Probability Bracket Notation, Markov Chains, Stochastic Processes, and Microscopic Probabilistic Processes
<|reference_start|>Probability Bracket Notation, Markov Chains, Stochastic Processes, and Microscopic Probabilistic Processes: Inspired by the Dirac vector probability notation (VPN), we propose the Probability Bracket Notation (PBN), a new set of symbols defined similarly (but not identically) as in the VPN. Applying the PBN to fundamental definitions and theorems for discrete and continuous random variables, we show that the PBN could play a similar role in the probability space as the VBN in the Hilbert vector. Our system P-kets are identified with the probability vectors in Markov chains (MC). The master equation of homogeneous MC in the Schrodinger pictures can be basis-independent. Our system P-bra is linked to the Doi state function and the Peliti standard bra. Transformed from the Schrodinger picture to the Heisenberg picture, the time dependence of the system P-ket of a homogeneous MC (HMC) is shifted to the observable as a stochastic process. Using the correlations established by the special Wick rotation (SWR), the microscopic probabilistic processes (MPPs) are investigated for single and many-particle systems. The expected occupation number of particles in quantum statistics is reproduced by associating time with temperature (the Wick-Matsubara relation).<|reference_end|>
@article{wang2007probability,
    title={Probability Bracket Notation, Markov Chains, Stochastic Processes, and
  Microscopic Probabilistic Processes},
    author={Xing M. Wang},
    journal={arXiv preprint arXiv:cs/0702021},
    year={2007},
    archivePrefix={arXiv},
    eprint={cs/0702021},
    primaryClass={cs.OH math.PR}
}