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Conservative system

In mathematics, a conservative system is a dynamical system which stands in contrast to a dissipative system. Roughly speaking, such systems have no friction or other mechanism to dissipate the dynamics, and thus, their phase space does not shrink over time. Precisely speaking, they are those dynamical systems that have a null wandering set: under time evolution, no portion of the phase space ever "wanders away", never to be returned to or revisited. Alternately, conservative systems are those to which the Poincaré recurrence theorem applies. An important special case of conservative systems are the measure-preserving dynamical systems.

Informal introduction[edit]

Informally, dynamical systems describe the time evolution of the phase space of some mechanical system. Commonly, such evolution is given by some differential equations, or quite often in terms of discrete time steps. However, in the present case, instead of focusing on the time evolution of discrete points, one shifts attention to the time evolution of collections of points. One such example would be Saturn's rings: rather than tracking the time evolution of individual grains of sand in the rings, one is instead interested in the time evolution of the density of the rings: how the density thins out, spreads, or becomes concentrated. Over short time-scales (hundreds of thousands of years), Saturn's rings are stable, and are thus a reasonable example of a conservative system and more precisely, a measure-preserving dynamical system. It is measure-preserving, as the number of particles in the rings does not change, and, per Newtonian orbital mechanics, the phase space is incompressible: it can be stretched or squeezed, but not shrunk (this is the content of Liouville's theorem).

Formal definition[edit]

Formally, a measurable dynamical system is conservative if and only if it is non-singular, and has no wandering sets.[1]


A measurable dynamical system (X, Σ, μ, τ) is a Borel space (X, Σ) equipped with a sigma-finite measure μ and a transformation τ. Here, X is a set, and Σ is a sigma-algebra on X, so that the pair (X, Σ) is a measurable space. μ is a sigma-finite measure on the sigma-algebra. The space X is the phase space of the dynamical system.


A transformation (a map) is said to be Σ-measurable if and only if, for every σ ∈ Σ, one has . The transformation is a single "time-step" in the evolution of the dynamical system. One is interested in invertible transformations, so that the current state of the dynamical system came from a well-defined past state.


A measurable transformation is called non-singular when if and only if .[2] In this case, the system (X, Σ, μ, τ) is called a non-singular dynamical system. The condition of being non-singular is necessary for a dynamical system to be suitable for modeling (non-equilibrium) systems. That is, if a certain configuration of the system is "impossible" (i.e. ) then it must stay "impossible" (was always impossible: ), but otherwise, the system can evolve arbitrarily. Non-singular systems preserve the negligible sets, but are not required to preserve any other class of sets. The sense of the word singular here is the same as in the definition of a singular measure in that no portion of is singular with respect to and vice versa.


A non-singular dynamical system for which is called invariant, or, more commonly, a measure-preserving dynamical system.


A non-singular dynamical system is conservative if, for every set of positive measure and for every , one has some integer such that . Informally, this can be interpreted as saying that the current state of the system revisits or comes arbitrarily close to a prior state; see Poincaré recurrence for more.


A non-singular transformation is incompressible if, whenever one has , then .

τ is conservative.

τ is incompressible.

Every of τ is null.

wandering set

For all sets σ of positive measure, .

a description of thermodynamic equilibrium in quantum mechanical systems; dual to modular theories for von Neumann algebras.

KMS state

Danilenko, Alexandre I.; Silva, Cesar E. (2009). "Ergodic theory: Nonsingular transformations". Encyclopedia of Complexity and Systems Science. Springer: 3055–3083. :0803.2424. doi:10.1007/978-0-387-30440-3_183. ISBN 978-0-387-75888-6.

arXiv

Krengel, Ulrich (1985). Ergodic theorems. De Gruyter Studies in Mathematics. Vol. 6. de Gruyter.  3-11-008478-3.

ISBN

Sarig, Omri (March 8, 2020). (PDF). Home | Omri Sarig. Weizmann Institute.

"Lecture Notes on Ergodic Theory"

Nicholls, Peter J. (1989). . Cambridge: Cambridge University Press. ISBN 0-521-37674-2.

The Ergodic Theory of Discrete Groups

Wilkinson, Aime (2008). "Smooth Ergodic Theory". :0804.0167 [math.DS].

arXiv