1. Introduction and Preliminaries
Let
and
be continuous, where
and
are closed intervals, and let
be given by
, where
. They have been studied to present a dynamical analysis of the systems which are induced by cournot duopoly games (see [
1]). People think that probably the first chaotic concept in a mathematically rigorous way was presented by Li and Yorke [
2]. Since then, people gave many different rigorous concepts of chaos. Each of them tries to depict some kind of unpredictability of a system in the future. Akin and Kolyada presented Li–Yorke sensitivity for the first time [
3]. Moreover, they presented the notion of spatio-temporal chaos. Schweizer and Smítal defined the concept of distributional chaos [
4]. It is well known that the property of distributional chaos is equivalent to the property having positive topological entropy and some other chaotic concepts for some spaces (see [
4,
5]) and that this kind of equivalence relationship does not hold for the spaces of higher dimensions [
6] and zero dimension [
7]. In [
8], Wang et al. gave the concept of distributional chaos in a sequence and obtained that this kind of chaotic property is equivalent to Li–Yorke chaotic property for continuous maps over a closed interval. In the past few decades, people always paid very close attention to the study of the dynamic behavior of Cournot maps (see [
1,
9,
10,
11,
12,
13]). From [
1,
12], there are Markov perfect equilibria processes. Concretely speaking, two fixed players move alternatively such that each of them chooses the best reply to the previous action of another player. Let
,
and
. Obviously,
.
is called an MPE-set for
D (see [
9]). At the same time, in [
9], Canovas considered a few definitions of chaos for Cournot maps and proved that for each chaotic notion they discussed in [
9],
D and
do not satisfy the same one of them. We know that chaos in Cournot maps has been discussed (see [
1,
12,
13,
14,
15,
16,
17]). In [
13], Lu and Zhu further explored chaos in Cournot maps. Particularly, they showed that for
,
and
, they have the same some chaotic properties. Inspired by [
9,
13], in [
18], we further studied the chaotic properties of the above Cournot maps. Particularly, we showed that for a continuous map defined by
over the space
, the following statements hold.
- (1)
If D satisfies Kato’s concept of chaos, then at least or does.
- (2)
Suppose that
and
have Kato’s chaotic property and that the maps
t and
s satisfy that for any
, if
and
for some
(
is the set of positive integers), then there is an
with
and
Then,
D has Kato’s chaotic property. In [
19], we explored the spatio-temporal chaotic property of a Cournot map
on the space
. Particularly, it is established that if both
s and
t are onto maps, then the followings are equivalent: (1)
D has the spatio-temporally chaotic property; (2)
has the spatio-temporally chaotic property; (3)
has the spatio-temporally chaotic property; and (4)
has the spatio-temporally chaotic property. At the same time, it is showed that if
s and
t are onto maps, then
has spatio-temporally chaotic property if and only if
is as well. In [
20], by using the Furstenberg family couple, we studied the
-chaos and the strong
-chaos of a Cournot map
on the product space
. In particular, we showed that the following statements hold:
- (1)
D having the -chaotic property (resp. strong -chaotic property) is equivalent to having the -chaotic property (resp. strong -chaotic property) and also equivalent to having the -chaotic property (resp. strong -chaotic property).
- (2)
D having the -chaotic property (resp. strong -chaotic property) is equivalent to having the -chaotic property (resp. strong -chaotic property).
- (3)
is -chaotic (resp. strong -chaotic) if and only if is as well.
Inspired by [
18,
19,
20] and utilizing the methods in them, we will investigate cofinite sensitivity, shadowing property,
P-chaos, and chain mixing in duopoly games in this paper. Let a system
over a product space
, where
,
,
,
, and
G and
H are closed intervals in
. Particularly, it is shown that for any Cournot map
over the space
, the following hold:
- (1)
D being cofinitely sensitive is equivalent to or being sensitive.
- (2)
D possessing an SP is equivalent to and having the SP.
- (3)
possesses an SP if and only if does as well.
- (4)
D is P-chaotic if and only if the maps and are P-chaotic.
Moreover, the above results can be extended to the three-dimensional case. For chain mixing, we proved the following:
- (5)
If D is chain mixing, then both and are chain mixing.
- (6)
If and are chain mixing, then D is chain transitive.
Meanwhile, inspired by [
9,
13,
18,
20,
21], we propose several open questions worth exploring.
Let
be a metric space. A dynamic system
or a map
is called sensitive (see [
22,
23,
24]) if one can find an
satisfying that for every nonempty open set
, one can find two different points
satisfying
for some integer
, where
is said to be a sensitivity constant of
t.
t is cofinitely sensitive (see [
25,
26]) if there is a
such that for any nonempty set
,
is finite, where
Let
be a continuous map of a compact metric space
. A sequence
is called a
pseudo-orbit for
t (see [
17,
25]) if
for any integer
. By [
21,
27], for any given
, a given sequence
is called to be
-traced by
if
for any integer
. A map
is said to possess the POSP if for each
, one can find
satisfying that every
pseudo-orbit for
t can be
-traced by some point in
G.
A dynamic system
or a map
having the pseudo-orbit shadowing property (POSP) is said to be
P-chaotic if the set
of all periodic points of
t is dense in
G (see [
22]).
The following lemma is needed and is from [
13].
Lemma 1 (Theorem 3.1 [
13])
. Assume that and are two compact subintervals and is continuous for any . Then, is -chaotic is equivalent to that so is g, where is -chaotic, where -chaoticity is one of the following chaotic properties: Li–Yorke sensitivity, Li–Yorke chaos, distributional chaos, distributional chaos in a sequence. 2. Cofinite Sensitivity
In [
13], the authors show that for any Cournot map
D,
D has the Li–Yorke sensitive property that is equivalent to that one of the following holding.
- (1)
has the Li–Yorke sensitive property.
- (2)
has the Li–Yorke sensitive property.
Inspired by the above result, we obtain the following results.
Theorem 1. Assume that the metric d over the space is defined asand the product map of and is defined asfor any and any where and are compact subintervals, and let be a Cournot map. Then, D being cofinitely sensitive is equivalent to one of the following conditions being satisfied. - (1)
is sensitive.
- (2)
is sensitive.
Proof. Let
D be cofinitely sensitive. By Theorem 31 in [
25],
is cofinitely sensitive, which implies that
is sensitive. Since
According to Theorem 3.1 of [
13], one can see that
or
is sensitive. Using Theorem 2 in [
21],
or
is cofinitely sensitive. Without any loss of generality, it is assumed that
is cofinitely sensitive. According to the definition, one can find a constant
of
with
satisfying that for every
and any
, one can find an
with
and
for any integer
some integer
. Since
s is uniformly continuous, one can find an
with
for any
with
Clearly,
Hence,
for any integer
. This shows that
is cofinitely sensitive.
Now, we suppose that
is cofinitely sensitive having a sensitivity constant
. According to the uniform continuity of
s, for the above
and any
with
, one can find some
with
such that
implies
Consequently, for any
with
and
if
for any integer
and some integer
, then
This means that
is cofinitely sensitive. Since
by Lemma 3.3 from [
25],
is cofinitely sensitive. According to Theorem 31 of [
25],
D is cofinitely sensitive. □
Remark 1. In Theorem 1, we improve the result of Theorem 2.2 in [18]. Due to the fact that composite mappings satisfy the law of union, when one of the mappings in
is an identity mapping,
becomes
,
, or
, which is the case in two dimensions. Therefore, it is natural to consider whether the previous results in
Section 3 can be extended to three dimensions. Moreover, the n-dimensional situation is similar.
Let
be compact subintervals of
, and let
,
,
be continuous maps. Define
, where
. And
One can obtain that
then, we have conclusions similar to Theorem 1.
Theorem 2. being cofinitely sensitive is equivalent to one of the following conditions being satisfied.
- (1)
is sensitive;
- (2)
is sensitive;
- (3)
is sensitive.
Proof. Let
be cofinitely sensitive. According to Theorem 31 in [
25],
is cofinitely sensitive. Then,
is sensitive. Since
, by Theorem 3.1 in [
13],
,
, or
is sensitive. So, by Theorem 2 in [
21],
,
, or
is cofinitely sensitive.
Without loss of generality, let
be cofinitely sensitive. Then, one can find a constant
, where for every
and any
, there exists a
such that
for any integer
and some integer
. Since
t and
are uniformly continuous, then one can find two points
such that
where
and
. So,
Hence,
for any integer
. This implies that
is cofinitely sensitive.
Now, let
be cofinitely sensitive, and the sensitive constant is
. Since
t and
are uniformly continuous, if the sensitive constant is
and any
, one can find a
such that
implies
and
So, for any
, if
for some
and any integer
, then
This implies that is cofinitely sensitive.
Since
, by Lemma 3.3 in [
25],
is cofinitely sensitive. Then, by Theorem 31 in [
25],
is cofinitely sensitive. □
3. Shadowing Property (SP) and P-Chaoticity
Theorem 3. Assume that is a Cournot map. Then, D has an SP that is equivalent to the following being true:
- (1)
possesses the SP.
- (2)
possesses the SP.
Proof. It is known that
has an SP that is equivalent to both
p and
q possessing the SP, and that
has an SP equivalent to
p possessing the SP. By
we complete the proof of this theorem. □
Theorem 4. Assume that is a Cournot map. Then, D having dense periodic points is equivalent to both and possessing dense periodic points.
Proof. Let
be the set of all periodic points of a map
g over a space
X. Clearly,
and
where
f is a map of a space
Y. By
we complete the proof of this theorem. □
Theorem 5. Assume that is a Cournot map. If both and possess dense periodic points, then D possesses dense periodic points.
Proof. Clearly, . Then, both and possessing dense periodic points’ implies that possess dense periodic points. By , D possess dense periodic points. □
Question 1. Assume that has dense periodic points. Does possess dense periodic points?
Theorem 6. Assume that is a Cournot map. Then, possessing an SP is equivalent to possessing it as well.
Proof. Assume that
possesses the SP. Let
. Since
t is uniformly continuous, for the above
, one can find an
with
satisfying the following: if
and
, then
As
possesses the SP, by the definition, there is a
with
such that any
pseudo-orbit for
is
-traced by some point of
H. Since
s is uniformly continuous, for the above
, there is a
with
satisfying if
and
then
Let
be a
pseudo-orbit for
. Then,
is a
pseudo-orbit for
. By the definition, there is a
satisfying that
for any
. So,
for any
. Consequently,
for any
. By the definition,
has the SP. Similarly, it is easy to deduce that if
possesses the SP, then so does
. □
Question 2. Let be defined as above.
- (1)
If and both have the SP, does D also have the SP or vice versa?
- (2)
If has the SP, does also have the SP or vice versa?
Question 3. Let be defined as above.
- (1)
If and both are P-chaotic, is D also P-chaotic or vice versa?
- (2)
If is P-chaotic, is also P-chaotic or vice versa?
Theorem 7. Let be a Cournot map. Then, D having the P-chaotic property is equivalent to the maps and having the corresponding property.
Proof. According to the definition and Theorems 3 and 4, Theorem 7 is true. □
Theorem 8. having the SP is equivalent to the following being true.
- (1)
possesses the SP;
- (2)
possesses the SP;
- (3)
possesses the SP.
Proof. It is easy to obtain that possessing the SP is equivalent to , , and all possessing the SP. Since , then conclusions are established. □
Theorem 9. having dense periodic points is equivalent to , , and all possessing dense periodic points.
Proof. It is easy to obtain that , where denotes the set of periods of a mapping. Then, if has dense periodic points, then also has this property. And because , then , , and all possess dense periodic points. □
Theorem 10. possessing the SP is equivalent to possessing the SP as well as possessing the SP.
Proof. Since , , and by Theorem 6, possessing the SP is equivalent to possessing the SP. So, possessing the SP is equivalent to possessing the SP.
Similarly, since , , and by Theorem 6, possessing the SP is equivalent to possessing the SP. So, possessing the SP is equivalent to possessing the SP.
This complete the proof. □
Theorem 11. having the P-chaotic property is equivalent to the maps , and having the corresponding property.
Proof. According to the definition of P-chaos and Theorems 8 and 9, Theorem 11 is true. □
Example 1. Let , and for any ; then, Theorems 1–11 hold.
4. Chain Mixing
Let be a dynamical system on a metric space . For , an -chain from x to y of length m is a finite sequence such that for . The system or the map s is said to be chain transitive if for any and any two points , there is an -chain from x to y. The system or the map s is said to be -chain mixing if there is some such that for any and any integer , there is an -chain from x to y such that its length is m. The system or the map s is said to be chain mixing if it is -chain mixing for any .
Theorem 12. Assume that t and s are surjective. Then, is chain mixing if and only if is as well.
Proof. Assume that
is chain mixing. Let
. Since
t is uniformly continuous, for the above
, there is
with
such that if
and
, then
As
is chain mixing, by the definition, there is an integer
such that for any integer
and any
, one has an
-chain of length
n from
a to
b; that is,
satisfy that
, and
for any
This implies that
such that
, and
for any
Since t is surjective, by the definition and the above argument, is chain mixing. By a similar argument, one can deduce that if is chain mixing, then so is . □
Theorem 13. Assume that is a Cournot map, t and s are surjective. Then, the following two statements are true:
- (1)
If D is chain mixing, then both and are chain mixing.
- (2)
If and are chain mixing, then D is chain transitive.
Proof. Assume that
D is chain mixing. By Corollary 12 in [
28],
is chain mixing. By
, the chain mixing of
and the definition,
and
is chain mixing. Suppose that
is chain mixing. By the hypothesis and Theorem 3.8,
is chain mixing. By the definition, one can easily verify that
are chain mixing. Let
. As
s is uniformly continuous, for the above
, there is
with
such that if
and
, then
As
is chain mixing, by the definition, for the above
, there is an integer
such that for any integer
and any
, there is an
-chain of length
n from
a to
b; that is, there are
which satisfy that
, and
for any
By the hypothesis,
such that
, and
for any
Then, we have
for every integer
. As
s is surjective, by the hypothesis and the above argument,
is chain mixing. Similarly, one can show that if
is chain mixing, then so is
.
Now, assume that
is chain mixing for every
, and let
. By the definition, there is an integer
such that for any integer
and any
(resp.
), there is an
-chain of length
n from
to
(resp. from
to
); that is, there are
(resp.
) which satisfy that
,
and
(resp.
,
and
) for any
. Then, an
-chain
of length
from
to
is obtained. By the hypothesis and the definition,
D is chain transitive. □
Question 4. We do not know if the following are true:
- (1)
If D is chain transitive, is chain transitive for every ?
- (2)
If D is chain mixing, is chain mixing for every ?