Local entropy theory of a random dynamical system by Anthony H. Dooley

By Anthony H. Dooley

During this paper the authors expand the inspiration of a continual package random dynamical process to the atmosphere the place the motion of R or N is changed via the motion of an enormous countable discrete amenable staff. Given this kind of method, and a monotone sub-additive invariant kinfolk of random non-stop features, they introduce the concept that of neighborhood fiber topological strain and determine an linked variational precept, pertaining to it to measure-theoretic entropy. in addition they speak about a few variations of this variational precept. The authors introduce either topological and measure-theoretic entropy tuples for non-stop package deal random dynamical structures, and practice variational rules to acquire a dating among those of entropy tuples. ultimately, they provide purposes of those effects to common topological dynamical structures, getting better and lengthening many fresh ends up in neighborhood entropy thought

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8. The family F = {Fg,ω : Eω → Egω |g ∈ G, ω ∈ Ω}, which is well defined naturally, is a continuous bundle RDS over (Ω, F, P, G). 8. First, the map ψG : Ω × C G → Ω × X G , (ω, (cg )g∈G ) → (ω, (φcg )g∈G ) −1 (EG ), where is obviously measurable. We let E = ψG EG = {(ω, (xg )g∈G ) : (ω, xeG ) ∈ E, xg = Fg,ω xeG for each g ∈ G and any ω ∈ Ω}. Since EG ∈ F × BX G , it follows that E ∈ F × BX . The measurability of (ω, (cg )g∈G ) ∈ E → Fg ,ω ((cg )g∈G ) = (cg g )g∈G for fixed g ∈ G and the equality Fg2 ,g1 ω ◦ Fg1 ,ω = Fg2 g1 ,ω for each ω ∈ Ω and all g1 , g2 ∈ G are easy to see.

R) (r) (1) If W ∈ CΩ then hμ (F, (W × X)E ) = hμ (F, ({Ω} × X)E ) = 0. (2) If ξ ∈ PΩ and V ∈ CX then inf β∈PX ,β V (r) (r) h(r) μ (F, (Ω × β)E ) ≥ hμ (F, (Ω × V)E ) = hμ (F, (ξ × V)E ). (3) Assume that U ∈ CE is in the form of U = {(Ωi × Bi )c : i = 1, · · · , n}, n ∈ N\{1}, where Ωi ∈ F and Bi ∈ BX for each i = 1, · · · , n. If P( n Ωi ) = 0 i=1 (r) then hμ (F, U) = 0. Proof. 4. Now we check (3). By the assumption, U = {(Ωi × Bi )c : i = 1, · · · , n} ∈ CE , n where Ωi ∈ F and Bi ∈ BX for each i = 1, · · · , n, and P( Ωi ) = 0.

V∈Co X Observe that, for convenience, μ may be viewed as a probability measure over (Ω × X, F × BX ) and so (Ω × X, F × BX , μ, G) may be viewed as an MDS defined up to μ-null sets. Let PΩ×X be the set of all finite partitions of (Ω × X, F × BX , μ). 4. 8). Let γ ∈ PΩ×X . 1 (4) we estimate hμ (G, γ|F × {X}) arbitrarily closely from above by hμ (G, ξ × α|F × {X}), as F × {X} ⊆ F × BX is a G-invariant sub-σ-algebra. 10) hμ (G, Ω × X|F × {X}) = sup sup hμ (G, ξ × α|F × {X}). 1, may also be viewed as the disintegration of μ over F × {X}.

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