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Conservative system
Conservative system
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In physics and 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

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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

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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 .

Properties

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For a non-singular transformation , the following statements are equivalent:[1][3][4]

  • τ is conservative.
  • τ is incompressible.
  • Every wandering set of τ is null.
  • For all sets σ of positive measure, .

The above implies that, if and is measure-preserving, then the dynamical system is conservative. This is effectively the modern statement of the Poincaré recurrence theorem. A sketch of a proof of the equivalence of these four properties is given in the article on the Hopf decomposition.

Suppose that and is measure-preserving. Let be a wandering set of . By definition of wandering sets and since preserves , would thus contain a countably infinite union of pairwise disjoint sets that have the same -measure as . Since it was assumed , it follows that is a null set, and so all wandering sets must be null sets.

This argumentation fails for even the simplest examples if . Indeed, consider for instance , where denotes the Lebesgue measure, and consider the shift operator . Since the Lebesgue measure is translation-invariant, is measure-preserving. However, is not conservative. In fact, every interval of length strictly less than contained in is wandering. In particular, can be written as a countable union of wandering sets.

Hopf decomposition

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The Hopf decomposition states that every measure space with a non-singular transformation can be decomposed into an invariant conservative set and a wandering (dissipative) set. A commonplace informal example of Hopf decomposition is the mixing of two liquids (some textbooks mention rum and coke): The initial state, where the two liquids are not yet mixed, can never recur again after mixing; it is part of the dissipative set. Likewise any of the partially-mixed states. The result, after mixing (a cuba libre, in the canonical example), is stable, and forms the conservative set; further mixing does not alter it. In this example, the conservative set is also ergodic: if one added one more drop of liquid (say, lemon juice), it would not stay in one place, but would come to mix in everywhere. One word of caution about this example: although mixing systems are ergodic, ergodic systems are not in general mixing systems! Mixing implies an interaction which may not exist. The canonical example of an ergodic system that does not mix is irrational rotation of a circle.

Ergodic decomposition

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The ergodic decomposition theorem states, roughly, that every conservative system can be split up into components, each component of which is individually ergodic. An informal example of this would be a tub, with a divider down the middle, with liquids filling each compartment. The liquid on one side can clearly mix with itself, and so can the other, but, due to the partition, the two sides cannot interact. Clearly, this can be treated as two independent systems; leakage between the two sides, of measure zero, can be ignored. The ergodic decomposition theorem states that all conservative systems can be split into such independent parts, and that this splitting is unique (up to differences of measure zero). Thus, by convention, the study of conservative systems becomes the study of their ergodic components.

Formally, every ergodic system is conservative. Recall that an invariant set σ ∈ Σ is one for which τ(σ) = σ. For an ergodic system, the only invariant sets are those with measure zero or with full measure (are null or are conull); that they are conservative then follows trivially from this.

When τ is ergodic, the following statements are equivalent:[1]

  • τ is conservative and ergodic
  • For all measurable sets σ, ; that is, σ "sweeps out" all of X.
  • For all sets σ of positive measure, and for almost every , there exists a positive integer n such that .
  • For all sets and of positive measure, there exists a positive integer n such that
  • If , then either or the complement has zero measure: .

See also

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

Notes

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
In , a conservative system is a on a that has no wandering sets of positive measure. This means that for any measurable set AA with positive measure, the iterates under the transformation return to intersect AA with positive measure infinitely often, embodying the idea of recurrence without dissipation of measure. Informally, conservative systems model dynamical processes where the "volume" or measure in is preserved and does not "leak away" to infinity or disappear, contrasting with dissipative systems. This property ensures that trajectories remain confined in a way that almost every point recurs arbitrarily close to its starting position, as guaranteed by the for finite-measure spaces. The concept is central to understanding long-term behavior in non-dissipative dynamical systems, such as those arising from under , where volume is incompressible. Common examples include irrational rotations on the circle, which are conservative and but not mixing. In broader terms, conservative systems allow for decompositions like the Hopf decomposition into wandering and conservative parts, facilitating analysis of recurrence and .

Introduction

Informal Description

In dynamical systems, a conservative system describes the evolution of points in a where trajectories tend to revisit neighborhoods of their starting points infinitely often, ensuring that the system's behavior remains confined without permanent loss of "mass" or measure. This contrasts with dissipative systems, where parts of the effectively "leak" away, leading to contraction and irreversible spreading of trajectories toward attractors. A real-world illustrates this: imagine gas particles bouncing indefinitely within a sealed, closed , repeatedly returning near their initial positions over vast timescales, versus particles in a leaky that gradually escape, reducing the effective volume explored. In conservative systems, the volume of occupied by an ensemble of points remains unchanged over time, preserving the overall without . This idea traces back to Henri Poincaré's insight in the late , where he recognized that in bounded mechanical systems with finite , nearly all points must recur close to their origins due to the conservation of measure, laying foundational groundwork for understanding long-term recurrence in isolated dynamics. Such systems often relate to measure-preserving transformations, where the mapping maintains the size of sets under .

Historical Development

The concept of conservative systems in traces its origins to Poincaré's foundational work on recurrence in . In his 1890 memoir, Poincaré established the recurrence theorem, stating that in a finite-volume under a measure-preserving transformation, almost every point returns arbitrarily close to its initial position infinitely often, laying the groundwork for understanding systems without dissipative behavior. This insight, derived from the , highlighted the conservative nature of mechanical systems with bounded , influencing later developments in by emphasizing recurrent dynamics over dissipation. The formalization of conservative systems advanced significantly in through Eberhard Hopf's contributions to , particularly for infinite measure spaces. Hopf introduced the canonical decomposition that separates conservative and dissipative components, enabling the analysis of transformations where measure is neither created nor destroyed in a global sense. His work on the geodesic flow on surfaces of constant negative curvature demonstrated in such settings, linking recurrence to conservative properties and extending Poincaré's ideas to non-compact spaces. Parallel developments by and further connected conservativity to mixing and ergodic properties in the early 1930s. Birkhoff's 1931 pointwise ergodic theorem established that time averages converge almost everywhere for measure-preserving transformations on finite spaces, implying strong recurrence akin to conservativity. Von Neumann's 1932 mean ergodic theorem complemented this by proving convergence in L² for unitary operators, providing a framework that underscored the stability of conservative dynamics without wandering sets. These results solidified the role of conservativity in distinguishing recurrent from transient behaviors within . Post-1950 advancements, notably by Ulrich Krengel, refined the theory for infinite measures and extended applications to stochastic processes like Markov chains. Krengel's work in the 1970s and his 1985 monograph developed ergodic theorems for nonsingular transformations on infinite spaces, clarifying the structure of conservative components and their implications for long-term recurrence in non-probabilistic settings. Key milestones include Poincaré's Sur le problème des trois corps et les équations de la dynamique (1890) and Hopf's Fuchsian groups and (1936), marking the progression from qualitative recurrence to rigorous decompositions.

Core Concepts

Measure-Preserving Transformations

A measure-preserving transformation is a fundamental concept in , serving as the foundational structure for studying dynamical systems that conserve measure. Formally, let (X,B,μ)(X, \mathcal{B}, \mu) be a , where XX is the set, B\mathcal{B} is a σ\sigma-algebra of subsets of XX, and μ:B[0,]\mu: \mathcal{B} \to [0, \infty] is a measure. A measurable map T:XXT: X \to X is measure-preserving if for every measurable set ABA \in \mathcal{B}, μ(T1(A))=μ(A)\mu(T^{-1}(A)) = \mu(A). This condition ensures that the preimage under TT of any measurable set has the same measure as the set itself, preserving the "size" of sets in the space. Key properties follow directly from this definition. Measure-preserving transformations preserve null sets: if μ(A)=0\mu(A) = 0, then μ(T1(A))=0\mu(T^{-1}(A)) = 0, meaning sets of measure zero are mapped to sets of measure zero. Additionally, for the indicator function 1A1_A of a measurable set AA, the transformation preserves its integrability with respect to μ\mu, as X1ATdμ=μ(T1(A))=μ(A)=X1Adμ\int_X 1_A \circ T \, d\mu = \mu(T^{-1}(A)) = \mu(A) = \int_X 1_A \, d\mu. More generally, this extends to Lebesgue integral invariance: for any integrable function f:XRf: X \to \mathbb{R} (i.e., Xfdμ<\int_X |f| \, d\mu < \infty), XfTdμ=Xfdμ.\int_X f \circ T \, d\mu = \int_X f \, d\mu. This invariance underpins applications such as Birkhoff's pointwise ergodic theorem, which analyzes time averages in dynamical systems. Classic examples illustrate these concepts. Consider the unit circle T=R/Z\mathbb{T} = \mathbb{R}/\mathbb{Z} equipped with the Lebesgue measure μ\mu normalized to 1. The rotation map Tα:xx+α(mod1)T_\alpha: x \mapsto x + \alpha \pmod{1}, for irrational α\alpha, is measure-preserving because it rigidly shifts sets without distortion, satisfying μ(Tα1(A))=μ(A)\mu(T_\alpha^{-1}(A)) = \mu(A) for any arc AA. Similarly, on the dd-dimensional torus Td\mathbb{T}^d, translations by a fixed vector preserve the product Lebesgue measure, providing a simple invertible example of such a transformation. Measure-preserving transformations represent an exact preservation of measure, distinct from the broader class of non-singular transformations, which only require preservation of null sets but may alter measures of positive sets. This strict invariance plays a crucial role in establishing recurrence properties in conservative systems.

Wandering Sets and Recurrence

In ergodic theory, a wandering set for a measure-preserving transformation TT on a measure space (X,B,μ)(X, \mathcal{B}, \mu) is defined as a measurable set WBW \in \mathcal{B} such that the forward orbits {Tn(W)}n=0\{T^n(W)\}_{n=0}^\infty are pairwise disjoint, meaning μ(Tn(W)Tm(W))=0\mu(T^n(W) \cap T^m(W)) = 0 for all nmn \neq m with n,m0n, m \geq 0. This concept captures regions of the space where the dynamics "escape" without overlapping, preventing recurrent behavior in those sets. The provides a foundational result linking measure preservation to recurrent dynamics. Specifically, for a finite-measure space with μ(X)<\mu(X) < \infty and a measure-preserving transformation T:XXT: X \to X, if ABA \in \mathcal{B} has positive measure μ(A)>0\mu(A) > 0, then the set of points xAx \in A such that Tn(x)AT^n(x) \notin A for all n>0n > 0 has measure zero; equivalently, point in AA returns to AA infinitely often under iterations of TT. This theorem, originally formulated by in 1890 and rigorously established in the context of , underscores that finite measure preservation forces recurrent trajectories . A key implication of the is that, in finite-measure systems, there cannot exist wandering sets of positive measure, as any such set would contradict the infinite returns guaranteed for almost every point. In other words, the absence of positive-measure wandering sets ensures that orbits revisit neighborhoods indefinitely, reflecting a form of dynamical "conservation" where measure does not dissipate into disjoint regions. This property extends intuitively to infinite-measure settings, where the lack of wandering sets similarly enforces recurrent behavior, though without the full strength of Poincaré's finite-measure guarantee. The theorem can be stated quantitatively for an UXU \subset X as follows: if μ(X)<\mu(X) < \infty, then μ({xU:Tn(x)U for infinitely many n1})=μ(U).\mu\left(\left\{x \in U : T^n(x) \in U \text{ for infinitely many } n \geq 1\right\}\right) = \mu(U). This equality highlights that the recurrent of UU retains the full measure of UU, providing a precise measure-theoretic description of return frequencies. Systems lacking wandering sets of positive measure are termed conservative with respect to the measure μ\mu, as the dynamics preserve the "mass" by confining orbits to recurrent components rather than allowing escape to disjoint wandering regions. This notion of conservativity serves as a precursor to broader classifications in ergodic theory, distinguishing recurrent from dissipative behaviors.

Formal Framework

Definition of Conservative Systems

In ergodic theory, a non-singular transformation T:XXT: X \to X on a standard probability space (X,B,μ)(X, \mathcal{B}, \mu) is defined to be conservative if it admits no wandering set of positive measure. Here, a measurable set WBW \in \mathcal{B} is wandering for TT if the forward iterates {TnW:n=0,1,2,}\{T^n W : n = 0, 1, 2, \dots \} are pairwise disjoint modulo null sets. This condition ensures that measure is not "dissipated" or lost to disjoint regions under iteration, preserving the incompressibility of the dynamics with respect to the measure class of μ\mu. An equivalent characterization is that TT is conservative if and only if for every measurable set ABA \in \mathcal{B} with μ(A)>0\mu(A) > 0, there exists some integer n1n \geq 1 such that μ(ATnA)>0\mu(A \cap T^{-n} A) > 0. This return condition implies that orbits under TT revisit sets of positive measure, extending Poincaré recurrence to the non-singular setting. Another equivalence is incompressibility: TT is conservative if and only if for every measurable CBC \in \mathcal{B} with T1CCT^{-1} C \subset C, it holds that μ(CT1C)=0\mu(C \setminus T^{-1} C) = 0, meaning no positive measure escapes the set under the inverse dynamics. These formulations highlight the absence of systematic measure leakage in conservative systems. The notion of conservativity generalizes naturally to infinite σ\sigma-finite measure spaces, where the same criteria apply without requiring finite total measure, as formalized in Hopf's foundational work on . In contrast, dissipative systems are those admitting a wandering set of positive measure, allowing measure to be dispersed into disjoint components without return, which fundamentally differs from the recurrent behavior enforced in conservative dynamics. For instance, finite measure-preserving transformations are always conservative by the , underscoring the role of conservativity in ensuring long-term orbital persistence.

Non-Singular Transformations

In the context of ergodic theory, a measurable transformation T:XXT: X \to X on a σ\sigma-finite measure space (X,B,μ)(X, \mathcal{B}, \mu) is defined to be non-singular if it preserves null sets under the inverse map, meaning μ(A)=0\mu(A) = 0 if and only if μ(T1A)=0\mu(T^{-1}A) = 0 for all ABA \in \mathcal{B}. This condition ensures that TT does not map sets of positive measure to null sets or vice versa, maintaining the equivalence of measures in a transformed sense. The non-singularity of TT implies that the measures μ\mu and μT1\mu \circ T^{-1} (the pushforward TμT_* \mu) are mutually absolutely continuous. By the Radon-Nikodym theorem, there exists a positive measurable function h:X(0,)h: X \to (0, \infty), unique up to μ\mu-almost everywhere equality, such that d(μT1)=hdμ,d(\mu \circ T^{-1}) = h \, d\mu, meaning μ(T1A)=Ahdμ\mu(T^{-1}A) = \int_A h \, d\mu for all ABA \in \mathcal{B}. This hh serves as the density of the transformed measure with respect to the original. Locally, for xT1(B)x \in T^{-1}(B) and suitable sets BBB \in \mathcal{B}, h(x)=dμ(T1B)dμ(B),h(x) = \frac{d\mu(T^{-1}B)}{d\mu(B)}, analogous to a Jacobian determinant in the differentiable case, capturing the local scaling of measure under TT. Non-singular transformations extend the framework beyond finite measures, accommodating σ\sigma-finite (possibly infinite) measures where strict invariance may not hold. They encompass all measure-preserving transformations as a subclass, where h=1h = 1 μ\mu-, but allow for more general dynamics where measure is quasi-invariant. This generality is essential for analyzing systems on infinite spaces, such as certain flows or infinite-dimensional models. The class of non-singular transformations provides the ambient setting for conservative systems, where the conservativity condition—absence of wandering sets of positive measure—ensures recurrent behavior within this broader measure-theoretic structure, enabling the study of dynamics that mimic dissipation without actual measure loss.

Decompositions and Properties

Hopf Decomposition

In ergodic theory, the Hopf decomposition theorem establishes a fundamental partition of the measure space associated with a non-singular transformation, separating recurrent from transient behaviors. For a non-singular transformation T:XXT: X \to X on a σ\sigma-finite measure space (X,B,μ)(X, \mathcal{B}, \mu), the theorem asserts that there exist disjoint TT-invariant measurable sets CC and DD such that X=CDX = C \cup D up to a μ\mu-null set, where TT is conservative on CC and dissipative on DD, with the decomposition unique up to null sets. This result, originally due to Eberhard Hopf, applies to transformations preserving the measure class without necessarily preserving the measure itself. The construction of the decomposition iteratively identifies and removes wandering sets to form the dissipative part DD. A wandering set WBW \in \mathcal{B} with μ(W)>0\mu(W) > 0 satisfies μ(TnWTmW)=0\mu(T^n W \cap T^m W) = 0 for all distinct integers n,mn, m. If the system admits wandering sets of positive measure, a maximal such set exists by Zorn's lemma, and DD is the union of all disjoint translates TnWT^n W over nZn \in \mathbb{Z}, extended to the largest possible such union covering all dissipative behavior. The complement C=XDC = X \setminus D (up to null sets) then forms the conservative part, where no wandering sets of positive measure exist. Both CC and DD are TT-invariant modulo null sets. Key properties highlight the distinct dynamics on each part. On CC, TT is conservative, meaning for any ECE \subset C with μ(E)>0\mu(E) > 0, the iterates TnET^n E intersect EE for infinitely many nn, ensuring recurrent orbits . On DD, TT is dissipative, as DD admits a wandering set WW such that the nZTnW\bigcup_{n \in \mathbb{Z}} T^n W covers DD up to a , with nZμ(TnW)=\sum_{n \in \mathbb{Z}} \mu(T^n W) = \infty possible in infinite measure spaces. These properties hold regardless of whether μ(C)\mu(C) or μ(D)\mu(D) is finite or infinite, provided μ\mu is σ\sigma-finite. A proof sketch proceeds by first assuming the existence of wandering sets and constructing a maximal one via the , ensuring additivity of measures under disjointness due to non-singularity. If DD were not the full dissipative component, a further wandering set in the putative larger conservative part would contradict maximality, forcing CC to lack positive-measure wandering sets. follows from the fact that any two such decompositions must coincide on the union of all maximal wandering sets, differing only by null sets. This decomposition identifies "eternal" recurrent structures on CC, where dynamics persist indefinitely, versus "transient" behaviors on DD, where orbits escape to infinity, providing essential structure for infinite-measure non-singular systems beyond strict measure preservation.

Ergodic Decomposition

The ergodic decomposition theorem states that any measure-preserving transformation TT on a probability space (X,B,μ)(X, \mathcal{B}, \mu) can be decomposed into ergodic components, where the invariant measure μ\mu is expressed as an integral over a family of ergodic TT-invariant probability measures {μy}yY\{\mu_y\}_{y \in Y} supported on disjoint invariant sets EyXE_y \subset X, with YY being the factor space X/I(T)X / \mathcal{I}(T) modulo the σ\sigma-algebra I(T)\mathcal{I}(T) of TT-invariant sets. Each ergodic component EyE_y is TT-invariant, and TEyT|_{E_y} is ergodic with respect to μy\mu_y for ν\nu-almost every yy, where ν\nu is the pushforward measure on YY. In the context of conservative systems, the conservative part identified in the Hopf decomposition further decomposes into ergodic conservative components. Since ergodic measure-preserving transformations satisfy the , each such component is conservative, meaning it contains no wandering sets of positive measure. The ergodic components possess key properties: they represent minimal TT-invariant sets in the sense that no proper subset of positive measure is invariant, and on each component EyE_y, the Birkhoff ergodic theorem ensures that time averages equal space averages for integrable functions, i.e., limn1nk=0n1f(Tkx)=Eyfdμy\lim_{n \to \infty} \frac{1}{n} \sum_{k=0}^{n-1} f(T^k x) = \int_{E_y} f \, d\mu_y almost everywhere with respect to μy\mu_y. This decomposition is unique up to measure-zero sets and is given by the disintegration of μ\mu with respect to I(T)\mathcal{I}(T). Mathematically, for any integrable function ff, the over the decomposes as Xfdμ=Y(Eyfdμy)dν(y),\int_X f \, d\mu = \int_Y \left( \int_{E_y} f \, d\mu_y \right) d\nu(y), where the inner is the onto the component. In cases of σ\sigma-finite measures, normalization may be applied if components have finite positive measure, yielding Xfdμ=Y(1μ(Ey)Eyfdμy)dν(y).\int_X f \, d\mu = \int_Y \left( \frac{1}{\mu(E_y)} \int_{E_y} f \, d\mu_y \right) d\nu(y). This decomposition has significant implications, linking to unique ergodicity—where a single ergodic component implies the system is uniquely ergodic—and to , as the spectrum of the Koopman operator on the full is the essential union of the spectra on the ergodic components.

Examples

Physical Systems

In , physical systems governed by a Hamiltonian function exhibit conservative dynamics where the flow on preserves volume, as stated by . This theorem asserts that the volume occupied by an of trajectories remains constant over time, reflecting the absence of in the . A classic example is an confined to a box, where particles interact via elastic collisions and move under Newtonian forces; the 's evolution maintains the incompressibility of the distribution, ensuring recurrent behavior in bounded domains. Celestial mechanics provides another illustration through planetary orbits under gravitational influence, which follow conservative dynamics in the two-body or restricted . Here, the flow preserves the symplectic structure, leading to stable, recurrent trajectories for planets like those in the Solar System, where perturbations do not dissipate energy but instead induce long-term periodic motions. This measure-preserving property underpins the predictability of orbital stability over astronomical timescales, as seen in the near-Keplerian paths of and its moons. In , incompressible flows modeled by the Euler equations represent conservative systems where the velocity field satisfies the divergence-free condition, ensuring volume preservation for fluid parcels. The equations, tu+(u)u=p\partial_t \mathbf{u} + (\mathbf{u} \cdot \nabla) \mathbf{u} = -\nabla p with u=0\nabla \cdot \mathbf{u} = 0, describe inviscid fluids like ideal liquids, maintaining kinetic energy and inducing recurrent patterns in bounded domains such as a toroidal flow. This preservation aligns with the Hamiltonian structure of the equations, highlighting their time-reversible nature without energy loss. The particle dynamics in Saturn's rings exemplify a conservative system, where icy bodies under Saturn's in a collisionless, Hamiltonian framework that conserves measure. Shepherded by moons like , the rings maintain stable density distributions through gravitational resonances, exhibiting recurrent clustering without net mass loss. In contrast, introducing , as in the Navier-Stokes equations for real fluids, transforms the system into a dissipative one by adding frictional terms that contract volumes and prevent recurrence.

Mathematical Models

One prominent example of a conservative system is the irrational rotation on the torus. Consider the two-dimensional torus T2=R2/Z2\mathbb{T}^2 = \mathbb{R}^2 / \mathbb{Z}^2 equipped with the Lebesgue measure λ\lambda, which is preserved by the rotation map Rα,β:(x,y)(x+α,y+β)(mod1)R_{\alpha, \beta}: (x, y) \mapsto (x + \alpha, y + \beta) \pmod{1}, where α,β[0,1)\alpha, \beta \in [0,1) are such that 1,α,β1, \alpha, \beta are linearly independent over the rationals. This transformation is ergodic with respect to λ\lambda, implying that it is conservative, as every ergodic measure-preserving transformation satisfies the Poincaré recurrence theorem without wandering sets. Another classic illustration arises from Bernoulli shifts on infinite product spaces. The one-sided Bernoulli shift acts on the space X={0,1}NX = \{0,1\}^{\mathbb{N}} (or more generally, a product of finite sets) via the shift map σ:(x1,x2,)(x2,x3,)\sigma: (x_1, x_2, \dots) \mapsto (x_2, x_3, \dots), preserving the μ=n=1μn\mu = \prod_{n=1}^\infty \mu_n where each μn\mu_n is a on the finite alphabet (e.g., Bernoulli with p(0,1)p \in (0,1)). This system is ergodic under μ\mu, hence conservative, due to the independence of coordinates ensuring that invariant sets have measure 0 or 1. Horocycle flows provide an example in the setting of infinite measure spaces, where conservativity follows from the Hopf decomposition. On the unit tangent bundle T1(M)T^1(M) of a hyperbolic surface MM of finite area (but infinite volume in the flow direction), the horocycle flow {ht}tR\{h_t\}_{t \in \mathbb{R}} preserves the Liouville measure ν\nu, which is infinite. This flow is conservative, meaning the conservative part in the Hopf decomposition coincides with the entire space modulo null sets, as there are no wandering sets of positive measure; ergodicity further ensures unique infinite invariant measures up to scalar multiples. In the discrete setting, recurrent irreducible Markov chains model conservative systems. Consider a countable state space SS with transition kernel P:S×B(S)[0,1]P: S \times \mathcal{B}(S) \to [0,1] forming an irreducible chain, meaning every state communicates with every other. If the chain is recurrent (positive or null), it admits an invariant measure π\pi (finite for positive recurrence, infinite for null), and the associated (S,P,π)(S, P, \pi) is conservative, as recurrence implies that orbits return infinitely often without dissipation to transient components. A contrasting non-example is the one-sided shift on a finite equipped with a dissipative measure. For the full one-sided shift σ\sigma on {0,1}N\{0,1\}^{\mathbb{N}} with a σ\sigma-finite but dissipative invariant measure μ\mu (e.g., a measure where the Hopf decomposition has a positive-measure dissipative part, such as certain weighted products decaying to zero), the system fails to be conservative, as points escape to wandering sets under iteration.

References

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