heusdens
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Continuation of my attempts to come up with a "classical" (non-quantum) example of an "exeperiment" that beats the Bell Inequality"
{in fact the 'experiment' is neither classical nor quantum, it is a pure abstract experiment}
Design of a new experiment. (thought experiment)
Some definitions:streams:
x, y, z,...
We don't know what they contain...just that they contain some element, which is input for a detector outcome for each side.
We design the experiment so that each stream element has an order (like saying that they are numbered) and for the correlation it is assumed then that we use the outcomes of detectors with stream elements of the same number (order).
Basically that is all we say about the streams. Note that we do not say that each element is split into two separate elements!
Further, we do not even know if there are more as one stream, or how many.
So, wherever you see x,y,z notice that it can mean one stream or many (sub)streams.
Detectors:
A(1), A(2), A(3) -- at the side of Alice
B(1), B(2), B(3) -- at the side of Bob
Results:
Outcome(detector, stream) is of form + or -
Constraint:
Outcome(detector, stream) [for detector is A(n), B(n), C(n) for n=1,2,3 and stream is x,y,z] is random (+ and - each likely)
{each outcome for any individual detector is random, i.e. + and - as likely}
Correlations:
Correlation(outcome-alice, outcome-bob)
note that it is symmetrical, so Correlation(outcome-alice, outcome-bob) is equal to Correlation(outcome-bob, outcome-alice)
can be either:
random/uncorrelated
all possible values emerge equally (that is, ++,+-,-+,-- have each equal likelihood)
Same outcomes 100%
any values ++ and -- occur (with equal likelihood)
Same outcomes 25%
values of ++ and -- occur only with probability 0.25 (++ as likely as --)
values of +- and -+ occur with probability 1-0.25=0.75 (+- as likely as -+)
Now here is what the correlations are:
Correlation(Outcome(A(n), s), Outcome(B(m), s)) is "Same 100%" for s = x,y,z and n=1,2,3 and m=n [detector settings the same for Alice and Bob]
Correlation(Outcome(A(n), s), Outcome(B(m), s)) is "Same 25%" for s=x,y,z and n=1,2,3 and m!=n [detector settings different for Alice and Bob]{NB. Notice that this "experiment" - although expressed differently - is functionally the same as the experiments worked our earlier, and are analogous to certain quantum experiments}
=====================================
Now the question is this:
Can we give the stream and dector outcomes some mathematical properties in such a way that this results in the correlations we measure?
This is to say, design some mathematical designations (like numbers, matrices, operators, functions, etc) to the element of each stream and for detector outcomes and correlations between detector outcomes.
{This needs to be elaborated of course... I merely speculate it can be done.}What we (intentionally) didn't infer was that we know anything about the stream(s). The only thing we state is that stream contains elements which occur in an order, which is to say that we can state that a detector outcome on one side coincided with a detector outcome on the other side, and that this coincidence is based on the same element of the stream.
What we can not tell is wether there is only one or more streams and what each element contains, nor can we make any assumptions about wether detector settings can have influence on the selected stream(s).
So it might be that some detector setting combination might filter out some streams (which is the same as to say that it selects some (sub)streams).
For one detector only, however, we know that whatever this detecor setting infers for the stream(s) selected, we get random outcomes.
For combination of detector selections, we know about the correlations as mentioned above.
The logical conclusion is that each (pair) of detector settings selects a (sub)stream which shows the correlation. The (sub)stream selection can be triggerd by either or both detector settings. In this point of view, it is not necessary to talk about actions at a distance any more.
The selection of the stream occurs instantaniously. However, the setting on detector, determine what streams can be selected on the other detector.
Same detector settings have outcomes always positive correlated (either ++ or --) which means that the (sub)streams selected operate in a way that only those outcomes are possible. It does not infer that detector settings which are equal (of which 3 distinct pairs exista) are necessarily selecting the same stream, the only thing we can observe is that the stream selected results in the same detector outcome correlations.
For the other combination (unequal detector settings) a same kind of reasoning, but with a different correlation, can be applied.
My point is that, in the mathematical sense, we can in theory make a mathematical description of this system that explains all the results.
However, if we were to infer that is a stream of elements which is determined on forehand (contains elements with fixed properties), independent of detector settings (which is to say, that in all cases we have always the same stream), it is not possible to explain the results.
We know from one detector setting only, that the detector outcomes give random results.
This is valid for every detector. As we mentioned, it can be the case each detector setting invokes a selection of one or more streams.
For two detector settings the same applies. The selection of streams is then dependent on both detector settings.
This is the same as to saying that there is only one stream, but that specific elements of that stream are filtered out dependent on detector settings.
This is equal to saying that by selecting different detector settings and combinations of detector settings, we are creating substreams, which behave different then other substreams.
{in fact the 'experiment' is neither classical nor quantum, it is a pure abstract experiment}
Design of a new experiment. (thought experiment)
Some definitions:streams:
x, y, z,...
We don't know what they contain...just that they contain some element, which is input for a detector outcome for each side.
We design the experiment so that each stream element has an order (like saying that they are numbered) and for the correlation it is assumed then that we use the outcomes of detectors with stream elements of the same number (order).
Basically that is all we say about the streams. Note that we do not say that each element is split into two separate elements!
Further, we do not even know if there are more as one stream, or how many.
So, wherever you see x,y,z notice that it can mean one stream or many (sub)streams.
Detectors:
A(1), A(2), A(3) -- at the side of Alice
B(1), B(2), B(3) -- at the side of Bob
Results:
Outcome(detector, stream) is of form + or -
Constraint:
Outcome(detector, stream) [for detector is A(n), B(n), C(n) for n=1,2,3 and stream is x,y,z] is random (+ and - each likely)
{each outcome for any individual detector is random, i.e. + and - as likely}
Correlations:
Correlation(outcome-alice, outcome-bob)
note that it is symmetrical, so Correlation(outcome-alice, outcome-bob) is equal to Correlation(outcome-bob, outcome-alice)
can be either:
random/uncorrelated
all possible values emerge equally (that is, ++,+-,-+,-- have each equal likelihood)
Same outcomes 100%
any values ++ and -- occur (with equal likelihood)
Same outcomes 25%
values of ++ and -- occur only with probability 0.25 (++ as likely as --)
values of +- and -+ occur with probability 1-0.25=0.75 (+- as likely as -+)
Now here is what the correlations are:
Correlation(Outcome(A(n), s), Outcome(B(m), s)) is "Same 100%" for s = x,y,z and n=1,2,3 and m=n [detector settings the same for Alice and Bob]
Correlation(Outcome(A(n), s), Outcome(B(m), s)) is "Same 25%" for s=x,y,z and n=1,2,3 and m!=n [detector settings different for Alice and Bob]{NB. Notice that this "experiment" - although expressed differently - is functionally the same as the experiments worked our earlier, and are analogous to certain quantum experiments}
=====================================
Now the question is this:
Can we give the stream and dector outcomes some mathematical properties in such a way that this results in the correlations we measure?
This is to say, design some mathematical designations (like numbers, matrices, operators, functions, etc) to the element of each stream and for detector outcomes and correlations between detector outcomes.
{This needs to be elaborated of course... I merely speculate it can be done.}What we (intentionally) didn't infer was that we know anything about the stream(s). The only thing we state is that stream contains elements which occur in an order, which is to say that we can state that a detector outcome on one side coincided with a detector outcome on the other side, and that this coincidence is based on the same element of the stream.
What we can not tell is wether there is only one or more streams and what each element contains, nor can we make any assumptions about wether detector settings can have influence on the selected stream(s).
So it might be that some detector setting combination might filter out some streams (which is the same as to say that it selects some (sub)streams).
For one detector only, however, we know that whatever this detecor setting infers for the stream(s) selected, we get random outcomes.
For combination of detector selections, we know about the correlations as mentioned above.
The logical conclusion is that each (pair) of detector settings selects a (sub)stream which shows the correlation. The (sub)stream selection can be triggerd by either or both detector settings. In this point of view, it is not necessary to talk about actions at a distance any more.
The selection of the stream occurs instantaniously. However, the setting on detector, determine what streams can be selected on the other detector.
Same detector settings have outcomes always positive correlated (either ++ or --) which means that the (sub)streams selected operate in a way that only those outcomes are possible. It does not infer that detector settings which are equal (of which 3 distinct pairs exista) are necessarily selecting the same stream, the only thing we can observe is that the stream selected results in the same detector outcome correlations.
For the other combination (unequal detector settings) a same kind of reasoning, but with a different correlation, can be applied.
My point is that, in the mathematical sense, we can in theory make a mathematical description of this system that explains all the results.
However, if we were to infer that is a stream of elements which is determined on forehand (contains elements with fixed properties), independent of detector settings (which is to say, that in all cases we have always the same stream), it is not possible to explain the results.
We know from one detector setting only, that the detector outcomes give random results.
This is valid for every detector. As we mentioned, it can be the case each detector setting invokes a selection of one or more streams.
For two detector settings the same applies. The selection of streams is then dependent on both detector settings.
This is the same as to saying that there is only one stream, but that specific elements of that stream are filtered out dependent on detector settings.
This is equal to saying that by selecting different detector settings and combinations of detector settings, we are creating substreams, which behave different then other substreams.
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