Stieltjes Bochner spaces and applications to the study of parabolic equations

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Highlights

  • A novel type of parabolic equation with Stieltjes time derivative is introduced.

  • Suitable to study equations with impulses or lapses where they don't not evolve.

  • Specific existence and uniqueness results rigorously demonstrated.

  • Some realistic numerical examples related to population dynamics are provided.

Abstract

This work is devoted to the mathematical analysis of Stieltjes Bochner spaces and their applications to the resolution of a parabolic equation with Stieltjes time derivative. This novel formulation allows us to study parabolic equations that present impulses at certain times or lapses where the system does not evolve at all and presents an elliptic behavior. We prove several theoretical results related to existence of solution, and propose a full algorithm for its computation, illustrated with some realistic numerical examples related to population dynamics.

Introduction

The main goal of this work is to analyze the existence of solution of the partial differential equation{ug(k1u)+k2u=f,in[(0,T)Cg]×Ω,u=0,on(0,T)×Ω,u(0,x)=u0(x),inΩ, where ΩR3 is a domain with a smooth enough boundary ∂Ω and ug is the Stieltjes derivative in some Banach space V with respect to a left-continuous nondecreasing function g:RR. This is, given a function u:[0,T]V, we define for each t[0,T]Cg, ug(t) as the following limit in V in the case it exists:ug(t):={limstu(s)u(t)g(s)g(t),iftDg,u(t+)u(t)g(t+)g(t),iftDg, whereDg={sR:g(s+)g(s)>0} andCg={sR:g is constant on (sε,s+ε) for some εR+}.

The study of this type of derivatives and its application to the field of ODEs appears in [4], [5], [10], [11]. We use the notation established in previous works. We further assume that k1>0 is a positive constant, k20, u0L2(Ω) and fLg2([0,T],L2(Ω)), with ([0,T],Mg,μg) a suitable measure space associated to g [11]. It is important to mention that if u:ARH is g-continuous for every t0A in the sense of:ε>0δ>0:[tA,|g(t)g(t0)|<δ]u(t)u(t0)H<ε, then f is constant in the same intervals as g [4, Proposition 3.2]. Moreover, continuity in the previous sense does not imply continuity in the classical sense, but if g is continuous at t0[0,T], then so is f [11]. Taking into account that g es left-continuous, we observe that the spaces of bounded g-continuous functions BCg([0,T],L2(Ω)) and BCg([0,T),L2(Ω)) are basically the same since any function in BCg([0,T],L2(Ω)) must be continuous at T.

Observe that the Stieltjes derivative is not defined at the points of Cg. The connected components of Cg correspond to lapses when our system does not evolve at all and presents an elliptic behavior. The set Dg of discontinuities of g correspond with times when sudden changes occur and which are usually introduced in the form of impulses. Finally, in the remaining set of times [0,T](CgDg) the system presents a parabolic behavior and the different slopes of the derivator g (see [10]) correspond to different influences of the corresponding times, namely, the bigger the slope of g the more important the corresponding times are for the process. In a certain sense, system (1) can be considered as a degenerate parabolic system.

The main difficulty in the mathematical analysis of system (1) lies in the fact that we cannot consider the distributional derivative in time for defining the concept of solution. Thence, we will define the solution in terms of its integral representation and prove new Lebesgue-type differentiation results in order to recover the Stieltjes derivative g-almost everywhere in [0,T]. Results proven in the appendix of [2] suggest that it might be possible to define the concept of g-distributional derivative, thus proving the relationship between the g-absolute continuous functions and the Wg1,1-type spaces. It is important to mention that in the case where g(t)=t, we recover the standard derivative, so all of the results that we will prove extend the classical theory.

In this work we will establish the basis of the mathematical analysis for system (1) as well as a first numerical approximation of its solution. In order to organize the contents of the paper, we will divide the work in the following sections: In Section 2 we will introduce the Stieltjes-Bochner spaces in which we will define the concept of solution. We will also prove new Lebesgue-differentiation-type results for the Stieltjes derivatives and some continuous injections. In Section 3 we will define the concept of solution of problem (1). In Section 4 we will prove an existence result for system (1) that generalizes some aspects of the classical theory of parabolic partial differential equations. Finally, in Section 5, we will present a realistic example and we will propose a numerical scheme. In this example we will have a parabolic-elliptical behavior, showing the advantage of considering derivatives of the Stieltjes type.

Section snippets

Stieltjes Bochner spaces

We start by defining the spaces in which to look for the solution of the problem and its fundamental properties. In order to achieve this, and for convenience of the reader, we start by reviewing some concepts related to Bochner spaces [2], [9], [13], [14]. Let us consider the measure space (R,Mg,μg) induced by g [11] and V a real Banach space.

Definition 2.1

g-measurable functions

Given f:RV we say:

  • f is a simple g-measurable function if there exits a finite set {xk}k=1nV such that Ak=f1({xk})Mg, with μg(Ak)< and f=k=1nxkχAk.

The concept of solution

In this section we will establish the concept of solution of system (1). In order to properly motivate this concept, we will proceed by analogy with the classic case. So, we consider the following system:{ut(k1u)+k2u=f,in(0,T)×Ω,u=0,on(0,T)×Ω,u(0,x)=u0(x),inΩ, with fL2([0,T],L2(Ω)), u0L2(Ω). If we denote byW1,p,q([0,T],V,V)={uLp([0,T],V):dudtLq([0,T],V)}, where dudt is distributional derivative of u. We have that there exists an unique element uW1,2,2([0,T],H01(Ω),H1(Ω))C([0,T],L

An existence result

In this section we will study the existence and uniqueness of solution of the equation (1) where ΩR3 is a domain with a sufficiently regular boundary ∂Ω. We take V=H01(Ω) and H=L2(Ω) in the functional framework of the previous section and we use the classical diagonalization method – see [3] – in order to prove existence of solution. The fundamental goal is to recover those results known for the case Dg=.

Let us establish some notation. Let {wk}kN be an eigenvector basis of H01(Ω),

Applications to population dynamics

In this section we present a possible application of the theory that we have developed in the previous section to a silkworm population model based on the example presented in [10, Section 5]. In our case, we will consider that we have a diffusion term that allows us to study the spatial distribution of the silkworm in an island (for instance, Gran Canaria). Thus, consider the following equation:{ug(t)(ηu)=f(t,u(t),u),in[(0,T)Cg]×Ω,ηun=0,on(0,T)×Ω,u(0,x)=u0(x),inΩ, where ΩR2, η>0, u0L

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The authors were partially supported by Xunta de Galicia, project ED431C 2019/02, and by projects MTM2015-65570-P and MTM2016-75140-P of MINECO/FEDER (Spain).

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