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Generalized Cumulant Expansion Method

Journal of the Physical Society of Japan · 1962 · Vol. 17(7) · pp. 1100–1120
Ryogo Kubo

Abstract

The moment generating function of a set of stochastic variables defines the cumulants or the semi-invariants and the cumulant function. It is possible, simply by formal properties of exponential functions, to generaiize to a great extent the concepts of cumulants and cumulant function. The stochastic variables to be considered need not be ordinary c -numbers but they may be q -numbers such as used in quantum mechanics. The exponential function which defines a moment generating function may be any kind of generalized exponential, for example an ordered exponential with a certain prescription for ordering q -number variables. The definition of average may be greatly generalized as far as the condition is fulfilled that the average of unity is unity. After statements of a few basic theorems these generalizations are discussed here with certain examples of application. This generalized cumulant expansion provides us with a point of view from which many existent methods in quantum mechanics and statistical mechanics can be unified.

Statistical Mechanics and EntropyScientific Research and DiscoveriesQuantum Mechanics and ApplicationsCumulantExponential functionMathematicsMoment (physics)Function (biology)Generating functionMoment-generating functionExponential familyRandom variableApplied mathematics
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References
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