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Essentials of Computational Chemistry

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3.5 ENSEMBLE AND DYNAMICAL PROPERTY EXAMPLES 87<br />

no time delay at all), and this quantity, 〈a 2 〉 (which can be determined from MC simulations<br />

since no time correlation is involved) may be regarded as a normalization constant.<br />

Now let us consider the behavior <strong>of</strong> C for long time delays. In a system where property<br />

a is not periodic in time, like a typical chemical system subject to effectively random<br />

thermal fluctuations, two measurements separated by a sufficiently long delay time should<br />

be completely uncorrelated. If two properties x and y are uncorrelated, then 〈xy〉 is equal<br />

to 〈x〉〈y〉, so at long times C decays to 〈a〉 2 .<br />

While notationally burdensome, the discussion above makes it somewhat more intuitive<br />

to consider a reduced autocorrelation function defined by<br />

Ĉ(t) = 〈[a(t0) −〈a〉][a(t0 + t) −〈a〉]〉t0<br />

〈[a −〈a〉] 2 〉<br />

(3.46)<br />

which is normalized and, because the arguments in brackets fluctuate about their mean (and<br />

thus have individual expectation values <strong>of</strong> zero) decays to zero at long delay times. Example<br />

autocorrelation plots are provided in Figure 3.5. The curves can be fit to analytic expressions<br />

to determine characteristic decay times. For example, the characteristic decay time for an<br />

autocorrelation curve that can be fit to exp(−ζt) is ζ −1 time units.<br />

Different properties have different characteristic decay times, and these decay times can<br />

be quite helpful in deciding how long to run a particular MD simulation. Since the point<br />

<strong>of</strong> a simulation is usually to obtain a statistically meaningful sample, one does not want<br />

to compute an average over a time shorter than several multiples <strong>of</strong> the characteristic<br />

decay time.<br />

C<br />

Figure 3.5 Two different autocorrelation functions. The solid curve is for a property that shows no<br />

significant statistical noise and appears to be well characterized by a single decay time. The dashed<br />

curve is quite noisy and, at least initially, shows a slower decay behavior. In the absence <strong>of</strong> a very<br />

long sample, decay times can depend on the total time sampled as well<br />

t

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