As a stronger form of multi-sensitivity, the notion of ergodic multi-sensitivity (resp. strongly ergodically multi-sensitivity) is introduced. In particularly, it is proved that every topologically double ergodic continuous selfmap (resp. topologically double strongly ergodic selfmap) on a compact metric space is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive). And for any given integer m≥2, f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if and only if so is fm. Also, it is shown that if f is a continuous surjection, then f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if and only if so is σf, where σf is the shift selfmap on the inverse limit space lim←(X,f). Moreover, it is proved that if f:X→X (resp. g:Y→Y) is a map on a nontrivial metric space (X,d) (resp. (Y,d′)), and π is a semiopen factor map between (X,f) and (Y,g), then the ergodic multi-sensitivity (resp. the strongly ergodic multi-sensitivity) of g implies the same property of f.
Citation: Risong Li, Tianxiu Lu, Xiaofang Yang, Yongxi Jiang. Sensitivity for topologically double ergodic dynamical systems[J]. AIMS Mathematics, 2021, 6(10): 10495-10505. doi: 10.3934/math.2021609
[1] | Quanquan Yao, Yuanlin Chen, Peiyong Zhu, Tianxiu Lu . Some stronger forms of mean sensitivity. AIMS Mathematics, 2024, 9(1): 1103-1115. doi: 10.3934/math.2024054 |
[2] | Jie Zhou, Tianxiu Lu, Jiazheng Zhao . The expansivity and sensitivity of the set-valued discrete dynamical systems. AIMS Mathematics, 2024, 9(9): 24089-24108. doi: 10.3934/math.20241171 |
[3] | Jaicer López-Rivero, Hugo Cruz-Suárez, Carlos Camilo-Garay . Nash equilibria in risk-sensitive Markov stopping games under communication conditions. AIMS Mathematics, 2024, 9(9): 23997-24017. doi: 10.3934/math.20241167 |
[4] | Liyuan Lan, Zhiyuan Zhou, Hanqing Liu, Xing Wei, Fajie Wang . An ACA-BM-SBM for 2D acoustic sensitivity analysis. AIMS Mathematics, 2024, 9(1): 1939-1958. doi: 10.3934/math.2024096 |
[5] | Turki D. Alharbi, Md Rifat Hasan . Global stability and sensitivity analysis of vector-host dengue mathematical model. AIMS Mathematics, 2024, 9(11): 32797-32818. doi: 10.3934/math.20241569 |
[6] | Yuanlin Ma, Xingwang Yu . Stochastic analysis of survival and sensitivity in a competition model influenced by toxins under a fluctuating environment. AIMS Mathematics, 2024, 9(4): 8230-8249. doi: 10.3934/math.2024400 |
[7] | Xiaofang Yang, Tianxiu Lu, Waseem Anwar . Transitivity and sensitivity for the $ p $-periodic discrete system via Furstenberg families. AIMS Mathematics, 2022, 7(1): 1321-1332. doi: 10.3934/math.2022078 |
[8] | Chang Hou, Qiubao Wang . The influence of an appropriate reporting time and publicity intensity on the spread of infectious diseases. AIMS Mathematics, 2023, 8(10): 23578-23602. doi: 10.3934/math.20231199 |
[9] | Weili Kong, Yuanfu Shao . The effects of fear and delay on a predator-prey model with Crowley-Martin functional response and stage structure for predator. AIMS Mathematics, 2023, 8(12): 29260-29289. doi: 10.3934/math.20231498 |
[10] | Mohamed Abdelsabour Fahmy, Mohammed O. Alsulami, Ahmed E. Abouelregal . Sensitivity analysis and design optimization of 3T rotating thermoelastic structures using IGBEM. AIMS Mathematics, 2022, 7(11): 19902-19921. doi: 10.3934/math.20221090 |
As a stronger form of multi-sensitivity, the notion of ergodic multi-sensitivity (resp. strongly ergodically multi-sensitivity) is introduced. In particularly, it is proved that every topologically double ergodic continuous selfmap (resp. topologically double strongly ergodic selfmap) on a compact metric space is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive). And for any given integer m≥2, f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if and only if so is fm. Also, it is shown that if f is a continuous surjection, then f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if and only if so is σf, where σf is the shift selfmap on the inverse limit space lim←(X,f). Moreover, it is proved that if f:X→X (resp. g:Y→Y) is a map on a nontrivial metric space (X,d) (resp. (Y,d′)), and π is a semiopen factor map between (X,f) and (Y,g), then the ergodic multi-sensitivity (resp. the strongly ergodic multi-sensitivity) of g implies the same property of f.
It is well known that chaos characterizes the unpredictability of complex systems (see [1,2,3,4,5,6,7,8,9], for example). Sensitive dependence on initial conditions (sensitivity for short) is the essential component of various definitions of chaos. It is widely used in control theory, chaotic cryptography, Chemistry and so on (see [10,11,12,13,14]). And ergodicity is an important part of Markov chain theory. While, what conditions imply that a system is sensitive? This question has gained some attention in [1,2,4,5,6,7,8,9,10] and others.
For continuous self-maps on compact metric spaces, Moothathu [6] initiated a preliminary study of stronger forms of sensitivity formulated in terms of large subsets of Z+={0,1,⋯}, named syndetic sensitivity and cofinite sensitivity. Moreover, he constructed a transitive, sensitive map which is not syndetically sensitive and established the following. (1) Any syndetically transitive, non-minimal map is syndetically sensitive (this improves the result that sensitivity is redundant in Devaney's definition of chaos). (2) Any sensitive map of [0,1] is cofinitely sensitive. (3) Any sensitive subshift of finite type is cofinitely sensitive. () $ Any syndetically transitive, infinite subshift is syndetically sensitive. (5) No Sturmian subshift is cofinitely sensitive. Also, Moothathu [6] tells us that every topologically mixing (resp. topologically weakly mixing) selfmap on a compact metric space is cofinitely sensitive (resp. multi-sensitive). By the definitions, any topologically double ergodic (topologically double strongly ergodic) selfmap of a compact metric space is topologically weakly mixing. So, any topologically double ergodic selfmap (resp. topologically double strongly ergodic selfmap) of a compact metric space is multi-sensitive.
This paper introduces the notion of ergodic (resp. strongly ergodic) multi-sensitivity which is a stronger form of multi-sensitivity. Particularly, if a continuous map of a compact metric space is topologically double ergodic (topologically double strongly ergodic), then it is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive). In Section 3, some necessary and sufficient conditions for ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) are given. These results improve and extend some existing ones.
Let |A| denote the cardinality of A. An upper density of a set A⊂Z+ is the number
d∗(A)=lim supk→∞1k+1∣{0≤j≤k:j∈A}∣. |
An lower density of a set A⊂Z+ is the number
d∗(A)=lim infk→∞1k+1∣{0≤j≤k:j∈A}∣. |
For a dynamical system (X,f) (i.e., X is a compact metric space and f:X→X is a continuous map) with an admissible metric d on X, according to the classical definition, f is sensitive if there is δ>0 such that for each x∈X and any open neighborhood Vx of x, there exists n∈Z+ with sup{d(fn(x),fn(y)):y∈Vx}>δ. One can write this in a slightly different way. For V⊂X and δ>0, write Sf(V,δ)={n∈Z+: there exist x,y∈V with d(fn(x),fn(y))>δ}. Now, the following conclusions is obtained.
(1) f is sensitive if there is δ>0 such that for any nonempty open set V⊂X, the set Sf(V,δ) is nonempty.
(2) f is syndetically sensitive if there is δ>0 such that for every nonempty open subset V⊂X, the set Sf(V,δ) is syndetic (that is, there is an integer L>0 such that Sf(V,δ)∩{n,n+1,⋯,n+L−1}≠∅ for any integer n≥0).
(3) f is cofinitely sensitive if there is δ>0 such that for every nonempty open subset V⊂X, the set Sf(V,δ) is cofinite.
(4) f is ergodically sensitive if there is δ>0 such that for every nonempty open subset V⊂X, the set Sf(V,δ) has positive upper density.
(5) f is multi-sensitive if there is δ>0 such that for every k≥1 and any nonempty open subset V1,V2,⋯,Vk⊂X, the set ⋂1≤i≤kSf(Vi,δ) is nonempty.
Definition 2.1. For a dynamical system (X,f), f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if there is δ>0 such that for every k≥1 and any nonempty open subset V1,V2,⋯,Vk⊂X, the set ⋂1≤i≤kSf(Vi,δ) has positive upper density (resp. is syndetic).
Here δ>0 will be referred as a constant of sensitivity. Clearly, syndetic sensitivity implies ergodic sensitivity. It is known from the definition of the ergodic sensitivity and Theorem 7 in [6] that ergodic sensitivity implies sensitivity and the converse does not hold. By Theorem 5 and Corollary 3 in [6], one can conclude that both syndetic sensitivity and ergodic sensitivity are weaker than cofinite sensitivity. It is easy to show that,
(i) Cofinite sensitivity ⇒ ergodic (resp. strongly ergodic) multi-sensitivity.
(ii) Ergodic (resp. strongly ergodic) multi-sensitivity implies multi-sensitivity and ergodic sensitivity (resp. syndetic sensitivity).
For a dynamical system (X,f) and subsets U,V⊂X, let
Nf(U,V)={n∈Z+:fn(U)∩V≠∅}. |
One can say that
(1) f is topologically transitive if for every pair of nonempty open sets U,V⊂X, the set Nf(U,V) is nonempty.
(2) f is topologically mixing if for every pair of nonempty open sets U,V⊂X, the set Nf(U,V) is cofinite.
(3) f is topologically ergodic (resp. topologically strongly ergodic or syndetically transitive) if for every pair of nonempty open sets U,V⊂X, the set Nf(U,V) has positive upper density (resp. is syndetic).
(4) f is topologically double ergodic (resp. topologically double strongly ergodic) if for every pair of nonempty open sets U,V⊂X, the map f×f is topologically ergodic (resp. topologically strongly ergodic).
Obviously, topological ergodicity implies topological transitivity, and syndetic transitivity (i.e., topologically strong ergodicity) implies topological ergodicity, and that topologically double ergodicity (resp. topologically double ergodicity) implies topologically weak mixing.
A continuous map f from a compact metric space (X,d) to itself is chaotic in the sense of Devaney if:
(1) f is topologically transitive,
(2) the set of all periodic points of f is dense in X, and,
(3) f has sensitive dependence on initial conditions.
Let (X,d) be a metric space and let f:X→X be a continuous map. Let κ(X) denote the collection of all nonempty compact subsets of X. The Hausdorff metric dH on K(X) is defined by
dH(C,D)=max{ρ(C,D),ρ(D,C)} |
for any C,D∈κ(X), where ρ(C,D)=inf{ε>0:d(y,C)<ε,y∈D}. It is known that for any compact metric space (X,d), the topology on κ(X) induced by dHis same as the Vietoris or finite topology, which is generated by a basis consisting of all sets of the form,
{V1,V2,⋯,Vn}={A∈κ(X):A⊂⋃1≤i≤nVi,A∩Vi≠∅,1≤i≤n}, |
where V1,V2,⋯,Vn are nonempty and open subsets of X. It is known that this topology is admissible in the sense that the map i:X→κ(X) defined as i(x)={x} is continuous, and κ(X) is compact if and only if X is compact. Let F(X) denote the set of all finite subsets of X. Under this topology, F(X) is dense in κ(X) (see [15,16]).
For any continuous selfmap f of X, a continuous map ¯f:κ(X)→→κ(X) is defined by ¯f(K)=f(K) for any K∈κ(X). When a point x∈X is identified as a subset {x} of X, the system (X,f) is a subsystem of the induced system (κ(X),¯f) (see [17,18,19,20,21,22,23]).
Motivated by Theorem 31 in [24], the following result can be proved.
Theorem 3.1. Let (X,d) be a nontrivial compact metric space and (X,f) be a dynamical system. Then, for any given integer m≥2, f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if and only if so is fm.
Proof. Suppose m≥2 and k≥1 are given integers. Then, for any given integer i∈{1,2,⋯,k}, any nonempty open set Vi and for any constant θ>0, {mn:n∈Sfm(Vi,θ)}⊂Sf(Vi,θ), which implies that if fm is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive), then so is f by the related definitions.
Now, suppose that f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) with sensitivity constant δ>0, and that m≥2 and k≥1 are given integers. As f is uniformly continuous, fi is uniformly continuous for each i∈{0,1,⋯,m}. By the definition, there exists a constant ε∈(0,δ) such that d(x,y)≤ε (x,y∈X) implies d(fi(x),fi(y))≤δ for any i∈{0,1,⋯,m}. By the definition, for any k nonempty open sets Vi, 1≤i≤k, the set
⋂1≤i≤kSf(Vi,δ) |
has positive upper density (resp. is syndetic). Let
n∈⋂1≤i≤kSf(Vi,δ) |
and n=lm+r with 0≤r≤m−1 and l∈Z+. Then
l∈⋂1≤i≤kSfm(Vi,ε). |
This implies the set ⋂1≤i≤kSfm(Vi,ε) has positive upper density (resp. is syndetic).
Let (X,d) be a compact metric space and (X,f) be a dynamical system. The inverse limit space lim←(X,f) of the system (X,f) or the map f is the metric space {(x0,x1,x2,⋯):xi=f(xi+1),xi∈X,i=0,1,2,⋯} with the metric ˜d defined by ˜d(˜x,˜y)=∞∑i=012id(xi,yi), where ˜x=(x0,x1,x2,⋯)∈lim←(X,f) and ˜y=(y0,y1,y2,⋯)∈lim←(X,f). Clearly, The inverse limit space lim←(X,f) is a compact subspace of the product space ∞∏i=0Xi where Xi=X for every i∈{0,1,2,⋯}. The shift selfmap σf on the inverse limit space lim←(X,f) is defined as σf(x0,x1,x2,⋯)=(f(x0),x0,x1,⋯) for any (x0,x1,x2,⋯)∈lim←(X,f). Then the inverse limit dynamical system is denoted by (lim←(X,f),σf). The projection map πi:lim←(X,f)→X is defined as πi((x0,x1,x2,⋯))=xi for any (x0,x1,x2,⋯)∈lim←(X,f) and each i∈{0,1,2,⋯}. Obviously, πi is a continuous open map, and f∘πi=πi∘σf for each i∈{0,1,2,⋯}. If f is a surjective map, then πi is an open surjective mapping for each i∈{0,1,2,⋯}. The inverse limit topology induced by ˜d has the following basis:
T={V:V=π−1i(U)for somei≥0and some open subsetU⊂X}. |
Now, one can get the following result.
Theorem 3.2. Let (X,f) be a dynamical system and f be a onto map. Then f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if and only if so is σf.
Proof. Suppose that f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) with sensitivity constant δ>0. For any integer k≥1, let ˜Vi⊂lim←(X,f) be any nonempty open subset for each i=1,2,⋯,k. Since π0 is an open map, π0(˜Vi) is nonempty and open. By the definitions, the set
⋂1≤i≤kSf(Vi,δ) |
has positive upper density (resp. is syndetic), where Vi=π0(˜Vi). For any given n∈⋂1≤i≤kSf(Vi,δ), by the definition there are xi0,yi0∈Vi with d(fn(xi0),fn(yi0))>δ for each i=1,2,⋯,k.
Take
~xi=(xi0,xi1,⋯)∈π−10(xi0)∩˜Viand~yi=(yi0,yi1,⋯)∈π−10(yi0)∩˜Vi |
for each i=1,2,⋯,k. Then, by the definitions we have
˜d(σnf(~xi),σnf(~yi))≥d(fn(xi0),fn(yi0)>δ |
for each i=1,2,⋯,k. This implies that
⋂1≤i≤kSσf(˜Vi,δ)⊃⋂1≤i≤kSf(Vi,δ). |
So, the set
⋂1≤i≤kSσf(˜Vi,δ) |
has positive upper density (resp. is syndetic).
Assume that σf is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) with sensitivity constant δ>0. For any integer k≥1, let Vi⊂X be any nonempty open subset for each i=1,2,⋯,k. As π0 is continuous, ˜Vi=π−10(Vi) is nonempty and open for each i=1,2,⋯,k. Take ~xi∈˜Vi for each i=1,2,⋯,k. Then there is an integer m>8 with B(~xi,δm)⊂˜Vi for each i=1,2,⋯,k, where
B(~xi,δm)={˜y∈lim←(X,f):˜d(˜y,~xi)<δm} |
for each i=1,2,⋯,k.
By the definitions, the set
⋂1≤i≤kSσf(B(~xi,δm),δ) |
has positive upper density (resp. is syndetic). For any given n∈⋂1≤i≤kSσf(B(~xi,δm),δ), there are ~xi′,~yi′∈B(~xi,δm) with ˜d(σnf(~xi′),σnf(~yi′))>δ for each i=1,2,⋯,k. Since σn−1f is uniformly continuous, for the above ~xi, there exists δ′<δ8 such that ~yi′∈B(~xi,δ′) implies ˜d(σn−1f(~yi′),σn−1f(~xi))<δ8 for each i=1,2,⋯,k.
Let ~xi′=(x′i0,x′i1,⋯) and ~yi′=(y′i0,y′i1,⋯) for each i=1,2,⋯,k. Clearly, x′i0,y′i0∈Vi for each i=1,2,⋯,k. Then, by the definition, one has
˜d(σnf(~xi′),σnf(~yi′))=d(fn(x′i0),fn(y′i0)+12˜d(σn−1f(~xi′),σn−1f(~yi′))≤d(fn(x′i0),fn(y′i0)+18δ. |
for each i=1,2,⋯,k. So,
d(fn(x′i0),fn(y′i0)>12δ |
for each i=1,2,⋯,k. This means that
⋂1≤i≤kSσf(˜Vi,δ)⊂⋂1≤i≤kSf(Vi,12δ). |
So, the set ⋂1≤i≤kSf(Vi,12δ) has positive upper density (resp. is syndetic).
Inspired by Lemma 10 in [24], the following result can be obtained.
Theorem 3.3. Let (X,d) be a nontrivial compact metric space, (X,f) be a dynamical system and f be topologically double ergodic (resp. topologically double strongly ergodic), then f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive).
Proof. Write f(k)=f1×f2×⋯×fk for any integer k>0 where fi=f for every i∈{1,2,⋯,k}. By Lemma 2 in [25] and Lemma 2 in [26] or the definitions, f is topologically double ergodic (resp. topologically double strongly ergodic) if and only if so is f(k) for any integer k≥1. Since X is not reduced to a single point, there is δ>0 such that for every x∈X, there is y∈Y satisfying d(x,y)>3δ. Fix any integer k>0 and let Vi⊂X,1≤i≤k, be any bounded and nonempty open sets with diam(Vi)<δ where the diameter diam(Vi) of Vi is defined by diam(Vi)=supx,y∈Vi{d(x,y)}. Then, for each i∈{1,2,⋯,k} there is a nonempty open subset Ui with d(Ui,Vi)>δ. Since f(2k) is topologically double ergodic (resp. topologically double strongly ergodic), by the definitions we get the set
Nf(2k)((V1×V1)×(V2×V2)×⋯×(Vk×Vk),(V1×U1)×(V2×U2)×⋯×(Vk×Uk)) |
has positive upper density (resp. is syndetic). Fix
n∈Nf(2k)((V1×V1)×(V2×V2)×⋯×(Vk×Vk),(V1×U1)×(V2×U2)×⋯×(Vk×Uk)), |
fn(Vi)∩Vi≠∅ and fn(Vi)∩Ui≠∅ for 1≤i≤k. Consequently, there are xi,x′i∈Vi such that fn(xi)∈Vi and fn(x′i)∈Ui for 1≤i≤k. So, we have d(fn(xi),fn(x′i))>δ for 1≤i≤k. This implies that the set
k⋂i=1Sf(Vi,δ)⊃Nf(2k)((V1×V1)×(V2×V2)×⋯×(Vk×Vk),(V1×U1) |
for any integer k≥1. Hence,
k⋂i=1Sf(Vi,δ) |
has positive upper density (resp. is syndetic) for any integer k≥1.
In [13], the authors studied the relations between the various forms of sensitivity of the systems (X,f) and (κ(X),f), and proved that all forms of sensitivity of (κ(X),f) partly imply the same for (X,f), and the converse holds in some cases. In particular, they proved that (X,f) is cofinitely sensitive if and only so is (κ(X),f). In [27] we proved that f is syndetically sensitive or multi-sensitive if and only if so does ¯f. For topologically double ergodic (resp. topologically double strongly ergodic) continuous selfmap f of a compact metric space, the following result is right.
Theorem 3.4. Assume that f:X→X is a topologically double ergodic (resp. topologically double strongly ergodic) continuous map on a nontrivial compact metric space (X,d). Then ¯f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive).
Proof. From Theorem 2 in [26], f is topologically double ergodic (resp. topologically double strongly ergodic) if and only if so is ¯f. By hypothesis and Theorem 3.3, ¯f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive).
Let B(X) denotes the σ−algebra of Borel subsets of a compact metric space X. Let M(X) be the collection of all probability measures defined on the measurable space (X,B(X)). The members of M(X) are called Borel probability measures on X. Each x∈X determines a member δx (i.e., point measure) of M(X) defined by δx(A)=1 if x∈A; δx(A)=0 if x∉A. So, the map x→δx imbeds X inside M(X). For a given dynamical system (X,f), it is well known that the map defined by fM(μ)(B)=μ(f−1(B)) for any μ∈M(X) and any B∈B(X) and the map x→δx from X into M(X) are continuous, and M(X) is a nonempty convex set which is compact in the weak topology (see [28,29]). Clearly, the map x→δx imbeds X inside M(X). It is well known that the convex combinations of point measures (i. e. the measures with finite support) are dense in M(X) (see [28,29]).
Suppose that X is a compact metric space with metric d and M(X) is the space of Borel probability measures on X provided with the Prohorov metric p defined by p(λ,μ)=inf{ε:λ(A)≤μ(Aε)+ε and μ(A)≤λ(Aε)+ε for all Borel sets A∈B(X)} for λ,μ∈M(X), where Aε={xeX:d(x,A)<ε}. As V. Stassen showed in [30], one has p(λ,μ)=inf{ε:λ(A)≤μ(Aε)+ε for all Borel sets A∈B(X)}. The induced topology is just the weak topology [28,29] for measures. It turns M(X) into a compact space [28,31].
Theorem 3.5. Assume that f:X→X is a topologically double ergodic (resp. topologically double strongly ergodic) continuous map on a nontrivial compact metric space (X,d). Then fM is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive).
Proof. From Theorem 3.5 in [32], if f is topologically double ergodic, then so is fM. By the proof of Theorem 3.5 in [32], one can easily prove that if f is topologically double strongly ergodic, then so is fM. By hypothesis and Theorem 3.1, fM is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive).
Remark 3.1. Theorem 3.5 extends and improves Theorem 3.10 in [32].
Theorem 3.6. Assume that f:X→X (resp. g:Y→Y) is a continuous map on a nontrivial compact metric space (X,d) (resp. (Y,d′)). Then f×g is ergodically multi-sensitive if and only if f or g is ergodically multi-sensitive.
Proof. The proof is easily obtained by Theorem 3.1 in [33] and Theorem 10 in [34] and is omitted.
Remark 3.2. It is not known whether the following conclusion holds: f×g is strongly ergodically multi-sensitive if and only if f or g is strongly ergodically multi-sensitive.
Theorem 3.7. Assume that f:X→X is a continuous map on a nontrivial compact metric space (X,d) (resp. (Y,d′)). Then f is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if and only if so is ¯f.
Proof. By the definition and the proofs of Theorems 3.2 and 3.3 in [27], the proof is easily obtained and is omitted.
Assume that f:X→X (resp. g:Y→Y) is a map on a nontrivial metric space (X,d) (resp. (Y,d′)). If there exists a continuous and surjective map π:X→Y such that π∘f=g∘π, then (Y,g) is said to be a factor of the system (X,f), and (X,f) is said to be a extension of (Y,g), while π is said to be a factor map between (X,f) and (Y,g).
Theorem 3.8. Assume that f:X→X (resp. g:Y→Y) is a map on a nontrivial metric space (X,d) (resp. (Y,d′)), and let π be a semiopen factor map between (X,f) and (Y,g). If g is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) then so is f.
Proof. The proof is similar to that of Proposition 9 in [24] and is omitted.
Let I be the compact interval [0, 1] and f be defined by
f(x)={2x+12forx∈[0,14]−2x−32forx∈[14,34]2x−32forx∈[34,1] |
For arbitrarily x1,x2∈[0,14], x1<x2, one has
∣f(x1)−f(x2)∣=∣2x1+12−(−2x2+32)∣=2∣x1−x2∣>∣x1−x2∣. |
For x1∈[0,14],x2∈[14,34], one has
∣f(x1)−f(x2)∣=∣2x1+12−(−2x2+32)∣=2∣x2+x1−12∣>∣x2+x1−12∣. |
For x1,x2∈[14,34], one has
∣f(x1)−f(x2)∣=∣−2x1+32−(−2x2+32)∣=2∣x2−x1∣>∣x2−x1∣. |
For x1∈[14,34],x2∈[34,1], one has
∣f(x1)−f(x2)∣=∣−2x1+32−(−2x2−32)∣=2∣−x2−x1+32∣>∣−x2−x1+32∣. |
And for x1,x2∈[34,1], one has
∣f(x1)−f(x2)∣=∣2x1−32−(2x2−32)∣=2∣x1−x2∣>∣x1−x2∣. |
If x1∈[0,14],x2∈[34,1], one has
∣f(x1)−f(x2)∣=∣2x1+12−2x2+32∣=2∣x1−x2+1∣>∣x1−x2+1∣. |
Then, for any x1,x2∈[0,1], let δ1=∣x1−x2∣,δ2=∣x2+x1−12∣,δ3=∣−x2−x1+32∣ and δ4=∣x1−x2+1∣. Taking δ=min{δ1,δ2,δ3,δ4}. For any n∈N, one has ∣fn(x1)−fn(x2)∣≥δ. So, for every nonempty open subset V⊂X, the set Sf(V,δ)={n∈Z+: There exist x,y∈V with d(fn(x),fn(y))>δ} has positive upper density. Thus, f is ergodically sensitive. Similarly, it can be proved that for every nonempty open subsets V1,V2,⋯,Vk⊂X, the set ⋂1≤i≤kSf(Vi,δ) is nonempty. So, f is multi-sensitive.
Two kinds of sensitivities associated with ergodic (i.e. ergodic multi-sensitivity and strongly ergodically multi-sensitivity) are preserved in the composite case and in inverse limit system. Moreover, for two systems (X,d) and (Y,d′), under the condition of that there is a semiopen factor map between them, the above sensitivities of X and Y are consistent.
This work was supported by the Opening Project of Artificial Intelligence Key Laboratory of Sichuan Province (2018RZJ03), the Opening Project of Bridge Non-destruction Detecting and Engineering Computing Key Laboratory of Sichuan Province (2018QZJ03), the Opening Project of Key Laboratory of Higher Education of Sichuan Province for Enterprise Informationalization and Internet of Things (No. 2020WZJ01), Ministry of Education Science and Technology Development center (No. 2020QT13) and Scientific Research Project of Sichuan University of Science and Engineering (No. 2020RC24).
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
[1] |
J. Banks, J. Brooks, G. Cairns, G. Davis, P. Stacey, On Devaney's definition of chaos, Am. Math. Mon., 99 (1992), 332–334. doi: 10.1080/00029890.1992.11995856
![]() |
[2] |
E. Glasner, B. Weiss, Sensitive dependence on initial conditions, Nonlinearity, 6 (1993), 1067–1075. doi: 10.1088/0951-7715/6/6/014
![]() |
[3] |
C. Abraham, G. Biau, B. Cadre, Chaotic properties of mapping on a probbility space, J. Math. Anal. Appl., 266 (2002), 420–431. doi: 10.1006/jmaa.2001.7754
![]() |
[4] |
L. He, X. Yan, L. Wang, Weak-mixing implies sensitive dependence, J. Math. Anal. Appl., 299 (2004), 300–304. doi: 10.1016/j.jmaa.2004.06.066
![]() |
[5] |
R. Li, T. Lu, A. Waseem, Sensitivity and transitivity of systems satisfying the large deviations theorem in a sequence, Int. J. Bifurcation Chaos., 29 (2019), 1950125. doi: 10.1142/S0218127419501256
![]() |
[6] |
T. K. S. Moothathu, Stronger forms of sensitivity for dynamical systems, Nonlinearity, 20 (2007), 2115–2126. doi: 10.1088/0951-7715/20/9/006
![]() |
[7] |
W. Huang, J. Li, X. Ye, X. Zhou, Positive topological entropy and △-weakly mixing sets, Adv. Math., 306 (2017), 653–683. doi: 10.1016/j.aim.2016.10.029
![]() |
[8] |
X. Wu, S. D. Liang, X. Ma, T. X. Lu, The mean sensitivity and mean equicontinuity in uniform spaces, Int. J. Bifurcation Chaos., 30 (2020), 2050122. doi: 10.1142/S0218127420501229
![]() |
[9] |
H. Liu, E. Shi, G. Liao, Sensitivity of set-valuted discrete systems, Nonlinear Anal.: Theory Methods Appl., 71 (2009), 6122–6125. doi: 10.1016/j.na.2009.06.003
![]() |
[10] | S. A. Eisa, P. Stechlinski, Sensitivity analysis of nonsmooth power control systems with an example of wind turbines, Commun. Nonlinear Sci. Numer. Simul., 95 (2020), 105633. |
[11] | G. Sakai, N. Matsunaga, K. Shimanoe, N. Yamazoe. Theory of gas-diffusion controlled sensitivity for thin film semiconductor gas sensor, Sensor. Actuat. B: Chem., 80 (2001), 125–131. |
[12] | M. A. Midoun, X. Wang, M. Z. Talhaoui, A sensitive dynamic mutual encryption system based on a new 1D chaotic map, Opt. Lasers Eng., 139 (2020), 106485. |
[13] |
C. Caginalp, A dynamical systems approach to cryptocurrency stability, AIMS Math., 4 (2019), 1065–1077. doi: 10.3934/math.2019.4.1065
![]() |
[14] | B. Chaboki, A. Shakiba, An image encryption algorithm with a novel chaotic coupled mapped lattice and chaotic image scrambling technique, J. Electr. Eng. Comput. Sci., 21 (2021), 1103–1124. |
[15] | G. Beer, Topologies on closed and closed convex sets, Kluwer Academic Publishers, 1993. |
[16] |
E. Michael, Topologies on spaces of subsets, Trans. Am. Math. Soc., 71 (1951), 152–182. doi: 10.1090/S0002-9947-1951-0042109-4
![]() |
[17] |
J. Banks, Chaos for induced hyperspace maps, Chaos, Solitons Fractals, 25 (2005), 681–685. doi: 10.1016/j.chaos.2004.11.089
![]() |
[18] |
R. Gu, Kato's chaos in set valued discrete systems, Chaos, Solitons Fractals, 31 (2007), 765–771. doi: 10.1016/j.chaos.2005.10.041
![]() |
[19] |
Z. Yin, Y. Chen, Q. Xiang, Dynamics of operator-weighted shifts, Int. J. Bifurcation Chaos, 29 (2019), 1950110. doi: 10.1142/S0218127419501104
![]() |
[20] |
H. Wang, F. C. Lei, L. D. Wang, DC3 and Li-Yorke chaos, Appl. Math. Lett., 31 (2014), 29–33. doi: 10.1016/j.aml.2014.01.004
![]() |
[21] |
R. Hunter, B. E. Raines, Omega chaos and the specification property, J. Math. Anal. Appl., 448 (2017), 908–913. doi: 10.1016/j.jmaa.2016.11.037
![]() |
[22] |
D. Kwietniak, P. Oprocha, Topological entropy and chaos for maps induced on hyperspaces, Chaos, Solitons Fractals, 33 (2007), 76–86. doi: 10.1016/j.chaos.2005.12.033
![]() |
[23] |
Y. Wang, G. Wei, W. H. Campbell, Sensitive dependence on initial conditions between dynamical systems and their induced hyperspace dynamical systems, Topol. Appl., 156 (2009), 803–811. doi: 10.1016/j.topol.2008.10.014
![]() |
[24] | R. Li, Y. Shi, Stronger forms of sensitivity for measure-preserving maps and semiflows on probability spaces, Abstr. Appl. Anal., (2014), 769523. |
[25] | R. Yang, Topological ergodicity and topological double ergodicity, Acta Math. Sin., 46 (2003), 555–560. |
[26] | R. S. Li, Topological ergodicity, transitivity and chaos of the set-valued maps, J. Nanjing Univ. Math. Biquarterly, 25 (2008), 114–121. |
[27] |
R. S. Li, A note on stronger forms of sensitivity for dynamical systems, Chaos, Solitons Fractals, 45 (2012), 753–758. doi: 10.1016/j.chaos.2012.02.003
![]() |
[28] | P. Walter, An introduction to ergodic theory, New York: Spring-Verlag, 1982. |
[29] |
W. Bauer, K. Sigmund, Topological dynamics of transformations induced on the space of probability measures, Monatsh. Math., 79 (1975), 81–92. doi: 10.1007/BF01585664
![]() |
[30] |
V. Strassen, The existence of probability measures with given marginals, Ann. Math. Stat., 36 (1965), 423–439. doi: 10.1214/aoms/1177700153
![]() |
[31] | K. R. Parthasarathy, Probability measures on metric spaces, AMS Chelsea Publishing, 1967. |
[32] |
R. Li, A note on shadowing with chain transitivity, Commun. Nonlinear Sci. Numer. Simul., 17 (2012), 2815–2823. doi: 10.1016/j.cnsns.2011.11.015
![]() |
[33] |
X. Wu, R. Li, Y. Zhang, The multi-F-sensitivity and (F1,F2)-sensitivity for product systems, J. Nonlinear Sci. Appl., 9 (2016), 4364–4370. doi: 10.22436/jnsa.009.06.76
![]() |
[34] |
X. Wu, J. Wang, G. Chen, F-sensitivity and multi-sensitivity of hyperspatial dynamical systems, J. Math. Anal. Appl., 429 (2015), 16–26. doi: 10.1016/j.jmaa.2015.04.009
![]() |