Coupling local and nonlocal evolution equations
Alejandro G\'arriz, Fernando Quir\'os, and Julio D. Rossi

TL;DR
This paper establishes the mathematical foundation for evolution equations combining local and nonlocal diffusion, proving existence, uniqueness, and qualitative properties, and exploring their long-term behavior and limiting cases.
Contribution
It introduces a coupled local-nonlocal diffusion model, proving well-posedness and analyzing its properties, including mass preservation and asymptotic behavior.
Findings
Proved existence and uniqueness of solutions.
Demonstrated mass preservation for certain boundary conditions.
Analyzed the large-time behavior and limiting cases to the classical heat equation.
Abstract
We prove existence, uniqueness and several qualitative properties for evolution equations that combine local and nonlocal diffusion operators acting in different subdomains and coupled in such a way that the resulting evolution equation is the gradient flow of an energy functional. We deal with the Cauchy, Neumann and Dirichlet problems, in the last two cases with zero boundary data. For the first two problems we prove that the model preserves the total mass. We also study the behaviour of the solutions for large times. Finally, we show that we can recover the usual heat equation (local diffusion) in a limit procedure when we rescale the nonlocal kernel in a suitable way.
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Coupling local and nonlocal evolution equations
by
Alejandro Gárriz, Fernando Quirós, and Julio D. Rossi
Abstract
We prove existence, uniqueness and several qualitative properties for evolution equations that combine local and nonlocal diffusion operators acting in different subdomains and coupled in such a way that the resulting evolution equation is the gradient flow of an energy functional. We deal with the Cauchy, Neumann and Dirichlet problems, in the last two cases with zero boundary data. For the first two problems we prove that the model preserves the total mass. We also study the behaviour of the solutions for large times. Finally, we show that we can recover the usual heat equation (local diffusion) in a limit procedure when we rescale the nonlocal kernel in a suitable way.
2010 Mathematics Subject Classification. 35K55, 35B40, 35A05.
Keywords and phrases. Nonlocal diffusion, integral operators, asymptotic behavior.
1 Introduction and main results
If you think about a linear diffusion equation, probably the first one that will come to your mind is the classical heat equation
[TABLE]
This equation is naturally associated with the energy
[TABLE]
in the sense that (1.1) is the gradient flow associated to , see [25].
If you go one step further and consider nonlocal diffusion problems, one popular choice is
[TABLE]
where is a nonnegative, radial function with . Notice that the diffusion of the density at a point and time depends on the values of at all points in the set , which is what makes the diffusion operator nonlocal. Evolution equations of this form and variations of it have been recently widely used to model diffusion processes, see [4, 6, 14, 18, 20, 22, 29, 30, 33, 34, 35]. As stated in [29], if is thought of as the density of a single population at the point at time , and is regarded as the probability distribution of jumping from location to location , then the rate at which individuals are arriving to position from all other places is given by , while the rate at which they are leaving location to travel to all other sites is given by . Therefore, in the absence of external or internal sources, the density satisfies equation (1.3). In this case there is also an energy that governs the evolution problem, namely
[TABLE]
In the present paper we consider an energy which is local in certain subdomain and nonlocal in the complement, and study the associated gradient flow. We will show that the Cauchy, Neumann and Dirichlet problems, in the last two cases with zero boundary data, for this equation are well posed. Moreover, we will prove that the solutions to these problems share several properties with their local and nonlocal counterparts (1.1) and (1.3): conservation of mass, for the Cauchy and Neumann problems, comparison principles, and asymptotic behaviour as .
1.1 The Cauchy problem
Let be a smooth hypersurface that divides the space in two smooth domains and . We introduce the energy
[TABLE]
where is a fixed positive constant. Thus, the energy functional has two parts, a local one , that resembles the energy functional (1.2) for the equation (1.1), and a nonlocal part, , similar to the energy (1.4) associated with the nonlocal heat equation (1.3).
We would like our equation to be the the gradient flow of the energy functional (1.5). To be more precise, will be the solution of the ODE (in an infinite dimensional space) , , , where denotes the subdifferential of at the point . To compute the subdifferential, we obtain the derivative of at in the direction of ,
[TABLE]
Thus, if were smooth, we would have
[TABLE]
where denotes the unit normal at pointing towards and stands for derivativve in the direction of coming from the local part. Since , we arrive to a problem consisting of a local heat equation with a nonlocal source term in the “local” part of the domain,
[TABLE]
together with a nonlocal heat equation in the “nonlocal” part of the domain,
[TABLE]
plus an initial condition in .
From a probabilistic viewpoint (particle systems) in this model particles may jump (according with the probability density ) when the initial point or the target point, or , belongs to the nonlocal region , and also move according to Brownian motion (with a reflection at ) in the local region . Notice that there is some interchange of mass between and since particles may jump across .
Notice that we do not impose any continuity to solutions of (1.6)–(1.7) across the interface that separates the local and nonlocal domains. In fact, solutions can be discontinuous across even if the initial condition is smooth.
As precedents for our study we quote [23, 24, 26]. In [23] local and nonlocal problems are coupled trough a prescribed region in which both kind of equations overlap (the data from the nonlocal domain is used as a Dirichlet boundary condition for the local part and viceversa). This kind of coupling gives some continuity in the overlapping region but does not preserve the total mass. In [23] and [26] numerical schemes using local and nonlocal equations are developed and used in order to improve the computational accuracy when approximating a purely nonlocal problem.
For this problem we have the following result:
** Theorem 1.1****.**
Given , there exists a unique solving (1.6)–(1.7) such that . The mass of the solution is conserved, . Moreover, a comparison principle holds: if then the corresponding solutions verify in .
1.2 The Neumann problem
Let us now present the version of this problem with boundary condition in dimension . Let us take a bounded smooth domain that is itself divided into two other subsets and by a smooth hypersurface . Again we can define an energy functional
[TABLE]
Associated with this energy we obtain an evolution problem with a “local” part
[TABLE]
and a “nonlocal” one,
[TABLE]
plus an initial condition in .
Notice that in this model there are no individuals that may jump into coming from the outside side nor individuals that jump from into the exterior side . It is in this sense that we call (1.9)–(1.10) a Neumann type problem.
For this problem we also have existence and uniqueness of solutions and a comparison principle. Moreover, as it is expected for Neumann boundary conditions, we also have conservation of mass.
** Theorem 1.2****.**
Given , there exists a unique solving (1.9)–(1.10) such that . This solution conserves mass. Moreover, a comparison principle holds.
1.3 The Dirichlet problem
As for the Dirichlet case let us take a bounded smooth domain that is itself divided into two subsets and by a smooth hypersurface . The Dirichlet version of the functional reads as
[TABLE]
extending by zero outside (and hence also on ). Notice that in the nonlocal part we have integrated in the whole . The associated evolution problem again has a local part,
[TABLE]
plus a nonlocal one
[TABLE]
plus the Dirichlet “boundary” condition
[TABLE]
and the initial condition in .
In this model we have that individuals may jump outside but they instantaneously die there since we have that the density vanishes identically in .
For this problem we also have existence and uniqueness of solutions and a comparison principle, but, of course, there is no conservation of mass.
** Theorem 1.3****.**
Given , there exists a unique solving (1.12)–(1.14) such that . Moreover, a comparison principle holds.
1.4 Asymptotic behavior.
It is well known that solutions of the local heat equation (1.1) have a polynomial time decay or the Cauchy problem and an exponential decay (to the mean value of the initial condition or to zero) for the Neumann and the Dirichlet problems. The same is true for solutions of the nonlocal heat equation (1.3), though in the case of the Cauchy problem we have to ask the second moment of the kernel
[TABLE]
to be finite as in [16]. Our local/nonlocal model reproduces these behaviours.
** Theorem 1.4****.**
(a)* Let be a solution of the Cauchy problem (1.6)–(1.7) in with integrable initial data. If , for any there is a constant such that*
[TABLE]
(b)* Let be a solution of the Dirichlet problem problem (1.12)–(1.14) in an -dimensional domain with integrable initial data. For any there are positive constants and such that*
[TABLE]
(c)* Let be a solution of the Neumann problem (1.9)–(1.10) in an -dimensional domain. For any there are positive constants and such that*
[TABLE]
1.5 Rescaling the kernel.
Our aim is to recover the usual local problems from our nonlocal ones when we rescale the kernel according to
[TABLE]
It is at this point where we choose the constant that appears in front of our nonlocal terms as
[TABLE]
Now, for a fixed initial condition and for each our evolution problems (Cauchy, Neumann or Dirichlet) have a solution. Our goal is to look for the limit as of these solutions to recover in this limit procedure the local heat equation. Notice that as becomes small the support of the kernel shrinks, hence the non locality of the operator becomes weaker as becomes smaller. As precedents where this kind of limit procedure is performed we quote [1, 2, 3, 8, 13, 17, 19, 21, 31]. One of the main difficulties here is that we do not have any continuity of the solutions to our nonlocal equations across the interface that separates the local and nonlocal domains, while the expected limit is smooth across the interface (being a solution to the heat equation in the whole domain).
** Theorem 1.5****.**
Let (with in the case of the Cauchy problem). For each , let be the solution of any of the three previously mentioned problems, Cauchy, Neumann, or Dirichlet with initial data . Then, as ,
[TABLE]
where is the solution to the corresponding problem (Cauchy, Neumann, or Dirichlet, in the two last cases with zero boundary condition) for the local heat equation (1.1) in with the same initial condition.
The rest of the paper is organized as follows: in Section 2 we collect some preliminary results and prove an inequality that will be the key in our arguments; in the following sections we prove our main results concerning existence, uniqueness and properties of the model in its three versions (Cauchy, Neumann, Dirichlet). We gather the results according to the problem we deal with and hence in Section 3 we study the Cauchy problem (including its asymptotic behaviour and the limit when we rescale the kernel); in Section 4 the Neumann problem and finally in Section 5 the Dirichlet problem.
2 Preliminaries
First, we present a very useful result that we state in its more general form. This result says that we can control the purely nonlocal energy by our local/nonlocal one.
** Lemma 2.1****.**
Let be a smooth domain, a smooth convex subdomain and . Let . Then, for any ,
[TABLE]
Proof.
Thanks to the symmetry of the kernel , our inequality is equivalent to showing that
[TABLE]
if is small enough. This is important because we stick to the domain , where belongs to , so we can express it as the integral of a derivative and make computations with it.
After a change of variables, using Jensen’s inequality we get
[TABLE]
If we define the sets and then we can apply Fubini to see that
[TABLE]
Now we define, for fixed the variable , which means that the set can be described as . Hence,
[TABLE]
The result follows taking small enough. ∎
It is worth noting that estimate (2.1) scales well with the rescaled version of the kernel given by (1.18), since . Hence we can take the same constant for all . This will be helpful when studying the asymptotic behaviour of the solutions of these problems and also for the convergence of these problems to the corresponding local ones.
The following lemma will be needed later on to study the limit behaviour under rescales of the kernel for the three different problems and is an adaptation of the results that can be found in [1, 2, 3]. In the following we will denote by the extension by zero of a function outside our domain .
** Lemma 2.2****.**
Let be a bounded domain and a sequence of functions in such that
[TABLE]
for a positive constant and is weakly convergent in to as goes to 0. Then
[TABLE]
and moreover
[TABLE]
weakly in .
Proof.
Changing variables we obtain
[TABLE]
which already provides, for a certain function , the stated weak convergence to a . Having this weak convergence we can multiply the quantity
[TABLE]
by two test functions and , integrate and pass to the limit to obtain that
[TABLE]
and it is now when we note that since has compact support the integral over in is really an integral over a compact set, so there exists small enough such that
[TABLE]
for all and all . Then
[TABLE]
Using (2.4) and the fact that converges weakly to in we have that
[TABLE]
and from this point it is easy to conclude what remains of the lemma. ∎
3 The Cauchy problem
In this section, we will prove existence and uniqueness of solutions to the Cauchy problem (1.6)–(1.7) with initial data , conservation of mass, the asymptotic polynomial decay of the norms in time, and the convergence of this problem to the local one when we rescale the kernel.
3.1 Existence and uniqueness
To prove existence and uniqueness of a solution the idea is to use a fixed point argument as follows: Given a function defined for we solve for , in a function we will call . With the obtained function we solve back for in a function . This can be regarded as an operator that satisfies . This is the operator for which we will look for a fixed point via contraction in adequate norms (we will use this technique several times), meaning that there must exist a solving the equation for with its corresponding solving the equation for .
We will write this argument for an initial condition . Let us define, for a fixed finite the norms
[TABLE]
Given to be chosen later, we define an operator as , where is the unique solution to
[TABLE]
Let us check that this problem has indeed a unique solution. In addition, we will study its dependence on the data .
** Lemma 3.1****.**
Let . Given there exists a unique that solves (3.1) for some small enough. Moreover, if and are the solutions corresponding respectively to and , then
[TABLE]
Proof.
To show existence and uniqueness we use a fixed point argument. We define an operator through
[TABLE]
An easy computation shows that
[TABLE]
but here we recall that the integral of the kernel is always lesser or equal than 1, and apply Fubini’s theorem to obtain
[TABLE]
Choosing , is a strict contraction, and hence has a unique fixed point.
As for the dependence on the data, since and , a computation similar to the one we have just performed gives
[TABLE]
which yields (3.4). ∎
Now it is time to go back to . We define as , where is the unique solution to
[TABLE]
with
[TABLE]
** Lemma 3.2****.**
Let . Given there exists a unique that solves (3.1) for some small enough. Moreover, if and are the solutions corresponding respectively to and , then
[TABLE]
Proof.
Existence and uniqueness of solutions is well known, see [25]. The contraction property follows in a similar way as before, taking into account the condition at the boundary and the source term. This time we obtain the estimate
[TABLE]
which is a contraction given . ∎
Thus, combining the two previous lemmas, we have obtained the following theorem.
** Theorem 3.1****.**
Given , there exists a unique solution to problem (1.6)–(1.7) which has as initial datum.
Proof.
First, we keep ). If we compose now the two operators
[TABLE]
is easy to obtain
[TABLE]
which again is contraction given . Therefore, there is a fixed point that gives us a unique solution in . Now, using that the fixed point argument can be iterated we obtain a global solution for our problem. ∎
There is also an alternative approach to prove existence of solutions for this problem. Applying the linear semi-group theory, see [3], we can define the operator
[TABLE]
with the constraint that on and let denote its domain. Following [3] we will see that this operator is completely accretive and satisfies the range condition . This will imply that for any there exists a such that and the resolvent is a contraction in for every . After that, Crandall-Ligget’s Theorem and the linear semi-group theory will give existence and uniqueness of a mild solution of our evolution problem. In what follows we will use notations form semi-group theory, see [3].
** Theorem 3.2****.**
The operator is completely accretive and satisfies the range condition
[TABLE]
Proof.
To show that the operator is completely accretive it is enough to see that for every given , , and such that , is compact and we have that
[TABLE]
To see this is not difficult through a change of variables , Fubini and the Mean Value Theorem that give us
[TABLE]
for some real intermediate real number .
To show the range condition let us take first and define the auxiliary operator
[TABLE]
where is the function truncated between and . This operator is continuous monotone, and more importantly it is easy to check that it is coercive in . Then, by [9], there exists a such that
[TABLE]
Let us also define the following relation. We will write if and only if
[TABLE]
for every convex, lower semi-continuous and with .
Using the monotonicity of
[TABLE]
we have that , so taking we see that and
[TABLE]
Now we will see that is non-decreasing in and non-increasing in in order to pass to the limits. We will show the ideas for the monotonicity in , since is similar for . We define and this satisfies
[TABLE]
We can now multiply by and integrate to obtain
[TABLE]
Through already mentioned techniques is easy to check that the second integral is positive, meaning that necessarily , meaning that . Since for the parameter is similar we have the mentioned monotonicity. Thus, using that , this monotonicity and monotone convergence for the term , we pass to the limit to obtain
[TABLE]
and . Passing again to the limit in we obtain
[TABLE]
Now let and a sequence in such that in . Then we have existence for by the previous steps and due to the complete accretiveness of the operator in and in (since the dual of is itself). We conclude then that . ∎
3.2 Conservation of mass
As expected, this model preserves the total mass of the solution. Formally, we have
[TABLE]
The first integral is 0 thanks to the boundary condition on , the second and third ones add up to 0, changing variables and and using Fubini, and the last integral is equal to 0 due to the domain of integration and the symmetry of the kernel . With all this and multiplying by a suitable test function our solution it is easy to prove the following theorem.
** Theorem 3.3****.**
The solution of problem (1.6)–(1.7) with initial data satisfies
[TABLE]
3.3 Comparison principle
If we have two different solutions of the Cauchy problem problem (1.6)–(1.7) then thanks to the linearity of the operator the difference between them is also a solution. It is also easy to see that given a non-negative initial data the solution keeps this non-negativity (this follows from the fixed point construction of the solution or from the accretivity of the associated operator). With this in mind, we state the following result.
** Theorem 3.4****.**
If then in . Moreover, given two initial data and , if then in .
3.4 Asymptotic decay
To study the decay of this problem we need a result that can be found in [13].
** Proposition 3.1**** ([13]).**
Take the energy functional
[TABLE]
Then, for every and there exists a positive constant such that
[TABLE]
where , and this bound provides a decay of the solutions of the evolution problem
[TABLE]
of the form
[TABLE]
for all and another different positive constant .
The following proposition will be needed to study the case . Its proof is left to the reader.
** Proposition 3.2****.**
For every pair of real numbers and there exists a positive finite constant such that for every
[TABLE]
Thanks to these propositions we can prove the following theorem.
** Theorem 3.5****.**
Every solution of problem (1.6)–(1.7) satisfies
[TABLE]
for every .
** Remark 3.1****.**
This bound coincides with the behaviour of the solutions of the local heat equation (1.1) and also with the behaviour of the solutions to the nonolocal evolution equation (1.3), see [16].**
Proof.
Inequality (2.1) and the previous proposition provide the result when , since . In fact, we can just multiply by the equation and integrate to obtain
[TABLE]
Using the previous proposition with we get
[TABLE]
from where it follows that
[TABLE]
using the conservation of mass.
The decay for can be obtained through interpolation between the previous inequality and the conservation of mass property. For every there exists a such that
[TABLE]
Therefore, since the mass of our solutions is constant and we obtain that
[TABLE]
Finally the case in the case . One can check that
[TABLE]
Using Proposition 3.2 and Lemma 2.1 we arrive to
[TABLE]
and using Proposition 3.1 with and (this is the from the proposition, not the of the norm we are studying) we arrive to
[TABLE]
with . From here it is easy to finish the proof. ∎
3.5 Rescaling the kernel
In this part we will study how, trough a limit procedure rescaling in the kernel , we can obtain the local problem. In fact we will show that solutions to the Cauchy problem for the local heat equation (1.1) can be obtained as the limit as of solutions to the problem (1.6)–(1.7) with kernel given by (1.18) and the same initial data.
We will prove convergence of the solutions in for finite times with Brezis-Pazy Theorem through Mosco’s convergence result and this is one of the reasons why we presented another existence of solutions result for this problem based on semi-group theory for m-accretive operators. The associated energy functional to the rescaled problem reads
[TABLE]
if and if not. Analogously, we define the limit energy functional as
[TABLE]
if and if not.
Now, given , for each , let be the solution to the evolution problem associated with the energy and initial datum and be the solution associated with with the same initial condition.
** Theorem 3.6****.**
Under the above assumptions, the functions converge to solutions to (1.1). For any finite we have that
[TABLE]
Proof.
We will make use of the Brezis-Pazy Theorem for the sequence of m-accretive operators in defined previously in the existence and uniqueness subsection. To apply this result we will need to show that the resolvent operators satisfy
[TABLE]
for every where is the classic operator for the heat equation in this theory. If we have this then the theorem gives convergence of to in uniformly in . To prove this convergence of the resolvents we will use Mosco’s result, where we only have to prove two things:
- (i)
For every there exists a such that in and
[TABLE]
- (ii)
If weakly in then
[TABLE]
For more information, see [3], Appendix 7, Theorems A.3 and A.38.
Let us start with (i). Given we know that there exists a sequence such that in . On the other hand, through Taylor’s expansion it is not hard to see that
[TABLE]
This means, by a diagonal argument, that there exists a subsequence of such that
[TABLE]
showing (i).
To see (ii) from the sequence of that converges weakly to we extract a subsequence such that
[TABLE]
We will suppose that this inferior limit is finite, since if it is not there is nothing to prove.
Let us now take a ball of radius centered at 0, say and define and respectively an define
[TABLE]
Since the inferior limit is finite there must exist a such that this quantity is bounded by a constant that only depends on for al and we can apply Lemma 2.1 to obtain that there exists a positive constant not depending on such that
[TABLE]
Now on this domain we apply Lemma 2.2 to obtain a subsequence of , denoted by itself for simplicity, that converges to in and such that
[TABLE]
weakly in with for all . Using now the lower semi-continuity of the norm for sequences that converge weakly we have that
[TABLE]
which means, using again Lemma 2.1, that
[TABLE]
and we finish just by making go to . ∎
4 The Neumann problem
In this section we discuss the Neumann problem (1.9)–(1.10).
4.1 Existence, uniqueness and conservation of mass
The ideas presented for the Cauchy problem can be applied mutatis mutandis to this problem. Therefore, using the fixed point argument, or the alternative approach by semigroup theory we obtain the following result whose proof is left to the reader.
** Theorem 4.1****.**
Given there exists a unique solution to problem (1.9)–(1.10) with initial datum . This solution conserves its mass along the evolution.
4.2 Comparison principle
Also arguing as we did for the Cauchy problem we have a comparison result for the Neumann case.
** Theorem 4.2****.**
If then in . Moreover, given two initial data and , with then the corresponding solutions satisfy in .
4.3 Asymptotic behaviour
In this occasion we expect the solution to converge to the average of the initial condition in every . In fact what we are going to show is that the function
[TABLE]
converges to 0 exponentially fast in norm.
** Theorem 4.3****.**
The function satisfies
[TABLE]
for every where and are positive finite constants ( can be taken independent of ).
** Remark 4.1****.**
This behaviour coincides with the behaviour of the solutions of the Heat Equation and with the behaviour of the solutions to the nonlocal evolution equation when the integrals are considered in the domain , see [16] (we have exponential convergence to the mean value of the initial condition, but notice that the constants and the exponents can be different for the three cases, local, nonlocal and our mixed local/nonlocal problems).**
Proof.
We will prove the result for . The result for comes from the use of Hölder’s inequality and for from
[TABLE]
the Proposition 3.2, Lemma 2.1 and the fact that
[TABLE]
so we can rename as another function and apply the case to obtain the cases . This case is again left for the reader and is somehow similar to the analogous case for the Cauchy problem.
So for we compute, after some calculations
[TABLE]
Using Lemma 2.1 and a result from [3] that shows that for every function with zero average we have that
[TABLE]
for some positive we obtain
[TABLE]
for another constant . From this point the result follows trivially. ∎
** Remark 4.2****.**
One can define what is the analogous to the first non-zero eigenvalue for this problem as
[TABLE]
and show that is positive (otherwise the exponential decay does not hold with a constant independent of ). The existence of an eigenfunction (a function that achieves the infimum) is not straightforward. We leave this fact open. **
4.4 Rescaling the kernel
As before, we want to study the convergence of the solutions of the Neumann problem (1.9)–(1.10) with rescaled kernel given by (1.18) to the solution of the Neumann problem for the local heat equation with the same initial datum.
** Theorem 4.4****.**
For any finite we have that
[TABLE]
where this is the solution of the Neumann problem for the Heat Equation in with the same initial data .
The proof of this theorem is analogous to the one we did for the Cauchy problem (see also [1]). Again we use the already mentioned Brezis-Pazy Theorem through convergence of the resolvents. Notice that this approach uses the linear semi-group theory in mentioned in the Cauchy section (that also works just fine in this case).
5 The Dirichlet problem
In this section we devote our attention to the Dirichlet problem (1.12)–(1.14).
5.1 Existence and uniqueness
Again, we have the following result whose proof can be obtained as in the previous cases (again we have two proofs, one using a fixed point argument and another one using semigroup theory).
** Theorem 5.1****.**
Given , there exists a unique solution to problem (1.12)–(1.14) which has as initial datum.
** Remark 5.1****.**
For this problem there is a loss of mass trough the boundary. In fact, assume that is nonnegative (and hence is nonnegative for every ). Then integrating in we get
[TABLE]
5.2 Comparison principle
As for the previous cases we have a comparison result.
** Theorem 5.2****.**
If then in . Moreover, given two initial data and with , then the corresponding solutions satisfy in .
5.3 Asymptotic decay
The result here is analogous to the one in corresponding section for the Neumann problem. The only extra tool needed is a result that was proved in [3] that shows that there exists a constant such that for every function that satisfies for every we have that
[TABLE]
similarly to the previous section for functions with zero average. At this point the proof for the following theorem is straightforward.
** Theorem 5.3****.**
The solution of the Dirichlet problem problem (1.12)–(1.14) with initial datum satisfies
[TABLE]
for every where and are positive finite constants ( can be chosen independent of ).
** Remark 5.2****.**
This coincides with the behaviour of the solutions to the Heat Equation and with the behaviour of the solutions to the corresponding nonlocal evolution equation with zero exterior condition, see [16] (we have exponential decay, but notice that again here the constants and the exponents can be different for the three cases).**
** Remark 5.3****.**
Again for this case we have an associated eigenvalue problem. Let us consider
[TABLE]
One can prove that is positive using our control of the nonlocal energy, (2.1) and the results in [3]. Again in this case the existence of an eigenfunction (a function that achieves the infimum) is left open. **
5.4 Rescaling the kernel
In this part we will study how we can obtain the solution to the Dirichlet problem with zero boundary datum for the local heat equation as the limit as of solutions of the Dirichlet problem (1.12)–(1.14) with rescaled kernel as in (1.18) and the same initial datum.
** Theorem 5.4****.**
For any finite we have that
[TABLE]
where this is the solution of the Dirichlet problem for the Heat Equation in with the same initial data and zero boundary data.
The proof of this theorem is analogous to the previous ones (we also refer to [2] here), see the comments about Theorem 4.4 in the previous section.
6 Comments on possible extensions
In this final section we briefly comment on possible extensions of our results.
- •
Our results could be extended to cover singular kernels including, for example, fractional Laplacians. In this case the associated energy for the Cauchy problem looks like
[TABLE]
The abstract semigroup theory seems the right way to obtain existence and uniqueness of a solution. One interesting problem is to couple two different fractional Laplacians and look for the asymptotic behaviour of the solutions to the corresponding Cauchy problem. We will tackle this kind of extension in a future paper.
- •
One can look for moving interfaces, making that depends on . To show existence and uniqueness of solutions for a problem like this seems a challenging problem. In this framework one is tempted to consider free boundary problems in which we have an unknown interface that evolves with time and we impose that solutions have conservation of the total mass plus some continuity across the free boundary.
- •
Finally, we mention that an interesting problem is to look at nonlinear diffusion equations (coupling, for example, a local Laplacian with a nonlocal Laplacian, see [3] for a definition of the last operator). A possible energy for this problem is
[TABLE]
This problem involves new difficulties, especially when one looks for scaled versions of the kernel and tries to see whether there is a limit.
Acknowledgments
The first two authors were partially supported by the Spanish project MTM2017-87596-P, and the third one by CONICET grant PIP GI No 11220150100036CO (Argentina), by UBACyT grant 20020160100155BA (Argentina) and by the Spanish project MTM2015-70227-P.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 777822.
Part of this work was done during visits of JDR to Madrid and of AG and FQ to Buenos Aires. The authors want to thank these institutions for the nice and stimulating working atmosphere.
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