Dmitry67 said:
Regarding the Born rule - can anyone formulate Born rule in the MWI framework? Before solving a problem, sometimes it is useful to read the description of the problem.
The literal statement is sort of a trivial one; the Born rule as it relates to propensity is already built-in to the linear algebra used by quantum mechanics. e.g. in the relationship between density matrices and kets, or in the partial trace.
The more interesting question is can we connect to other interesting things. Here's one possible way to cast probabilities as being frequentist probabilities in a decoherence-based interpretation.
e.g. let [itex]v_1[/itex] be a pure quantum state of a qubit. As usual in QM, we use [itex]v_2 = v_1 \otimes v_1[/itex] to describe a system that contains two independent copies of [itex]v_1[/itex], and so forth -- [itex]v_n = v_{n-1} \otimes v_1[/itex] is a state that describes
n independent copies of a qubit in state [itex]v_1[/itex].
Let S be an observable on a qubit with basis vectors A and B.
Now, let [itex]T_{n, p, \epsilon}[/itex] be the operator that acts on n-qubit states with eigenvalues 0 and 1, whose action on basis states (relative to S) is multiplication by:
- 1, if the proportion of A's in the basis state is in the interval [itex](p -\epsilon, p+\epsilon)[/itex]
- 0 otherwise
(So T represents an experiment to detect if the proportion of
n trials is near
p)
With this, there is a projection P (a partial trace) from
n-qubit states to (possibly impure) 1-qubit states that discards everything except the one bit of information related to T.
One can now state the frequentist probability as saying the claim "a measurement of [itex]v_1[/itex] gives
A with probability
p" is the claim that
[tex]\lim_{n \to \infty} P\left( T_{n, p, \epsilon} v_n \right)[/tex]
converges to the eigenstate |1>.
(For simplicity in the above, I've written states as kets when possible -- but I'm not really working in the Hilbert space of kets)