58 (2013)
APPLICATIONS OF MATHEMATICS
No. 4, 473–486
ON THE FOURIER COSINE—KONTOROVICH-LEBEDEV
GENERALIZED CONVOLUTION TRANSFORMS
Nguyen Thanh Hong, Trinh Tuan, Nguyen Xuan Thao, Hanoi
(Received August 1, 2011)
Abstract. We deal with several classes of integral transformations of the form
Z
1 −u cosh(x+v)
(e
+ e−u cosh(x−v) )h(u)f (v) du dv,
f (x) → D
2
u
R+
where D is an operator. In case D is the identity operator, we obtain several operator
properties on Lp (R+ ) with weights for a generalized operator related to the Fourier cosine
and the Kontorovich-Lebedev integral transforms. For a class of differential operators of
infinite order, we prove the unitary property of these transforms on L2 (R+ ) and define the
inversion formula. Further, for an other class of differential operators of finite order, we
apply these transformations to solve a class of integro-differential problems of generalized
convolution type.
Keywords: convolution, Hölder inequality, Young’s theorem, Watson’s theorem, unitary,
Fourier cosine, Kontorovich-Lebedev, transform, integro-differential equation
MSC 2010 : 33C10, 44A35, 45E10, 45J05, 47A30, 47B15
1. Introduction
The Fourier cosine integral transform is of the form (see [10], [11])
r Z ∞
2
f (x) cos xy dx
(1.1)
(Fc f )(y) =
π 0
for f ∈ L1 (R+ ), and
(1.2)
r Z N
r
Z ∞
sin xy
2
2 d
dx
(Fc f )(y) = lim
f (x) cos yx dx =
f (x)
N →∞
π 0
π dx 0
x
This research is funded by Vietnam’s National Foundation for Science and Technology
Development (NAFOSTED) under grant number 101.01-2011.05.
473
for f ∈ L2 (R+ ); here the limit is understood in L2 (R+ ) norm mean. These two
definitions are equivalent if f ∈ L1 (R+ ) ∩ L2 (R+ ).
The Kontorovich-Lebedev integral transform was first investigated by M. J. Kontorovich and N. N. Lebedev in 1938–1939 and has the form (see [5], [6], [14])
Z ∞
(1.3)
K[f ](y) =
Kix (y)f (x) dx,
0
which contains as the kernel the Macdonald function Kν (x) (see [1]) of the pure
imaginary index ν = iy. The function Kν (z) satisfies the differential equation
(1.4)
z2
d2 u
du
+z
− (z 2 + ν 2 )u = 0.
dz 2
dz
The Macdonald function has the asymptotic behaviour (see [6])
(1.5)
Kν (z) =
π 1/2
e−z [1 + O(1/z)],
2z
z → ∞,
and near the origin
(1.6)
z ν Kν (z) = 2ν−1 Γ(ν) + o(1),
(1.7)
K0 (z) = − log z + O(1),
z → 0, ν 6= 0,
z → 0.
The following form for the Macdonald function is very useful (see [1], [6], [14]):
Z ∞
(1.8)
Kiy (x) =
e−x cosh u cos yu du, x > 0.
0
The inverse Kontorovich-Lebedev transform (1.3) is of the form (see [5], [6])
Z ∞
1
2
Kix (y)g(y) dy,
(1.9)
f (x) = K −1 [g](x) = 2 x sinh(πx)
π
y
0
here, g(y) = K[f ](y).
Throughout this paper, we are interested in the Kontorovich-Lebedev transform (1.3). However, note that there is another version of the Kontorovich-Lebedev
integral transform which is of the form (see [1], [6], [16])
Z ∞
e
(1.10)
g(y) = K[f ](y) =
Kiy (x)f (x) dx.
0
A generalized convolution for the Fourier cosine and the Kontorovich-Lebedev integral transforms has been studied in [12]:
(1.11)
Z ∞Z ∞
γ
1 −u cosh(x+v)
1
[e
+ e−u cosh(x−v) ]h(u)f (v) du dv, x > 0.
(h ∗ f )(x) = 2
π 0
u
0
474
The existence of the generalized convolution (1.11) for two functions in L1 (R+ ) with
weight and its application to solving integral equations of generalized convolution
type were studied in [12]. Namely, for h ∈ L1 (R+ , 1/x), f ∈ L1 (R+ , 1/ sinh x), the
following factorization equality holds (see [12]):
(1.12)
γ
Fc (h ∗ f )(y) =
1
K −1 [h](y)(Fc f )(y), ∀y > 0.
y sinh πy
In any convolution (h ∗ f ) of two functions h and f , if we fix the function h and let
f vary in a certain function space, then one can study convolution transforms of the
type f 7→ D(f ∗ h), where D is an operator. The most famous integral transforms
constructed in this way are the Watson transforms that are related to the Mellin
convolution and the Mellin transform (see [11])
f (x) 7−→ g(x) =
Z
∞
k(xy)f (y) dy.
0
Recently, several authors have been interested in the convolution transforms of this
type (see [3], [4], [13], [15]). In this paper, we are interested in the transform f 7→
γ
γ
D(h ∗ f ), where (h ∗ f ) is the generalized convolution (1.11). For the case D is
the identity operator, in Section 2 we study several further operator properties in
the Lebesgue spaces Lp (R+ ) with weight for the generalized convolution (1.11). In
particular, Young’s theorem and Young’s inequality for this generalized convolution
are obtained. In Section 3, for a class of differential operators D of infinite order, we
obtain the necessary and sufficient condition such that the respective transforms are
unitary on L2 (R+ ), and define the inverse transforms. Finally, in Section 4, for an
other class of differential operator D of finite order, we obtain the solution in closed
form of a class of integro-differential equations.
2. Generalized convolution operator properties
In this section, we will prove several norm properties of the generalized convolution
(1.11). Throughout the paper, we are interested in the following two-parametric
family of Lebesgue spaces.
Definition 1 (see [16]). For α ∈ R, 0 < β 6 1, we denote by Lα,β
p (R+ ) the space
of all functions f (x) defined in R+ such that
(2.1)
Z
∞
0
|f (x)|p K0 (βx)xα dx < ∞.
475
The norm of a function in this space is defined by
kf kLα,β
(R+ ) =
p
Z
∞
0
1/p
|f (x)|p K0 (βx)xα dx
.
Using the asymptotics of the Macdonald function (1.5), (1.6), (1.7), formula (2.1)
can be expressed in an equivalent form
Z
1
0
|f (x)|p | log x|xα dx +
Z
∞
1
|f (x)|p xα−1/2 e−βx dx < ∞.
The boundedness of the generalized convolution (1.11) on the spaces L1 (R+ ) is given
by the following theorem; here we consider the function h ∈ L−1,β
(R+ ).
1
Theorem 2.1. Let h ∈ L−1,β
(R+ ) and g ∈ L1 (R+ ), 0 < β 6 1. Then the
1
generalized convolution (1.11) exists for almost all x > 0, belongs to L1 (R+ ), and
the following estimation holds:
γ
(2.2)
kh ∗ gkL1 (R+ ) 6
2
khkL−1,β (R+ ) kf kL1 (R+ ) .
1
π2
Moreover, the factorization property (1.12) holds true. Furthermore, if 0 < β < 1,
then the convolution (1.11) belongs to C0 (R+ ), and the Parseval type equality takes
place for all x > 0:
(2.3)
r Z ∞
1
2
K −1 [h](y)(Fc f )(y) cos xy dy.
(h ∗ f )(x) =
π 0 y sinh πy
γ
P r o o f. Using formula (1.8) we obtain
1
2
(2.4)
Z
∞
(e−u cosh(x+v) + e−u cosh(x−v) ) dv = K0 (u).
0
Then
γ
kh ∗f kL1 (R+ ) 6
2
π2
Z ∞Z
0
0
∞
2
|h(u)|
K0 (u)|f (v)| du dv = 2 khkL−1,β (R+ ,1/x) ·kf kL1 (R+ ) .
1
u
π
We now prove the Parseval type equality. Using Fubini’s theorem and the formula
(2.16.48.19) in [9]
Z ∞
π
cos byKiy (u) dy = e−u cosh b ,
2
0
476
we have
γ
Z ∞Z ∞
1
1 −u cosh(x+v)
[e
+ e−u cosh(x−v) ]h(u)f (v) du dv
π2 0 0 u
Z ∞Z ∞Z ∞
1
21
= 2
h(u)f (v)Kiy (u)(cos(x + v)y + cos(x − v)y) du dv dy
π 0 0 0 πu
Z ∞Z ∞Z ∞
4
1
= 3
h(u)f (v)Kiy (u) cos xy cos vy du dv dy
π 0 0 0 u
r Z ∞
Z ∞
1
2
1
2
y
sinh
πy
K
(u)h(u)
du
=
iy
π 0 y sinh πy π2
u
0
r Z ∞
2
×
f (v) cos vy dv cos xy dy
π 0
r Z ∞
2
1
K −1 [h](y)(Fc f )(y) cos xy dy.
=
π 0 y sinh πy
(h ∗ f )(x) =
That gives the Parseval identity (2.3), and the proof of the theorem is complete.
The next theorem draws a parallel with a result studied in [16], namely, the boundedness of the generalized convolution (1.11) on spaces Lα,γ
r , 1 < r < ∞, α > −1,
0 < γ 6 1 is given.
Theorem 2.2. Let 1 < p < ∞ be a real number and q its conjugate exponent,
i.e. 1/p + 1/q = 1. Then for any h ∈ L−p,β
(R+ ) and f ∈ Lq (R+ ), the generalized
p
γ
convolution (h ∗ f ) (1.11) is well-defined as a bounded continuous function on R+ .
γ
Moreover, (h ∗ f ) belongs to Lα,γ
r (R+ ), 1 6 r < ∞, α > −1, 0 < γ 6 1, and
(2.5)
γ
1/r
kh ∗ f kLα,γ
(R+ ) 6 Cα,γ khkL−p,β
r
(R+ ) kf kLq (R+ ) ,
p
where Cα,γ = (2r+α−1 /π2r γ α+1 )Γ2 ((α + 1)/2).
P r o o f.
Using the integral representation (2.4) for the function K0 (u), the
Hölder inequality, and the fact that e−u cosh(x+v) +e−u cosh(x−v) 6 2e−u for all positive
u, x, v, we get
Z ∞Z ∞
γ
h(u)
1
|f (v)|[e−u cosh(x+v) + e−u cosh(x−v) ] du dv
(2.6) |(h ∗ f )(x)| 6 2
π 0
u
0
Z ∞ Z ∞
1/p
1
h(u) p −u cosh(x+v)
6 2
[e
+ e−u cosh(x−v) ] du dv
π
u
0
0
Z ∞Z ∞
1/q
q −u cosh(x+v)
−u cosh(x−v)
×
|f (v)| [e
+e
] du dv
2
6 2
π
Z
0
0
∞
0
h(u) p
K0 (u) du
u
1/p
kf kLq (R+ ) .
477
Therefore, the generalized convolution is well-defined as a bounded operator and the
estimation (2.6) holds. Moreover, in view of formula (2.16.2.2) in [9] we get
γ
kh ∗ f k
(R+ )
Lα,γ
r
Z ∞
1/r
2
α
6 2 khkL−p,β
x K0 (γx) dx
(R+ ) kf kLq (R+ )
p
π
0
α + 1
γ −α/r
2
khkL−p,β
Γ2/r
= 2 (2γ)−1/r
(R+ ) kf kLq (R+ ) , α > −1.
p
π
2
2
This yields (2.5)
For the Fourier convolution (see [10])
1
(h ∗ f )(x) = √
F
2π
(2.7)
Z
∞
−∞
h(x − y)f (y) dy,
Young’s theorem and its corollary, the so-called Young inequality, are fundamental
(see [2]). So, it is useful to study similar topics for convolutions and generalized
convolutions for other integral transforms. Next, we will prove Young’s type theorem
for the generalized convolution (1.11).
Theorem 2.3 (Young’s Type Theorem). Let p, q, r be real numbers in (1; ∞)
such that 1/p + 1/q + 1/r = 2 and let f ∈ L−p,β
(R+ ), 0 < β 6 1, g ∈ Lq (R+ ),
p
h ∈ Lr (R+ ). Then
Z
(2.8)
0
P r o o f.
means
∞
γ
(f ∗ g)(x) · h(x) dx 6
2(p−1)/p
kf kL−p,β
(R+ ) kgkLq (R+ ) khkLr (R+ ) .
p
π2
Let p1 , q1 , r1 be the conjugate exponentials of p, q, r, respectively, it
1
1
1
1
1
1
= +
= +
= 1.
+
p p1
q
q1
r
r1
Then it is obvious that 1/p1 + 1/q1 + 1/r1 = 1. Put
F (x, u, v) = |g(v)|q/p1 |h(x)|r/p1 [e−u cosh(x+v) + e−u cosh(x−v) ]1/p1 ,
f (u) p/q1
G(x, u, v) =
|h(x)|r/q1 [e−u cosh(x+v) + e−u cosh(x−v) ]1/q1 ,
u
f (u) p/r1
|g(v)|q/r1 [e−u cosh(x+v) + e−u cosh(x−v) ]1/r1 .
H(x, u, v) =
u
We have
(2.9)
478
(F · G · H)(x, u, v) =
f (u)
|g(v)||h(x)|[e−u cosh(x+v) + e−u cosh(x−v) ].
u
On the other hand, in the space Lp1 (R3+ ) we have
(2.10)
Z ∞Z ∞Z ∞
kF kpL1p (R3 ) =
|g(v)|q |h(x)|r [e−u cosh(x+v) + e−u cosh(x−v) ] du dv dx
+
1
0
0
0
Z ∞Z ∞Z ∞
62
|g(v)|q |h(x)|r e−u du dv dx
0
0
0
= 2kgkqLq (R+ ) khkrLr (R+ ) .
Further, the fact that K0 (u) 6 K0 (βu) for 0 < β 6 1 (see [16]) yields
(2.11)
Z ∞Z ∞Z ∞
f (u) p
kGkpL1q (R3 ) =
|h(x)|r [e−u cosh(x+v) + e−u cosh(x−v) ] du dv dx
+
1
u
Z0 ∞Z0 ∞Z0 ∞
f (u) p
6
K0 (βu)|h(x)|r du dx
u
0
0
0
khkrLr (R+ ) ,
= kf kp −p,β
Lp
and similarly,
(2.12)
kHkrL1r
3
1 (R+ )
(R+ )
Z ∞Z ∞Z
∞
f (u) p
|g(v)|q [e−u cosh(x+v) + e−u cosh(x−v) ] du dv dx
u
Z0 ∞Z0 ∞Z0 ∞
f (u) p
6
K0 (βu)|g(v)|r du dv
u
0
0
0
= kf kpL−p,β (R ) kgkqLq (R+ ) .
=
p
+
From (2.10), (2.11) and (2.12) we have
(2.13)
kF kLp1 (R3+ ) kGkLq1 (R3+ ) kHkLr1 (R3+ )
6 2(p−1)/p kf kL−p,β
(R+ ) kgkLq (R+ ) khkLr (R+ ) .
p
From (2.9) and (2.13), by three-function form of the Hölder inequality [2] we have
Z ∞
γ
(f ∗ g)(x) · h(x) dx
0
Z ∞Z ∞Z ∞
f (u)
1
|g(v)||h(x)|[e−u cosh(x+v) + e−u cosh(x−v) ] du dv dx
6 2
π 0 0 0
u
Z ∞Z ∞Z ∞
1
= 2
F (x, u, v)G(x, u, v)H(x, u, v) du dv dx
π 0 0 0
1
6 2 kF kLp1 (R3+ ) kGkLq1 (R3+ ) kHkLr1 (R3+ )
π
2(p−1)/p
6
kf kL−p,β
(R+ ) kgkLq (R+ ) khkLr (R+ ) .
p
π2
The proof is complete.
479
The following Young’s type inequality is the direct corollary of the above theorem
Corollary 2.1 (A Young’s Type Inequality). Let 1 < p < ∞, 1 < q < ∞,
1 < r < ∞ be such that 1/p + 1/q = 1 + 1/r and let f ∈ L−p,β
(R+ ), 0 < β 6 1,
p
g ∈ Lq (R+ ). Then the generalized convolution (1.11) is well-defined in Lr (R+ ),
moreover, the following inequality holds:
γ
(2.14)
kf ∗ gkLr (R+ ) 6
2(p−1)/p
kf kL−p,β
(R+ ) kgkLq (R+ ) .
p
π2
3. A Watson type theorem
An important part of the integral transforms theory is to study unitary transforms.
In this section, for a class of differential operators of infinite order, we give a condition
on the kernel h such that the convolution transformation (3.3) defines a unitary
operator in L2 (R+ ), and calculate the inverse transformation.
By an argument similar to that in the proof of Theorem 2.1, one can easily prove
the following lemma.
Lemma 3.1. Let h ∈ L−2,β
(R+ ), 0 < β 6 1, and f ∈ L2 (R+ ). Then the gener2
alized convolution (1.11) satisfies the factorization equality (1.12). Furthermore, the
following generalized Parseval identity holds:
(3.1)
γ
(h ∗ f )(x) =
r Z ∞
1
2
K −1 [h](y)(Fc f )(y) cos xy dy,
π 0 y sinh πy
where the integral is understood in the L2 (R+ ) norm, if necessary.
Theorem 3.1. Let h ∈ L−2,β
(R+ ), 0 < β 6 1. Then the condition
2
|K −1 [h](τ )| =
(3.2)
1
cosh(πτ )
is necessary and sufficient for the transformation f 7→ g given by formula
(3.3)
g(x) =
Z Z
∞
4 d2 ∞ ∞ 1 −u cosh(x+v)
d2 Y
(e
1
−
π2 dx2
k 2 dx2 0 0 u
k=0
+ e−u cosh(x−v) )h(u)f (v) du dv,
480
to be unitary on L2 (R+ ). Moreover, the inverse transformation can be written in
the symmetric form
(3.4)
Z Z
N
d2 Y
4 d2 ∞ ∞ 1 −u cosh(x+v)
f (x) = lim 2 2
(e
1− 2 2
N →∞ π dx
k dx
u
0
0
k=0
+ e−u cosh(x−v) )h̄(u)f (v) du dv.
Here, the limit is understood in the L2 (R+ ) norm.
P r o o f.
Sufficiency. Suppose that the function h satisfies condition (3.2).
Applying Lemma 3.1, it is easy to see that the generalized convolution transform (3.3)
can be written in the form
(3.5)
r
Z
N
d2 Y
4 d2 ∞
1
2
lim
(Kiy [h])(Fc f )(y) cos xy dy,
1
−
g(x) =
2
2
2
π N →∞ dx
k dx
y sinh πy
0
k=0
or equivalently, g(x) = lim gN (x), where
N →∞
gN (x) =
N
d2 Y
1
4 d2
F
(K
[h])(F
f
)(y)
(x).
1
−
c
iy
c
dx2
k 2 dx2
y sinh πy
k=0
It is well-known that h(y), yh(y), y 2 h(y) ∈ L2 (R+ ) if and only if (F h)(x),
(d(F h)(x)/dx), (d2 (F h)(x)/dx2 ) ∈ L2 (R+ ) (Theorem 68, page 92, [11]). Therefore,
h(y), yh(y), y 2 h(y), . . ., y n h(y) ∈ L2 (R+ ) if and only if (F h)(x), (d(F h)(x)/dx),
(d2 (F h)(x)/dx2 ), . . . , (dn (F h)(x)/dxn ) ∈ L2 (R+ ). Moreover, for each positive integer n we have
d2n
(F h)(x) = (−1)n F (y 2n h(y))(x).
dx2n
Therefore, if y 2
N
Q
k=0
(1 + 4y 2 /k 2 )h(y) ∈ L2 (R+ ) then the following formula holds:
Y
N
N
4y 2
d2 Y
4 d2
2
1 + 2 h(y) (x).
1 − 2 2 (Fc h)(x) = −Fc y
dx2
k dx
k
(3.6)
k=0
k=0
From condition (3.2) and the infinite product form of sinh z (see formula (4.5.68)
in [1]) we have
y2
N
Y
k=0
(1 + (4y 2 /k 2 ))(1/y sinh πy)K −1 [h](y) = 1
Y
∞
(1 + (4y 2 /k 2 )) < 1,
k=N +1
481
and hence it is bounded. Therefore
N
Y
4y 2
1
2
y
1+ 2
K −1 [h](y)(Fc f )(y) ∈ L2 (R+ ),
k
y sinh πy
k=0
and formula (3.6) yields
Y
N
1
4y 2
−1
2
K [h](y)(Fc f )(y) (x) ∈ L2 (R+ ).
gN (x) = Fc y
1+ 2
k
y sinh πy
k=0
This shows that gN belongs to L2 (R+ ). Applying the Fourier cosine transform to
both sides of the above relation, we have
(Fc gN )(y) = y 2
N
Y
1
4y 2
K −1 [h](y)(Fc f )(y).
1+ 2
k
y sinh πy
k=0
Besides, from the Parseval equality for the Fourier cosine transform kFc f kL2 (R+ ) =
kf kL2 (R+ ) , it follows that
kFc gN − Fc gkL2 (R+ ) = kgN − gkL2 (R+ ) → 0, N → ∞.
Therefore, using formula (4.5.68) in [1] we conclude that
(Fc g)(y) = y 2
∞
Y
1+
k=0
1
4y 2
K −1 [h](y)(Fc f )(y)
k 2 y sinh πy
1
K −1 [h](y)(Fc f )(y)
2y sinh πy
= cosh πyK −1 [h](y)(Fc f )(y).
= y sinh 2πy
From condition (3.2), it is easy to see that |(Fc g)(y)| ≡ |(Fc f )(y)|, then kf kL2 (R+ ) =
kgkL2 (R+ ) , which implies that the transform (3.3) is unitary. Again from condition
(3.2) we obtain
cosh πyK −1 [h̄](y)(Fc g)(y) = (Fc f )(y).
Thus, in the same manner as above it corresponds to (3.4) and the inversion formula
of the transform (3.3) follows.
Necessity. Suppose that transform (3.3) is unitary on L2 (R+ ) and the inversion
formula is defined by (3.4). Then using the Parseval type identity (3.1), the Parseval
identity for the Fourier cosine transform, and formula (4.5.68) in [1] we obtain
kgkL2(R+ ) = k cosh πyK −1 [h](y)(Fc f )(y)kL2 (R+ ) = kFc f kL2 (R+ ) = kf kL2 (R+ ) .
The middle equality holds for all f ∈ L2 (R+ ) if and only if h satisfies the condition (3.2). This completes the proof of the theorem.
482
4. A class of integro-differential problems
In spite of having many useful applications (see [7]), not many integro-differential
equations can be solved in closed form. No application of convolution type transforms
of solving integro-differential was presented in recent investigations [3], [4], [13], [15].
In this section, we apply a general class of Fourier cosine and Kontorovich-Lebedev
generalized convolution transforms to solve a class of integro-differential problems,
which seems to be difficult to solve in closed form by using other techniques. Namely,
n−1
Q
γ
d2
d2
2
in case D = dx
− dx
, the transform f 7→ Kh (f ) := D(h ∗ f ) is of the
2
2 + k
form
(4.1)
(Kh f )(x) =
k=1
n−1
Z ∞Z ∞ 1
1 d2 Y
d2
2
+
k
[e−u cosh(x+v)
−
π2 dx2
dx2
u
0
0
k=1
+ e−u cosh(x−v) ]h(u)f (v) du dv.
We consider the integro-differential problem
(4.2)
f (x) + (Kh f )(x) = g(x),
d2k−1
f (0) = 0, k = 1, n,
dx2k−1
lim f (k) (x) = 0, k = 0, 2n − 1.
x→∞
Here, h, g are given functions in L1 (R+ ), and f is the unknown function.
In order to give a solution of the above problem, note that, for h ∈ L1 (R+ ) such
that h(0) = 0, lim h′ (x) = 0, the Fourier sine and Fourier cosine transforms of h, h′
x→∞
exist. Furthermore,
(4.3)
Z ∞
1
h′ (x) sin xy dx
(Fs h′ )(y) = √
2π 0
Z ∞
∞
1
h(x) sin xy − y
=√
h(x) cos xy dx
0
2π
0
= − y(Fc h)(y),
and
(4.4)
1
(Fc h )(y) = √
2π
′
Z
∞
h′ (x) cos xy dx = y(Fs h)(y).
0
483
Theorem 4.1. Suppose the following condition holds:
γ
(2n − 1)!
1
1− √
(y) 6= 0,
Fc h ∗
cosh2n τ /2
2π · 22n−1
(4.5)
∀y > 0.
Then problem (4.2) has a unique solution in L1 (R+ ) whose closed form is
(4.6)
f (x) = g(x) + (g ∗ l)(x),
Fc
where l ∈ L1 (R+ ) is defined by
√
γ
((2n − 1)!/ 2π · 22n−1 )Fc (h ∗ cosh−2n τ /2)(y)
.
(Fc l)(y) =
√
γ
1 − ((2n − 1)!/ 2π · 22n−1 )Fc (h ∗ cosh−2n τ /2)(y)
P r o o f. The equation (4.2) can be rewritten in the form
(4.7)
f (x) +
n−1
γ
d2 Y d2
2
{(h ∗ f )(x)} = g(x).
+
k
−
2
2
dx
dx
k=1
Applying the Fourier cosine transform to both sides of (4.7), by original conditions
(4.2) and by virtue of the factorization equality (1.12) and formulas (4.3), (4.4) we
obtain
(4.8)
(Fc f )(y) − y
2
n−1
Y
k=1
(y 2 + k 2 ) ·
1
K −1 [h](y)(Fc f )(y) = (Fc g)(y).
y sinh πy
Using formula (see relation (1.9.3) in [5])
Fc
√
n−1
2π · 22n−1 y Y 2
(y + k 2 ),
(y)
=
(2n − 1)! sinh πy
cosh2n τ /2
k=1
1
we have
(2n − 1)!
1
(Fc f )(y) − √
(y)K −1 [h](y)(Fc f )(y) = (Fc g)(y),
Fc
cosh2n τ /2
2π · 22n−1
or equivalently,
i
h
γ
1
(2n − 1)!
(y) = (Fc g)(y).
Fc h(τ ) ∗
(Fc f )(y) 1 − √
2n
2π · 22n−1
cosh τ /2
484
From condition (4.5) we get
(4.9)
√
γ
((2n − 1)!/ 2π · 22n−1 )Fc (h ∗ cosh−2n τ /2)(y)
(Fc f )(y) = 1 +
(Fc g)(y).
√
γ
1 − ((2n − 1)!/ 2π · 22n−1 )Fc (h ∗ cosh−2n τ /2)(y)
Recall that the Wiener-Levy theorem [8] states that if f is the Fourier transform of
an L1 (R) function, and ϕ is analytic in a neighborhood of the origin that contains
the domain {f (y), ∀y ∈ R}, and ϕ(0) = 0, then ϕ(f ) is also the Fourier transform of
an L1 (R) function. For the Fourier cosine transform it means that if f is the Fourier
cosine transform of an L1 (R+ ) function, and ϕ is analytic in a neighborhood of the
origin that contains the domain {f (y), ∀y ∈ R+ }, and ϕ(0) = 0, then ϕ(f ) is also
the Fourier cosine transform of an L1 (R+ ) function.
By the given condition (4.5) the function ϕ(z) = z/(1 + z) satisfies the conditions
of the Wiener-Levy theorem, and therefore, there exists a unique function l ∈ L1 (R+ )
such that
√
γ
((2n − 1)!/ 2π · 22n−1 )Fc (h ∗ cosh−2n τ /2)(y)
.
(Fc l)(y) =
√
γ
1 − ((2n − 1)!/ 2π · 22n−1 )Fc (h ∗ cosh−2n τ /2)(y)
Therefore the equation (4.9) becomes
(Fc f )(y) = (1 + (Fc l)(y))(Fc g) = Fc (g + g ∗ l)(y),
Fc
which implies f (x) = g(x) + (g ∗ l)(x). The proof is complete.
Fc
References
[1] M. Abramowitz, I. A. Stegun: Handbook of Mathematical Functions, with Formulas,
Graphs and Mathematical Tables. U.S. Department of Commerce, Washington, 1964.
[2] R. A. Adams, J. J. F. Fournier: Sobolev Spaces, 2nd ed. Pure and Applied Mathematics
140. Academic Press, New York, 2003.
[3] F. Al-Musallam, V. K. Tuan: Integral transforms related to a generalized convolution.
Result. Math. 38 (2000), 197–208.
[4] L. E. Britvina: A class of integral transforms related to the Fourier cosine convolution.
Integral Transforms Spec. Funct. 16 (2005), 379–389.
[5] A. Erdélyi, W. Magnus, F. Oberhettinger, F. G. Tricomi: Tables of Integral Transforms,
Vol. I. Bateman Manuscript Project. California Institute of Technology. McGraw-Hill
Book Co., New York, 1954.
[6] H.-J. Glaeske, A. P. Prudnikov, K. A. Skórnik: Operational Calculus and Related Topics.
Analytical Methods and Special Functions 10. Chapman & Hall/CRC, Boca Raton,
2006.
[7] Y. N. Grigoriev, N. H. Ibragimov, V. F. Kovalev, S. V. Meleshko: Symmetries of Integro-Differential Equations. With Applications in Mechanics and Plasma Physics. Lecture Notes in Physics 806. Springer, Dordrecht, 2010.
485
[8] M. A. Najmark: Normed Algebras. Translated from the Second Russian Edition by Leo
F. Boron. 3rd Completely Revised American Ed. Wolters-Noordhoff Series of Monographs and Textbooks on Pure and Applied Mathematics. Wolters-Noordhoff Publishing, Groningen, 1972.
[9] A. P. Prudnikov, Y. A. Brychkov, O. I. Marichev: Integrals and Series Vol. 2: Special
Functions. Transl. from the Russian by N. M. Queen. Gordon & Breach Science Publishers, New York, 1986.
[10] I. N. Sneddon: Fourier Transforms. McGray-Hill Book Company, New York, 1950.
[11] E. C. Titchmarsh: Introduction to the Theory of Fourier Integrals. Third edition. Chelsea
Publishing Co., New York, 1986.
[12] T. Tuan: On the generalized convolution with a weight function for the Fourier cosine
and the inverse Kontorovich-Lebedev integral transformations. Nonlinear Funct. Anal.
Appl. 12 (2007), 325–341.
[13] V. K. Tuan: Integral transforms of Fourier cosine convolution type. J. Math. Anal. Appl.
229 (1999), 519–529.
[14] J. Wimp: A class of integral transforms. Proc. Edinb. Math. Soc., II. Ser. 14 (1964),
33–40.
[15] S. B. Yakubovich: Integral transforms of the Kontorovich-Lebedev convolution type. Collect. Math. 54 (2003), 99–110.
[16] S. B. Yakubovich, L. E. Britvina: Convolutions related to the Fourier and Kontorovich-Lebedev transforms revisited. Integral Transforms Spec. Funct. 21 (2010), 259–276.
Authors’ addresses: Nguyen Thanh Hong, High School for Gifted Students, Hanoi
National University of Education, 136 Xuan Thuy, Hanoi, Vietnam, e-mail: hongdhsp1@
yahoo.com; Trinh Tuan, Department of Mathematics, Electric Power University, 235 Hoang
Quoc Viet, Hanoi, Vietnam, e-mail:
[email protected]; Nguyen Xuan Thao, Faculty of Applied Mathematics and Informatics, Hanoi University of Technology, No. 1, Dai
Co Viet, Hanoi, Vietnam, e-mail:
[email protected].
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