Dirichlet-to-Neumann maps on Trees
Leandro M. Del Pezzo, Nicol\'as Frevenza, Julio D. Rossi

TL;DR
This paper explores the Dirichlet-to-Neumann map on trees for solutions to mean value formulas, revealing local and nonlocal operator behaviors and providing existence and uniqueness results for associated boundary value problems.
Contribution
It introduces two definitions of the Dirichlet-to-Neumann map on trees and characterizes them as local or nonlocal operators, extending classical concepts to discrete structures.
Findings
Dirichlet-to-Neumann map is a local operator of order one for directed trees.
For undirected mean value formulas, similar local results are obtained.
An alternative nonlocal Dirichlet-to-Neumann map is characterized for certain parameters.
Abstract
In this paper we study the Dirichlet-to-Neumann map for solutions to mean value formulas on trees. We give two alternative definition of the Dirichlet-to-Neumann map. For the first definition (that involves the product of a "gradient" with a "normal vector" and for a linear mean value formula on the directed tree (taking into account only the successors of a given node) we obtain that the Dirichlet-to-Neumann map is given by (here is an explicit constant). Notice that this is a local operator of order one. We also consider linear undirected mean value formulas (taking into account not only the successors but the ancestor and the successors of a given node) and prove a similar result. For this kind of mean value formula we include some existence and uniqueness results for the associated Dirichlet problem. Finally, we give an alternative definition of the…
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Dirichlet-to-Neumann maps on trees
Leandro M. Del Pezzo
,
Nicolás Frevenza
and
Julio D. Rossi
Leandro M. Del Pezzo, Nicolás Frevenza and Julio D. Rossi CONICET and Departamento de Matemática, FCEyN, Universidad de Buenos Aires, Pabellon I, Ciudad Universitaria (1428), Buenos Aires, Argentina.
[email protected], [email protected], [email protected]
Abstract.
In this paper we study the Dirichlet-to-Neumann map for solutions to mean value formulas on trees. We give two alternative definition of the Dirichlet-to-Neumann map. For the first definition (that involves the product of a “gradient” with a “normal vector”) and for a linear mean value formula on the directed tree (taking into account only the successors of a given node) we obtain that the Dirichlet-to-Neumann map is given by (here is an explicit constant). Notice that this is a local operator of order one. We also consider linear undirected mean value formulas (taking into account not only the successors but the ancestor and the successors of a given node) and prove a similar result. For this kind of mean value formula we include some existence and uniqueness results for the associated Dirichlet problem. Finally, we give an alternative definition of the Dirichlet-to-Neumann map (taking into account differences along a given branch of the tree). With this alternative definition, for a certain range of parameters, we obtain that the Dirichlet-to-Neumann map is given by a nonlocal operator (as happens for the classical Laplacian in the Euclidean space).
Key words and phrases:
Dirichlet-to-Neumann map, Mean value formulas, Equations on trees.
2010 Mathematics Subject Classification. 35J05, 35R30, 31E05, 37E25.
1. Introduction
Informally, the Dirichlet-to-Neumann map works as follows: given a function on , solve the Dirichlet problem for the Laplacian with this datum inside the domain and then compute the normal derivative of the solution on to obtain the operator . Our main goal in this paper is to study the Dirichlet-to-Neumann map for solutions to mean value formulas on trees.
The study of Dirichlet-to-Neumann maps for partial differential equations (PDEs) has a rich history in the literature. For the classical second order operator the Dirichlet-to-Neumann map is related to the widely studied Calderon’s inverse problem, that is, knowing the Dirichlet-to-Neumann map, , find the coefficient (see for instance [5] and the survey [21]). This problem has a well known application in electrical impedance tomography. The Dirichlet-to-Neumann map is also related to fractional powers of the Laplacian. For the classical Laplacian in a half space it is well known that the Dirichlet-to-Neumann map gives the fractional Laplacian (with power ), that is a nonlocal operator, see [4].
Let us include now a brief comment on previous bibliography on mean value formulas. Mean value formulas characterize solution to certain PDEs. For example, in the Euclidean setting, the validity of the mean value formula in balls characterize harmonic functions. Nonlinear mean value properties that characterize solutions to nonlinear PDEs can also be found, for example, in [14, 18, 9, 10]. These mean value properties reveal to be quite useful when designing numerical schemes that approximate solutions to the corresponding nonlinear PDEs, see [16, 17]. For mean values on graphs (and trees) we refer to [2, 11, 13, 12, 15] and [3, 19, 20] and references therein.
Linear and nonlinear mean value properties on trees are models that are close (and related to) to linear and nonlinear PDEs, hence it seems natural to look for the Dirichlet-to-Neumann map in the context of solutions to a mean value formula defined in a tree. The analysis performed here can be viewed as just a first step into the study of the general Calderon problem in a tree.
It turns out that our first step in the analysis is to find a suitable definition for this Dirichlet-to-Neumann map on the tree. We have two different definitions for this concept. Our first definition starts with the idea of what is the normal derivative: we take the “gradient” of a function at a node and the inner product with a “normal vector”, then we multiply by a scaling parameter (a suitable power of the distance of the node to the root of the tree) and compute the limit as the node goes to the boundary of the tree (see the precise definitions below). This definition combined with the fact that we have an explicit formula for the solution of the Dirichlet problem for the case of the linear averaging operator, allow us to explicitly compute the Dirichlet-to-Neumann map for smooth data. Surprisingly, this Dirichlet-to-Neumann map just gives a local operator, . When the mean value formula that we consider also depends on the ancestor (that is, for an undirected tree), we have an alternative definition of the Dirichlet-to-Neumann map. In this alternative definition we just consider the difference between the values of at two successive vertices in a branch of the tree and then compute the limit as the vertices go to the boundary (suitable scaled). For this second definition the Dirichlet-to-Neumann map can be also computed (under a hypothesis on the parameter that measures the influence of the ancestor in the mean value formula) and gives rise to a more involved nonlocal operator that we also describe here.
1.1. Notations and statements of the main results
Let us first introduce some notations needed for the precise statement of the results contained in this paper.
Let . A tree with regular branching is a graph that consists of the empty set (also called the root of the tree) and all finite sequences with whose coordinates are chosen from
{forest}
[, [0 [0 [0 [,edge=dotted]] [1 [,edge=dotted]] [2 [,edge=dotted]] ] [1 [0 [,edge=dotted]] [1 [,edge=dotted]] [2 [,edge=dotted]] ] [2 [0 [,edge=dotted]] [1 [,edge=dotted]] [2 [,edge=dotted]] ] ] [1 [0 [0 [,edge=dotted]] [1 [,edge=dotted]] [2 [,edge=dotted]] ] [1 [0 [,edge=dotted]] [1 [,edge=dotted]] [2 [,edge=dotted]] ] [2 [0 [,edge=dotted]] [1 [,edge=dotted]] [2 [,edge=dotted]] ] ] [2 [0 [0 [,edge=dotted]] [1 [,edge=dotted]] [2 [,edge=dotted]] ] [1 [0 [,edge=dotted]] [1 [,edge=dotted]] [2 [,edge=dotted]] ] [2 [0 [,edge=dotted]] [1 [,edge=dotted]] [2 [,edge=dotted]] ] ] ]
A tree with branching.
The elements in are called vertices or nodes. Each vertex has successors, obtained by adding another coordinate. We will denote by
[TABLE]
the set of successors of the vertex If is not the root then has a only an immediate predecessor (or ancestor), which we will denote as A vertex is called a level vertex () if . The level of is denoted by The set of all level vertices is denoted by Given such that and we denote by the predecessor of level of In this context, we use the following notation
A branch of is an infinite sequence of vertices, each followed by an immediate successor. The collection of all branches forms the boundary of , denoted by . We can observe that the mapping defined as
[TABLE]
is surjective, where and for all Whenever is a vertex, we set
[TABLE]
We can also associate to a vertex an interval of length as follows
[TABLE]
Observe that for all , is the subset of consisting of all branches that pass through . In addition, for any branch we can associate to the sequence of intervals given by
[TABLE]
for any For any it is easy to check that and
Given a function on the tree we define its gradient as the vector that encodes all the differences between with the values of at the successors, , that is, we let
[TABLE]
Now, let us introduce the mean value formulas that we are interested in. Given we say that a function is a harmonic function on if
[TABLE]
and
[TABLE]
We shall often write harmonic function as an abbreviation for harmonic function. Notice that for we have that harmonic functions are solutions to
[TABLE]
Note that if the definition of a harmonic function coincides with the classic mean value on the tree viewed as a graph (the value of at any node is just the mean value of at all the nodes that are connected to ). Whereas for the definition coincides with the definition of a harmonic function on the arborescence (also called directed) tree. In this last case the equation involve only the values of at a node and its successors. See, for instance, [1, 6, 7, 8, 12, 13].
Given a bounded function we say that a function is a solution to the Dirichlet problem with boundary datum if is a harmonic function and verifies
[TABLE]
Our first result shows that for a continuous datum there is existence and uniqueness of solutions for the Dirichlet problem when , while when there are no non-constant bounded solutions. Hence the Dirichlet problem with a continuous datum is solvable only when or when is a constant function.
Theorem 1.1**.**
Let be a continuous function. For any , there is a unique bounded solution to the Dirichlet problem with boundary datum that is there is a unique bounded harmonic function such that
[TABLE]
Moreover, this solution can be explicitly computed and is given by
[TABLE]
where and denote the average integral, .
Finally, for any every bounded harmonic function is constant.
Formula (1.3) allows us to obtain existence and uniqueness of solutions for more general boundary data, see Remark 3.5.
As an interesting property of the solutions we notice that for this notion of harmonic functions, in the case we have a strong comparison principle (this property does not hold in the case that is, for solutions to the usual Laplacian on the arborescence tree).
Theorem 1.2**.**
For any , two bounded harmonic function that are ordered,
[TABLE]
and touch at one vertex, for some , must coincide in the whole tree, that is,
[TABLE]
After proving the existence and uniqueness of a solution with the explicit formula (1.3), we are ready to introduce our first version of the Dirichlet-to-Neumann map.
Definition 1.3**.**
Let and fix a vector (the “normal vector”). The Dirichlet-to-Neumann map for harmonic functions in the direction of , that we call is defined by
[TABLE]
for any Here is the harmonic function on with boundary value .
In the case , we obtain the following explicit expression for the Dirichlet-to-Neumann map depending on the usual derivative
Theorem 1.4**.**
Let and be the solution of the Dirichlet problem ( is a harmonic function in ) with boundary datum Then for any we have
[TABLE]
where
[TABLE]
We remark that This orthogonality is natural since from (1.1) we have .
In the case of , we need to add an extra assumption to obtain the explicit expression for the Dirichlet-to-Neumann map.
Theorem 1.5**.**
Let be such that
[TABLE]
and be the solution of the Dirichlet problem ( is harmonic in ) with boundary datum Then, for any we have
[TABLE]
where
Remark 1.6*.*
If and then
[TABLE]
Notice that with our first definition the Dirichlet-to-Neumann map is a local operator of order one ( is just a constant times ). However, in the Euclidean setting the Dirichlet-to-Neumann map is a nonlocal operator (also of order one).
Now we present an alternative definition of the Dirichlet-to-Neumann map. In this alternative definition we just consider the difference between the values of at two successive vertices in a branch of the tree and then compute the limit as the vertices go to the boundary (suitable scaled).
Definition 1.7**.**
The Dirichlet-to-Neumann map associated to harmonic functions, that we call is defined by
[TABLE]
for any Here the scaling parameter is given by
With this definition, when , the Dirichlet-to-Neumann map turns out to be a nonlocal operator (as in the Euclidean setting).
Theorem 1.8**.**
Let and be the solution of the Dirichlet problem for harmonic functions with boundary datum Then, for any we get
[TABLE]
where the kernel is given by
[TABLE]
with defined by
[TABLE]
The reason why we require the condition is that we need that in our arguments.
In [6, 7, 8] it was considered the Dirichlet problem on the directed tree for a general averaging operator. The results for the Dirichlet problem presented in this paper, where the harmonic equation at point depends on the predecesor of (except for ), can be easily adapted for nonlinear averaging operators similar to those studied in [6, 7, 8]. Unfortunately, in the nonlinear case we can not find a general explicit formula for the Dirichlet-to-Neumann map due to the fact that in the nonlinear case we do not have an explicit expression for the solution of the Dirichlet problem like the one find for the lineal case.
Organization of the paper. First, in Section 2, we prove a comparison principle; then, in Section 3 we prove Theorems 1.1 and 1.2; and, finally, in Section 4 we prove Theorems 1.4, 1.5 and 1.8.
2. A comparison principle
Let us start by introducing the definition of subharmonic and superharmonic functions.
Given a function is called a subharmonic function on if the following inequalities hold
[TABLE]
and is a superharmonic function if the opposite inequalities hold. Thus, if is both subharmonic and superharmonic, then is harmonic.
Before showing our comparison principle we need to prove the following lemma (that gives the validity of a maximum/comparison principle).
Lemma 2.1**.**
*Let and be sub and superharmonic functions respectively, and
be given by*
[TABLE]
[TABLE]
for any If is finite at every point,then
[TABLE]
Proof.
Let
[TABLE]
If then there is a sequence such that and
[TABLE]
Therefore,
[TABLE]
and there is nothing to prove.
Throughout of the rest of this proof, we assume that For any there is such that
[TABLE]
If without loss of generality, we can assume that
Observe that is a subharmonic function since and are bounded sub and superharmonic functions, respectively. Then, the sequence defined by
[TABLE]
satisfies
[TABLE]
Additionally, there is such that Then
[TABLE]
Therefore, for any
[TABLE]
Since is arbitrary, the proof is complete. ∎
As an immediate corollary of the previous lemma, we have the following the comparison principle.
Theorem 2.2**.**
Let and be sub and superharmonic functions, respectively, and define by
[TABLE]
[TABLE]
for any Assume that and are finite at each point. If
[TABLE]
for all then
[TABLE]
for all
3. The Dirichlet Problem. Existence and uniqueness
This section is devoted to the proofs of Theorems 1.1 and 1.2.
3.1. Existence and uniqueness
In the case the proof of Theorem 1.1 can be found in any of the references [6], [7] or [19], for this reason throughout this section we assume that
We first study the case in which is a characteristic function.
Lemma 3.1**.**
Let and There exists a harmonic function such that for any hold
[TABLE]
Proof.
We assume that , the other cases can be handled in an analogous way. We set
If then is a harmonic function that satisfies (3.4).
If we define
[TABLE]
where is the sequence given by
[TABLE]
We can check by a direct calculation that is a harmonic function. Moreover, for any such that
[TABLE]
due to the hypothesis In addition, there is such that and
[TABLE]
On the other hand, it is easy to check that is an increasing and bounded Cauchy sequence. Then, there exists such that Thus, for any such that and , we have
[TABLE]
Hence, taking , we have a bounded harmonic function such that (3.4) holds.
Now, if and is such that we let
[TABLE]
where is the sequence given by
[TABLE]
By an inductive argument we obtain that the following statements hold:
- •
The function is a harmonic function;
- •
For any such that
[TABLE]
due to
- •
There is such that with , and
[TABLE]
- •
is an increasing and bounded Cauchy sequence with .
Then, there is such that Thus, for any such that
[TABLE]
Finally, the function is a bounded harmonic function such that (3.4) holds. ∎
Now, we can show existence and uniqueness for a general continuos boundary datum.
Theorem 3.2**.**
For any the Dirichlet problem for harmonic functions with continuous boundary datum , has a unique solution.
Proof.
Let be a continuous boundary datum.
Let us start by observing that, for any constant , a function is a solution of the Dirichlet problem for harmonic functions with datum , if only if is a solution of the Dirichlet problem for harmonic functions with datum . Therefore, without loss of generality, we may assume that is a nonnegative function.
Let be the set
[TABLE]
Note that is not the empty set since
We claim that the function
[TABLE]
is a subharmonic function. Indeed, for any we have
[TABLE]
[TABLE]
Therefore, using the definition of as the supremum of the functions , we get
[TABLE]
[TABLE]
that is, is a subharmonic function. Now, we extend to the boundary by its .
Our second claim is that for any
[TABLE]
Let For any there exist and such that for all Now taking and where is given by Lemma 3.1, we have that is a harmonic function such that
[TABLE]
Here, we are using that in [0,1]. Then, and therefore for any In particular, for any Therefore,
[TABLE]
Taking the limit as we have
[TABLE]
since is a continuous function.
On the other hand, taking where and we obtain a harmonic function with
[TABLE]
Thus, by Theorem 2.2, we have that for any Therefore for any In particular, for any Then
[TABLE]
Again, taking the limit as we have
[TABLE]
Therefore
[TABLE]
Our last claim is that is a harmonic function. To verify this claim, we suppose, arguing by contradiction, that is not a harmonic function. Then, there is such that
[TABLE]
Therefore, there exists such that for this ,
[TABLE]
Then, the function defined by
[TABLE]
belongs to Therefore, by the definition of we have for any In particular
[TABLE]
This contradiction establishes our last claim.
Therefore, from our last two claims, we have that is a solution to the Dirichlet problem with continuous boundary datum
Finally, we want to observe that the uniqueness of solution is, once more, a consequence of Theorem 2.2. ∎
We now give a different proof of the existence of solution finding an explicit formula for the solution. This explicit formula will be very useful when computing the Dirichlet-to-Neumann map.
Theorem 3.3**.**
Let If is a continuous function the solution to the Dirichlet problem with boundary datum is given by the formula:
[TABLE]
where .
Proof.
We first observe that
[TABLE]
On the other hand, for any
[TABLE]
Then
[TABLE]
Therefore, is a harmonic function.
To end the proof, we need to show that
[TABLE]
Fix and . By continuity there exists such that
[TABLE]
Now, we choose such that
[TABLE]
which is possible since . Then, we pick such that
[TABLE]
Using both facts and the formula (3.6), it is easy to compute that
[TABLE]
Therefore, as is arbitrary it follows that
[TABLE]
Remark 3.4*.*
The function is indeed a martingale relative to the natural filtration determined in as the proof of the explicit formula (3.6) shows.
Remark 3.5*.*
The formula (3.6) makes sense for a bounded and integrable function . In fact, the function defined in (3.6) is harmonic, so, the proof of Theorem 3.3 holds with the clarification that in the boundary coincides with in any Lebesgue point of . The proof of the comparison principle holds also in this case, so, the Dirichlet problem with a bounded and integrable boundary condition has also a unique solution.
In what follows we will analyze the case . For it is immediate that the only harmonic functions are the constants (indeed, by an inductive argument in the distance from to the root of the tree one can show that for every ). For we will show that any harmonic function on that is not constant is unbounded. In both cases, the Dirichlet problem with a general (non-constant) continuous boundary condition has not solution.
Theorem 3.6**.**
Let and a non-constant harmonic function. Then, is unbounded.
Proof.
We assume without loss of generality that . Let be a point of such that and Such point exists since is non-constant and if there is more than one, choose any of them. Denote for its father and observe that . By the mean-value formula there is a successor of , called , such that with . Now, using again the mean-value formula for we have
[TABLE]
So, there is a descendent of , called , such that with . Suppose that there are , such that is the father of and with , we want to construct the next point in the sequence. By the mean-value formula
[TABLE]
so, there exists such that and with . Moreover, by (3.8) it is easy to check that
[TABLE]
Thus, for we have that as . ∎
Observe that, having proved Theorems 3.2 , 3.3, and 3.6, we obtained Theorem 1.1.
3.2. Strong comparison principle
To end this section, we prove a strong comparison principle in the case and show that this does not hold for .
Theorem 3.7**.**
Let harmonic functions such that on and for some . Then,
[TABLE]
in the whole tree.
Proof.
Since are harmonic functions,
[TABLE]
[TABLE]
Then, each term in the sums must be zero due to on so
[TABLE]
for all . Hence
[TABLE]
For the strong comparison principle fails. Indeed, consider for instance and the unique solution of the Dirichlet problem with boundary condition , where is a nonnegative continuous function with and
[TABLE]
then, using the formula for the solution
[TABLE]
it follows that but because . Notice that this example shows that the strong maximum principle also fails (there are nontrivial nonnegative harmonic functions that vanish in an interior point).
4. Dirichlet-to-Neumann maps
In this section we deal with the computation of the formulas for the two versions of the Dirichlet-to-Neumann maps described in the introduction.
4.1. First definition
First, we deal with our first definition and consider
[TABLE]
for any Here is the harmonic function on with boundary value .
4.1.1. Case
Let and be the solution of the Dirichlet problem with boundary datum Given we now want to compute
[TABLE]
Lemma 4.1**.**
Let and be the solution of the Dirichlet problem with boundary datum Then for any we get
[TABLE]
where is the midpoint of and
[TABLE]
Proof.
First, since is a harmonic function, given , we get
[TABLE]
To abbreviate we introduce the notation
[TABLE]
and we have
[TABLE]
On the other hand, by Theorem 1.1, we have that
[TABLE]
Then,
[TABLE]
Next, let us set as the midpoint of that is
[TABLE]
Since we now that for any there is a such that
[TABLE]
Then,
[TABLE]
Observe that
[TABLE]
and
[TABLE]
Thus
[TABLE]
On the other hand, note that if is odd then for we have that
[TABLE]
and
[TABLE]
Now, assuming that is odd, by (4.10), (4.11), (4.12) and (4.13) we obtain
[TABLE]
where
On the other hand, if is even then (4.13) holds for . Then, proceeding as in the case that is odd, we get
[TABLE]
where . ∎
Now, we can prove Theorem 1.4.
Proof of Theorem 1.4.
Let and be the solution of the Dirichlet problem with boundary datum
Given by Lemma 4.1, we get
[TABLE]
where is the midpoint of Then, since and we get as and
[TABLE]
4.1.2. Case
Now, we prove a explicit formula for the Dirichlet-to-Neumann map assuming that .
Proof of Theorem 1.5.
For any and by (3.6), we get
[TABLE]
Then, since we have
[TABLE]
Since we now that for any there is a such that
[TABLE]
Therefore, using again that we obtain
[TABLE]
Thus
[TABLE]
4.2. Second definition
Now we consider our second definition for the Dirichlet-to-Neumann map
[TABLE]
for any
4.2.1. Case
Given and we define as follows
- •
If then
- •
If then is the only number in such that and
In fact
[TABLE]
We are now ready to prove a technical lemma that will be relevant throughout the rest of this section.
Lemma 4.2**.**
Let and be the solution of the Dirichlet problem with and boundary datum Then for any and
[TABLE]
where
[TABLE]
Proof.
Given and by (1.3), we get
[TABLE]
Then
[TABLE]
Observe that, if
[TABLE]
Whereas if then
[TABLE]
Finally, if then
[TABLE]
Therefore,
[TABLE]
Remark 4.3*.*
Observe that in the proof of the previous lemma we showed that
[TABLE]
Then, it holds that
[TABLE]
To end this section, we proceed with the proof of Theorem 1.8.
Proof of Theorem 1.8.
Let Without loss of generality, we can assume that for any there is such that Then for any Then, by Lemma 4.2 and Remark 4.3, we have that
[TABLE]
where
[TABLE]
Then
[TABLE]
Here,
[TABLE]
and
[TABLE]
Since we have that for any
[TABLE]
there is a such that
[TABLE]
Then,
[TABLE]
Observe that
[TABLE]
and
[TABLE]
Then, since implies we have that
[TABLE]
Finally, we compute
[TABLE]
Note that
[TABLE]
On the other hand, by definition of we have that for any and
[TABLE]
Then, for any and
[TABLE]
and therefore for any and
[TABLE]
Since we get and therefore It follows that
[TABLE]
So, by dominated dominated convergence theorem
[TABLE]
Thus, by (4.14), (4.15), and (4.16), we get
[TABLE]
Remark 4.4*.*
For any one may be tempted to compute
[TABLE]
Unfortunately, we are unable to compute this limit in this way. This is due to the fact that, in general, the following limit
[TABLE]
does not exists.
Acknowledgements. Supported by CONICET grant PIP GI No 11220150100036CO (Argentina), by UBACyT grant 20020160100155BA (Argentina) and by MINECO MTM2015-70227-P (Spain).
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