Why is state transition probability symmetric?

In summary, in a finite dimensional QP system, the probability of transitioning from state S1 to S2 is given by p = Trace(S1*S2). Similarly, if the system is in state S2 and transitions to state S1, the probability is also p due to the symmetry of the Trace inner product. This can be attributed to the time-symmetry of nonrelativistic quantum mechanics. Though it may seem like two different experiments are required for each direction of state transition, the p's add up to 1, indicating that it is directly proportional to the probability.
  • #1
normvcr
28
2
Restricting to finite dimensional QP, suppose a system is in a state S1, an experiment is done, and state S2 is one of the eigenstates (assume all eigenvalues are distinct). The probability that the system transitions from S1 to S2 is p = Trace( S1*S2), using state operator notation. On the other hand, if a system is in state S2, a different experiment is done, and state S1 is one of the eigenstates,, the probability that the system transitions from S2 to S1 is, again, p, due to the symmetry of the Trace inner product. Is there a physical rationale why these two state transition probabilties are the same?
 
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  • #2
It is not directly the probability, it is just proportional to it.

This is the time-symmetry of (nonrelativistic) quantum mechanics.
 
  • #3
Time symmetry is an interesting perspective. The difficulty I have with this, though, is that the two directions of state transition require two different experiments.
BTW, it is directly probability, as the p's add up to 1, owing to the states having trace 1.
 

Related to Why is state transition probability symmetric?

1. Why is state transition probability symmetric?

The symmetry of state transition probability refers to the fact that the probability of transitioning from state A to state B is the same as transitioning from state B to state A. In other words, the likelihood of moving from one state to another is independent of the direction of the transition.

2. Is state transition probability always symmetric?

In some cases, state transition probability may not be symmetric. This can occur when there are external factors that influence the direction of the transition, or when there are different probabilities associated with transitioning in each direction. However, in many cases, state transition probability is symmetric and this is often assumed in mathematical models and analyses.

3. What are the implications of state transition probability being symmetric?

The symmetry of state transition probability has important implications for understanding and predicting the behavior of systems. It allows for the use of simpler mathematical models and allows for the prediction of future states based on current ones. It also helps to identify patterns and relationships between states in a system.

4. How is state transition probability calculated?

The calculation of state transition probability involves determining the likelihood of transitioning from one state to another, often based on historical data or theoretical assumptions. This can be done using various mathematical techniques, such as Markov chains or Bayesian statistics.

5. Can state transition probability be modified?

In some cases, the state transition probability of a system can be modified through external interventions or changes in the system itself. This can be useful for controlling or influencing the behavior of the system, but it is important to consider the potential consequences and unintended effects of altering state transition probabilities.

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