actually only two possible combinations - LLL and DDD. The properties Skin, Hair and Eyes are CORRELATED, and only dependant on ONE property - Rase. Hence, Bell does not apply.
Ofcourse, this example is extreme correlation, but it's hard to think of normal properties correlated like polarization :/
Please read over my proof again carefully:
'The point is that on each trial, you can label the angle of the wave based on what results it would be predetermined to give for each detector setting--on one trial you might have the wave (A-R, B-R, C-G) as above, on another trial you might have (A-G, B-R, C-G), and so forth.
Label such a predetermined state "homogeneous" if it would give the same answer for each setting, i.e. (A-G, B-G, C-G) or (A-R, B-R, C-R), and "inhomogeneous" if it would give two answers of one type and one of the other, like (A-G, B-R, C-G). For any homogeneous state, it's obvious that when Alice and Bob choose different settings, they are guaranteed to get the
same result with probability 1. For an "inhomogeneous" state, there is a probability of 1/3 that Alice picks the setting that gives the "rare" answer (so if the state gives a green for A and C but a red for B, she picks B and gets red), and if we're looking only at trials where Alice and Bob pick different settings, then Bob is guaranteed with probability 1 to pick a setting that gives the "common" answer (he picks A or C which both give green), so in this case they get
opposite results. There is also a probability of 2/3 that Alice picks a setting that gives the "common" answer; in this case of the two remaining settings, there is a 1/2 probability that Bob picks the one that also gives the "common" answer so they get the
same result, and a 1/2 probability that Bob picks the one that gives the "rare" answer and they get
opposite results. So, for an "inhomogeneous" state the probability that they get opposite results must be (probability Alice picks rare, Bob picks common) + (probability Alice picks common, Bob picks rare) = (1/3)*(1) + (2/3)*(1/2) = 1/3 + 1/3 = 2/3. Thus, for inhomogeneous states the probability they get the same result is 1/3. And we already found that for homogeneous states the probability that they get the same result was 1, so this tells us that whatever the mixture of homogenous and inhomogeneous states produced by the source, they must lead Alice and Bob to get the same result
at least 1/3 of the time.'
I have made
no assumption about the ratio of "homogeneous" states to "inhomogeneous" states, I have only pointed out that for a homogeneous state, when they pick different detector settings they are guaranteed to get the same result with probability 1, and for an inhomogeneous state, when they pick different detector settings they have a 1/3 chance of getting the same result. Therefore, whatever the mix of states emitted by the source, the probability of getting the same result with different detector settings must be somewhere in the range 1/3 - 1. It is quite possible that the source emits
only homogeneous states, in which case they are guaranteed to get the same result on every trial. But provided we assume that on every trial the source sends them objects with identical states (whether homogeneous or inhomogeneous), it is not possible for the probability of getting the same result when they choose different detector settings to be
less than 1/3; that's all the Bell inequality here is saying.
Hydr0matic said:
Let's take a concrete example with photons and polarization.
Let's say we have a source that emits photons with opposite polarization (90° diff), and a specific pair is emitted with polarization 0° and 90°. Now, for this pair Alice choose angle 0° and Bob choose 120°.
I thought we were going to stick to Mermin's example where they would get the
same result if they picked the same angle, not opposite results? With opposite results my proof above would have to be slightly modified, but you'd end up with the conclusion that under local realism, if Alice and Bob choose all detector settings with equal frequency, then on the subset of trials where they choose
different detector settings, they must get opposite results at least 1/3 of the time.
Hydr0matic said:
In QM & Local Realism, the probability of detection at Alice is cos^2(0-0) = 1, and the probability of detection at Bob is cos^2(120-90)=0.75.
In QM if the two photons are entangled, you cannot view the results at Alice and the results at Bob as independent; if the difference between their two detector settings is 120, then the probability of their getting opposite results here must be cos^2(120) = 0.25.
And what do you mean by "local realism"? Didn't I just tell you that Bell did not assume any random element when the wave hits the detector? So why are you talking as if local realism gives a "probability of detection" for Bob? If the 90 degree angle of the wave is supposed to represent the "hidden variables" associated with it, then this angle should guarantee with probability 1 what result Bob gets when he sets his detector to 120, according to Bell.
Hydr0matic said:
In my case, if the detectors have a cut-off value of cos(20°), then the probability of detection at Alice is 1 (cos(0)>cos(20)), and the probability of detection at Bob is 0 (cos(30)<cos(20)).
But if we repeat this experiment over many trials, with the waves always at 0 and 90 but with Alice and Bob picking their settings randomly, the problem is that this will not even satisfy the basic assumption made in deriving the Bell inequality, which is that when they choose the same detector setting, there is a perfect correlation between their results (they always get the same result, or they always get opposite results). Look at what happens:
If she sets detector to 0: probability of detection = 1 (cos^2(0) > cos^2(20))
If she sets detector to 120: probability of detection = 0 (cos^2(120) < cos^2(20))
If she sets detector to 240: probability of detection = 0 (cos^2(240) < cos^2(20))
And if Bob's wave is at 90, then:
If he sets detector to 0: probability of detection = 0 (cos^2(90 - 0) < cos^2(20))
If he sets detector to 120: probability of detection = 0 (cos^2(120 - 90) < cos^2(20))
If he sets detector to 240: probability of detection = 0 (cos^2(240 - 90) < cos^2(20))
So if they both set their detectors to 0 they'll get opposite results, but if they both set their detectors to 120 or 240 they'll get the same results. You could avoid this problem by sticking to Mermin's example where they are always supposed to get the same result with the same detector setting, and assuming they both get waves polarized at the same angle (say, 0). Then as long as both Alice and Bob have the same threshold for detection, they're guaranteed to get the same result on any trial where they pick the same detector setting. In this case, if Alice and Bob choose their settings on each trial randomly, and you look at the subset of trials where they chose different settings, you should find that they got the same answer
at least 1/3 of the time; if you don't then there is presumably an error in your program.