Abstract
In this paper, we analyze the well-posedness of the Cauchy–Dirichlet problem to an integro-differential equation on a multidimensional domain in the unknown , where are the Caputo fractional derivatives, with , and are uniform elliptic operators with time-dependent smooth coefficients. The principal feature of this equation is related to the integro-differential operator , which (under certain assumption on the coefficients) can be rewritten in the form of a generalized fractional derivative with a non-positive kernel. A particular case of this equation describes oxygen delivery through capillaries to tissue. First, under proper requirements on the given data in the linear model and certain relations between and , we derive a priori estimates of a solution in Sobolev–Slobodeckii spaces that gives rise to providing the Hölder regularity of the solution. Exploiting these estimates and constructing appropriate approximate solutions, we prove the global strong solvability to the corresponding linear initial-boundary value problem. Finally, obtaining a priori estimates in the fractional Hölder classes and assuming additional conditions on the coefficients and and the nonlinearity , the global one-valued classical solvability to the nonlinear model is claimed with the continuation argument method.
Keywords:
a priori estimates; Caputo derivatives; nonlinear oxygen subdiffusion; global classical solvability MSC:
Primary 35R11; 35B45; Secondary 35B655; 26A33; 35Q92
1. Introduction
Fractional calculus is an effective tool to model the complex nonlinear phenomena (indicated as anomalous) arising in continuum mechanics, thermodynamics, medicine, biology and so on (see, for example, [1,2,3,4,5,6,7,8] and also references therein). Features of anomalous diffusion contain history dependence (memory term), long-range (or nonlocal) correlation in time and heavy-tail characteristics, while its signature is that the mean square displacement of the diffusion species scales as a nonlinear power law in time, i.e., . If the anomalous diffusion exponent belongs to the interval , the underlying diffusion process is called subdiffusive. The constitutive relation of the viscoelastic material and the anomalous diffusion are successfully described by single-, multi-term or distributed order fractional ordinary or partial differential equations (FODE or FPDE) and by general integro-differential equations with a generalized fractional derivative:
where is a non-negative locally integrable kernel.
Specifying the kernel in (1) gives rise to different types of fractional derivatives. In particular, the Caputo fractional derivative of order is recovered via (1) for the power-law memory kernel , with being the Euler Gamma function. The distributed order memory kernel
where is a non-negative weight function, reduces (1) to the fractional derivative of the distributed order, and corresponding FPDEs or FODEs of a distributed order. An important particular case of such equations is the diffusion equation with multi-term time-fractional derivatives with respect to time
which is the main focus of this paper. Indeed, to reduce (1) with (2) to the multi-term fractional derivatives, the weight function in (2) is taken in the form of a finite linear combination of the Dirac delta functions with non-negative weight coefficients.
It is worth noting that the order of the corresponding fractional differential equations is defined with the anomalous diffusion exponent. In order to derive fractional differential equations from physical laws, one can exploit two different ways. The first approach is related to modeling continuous time random walk processes at the micro-level and taking a continuous limit at the macro-level [9]. The second method is appealed to conservative laws and specific constitutive relations with memory [1,4,10].
In this paper, motivated by the mathematical model for oxygen delivery through capillaries described in [4,5], we focus on the study of the initial-boundary value problem to semilinear diffusion equations with multi-term fractional derivatives, where some coefficients may be non-negative.
Let be a bounded domain with a smooth boundary , and for any fixed , denote
For , we discuss the following non-autonomous multi-term subdiffusion equation with memory terms in the unknown function ,
supplemented with the initial condition
and subject to the Dirichlet boundary condition (DBC)
where , , , f, g and the memory kernel are prescribed in Section 3.
The symbol ∗ stands for the time-convolution product on , i.e.,
while denotes the Caputo fractional derivative of the order with respect to time t, defined as
There is an equivalent definition
if u is an absolutely continuous function. As for operators , they are the linear elliptic operators of the second order with time-dependent coefficients (written in divergence form), that is
where we put
For the mathematical treatment of single-term time-fractional diffusion equations with and without memory terms (i.e., subdiffusion equations similar to (4) with and either or ), which have been extensively studied (analytically and numerically) for the last few decades, we refer the reader to [11,12,13,14,15,16,17,18,19,20,21,22,23]. The diffusion equation with the general integro-differential operator (1) is analyzed in [7,8] (see also the references therein). The Cauchy problem for this equation on an unbounded space domain is discussed in [24]. Exploiting the Fourier method, well-posedness and a maximum principle for the initial-boundary value problem to the subdiffusion equation with multi-term fractional derivatives (3) with the positive constant coefficients are studied in [25]. In [26], a solution to an initial-boundary value problem is formally represented by Fourier series and the multivariate Mittag–Leffler function. However, the authors do not provide the proof of the convergence of these series. This gap in the case of the multi-term time-fractional diffusion equation with positive constant coefficients was filled in [27]. Initial-boundary value problems to equations with operator (3) where coefficients (i.e., x- dependent) are discussed in [28]. The semilinear equation with the general fractional derivative (1) is analyzed in [29], where the uniqueness and the local/global existence are proved by means of the Schauder fixed-point theorem. Finally, we quote [3,4,5,6,30,31], where some analytical and numerical solutions were constructed to the corresponding initial-boundary value problems to the evolution equation with the operator (3).
The main distinction of equation (4) from the equations in the aforementioned previous works is related to the multi-term fractional derivatives: , which can be rewritten in the form of (1) with the kernel being either a negative function or a function alternating in sign. Indeed, choosing
and appealing to Lemma 4 in [14], we end up with the equality
where the kernel
is negative for ( is the Euler–Mascheroni constant). It is worth noting that the non-negativity of the kernel plays a crucial role in the previous investigations of FPDEs and related initial/initial-boundary value problems. This assumption is removed in our research. Moreover, equation (4) contains fractional derivatives calculated from the product of two functions: the desired solution u and the prescribed coefficients . The last peculiarity provides additional difficulties to study since the typical Leibniz rule does not work in the case of fractional derivatives, i.e.,
To the author’s best knowledge, there are only two papers [32,33] in the published literature addressing the solvability of initial-boundary value problems to the equation similar to (4). Indeed, the first result concerning to existence and uniqueness of global classical solutions to the linear version (i.e., ) of the non-autonomous equation (4) with alternating in sign and subjected to various types of boundary conditions was presented in [32]. However, solvability in the smooth classes (fractional Hölder spaces) requires stronger assumptions on the right-hand sides in the corresponding problems. Thus, our first goal of this art is to fill this gap, providing the well-posedness to the linear version of (4)–(6) under weaker requirements on the given functions. Namely, assuming that belong to the proper fractional Sobolev spaces, we prove the one-to-one strong solvability in the class , of (4)–(6) with . On this route, the main ingredient is a priori estimates in the fractional Sobolev spaces, which give rise to the Hölder regularity of a solution. Moreover, we establish similar results to the —term fractional equations:
with , .
The second novelty of this paper is related to the well-posedness of the nonlinear Cauchy–Dirichlet problem (4)–(6), i.e., . Indeed, in [33], this nonlinear model was analyzed in the case of a one-dimensional space domain and only time-dependent coefficients Therefore, the second achievement of this art is the extension of the result of [33] to the case of semilinear equation (4) with coefficients depending on the space and time variables and stated in a multidimensional domain . It worth noting that, compared to [33], the analyzed model in the multidimensional case will require -regularity on the memory kernel . Namely, if g is locally Lipschitz, then the main point to study the global classical solvability is searching a priori estimates for the solution u, and in turn the bound for . In the one-dimensional case, the Sobolev embedding theorem provides the inequality
exploiting only the bound of . This trick cannot be drawn in the multidimensional case, where bound (7) is eventually reached via the following iterative inequalities:
To this end, we first rewrite equation (4) in a suitable form, where the memory term does not contain the principal part of the operator (i.e., ). Then, we exploit the integral iterative technique from [18]. At the same time, as a side effect, the term appears in the equation. Here, is the conjugate kernel, having the same properties of . This explains the requirement of a smoother kernel in the multidimensional case.
Outline of the Paper
The paper is organized as follows: in Section 2, we introduce the notation and the functional setting. The main assumptions are given in Section 3. The principal results, Theorems 1–2 and Lemma 1, are stated in Section 4. Theorem 1 is related to a priori estimates of the solution u in and in in the case of the linear version of (4)–(6), while Theorem 2 concerns the global classical solvability of the corresponding nonlinear problem. The existence and the uniqueness of a strong solution to (4)–(6) with are stated in Lemma 1. It is worth noting that this claim is a simple consequence of Theorem 1 and the results related to the one-to-one classical solvability established in our previous work [32], so we give the proof of this lemma in Section 3. Some definitions and some auxiliary results from fractional calculus, playing a key role in this art, are given in Section 5. The proof of Theorem 1 is carried out in Section 6. Here, exploiting so-called one variant of a Leibniz rule to Caputo derivatives, and , and following the approach from Section 5 in [18], we rewrite equation (4) in an appropriate form, where the principal part of the integro-differential operator is represented as ; the leading part of the operator (as we wrote above) is not involved in the memory term. After that, in Section 6.1, we first obtain a priori estimates in the fractional Sobolev spaces for a small time interval and then discuss how these estimates can be extended to the whole time interval. In Section 6.2, collecting the obtained estimates in the space with results in [23], we evaluate the Hölder seminorms of the solution u. In particular, in the case of homogeneous initial and boundary conditions, this estimate reads as
Finally, Section 7 is devoted to the verification of Theorem 2. The main tool in our arguments is the continuation method related to the study of a family of auxiliary problems depending on a parameter . On this route, one has to obtain a priori estimates for the solutions which are independent of (see Section 7.1). The key bound is the estimate of , produced via integral iteration techniques adapted to the case of multi-term fractional derivatives.
2. Functional Spaces and Notation
Throughout this art, C will be a generic positive constant, depending only on the given data of the model. We will perform our study in the fractional Hölder spaces. To this end, we take two arbitrary (but fixed) quantities
Let l be any non-negative integer, and be any Banach space. For any , we consider the usual spaces
Recall that for non-integer s, is called the Sobolev–Slobodeckii space (for its definition and properties see Chapter 1 in [34], and Chapter 1 in [35]).
Denoting for
we assert the following definition.
Definition 1.
A function belongs to the class , for if the function v and its corresponding derivatives are continuous and the norms are finite:
In a similar way, we introduce the space , for
The properties of these spaces were discussed in Section 2 [18]. It is worth noting that, if , the class boils down to the usual parabolic Hölder space (see (1.10)–(1.12) in [36]).
Finally, we will say that a function v defined in belongs to with and , if , and the norm here below is finite
The space is defined in a similar manner.
3. General Hypothesis
First, we state our general assumptions on the given data in the model. To this end, denoting
we designate the positive values and , such that the difference
is non-negative for all and .
We notice that the existence of these values is provided by Lemma 4 [14], and besides, some numerical examples of and are discussed in Remark 3.2 [33].
H1 (Conditions on the fractional order of the derivatives).
We assume that
H2 (Ellipticity conditions).
There are positive constants and , such that
for any
, and
for each .
H3 (Conditions on the coefficients).
For ,
H4 (Conditions on the given functions).
H5 (Compatibility conditions).
The following compatibility conditions hold for each and ,
H6 (Conditions on the nonlinearity).
We assume that the function g satisfies the local Lipschitz condition, i.e., for every there exists a positive constant such that
for any .
Moreover, there is a positive constant L such that
for any .
H7 (Conditions on the sign of the coefficient ).
We require that the function
retains its sing in
, i.e.,
If
is positive in
, we additionally assume that
and the relation holds
with a positive function having the same regularity as the function .
Moreover, we require that for each
It is worth noting that the assumption H7 on the sign of the function is needed only in the case of the nonlinear model (see Theorem 2), while the analysis of the linear model requires only the regularity of this function stated in H3.
Remark 1.
It is apparent that the simplest example of functions satisfying assumption H7 is
where and are given constants, and is negative if is negative, while in the case of positive (), the constant is related to via the relation .
Remark 2.
Thanks to Lemma 4.1 in [17], for any , the equality
holds for any . That explains the absence of the memory term in the compatibility condition H5.
4. Main Results
Now, we are ready to state our first main result related to the a priori estimates of a solution to problem (4)–(6) in the case of the linear equation which will be a significant point in the analysis of the nonlinear model as well as in the study of the existence of a strong solution to the corresponding linear problem.
Theorem 1.
Remark 3.
Theorem 2.
Remark 4.
The arguments of Section 7 in the case of negative provide that the results of Theorem 2 hold in the case of more general assumptions on the nonlinearity . Namely,
with non-negative constants and δ.
Finally, we assert the result which is a simple consequence of Theorem 1 and is related to the existence of a strong solution of linear version of (4)–(6).
Lemma 1.
Let , parameters satisfy the conditions of Theorem 1, and let assumptions H2–H3 hold. Moreover, we assume that the kernel meets requirement H4; compatibility condition H5 is fulfilled on , and
where , . Then for any fixed , the linear initial-boundary value problem (4)–(6) admits a unique strong solution in the class , satisfying estimate (8).
Indeed, in order to verify this statement, it is enough to construct an approximate solution via Theorem 4.1 in [32] (see Lemma 3 here as a reformulated result). Then, exploiting uniform estimates (8) for and passing to the limit via standard arguments, we obtain a strong solution to (4)–(6) satisfying the regularity established by Lemma 1. Finally, estimate (8) provides the uniqueness of this strong solution.
Remark 5.
We notice that some assumptions in Lemma 1 are not typical to the theory of the existence of strong solutions. Namely, it is related to the second equality in H5 and to the requirement of greater regularity (see (9)) of the right-hand sides than is demanded in estimate (8). The occurrence of these conditions is explained with our approach, which deals with obtaining the strong solution as a limit of the corresponding approximated smooth solutions given by Lemma 3. Recall that, in order to the smooth solutions exist in the indicated classes, both compatibility conditions in H5 are needed (see Theorem 4.1 [32]). Clearly, the additional regularity of the functions provides the fulfillment of the second equality in H5.
Remark 6.
Our assumption on the kernel admits the case , which means that the multi-term subdiffusion equation
fits in our analysis and is described by Theorems 1–2 and Lemma 1.
Remark 7.
Actually, with an inessential modification in the arguments, the results of Theorem 1 and Lemma 1 hold for the -term fractional equations:
In the case of the last equation, the regularity of the functions can be relaxed, namely, we assume that . The details are left to the interested readers.
The remaining of the paper is devoted to the proof of Theorems 1 and 2.
5. Technical Results
In this Section we present some properties of fractional derivatives and integrals as well as several technical results that will be used in this art. First, we begin with some definitions of fractional derivatives and integrals.
Throughout this work, for any , we denote (as we wrote before)
and define the fractional Riemann–Liouville integral and the derivative of the order , respectively, of a function with respect to time t as
where is the ceiling function of (i.e., the smallest integer is greater than or equal to ).
Clearly, for we have
Therefore, the Caputo fractional derivative of the order to a function can be given as
if both derivatives exist (see (2.4.8) [2]).
In the first proposition, which subsumes and partially generalizes (in particular, it concerns (iii) in the statement below) Propositions 4.1 and 4.2 from [18], we remind the reader of some useful properties of fractional integrals and derivatives.
Proposition 1.
The following relations hold.
- (i)
- Let , . Then for any function , there isIf, in addition, , and is any even integer, it is also true that
- (ii)
- Let θ be a positive number, and let be a bounded function on . Then
- (iii)
- Let , . Then the equality holds:
- (iv)
- For any given positive numbers and , the following equalities are fulfilled:
for any . The positive constant C depends only on T, and either if or if .
The next result describes the main properties of the function , where a kernel is completely monotonic and satisfies the following requirements.
H8.
For any (including ) and all , there holds
Moreover, for some
and , the following inequalities are fulfilled:
Clearly, the last inequality in H8 tells us that the kernel is a completely monotonic function.
Proposition 2.
Let assumption H8 hold. Then, for any functions and satisfying requirements
and
the following relations hold:
- (i)
- (ii)
- For any integer even there is
If, in addition, is non-negative, then this bound holds for integer odd p.
Proof.
First, we verify the point (i) of this assertion. It is worth noting that if and , this claim is proved in Lemma 1 [11] for any fixed . Here, we extend this result to the case of a more general kind of .
By the definition of a derivative, we have
Then, taking advantage of the easily verified representation
we arrive at the equality
Finally, keeping in mind H8 and the smoothness of the functions and , we end up with the desired equality.
Coming to the proof of point (ii) in this proposition, we first verify the cases of and . To this end, substituting
to the equality in (i) of this claim, we deduce the relations
Appealing to the complete monotonicity of and to the non-negativity of the function (if ), we immediately end up with the desired estimates for . Finally, taking advantage of these estimates and exploiting the induction, we complete the proof of (ii) for , and hence, the proof of Proposition 2. □
Introducing the new function
with we assert the following claim:
Corollary 1.
Let Then for any function , , and for each even integer , the inequality
holds for all . If additionally is non-negative, then this bound holds for any integer odd p.
Proof.
It is apparent that this statement is a simple consequence of Proposition 2 if meets requirement H8. In light of (10) and (12), the kernel satisfies the first four conditions in H8. Thus, we are left to check that is completely monotonic for all .
If and satisfy the assumption of this claim, then definitions of and provide the positivity of the function for all . Then, straightforward calculations arrive at the equality
Finally, appealing to the positivity of and bearing in mind the relation , we immediately obtain the non-negativity of the function . This finishes the proof of this corollary. □
The next assertion is related to the fractional differentiation of a product, the so-called one variant of the Leibniz rule in the case of fractional derivatives.
Corollary 2.
Let and . For , we assume that
- (i)
- either
- (ii)
- or with .
Then the equality
holds, and has the regularity
If, in addition, , then for any and all , the equality holds
with .
Proof.
First of all, we remark that under a stronger regularity on the function , representation (13) was proved in Corollary 3.1 [37]. Here, we just extend this result to the case of a weaker assumption on the . Namely, we require that belongs to either or .
Appealing to the definition of the Caputo fractional derivative and taking into account the smoothness of functions and , we easily conclude that
After that, performing differentiation in the last integral arrives at the desired equality. Coming to the smoothness of the function , it is a simple consequence of the obtained representation (13) and the regularity of and .
Obviously, relation (14) is a simple consequence of (13) and (11). Indeed, in virtue of , we can rewrite (13) as
Finally, computing the fractional integral of both sides in this equality and taking into account Proposition 2.2 in [2] and semigroup property to the fractional Riemann-Liouville integral, we end up with (14). This completes the verification of this corollary. □
We now state and prove some inequalities that will be needed to prove estimate (8) in Section 6.2. First, we introduce the function
where , and are some given functions whose smoothness provides the boundedness of the singular integral in (15).
Lemma 2.
Let arbitrarily fixed and . We assume that and . Then, there are the following inequalities:
- (i)
- where is the positive constant in the Young inequality for a convolution (see [38]).
- (ii)
- where .
- (iii)
- If, for any and we additionally assume that and for all . Then, for any small , the estimates hold:Hereand is the constant in the Gagliardo–Nirenberg inequality.
Proof.
The inequalities in point (i) are verified with straightforward calculations, where we exploit the Young inequality for a convolution and relations in (iv) of Proposition 1.
Concerning point (ii), this estimate is a simple consequence of the easily verified inequality
and the Young inequality for a convolution.
As for the verification of the first inequality in (iii), bearing in mind restrictions on and appealing to the embedding Theorem (see (1.4.4.6) in [35]), we conclude that and
Collecting (15), (16) with the homogeneous initial data of and (15) allows us to apply Theorem 3.1 [37] and deduce the equality
Next, taking advantage of this representation to compute norm of and performing standard technical calculations, we have
Finally, straightforward calculations and inequality (16) arrive at the desired bound.
Consecutive application of formula (3.5.4) in [2] to the difference Young inequality for a convolution and, finally, the first inequality in (iii) of this claim provides the estimate
for any . Finally, using this bound and the Young inequality to manage the term , we arrive at the first estimate in (iii).
Coming to the second inequality in (iii), the Gagliardo–Nirenberg and Cauchy inequalities lead to the bound
for any , which together with Jensen’s inequality to a sum, in turn, provides
After that, choosing and applying (17) to control the second term in the right-hand side of the inequality above, we immediately end up with
Finally, collecting this estimate with the first inequality in (i) yields the estimate in (iii). This completes the proof of Lemma 2. □
Remark 8.
It is worth noting that repeating the arguments leading to the first bound in (iii) of Lemma 2 arrives at the following inequalities in the case of :
with being defined in (ii) of Lemma 2.
Finally, for convenience, we remind the reader of the result related to the global classical solvability of the linear problem corresponding to (4)–(6). The result, written as a lemma, is obtained in our previous work [32] (see Theorem 4.1 there) and will be exploited in Section 7 to prove the one-valued solvability of the nonlinear model (4)–(6).
Lemma 3.
Let be any fixed, , , and let . We assume that assumptions H2–H5 hold. Then, linear equation (4) with the initial condition (5), subject to the Dirichlet boundary condition (6), has a unique classical solution in , possessing the regularity . This solution fulfills the estimate
The generic constant C is independent of the right-hand sides of (4)–(6).
6. Proof of Theorem 1
We start the proof of Theorem 1 with estimating a solution in the space . On this route, we collect certain results from Section 5.1 in [18] and from Sections 2 and 4 in [23]. The second part of this Section is devoted to obtaining the estimate of u in the Hölder spaces.
6.1. Estimate of
We first study in detail the special case where and , i.e., (5) and (6) are replaced by the simpler conditions
In a farther step, we will discuss how to come from the general case to this special one. Here, we will follow the strategy consisting in two main steps. The first one is related to obtaining the estimate in a small time interval . On the second step, we discuss the extension of this estimate to the interval .
Step 1. Let be specified below. Keeping in mind the regularity of and (see assumption H3), we apply Corollary 2 to the first two terms in the left-hand side of (4) and rewrite this equation in more suitable form:
After that, Proposition 4.4 in [18], where we set
and the point (iii) of Proposition 1 allow us to remove the term from the equation above. Hence, we have
where denoting the conjugate kernel to by (see its properties in Proposition 4.4 [18]), we put
Then, bearing in mind assumptions H2 and H3, we take advantage of Theorem 2.3 in [23] to problem (18), (19) and conclude that
where the positive constant depends only on the Lebesgue measure of , T and the norms of the coefficients and , .
At this point, setting and , we examine each term in the right-hand side of (20), separately.
• Keeping in mind assumptions H2, H3 and the homogeneous initial condition, we can exploit estimates in (iii) of Lemma 2 (with , ) and deduce the estimates
with a some quantity satisfying inequalities .
After that, standard calculations and estimate (17) lead to
Collecting all these bounds, we end up with
where
• Obviously, the Young inequality for a convolution and assumptions (H2), (H4) provide
Here, we appeal to the fact that is the conjugate kernel to (see Proposition 4.4 in [18]), and thus
• As for terms they are examined with inequalities in (iii) of Lemma 2 and the bound (21). Hence, we have for any small (which will be specified below)
where
• Concerning the terms and , we apply the point (ii) of Lemma 2 and (21) to deduce
Then, to estimate , we use the first inequality in (iii) of Lemma 2 and arrive at
with the positive constant
• Finally, the term is evaluated via (i) and (iii) of Lemma 2. Thus, we obtain
where
Collecting relation (20) with estimates of , and choosing and satisfying inequalities
we end up with bounds
It is worth noting that, in light of the relation between and n, the second estimate is a simple consequence of the first inequality in (22) and the embedding Theorem (see Theorem 1.4.33 and (1.4.4.6) in [35] and also p. 818 in [23]).
Step 2: Extension of estimate (22) to whole time interval. First of all, we discuss the technique which allows us to extend estimate (22) to interval . After that, we recast this procedure a finite number of times until the entire is exhausted. Hence, estimating the first term in the left-hand side of (8) is completed under additional assumption (18). To this end, we introduce a new function
and define the function which solves the initial-boundary value problem
Bearing in mind that the function solves problem (4), (18) and satisfies estimate (22) for , we exploit Theorem 2.3 [23] and Lemma 2, and assert the following result.
Corollary 3.
The following relations hold:
with constants C and being independent of .
Finally, introducing new unknown function
and then the new time variable
in problem (4), (18), we recast arguments of Section 6.3 in [32] and deduce
and, besides,
Here, we put
and we call the operators with the bar coefficients. It is easy to verify that the coefficients of the operators and , meet the requirements of Theorem 1.
Then, recasting the arguments leading to (22) (see Step 1 in this subsection), we deduce
Collecting this estimate with Corollary 3 and the representation of the function u, we arrive at the inequality
which in turn tells us that we extended inequality (22) from to . It is worth noting that the constant C in this estimate is independent of .
Thus, we finished the evaluation of the first term in the left hand-side of (8) for under assumption (18).
Step 3: Removing restriction (18). To this end, we look for a solution of (4)–(6) in the form
where solves the Cauchy–Dirichlet problem to the homogeneous subdiffusion equation
while is a solution of problem (4), (18) with the new right-hand side in the equation
After that, applying Theorem 2.3 [23] and Lemma 2 to problem (25) and recasting the arguments leading to estimates of and (see Step 1 in this subsection) provide the following relations:
Accordingly, we can repeat the whole argument of Steps 1–2, so drawing the estimate of the first term in the left hand-side of (8) to the function . As a byproduct, is the solution satisfying the corresponding estimate in (8) in the general case
We notice that the bound of is a simple consequence of estimate (21) and Remark 8.
6.2. Conclusion of the Proof of Theorem 1
To complete the proof of this theorem, we are left to obtain the estimate of the corresponding Hölder seminorms to u. We remark that the verification of this estimate follows from Theorem 4.1 in [23] and (26).
For this purpose, it is enough to examine the initial-boundary value problem in the case of homogeneous initial and boundary conditions (18). Namely, in order to convert the general case to this special one, we repeat arguments of Step 3 in Section 6.1 and take advantage of Theorem 4.1 in [23]. Coming to problem (4), (18), we again rewrite equation (4) in the form of (19) and then apply Theorem 4.1 [23] with to problem (19), (18). Thus, we obtain
Here, to control the term , we use (26) with . Then, to evaluate , we recast the arguments of Step 1 of Section 6.1 with and then exploit (26). Thus, we end up with
with the positive C depending only on , and , and the corresponding norms of and of the coefficients of the operators .
At last, collecting this estimate with (27) yields
7. Proof of Theorem 2
Here, we proceed with a detailed proof of this Theorem in the case of homogeneous initial and boundary conditions, i.e., (18). Indeed, to convert the general case to this special one, we take advantage of Remark 3.1 in [18] and Lemma 3 to the linear model for the unknown function ,
and we obtain the existence of a unique solution satisfying the bound
Here, we used assumption H6 and Remark 3.1 [18] to handle the term .
Then, we search a solution of the original problem (4)–(6) in the form
where the unknown function is a solution of the problem
Here, we set
Remark 9.
Assumption (H6) and the estimates of v readily provide the following inequalities for the functions F and G:
and for all and ,
with
Moreover, the straightforward calculations and the definition of the function v arrive at the equalities
Hence, the last relations mean that the compatibility conditions hold in problem (29).
As a result, Theorem 2 should be proved only in the case of homogeneous initial and boundary conditions, i.e., for problem (29).
To this end, we exploit the so-called continuation argument, similar to the case of subdiffusion equations with a single-term fractional derivative (i.e., if and ) described in our previous work [18]. This approach is related to the analysis of the family of problems for :
Let (30) be solvable on for any . Clearly, for problems (30) transform to the linear problem studied in [32]. Thus, keeping in mind assumptions H1–H5 and Remark 9, we can apply Lemma 3 to (30) with and deduce the global classical solvability in the corresponding classes. Therefore, . Then, we have to check that the set is open and closed at the same time. On this step, we use the essential arguments described in Section 5.3 [18] (i.e., in the case of the equation with a single-term fractional derivative in time). Hence, in our consideration here, we restrict ourselves to a detailed description of only the differences in the proof, which emphasize the difficulties involved in the multi-term fractional derivatives (in general with a non-positive kernel ). We preliminarily observe that these peculiarities are related to producing a priori estimates for the solutions to (30) in and , uniformly as , and are stated in the following lemma. The proof of this claim is provided in Section 7.1.
Lemma 4.
Finally, exploiting Lemma 4 and Theorem 1 (in particular, the estimate in (8)) and recasting step-by-step the arguments of Section 5.2 in [18], we complete the proof of Theorem 2.
Thus, we are left to verify statements in Lemma 4.
7.1. Proof of Lemma 4: Verification of Estimates in (31)
First, we remark that the second estimate in (31) is verified with the standard Schauder technique and by means of Lemma 3, Remark 9 and the estimate of in (31). Hence, to prove Lemma 4, we are left to produce the first inequality in (31). We proceed here with a detailed proof of this estimate in the case of the positive function . This means that the second fractional derivative in time may have a negative kernel. Another case is simpler and is examined either in the similar manner or with arguments from Section 5.1 in [18].
Here, contrary to the case of a single-term fractional derivative in time (see arguments in Lemma 5.2 [18]) we first estimate the maximum of in a small time interval. It is worth noting that, in the case of negative , this estimate is obtained straight on the whole time interval .
Namely, on the first step, exploiting the integral iteration technique adapted to the case of multi-term fractional derivatives, we obtain the bound
for each fixed , .
The second stage deals with the extension of (32) to the whole time interval .
Step 1: Estimates of . Recasting the arguments of Step 1 of Section 6.1 leading to representation (19), we rewrite the equation in (30) in the form
where we set
while are defined in (19). Collecting equalities (11) (where ) and (12) with assumption H7, we deduce that
Then, taking into account this equality and multiplying (33) by with and then integrating over , we arrive at the inequality (after standard technical calculations with appealing to H2)
To handle the first two terms in the left-hand side of this estimate, we use Corollary 1 and statement (i) in Proposition 1, respectively, and we deduce
Then, taking into account the definition of , Proposition 2.2 in [2] and keeping in mind (14), we compute the fractional integral of both sides in this inequality. Hence, we end up with
where
We recall that
At this point, we evaluate each term , separately.
• It is worth noting that, the terms are examined with arguments leading to (5.8), (5.10) and (5.11) in [18]. Thus, taking into account Remark 9 and assumptions H2, H3, H7, we immediately achieve the estimate
• As for and , we pre-observe that the bound of is the same as the one of . Applying the Young inequality to the function and then collecting Proposition 1 with the smoothness of , and , we end up with
where the positive constant C depends only on T, , , and the corresponding norms of and .
• By assumption H7, we immediately conclude that
In particular, the last inequality arrives at the estimate
Now, collecting the estimates of with the relation
we conclude that
In order to evaluate the integral , we appeal to the first interpolation inequality in Proposition 4.6 [18] with . Hence, we have
Exploiting the Gronwall inequality (see Proposition 4.3 [18]) arrives at
for any , where we set
while is the classical Mittag–Leffler function of the order (see its definition in (2.2.4) [39]).
After that, applying this estimate to handle the last term in the right-hand side of (35) and then taking into account formula (3.7.44) in [39] to compute the fractional integral of the Mittag–Leffler function, we obtain
At last, denoting
with , we derive the bound
At this point, we discuss two possibilities:
- (i)
- either ,
- (ii)
- or .
Clearly, in the case (i), passing to the limit as in (36), we end up with the desired estimate. Conversely, if (ii) holds, then
and letting and having in mind the convergence of the series, we deduce that
Finally, to control the term , we first put in (34) and then apply the Gronwall inequality (4.3) in [18] (where we set ). As a result, taking into account assumption H2, we end up with the desired estimate (32) and, hence, the second inequality in (31) for each .
Step 2: Extension of estimate (32) to the whole time interval. To this end, we modify the arguments of Step 2 in Section 6.1. Indeed, setting there (see (23) and (24))
we designate as a solution of the linear problem
Then, appealing to relations (38), we apply Theorem 4.1 in [32] to problem (37) and end up with the one-valued classical solvability of this problem such that
After that, we introduce new unknown function
satisfying relations
where we set
By virtue of (38) and (39), we deduce that
Moreover, the estimate
holds, and has the properties of (see Remark 9).
At last, introducing new variable
and performing the change of variable in (40) (that is similar to Step 2 in Section 6.1), and then recasting the arguments of Step 1 in this subsection, we arrive at estimate (31) for . Finally, repeating this procedure a finite number of times, we exhaust the entire , which proves estimate (31) if for any fixed .
8. Conclusions
In this art, we discuss the initial-boundary value problem to linear and semilinear multi-term fractional subdiffusion equations with memory terms. We establish sufficient conditions on the order of the fractional derivatives and given parameters in the model, ensuring the well-posedness of these problems in fractional Sobolev and Hölder spaces. The particular case of the studied problems models the oxygen transport through capillaries [4]. Thus, our analytical technique and ideas can be incorporated to study the corresponding inverse problems concerning to identification of the unknown parameters (e.g., the time lag in concentration of oxygen along capillaries, the order of oxygen subdiffusion and so on). On the other hand, our approach can be generalized and employed in order to research linear and nonlinear degenerate subdiffusion equations with multi-term fractional derivatives. These issues will be addressed with possible further research.
Funding
This work was partially supported by The European Federation of Academy of Sciences and Humanities (ALLEA) under grants EFDS-FL2-08.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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