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Initial-boundary value and inverse problems for subdiffusion equations in ℝ^N

Authors:
  • Институт математики Академии Наук Республики Узбекистан
Fracti onal
Differential
Calculus
Volume 10, Number 2 (2020), 291–306 doi:10.7153/fdc-2020-10-18
INITIAL–BOUNDARY VALUE AND INVERSE
PROBLEMS FOR SUBDIFFUSION EQUATIONS IN RN
RAVSHAN ASHUROV AND RAKHIM ZUNNUNOV
(Communicated by A. Pskhu)
Abstract. An initial-boundary value problem for a subdiffusion equation with an elliptic oper-
ator A(D)in RNis considered. The existence and uniqueness theorems for a solution of this
problem are proved by the Fourier method. Considering the order of the Caputo time-fractional
derivative as an unknown parameter, the corresponding inverse problem of determining this order
is studied. It is proved, that the Fourier transform of the solution ˆu(
ξ
,t)at a xed time instance
recovers uniquely the unknown parameter. Further, a similar initial-boundary value problem is
investigated in the case when operator A(D)is replaced by its power A
σ
. Finally, the existence
and uniqueness theorems for a solution of the inverse problem of determining both the orders of
fractional derivatives with respect to time and the degree
σ
are proved. We also note that when
solving the inverse problems, a decrease in the parameter
ρ
of the Mittag-Lefer functions E
ρ
has been proved.
1. Introduction and main results
The theory of differential equations with fractional derivatives has gained signi-
cant popularity and importance in the last few decades, mainly due to its applications
in many seemingly distant elds of science and technology (see, for example, [1]–[6]).
One of the most important time-fractional equations is the subdiffusion equation,
which models anomalous or slow diffusion processes. This equation is a partial integro-
differential equation obtained from the classical heat equation by replacing the rst-
order derivative with a time-fractional derivative of order
ρ
(0,1).
When considering the subdiffusion equation as a model equation in the analysis of
anomalous diffusion processes, the order of the fractional derivative is often unknown
and difcult to measure directly. To determine this parameter, it is necessary to in-
vestigate the inverse problems of identifying these physical quantities based on some
indirectly observable information about solutions (see a survey paper Li, Liu and Ya-
mamoto [7]).
In this paper, we investigate the existence and uniqueness of solutions to initial-
boundary value problems for subdiffusion equations with the Caputo derivative and
an elliptic operator A(D)in RN, having constant coefcients. Inverse problems of
Mathematics subject classication (2010): Primary 35R11; Secondary 74S25.
Keywords and phrases: Subdiffusion equation, Caputo derivatives, inverse and initial-boundary value
problem, determination of order of derivatives, Fourier method.
c
,Zagreb
Paper FDC-10-18 291
292 R. ASHUROV AND R. ZUNNUNOV
determining the order of the fractional derivative with respect to time and with respect
to the spatial variable will also be investigated.
Let us proceed to a rigorous formulation of the main results of this article.
1. Let A(D)=
|
α
|=m
a
α
D
α
be a homogeneous symmetric elliptic differential ex-
pression of even order m=2l, with constant coefcients, i.e. A(
ξ
)>0, for all
ξ
=0,
where
α
=(
α
1,
α
2,...,
α
N)- multi-index and D=(D1,D2,...,DN),Dj=1
i
xj,i=
1.
The fractional integration in the Riemann-Liouville sense of order
ρ
<0ofa
function hdened on [0,)has the form
ρ
th(t)= 1
Γ(
ρ
)
t
0
h(
ξ
)
(t
ξ
)
ρ
+1d
ξ
,t>0,
provided the right-hand side exists. Here Γ(
ρ
)is Euler’s gamma function. Using this
denition one can dene the Caputo fractional derivative of order
ρ
,0<
ρ
<1, as
D
ρ
th(t)=
ρ
1
t
d
dt h(t).
Note that if
ρ
=1, then fractional derivative coincides with the ordinary classical
derivative of the rst order: Dth(t)= d
dt h(t).
Let
ρ
(0,1]be a given number and L
τ
2(RN)stand for the Sobolev classes (see
the denition in the next section). Consider the initial-boundary value problem: nd a
function u(x,t)Lm
2(RN),t[0,T), such that (note that this inclusion is considered
as a boundary condition at innity)
D
ρ
tu(x,t)+A(D)u(x,t)=0,xRN,0<t<T,(1)
u(x,0)=
ϕ
(x),xRN,(2)
where
ϕ
(x)is a given continuous function.
We call problem (1)–(2)the forward problem.
We draw attention to the fact, that in the statement of the forward problem the
requirement u(x,t)Lm
2(RN)is not caused by the merits. However, on the one hand,
the uniqueness of just such a solution is proved quite simply, and on the other, the
solution found by the Fourier method satises the above condition.
DEFINITION 1. A function u(x,t)C(RN×[0,T)) with the properties
D
ρ
tu(x,t)and A(D)u(x,t)C(RN×(0,T))
and satisfying conditions (1)–(2) is called the classical solution (or simply, the solution)
of the forward problem.
INITIAL-BOUNDARYVALUE AND INVERSE PROBLEMS 293
Let us denote by E
ρ
(t)the Mittag-Lefer function of the form
E
ρ
(t)=
k=0
tk
Γ(
ρ
k+1),
and denote by ˆ
f(
ξ
)the Fourier transform of a function f(x)L2(RN):
ˆ
f(
ξ
)=(2
π
)N
RN
f(x)eix
ξ
dx.
Now we can formulate the existence and uniqueness theorem for the forward prob-
lem.
THEOREM 1. Let
τ
>N
2and
ϕ
L
τ
2(RN). Then the forward problem has a
unique solution and this solution has the form
u(x,t)=
RN
E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)eix
ξ
d
ξ
.(3)
The integral uniformly and absolutely converges with respect to x RNand for each
t[0,T). Moreover, solution (3) has the property
lim
|x|→D
α
u(x,t)=0,|
α
|m,0<t<T,(4)
In recent years, many works by specialists have appeared in which various initial-
boundary value problems for various subdiffusion equations are investigated. Let us
mention only some of these works. Basically, the case of one spatial variable xRand
subdiffusion equation with “the elliptical part” uxx were considered (see, for example,
handbook Machado, editor [1], book of A. A. Kilbas et al. [3] and monograph of A. V.
Pskhu [8], and references in these works). The paper Goreno, Luchko and Yamamoto
[9] is devoted to the study of subdiffusion equations in Sobelev spaces. In the paper by
Kubica and Yamamoto [10], initial-boundary value problems for equations with time-
dependent coefcients are considered. In the multidimensional case (xRN), instead
of the differential expression uxx , authors considered either the Laplace operator ([3],
[11]–[13]) or pseudodifferential operators with constant coefcients in the whole space
RN(Umarov [14]). In the last work the initial function
ϕ
Lp(RN)is such, that the
Fourier transform ˆ
ϕ
is compactly supported. The authors of the recent paper [15]
considered initial-boundary value problems for subdiffusion equations with arbitrary
elliptic differential operators in bounded domains.
2. Determining the correct order of an equation in applied fractional modeling
plays an important role. The corresponding inverse problem for subdiffusion equations
has been considered by a number of authors (see a survey paper Li, Liu and Yamamoto
[7] and references therein, [16]–[22]). Note that in all known works the subdiffusion
equation was considered in a bounded domain ΩRN. In addition, it should be noted
294 R. ASHUROV AND R. ZUNNUNOV
that in publications [16]–[19] the following relation was taken as an additional condi-
tion
u(x0,t)=h(t),0<t<T,(5)
at a monitoring point x0Ω. But this condition, as a rule (an exception is the work
[19] by J. Janno, where both the uniqueness and existence are proved), can ensure
only the uniqueness of the solution of the inverse problem [16]–[18]. The authors
of the article Ashurov and Umarov [20] considered the value of the projection of the
solution onto the rst eigenfunction of the elliptic part of the subdiffusion equation
as additional information. Note that the results from [20] are only applicable when
the rst eigenvalue is zero. The uniqueness and existence of an unknown order of
the fractional derivative in the subdiffusion equation were proved in the recent work of
Alimov and Ashurov [21]. In this case, the additional condition is ||u(x,t0)||2=d0,and
the boundary condition is not necessarily homogeneous. The authors of the article [22]
investigated the inverse problem for the simultaneous determination of the order of the
Riemann-Liouville time fractional derivative andthe source function in the subdiffusion
equations.
In what follows, we will assume that the initial function
ϕ
belongs to the class
L
τ
2(RN)with
τ
>N
2. Then, by Theorem 1, the forward problem has a unique solution
of the form (3)forany
ρ
(0,1].
Let us consider the order of fractional derivative
ρ
in equation (1) as an unknown
parameter. To formulate our inverse problem we will additionally assume that
ϕ
(x)
L1(RN). This implies that both functions ˆ
ϕ
(
ξ
)and ˆu(
ξ
,t)=E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
),t
[0,T), are continuous in the variable
ξ
RN.Letusx a vector
ξ
0=0, such that
ˆ
ϕ
(
ξ
0)=0 and put
λ
0=A(
ξ
0)>0. To determine the order
ρ
we use the following
extra data:
U(t0,
ρ
)≡|ˆu(
ξ
0,t0)|=d0,(6)
where t0,0<t0<T,isaxed time instant.
The problem (1)–(2) together with extra condition (6) is called the inverse problem.
To solve the inverse problem x the number
ρ
0(0,1)and consider the problem
for
ρ
[
ρ
0,1].
DEFINITION 2. The pair {u(x,t),
ρ
}of the solution u(x,t)to the forward prob-
lem and the parameter
ρ
[
ρ
0,1]is called the classical solution (or simply, the solution)
of the inverse problem.
The following property of the Fourier transform ˆu(
ξ
,t)of the forward problem’s
solution plays an important role in the solution of the inverse problem and, in our opin-
ion, is of independent interest.
LEMMA 1. Fo r
ρ
0from the interval 0<
ρ
0<1, there is a number T0=T0(
λ
0,
ρ
0)
such that for all t0,T
0t0<T , the function U (t0,
ρ
)decreases monotonically with
respect to
ρ
[
ρ
0,1].
The result related to the inverse problem has the form.
INITIAL-BOUNDARYVALUE AND INVERSE PROBLEMS 295
THEOREM 2. Let T0t0<T . Then the inverse problem has a unique solution
{u(x,t),
ρ
}if and only if
e
λ
0t0d0
|ˆ
ϕ
(
ξ
0)|E
ρ
0(
λ
0t
ρ
0
0).(7)
3. Finally, we will consider another inverse problem of determining both the orders
of fractional derivatives with respect to time and the spatial derivatives in the subdiffu-
sion equations.
For the best of our knowledge, only in the following two papers [23]and[24]such
inverse problems were studied and only the uniqueness theorems ware proved (note that
the uniqueness is a very important property of a solution from an application point of
view). In the paper [23] by Tatar and Ulusoy it is considered the initial-boundary value
problem for the differential equation
ρ
tu(t,x)=(−)
σ
u(t,x),t>0,x(0,1),
where
σ
is the one-dimensional fractional Laplace operator,
ρ
(0,1)and
σ
(1/4,1). The authors have proved that if the initial function
ϕ
(x)is sufciently smooth
and all its Fourier coefcients are positive, then the two-parameter inverse problemwith
additional information (5) may have only one solution. As for physical backgrounds for
two-parameter differential equations, see, for example, [25].
In [24], M. Yamamoto provedthe uniqueness theorem for the above two-parameter
inverse problem in an N-dimensional bounded domain Ωwith a smooth boundary
Ω. The conditions for the initial function found in this work are less restrictive, for
example, if
ϕ
is zero on
Ω,
ϕ
L
τ
2(Ω),
τ
>N/2,
ϕ
0inΩand
ϕ
(x0)=0, then
the uniqueness theorem is true.
Let us denote by Aan operator in L2(RN)with the domain of denition D(A)=
C
0(RN), acting as Af(x)=A(D)f(x). It is easy to verify that the closure ˆ
Aof operator
Ais nonnegative and selfadjoint. Therefore, by virtue of the von Neumann theorem,
for any
σ
>0, we can introduce the degree of the operator ˆ
Aas
ˆ
A
σ
f(x)=
0
λσ
dP
λ
f(x)=
RN
A
σ
(
ξ
)ˆ
f(
ξ
)eix
ξ
d
ξ
,
where projectors P
λ
dened as
P
λ
f(x)=
A(
ξ
)<
λ
ˆ
f(
ξ
)eix
ξ
d
ξ
.
The domain of denition of this operator is determined from the condition ˆ
A
σ
f(x)
L2(RN)and has the form
D(ˆ
A
σ
)={fL2(RN):
RN
A2
σ
(
ξ
)|ˆ
f(
ξ
)|2d
ξ
<}.
296 R. ASHUROV AND R. ZUNNUNOV
Suppose that
ρ
(0,1]and
σ
(0,1]are given numbers and consider the initial-
boundary value (the second forward) problem: nd a function v(x,t)D(ˆ
A
σ
)such
that (note that this inclusion is also considered as a boundary condition)
D
ρ
tv(x,t)+ ˆ
A
σ
v(x,t)=0,xRN,0<t<T,(8)
v(x,0)=
ϕ
(x),xRN,(9)
where
ϕ
(x)is a given function and as mentioned above, we assume
ϕ
L
τ
2(RN)for
some
τ
>N
2.
The solution to this problem is dened similarly to the solution to problem (1)–(2)
(see Denition 1). In exactly the same way as Theorem 1, it is proved that the unique
solution of the second forward problem has the form
v(x,t)=
RN
E
ρ
(A
σ
(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)eix
ξ
d
ξ
,(10)
where the integral uniformly and absolutely converges in xRNand for each t
[0,T).
Now let
ρ
0>0and
σ
0>0bexed numbers and assume, that in the second for-
ward problem, the parameters
ρ
[
ρ
0,1]and
σ
[
σ
0,1]are unknown. Since there are
two unknown numbers, then one obviously needs two extra conditions. To formulate
these conditions, we again assume that
ϕ
L1(RN). Then both functions ˆ
ϕ
(
ξ
)and
ˆv(
ξ
,t)are continuous in
ξ
. It should be noted, that the proposed in this paper method,
for simultaneously nding both the order of fractional differentiation
ρ
and the power
σ
is applicable if there exists
ξ
0
ΩA≡{
ξ
RN;A(
ξ
)=1}, such that ˆ
ϕ
(
ξ
0)=0.
Note, that if A(D)is the Laplace operator, then
ΩAis the N-dimensional unit sphere.
Let
ξ
0be one of such a vector. We consider the following information as additional
conditions:
V(
ξ
0,t0,
ρ
,
σ
)=|ˆv(
ξ
0,t0)|=d0,t0T0(1,
ρ
0),(11)
V(
ξ
1,t1,
ρ
,
σ
)=|ˆv(
ξ
1,t1)|=d1,A(
ξ
1)=
λ
1(=1)Λ1,t11,(12)
where T0is dened in Lemma 1,
ξ
1is such that ˆ
ϕ
(
ξ
1)=0andΛ1is denedin(27).
We call the problem (8)–(9) together with extra conditions (11)and(12)the second
inverse problem.
Note that since
ξ
0
ΩA,then V(
ξ
0,t0,
ρ
,
σ
)is actually independent of
σ
:
V(
ξ
0,t0,
ρ
,
σ
)=|E
ρ
(A
σ
(
ξ
0)t
ρ
0)ˆ
ϕ
(
ξ
0)|=|E
ρ
(t
ρ
)ˆ
ϕ
(
ξ
0)|.
Therefore, to solve the second inverse problem, we rst nd the unique
ρ
that satises
the relation (11). Then, assuming that
ρ
is already known and using the relation (12),
we nd the second unknown parameter
σ
. It should be noted that the number Λ1
from condition (12) depends on
σ
0and
ρ
.
INITIAL-BOUNDARYVALUE AND INVERSE PROBLEMS 297
THEOREM 3. There is a unique
ρ
[
ρ
0,1], satisfying (11), if and only if d0
satises the inequalities (7) with
λ
0=1.For
σ
[
σ
0,1]to exist, it is necessary and
sufcient that d1satisfy the inequalities
E
ρ
(
λ
1t
ρ
1)d1
|ˆ
ϕ
(
ξ
1)|E
ρ
(
λσ
0
1t
ρ
1).(13)
REMARK 1. As Theorems 2and 3show, in order for the inverse problems to have
solutions, the domain (0,T), where the equations are satised, must be large enough.
In conclusion, note that the theory and applications of various inverse problems,
on determining the coefcients of the equation, the right-hand side, and also on deter-
mining the initial or boundary functions for differential equations of integer order are
discussed in Kabanikhin [26] (see also references therein) Similar inverse problems for
fractional-order equations were considered, for example, in the works [27]–[31].
2. Forward problems
In the present section we prove Theorems 1and the equation (10).
The class of functions L2(RN)which for a given xed number a>0makethe
norm
||f||2
La
2(RN)=
RN
(1+|
ξ
|2)a
2ˆ
f(
ξ
)eix
ξ
d
ξ
2
L2(RN)=
RN
(1+|
ξ
|2)a|ˆ
f(
ξ
)|2d
ξ
nite is termed the Sobolev class La
2(RN).Sincefor
τ
>0 and some constants c1and
c2one has the inequality
c1(1+|
ξ
|2)
τ
m1+A2
τ
(
ξ
)c2(1+|
ξ
|2)
τ
m,(14)
then D(ˆ
A
τ
)=L
τ
m
2(RN).
Let Ibe the identity operator in L2(RN).Operator (ˆ
A+I)
ν
is denedinthesame
way as operator ˆ
A
σ
.
Proof of Theorem 1.The existence of a solution to the forward problem is based
on the following lemma (see M. A. Krasnoselski et al. [32], p. 453); for the operator ˆ
A
this lemma is a simple consequence of the Sobolev embedding theorem.
LEMMA 2. Let a multi-index
α
be such that |
α
|m and
ν
>|
α
|
m+N
2m. Then the
operator D
α
(ˆ
A+I)
ν
continuously maps from L2(RN)into C(RN)and moreover the
following estimate holds true
||D
α
(ˆ
A+I)
ν
f||C(RN)C||f||L2(RN).(15)
Proof. For any a>N/2 one has the Sobolev embedding theorem: La
2(RN)
C(RN),thatis
||D
α
(ˆ
A+I)
ν
f||C(RN)C||D
α
(ˆ
A+I)
ν
f||La
2(RN).
298 R. ASHUROV AND R. ZUNNUNOV
Therefore, it is sufcient to prove the inequality
||D
α
(ˆ
A+I)
ν
f||La
2(RN)C||f||L2(RN).
But this is a consequence of the estimate
RN|ˆ
f(
ξ
)|2|
ξ
|2|
α
|(1+A(
ξ
))2
ν
(1+|
ξ
|2)ad
ξ
C
RN|ˆ
f(
ξ
)|2d
ξ
,
that is valid for N
2<a
ν
m−|
α
|.
To prove the existence of the forward problem’s solution we remind the following
estimate of the Mittag-Lefer function with a negative argument (see, for example, [6],
p. 29)
|E
ρ
(t)|C
1+t,t>0.(16)
Let a sequence {Ωk}
k=1of domains ΩkRNhave the following two properties:
1) closure Ωk=Ωk
Ωkof Ωkis contained in Ωk+1:
ΩkΩk+1;
2) the union of all Ωklls the entire space RN:
k=1
Ωk=RN.
Consider the truncated integral
Sk(x,t)=
Ωk
E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)eix
ξ
d
ξ
.(17)
Step 1.It is not difcult to verify that for any kfunction Sk(x,t)satises equation
(1) and the initial condition (2) (see, for example, [6], page 173 and [33]). From the
Sobolev embedding theorem and the condition
ϕ
L
τ
2(RN),
τ
>N
2, it follows that
ϕ
C(RN).
Step 2.In accordance with Denition 1, we will show that for the function (3) one
has A(D)u(x,t)C(RN×(0,T)).
Let |
α
|m,
τ
>N
2and
ν
=1+
τ
m>|
α
|
m+N
2m.Then
Sk(x,t)=(ˆ
A+I)
τ
/m1
Ωk
(A(
ξ
)+1)
τ
/m+1E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)eix
ξ
d
ξ
.
Therefore by virtue of Lemma 2one has
||D
α
Sk(x,t)||2
C(RN)
=
D
α
(ˆ
A+I)
τ
/m1
Ωk
(A(
ξ
)+1)
τ
/m+1E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)eix
ξ
d
ξ
2
C(RN)
C
Ωk
(A(
ξ
)+1)
τ
/m+1E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)eix
ξ
d
ξ
L2(RN)
.
INITIAL-BOUNDARYVALUE AND INVERSE PROBLEMS 299
Using the Parseval equality, we will have
||D
α
Sk(x,t)||2
C(RN)C
Ωk
(A(
ξ
)+1)
τ
/m+1E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)
2d
ξ
.
Applying the inequality (16)gives |(A(
ξ
)+1)E
ρ
(A(
ξ
)t
ρ
)|C(1+t
ρ
). Therefore,
||D
α
Sk(x,t)||2
C(RN)C(1+t
ρ
)2
Ωk
(A(
ξ
)+1)
τ
/mˆ
ϕ
(
ξ
)
2d
ξ
C(1+t
ρ
)2||
ϕ
||2
L
τ
2(RN).
This implies uniform (and absolute) in xRNconvergence of the differentiated integral
(3)inthevariables xjfor each t(0,T).
Step 3.If
α
=0, then taking
ν
=
τ
mand applying the inequality (16), we establish
uniform (and absolute) convergence of the integral (3) (hence, the continuity of the
solution) in the domain t[0,T):
||Sk(x,t)||2
C(RN)C
Ωk
(A(
ξ
)+1)
τ
/mE
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)
2d
ξ
C
Ωk
(A(
ξ
)+1)
τ
/mˆ
ϕ
(
ξ
)
2d
ξ
C||
ϕ
||2
L
τ
2(RN).
Step 4.Further, from equation (1)wegetD
ρ
tSk(x,t)=A(D)Sk(x,t). Therefore,
proceeding the above reasoning, we arrive at D
ρ
tu(x,t)C(RN×(0.T)).
Step 5.The inclusion u(x,t)Lm
2(RN)for all t(0,T), is a consequence of the
condition
ϕ
L2(RN). Indeed, using inequalities (14)and(16) we arrive at
||D
α
Sk(x,t)||2
L2(RN)=
Ωk
ξα
E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)
2d
ξ
C
Ωk
A(
ξ
)E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)
2d
ξ
CTt2
ρ
||
ϕ
||2
L2(RN).
Step 6.Let us show the property (4) of the solution (3). To do this, note rst that
the inclusion
ϕ
L
τ
2(RN),
τ
>N/2, implies ˆ
ϕ
L1(RN). Indeed, application of the
older inequality gives
RN|ˆ
ϕ
(
ξ
)|d
ξ
=
RN|ˆ
ϕ
(
ξ
)|(1+|
ξ
|2)
τ
/2(1+|
ξ
|2)
τ
/2d
ξ
C
τ
||
ϕ
||L
τ
2(RN).
Therefore, by virtue of inequality (16), one has E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)L1(RN). Simi-
larly, inequalities (14)and(16)imply
|
ξα
E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)|C|A(
ξ
)E
ρ
(A(
ξ
)t
ρ
)ˆ
ϕ
(
ξ
)|∈L1(RN)
for all |
α
|m. Hence, D
α
u(x,t), as a function of x, is the Fourier transform of a L1-
function. Obviously, this implies the property (4).
300 R. ASHUROV AND R. ZUNNUNOV
Step 7.Let us prove the uniqueness of the forward problem’s solution.
Suppose that problem (1)–(2) has two solutions u1(x,t)and u2(x,t).Ouraimis
to prove that u(x,t)=u1(x,t)u2(x,t)0 . Since the problem is linear, then we have
the following homogenous problem for u(x,t)Lm
2(RN):
D
ρ
tu(x,t)+A(D)u(x,t)=0,xRN,0<t<T; (18)
u(x,0)=0,xRN.(19)
Let u(x,t)be a solution of problem (18)–(19)and
ω
(x)be an arbitrary function
with properties
ω
(x)0and
ω
C
0(RN). Obviously ˆ
ω
(
ξ
)L2(RN), and since
ˆu(
ξ
,t)L2(RN),then ˆ
ω
(
ξ
)ˆu(
ξ
,t)L1(RN). Therefore, by virtue of Fubini’s theo-
rem, the following function of t[0,T)exists for almost all
λ
:
w
λ
(t)=
A(
ξ
)=
λ
eiy
ξ
ˆ
ω
(
ξ
)ˆu(
ξ
,t)d
σλ
(
ξ
),(20)
where d
σλ
(
ξ
)is the corresponding surface element and yRN.
Taking into account that u(x,t)is a solution of equation (18) we have (note,
A(D)u(x,t)L2(RN))
D
ρ
tw
λ
(t)=(2
π
)N
A(
ξ
)=
λ
eiy
ξ
ˆ
ω
(
ξ
)
RN
A(D)u(x,t)eix
ξ
dxd
σλ
(
ξ
).
The inner integral exists as the Fourier transform of the L2-function. From the equation
A(D)u(x,t)=
RN
A(
η
)ˆu(
η
,t)eix
η
d
η
,
one has
D
ρ
tw
λ
(t)=
A(
ξ
)=
λ
eiy
ξ
ˆ
ω
(
ξ
)A(
ξ
)ˆu(
ξ
,t)d
σλ
(
ξ
)=
λ
w
λ
(t).
Therefore, we have the following Cauchy problem for w
λ
(t):
D
ρ
tw
λ
(t)+
λ
w
λ
(t)=0,t>0; w
λ
(0)=0.
This problem has the unique solution; hence, the function dened by (20), is identi-
cally zero (see, for example, [6], p. 173 and [33]): w
λ
(t)0 for almost all
λ
>0.
Integrating the equation (20) with respect to
λ
over the domain (0,+)we obtain,
that
RN
eiy
ξ
ˆ
ω
(
ξ
)ˆu(
ξ
,t)d
ξ
=
RN
ω
(yx)u(x,t)dx =0,
for almost all yand since both functions
ω
(·)and u(·,t)are continuous, then for all
yRNand t[0,T). Taking into account that the function
ω
(x)is arbitrary with the
above properties, then from the last equality we have u(x,t)0.
Thus Theorem 1is proved.
The uniqueness of the solution to the second forward problem and the formula
(10) is established based on the above reasoning.
INITIAL-BOUNDARYVALUE AND INVERSE PROBLEMS 301
3. First inverse problem
LEMMA 3. Given
ρ
0from the interval 0<
ρ
0<1, there exists a number T0=
T0(
λ
0,
ρ
0), such that for all t0T0and
λ
λ
0the function e
λ
(
ρ
)=E
ρ
(
λ
t
ρ
0)is
positive and monotonically decreasing with respect to
ρ
[
ρ
0,1]and
e
λ
(1)e
λ
(
ρ
)e
λ
(
ρ
0).
Proof. Let us denote by
δ
(1;
β
)a contour oriented by non-decreasing arg
ζ
con-
sisting of the following parts: the ray arg
ζ
=
β
with |
ζ
|1,the arc
β
arg
ζ
β
,
|
ζ
|=1, and the ray arg
ζ
=
β
,|
ζ
|1. If 0 <
β
<
π
, then the contour
δ
(1;
β
)di-
vides the complex
ζ
-plane into two unbounded parts, namely G()(1;
β
)to the left of
δ
(1;
β
)by orientation, and G(+)(1;
β
)to the right of it. The contour
δ
(1;
β
)is called
the Hankel path.
Let
β
=3
π
4
ρ
,
ρ
[
ρ
0,1). Then by the denition of this contour
δ
(1;
β
),we
arrive at (note,
λ
t
ρ
0G()(1;
β
),see[6], p. 27)
E
ρ
(
λ
t
ρ
0)= 1
λ
t
ρ
0Γ(1
ρ
)1
2
π
i
ρλ
t
ρ
0
δ
(1;
β
)
e
ζ
1/
ρ
ζ
ζ
+
λ
t
ρ
0
d
ζ
=f1(
ρ
)+ f2(
ρ
).(21)
To prove the lemma it sufces to show that the derivative d
d
ρ
e
λ
(
ρ
)is negative
for all
ρ
[
ρ
0,1), since the positivity of e
λ
(
ρ
)follows from the inequality e
λ
(1)=
e
λ
t>0.
It is not hard to estimate the derivative f
1(
ρ
). Indeed, let Ψ(
ρ
)be the logarithmic
derivative of the gamma function Γ(
ρ
)(for the denition and properties of Ψsee [34]).
Then Γ(
ρ
)=Γ(
ρ
)Ψ(
ρ
), and therefore,
f
1(
ρ
)=lnt0Ψ(1
ρ
)
λ
t
ρ
0Γ(1
ρ
).
Since 1
Γ(1
ρ
)=1
ρ
Γ(2
ρ
),Ψ(1
ρ
)=Ψ(2
ρ
)1
1
ρ
,
the function f
1(
ρ
)can be represented as follows
f
1(
ρ
)=1
λ
t
ρ
0
(1
ρ
)[lnt0Ψ(2
ρ
)] + 1
Γ(2
ρ
).
If
γ
0,57722 is the Euler-Mascheroni constant, then
γ
<Ψ(2
ρ
)<1
γ
.By
virtue of this estimate we may write
f
1(
ρ
)(1
ρ
)[lnt0(1
γ
)] + 1
Γ(2
ρ
)
λ
t
ρ
0
1
λ
t
ρ
0
,(22)
provided lnt0>1
γ
or t02.
302 R. ASHUROV AND R. ZUNNUNOV
To estimate the derivative f
2(
ρ
), we denote the integrand in (21)byF(
ζ
,
ρ
):
F(
ζ
,
ρ
)= 1
2
π
i
ρλ
t
ρ
0·e
ζ
1/
ρ
ζ
ζ
+
λ
t
ρ
0
.
Note, that the domain of integration
δ
(1;
β
)also depends on
ρ
. To take this circum-
stance into account when differentiating the function f
2(
ρ
), we rewrite the integral (21)
in the form:
f2(
ρ
)= f2+(
ρ
)+ f2(
ρ
)+ f21(
ρ
),
where
f2±(
ρ
)=e±i
β
1
F(se±i
β
,
ρ
)ds,
f21(
ρ
)=i
β
β
F(eiy,
ρ
)eiydy =i
β
1
1
F(ei
β
s,
ρ
)ei
β
sds.
Let us consider the function f2+(
ρ
).Since
β
=3
π
4
ρ
and
ζ
=sei
β
,then
e
ζ
1/
ρ
=e1
2(i1)s
1
ρ
.
The derivative of the function f2+(
ρ
)has the form
f
2+(
ρ
)= 1
2
π
i
ρλ
t
ρ
0
1
e1
2(i1)s1/
ρ
se2ia
ρ
i1
2
ρ
2s1/
ρ
ln s+2ia1
ρ
lnt0ias eia
ρ
+
λ
t
ρ
0lnt0
se
ia
ρ
+
λ
t
ρ
0
seia
ρ
+
λ
t
ρ
0
ds,
where a=3
π
4. By virtue of the inequality |seia
ρ
+
λ
t
ρ
0|
λ
t
ρ
0we arrive at
|f
2+(
ρ
)|C
ρ
(
λ
t
ρ
0)2
1
e1
2s1/
ρ
s1
ρ
2s1/
ρ
ln s+lnt0ds.
LEMMA 4. Let 0<
ρ
1and m N.Then
K(
ρ
)= 1
ρ
1
e1
2s
1
ρ
sm
ρ
+1ds Cm.
Proof. Set r=s1
ρ
.Then
s=r
ρ
,ds =
ρ
r
ρ
1dr.
INITIAL-BOUNDARYVALUE AND INVERSE PROBLEMS 303
Therefore,
K(
ρ
)=
1
e1
2rrm1+2
ρ
dr
1
e1
2rrm+1dr =Cm.
Since ln s1
ρ
<s1
ρ
,thenbyvirtueofLemma4,
|f
2+(
ρ
)|C
(
λ
t
ρ
0)2C2
ρ
+C0lnt0C
(
λ
t
ρ
0)21
ρ
+lnt0.
Function f
2(
ρ
)has exactly the same estimate.
Now consider the function f21 (
ρ
). It is not hard to verify that
f
21(
ρ
)= a
2
πλ
t
ρ
0
1
1
eeias e2ia
ρ
s2ias lnt0iaseia
ρ
s+
λ
t
ρ
0lnt0
eia
ρ
s+
λ
t
ρ
0
eia
ρ
s+
λ
t
ρ
0
ds.
Therefore,
|f
21(
ρ
)|Clnt0
(
λ
t
ρ
0)2.
Taking into account estimate (22) and the estimates of f
2±and f
21 ,wehave
d
d
ρ
e
λ
(
ρ
)<1
λ
t
ρ
0
+C1/
ρ
+lnt0
(
λ
t
ρ
0)2.(23)
In other words, this derivative is negative if
t
ρ
0>C1/
ρ
+lnt0
λ
for all
ρ
[
ρ
0,1)or
t
ρ
0
0>C1/
ρ
0+lnt0
λ
.(24)
Thus, there exists a number T0=T0(
λ
0,
ρ
0)such, that for all t0T0we have the
estimate d
d
ρ
e
λ
(
ρ
)<0,
λ
λ
0,
ρ
[
ρ
0,1].
Since
U(t,
ρ
)=|ˆu(
ξ
0,t)|=E
ρ
(A(
ξ
0)t
ρ
)|ˆ
ϕ
(
ξ
0)|=E
ρ
(
λ
0t
ρ
)|ˆ
ϕ
(
ξ
0)|,
Lemma 1follows immediately from Lemma 3. Theorem 2is an easy consequence of
these two lemmas.
In conclusion, we make the following remark. If the elliptic polynomial A(
ξ
)is
nonhomogeneous, that is A(
ξ
)=
|
α
|m
a
αξα
and moreover, A(
ξ
)
λ
0>0, then from
Lemma 3it follows:
If t0T0and T0is as above, then E
ρ
(A(
ξ
)t
ρ
), as a function of
ρ
, is positive
and decreases monotonically in
ρ
[
ρ
0,1]for any
ξ
RN.
Therefore, in this case you can also consider various options for the function
U(t,
ρ
).ExamplesU(t,
ρ
)=||Au(x,t)||2and U(t,
ρ
)=||u(x,t)||2.
304 R. ASHUROV AND R. ZUNNUNOV
4. Second inverse problem
To prove Theorem 3,werst nd the unknown parameter
ρ
. Suppose, as required
by Theorem 3,that d0satises condition (7) with
λ
0=A(
ξ
0)=1. Then, as it follows
from Lemma 3,forallt0T0(1,
ρ
0)the equation
V(
ξ
0,t0,
ρ
,
σ
)=|ˆv(
ξ
0,t0)|=E
ρ
(t
ρ
)|ˆ
ϕ
(
ξ
0)|=d0
has the unique solution
ρ
[
ρ
0,1].
Now let us dene
σ
[
σ
0,1], which corresponds to the already found
ρ
and
satises condition (12).
We rst assume, that
ρ
<1andlet
β
=3
π
4
ρ
. Then formula (21) will have the
form
E
ρ
(
λσ
t
ρ
1)= 1
λσ
t
ρ
1Γ(1
ρ
)1
2
π
i
ρ
λσ
t
ρ
1
δ
(1;
β
)
e
ζ
1/
ρ
ζ
ζ
+
λσ
t
ρ
1
d
ζ
=g1(
σ
)+g2(
σ
).
(25)
One has
g
1(
σ
)=ln
λ
λσ
t
ρ
1Γ(1
ρ
)
and
g
2(
σ
)=(1+t
ρ
1)ln
λ
2
π
i
ρ
λσ
t
ρ
1
δ
(1;
β
)
e
ζ
1/
ρ
ζ
ζ
+
λσ
t
ρ
1
d
ζ
.
It is easy to check that g
2(
σ
)has an estimate (it is proved similarly to the estimate for
f
2±)
|g
2(
σ
)|(1+t
ρ
1)ln
λ
π
(
λσ
t
ρ
1)2C0+4
3
π
<5ln
λ
λ
2
σ
t
ρ
1
.
Therefore, for all t11wehave
d
d
σ
E
ρ
(
λσ
t
ρ
1)<ln
λ
λσ
t
ρ
1Γ(1
ρ
)+5ln
λ
λ
2
σ
t
ρ
1
.(26)
Hence this derivative is negative if
λσ
λσ
05Γ(1
ρ
).
Thus, if
λ
1Λ1=Λ1(
ρ
,
σ
0),and(see(12))
Λ1=en,nln(5Γ(1
ρ
))
σ
0
,(27)
then E
ρ
(
λσ
t
ρ
1), as a function of
σ
[
σ
0,1], strictly decreases for all t11.
Now let
ρ
=1. Then E
ρ
(
λσ
t
ρ
1)=e
λ
σ
t1and the derivative (26)isnegative
for all
λ
>1andt11.
INITIAL-BOUNDARYVALUE AND INVERSE PROBLEMS 305
Since the function E
ρ
(
λσ
t
ρ
1)is decreasing, then the following estimates hold
E
ρ
(
λ
1t
ρ
1)E
ρ
(
λσ
1t
ρ
1)E
ρ
(
λσ
0
1t
ρ
1),
λ
1Λ1,
σ
[
σ
0,1].
The last estimate shows that if d1satises condition (13), then, assuming
ρ
has al-
ready been found, we can uniquely determine the parameter
σ
from equality (12), that
is, from
E
ρ
(
λσ
1t
ρ
1)|ˆ
ϕ
(
ξ
1)|=d1.
Acknowledgement. The authors convey thanks to Sh. A. Alimov for discussions
of these results.
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(Received October 24, 2020) Ravshan Ashurov
Institute of Mathematics
Uzbekistan Academy of Science
Tashkent, 81 Mirzo Ulugbek str. 100170
e-mail: ashurovr@gmail.com
Rakhim Zunnunov
Institute of Mathematics
Uzbekistan Academy of Science
Tashkent, 81 Mirzo Ulugbek str. 100170
e-mail: zunnunov@mail.ru
Fractional Differential Calculus
www.ele-math.com
fdc@ele-math.com
... In Ashurov and Zunnunov [19], a problem similar to (1) is considered in the whole space R N . In this paper, the Laplace operator is replaced by an elliptic operator of arbitrary order with constant coefficients. ...
... To the best of our knowledge, only the next three papers [18,19,35] studied inverse problems for the simultaneous determination of two parameters. Moreover, in previous works [18,35], only uniqueness theorems were proved. ...
... Moreover, in previous works [18,35], only uniqueness theorems were proved. Ashurov and Zunnunov [19] succeeded by setting the over-determination condition in a different form, to prove both the existence and uniqueness of the desired parameter. Let us consider these works in more detail. ...
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The paper considers the initial‐boundary value problem for equation Dtρu(x,t)+(−Δ)σu(x,t)=0,ρ∈(0,1),σ>0Dtρu(x,t)+(Δ)σu(x,t)=0,ρ(0,1),σ>0 {D}_t^{\rho }u\left(x,t\right)+{\left(-\Delta \right)}^{\sigma }u\left(x,t\right)=0,\rho \in \left(0,1\right),\sigma >0 , in an N‐dimensional domain ΩΩ \Omega with a homogeneous Dirichlet condition. The fractional derivative is taken in the sense of Caputo. The main goal of the work is to solve the inverse problem of simultaneously determining two parameters: the order of the fractional derivative ρρ \rho and the degree of the Laplace operator σσ \sigma . A new formulation and solution method for this inverse problem are proposed. It is proved that in the new formulation the solution to the inverse problem exists and is unique for an arbitrary initial function from the class L2(Ω)L2(Ω) {L}_2\left(\Omega \right) . Note that in previously known works, only the uniqueness of the solution to the inverse problem was proved and the initial function was required to be sufficiently smooth and non‐negative.
... It is noted that the inverse fractional order problems studied in the above publications were analyzed by adopting additional data continuously in a time interval of (0, T ) for any prescribed given T > 0. It is interesting to study the inverse fractional order problems by the value of the solution at some fixed time as the observations [21]. Recently Alimov, Ashurov and their collaborators gave some existence and uniqueness results on the inverse fractional order problems by using measurements at one fixed time point, see [2,3] and [4][5][6]. These studies need some information of the solution to the forward problem on the whole space domain, and the information is some norm of the solution on the space variable. ...
... With the help of the eigenfunction system of the Laplace operator, the solution of the forward problem can be expressed by the Mittag-Leffler function, and the inverse fractional order problem is transformed to a nonlinear algebraic equation. By analysis of the series expression, the Mittag-Leffler function E α (−ct α ) is proved to be strictly monotonic for α ∈ (0, 1) if c > 0 is small enough and t > 0 is suitably large, see Theorem 1 in Sect. 2. This monotonicity of the Mittag-Leffler function was derived by Ashurov and Zunnunov in [4], however, the proof here is simple as compared with that of [4]. By the monotonicity of the Mittag-Leffler function, the algebraic equation is uniquely solvable and the inverse fractional order problem is of uniqueness. ...
... With the help of the eigenfunction system of the Laplace operator, the solution of the forward problem can be expressed by the Mittag-Leffler function, and the inverse fractional order problem is transformed to a nonlinear algebraic equation. By analysis of the series expression, the Mittag-Leffler function E α (−ct α ) is proved to be strictly monotonic for α ∈ (0, 1) if c > 0 is small enough and t > 0 is suitably large, see Theorem 1 in Sect. 2. This monotonicity of the Mittag-Leffler function was derived by Ashurov and Zunnunov in [4], however, the proof here is simple as compared with that of [4]. By the monotonicity of the Mittag-Leffler function, the algebraic equation is uniquely solvable and the inverse fractional order problem is of uniqueness. ...
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In this paper we are concerned with an inverse problem for determining the order of time fractional derivative in a time fractional diffusion equation (TFDE in short), where the available measurement is given at a single space-time point. The inverse problem is transformed to a nonlinear algebraic equation of the fractional order based on the solution to the forward problem. We prove that the algebraic equation possesses a unique solution by the strict monotonicity of the Mittag-Leffler function, and the inverse problem is of uniqueness. Numerical examples are presented to show the unique solvability of the inverse problem.
... In references [15][16][17][18][19][20][21][22], this problem is discussed for various equations of mathematical physics. We note right away that in these works the authors prove not only the uniqueness of the solution to the inverse problem but also its existence. ...
... The authors of [19] have studied the subdiffusion equations, the elliptic part of which has a continuous spectrum. In this work, along with other problems, the inverse problem of determining the order of the derivative with respect to both space and time is solved. ...
... Therefore, for the validity of estimate (19) , it is sufficient to simultaneously fulfill two inequalities t 0 ≥ 2 and t 0 |ϕ 1 | ≥ 2|ψ 1 | (see (20)), or which is the same, one inequality t 0 ≥ 2 max{1, |ψ 1 | |ϕ 1 | }. Thus, if t 0 ≥ T 0 , then U(ρ; t 0 ) is strictly monotonic in the variable ρ. ...
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A fractional wave equation with a fractional Riemann–Liouville derivative is considered. An arbitrary self-adjoint operator A with a discrete spectrum was taken as the elliptic part. We studied the inverse problem of determining the order of the fractional time derivative. By setting the value of the projection of the solution onto the first eigenfunction at a fixed point in time as an additional condition, the order of the derivative was uniquely restored. The abstract operator A allows us to include many models. Several examples of operator A are discussed at the end of the article.
... Depending on the nature of the process, for example, if the initial phase of the process is considered, Gerasimov-Caputo fractional derivatives are used; if the process is stabilized, then Riemann-Liouville fractional derivatives are used. In [2], the initial-boundary value problem for the subdiffusion equation with a Gerasimov-Caputo fractional derivative and an elliptic operator A(D) in R N was studied. Existence and uniqueness theorems for the solution of the inverse problem of determining the orders of time-fractional derivatives and the power σ were proved. ...
... In what follows, we will assume that the original function ϕ belongs to the class L τ 2 (R N ) for τ > N 2 , then, by Theorem 2.2, the forward problem has a unique solution of the form (2.3) for any ρ ∈ (0, 1]. Theorem 2.2 is proved similarly to Theorem 1 in [2]. ...
... Hence we have g 1 (σ) = 2 ln λ λ 2σ t ρ +1 1 Γ(−ρ ) = − 2ρ ln λ λ 2σ t ρ +1 1 Γ(1 − ρ ) and for |g 2 (σ)| using the methods given in [2] and [1], we obtain the following estimate ...
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An initial-boundary value problem for the subdiffusion equation with an elliptic operator A(D) in R N is studied in the article. Existence and uniqueness theorems for the problem under study are proved by the Fourier method. Considering the order of the Riemann-Liouville time-fractional derivative as an unknown parameter, an inverse problem of determining this parameter is investigated. Likewise, the initial-boundary value problem was considered in the case of replacing the operator A(D) with its power A σ .Then, existence and uniqueness theorems were proved for the solution of the inverse problem of determining the order of the fractional derivative and the power σ.
... Inverse problems for determining this unknown parameter are of theoretical interest and are necessary for solving initialboundary value problems and studying the properties of solutions. This is a relatively new type of inverse problem, which arises only when considering equations of fractional order (see the survey article [24] and the references in it, and the recent articles [25][26][27][28][29]). ...
... Therefore, it is sufficient to show the continuity in domain Ω of functions u(x, t) at t = 0, D α 0t u + (x, t) at t = +0 and u − x (x, t) at t = −0. Applying Lemma 3 for σ = 0 and repeating the above reasoning (see (28)), we obtain ...
... 2 The following lemma, in a slightly different formulation, was proven in [28]. For the convenience of the readers, here are the main points of the proof. ...
... The question naturally arises: is it possible to solve the inverse problem in the case when the elliptic part has a continuous spectrum? Work [32] gives a positive answer to this question. Moreover, the authors considered a two-parameter inverse problem similar to the one considered in works [22] and [23]. ...
Preprint
Determining the unknown order of the fractional derivative in differential equations simulating various processes is an important task of modern applied mathematics. In the last decade, this problem has been actively studied by specialists. A number of interesting results with a certain applied significance were obtained. This paper provides a short overview of the most interesting works in this direction. Next, we consider the problem of determining the order of the fractional derivative in the subdiffusion equation, provided that the elliptic operator included in this equation has at least one negative eigenvalue. An asymptotic formula is obtained according to which, knowing the solution at least at one point of the domain under consideration, the required order can be calculated.
... Lemma 2.3. (see [28], formula (2.30), p.135 and [30], lem 4). Let µ be an arbitrary complex number. ...
Preprint
In the Hilbert space H, the inverse problem of determining the right-hand side of the abstract subdiffusion equation with the fractional Caputo derivative is considered. For the forward problem, a non-local in time condition u(0)=u(T) is taken. The right-hand side of the equation has the form fg(t), and the unknown element is fHf\in H. If function g(t) does not change sign, then under a over-determination condition u(t0)=ψ u (t_0)= \psi , t0(0,T)t_0\in (0, T), it is proved that the solution of the inverse problem exists and is unique. An example is given showing the violation of the uniqueness of the solution for some sign-changing functions g(t). For such functions g(t), under certain conditions on this function, one can achieve well-posedness of the problem by choosing t0t_0. And for some g(t), for the existence of a solution to the inverse problem, certain orthogonality conditions must be satisfied and in this case there is no uniqueness. All the results obtained are also new for the classical diffusion equations.
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We consider an inverse problem on determining the right-hand side of the subdiffusion equation with the fractional Caputo derivative. The right-hand side of the equation has the form f(x)g(t) and the unknown is the function f(x). The condition u(x,t0)=ψ(x) u (x,t_0)= \psi (x) is taken as the over-determination condition, where t0t_0 is some interior point of the considered domain and ψ(x)\psi (x) is a given function. By the Fourier method we show that under certain conditions on the functions g(t) and ψ(x)\psi (x) the solution of the inverse problem exists and is unique. We provide an example showing the violation of the uniqueness of the solution of the inverse problem for some sign-changing functions g(t). For such functions g(t) we find necessary and sufficient conditions on the initial function and on the function from the over-determination condition, which ensure the existence of a solution to the inverse problem.
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http://www.worldscientific.com/worldscibooks/10.1142/10734 The book is devoted to the fundamental relationship between three objects: a stochastic process, stochastic differential equations driven by that process and their associated Fokker–Planck–Kolmogorov equations. This book discusses wide fractional generalizations of this fundamental triple relationship, where the driving process represents a time-changed stochastic process; the Fokker–Planck–Kolmogorov equation involves time-fractional order derivatives and spatial pseudo-differential operators; and the associated stochastic differential equation describes the stochastic behavior of the solution process. It contains recent results obtained in this direction. This book is important since the latest developments in the field, including the role of driving processes and their scaling limits, the forms of corresponding stochastic differential equations, and associated FPK equations, are systematically presented. Examples and important applications to various scientific, engineering, and economics problems make the book attractive for all interested researchers, educators, and graduate students.
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