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The fact that this smoothing did not remove any information-carrying signal from the microstate sequence and that furthermore the original microstate sequences and the regressors show the same relative behavior at temporal scales about two orders of magnitude apart suggests that the time courses of the EEG microstates are scale invariant."
In statistical mechanics, a microstate is a specific configuration of a system that describes the precise positions and momenta of all the individual particles or components that make up the system. Each microstate has a certain probability of occurring during the course of the system's thermal fluctuations .
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Constant-pressure simulations are useful for determining the equation of state of a pure system. Monte Carlo simulations using the -ensemble are particularly useful for determining the equation of state of fluids at pressures of around 1 atm, where they can achieve accurate results with much less computational time than other ensembles.
In other words, a microstate in classical mechanics is a phase space region, and this region has volume h n C. This means that each microstate spans a range of energy, however this range can be made arbitrarily narrow by choosing h to be very small. The phase space integral can be converted into a summation over microstates, once phase space ...
Boltzmann's equation—carved on his gravestone. [1]In statistical mechanics, Boltzmann's equation (also known as the Boltzmann–Planck equation) is a probability equation relating the entropy, also written as , of an ideal gas to the multiplicity (commonly denoted as or ), the number of real microstates corresponding to the gas's macrostate:
which is recognized as the probability of some microstate given a prescribed macrostate using the Gibbs rotational ensemble. [ 1 ] [ 3 ] [ 2 ] The term E i − ω → ⋅ J → i {\displaystyle E_{i}-{\vec {\omega }}\cdot {\vec {J}}_{i}} can be recognized as the effective Hamiltonian H {\displaystyle {\mathcal {H}}} for the system, which then ...
In statistical mechanics, the ensemble average is defined as the mean of a quantity that is a function of the microstate of a system, according to the distribution of the system on its micro-states in this ensemble. Since the ensemble average is dependent on the ensemble chosen, its mathematical expression varies from ensemble to ensemble.