On topological solutions to a generalized Chern-Simons equation on lattice graphs
Abstract
For , consider as a lattice graph. We explore a generalized Chern-Simons equation on . Employing the method of exhaustion, we prove that there exists a global solution that also qualifies as a topological solution. Our results extend those of Hua et al. [arXiv:2310.13905] and complement the findings of Chao and Hou [J. Math. Anal. Appl. (1), 126787(2023)], as well as those of Hou and Qiao [J. Math. Phys. (8), 081503(2024)].
keywords:
Chern-Simons equation , lattice graph , topological solution, maximal solutionMSC:
[2020] 35A01 35A16 35J91 35R021 Introduction
The Chern-Simons theory was originally formulated by Shiing-Shen Chern and James Simons in 1974. This theory was initially developed within the field of mathematics to study the geometric structures on three-dimensional manifolds. Later, it found broad applications in physics, particularly in quantum physics and condensed matter physics. The theory quickly gained significance in understanding topological phase transitions, especially in the context of quantum Hall effects, topological insulators, and high-temperature superconductors [44, 43, 7].
Substantial studies have been undertaken on the dynamic models of the Chern-Simons type in the field theory, referenced in works like [34, 40, 33] among others. From a mathematical perspective, the dynamical equations for different Chern-Simons frameworks pose significant analytical challenges, even in scenarios involving radial symmetry and static conditions [31]. In the Abelian Chern-Simons model, the self-dual structure was discovered in [20, 30] and has catalyzed extensive further investigation. Many problems of existence can be transformed into studies of elliptic partial differential equations or systems of equations, with a particular focus on exploring topological and non-topological solutions [2, 48, 3, 18, 28, 17].
Partial differential equations on discrete graphs have recently garnered significant interest and are now widely applied in diverse fields such as image processing, social network analysis, bioinformatics, and machine learning. Recent advancements have extended some traditional methods for solving partial differential equations in Euclidean spaces to the context of graphs.
Pioneering research by Grigor’yan et al. [15, 14, 16] introduced a variational method to examine the Kazdan-Warner equation, the Yamabe-type equation, and other nonlinear equations. The main goal of these studies was to demonstrate the existence of solutions. For a range of partial differential equations, further investigations have been thoroughly investigated on graphs. Notably, the existence results for Yamabe type equations have been detailed in references such as [12, 10, 51]. Studies addressing Kazdan-Warner equations are found in [50, 9, 11, 46, 36], and the results concerning Schrödinger equations appear in [49, 39, 42, 4]. Additionally, significant findings related to the heat equations are documented in [35, 37].
Define as the Laplacian operator. In this research, we analyze a generalized Chern-Simons equation described by
(1.1) |
where is a positive constant, is a non-negative integer, for are positive integers, and for are specific points with denoting the Dirac delta function at . Within Euclidean spaces, the classification of a solution to equation (1.1) depends on its behavior at infinity: if approaches 0 as increases indefinitely, it is termed topological, and if declines to as increases, it termed non-topological.
For and for all , Eq.(1.1) simplifies to
(1.2) |
This equation was examined by Caffarelli et al. [1] and Tarantello [47] within a doubly periodic setting or on the 2-torus in , confirming solution presence. Similarly, Huang et al. [26] and Hou et al. [23] explored Eq.(1.2) on finite graphs, establishing solution existence. For and for each , Eq.(1.1) modifies to
(1.3) |
Han [19] determined the presence of multi-vortices for Eq.(1.3) in a similarly doubly periodic region of . Chao et al. [5] and Hu [24] documented multiple solution findings for Eq.(1.3) on finite graphs. Additional research on Chern-Simons models on graphs has been reported in [38, 22, 21, 8, 6, 32, 25, 29].
We describe the lattice for as a discrete graph denoted by . Here, denotes the set of vertices and the set of edges:
where
Consider a finite subset . The boundary, denoted , is defined as
and we denote by the closure of .
Now, we introduce function spaces and operators on graphs to prepare for the subsequent analysis. Let denote the collection of all functions on . Similarly, for a finite subset of , the set is defined as the collection of functions that are defined over . For any , the integration of on V is defined as
Analogously, we define the -norm of by
and the -norm of by
Denote whenever is an edge in . We also define the following seminorm:
The Laplacian operator for any is identified as
Furthermore, for any and on the graph, we characterize the gradient form as follows:
If , this simplifies to .
For functions in , a bilinear form is specified as
(1.4) |
and , referred to as the Dirichlet energy of . Lemma 2.2 in [49] indicates that for and with vanishing on , the following equality holds:
(1.5) |
Let represent distance from the origin. In this study, we focus primarily on global solutions to the following equation defined on :
(1.6) |
Our goal is to establish a topological solution which is also maximal. The primary finding is presented as follows:
Theorem 1.1.
For , Eq.(1.6) provides a topological solution in on , which is also a maximal solution.
In our proof, we employ methods from [45, 25]. First, we establish an iterative scheme, which yields a monotone sequence addressing the Dirichlet problem. Subsequently, we introduce the functional and demonstrate that is uniformly bounded. By using the discrete Gagliardo-Nirenberg-Sobolev inequality, we ensure that the sequence is uniformly bounded. As we pass to the limit, we ascertain a solution on . Utilizing the exhaustion method, we extend this solution to . Additionally, we establish the maximality of the solution.
2 Proof of Theorem 1.1
Initially, we recall the maximum principle. It a foundational result on graphs.
Lemma 2.1.
[25] Assume is a finite subset of . Let belong to with . If satisfies these conditions:
Then, must be non-positive throughout .
We then apply the maximum principle to construct an iterative sequence. Define as a finite subset of encompassing . Additionally, define as a connected, finite subset such that . Set and define . Select a constant , initialize , and proceed with the iterative scheme:
(2.1) |
Lemma 2.2.
Consider the sequence established in (2.1). It follows that each in the sequence is uniquely determined and adheres to the order
Proof.
First, we establish the following equation for :
(2.2) |
By the variation method in Lemma 2.2 in [21], we find that (2.2) yields a unique solution. Utilizing Lemma 2.1, it follows that .
Assuming that
and given that
we can also guarantee the existence and uniqueness of by the variation method again.
Analyzing the iterative equation (2.1), we derive that
where denotes a function constrained such that . It ensures that , thus validating the lemma in accordance with Lemma 2.1.
∎
Next, we define the natural functional and demonstrate that decreases as increases. We introduce the following functional defined over :
(2.3) |
Lemma 2.3.
Define the sequence as specified in Eq.(2.1). The sequence satisfies the decreasing inequality:
where is a constant determined by the parameters , , , and .
Proof.
By multiplying Eq.(2.1) by the difference and performing integration on the domain , we derive:
(2.4) | ||||
Utilizing the identity as specified in (1.5), we have
(2.5) |
Integrating this with equation (2.4), we conclude
(2.6) | ||||
Now we introduce a concave function for :
We see that
which yields that
(2.7) | ||||
It follows from (1.4) that
(2.8) | ||||
Next, we estimate the upper bound for . Observing that
and , we get
where constants and are determined only by the parameters , , , and .
Upon multiplying Eq. (2.2) by and performing a summation over , we obtain
From this, we deduce
Therefore,
leading to
We thus conclude that , where is dependent only on , , , and , thereby completing the proof.
∎
Next, by applying the discrete Gagliardo-Nirenberg-Sobolev inequality and invoking Lemma 2.3, we determine the upper bound for . The foundation for this application is drawn from the proof presented in Theorem 4.1 in [41]:
Lemma 2.4.
Lemma 2.1 in [27] implies that
for any . Letting , and , we have for ,
(2.9) |
Lemma 2.5.
Define the sequence as specified in Eq.(2.1). For any index , the following inequality holds:
(2.10) |
where constants and are determined exclusively by the parameters , , , and .
Proof.
Define as the null extension of across :
(2.11) |
It is evident that . By (2.9), the following inequality holds:
Referring to (2.11), we obtain:
and
Thus, it follows that:
(2.12) |
where .
Using the identity , and (2.3), we deduce:
where is a uniform constant solely based on , , and
Let is a constant to be chosen later. By Yung’s inequality, we have
where and are solely influenced by , , , and .
Hence, we obtain
(2.13) | ||||
Using the inequality given in (2.12), the subsequent estimate is derived:
which results in
(2.14) |
where - are constants depending only on and .
The boundedness of ensures that Eq.(2.15) has a solution.
Lemma 2.6.
Define as a finite subset of encompassing points . There exists a function to the following problem:
(2.15) |
This solution is a maximal across all alternatives. Additionally, we have , with determined exclusively by , , , and .
Proof.
By applying Lemmas 2.5 and 2.2 and noting that is finite-dimensional, we get
and
Since the convergence is pointwise, we see that the function adheres to the equation:
The remaining task is to demonstrate that this solution is maximal. For a function satisfying
we claim that
(2.16) |
Initially, it is noted that
We assert that . Should this not hold, and for some , then
resulting in a contradiction and thus establishing the claim.
Assuming , then
where is a function which lies between and . This ensures that by Lemma 2.1. Hence . If is a another solution, we conclude that , which means that is maximal. ∎
Mow, we will prove Theorem 1.1. Choose a series of finite and connected subsets such that
and
These lemmas will be utilized to prove Theorem 1.1. For any integers , given that and observing that on , it follows from (2.16) that
Let denote the null extension of to . Then, we have
across . Given that for all , we obtain
and . Consequently, satisfies the following equation:
Obviously, is topological.
Suppose there exists another topological solution to (1.6). For all , we will show that . Assume, for contradiction, that there exists a point such that . Given that , there must be a domain where for some . Therefore, we find
which leads to a contradiction.
Applying (2.16) over , we obtain
Fix an integer and letting , we conclude
on . Consequently, we have across , indicating that is also maximal.
ACKNOWLEDGMENTS
This work is partially supported by the National Key Research and Development Program of China 2020YFA0713100 and by the National Natural Science Foundation of China (Grant No. 11721101).
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