Everything about Statistical Physics totally explained
Statistical physics is one of the fundamental theories of
physics, and uses methods of
statistics in solving physical problems. It can describe a wide variety of fields with an inherently
stochastic nature. Examples include problems involving
nuclear reactions, and topics in the fields of
biology,
chemistry,
neurology and even some social sciences such as
sociology.
The term "statistical physics" encompasses
probabilistic and
statistical approaches to
classical mechanics and
quantum mechanics.
Statistical mechanics is then often used as a synonym. When the context requires a distinction, one uses the terms
classical statistical mechanics and
quantum statistical mechanics.
A statistical approach can work well in classical systems when the number of
degrees of freedom (and so the number of variables) is so large that exact solution isn't possible, or not really useful. Statistical mechanics can also describe work in
non-linear dynamics,
chaos theory,
thermal physics,
fluid dynamics (particularly at high
Knudsen numbers), or
plasma physics.
Although some problems in statistical physics can be solved analytically using approximations and expansions, most current research utilizes the large processing power of modern computers to simulate or approximate solutions. A common approach to statistical problems is to use a
Monte Carlo simulation to yield insight into the dynamics of a complex system.
Further Information
Get more info on 'Statistical Physics'.
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