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Part of the book series: Monographs in Mathematics ((MMA,volume 86))

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Abstract

In this chapter we will assume a (non-negative) measurable function ϕ(t, x) is given (but not\( \overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{\varphi } \left( {t,x} \right)! \)), and concentrate on the problem of constructing diffusion processes starting from an arbitrary point (s, x) with an additional drift coefficient σTσ∇(logϕ(t, x)); namely we will not fix an initial distribution. It is clear, then, that we cannot handle our problem in the framework of the variational method (in the p-representation) formulated in the preceding chapter based on Csiszar’s projection theorem for lack of a fixed initial distribution, or in other words, lack of the function \( \overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{\varphi } \left( {t,x} \right)! \). If a transition density p(s, x; t, x) with creation and killing is given and if ϕ(t, x) is p-harmonic and positive, then the harmonic transformation induces an additional drift term σTσ∇(log ϕ(t, x)) as we have discussed in Chapter 2. A mathematical problem encountered with ϕ(t, x) which vanishes on a subset will be reduced to defining a multiplicative functional properly (cf. (6.5)) and to verifying the normality condition under a mild integrability condition (cf. (6.4)).

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Notes

  1. This has appeared already in (3.40)

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  2. See Chapter 2 for multiplicative functionals

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  3. For time-symmetric cases, cf. Donsker-Varadhan (1975), Fukushima-Takeda (1984). Cf. also Oshima (1992)

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  4. It was presented in 1987 to commemorate the centenary of E. Schrödinger’s birth

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  5. See (2.14) and what follows in Chapter 2

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  6. Cf. Aebi (1989, 93) for general cases

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  7. Compare with Theorem 5.4

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  8. This is the reason why time reversal is somewhat a strange subject for those who were educated by the modern theory of Markov processes

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  9. We can require ψ(t, x;r,y), at < rb, is the fundamental solution of the time reversed equation, namely the complex conjugate of the Schrödinger equation

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  10. For extensive literature cf., e.g. Albeverio-Høegh-Krohn (1976). Cf. also Itô (1961, 67)

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  11. He speaks of “probability amplitude for a path”, but the probability amplitude is not a well-defined mathematical object in probability theory

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  12. In this connection cf. Doss (1980)

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  13. Due to K. Uchiyama, cf. Nagasawa (1990)

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  14. Cf. Remark 6.1 after Lemma 6.2

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  15. Cf. Aizenman-Simon (1982), Stummer (1990) and also Sturm (1989). For Schrödinger operators see Chung-Rao (1981)

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  16. Cf. Stummer (1990)

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  17. Non-typical examples with severely singular potentials see Section 7.9

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  18. We take virtual photons to avoid theoretical complication of fermions

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© 1993 Springer Basel AG

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Nagasawa, M. (1993). Diffusion Processes in q-Representation. In: Schrödinger Equations and Diffusion Theory. Monographs in Mathematics, vol 86. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8568-3_6

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  • DOI: https://doi.org/10.1007/978-3-0348-8568-3_6

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-9684-9

  • Online ISBN: 978-3-0348-8568-3

  • eBook Packages: Springer Book Archive

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