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Dynamics-Based Thermostat Techniques

Deterministic trajectories can sometimes be used to sample the canonical measure. A very simple technique of this type is Hamiltonian dynamics itself. [Pg.330]

Recall from Chap. 5 that, as the dynamics automatically preserves functions of H, the Liouvillian satisfies Ccp(H) = 0. We also know that for Hamiltonian dynamics is skew-adjoint, i.e., = — which implies that = 0. Hence any [Pg.330]

If we select a set of points at random from the canonical distribution, then initiate trajectories of Hamiltonian dynamics from each of these points, the points will remain Gibbs-distributed over time. If the paths themselves are ergodic on the surfaces of constant energy H = E then the collection of paths may provide a usable sampling of the canonical distribution. Such a sampling technique relies on having the means of choosing initial points from the canonical distribution as this is the [Pg.330]

Alternative families of methods exist which are based on extending the phase space of the system in such a way as to (a) disturb the conserved quantity H = E, while (b) nonetheless preserving the phase space distribution. In general these [Pg.331]

Assuming ergodicity of the coupled system it is then possible to calculate averages with respect to the Gibbs-Boltzmann measure by direct averaging along trajectories of the extended system. [Pg.331]


See other pages where Dynamics-Based Thermostat Techniques is mentioned: [Pg.330]    [Pg.331]    [Pg.333]    [Pg.336]    [Pg.330]    [Pg.331]    [Pg.333]    [Pg.336]    [Pg.39]    [Pg.221]    [Pg.729]    [Pg.114]    [Pg.989]    [Pg.657]    [Pg.99]   


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