Environmental science and pollution research has benefits around the globe. Human activity produces more garbage throughout the day as the world's population and lifestyles rise. Choosing a garbage disposal site (GDS) is crucial to effective disposal. In illuminated of the advancements in society, decision-makers concede a significant challenge for assessing an appropriate location for a garbage disposal site. This research used a multi-attribute decision-making (MADM) approach based on q-rung orthopair hesitant fuzzy rough (q-ROHFR) Einstein aggregation information for evaluating GDS selection schemes and providing decision-making (DM) support to select a suitable waste disposal site. In this study, first, q-ROHFR Einstein average aggregation operators are integrated. Some intriguing characteristics of the suggested operators, such as monotonicity, idempotence and boundedness were also explored. Then, a MADM technique was established using the novel concept of q-ROHFR aggregation operators under Einstein t-norm and t-conorm. In order to help the decision makers (DMs) make a final choice, this technique aims to rank and choose an alternative from a collection of feasible alternatives, as well as to propose a solution based on the ranking of alternatives for a problem with conflicting criteria. The model's adaptability and validity are then demonstrated by an analysis and solution of a numerical issue involving garbage disposal plant site selection. We performed a the sensitivity analysis of the proposed aggregation operators to determine the outcomes of the decision-making procedure. To highlight the potential of our new method, we performed a comparison study using the novel extended TOPSIS and VIKOR schemes based on q-ROHFR information. Furthermore, we compared the results with those existing in the literature. The findings demonstrate that this methodology has a larger range of information representation, more flexibility in the assessment environment, and improved consistency in evaluation results.
Citation: Attaullah, Asghar Khan, Noor Rehman, Fuad S. Al-Duais, Afrah Al-Bossly, Laila A. Al-Essa, Elsayed M Tag-eldin. A novel decision model with Einstein aggregation approach for garbage disposal plant site selection under q-rung orthopair hesitant fuzzy rough information[J]. AIMS Mathematics, 2023, 8(10): 22830-22874. doi: 10.3934/math.20231163
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Environmental science and pollution research has benefits around the globe. Human activity produces more garbage throughout the day as the world's population and lifestyles rise. Choosing a garbage disposal site (GDS) is crucial to effective disposal. In illuminated of the advancements in society, decision-makers concede a significant challenge for assessing an appropriate location for a garbage disposal site. This research used a multi-attribute decision-making (MADM) approach based on q-rung orthopair hesitant fuzzy rough (q-ROHFR) Einstein aggregation information for evaluating GDS selection schemes and providing decision-making (DM) support to select a suitable waste disposal site. In this study, first, q-ROHFR Einstein average aggregation operators are integrated. Some intriguing characteristics of the suggested operators, such as monotonicity, idempotence and boundedness were also explored. Then, a MADM technique was established using the novel concept of q-ROHFR aggregation operators under Einstein t-norm and t-conorm. In order to help the decision makers (DMs) make a final choice, this technique aims to rank and choose an alternative from a collection of feasible alternatives, as well as to propose a solution based on the ranking of alternatives for a problem with conflicting criteria. The model's adaptability and validity are then demonstrated by an analysis and solution of a numerical issue involving garbage disposal plant site selection. We performed a the sensitivity analysis of the proposed aggregation operators to determine the outcomes of the decision-making procedure. To highlight the potential of our new method, we performed a comparison study using the novel extended TOPSIS and VIKOR schemes based on q-ROHFR information. Furthermore, we compared the results with those existing in the literature. The findings demonstrate that this methodology has a larger range of information representation, more flexibility in the assessment environment, and improved consistency in evaluation results.
Partial differential equations are classified as either elliptic, hyperbolic, or parabolic ones according to the ensembles of eigenvalues signs for their matrices of principle coefficients. This approach is formal, but, in general, it reflects the fundamental distinction between equations of different types. In particular, the difference between stationary and nonstationary equations is clearly visible: For hyperbolic and parabolic ones, a special independent variable is selected in a natural way, which is obviously interpreted as time, and properties of solutions (including issues related to kinds of problems well posed for those types of the equations) are heterogeneous, while no special independent variables are selected in the elliptic case. The above law is very general, but is not ultimate anyway. One of the most known examples of exclusions is the half-space Dirichlet problem for the Laplace equation (see, e.g., [1] and references therein): The equation remains to be elliptic, but the solutions qualitatively behave as solutions of parabolic equations, where the role of time is played by the only independent (spatial) variable varying along the positive semiaxis orthogonal to the boundary hyperplane. This allows one to call that selected independent variable the timelike one and to say about a dynamical behavior of solutions of a stationary equation.
Passing to functional-differential equations, i.e., to equations containing other operators (apart from differential ones) acting on the desired function, we see that their classification is an open issue now. The reason is that the diversity of such equations is much more rich than in the classical differential case. However, if we restrict the class of considered operators (contained in the investigated equations) to Fourier multipliers, then the following approach based on symbol signs of the operators is rather conventional: If the symbol of an operator L is negative, then it is natural to say that the operator L is elliptic, the operator ∂∂t−L is parabolic, and the operator ∂2∂t2−L is hyperbolic.
The above approach does not ensure a complete similarity with the classification of classical linear partial differential equations because symbols of differential operators are just polynomials and, therefore, this classical case is much more simple. For arbitrary Fourier multipliers, symbols might be quite different and, therefore, the property of the symbol to vanish at the origin and to be positive outside the origin might be not enough to exhaust all kinds of the ellipticity: Researchers are forced to consider nonnegative symbols, positive symbols, and symbols with positive infimums separately and, correspondingly, introduce notions of strictly elliptic and strongly elliptic operators apart from elliptic ones. However, in many cases, qualitative properties of solutions of classical partial differential equations, determined by their types, are inherited by their functional-differential generalizations (see, e.g., [2,3,4,5] and references therein). In the present paper, we restrict our consideration to the case of differential-difference equations (they are equations containing differential operators and translation ones) and provide a review of nonclassical dynamical properties of their solutions, established up to now.
In this section, we compare the differential-difference parabolic case with the well-known classical Cauchy problem for the heat equation:
n∑j=1uxjxj−ut=0,x∈Rn,t>0, | (2.1) |
u|t=0=u0(x), x∈Rn, | (2.2) |
where the initial-value function u0 is continuous and bounded. Actually, it is known that the well-posedness of problem (2.1)-(2.2) is preserved for much more broad classes of initial-value functions (they are called Tikhonov classes), but this extension is not considered here because the prototype class C(Rn)∩L∞(Rn) (by the way, it coincides with the simplest, or degenerate, Tikhonov class of zero index) is enough to clearly demonstrate specific parabolic properties of the problem and its solutions.
Thus, problem (2.1)-(2.2) is well-posed in the class of bounded functions and its unique (classical bounded) solution is represented by the convolution of the initial-value function and the Poissonian kernel E(x,t)=e−|x|24t(2√πt)n:
u(x,t)=E(x,t)∗u0(x)=∫RnE(x−ξ,t)u0(ξ)dξ. | (2.3) |
Besides, under the same assumptions about u0, the following assertion is valid (see [6]):
Theorem (Repnikov–Eidel'man alternative).
(a) Either there exists a real l such that limt→∞u(x,t)=l for each x from Rn or limt→∞u(x,t) exists for no x from Rn.
(a) The above l exists if and only if
limR→∞1|{|y|<R}|∫{|y|<R}u0(y)dy=l. |
Now, let us pass to differential-difference equations.
The class of differential-difference operators is reasonably decomposed into the following two subclasses: Equations with sums of differential and translation operators and equations with their products (superpositions).
In the half-space Rn×(0,∞), consider the equation
∂u∂t=Δu+n∑j=1mj∑k=1ajku(x+bjkhj,t) | (2.4) |
with the initial-value condition determined by (2.2), where hj=(hj1,…,hjn) are unit vectors mutually orthogonal (for j=¯1,n) in Rn, while all ajk and bjk are real constants.
The following assertion is valid (see, e.g., [7, Ch. 1]):
Theorem 2.1. If u0∈C(Rn)∩L∞(Rn), then there exists a unique classical solution of problems (2.4) and (2.2), bounded in the layer {0≤t≤T} for each positive T. This solution is infinitely smooth outside the initial hyperplane and it is represented by relation (2.3) with the following kernel of the integral representation:
E(x,t)=1(2π)n∫Rne−tG1(ξ)cos[x⋅ξ−tG2(ξ)]dξ, | (2.5) |
where
G{12}(ξ)=|ξ|2−n∑j=1mj∑k=1ajk{cossin}bjkhj⋅ξ. |
The derivation of the kernel is based on the property of translation operators to be Fourier multipliers: Following [8], we formally apply the Fourier transformation with respect to x to problem (2.4), (2.2), which is a boundary-value problem for a partial differential-difference equation. This yields the problem
dˆudt=(−|ξ|2+n∑j=1mj∑k=1ajkcosbjkhj⋅ξ+in∑j=1mj∑k=1ajksinbjkhj⋅ξ)ˆu, t∈(0,+∞), | (2.6) |
ˆu(0;ξ)=^u0(ξ), | (2.7) |
which is the Cauchy problem for a linear ordinary first-order differential equation with constant coefficients (depending on the n-dimensional parameter ξ). The solution of problem (2.6)-(2.7) is equal to
^u0(ξ)e(n∑j=1mj∑k=1ajkcosbjkhj⋅ξ+in∑j=1mj∑k=1ajksinbjkhj⋅ξ−|ξ|2)t. |
Then we formally apply the inverse Fourier transformation to that solution. We obtain that
1(2π)n∫Rneix⋅ξ+(n∑j=1mj∑k=1ajkcosbjkhj⋅ξ+in∑j=1mj∑k=1ajksinbjkhj⋅ξ−|ξ|2)t∫Rnu0(z)e−iz⋅ξdzdξ=1(2π)n∫Rnu0(z)∫Rnei(x−z)⋅ξ+(n∑j=1mj∑k=1ajkcosbjkhj⋅ξ+in∑j=1mj∑k=1ajksinbjkhj⋅ξ−|ξ|2)tdξdz=1(2π)n∫Rnu0(z)∫Rnei[(x−z)⋅ξ+tn∑j=1mj∑k=1ajksinbjkhj⋅ξ]e−t(|ξ|2−n∑j=1mj∑k=1ajkcosbjkhj⋅ξ)dξdz=1(2π)n∫Rnu0(z)∫Rncos[(x−z)⋅ξ+tn∑j=1mj∑k=1ajksinbjkhj⋅ξ]e−t(|ξ|2−n∑j=1mj∑k=1ajkcosbjkhj⋅ξ)dξdz+i(2π)n∫Rnu0(z)∫Rnsin[(x−z)⋅ξ+tn∑j=1mj∑k=1ajksinbjkhj⋅ξ]e−t(|ξ|2−n∑j=1mj∑k=1ajkcosbjkhj⋅ξ)dξdz. |
By virtue of the oddness of the function sin[(x−z)⋅ξ+tn∑j=1mj∑k=1ajksinbjkhj⋅ξ] with respect to each variable ξj, we obtain function (2.5).
All the actions undertaken within the above procedure (we change the order of the integrating, apply the direct and inverse Fourier transformations, and eliminate integrals of odd functions over symmetric regions) do not constitute a proof because no convergence of those integrals are proved. This all is done to obtain function (2.5). Now, we have to prove its well-definiteness, justify the legibility of its differentiation inside the integral, and to prove that it satisfies Eq (2.4) indeed.
Consider the equation
∂u∂t=Lu:=Δu+n∑i=1mi∑j=1aij∂2u∂x2i(x1,…,xi−1,xi+bij,xi+1,…,xn,t), | (2.8) |
where all aij and bij are real constants.
To investigate such equations, the following notion of strongly elliptic differential-difference operators (cf. the definition for bounded domains in [2,§ 8]) is introduced:
Definition 2.1. We say that a differential-difference operator is strongly elliptic if there exists a positive constant C such that the real part of the operator is bounded from above by −C|ξ|2.
For the last equation, the following unique-solvability theorem is valid (see, e.g., [7, Ch. 2]):
Theorem 2.2. If u0∈C(Rn)∩L∞(Rn) and the operator −L from Eq (2.8) is strongly elliptic, then there exists a unique solution of problem (2.8), (2.2) in the sense of generalized functions. This solution is infinitely smooth outside the initial hyperplane and it is represented by relation (2.3) with kernel (2.5) of the integral representation, where
G{12}(ξ)=n∑k,j=1akjξ2k{cossin}bkjξj. |
To investigate dynamical properties of solutions in the case of problem (2.4), (2.2), we additionally (comparing with the assumptions of the unique solvability theorem) impose the strong ellipticity requirement for the operator L−n∑j=1∑k<m0jajkI, where the operator L acts as follows:
Lu=Δu+n∑j=1∑k<m0jajku(x+bjkhj,t), |
m0j=mj+1 if ajk<0 for each k∈¯1,mj, and m0j=minajk>0k otherwise.
This requirement is imposed under the assumption that the (finite) number sequence {ajk}mjk=1, j=¯1,n, does not decrease (no generality is lost under this assumption).
Thus, under the specified requirement, the limit relation
limt→+∞[e−tn∑j=1mj∑k=1ajku(x,t)−w(x1+q1tp1,…,xn+qntpn,t)]=0 | (2.9) |
is satisfied for each x from Rn, where w(x,t) is the bounded solution of the Cauchy problem for Eq (2.1) with the initial-value function u0(p1x1,…,pnxn),
pj=√1+12mj∑k=1ajkb2jk,andqj=mj∑k=1ajkbjk,j=¯1,n. |
Remark 2.1. Each pj is well defined because the operator L−n∑j=1∑k<m0jajkI is strongly elliptic, which implies the positivity of each of the above radicands.
For Eq (2.8), the following result about the long-time behavior is valid under the assumptions of Theorem 2.2:
the limit relation limt→+∞[u(x,t)−w(x,t)]=0 holds for each x from Rn, where w(x,t) is the bounded solution of the Cauchy problem for the differential equation
∂u∂t=n∑i=1(1+mi∑j=1aij)∂2u∂x2i | (2.10) |
with the initial-value function u0(x1,…,xn).
Remark 2.2. The strong ellipticity of the operator −L guarantees the positivity of each coefficient 1+mi∑j=1aij. Therefore, Eq (2.10) is parabolic, i.e., the function w(x,t) is well defined.
At the moment, the following results about hyperbolic partial differential-difference equations are known.
For equations with sums of differential operators and translation operators (or, which is the same, equations with nonlocal potentials), we select the case where all coefficients at nonlocal terms of the equation are nonnegative. For this case, the most general equation considered up to now is
utt−Δu+m∑k=1aku(x−hk,t)=0, | (3.1) |
where h1,…,hm are vectors from the space Rn, a1,…,am are real constants, and n and m are positive integers.
The following assertion is established in [9]:
Theorem 3.1. If ak≥0 for each k∈¯1,m and a0h20<π24, where a0=m∑k=1ak and h0=maxk∈¯1,m|hk|, then each function
αF(x,t;γ)+βH(x,t;γ), | (3.2) |
where α and β belong to (−∞,∞), γ belongs to Rn,
{FH}(x,t;ξ)=e±tG1(ξ)sin[tG2(ξ)±φ(ξ)±x⋅ξ], | (3.3) |
G{12}(ξ)=ρ(ξ){sincos}φ(ξ), | (3.4) |
φ(ξ)=12arctanb(ξ)|ξ|2+a(ξ), |
ρ(ξ)=([|ξ|2+a(ξ)]2+b2(ξ))14, |
and
{ab}(x)=m∑k=1ak{cossin}hk⋅x, |
is an infinitely smooth global solution of Eq (3.1).
To prove this theorem, one just substitutes the functions F and H defined above to Eq (3.1), but the way to find those functions is to be clarified. The classical Gel'fand–Shilov scheme from [8] is applied in this case as well, but it cannot be completed: We have to stop prior to the step applying (formally) the inverse Fourier transformation because no convergence of the arising improper integral with respect to the dual variable ξ is guaranteed. Instead, we truncate the described procedure before the integrating with respect to that dual variable and treat it as an n-dimensional parameter (in Theorem 3.1, it is denoted by γ). The result of this procedure (modified this way against the procedure used for the proof of Theorem 2.1) is the function of variables x and t and parameters α, β, and γ, represented by (3.2).
It follows from the assumptions of Theorem 3.1 that the real part of the symbol of the operator u↦Δu−m∑k=1aku(x−hk,t) is less than zero. Thus, we deal with a natural generalization of the classical differential case so far: Once the assumptions of Theorem 3.1 are satisfied, it is reasonable to treat the investigated differential-difference equation as a hyperbolic one.
However, the requirement of the sign-constancy of the real part of the symbol of the differential-difference operator contained at the investigated equation can be taken off. At the moment, the most general case of the violation of the specified sign-constancy is the equation
utt−Δu−au(x+h,t)=0, | (3.5) |
where a is a real parameter and h:=(h1,…,hn) is a vector parameter.
The following assertion is proved in [10]:
Theorem 3.2. If α and β are real constants, while ξ from Rn is such that |ξ|2−acosh⋅ξ≠0, then function (3.2), where the functions F and H are defined by relation (3.3),
ρ(ξ)=[(|ξ|2−acosh⋅ξ)2+a2sin2h⋅ξ]14, |
φ(ξ)=12{arctanasinh⋅ξ|ξ|2−acosh⋅ξfor|ξ|2−acosh⋅ξ>0,arctanasinh⋅ξacosh⋅ξ−|ξ|2for|ξ|2−acosh⋅ξ<0, |
and
G{12}(ξ)={ρ(ξ){sincos}φ(ξ)for|ξ|2−acosh⋅ξ>0,ρ(ξ){cossin}φ(ξ)for|ξ|2−acosh⋅ξ<0, |
satisfies Eq (3.5) in Rn+1 and is infinitely differentiable.
Note that, unlike Theorem 3.1, the assumptions of Theorem 3.2 admit equations with sign-changing real parts of the symbol of the differential-difference operator.
For hyperbolic equations with superpositions of differential operators and translation operators, the most general (up to now) case is considered in [11]. This is the equation
utt−Δu−n∑j=1ajuxjxj(x−hj,t)=0, | (3.6) |
where h1,…,hn are vectors from the space Rn, a1,…,an are real constants, and n is a positive integer.
Prior to provide the result obtained for Eq (3.6), we have to introduce the following notation:
hj=:(hj1,…,hjn) for each j=¯1,n;
{αβ}(ξ):=n∑j=1ajξ2j{cossin}(n∑k=1hjkξk) are real-valued functions of variable ξ from Rn.
The following assertion is valid (see [11]):
Theorem 3.3. If |aj|<1 for each j=¯1,n, then both functions (3.3), where G1(ξ) and G2(ξ) are the functions defined by relations (3.4),
φ(ξ)=12arctanβ(ξ)|ξ|2+α(ξ), |
and
ρ(ξ)=([|ξ|2+α(ξ)]2+β2(ξ))14, |
are infinitely smooth global solutions of Eq (3.6) for each ξ from Rn.
Note that, under the assumption of Theorem 3.3, the inequality |ξ|2+α(ξ)>0 holds outside the origin. Therefore, we are under the sign-constancy restriction for the real part of the symbol again.
Nonclassical dynamical properties of elliptic problems in anisotropic unbounded domains (the prototype example of the half-space Dirichlet problem for the Laplace equation is provided in the introduction above) take place in the differential-difference case as well. In this section, we review results for the half-space Dirichlet problem for elliptic differential-difference equations. As in the classical theory of differential equations, qualitative properties of solutions substantially depend on whether the boundary-value function of the problem belongs to L∞ or to L1. Consider these two classes of problems separately.
The most general equation with sums of differential operators and translation operators, investigated up to now, is
uxx+uyy−m∑j=1aju(x+hj,y)=0, | (4.1) |
where m is a positive integer, a=(a1,…,am)∈Rm, and h=(h1,…,hm)∈Rm. If we consider it in the half-plane {x∈(−∞,+∞), y∈(0,+∞)} and set the boundary-value condition
u|y=0=u0(x) | (4.2) |
on the line {x∈(−∞,+∞)}, where u0∈C(R)∩L∞(R), then the following result is valid (see [12]):
Theorem 4.1. Let m∑j=1aj≥0 and there exist a positive a0 such that
ξ2+m∑j=1ajcoshjξ>a0 | (4.3) |
for each real ξ.
Then the function
u(x,y)=1π+∞∫−∞E(x−ξ,y)u0(ξ)dξ, | (4.4) |
where
E(x,y)=∞∫0e−yG2(ξ)cos[xξ−yG1(ξ)]dξ, | (4.5) |
G1(ξ) and G2(ξ) are the functions defined by relations (3.4),
θ(ξ)=12arctanm∑j=1ajsinhjξξ2+m∑j=1ajcoshjξ |
and
ρ(ξ)=[(ξ2+m∑j=1ajcoshjξ)2+(m∑j=1ajsinhjξ)2]14, |
satisfies problem (4.1)-(4.2) in the classical sense.
Note that the functions ρ(ξ) and θ(ξ) are well defined by virtue of condition (4.3).
The most general equation with products of differential operators and translation operators, investigated up to now, is
uxx+m∑k=1akuxx(x+hk,y)+uyy=0. | (4.6) |
In [13], the following result is proved for problem (4.6), (4.2):
Theorem 4.2. Suppose that there exists a positive constant C such that the inequality
1+m∑k=1akcoshkξ≥C | (4.7) |
holds on the real line. Then function (4.4), where
E(x,y)=∞∫0e−yG1(ξ)cos[xξ−yG2(ξ)]dξ, | (4.8) |
G1(ξ)=ξ√φ(ξ)+a(ξ)+12, G2(ξ)=ξ√φ(ξ)−a(ξ)−12, φ(ξ)=[a2(ξ)+b2(ξ)+2a(ξ)+1]12, and {ab}(ξ)=m∑k=1ak{cossin}hkξ, satisfies problem (4.6), (4.2) in the sense of distributions, it satisfies Eq (4.6) in the classical sense in the half-plane (−∞,+∞)×(0,+∞), and the following limit relation holds for each real x:
limy→+∞[u(x,y)−v(x,y)]=0, | (4.9) |
where v(x,y) is the bounded solution of the partial differential equation
(a0+1)uxx+uyy=0, | (4.10) |
satisfying condition (4.2), while a0=m∑k=1ak.
Note that the functions G1(ξ) and G2(ξ) are well defined by virtue of condition (4.7) and the ellipticity of Eq (4.10) and, therefore, the unique solvability of problem (4.10), (4.2) is guaranteed by condition (4.7) as well.
In this section, the independent variable x is n-dimensional and it is assumed that the boundary-value function u0 from condition (4.2) belongs to L1(Rn). Thus, condition (4.2) is set L1(Rn), and the Dirichlet problem in Rn×(0,∞) is considered for the following two equations (see [14,15]):
n∑j=1∂2u∂x2j(x,y)−m∑k=1aku(x+hk,y)+∂2u∂y2(x,y)=0, | (4.11) |
where m is a positive integer, a1,…,am are nonnegative constants, and hk=(hk1,…,hkn), k∈¯1,m, are vectors from Rn with real coordinates, and
n∑j=1uxjxj(x,y)+uyy(x,y)+n∑j=1ajuxjxj(x+hj,y)=0, | (4.12) |
where a1,…,an are real constants, hj=(hj1,…,hjn),j=¯1,n, are arbitrary vectors from Rn.
For Eq (4.11), we assume that
maxk∈¯1,m|hk|max{m∑k=1ak,√m∑k=1ak}<π2. | (4.13) |
For Eq (4.12), we assume that
maxj=¯1,n|aj|<1. | (4.14) |
In both cases, the problem has a solution expressed by relation (2.3), where the kernel E is expressed by relation (2.5), and G{12}(ξ)=ρ(ξ){cossin}φ(ξ).
For problem (4.11), (4.2), i.e., for the case of sums of operators, we have
θ(ξ)=12arctanm∑j=1ajsinhj⋅ξξ2+m∑j=1ajcoshj⋅ξ |
and
ρ(ξ)=[(|ξ|2+m∑j=1ajcoshj⋅ξ)2+(m∑j=1ajsinhj⋅ξ)2]14. |
For problem (4.12), (4.2), i.e., for the case of superpositions of operators, we have
θ(ξ)=12arctann∑j=1ajξ2jsinhj⋅ξ|ξ|2+n∑j=1ajξ2jcoshj⋅ξ |
and
ρ(ξ)=[(|ξ|2+n∑j=1ajξ2jcoshj⋅ξ)2+(n∑j,k=1ajkξ2jsinhj⋅ξ)2]14. |
In both cases, the obtained solution is infinitely differentiable in the open half-space and satisfies the boundary-value condition at least in the sense of distributions.
In both cases, the following uniform estimate is valid for the constructed solution and each its derivative:
|Dlu(x,y)|≤C‖u0‖1yn+l, | (4.15) |
where l is an arbitrary positive integer and the left-hand side denotes an arbitrary partial derivative of order l of the function u(x,y), while the constant C depends neither on n nor on l.
For equations containing sums of differential and translation operators with respect to spatial variables, the question arises that whether it is possible to pose problems natural for the parabolic case is solved without the analysis of the nonlocal part of the equation: If the equation obtained after the eliminating of all nonlocal terms (note that this is a differential equation) is parabolic, then the Cauchy problem (for the original differential-difference equation) is uniquely solvable in the class of bounded functions and the solution is infinitely smooth outside the initial hyperplane.
Once we pass to the investigation of qualitative properties (more exactly, the long-time behavior) of solutions, the situation is changed substantially: The nonlocal part of the equation matters. To establish those properties, we construct a special differential-difference operator, using parameters of the nonlocal part of the investigated equation, and require that operator to be strongly elliptic. Note that relation (2.9) obtained under this requirement is an asymptotical closeness (proximity) theorem quite typical for classical differential equations of the parabolic type (see, e.g., [16,17,18,19,20,21,22,23]): A so-called etalon function such that its properties (behavior) are known (in our case, this is a weighted solution of the Cauchy problem for the heat equation with a prescribed bounded initial-value function), and we prove that the difference between this etalon function and the investigated solution vanishes as t→∞. The qualitative novelty of the nonlocal case is that the said difference vanishes as the independent variable of the investigated solution and the independent variable of the etalon function tend to infinity along different ways: For the investigated solution, this is a line orthogonal to the initial hyperplane; for the etalon function, this is a line forming a nonzero (in general) angle with the former line. This angle is totally determined by the parameters (coefficients and translation vectors) of the nonlocal terms of the investigated equation.
Remark 5.1. The fact that the etalon function is to be weighted is not caused by the nonlocal nature of the problem. The reason is that the nonlocal part of the investigated equation is actually a nonlocal potential. In the classical case of parabolic differential equations, the presence of potential terms leads to the arising of weights in the etalon functions as well.
For equations containing superpositions of differential and translation operators with respect to spatial variables, the strong ellipticity condition imposed on the said superposition ensures all parabolic properties: The unique solvability of the Cauchy problem, the infinite smoothness of the Poisson-like representation of the solution outside the initial hyperplane, and the asymptotical closeness of solutions. Again, the etalon function is the solution of the Cauchy problem for an (etalon) parabolic differential equation, where the said etalon equation is constructed as follows: We take the investigated differential-difference equation and assign all translation vectors to be equal to the zero vector.
Remark 5.2. In general, (asymptotical) closeness theorems are stronger than stabilization one: They provide an information about the solution behavior even in the case where no stabilization takes place. However, it is possible to impose additional restrictions on the nonlocal terms of the equation to guarantee the validity of the Repnikov–Eidel'man stabilization criterion (see [7, Corollaries 1.6.1 and 2.5.1]).
If we treat the ellipticity of differential-difference operators in the sense of the sign-constancy of the real part of the symbol, i.e., if we extend the classical ellipticity notion in a natural way, then all results obtained for the case of products (superpositions) of differential operators and translation operators are valid for hyperbolic differential-difference equations: Multiparameter families of global infinitely smooth solutions are constructed explicitly. For the case of sums of differential operators and translation operators, this achievement is substantially extended: The above families are constructed even if the sign-constancy condition is not satisfied, i.e., it suffices to require the ellipticity only for the differential operator acting with respect to the spatial variables.
In both cases, the smoothness issue is to be clarified: In the classical theory of differential equations, infinitely smooth solutions are typical for elliptic and parabolic problems (e.g., solving the Laplace equation, we restore a harmonic, i.e., infinitely smooth, solution from its summable trace), but resolving operators of hyperbolic problems do not possess this smoothing property. Moreover, this smoothing property is not preserved even for the elliptic case in the nonlocal theory (see [24,25] and later results in that direction): Even if the input data such as right-hand side or (and) boundary-value function is smooth, the smoothness of the solution itself might be broken; only the smoothness of the solution in subdomains is guaranteed by the smoothness of the input data. Thus, the existence of families of infinitely smooth solutions presented in Section 3 above should be explained. We do that as follows. Functions (3.2) presented above are global solutions, i.e., solutions in the whole space, of homogeneous equations. Such solutions do exist in the classical hyperbolic theory as well. For example, solving a mixed problem in a cylindrical domain by means of the separation variables method, we construct a function series. Each term of this series is an infinitely differentiable global solution of the equation, but it does not solve the investigated problem; it solves only the equation. The whole series satisfies the problem, but it is not infinite differentiable anymore. However, each its term is infinitely differentiable.
The approach to take into account nonlocal parts of partial differential-difference operators, defining their ellipticity, is shown to be reasonable not only for the general theory. It turns out that it "catches" the following specific (but quite important) effect: If we consider the equation in a heterogeneous region, where one of independent variables varies only on the positive semiaxis, then it plays the role of time in the sense that solutions acquire dynamical properties. Moreover, they are quite close to properties of solutions of parabolic equations. Note that all the assumptions about the nonlocal parts of elliptic equations, imposed in Section 4, i.e., conditions (4.3), (4.7), (4.13), and (4.14), are ellipticity conditions in the sense stated in the introduction above: We take the whole differential-difference operator of the equation and bound its sign (or the sign of its real part). The results demonstrate the fundamental similarity with the classical theory. In particular, estimate (4.9) is a theorem on the asymptotical closeness of solutions, typical for the theory of elliptic differential equations (see, e.g., [26,27,28]).
The dependence of dynamical properties of solutions (including the case of steady-state equations) on the type of the equation is preserved for differential-difference equations, but the diversity of this phenomenon becomes much more rich than in the classical theory of partial differential equations.
The approach to treat the ellipticity of partial differential-difference operators as the negativity of (the real parts of) their symbols and to classify types of partial differential-difference equations correspondingly demonstrates its reasonability from the viewpoint of dynamical properties, but there are important cases where it suffices to assume only the ellipticity of the differential operator with respect to the spatial variables.
Thus, the proposed concept of types of partial differential-difference equations is consistent and it inherits the following very important property from the classical theory of partial differential equations: Dynamical properties vary from type to type and they substantially correspond to physics interpretations of the investigated equations.
The dependence of dynamical properties of solutions (including the case of steady-state equations) on the type of the equation is preserved for differential-difference equations, but the diversity of this phenomenon becomes much more rich than in the classical theory of partial differential equations.
The approach to treat the ellipticity of partial differential-difference operators as the negativity of (the real parts of) their symbols and to classify types of partial differential-difference equations correspondingly demonstrates its reasonability from the viewpoint of dynamical properties, but there are important cases where it suffices to assume only the ellipticity of the differential operator with respect to the spatial variables.
Thus, the proposed concept of types of partial differential-difference equations is consistent and it inherits the following very important property from the classical theory of partial differential equations: Dynamical properties vary from type to type and they substantially correspond to physics interpretations of the investigated equations.
To the case where x is a vector independent variable, extensions of results of Section 4.1 independent variable would be quite important for the completion of the theory of half-space elliptic problems. Note that, in the classical case of differential equations, results of this kind are valid regardless the dimension of the spacelike (tangential) independent variable x. The same takes place in the nonlocal parabolic case (covered by Section 2). Thus, there are reasons to expect that the fact that the nonlocal elliptic case is valid only for the scalar independent variable x yet is caused just by technical difficulties. In the classical elliptic case, the kernel of the integral representation is radially symmetric with respect to x. In the nonlocal parabolic case, we have the factorability with respect to the spatial independent variable. No such symmetries (helping the researchers) are available in the nonlocal elliptic case, but the problem nature is to be the same.
Analysing the assumptions of Theorem 3.2, we see that, for hyperbolic differential-difference equations, it is quite important to describe sign-constancy sets for real parts of symbols of differential-difference operators. A global infinitely smooth solution is constructed both in the case where the parameter ξ belongs to the positivity set D+ of that real part and to its negativity set D−, but its expression depends on whether the said parameter is located in D+ or D−. Thus, the description problem for the above sets of differential-difference operators becomes very timely. Moreover, there are reasons to expect that the solution of the specified problem might help to find an appropriate notion of characteristic manifolds for hyperbolic differential-difference equations. Up to the knowledge of the author, no such a notion is used now.
The author expresses his profound gratitude to A. L. Skubachevskii for his valuable considerations and his permanent attention to this work.
The research was carried out at the expense of a grant of the Russian Science Foundation No. 24-11-00073, https://rscf.ru/en/project/24-11-00073/.
Main ideas of this paper appeared during the stay of the author at the Sino-Russian Mathematics Center (SRMC) of Peking University in May 2024. The author is very grateful to SRMC for the hospitality and to his colleagues from SRMC for the useful discussion.
The author declares he has not used Artificial Intelligence (AI) tools in the creation of this article.
The author declares no conflicts of interest.
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