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Differential‐Operator Approximations to the Linear Boltzmann Equation

dc.contributor.authorSiegel, Armanden_US
dc.date.accessioned2010-05-06T21:00:04Z
dc.date.available2010-05-06T21:00:04Z
dc.date.issued1960-09en_US
dc.identifier.citationSiegel, Armand (1960). "Differential‐Operator Approximations to the Linear Boltzmann Equation." Journal of Mathematical Physics 1(5): 378-390. <http://hdl.handle.net/2027.42/69697>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/69697
dc.description.abstractA measure of deviation from equilibrium of an ensemble of particles is proposed, which is physically appropriate and of especially simple form when expressed in terms of the expansion coefficients of the ensemble distribution function with respect to the system of orthogonal polynomials obtained by using the equilibrium distribution function as weight function. The linear Boltzmann operator can then be expanded in a series of terms which, under certain circumstances, may be regarded as of successively diminishing magnitude in their effect on the rate of approach to equilibrium. This expansion of the operator is different from the expansion due to Kramers (later discussed by Moyal) in derivate moments, commonly used in approximate stochastic treatments of irreversible processes. With the aid of a theorem on definite operators, it is possible to break off the series at any point and thereby obtain a correspondingly accurate approximation to the linear Boltzmann operator, whose temporal solutions tend to the correct equilibrium distribution function. The first approximation is the Fokker‐Planck operator, exactly. The next approximation would be the appropriate operator to use when the stochastic variable begins to deviate appreciably from a linear dissipation law, etc. The method is applied to the ``Rayleigh process'' (ensemble of particles in a rarefied gas medium, the medium itself being in internal equilibrium), and the second approximation to the linear Boltzmann operator for this case is explicitly derived. A possible form for the second approximation in more general processes, suggested by this, is also given.en_US
dc.format.extent3102 bytes
dc.format.extent1010929 bytes
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dc.format.mimetypeapplication/pdf
dc.publisherThe American Institute of Physicsen_US
dc.rights© The American Institute of Physicsen_US
dc.titleDifferential‐Operator Approximations to the Linear Boltzmann Equationen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationotherBoston University, Boston, Massachusettsen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/69697/2/JMAPAQ-1-5-378-1.pdf
dc.identifier.doi10.1063/1.1703668en_US
dc.identifier.sourceJournal of Mathematical Physicsen_US
dc.identifier.citedreferenceThe Fokker‐Planck equation for the temporal evolution of the probability density function P(ξ,t)P(ξ,t) of a scalar variable ξ reads ∂P(ξ,t)∂t=∂∂ξaξP(ξ,t)+b2∂2∂ξ2P(ξ,t). Here aξaξ is (if the equation is applicable) minus the ensemble average rate of change of ξ due to “friction” or dissipative effects in general; i.e., ⟨⟩  =  −aξ.⟨ξ̇⟩=−aξ. For a particle undergoing Brownian motion, ⟨⟩⟨ξ̇⟩ is literally due to friction, being attributable to viscosity; more generally, ξ may be any thermodynamic observable in its range of linear dissipation, according to the theories referred to in footnotes 2 and 3, The constant b is (again, if the equation is applicable) a measure of the amplitude of thermal fluctuations, or “noise.” In the mathematically equivalent Langevin formalism, ξ(t)ξ(t) is a random function of time satisfying the Langevin equation ξ̇+aξ=(b)12ϵ(t), where ϵ(t)ϵ(t) is the “ideal random function” normalized so that ⟨[∫0tϵ(t)dt]2⟩=t. ξ(t)ξ(t) will then be found to have a probability density satisfying the Fokker‐Planck equation as just given. Introductory treatments of these matters will be found in the well‐known review articles by S. Chandrasekhar [Revs. Modern Phys. 15, 1 (1943)] and by M. C. Wang and G. E. Uhlenbeck [Revs. Modern Phys. 17, 323 (1945)].en_US
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dc.identifier.citedreferenceAs pointed out by H. A. Kramers (footnote 15), the denvate moments αnαn are even or odd functions as n is an even or odd number.en_US
dc.identifier.citedreferenceA. Einstein, Ann. Physik 17, 549 (1905).en_US
dc.owningcollnamePhysics, Department of


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