minkwe wrote:Imagine the following experimental setup, thinking semi-classically:
We have a source which produces a stream of photon pairs with random polarization, but with both photons in the pair having identical polarization. We block one of the streams, and direct the other one to towards a pair of polarizing filters (A,B) placed in series. The probability that the particles pass through the first polarizer is P(A) = 0.5, and is independent of orientation. According to Malus law, the probability that the particles pass through the second polarizer, after passing through the first one is given by P(AB) = P(A)P(B|A) = cos^2(a-b) where (a,b) are the angle settings for each polarizer. The reason we use P(AB) = P(A)P(B|A) instead of P(AB) = P(A)P(B) is because for the B filter, the particles under consideration are only the subset which passed through A. P(B|A) reads "for those particles which went through A, what proportion of them will now go through B."
Now instead of two polarizers in sequence, and a single stream of particles, let us change the setup a little. We separate out our polarizers and open up the other beam. This time, one stream of particle pairs goes to A and the other one goes to B. As expected, the probability of a particle going through A, P(A) = 0.5 and the probability of a particle going through B, P(B) is 0.5, in full agreement with the single stream case. Then, we decide to post-select from all the particles going through B, only those for which their twin sister particle also went through A. In other words, we are now calculating not P(B), but P(B|A). In this case P(B|A) reads "for those particles whose twin went through A, what proportion of them will now go through B". Given that the twins are identical, P(B|A) means exactly the same thing as it did in the single stream case. And it turns out we observe experimentally that in the second case P(AB) = P(A)P(B|A) = cos^2(a-b) as well!
The two experiments are conceptually the same. You may now notice that the second result is exactly the QM expectation value for "entangled" pairs. Also notice the importance of post-processing for the result of the second experiment.
So my question is: Where is the mystery?
minkwe wrote:...Why is anyone mystified that P(AB|D) =/= P(A|D)P(B|D) in both cases...
Q-reeus wrote:minkwe wrote:...Why is anyone mystified that P(AB|D) =/= P(A|D)P(B|D) in both cases...
Perhaps because, in agreement with what I think Xray is saying regarding your post #1 scenario, the two cases are entirely different. ...
minkwe wrote:I already admitted my post #1 was quite poorly written. The point as I've subsequently clarified is the fact that in both situations, the expression for the joint probability has the same form P(AB|X) = P(A|X)P(B|AX) =/= P(A|X)P(B|X).
Now are you saying P(AB|S) = P(A|S)P(B|AS) =/= P(A|S)P(B|S) is accurate but P(AB|D) = P(A|D)P(B|AD) =/= P(A|D)P(B|D) is not, if A and B are separated beyond their light cones?
Q-reeus wrote:how can you expect an equivalent outcome between two physically quite different arrangements? A joint probability as product in single stream sequential filters case is physically sensible but I cannot fathom your logic in applying that same formula to twin stream separate filters case.
Where classically no interaction term is involved and one simply has a net result from two independent (polarizer angle settings) stream/filter interactions. What is the physical meaning of multiplying those individual outcomes? And I take it your probabilities are not averages over all angles but apply to any given instance of polarization & angle settings.
minkwe wrote:Again I'm not saying the outcome is exactly the same. Please focus on the mathematical form of the expressions. The actual results are irrelevant to the point I'm making.
So you are saying you accept P(AB|S) = P(A|S)P(B|AS) =/= P(A|S)P(B|S) as correct.
But you refuse to accept P(AB|D) = P(A|D)P(B|AD) =/= P(A|D)P(B|D)? Is that a correct representation of your point?
We will get to physical meaning in a moment. First let us be clear that you are saying my analysis of the D experiment is wrong?
Q-reeus wrote:But you refuse to accept P(AB|D) = P(A|D)P(B|AD) =/= P(A|D)P(B|D)? Is that a correct representation of your point?
Far as I can see both joint probabilities as products have no meaningful physical content given the classical scenario, hence the inequality is also meaningless.
minkwe wrote:I don't follow your gripe about "physical content". Remember, that P(AB|D) means the probability that the one particle of a pair passes through A and it's twin sibling also passes through B for the D experiment. We do not care what settings or arrangements are in place at A or B. It is completely arbitrary, there may or may not be any settings at all. Are you saying P(AB|D) = P(A|D)P(B|AD) is not a correct analysis of this experiment? If so what is your analysis?
minkwe wrote:So let me try again. For experiments S and D, without any reference to what the specific results are. Let us say only that we are using the exact same source for both cases, no reference to the detailed nature of the particles, or "polarization", we simply say both particles in a pair are identical in every sense relevant for their subsequent behavior, fully local realistic.
Let us then also say that we are in both cases interested in the joint probability P(AB|X) , X being S or D. The settings at A and B are arbitrary and not really relevant for the analysis.
minkwe wrote: ...
Why is anyone mystified that P(AB|D) =/= P(A|D)P(B|D) in both cases.
minkwe wrote:One step at a time. Since you think P(AB|D) = P(A|D)P(B|AD) is not correct, please could you write down what you think is the correct expression for
P(AB|D) = ?
Xray wrote:minkwe wrote: ...
Why is anyone mystified that P(AB|D) =/= P(A|D)P(B|D) in both cases.
Dear minkwe and Q-eerus,
Let me first fix minkwe's nice question and then address your dispute:
1. Let A and B be correlated events under condition X. Then, per (little-known) Watson's Law*, a law supported by many experiments and (so far) never refuted:
P(AB|X) = P(A|X)P(B|XA) = P(B|X)P(A|XB). (1)
2. So, per Minkwe's Question: Why is anyone mystified that in both cases (ie, when X = S and X = D):
P(AB|X) ≠ P(A|Χ)P(B|Χ)? (2)
3. Response: Since A and B are correlated events under both X = S and X = D, we can invoke Watson's Law. (Noting, in passing, that the S and D experiments will further confirm the validity, here, of that law.)
4. So why is anyone mystified by (2) -- a TRUISM (per Watson's Law) under minkwe's specification?
I trace that wide-spread mystification amongst physicists to Bell's later introduction of a new error into his already (1964-style) defective analysis.
(A mystification/error that was famously and publicly evident at about the same time as Bell wrote; see http://en.wikipedia.org/wiki/Roy_Meadow : Watson's law applying to P(Bell's-error, Meadow's-error|Z); Z real!)
5. Bell's equivalent error was his re-interpretation of "local causality" thus: If Y is a complete specification of the conditions relating to events A and B, then
P(AB|Y) = P(A|Y)P(B|Y). (3)
6. Bell's use of (3) can be seen in equation (11) of his "Bertlmann's socks" essay (available online: https://cds.cern.ch/record/142461/files/198009299.pdf ).
7. But (3) is ALWAYS false if events A and B are correlated.
8. Even if A and B are limited to a common degree of freedom equalling one part in infinity (to define a minimal correlation) and we fully specify that part (to satisfy Bell's condition Y): (3) is provably false; both mathematically and experimentally.
9. One example of the maths and experiment referred to in #8 follows from the application of Malus Law to the analysis of the experiment foreshadowed in viewtopic.php?f=6&t=101#p3643
* Akin to Bayes theorem, Watson's Law differs in that it is not directly related to "current and prior beliefs", etc, typically associated with Bayes: http://en.wikipedia.org/wiki/Bayes'_theorem
With E & OE, please excuse my haste,
Xray
Q-reeus wrote:minkwe wrote:One step at a time. Since you think P(AB|D) = P(A|D)P(B|AD) is not correct, please could you write down what you think is the correct expression for
P(AB|D) = ?
P(AB|D) = 0.5(P(A|D) + P(B|D))
minkwe wrote:Q-reeus wrote:minkwe wrote:One step at a time. Since you think P(AB|D) = P(A|D)P(B|AD) is not correct, please could you write down what you think is the correct expression for
P(AB|D) = ?
P(AB|D) = 0.5(P(A|D) + P(B|D))
Huh? I'm curious were you got this expression for joint probability. Ever heard if the chain rule?
Q-reeus wrote:There are various definitions given for joint probability.
minkwe wrote:Remember, that P(AB|D) means the probability that the one particle of a pair passes through A and it's twin sibling also passes through B for the D experiment. We do not care what settings or arrangements are in place at A or B. It is completely arbitrary, there may or may not be any settings at all. Are you saying P(AB|D) = P(A|D)P(B|AD) is not a correct analysis of this experiment? If so what is your analysis?
Q-reeus wrote:I have given you the expression that gives the equivalent value for D case.
Further, how about you answering my questions already given earlier
minkwe wrote:Q-reeus wrote:There are various definitions given for joint probability.
Which one are you using? I already explained what P(AB|D) means:minkwe wrote:Remember, that P(AB|D) means the probability that the one particle of a pair passes through A and it's twin sibling also passes through B for the D experiment. We do not care what settings or arrangements are in place at A or B. It is completely arbitrary, there may or may not be any settings at all. Are you saying P(AB|D) = P(A|D)P(B|AD) is not a correct analysis of this experiment? If so what is your analysis?Q-reeus wrote:I have given you the expression that gives the equivalent value for D case.
Which is blatantly wrong as can be easily verified. Say in an experiment D, involving N photon pairs 1/2 of the "A-stream" photons pass through device A. 1/2 of the "B-stream" photons pass through device B. But of the N/2 particles who pass through A, only 1/2 of their twins make it through B and vice versa. So we have P(A|D) =1/2, P(B|D) = 1/2. P(B|AD) = 1/4, P(A|BD) = 1/4. The joint probability P(AB|D) is simply asking what relative frequency of the original N photon pairs make it through both A and B.
You have P(AB|D) = 0.5 ( P(A|D) + P(B|D)) = 0.5 (0.5 + 0.5) = 0.5
I have P(AB|D) = P(A|D)P(B|AD) = P(B|D)P(A|BD) = 0.5*0.5 = 0.25.
Do you still think your formula is correct?
We have a source which produces a stream of photon pairs with random polarization, but with both photons in the pair having identical polarization. We block one of the streams, and direct the other one to towards a pair of polarizing filters (A,B) placed in series. The probability that the particles pass through the first polarizer is P(A) = 0.5, and is independent of orientation. According to Malus law, the probability that the particles pass through the second polarizer, after passing through the first one is given by P(AB) = P(A)P(B|A) = cos^2(a-b) where (a,b) are the angle settings for each polarizer. The reason we use P(AB) = P(A)P(B|A) instead of P(AB) = P(A)P(B) is because for the B filter, the particles under consideration are only the subset which passed through A. P(B|A) reads "for those particles which went through A, what proportion of them will now go through B."
What question do you feel is unanswered?
minkwe wrote:I completely garbled up the point I wanted to make didn't I. So let me try again. For experiments S and D, without any reference to what the specific results are. Let us say only that we are using the exact same source for both cases, no reference to the detailed nature of the particles, or "polarization", we simply say both particles in a pair are identical in every sense relevant for their subsequent behavior, fully local realistic.
Let us then also say that we are in both cases interested in the joint probability P(AB|X) , X being S or D. The settings at A and B are arbitrary and not really relevant for the analysis. In the first case (S)
P(AB|S) = P(A|S)P(B|AS) NOT P(AB|S) = P(A|S)P(B|S)
In the second case (D)
P(AB|D) = P(A|D)P(B|AD) NOT P(AB|D) = P(A|D)P(B|D)
Obviously, both cases are fully local realistic, and we recognize that the joint probabilities can not be factored. Specifically, for experiment D, we can separate the A and B beyond any light-cone influences and still the analysis above applies just the same. It might be helpful to think about how P(AB|D) might actually be measured and calculated in an experiment.
Why is anyone mystified that P(AB|D) =/= P(A|D)P(B|D) in both cases.
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