# The inverse problem of the heat equation with periodic boundary and integral overdetermination conditions

- Fatma Kanca
^{1}Email author

**2013**:108

https://doi.org/10.1186/1029-242X-2013-108

© Kanca; licensee Springer. 2013

**Received: **26 November 2012

**Accepted: **24 February 2013

**Published: **18 March 2013

## Abstract

In this paper the inverse problem of finding the time-dependent coefficient of heat capacity together with the solution of a heat equation with periodic boundary and integral overdetermination conditions is considered. The conditions for the existence and uniqueness of a classical solution of the problem under consideration are established. A numerical example using the Crank-Nicolson finite-difference scheme combined with the iteration method is presented.

## Keywords

## 1 Introduction

**Definition 1** The pair $\{p(t),u(x,t)\}$ from the class $C[0,T]\times {C}^{2,1}({D}_{T})\cap {C}^{1,0}({\overline{D}}_{T})$, for which conditions (1)-(4) are satisfied and $p(t)\ge 0$ on the interval $[0,T]$, is called a classical solution of the inverse problem (1)-(4).

The parameter identification in a parabolic differential equation from the data of integral overdetermination condition plays an important role in engineering and physics [1–6]. This integral condition in parabolic problems is also called heat moments are analyzed in [4].

Boundary value problems for parabolic equations in which one or two local classical conditions are replaced by heat moments [5–9]. In [9], a physical-mechanical interpretation of the integral conditions was also given. Various statements of inverse problems on determination of this coefficient in a one-dimensional heat equation were studied in [1–3, 5, 6, 10, 11]. In the papers [1, 3, 5], the coefficient is determined from heat moment. Boundary value problems and inverse problems for parabolic equations with periodic boundary conditions are investigated in [10, 12].

In the present work, one heat moment is used with a periodic boundary condition for the determination of a source coefficient.The existence and uniqueness of the classical solution of the problem (1)-(4) is reduced to fixed point principles by applying the Fourier method.

The paper organized as follows. In Section 2, the existence and uniqueness of the solution of the inverse problem (1)-(4) is proved by using the Fourier method. In Section 3, the continuous dependence upon the data of the inverse problem is shown. In Section 4, the numerical procedure for the solution of the inverse problem using the Crank-Nicolson scheme combined with the iteration method is given. Finally, in Section 5, numerical experiments are presented and discussed.

## 2 Existence and uniqueness of the solution of the inverse problem

We have the following assumptions on the data of the problem (1)-(4).

(A_{1}) $E(t)\in {C}^{1}[0,T]$, $E(t)<0$, ${E}^{\mathrm{\prime}}(t)\ge 0$, $\mathrm{\forall}t\in [0,T]$;

_{2}) $\phi (x)\in {C}^{4}[0,1]$;

- (1), ${\phi}^{\mathrm{\prime}}(0)={\phi}^{\mathrm{\prime}}(1)$, ${\phi}^{\mathrm{\prime}\mathrm{\prime}}(0)={\phi}^{\mathrm{\prime}\mathrm{\prime}}(1)$, ${\int}_{0}^{1}x\phi (x)\phantom{\rule{0.2em}{0ex}}dx=E(0)$;$\phi (0)=\phi (1)$
- (2), $n=1,2,\dots $ ;${\phi}_{n}\ge 0$

_{3}) $F(x,t)\in C({\overline{D}}_{T})$; $F(x,t)\in {C}^{4}[0,1]$ for arbitrary fixed $t\in [0,T]$;

- (1), ${F}_{x}(0,t)={F}_{x}(1,t)$, ${F}_{xx}(0,t)={F}_{xx}(1,t)$;$F(0,t)=F(1,t)$
- (2), $n=1,2,\dots $ ;${F}_{n}(t)>0$
- (3), $\mathrm{\forall}t\in [0,T]$;${\sum}_{n=1}^{\mathrm{\infty}}2\pi n({\phi}_{n}+{\int}_{0}^{T}{F}_{n}(\tau )\phantom{\rule{0.2em}{0ex}}d\tau )\le {E}^{\mathrm{\prime}}(t)$

where ${\phi}_{n}={\int}_{0}^{1}\phi (x)sin(2\pi nx)\phantom{\rule{0.2em}{0ex}}dx$, ${F}_{n}(t)={\int}_{0}^{1}F(x,t)sin(2\pi nx)\phantom{\rule{0.2em}{0ex}}dx$, $n=0,1,2,\dots $ .

**Theorem 2**

*Let the assumptions*(A

_{1})-(A

_{3})

*be satisfied*.

*Then the following statements are true*:

- (1)
*The inverse problem*(1)-(4)*has a solution in*${Q}_{T}$; - (2)
*The solution of the inverse problem*(1)-(4)*is unique in*${Q}_{{T}_{0}}$,*where the number*${T}_{0}$ ($0<{T}_{0}<T$)*is determined by the data of the problem*.

*Proof*By applying the standard procedure of the Fourier method, we obtain the following representation for the solution of (1)-(3) for arbitrary $p(t)\in C[0,T]$:

_{2}) and (1) of (A

_{3}), the series (5) and its

*x*-partial derivative are uniformly convergent in ${\overline{Q}}_{T}$ since their majorizing sums are absolutely convergent. Therefore, their sums $u(x,t)$ and ${u}_{x}(x,t)$ are continuous in ${\overline{Q}}_{T}$. In addition, the

*t*-partial derivative and the

*xx*-second order partial derivative series are uniformly convergent in ${Q}_{T}$. Thus, we have $u(x,t)\in {C}^{2,1}({Q}_{T})\cap {C}^{1,0}({\overline{Q}}_{T})$. In addition, ${u}_{t}(x,t)$ is continuous in ${\overline{Q}}_{T}$. Differentiating (4) under the assumption (A

_{1}), we obtain

*M*as follows:

Compactness of *K* is verified by analogy to [6]. By virtue of the Schauder fixed point theorem, we have a solution $p(t)\in C[0,T]$ of equation (7).

which implies that $p=q$. By substituting $p=q$ in (9), we have $u=v$. □

## 3 Continuous dependence of $(p,u)$ upon the data

**Theorem 3** *Under assumptions* (A_{1})-(A_{3}), *the solution* $(p,u)$ *of the problem* (1)-(4) *depends continuously upon the data for small* *T*.

The proof of the theorem is verified by analogy to [5].

## 4 Numerical method

We use the finite difference method with a predictor-corrector type approach that is suggested in [2]. Apply this method to the problem (1)-(4).

*h*and

*τ*. [13] The Crank-Nicolson scheme for (1)-(4) is as follows:

where $1\le i\le {N}_{x}$ and $0\le j\le {N}_{t}$ are the indices for the spatial and time steps respectively, ${u}_{i}^{j}=u({x}_{i},{t}_{j})$, ${\varphi}_{i}=\phi ({x}_{i})$, ${F}_{i}^{j}=F({x}_{i},{t}_{j})$, ${x}_{i}=ih$, ${t}_{j}=j\tau $. At the $t=0$ level, adjustment should be made according to the initial condition and the compatibility requirements.

*x*from 0 to 1 and using (3) and (4), we obtain

where ${E}^{j}=E({t}_{j})$, ${(Fin)}^{j}={\int}_{0}^{1}xF(x,{t}_{j})\phantom{\rule{0.2em}{0ex}}dx$, $j=0,1,\dots ,{N}_{t}$.

*s*th iteration step ${p}^{j(s)}$, ${u}_{i}^{j(s)}$, respectively. In numerical computation, since the time step is very small, we can take ${p}^{j+1(0)}={p}^{j}$, ${u}_{i}^{j+1(0)}={u}_{i}^{j}$, $j=0,1,2,\dots ,{N}_{t}$, $i=1,2,\dots ,{N}_{x}$. At each $(s+1)$th iteration step, we first determine ${p}^{j+1(s+1)}$ from the formula

The system of equations (17)-(19) can be solved by the Gauss elimination method, and ${u}_{i}^{j+1(s+1)}$ is determined. If the difference of values between two iterations reaches the prescribed tolerance, the iteration is stopped, and we accept the corresponding values ${p}^{j+1(s+1)}$, ${u}_{i}^{j+1(s+1)}$ ($i=1,2,\dots ,{N}_{x}$) as ${p}^{j+1}$, ${u}_{i}^{j+1}$ ($i=1,2,\dots ,{N}_{x}$), on the $(j+1)$th time step, respectively. By virtue of this iteration, we can move from level *j* to level $j+1$.

## 5 Numerical example and discussions

In this section, we present examples to illustrate the efficiency of the numerical method described in the previous section.

Let us apply the scheme which was explained in the previous section for the step sizes $h=0.01$, $\tau =\frac{h}{8}$.

## 6 Conclusions

The inverse problem regarding the simultaneous identification of the time-dependent coefficient of heat capacity together with the temperature distribution in a one-dimensional heat equation with periodic boundary and integral overdetermination conditions has been considered. This inverse problem has been investigated from both theoretical and numerical points of view. In the theoretical part of the article, the conditions for the existence, uniqueness and continuous dependence upon the data of the problem have been established. In the numerical part, a numerical example using the Crank-Nicolson finite-difference scheme combined with the iteration method is presented.

## Declarations

### Acknowledgements

Dedicated to Professor Hari M Srivastava.

## Authors’ Affiliations

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