Abstract. Convolution inequalities and inverse problems play an important role in
mathematical analysis. This paper studies inverse inequalities for the Fourier cosine
convolution and the backward heat problem. We give new reverse inequalities
for the Fourier cosine convolution and their applications to inverse heat source
problems: ut = uxx + f(x; t); 0 < x < ∞; t > 0; our purpose is to evaluate the
stability of non-negative heat source f(x; t) from any observations u(x; t0), where
0 < t0 is a constant, t0 ≤ T + δ; T > 0; δ > 0; 0 < x < X; X > 0 or u(x0; t),
where 0 < x0 is a constant, 0 < t < T. Applying a new inverse inequality allow
us to evaluate heat source through some initial observations with space or time
variables.
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JOURNAL OF SCIENCE OF HNUE
Mathematical and Physical Sci., 2014, Vol. 59, No. 7, pp. 9-20
This paper is available online at
REVERSE INEQUALITIES FOR THE FOURIER COSINE CONVOLUTION
AND APPLICATIONS TO INVERSE HEAT SOURCE PROBLEMS
Nguyen Xuan Thao and Bui Minh Khoi
School of Applied Mathematics and Informatics,
Hanoi University of Science and Technology
Abstract. Convolution inequalities and inverse problems play an important role in
mathematical analysis. This paper studies inverse inequalities for the Fourier cosine
convolution and the backward heat problem. We give new reverse inequalities
for the Fourier cosine convolution and their applications to inverse heat source
problems: ut = uxx + f(x; t); 0 0; our purpose is to evaluate the
stability of non-negative heat source f(x; t) from any observations u(x; t0), where
0 0; > 0; 0 0 or u(x0; t),
where 0 < x0 is a constant, 0 < t < T . Applying a new inverse inequality allow
us to evaluate heat source through some initial observations with space or time
variables.
Keywords: Reverse inequalities, Fourier cosine convolution, one-dimensional
inverse, heat source.
1. Introduction
Inverse problems have developed robustly and attracted the attention of many
mathematicians in recent decades. Two examples are inverse problems for partial
differential equations [2, 4-7] and inverse problems for heat equations [1, 3, 8, 9]. Of
these, the problem in [9] is recent research on the reverse heat source problem using
reverse inequality for Laplace convolution. We show the following multidimensional heat
source equation (see [9]):
∂tu(x, t) = ∆u(x, t) + f(t)φ(x), x ∈ Rn, t > 0,
u(x, 0) = 0, x ∈ Rn,
Received March 20, 2014. Accepted September 30, 2014.
Contact Nguyen Xuan Thao, e-mail address: thao.nguyenxuan@hust.edu.vn
9
Nguyen Xuan Thao and Bui Minh Khoi
for φ is a given function and satisfies φ ≥ 0 in Rn, φ has compact support,{
φ ∈ C∞(Rn), n ≥ 4
φ ∈ L2(Rn), n ≤ 3.
We then estimate the stabilization of heat source f(t), 0 < t < T , from the observation
u(x0, t), 0 < t < T,
where x0 /∈ suppφ. We have the following theorem:
Theorem 1.1. ([9]) Let φ satisfy as above, and x0 /∈ suppφ. We set
p >
{
4
4−n , n ≤ 3,
1, n ≥ 4.
Then for an arbitrary δ > 0, there exists a constantC = C(x0, φ, T, p, δ, U) > 0 such that
||f ||Lp(0,T ) ≤ C||u(x0, .)||1/p
N
L1(0,T+δ)
for any f ∈ U, U = {f ∈ C [0, T ]; ||f ||C [0,T ] ≤ M, f changes the signs at most N-times},
M = const > 0, N ∈ N.
This theorem was proven using reverse inequality for Laplace convolution (see [9])
and heat source conditions that separate variables to f(t)φ(x), x ∈ Rn, the authors
estimated the stabilization of f(t) according to time variable, t, 0 < t < T .
In this paper, we study one-dimensional inverse heat source problem with heat
source f(x, t), x ∈ R+, which does not contain separate variables, as follows:
ut = uxx + f(x, t), 0 0, (1.1)
under the marginal condition
ux(0, t) = 0, ∀t > 0, (1.2)
ux(x, t)→ 0 when x→∞, (1.3)
u(x, t)→ 0 when x→∞, (1.4)
and the initial condition
u(x, 0) = 0, (1.5)
Here we need to estimate the stability of f(x, t) from any observations u(x, t0),
where 0 0, δ > 0, 0 0 or u(x0, t), where
0 < x0 = const, 0 < t < T . The main finding of this paper proves the reverse inequality
for Fourier cosine convolution (Section 3) and we then apply the new received result for
one-dimensional inverse heat source problem (1.1) - (1.5).
10
Reverse inequalities for the Fourier cosine convolution and applications to inverse heat source...
2. Some known results
We present some convolutions and convolution inequalities used in this article. First
of all, The Fourier cosine convolution is defined by [10]:
(f ∗
Fc
g)(x) =
1√
2π
+∞∫
0
f(y){g(x+ y) + g(|x− y|)}dy, x ∈ R+, (2.1)
for which the factorization property holds
Fc(f ∗
Fc
g)(y) = (Fcf)(y)(Fcg)(y), y ∈ R+, f, g ∈ L1(R+), (2.2)
where the Fourier cosine transformation is
(Fcf)(y) =
√
2
π
+∞∫
0
f(x)cos(xy)dx. (2.3)
The Laplace convolution is defined by [10]:
(f ∗
L
g)(x) =
x∫
0
f(t)g(x− t)dt, x > 0, (2.4)
for which the factorization property holds
L(f ∗
L
g)(p) = (Lf)(p)(Lg)(p), p ∈ C, Re p > α,
f, g are functions of exponential order, where the Laplace transform is of the form
(Lf)(p) =
+∞∫
0
e−xpf(x)dx.
Next, the norm of function f on Lp(A×B), where A,B ⊆ R+ is defined by
||f(x, t)||Lp(A×B) =
∫
B
∫
A
|f(x, t)|pdxdt
1/p
for p > 0.
Moreover, the following reverse convolution inequality holds (see [9]).
Proposition 2.1. ([9]) Let p ≥ 1, δ > 0, 0 ≤ α < T, and f, g ∈ L∞(0, T + δ) satisfy
0 ≤ f, g ≤M <∞, 0 < t < T + δ.
11
Nguyen Xuan Thao and Bui Minh Khoi
Then
||f ||Lp(α,T )||g||Lp(0,δ) ≤M (2p−2)/p
T+δ∫
α
t∫
α
f(s)g(t− s)ds
dt
1/p
In particular, for
(f ∗
L
g)(t) =
t∫
0
f(t− s)g(s)ds, 0 < t < T + δ
and α= 0, we have
||f ||Lp(0,T )||g||Lp(0,δ) ≤M (2p−2)/p||f ∗
L
g||1/p
L1(0;T+)
.
Although it has an important role the study of inverse problems, not many reverse
inequalities for convolutions have been studied. In next section, we study a new reverse
inequality for the Fourier cosine convolution and apply it to a certain inverse heat problem.
3. A new reverse inequality for the Fourier cosine convolution
In this section, we establish a new reverse inequality for the Fourier cosine
convolution of two functions f, g in two-dimensional space.
Theorem 3.1. Let p > 1, δ > 0, T > 0 and f, g ∈ L1(D) ∩ Lp(D), satisfy 0 ≤ f, g ≤
M <∞, (x, t) ∈ D, D = {(x, t) : 0 < x <∞, 0 < t ≤ T + δ }. Then we have
||f(x, t)||Lp(R+×(0,T ))||g(x, t)||Lp(R+×(0,δ)) 6M (2p−2)/p ∥u(x, t)∥1/pL1(R+×(0,T+δ)) ,
here,
u(x, t) =
√
2π
t∫
0
(
f(τ, ξ) ∗
Fc
g(τ, t− ξ)
)
(x)dξ.
Proof. Since 0 ≤ f, g ≤ M < ∞ for 0 < x < ∞, 0 < t ≤ T + δ and formula (2.1), we
have
t∫
0
+∞∫
0
fp(τ, ξ)gp(|x− τ |, t− ξ)dτdξ
=
t∫
0
+∞∫
0
fp−1(τ, ξ)gp−1(|x− τ |, t− ξ)f(τ, ξ)g(|x− τ |, t− ξ)dτdξ
12
Reverse inequalities for the Fourier cosine convolution and applications to inverse heat source...
≤M2p−2
t∫
0
+∞∫
0
f(τ, ξ)g(|x− τ |, t− ξ)dτdξ
≤M2p−2
t∫
0
+∞∫
0
f(τ, ξ){g(x+ τ, t− ξ)+ g(|x− τ |, t− ξ)}dτdξ
≤M2p−2
√
2π
t∫
0
(
f(τ, ξ) ∗
Fc
g(τ, t− ξ)
)
(x)dξ
≤M2p−2u(x, t).
Hence
T+δ∫
0
+∞∫
0
t∫
0
+∞∫
0
fp(τ, ξ)gp(|x− τ |, t− ξ)dτdξ
dxdt ≤M2p−2 T+δ∫
0
+∞∫
0
u(x, t) dxdt
(3.1)
On the other hand, by using Fubini’s theorem and changing the variables in integrals, we
have
T+δ∫
0
+∞∫
0
t∫
0
+∞∫
0
fp(τ, ξ)gp(|x− τ |, t− ξ)dτdξ
dxdt
=
+∞∫
0
T+δ∫
0
T+δ∫
ξ
+∞∫
0
f p(τ, ξ)gp(|x− τ |, t− ξ)dτdtdξdx
=
+∞∫
0
T+δ∫
0
+∞∫
0
T+δ∫
ξ
f p(τ, ξ)gp(|x− τ |, t− ξ)dtdτ
dξdx
=
+∞∫
0
T+δ∫
0
+∞∫
0
f p(τ, ξ)
T+δ∫
ξ
gp(|x− τ |, t− ξ)dt
dτ
dξdx
=
+∞∫
0
T+δ∫
0
+∞∫
0
f p(τ, ξ)
T+δ−ξ∫
0
gp(|x− τ |, y)dy
dτ
dξdx
≥
+∞∫
0
T∫
0
+∞∫
0
f p(τ, ξ)
δ∫
0
gp(|x− τ |, y)dy
dτ
dξdx
≥
T∫
0
+∞∫
0
f p(τ, ξ)
δ∫
0
+∞∫
0
gp(|x− τ |, y)dxdy
dτ
dξ
13
Nguyen Xuan Thao and Bui Minh Khoi
≥
T∫
0
+∞∫
0
f p(τ, ξ)
δ∫
0
+∞∫
τ
gp(x− τ, y)dxdy
dτ
dξ
≥
T∫
0
+∞∫
0
f p(τ, ξ)
δ∫
0
+∞∫
0
gp(z, y)dzdy
dτ
dξ
≥
T∫
0
+∞∫
0
f p(τ, ξ)dτdξ
δ∫
0
+∞∫
0
gp(z, y)dzdy. (3.2)
From (3.1), (3.2) we obtain
T∫
0
+∞∫
0
f p(τ, ξ)dτdξ
δ∫
0
+∞∫
0
gp(z, y)dzdy ≤M2p−2
T+δ∫
0
+∞∫
0
u(x, t) dxdt.
Thus
||f ||Lp(R+×(0,T ))||g||Lp(R+×(0,δ)) 6M (2p−2)/p ∥u(x, t)∥1/pL1(R+×(0,T+δ)) .
The proof of the theorem is complete.
Remark 3.1. For fixed 0 < t = t0 ≤ T + δ,
u(x, t0) =
√
2π
t0∫
0
(
f(τ, ξ) ∗
Fc
g(τ, t0 − ξ)
)
(x)dξ,
and if g(τ, t0 − ξ) ≥ g(τ, t0 − ξ0) for 0 ≤ ξ ≤ β, β = const, β < t0, as in the proof
Theorem 3.1, we have
||f ||Lp((0,X)×(0,β))||g(x, t0 − ξ0)||Lp(0,γ) 6M (2p−2)/p ∥u(x, t0)∥1/pL1(0,X+γ) .
Indeed, since 0 ≤ f, g ≤ M < ∞ for 0 < x < ∞, 0 < t ≤ T + δ and formula (2.1),
therefore
t0∫
0
+∞∫
0
f p(τ, ξ)gp(|x− τ |, t0 − ξ)dτdξ ≤M2p−2u(x, t0).
Hence
X+γ∫
0
t0∫
0
+∞∫
0
fp(τ, ξ)gp(|x− τ |, t0 − ξ)dτdξ
dx ≤M2p−2 X+γ∫
0
u(x, t0) dx, (3.3)
14
Reverse inequalities for the Fourier cosine convolution and applications to inverse heat source...
for X > 0, γ > 0. On the other hand, by using Fubini’s theorem, changing the variables
in integrals and since g(τ, t0 − ξ) ≥ g(τ, t0 − ξ0) for 0 ≤ ξ ≤ β, β = const, β < t0, we
have
X+γ∫
0
t0∫
0
+∞∫
0
fp(τ, ξ)gp(|x− τ |, t0 − ξ)dτdξ
dx
≥
t0∫
0
+∞∫
0
X+γ∫
0
f p(τ, ξ)gp(|x− τ |, t0 − ξ) dxdτdξ
≥
t0∫
0
X∫
0
X+γ∫
τ
f p(τ, ξ)gp(x− τ, t0 − ξ) dxdτdξ
≥
t0∫
0
X∫
0
X+γ−τ∫
0
fp(τ, ξ)gp(z, t0 − ξ) dzdτdξ
≥
β∫
0
X∫
0
γ∫
0
f p(τ, ξ)gp(z, t0 − ξ) dzdτdξ
≥
β∫
0
X∫
0
γ∫
0
f p(τ, ξ)gp(z, t0 − ξ0) dzdτdξ
≥
β∫
0
X∫
0
fp(τ, ξ)dτdξ
γ∫
0
gp(z, t0 − ξ0) dz. (3.4)
From (3.3), (3.4), we obtain
||f ||Lp((0,X)×(0,β))||g(x, t0 − ξ0)||Lp(0,γ) 6M (2p−2)/p ∥u(x, t0)∥1/pL1(0,X+γ) .
Remark 3.2. For fixed x = x0 > 0 then
u(x0, t) =
t∫
0
+∞∫
0
f(τ, ξ){g(x0 + τ, t− ξ)+g(|x0 − τ |, t− ξ)}dτdξ,
and if g(x0 + τ, ξ) ≥ g(x0 + τ0, ξ) for 0 ≤ τ ≤ α, α = const, as in the proof Theorem
3.1, we have
||f ||Lp((0,α)×(0,T ))||g(x0 + τ0, t)||Lp(0,δ) 6M (2p−2)/p ∥u(x0, t)∥1/pL1(0,T+δ) .
15
Nguyen Xuan Thao and Bui Minh Khoi
Indeed, since 0 ≤ f, g ≤M <∞ for 0 < x <∞, 0 < t ≤ T + δ, therefore
t∫
0
+∞∫
0
f p(τ, ξ)gp(x0 + τ, t− ξ)dτdξ ≤M2p−2u(x0, t).
Hence
T+δ∫
0
t∫
0
+∞∫
0
f p(τ, ξ)gp(x0 + τ, t− ξ)dτdξ
dt ≤M2p−2 T+δ∫
0
u(x0, t)dt. (3.5)
On the other hand, by using Fubini’s theorem, changing the variables in integrals and
since g(x0 + τ, ξ) ≥ g(x0 + τ0, ξ) for 0 ≤ τ ≤ α we have
T+δ∫
0
t∫
0
+∞∫
0
f p(τ, ξ)gp(x0 + τ, t− ξ)dτdξ
dt
=
T+δ∫
0
+∞∫
0
T+δ∫
ξ
fp(τ, ξ)gp(x0 + τ, t− ξ)dtdτ
dξ
=
T+δ∫
0
+∞∫
0
f p(τ, ξ)
T+δ∫
ξ
gp(x0 + τ, t− ξ)dt
dτ
dξ
=
T+δ∫
0
+∞∫
0
f p(τ, ξ)
T+δ−ξ∫
0
gp(x0 + τ, y)dy
dτ
dξ
≥
T∫
0
+∞∫
0
f p(τ, ξ)
δ∫
0
gp(x0 + τ, y)dy
dτ
dξ
≥
T∫
0
α∫
0
f p(τ, ξ)
δ∫
0
gp(x0 + τ, y)dy
dτ
dξ
≥
T∫
0
α∫
0
f p(τ, ξ)
δ∫
0
gp(x0 + τ0, y)dy
dτ
dξ
≥
T∫
0
α∫
0
f p(τ, ξ)dτdξ
δ∫
0
gp(x0 + τ0, y)dy. (3.6)
From (3.5), (3.6), we obtain
||f ||Lp((0,α)×(0,T ))||g(x0 + τ0, t)||Lp(0,δ) 6M (2p−2)/p ∥u(x0, t)∥1/pL1(0,T+δ) .
16
Reverse inequalities for the Fourier cosine convolution and applications to inverse heat source...
Remark 3.3. In the reverse inequality for Laplace convolution (Proposition 2.1), the
functions f , g are considered in one-dimensional space. As in Theorem 3.1, our reverse
inequality for Fourier cosine convolution has a more complicated kernel (see (2.1), (2.4))
with the functions f , g in two-dimensional space.
4. Applications to inverse heat source problems
In this section, we get the result of inverse problem (1.1) - (1.5) when applying
Theorem 3.1 with to be specific, an evaluation of the stabilization of the heat source
f(x, t) according to space or time.
Theorem 4.1. We consider the heat equation (1.1) with marginal conditions (1.2) - (1.4)
and an initial condition (1.5) where f ∈ L1(D) ∩ Lp(D); 0 ≤ f ≤ M < ∞, for every
(x, t) ∈ D andM is a constant, D = {(x, t) : 0 0, T >
0, p > 1. Then we have
(i) For 0 0, δ > 0, 0 0, we evaluate
the stability of heat source f(x, t) from any observations u(x, t0):
||f ||Lp((0,X)×(0,t0−γ2/2)) 6 C1 ∥u(x, t0)∥1/pL1(0,X+γ) ,
for C1 is constant.
(ii) For 0 < x0 = const, 0 < t < T , 1 < p < 2, α ≥ 0 we evaluate the stability of
heat source f(x, t) from any observations u(x0, t):
||f ||Lp((0,α)×(0,T )) 6 C2 ∥u(x0, t)∥1/pL1(0,T+δ) ,
for C2 is constant.
Proof. (i) Considering t as a parameter, by applying Fourier cosine transformation (2.3)
on both sides of (1.1), therefore:
∂
∂t
(Fcu(x, t))(y) = −y2(Fcu(x, t))(y) + (Fcf(x, t))(y), (4.1)
for the condition (Fcu(x, 0))(y) = 0.
Equation (4.1) has root as
(Fcu(x, t))(y) = C(y)e
−y2t + e−y
2t
t∫
0
(Fcf(x, ξ))(y)e
y2ξdξ,
since (Fcu(x, 0))(y) = 0 thus C(y) = 0.
17
Nguyen Xuan Thao and Bui Minh Khoi
Then, by using formula (2.2) we have
(Fcu(x, t))(y) = e
−y2t
t∫
0
(Fcf(x, ξ))(y)e
y2ξdξ =
t∫
0
(Fcf(x, ξ))(y)e
−y2(t−ξ)dξ
=
t∫
0
(Fcf(x, ξ))(y)Fc
(
e−τ
2/4(t−ξ)
√
t− ξ
)
(y)dξ
=
t∫
0
Fc
(
f(τ, ξ) ∗
Fc
e−τ
2/4(t−ξ)
√
t− ξ
)
(y)dξ
= Fc
t∫
0
(
f(τ, ξ) ∗
Fc
e−τ
2/4(t−ξ)
√
t− ξ
)
(x) dξ
(y).
Therefore
u(x, t) =
t∫
0
(
f(τ, ξ) ∗
Fc
e−τ
2/4(t−ξ)
√
t− ξ
)
(x)dξ
=
1√
2π
t∫
0
+∞∫
0
f(τ, ξ)
(
e−(x−τ)
2/4(t−ξ)
√
t− ξ +
e−(x+τ)
2/4(t−ξ)
√
t− ξ
)
dτdξ.
Set
g(τ, ξ) =
e−τ
2/4ξ
√
ξ
,
then there exists a constant N such that 0 ≤ g(τ, ξ) ≤ N < ∞ (0 < τ < ∞, 0 < ξ ≤
T + δ). Set M1 = max {M,N}. We have function g(τ, t0 − ξ) which does not decrease
in 0 ≤ ξ ≤ β = t0 − γ2/2, 0 < γ2/2 ≤ t0, thus, by applying Remark 3.1 we evaluate
the stability of function f(x, t) from any observations u(x, t0), where 0 < t0 = const ≤
T + δ, T > 0, δ > 0, 0 0:
||f ||Lp((0,X)×(0,t0−γ2/2))
e−x
2/4t0
√
t0
Lp(0,γ)
6M (2p−2)/p1 (2π)1/2p ∥u(x, t0)∥1/pL1(0;X+
) .
Hence
||f ||Lp((0,X)×(0,t0−γ2/2)) 6 C1 ∥u(x, t0)∥1/pL1(0,X+γ) ,
for
C1 = M
(2p−2)/p
1 (2π)
1/2p
e−x
2/4t0
√
t0
−1
Lp(0,γ)
.
18
Reverse inequalities for the Fourier cosine convolution and applications to inverse heat source...
(ii) On the other hand, the function g(x0+τ, ξ) does not increase in 0 ≤ τ ≤ α, thus,
by applying Remark 3.2 we evaluate the stability of function f(x, t) from any observations
u(x0, t), where 0 < x0 = const, 0 < t < T , 1 < p < 2, α is an arbitrary non-negative
constant:
||f ||Lp((0,α)×(0,T ))
e−(x0+α)
2/4t
√
t
Lp(0,δ)
6M (2p−2)/p1 (2π)1/2p ∥u(x0, t)∥1/pL1(0;T+) .
Hence
||f ||Lp((0,α)×(0,T )) 6 C2 ∥u(x0, t)∥1/pL1(0,T+δ) ,
for
C2 = M
(2p−2)/p
1 (2π)
1/2p
e−(x0+α)
2/4t
√
t
−1
Lp(0;)
.
The proof of the theorem is complete.
Remark 4.1. For fixed x = x0 > 0, 0 < t = t0 ≤ T + δ then
u(x0, t0) =
1√
2π
t0∫
0
+∞∫
0
f(τ, ξ){g(x0 + τ, t0 − ξ)+ g(|x0 − τ |, t0 − ξ)}dτdξ,
for t0 ≥ (x0 + α)2/2, p > 1, as in the proof of Theorem 4.1, we obtain:
||f ||Lp((0,α)×(0,t0−(x0+α)2/2)) 6 C (u(x0, t0))1/p ,
for
C = M
(2p−2)/p
1 (2π)
1/2p
(
e−(x0+α)
2/4t0
√
t0
)−1
.
In [9], the authors evaluated the stabilization of f(t) according to time
variable t (Theorem (1.1)) by using a reverse inequality for the Laplace convolution
(Proposition 2.1) and heat source conditions that separate variables to f(t)φ(x), x ∈ Rn.
Here, we evaluate the stabilization of heat source f(x, t), x ∈ R+, which does not separate
variables, according to space x or time t from some initial observations (Theorem 4.1), or
in both variables from an initial observation (Remark 4.1) using the reverse inequality for
the Fourier cosine convolution which was obtained in Theorem 3.1.
Here is no any numerical example to illustrate the validity/effectiveness of the main
result. In the future, we can apply the above results to give a numerical solution for a
specific heat source problem and evaluate the advantages of the new method compared to
old results.
19
Nguyen Xuan Thao and Bui Minh Khoi
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