1. Introduction and Problem Outline
The seminal work proposed by the scientists Kolmogorov, Petrovskii and Piskunov [
1] (to study combustion phenomena) and by Fisher [
2] (to understand the interactions of genes) introduced a novel methodology on how to search for solutions in non-linear reaction-diffusion problems. The proposed solutions were known as travelling waves and the main idea was to find a travelling speed for which the associated solution was monotone and stable, i.e., the solution did not oscillate. Afterwards, the proposed methodology was widely considered for modelling in different sciences: from biology and ecology (refer to [
3,
4,
5]) to fluid dynamics [
6].
The problem introduced in this study can be considered as highly degenerate. Indeed, this is because of the heterogeneous diffusion, the non-linear reaction term and the non-linearity in the advection term.
Firstly, the diffusion is given by a high order spatial operator. This kind of operator allows us to account for an heterogeneous diffusion in a given domain (see [
7]). High order operators have attracted interest to model unstable patterns of heteroclinic solutions in bi-stable systems ([
8,
9,
10,
11]). In addition, the Giorgi’s conjecture to an Allen-Cahn equation formulated with a high order operator has been provided in [
12].
Other types of heterogeneous diffusion for Fisher-KPP problems have been contemplated, for instance, the p-Laplacian operator in [
13], the p-Laplacian with non-Lipschitz reaction in [
14] and the doubly nonlinear diffusion in [
15,
16]. Considering the advection term, well-posedness and regularity of solutions have been provided by Montaru in [
17].
The proposed analysis in this paper considers the travelling waves formulation that has provided important achievements to model in different scenarios (refer to [
18] for wide discussion together with [
19,
20,
21]) including heterogeneous diffusion (see [
22,
23,
24,
25]) and porous medium degenerate diffusion [
26,
27,
28].
Heterogeneity in the Fisher-KPP reaction term is a research topic of interest. Indeed, in [
29], the authors provide existence analysis in the travelling wave domain to an heterogeneous (in space and time) Fisher-KPP equation. Additional analysis in relation with high order operators can be found in [
30,
31,
32].
The proposed problem (
P), set in Equation (
1), is constituted of three degenerate terms: a heterogeneous diffusion formulated with a order four operator, a non-linear advection term and a non-Lipschitz reaction. In addition, assume that the initial condition belongs to the bounded space of locally square integrable functions.
The main novelty introduced is related with the treatment of the three discussed degenerate terms and the theoretical aspects to study existence and uniqueness of positive solutions. In case positivity does not hold, the intention is to search for specific conditions in the involved parameters for which solutions may be positive globally or in a certain region locally in time.
Firstly, regularity results are obtained based on the formulation of the problem as an abstract evolution of a super continuous semi-group for which a fix point argument is employed (see [
33] for a fixed point theorem formulation applicable to analysis of existence topics). Afterwards, the instabilities of travelling profiles are characterized. This is an important aspect as it permits to confirm that the high degenerate problem provides inherently unstable patterns of solutions. As discussed, the presence of a non-linear advection and a degenerate reaction shall be investigated. Particularly, to determine if under certain conditions positivity of solutions may hold in the proximity of zero. Such searching of positivity (and smoothness) is explored based on numerical evidences. To make the numerical exploration tractable, the bvp4c function in MATLAB is used to provide graphical representation of solutions. It shall be noted that such representation provided aims at introducing the equation dynamics. A similar approach in this regards can be consulted in [
34], where a graphical design introduces the dynamics of a space-time fractional nonlinear Bogoyavlenskii equation and a Schrödinger equation. As our intention is to characterize positivity of solutions, the analysis is performed in one dimension,
. Nonetheless, in case of higher spatial dimensions, the MATLAB function bvp4c may not be valid. In this case, solutions shall be found based in mesh-less methods for solving transport phenomena (the reader is referred to [
35] as a representative example of this approach).
2. Assessment on Regularity, Existence and Uniqueness
2.1. Previous Definitions and Supporting Results
Definition 1. Assume the following definition of a norm in a Hilbert–Sobolev space :such that , and the function . The weight is given by (see [17,23]):where is a sufficiently small constant and is determined locally for (to have the exponential behaviour ) and . As the intention is to study oscillating (in the sense of unstable) solutions, a mollifying norm in a Sobolev space is introduced. The mollifying kernel is of the exponential type.
Definition 2. For and , the following norm is defined in a weighted Sobolev space :where the exponential kernel complies with the -condition for [36]. The coming proposition is well-known from the theory of Sobolev spaces and continuity embedding. To this end, assume a sequence of open bounded intervals such that :
Proposition 1. Consider the Sobolev space and define , then the following continuous (in the sense of Hölder) inclusion holds (see [37], p. 79): Note that in our case , then .
2.2. Solution Bounds and Regularity
Consider the general homogeneous problem:
where
is a formal representation.
The following bounds hold:
Lemma 1. Consider the square integral function : In addition, assume , then: Finally:where the order four derivative shall comply with the sub-exponential behaviour:whenever . Proof. Given the single Equation (
6), the following abstract representation holds:
and making the Fourier transformation (
f-domain):
Considering the Fourier isometric condition under
norm:
Concluding on .
Now, consider the weighted Sobolev space
with norm (
4). The following bound holds:
Initially, it has been requested
, then:
After standard assessments:
Concluding on:
for
.
Considering the weighted Sobolev space
with norm (
2):
For the last inequality, the continuity Proposition 1 has been considered, so that, the following scaling variable is defined upon:
. Note that the Proposition 1 permits to account for the regularity in the involved derivatives. The fourth derivative in
can be considered as a controlling parameter. Indeed, the inequality (
18) states that any function, under norm
, can be bounded by the mollifying norm (
4) provided there exists a finite value of
. In case any of the derivatives (but certainly the fourth) in
is not controlled, because of the presence of high instabilities in the solutions, then the inequality (
18) states that the norm
is not mollified, leading to high values in
that predominate over the mollifying norm. In this case, it shall be required
to balance cases of
because of a potentially uncontrolled order four derivative. In our case, it is the idea to study solutions in the proximity of the null state,
; therefore, it is natural to assume
. Furthermore, and according to [
23], the global decreasing behaviour of solutions is below an exponential behaviour. Then, it is required that a four order derivative shall comply:
We have shown that the mollifying space is bounded by the norm defined for square integrable initial data. Furthermore, the weighted space has been proved to be bounded by the space of mollified solutions, multiplied by the scaling term . □
The fourth order operator,
, can be regarded as the infinitesimal representation of a singe parametric (with
) strongly continuous semi-group. Hence, an abstract form to represent the evolving solution is given by:
A solution to the homogeneous problem
with pulse shape initial data
is:
A kernel to the homogeneous equation is given by:
The integral (
22) convergences for
. Consequently, a kernel
does exist.
Consider the following operator defined as a mapping:
for
, such that:
The following Lemma holds:
Lemma 2. The operator (where t refers to a free parameter) is bounded in the space under norm (2). Proof. As a previous step, the inequality
(being
a suitable constant) is proved:
where
is required to be small in
for
.
Now, considering the single parametric operator
:
Consider the inequalities in (
14) and (
18) to the terms
and
:
Based on these inequalities and the convergent kernel
shown in (
22) (
finite), we conclude that the right hand side term in (
26) is indeed bounded. Therefore, the mapping
,
is bounded. □
2.3. Uniqueness
The objective in this section is to show that the mapping
as defined in (
23) has a single fix point, i.e.,
. To this end, the following holds:
Note that
N and
are bounded functions as per the converge condition in (
22), then:
is finite
and
.
The intention now is to assess each of the integrals in (
28). To this end, the following supporting functions are previously defined:
Given fixed values for
and
s, the functions
and
are bounded. Hence, assume the following definitions of
and
:
In the proximity of the stationary solution
, any solution is convergent (this is further analyzed in the travelling waves study afterwards). Hence, consider
:
Consequently:
where the term
under the norm in (
2).
Given a ball centered in with an amplitude as a multiple of , uniqueness applies in the limit resulting in a contractive , such that in the space .
3. Travelling Waves
Travelling waves profiles are given by , being a unit vector providing the travelling wave propagation direction, is the travelling wave velocity and or , in the proximity of the stationary solutions and .
For , .
In the sake of simplicity, the advection vector
c acts in the same direction
. Hence:
Consider a truncation for the term
, to control the growing behaviour of the degenerate reaction:
Then, the associated problem
is given as:
Note that the truncated term allows us to define finite balls in the spatial domain where the travelling wave profiles evolve. Based on this, the following Lemma characterizes the travelling waves motion:
Lemma 3. The travelling wave velocity λ is positive (i.e., the travelling waves moves from to ) provided the following condition is met:where . The travelling wave velocity λ is negative for . Furthermore, the travelling wave stops for Proof. Upon integration in each of the terms:
The last integral is calculated between
and
. In addition and in the asymptotic approximation, we consider:
Now, for the integral involving the advection term:
Note that .
Compiling all the exposed:
Again, the integral on the right reads:
so that:
Now, the integrals involving the reaction terms read:
Compiling, in (
39), the different integrals assessed:
such that
Note that
. In addition,
, then the term:
The problem P is recovered for , then the expression obtained for permits to prove the lemma postulations. □
3.1. Instabilities in the Domain of Travelling Waves
The objective in this section is to characterize instability of travelling wave profiles close the critical points in (
37) at
and
. The analysis followed is based on a set of Theorems and Lemmas that were previously introduced to study unstable spatial patterns of solutions in a high order operator with odd spatial derivative [
25], in a Cahn–Hilliard equation [
24] and in a Kuramoto–Sivashinsky equation [
38]. Note that some modifications are encountered in our analysis compared to that in the previous equations mentioned.
Lemma 4. Consider the Hilbert–Sobolev spaces , . In addition, consider the Lebesgue . The following inequalities hold: , i.e., any finite mass solution is bounded by the space of oscillating solutions.
Proof. Based on (
4):
which implies
. Now, considering the norm in (
2):
a.e. in
R. Then it suffices to assume
□
Convergence of travelling waves profiles to the stationary solutions
and
can be studied based on the definition of a perturbed function,
, that measures the distance between the actual solution and the travelling wave profile:
. The problem
P (
1) is now formulated with the new function
and the profile
in the proximity of
and considering
. Note that the main terms are given by the high order operator as a source of unstable patterns and the advection term that introduces derivatives as well:
Assume the definition of:
where
and
.
The coming Lemma aims to provide bounds to the advection term:
Lemma 5. is a continuous mapping. In addition, there exist , and such that , provided .
Proof.
where the constant
comes from the local application of Gronwall‘s inequality
. Then:
such that
and
, for a sufficiently large
. □
It shall be noted that the last Lemma can be similarly treated for the mapping , provided there exist , and such that , for . In this case , for a sufficiently big .
The mapping is bounded (refer to Lemma 2), then and considering the exponential representation to the linear operator , the following Lemma is shown:
Lemma 6. The high order linear operator generates the bounded abstract evolution that complies with: Proof. First, the following exponential representation holds for any homogeneous solution:
A finite
is get after integration with regards to
t in the interval
. Similarly, for
:
where
is a suitable constant obtained after standard operations. Note that
, and
A finite value for is obtained upon integration with regards to t in the interval . □
The following objective consists on characterizing the spectrum of the operator L in the proximity of the critical points. To this end, it shall be considered that the inherent instability criteria requires L to satisfy the following Lemma:
Lemma 7. The local spectrum of L (6) in , in the proximity of the equilibrium at and , has at least one eigenvalue (s) with positive real part (. Proof. The local spectrum of
L can be shown based on the theory of Evans functions (refer to [
39]). In our case, we make use of a symbolic matrix representation to a linearized approach close the equilibrium points
and
. To understand the influence of the travelling wave velocity,
, a parametric analysis is presented in the form of homotopy graphs. First of all, assume the symbolic representation of (
35) given by:
Such that the characteristic polynomial to the matrix
E is given by:
assume the approximation
, then it is easily checked that
has at least one root with positive real part. Given an arbitrary
in
and for
we have
, now for
,
. To further understand the root behaviours to the polynomial
and with no loss of generality, assume
(see
Figure 1,
Figure 2,
Figure 3 and
Figure 4 to check on the root behaviour for different travelling waves velocities).
In the proximity of the equilibrium state
and considering
, the homotopy graphs show that there exists one eigengavalue
s with positive real part (refer to
Figure 5 and
Figure 6). Alternatively, this can be easily assessed to be
. □
3.2. Travelling Wave Exact Profiles and Positivity Conditions
As discussed in Lemma 7, there exist complex roots associated to oscillating flows of solutions. Consequently, the philosophy initially provided in the seminal work in [
1] cannot be systematically followed. Indeed, the oscillating profiles induced by the high order operator make impossible to find a critical travelling wave speed for which oscillations do not exist, leading to purely monotonic exponential solutions. As an alternative idea, the problem is translated into searching for an appropriate travelling wave velocity for which solutions are positive in the first minimum and locally in time. The localization of such minimum is carried out in the travelling wave solutions and, likely, only in a local close domain in virtue of the heterogeneity in the reaction term. Hence, and in general, we postulate that it is not possible to search for global positive solutions
, due to the introduced degenerate reaction and to the inherent instabilities associated to the operator (shown in
Section 3.1 that impedes the formulation of a maximum principle).
The analysis of exact travelling waves profiles is performed with the function bvp4c in MATLAB. This function employs an implicit Runge-Kutta with interpolant extensions [
40]. Furthermore, the solver is based on a collocation procedure for which pseudo-boundary conditions shall be specified. In our case, the initial condition is given as a Heaviside step function of the form
. This function is relevant as it allows us to understand the behaviour of a positive initial mass (at
) and a null mass (for
). In addition, an heteroclinic connection is given between the two stationary solutions at
and
. To avoid the impact of the pseudo-boundary conditions, required by the collocation method, the domain has been considered large enough, i.e.
. In addition, the maximum error assumed is
and the number of nodes in the domain has been defined accordingly to 100,000.
Our idea is to explore the existence of a specific value in the variable
for which the first travelling profile minimum is positive. The numerical routine has been executed for
with no loss of generality, so that a wide interval of
t values have been introduced until the first profile minimum is positive. The numerical analysis reveals that it is not possible to find a unique travelling wave speed (valid for any time) for which the first minimum is positive, and hence, providing a stationary inner region of positive solutions. This observation is caused by the heterogeneous reaction. On the contrary, we show that the non-Lipschitz reaction term keeps solutions unstable. Further, the analysis is explored for
p values close to one, where it is possible to conclude that positivity holds for a certain travelling wave speed and locally in time. In addition, it shall be assumed that the travelling profile moves from left to right, i.e. for particular values in
p,
a,
and
q, the advection coefficient
c shall comply with (
38). To make the problem tractable, assume that
,
(afterwards
to explore quasi-Lipschitz conditions),
and
.
Based on the discussions hold, the following Lemma aims to compile the main findings.
Lemma 8. which provides a set whose elements permit to localize the minimum values of in the travelling wave tail.
For -values in the range (i.e., non-Lipschitz reaction) solutions are oscillating for any time. For -values close to one (quasi-Lipschitz conditions), it is possible to conclude on the existence of a first positive minimum such that .
Proof. The proof of the proposed Lemma is based on the numerical findings compiled in
Figure 7,
Figure 8,
Figure 9,
Figure 10 and
Figure 11. Note that the determination of a general
is difficult in a general sound given the number of involved parameters. To avoid this issue, the numerical explorations have been pursuit for the different values provided in the Figures. Note that when
, the reaction term becomes slightly Lipschitz, then it is possible to conclude on the existence of a local positive first minimum (see
Figure 10). Considering the travelling waves variable
and given the results in
Figure 10, it is possible to determine an
-region of positivity, indeed:
Note that this region of positive solutions only holds for quasi-Lipschitz reaction and locally for
. For
, positivity in the quasi-Lipschitz case does not hold in general (refer to
Figure 11). □
4. Conclusions
The analysis provided has shown the bound properties of solutions in generalized Hilbert–Sobolev spaces together with existence and uniqueness results upon the definition of an abstract evolution. Afterwards, solutions have been shown to exhibit oscillatory patterns due to the fourth order operator. The oscillating behavior of solutions was explored based on a set of Lemmas (from Lemma 4 to 7) already used to study a high order operator with odd spatial derivative [
25], a Cahn–Hilliard equation [
24] and a Kuramoto–Sivashinsky equation [
38]. Eventually, a numerical routine is provided in the search of travelling waves profiles together with regions where conditions to characterize positive solutions hold. As a main finding, it was observed that solutions are oscillating in the proximity of the null critical point (and hence being negative since the first minimum) due to the non-Lipschitz reaction term. On the contrary, when the reaction term is quasi-Lipschitz (
), it is possible to define a region where solutions are positive locally in time. The numerical exploration was executed for specific values in the parameters
p,
c,
q and
a, but conclusions remain valid for any other combination. i.e., a region of positive solutions holds only in the quasi-Lipschitz case.