Abstract
In this article, we mainly study the qualitative properties of solutions for dual fractional-order parabolic equations with nonlocal Monge-Ampère operators in different domains
We first establish a series of maximum principles and averaging effects theorems for antisymmetric functions and then used the method of moving planes and sliding planes to establish radial symmetry, monotonicity, nonexistence, and Liouville theorem for positive solutions.
1 Introduction
In this article, we mainly study the qualitative properties of positive solutions to dual fractional parabolic equations related to operator
and
and
where
and
where
with
and
The nonlocal Monge-Ampère operator
where
In 1927, Marchaud [2] first proposed the one-sided nonlocal Marchaud fractional time derivative
The extension method introduced by Caffarelli and Silvestre [6] is used to handle the nonlocality of fractional Laplacian. However, Chen et al. [7] introduced a simpler approach, the method of directly moving the plane to investigate the monotonicity and symmetry of positive solutions to various elliptic equations and systems (see [8–10] and the references therein). Wu and Chen developed a direct sliding method to handle the monotonicity and uniqueness of solutions involving local and nonlocal operators [11]. For the qualitative properties of solutions to fractional-order elliptic equations with operator
Guo et al. [16] obtained a Liouville theorem and radial symmetry for the dual fractional parabolic equations:
and
Chen and Ma [17] proposed a new idea to prove the monotonicity of positive solutions to the following problem:
Wu and Chen [18] obtained radially symmetry and monotonicity of the classical solutions to the following fractional parabolic equation:
Chen and Guo [19] adopted a new idea to prove the nonexistence of solutions for the following master equations in
where
Du and Wang [20] proved the monotonicity of solutions for parabolic equations involving nonlocal Monge-Ampère operator
Inspired by the aforementioned work, we attempt to study the qualitative properties of solutions to fractional-order parabolic equations with operator
Let
and the reflection of
Theorem 1.1
Let
be a positive bounded solution of (1.1). Assume that
Theorem 1.2
Let
Theorem 1.3
Assume that
be a positive solution of (1.3) and satisfying
If
Theorem 1.4
Assume that
be a positive bounded solution of (1.4) satisfying
If
2 Various maximum principles
Theorem 2.1
(Narrow region principle) Let
If
Furthermore, if there exists a point
Proof
Because
By (2.3), we know that there are a minimizing sequence
Since
with
where
satisfies
According to (2.4), (2.5), and (2.8), we have
Hence, we know that there is a point
It follows from (2.5), (2.10), and Lemma A.3 that
and
Since det
where
and
Due to (2.11) and
From this, we have
For sufficiently small
Furthermore, suppose there exists a point
Thus, we have
and
where
Therefore, we obtain
i.e.,
On the basis of (2.21), since
that is,
Theorem 2.2
Assume that
is bounded from below in
Then
Remark 2.3
Assume that
is bounded from above in
Then
Proof
The proof method is the same as shown in Theorem 2.2.□
Theorem 2.4
(Maximum principle near infinity) Let
is lower semi-continuous with respect to y on
Suppose that there is
Furthermore, if there exists a point
Proof
The proof process is roughly the same as that of Theorem 2.1, and we will point out the differences below.
Since
Therefore, there exists a sequence
We further consider the following auxiliary functions
to remedy scenario that the infimum of
By (2.27), (2.28), and (2.29), we have
It follows from (2.31) that there exists a point
According to (2.29), (2.32), and Lemma A.2, we obtain
and
Similar to the proof process of (2.13), we have
Since
that is,
Theorem 2.5
Let
and
If
Proof
Let
where
Since
The proof process is roughly the same as that of Theorem 2.4, and we will point out the differences below. If (2.39) is incorrect, then there is
Therefore, there exists a sequence
We consider the following auxiliary functions:
where
Similar to Theorem 2.2, there exists a point
By a result Lemma A.4, we have
Since det
where
Due to
that is,
Theorem 2.6
Set
is lower semi-continuous with respect to y on
and
where
Theorem 2.7
(Averaging effects) Let
Assume that
is lower semi-continuous in x on
for some sufficiently small
Proof
Let
where
We consider the following auxiliary functions:
where
Fix
For
where
and we use the fact established in Lemma A.2 that there exists
By taking
In addition, from (2.51), we have
and
We claim that
Otherwise, if not, there is a point
Hence, for any sequences
and
Therefore,
which contradicts (2.59). So, we have
Theorem 2.8
Let
Suppose that
where
Proof
We first prove that
If (2.71) does not hold, then there exists a point
Therefore,
which contradicts (2.69) for sufficiently small
Based on (2.71), if there is a point
Similar to the proof of the strong maximum principle in Theorem 2.1, we obtain that
which contradicts (2.68). Hence, we have
which means that there exists a positive constant
3 Proof of Theorem 1.1
From (1.1), we have
where
is bounded in
Step 1. We want to show that
when
Step 2. Denote
Our main purpose is to prove that
which implies that there is a sequence
To solve the situation where the infimum value of
where
Therefore, there exists a point
which implies that
Similar to the proof steps of Theorem 2.4, we derive that
where
that is,
According to (3.2), (3.13), and
which means that there exist a subsequence of
for sufficiently large
This contradicts the assumption
Next, we consider the following functions:
From this, we have
It follows from Arzelà-Ascoli theorem that there exist two continuous function
From this, we can conclude that
by
Thus for sequences
Therefore, by
Furthermore, we define
Similarly to (3.19) and (3.20), we also have
and
By (3.15) and
Now we want to prove that
If (3.28) is incorrect, by
By combining (3.26) and
that is,
which contradicts (3.27), so (3.28) holds.
It follows from
which contradicts (3.23), so
Step 3. For any
If (3.33) does not hold, there exists some
By using Theorem 2.1, we obtain
which contradicts
4 Proof of Theorem 1.2
From (1.2), we have
By applying Theorem 2.2, we derive that
Since
From the aforementioned conclusion and Lemma A.1, it can be inferred that
5 Proof of Theorem 1.3
Let
where
due to
Step 1. We show that
for sufficiently small
Step 2. Denote
Our main purpose is to prove that
From this, we can know that
is nonempty and
Set
We consider the following two cases:
Cases 1. If
for sufficiently large
Cases 2. If
When
similar to the previous discussion on case 1, we obtain a contradiction with (5.7). However, when
then there are a sequence
From (5.2), (5.13) and
which means that there exist a subsequence of
Otherwise, if
This contradicts the assumption
According to
where
To apply Theorems 2.7 and 2.8, we need to prove that
with
where
satisfies
Similar to the proof process of Theorem 1.1, there is a point
and
which means
This contradiction show that
Let
Next, we want to prove that there exists
If (5.27) is incorrect, we have
Since
which means that
By (1.3), (5.26), Theorem 2.7 and the continuity of
which contradicts (5.28), so (5.27) holds.
Let
due to
For any point
Next, we mainly want to demonstrate that there exists
If (5.34) does not hold, we obtain
Considering the following equation and the definition of
Then, for any
due to (5.35) and
According to
which contradicts (5.35), so (5.34) is valid. From (5.34) and
for sufficiently large
Step 3. Next, we will demonstrate that
Assuming (5.40) is incorrect, there is a fixed
Therefore, we have
This contradiction indicates that (5.40) is valid.
6 Proof of Theorem 1.4
From (1.4), we have
where
Step 1. We demonstrate that
for
Firstly, we need to prove that
for
According to the assumptions
Since
we have
Furthermore, if there is a point
Fixed
for
Assuming (6.2) is invalid, there exists a point
Due to
with
and
where
Denote
It follows from (6.9) and (6.10) that
Hence there is a point
which means that
and
By the definition of
where
By using the same method, we have
By (6.15) and (6.16), we obtain
Furthermore, from (6.14), we can deduce that for any sequences
where
Therefore,
Next, we need to prove that
where
For
By Theorem 2.2, hence (6.21) holds. When
which contradicts (6.8), so (6.2) is valid.
Step 2. Let
Since
In this step, we want to prove that there is
According to the definition of
On one hand, there is a subsequence of
From this, we know that there exists a positive sequence
This means that there exists
Since
where
and thus,
Therefore, (6.24) holds.
On the other hand, if along another subsequence,
which means that
which contradicts the definition of
for
Similar to the proof of (6.24), we know that there is a sequence
If
Step 3. Our main purpose is to prove that
Let
For each fixed
where
On the one hand, if
which contradicts (6.33).
On the other hand, if
which contradicts (6.33), so
7 Proof of Theorem 1.5
By (1.5), we have
where
Step 1. We want to prove that
From (7.1), we obtain for
where
Step 2. In this step, as long as equation (7.2) is valid, we will continue to move the plane
We shall prove that
If
From this, we know that there is a subsequence of
Now we use a perturbation technique as follows:
with
where
satisfies
From (7.5), (7.6), (7.7), and (7.8), we derive that
Therefore, we know that there exists a point
which implies that
and
Thus, by similar to the calculation process of (2.16), we obtain
where
We claim that
This contradiction implies that
We claim that, for sufficiently large
Otherwise, if not, then
which contradicts
According to (7.1), (7.11), and (7.14), we derive that
This contradiction means that
Step 3. We will prove that
If (7.16) does not hold, then there is a point
Similar to the argument of (2.23), we can deduce that
For any
This contradiction means that (7.16) must be true.
Step 4. We will prove the nonexistence of solutions to (1.5).
Suppose that there is a positive bounded solution
For any
where
Let
where
For all
where
In addition, we have
Now we claim that
If (7.24) is wrong, then there is a point
Consequently, we derive
which contradicts (7.22). Hence, we know that (7.24) holds.
By (7.24), we obtain
From this, we have
This contradiction shows that equation (1.5) has no positive bounded solutions.
Acknowledgments
The authors would like to express their sincere gratitude to the anonymous reviewers and editors for their valuable comments and suggestions, which significantly improved the original manuscript.
-
Funding information: This work is supported by the Laboratory of Engineering Modeling and Statistical Computation of Hainan Province.
-
Author contributions: Both authors contributed equally and significantly to this manuscript.
-
Conflict of interest: The authors state no conflict of interest.
-
Data availability statement: No data were used in this study.
Appendix
Lemma A.1
(Theorem 1.4, [16]) Let
Then it must be constant.
Lemma A.2
(Lemma 5.1, [17]) (
Lemma A.3
(Corollary 5.2, [17])
then
Lemma A.4
(Lemma 2.1, [21]) Let
where
Then there is
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© 2025 the author(s), published by De Gruyter
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