- #1
Loren Booda
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How is estimating the probability that a future event might happen different from estimating the probability that a past event might have happened?
selfAdjoint said:Quantum mechanics, as the formalism is normally presented, has two kinds of development. The development of the wavefunction when not observed is smooth ("unitary", preserving probability measures). It is therefore reversable.
The other development is the "collapse of the wavefunction" as a result of observation. This is NOT reversable or unitary. Some people are offended by the existence of this awkwardness, and would seek to eliminate it and have an all-unitary physics. To do this leads to the Everett many-worlds theory.
the many-worlds model is not the only time-symmetric attempt at an interpretation of QM (and not all many-worlds interpretations are necessarily time-symmetric). There are time-symmetric Bohmian models also. Here is just a couple of such papers :selfAdjoint said:The other development is the "collapse of the wavefunction" as a result of observation. This is NOT reversable or unitary. Some people are offended by the existence of this awkwardness, and would seek to eliminate it and have an all-unitary physics. To do this leads to the Everett many-worlds theory.
Bohmian mechanics is a theory about point particles moving in space according to a law of motion (an ordinary differential equation) involving a quantum mechanical wave function. It is a consequence of this law of motion that in a typical world governed by Bohmian mechanics, observers would observe for the results of their experiments exactly the frequencies predicted by quantum mechanics. Since the theory is time symmetric, arrows of time are grounded in the specialness of the initial wave function. A more complex situation arises in some recently studied relativistic variants of the law of motion: they imply backwards causation, though only in a very special and limited way that is free of causal paradoxes.
Past probability refers to the likelihood of an event occurring based on past data and evidence. Future probability, on the other hand, refers to the likelihood of an event occurring in the future based on projections and predictions.
Past probability can be determined by analyzing historical data and trends, conducting experiments and observations, and using statistical methods such as regression analysis.
Future probability is influenced by a variety of factors such as current trends and patterns, technological advancements, social and economic changes, and unforeseen events.
While past probability can provide insights and inform predictions, it cannot guarantee accuracy in forecasting future events. It is important to consider other factors and use multiple methods to make more reliable predictions.
Understanding past and future probability can help inform decision-making, identify potential risks and opportunities, and improve planning and strategizing for individuals, businesses, and organizations.