2000
DOI: 10.1103/physreve.62.1769
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Generalized Langevin equation and recurrence relations

Abstract: The generalized Langevin equation (GLE) is a reformulation of the Heisenberg equation of motion, and hence, an exact equation. It is the basis of the memory function approach, a very widely used method for studying dynamics of classical and quantum fluids. The GLE was first derived by Mori in a very formal way. A much simpler and more physically motivated derivation was given by us some years later. In this work we provide perhaps the simplest possible derivation of the GLE. The simplicity of the derivation he… Show more

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Cited by 41 publications
(34 citation statements)
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“…An alternative approach to the dynamics of many-body systems was developed some time ago by Lee [12][13][14]. This method is based on a projection procedure in a Hilbert space which does not require the introduction of memory functions and provides a clearer connection to physical properties via the derivation of particular recurrence relations, though leading to the continued-fraction representation of spectra similar to what is obtained in MZ theory.…”
Section: Introductionmentioning
confidence: 90%
“…An alternative approach to the dynamics of many-body systems was developed some time ago by Lee [12][13][14]. This method is based on a projection procedure in a Hilbert space which does not require the introduction of memory functions and provides a clearer connection to physical properties via the derivation of particular recurrence relations, though leading to the continued-fraction representation of spectra similar to what is obtained in MZ theory.…”
Section: Introductionmentioning
confidence: 90%
“…(ii) F S (t) is the generalized Stokes force with a friction memory kernel γ (t) for modeling viscoelastic properties of a medium [26][27][28] …”
Section: A Generalized Langevin Equationmentioning
confidence: 99%
“…A broad class of such models relies on a linear generalized Langevin equation (GLE) that may include, for instance, inertial and hydrodynamic effects at short times, subdiffusive scaling at intermediate times, eventual optical trapping at long times, as well as active transport by motor proteins [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41]. This equation can be formally solved by standard Laplace transform techniques.…”
Section: Introductionmentioning
confidence: 99%
“…From the definition (21b) one can see that the physical meaning of the parameters ∆ ν depends on the concrete process and is defined by the corresponding dynamical variables A ν−1 and A ν . Equation (21a) is also known from the recurrence relations approach as the first recurrence relation [17,19,20]. Usually, it is convenient (but not necessarily) to perform the construction of the set A on the basis of the dynamical variable A 0 , which is associated with the processes experimentally studied.…”
Section: Theoretical Backgroundmentioning
confidence: 99%