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R E S E A R C H

Open Access

Identification problems for systems of

nonlinear evolution equations and functional

equations

Yurii E Anikonov

1

, ˙Ismet Gölgeleyen

2

and Mustafa Yildiz

2*

*Correspondence: [email protected] 2Department of Mathematics, Faculty of Arts and Sciences, Bülent Ecevit University, Incivez, Zonguldak, 67100, Turkey Full list of author information is available at the end of the article

Abstract

In this work, we consider two inverse problems for systems of nonlinear differential and differential-difference evolution equations. We propose a new technique for the solution of such inverse problems. We reduce the problem to a system of functional equations by using the given data and then we obtain the solution by the method of Kuczma (Functional Equations in a Single Variable, 1968).

Keywords: inverse problem; system of nonlinear evolution equations; functional equation

1 Introduction

Systems of nonlinear evolution equations are the mathematical models that are used to describe many complex phenomena arising in science and engineering. In the last few decades, considerable progress has been made in this theory. We refer to some recent books [–] for a complete survey of both the theory and its applications. However, most of these works have been focused on direct problems and there have been few results on inverse problems for systems of nonlinear evolution equations. Some inverse problems for kinetic and other evolution equations are discussed in [].

In this paper, we first consider the system of nonlinear evolution equations

∂wj

∂t =Ajwj(x,t) +fj(x)Bjwj(x,t) +gj(w,w, . . . ,wn), j= , , . . . ,n, ()

in the domain={(x,t) : (x,t)∈D×[a,b]}, whereD={x:|x|<τ}is an open domain in the Euclidean spaceRnof variablex= (x

,x, . . . ,xn),n≥;a,bare fixed constants;Aj,Bj

are some known finite differential operators with sufficiently differentiable coefficients and act only on the variablex.

The principal result of this work is to reduce inverse problems for systems () and () to a system of functional equations by using only four data of previous history. It is worth remembering here the classical work in mathematical modeling where the data of previous history were used. For example, using the laws of Kepler, Isaac Newton formulated the potential of gravitation and using the laws of Faraday and Ampère, James Clerk Maxwell obtained the differential equations for the electromagnetic field. More recently, Jay Wright

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Forrester who is known as the founder of system dynamics for the world economy used the experimental data of the years -.

2 Main results

We consider the following inverse problem:

Problem  Find the continuous functionsfj(x),gj(z) that satisfy system () and the data

equal to the number of equations in system () and differentials forxin the operatorsAj,

Bj,j= , , . . . ,n.

Theorem  If there exist constants qj∈(, )andαj> such that

Rj(x)≤qj, Sj(x)≤αj, j= , , . . .n,xD,

then the solution of Problemis given by the following formulas:

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Proof We sett=aandt=bin (), respectively, then by (), () we obtain

in which the functionsgj(ϕb(x)) are not included. The last equality is a functional equation

of the form

fj(x) =Rj(x)fj

λ(x)+Sj(x) ()

forfj(x).

Numerous examples and results of the theory and applications of functional equations can be found in [, ]. In order to findfj(x) in the functional equation (), the following

formula is presented in []:

fj(x) =

which completes the proof of the theorem.

Remark  We note that formula () can be written as

fj(x) =Sj(x) +

In fact, from the functional equation () we have the following relations:

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k–

If we add () and () we obtain formula (). Moreover, the series in () is convergent because from () by the hypothesis of Theorem  we have the majorizing series

αj+qjαj+qjαj+· · ·=αj

In that case the inverse problem is to determine the functionsf(x) andg(z) which satisfy relations ()-().

Then by ()-() we can have a system of equations

ψ(x) =ϕ(x) +f(x)

taking into account () we have

ψT(x) –ψ

λ(x)=ϕT(x) +f(x)ϕT(x)–(x)ϕ(y)|y=λ(x)–ϕ(y)|y=λ(x). The last equality is a functional equation forf(x) of the form

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Thus, if|R(x)| ≤q< ,|S(x)| ≤α, ≤xτ, then we obtain the following formulas: called the Kolmogorov-Petrovskii-Piskunov equation, which plays a fundamental role in a great number of models of reaction-diffusion processes in biology, chemistry, genetics, and so on.

Remark  Let us assume thatS(x) =  andR(x) =cin (), wherec>  is a constant. Then we obtain one of the most important iterative functional equations

sf(x) =(x), s=

c, ()

which is referred to as the Schröder equation [].

The following example is related with the caseR(x) = .

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Lemma  If the functionλ(x)is given in the special form

λ(x) = x ( + x α)α,

where xE,λ(x)∈E,E is a Banach space,α> is a fixed number,then we have

λ[k](x) = x ( +k x α)α

, k≥.

Proof The lemma can be proved by a straightforward induction; that is, we assume

λ[k](x) = x ( +k x α)α

and prove that

λ[k+](x) = x

( + (k+ ) x α)α.

Thus, we can write

λ[k+](x) =λλ[k](x)

= λ

[k](x) ( + λ[k](x) α)α

=

x

(+k )α

( + ( x (+k )α)

α)α

=

x

(+kxα)α

(+(k+))α

(+kxα)α

= x

( + (k+ ) x α)α

.

Corollary  If the relation

ϕT(x) =ϕ

x

( +|x|α)α

holds,then we have

λ(x) =ϕ–ϕT(x)

= x

( +|x|α)α

and solution()can be written as

f(x) = ∞

k=

k–

s=

R

x

( +s|x|α)α

S

x

( +k|x|α)α

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3 Inverse problem for a system of differential-difference equations

As for the second problem of this paper, we will consider the system of differential-difference equations

wj(x,t+h) =Ajwj(x,t) +fj(x)Bjwj(x,t) +gj

w(x,t), . . . ,wn(x,t)

()

with the following data:

wj|t=a=ϕja(x), wj(x,a+h) =ψja(x),

wj|t=b=ϕjb(x), wj(x,b+h) =ψjb(x),

()

wherej= , , . . . ,n;his a constant, the operatorsAj,Bjact only on the variablex,|x| ≤τ,

atbandw= (w,w, . . . ,wn).

System () is important in modeling various social and economical problems. In par-ticular, they arise in mathematical description of a fluctuating population of organisms, in control systems, and in economic studies of business cycles [–].

Problem  Determine the continuous functionsfj(x) andgj(w) from system ()-().

The result which we have obtained for Problem  is as follows.

Theorem  If there exist constants qj∈(, )andαj> such that

Rj(x)≤qj, Sj(x)≤αj, j= , , . . . ,n,xD,

then the solution of the inverse problem()-()is given by the following formulas:

fj(x) =

k=

k–

s=

Rj

λ[s](x)Sj

λ[k](x),

gj(z) =ψja

ϕa–(z)–Ajϕja(y)|y=ϕa–(z)–fj

ϕa–(z)Bjϕja(y)|y=ϕ–a(z).

Theorem  can be proved in the same way as in the proof of Theorem .

We note that two important issues occur in studying the both inverse problems for equa-tions () and (). The first one is to investigate the related functional equation and the second one is to find the inverse mappingx=ϕa–(y) on the domain|x| ≤τ,|y| ≤τ.

Example  Finally, let us consider the problem of determination of the functionsf(x) and

g(w) from the differential-difference equation

w(x,t+h) =w ∂x +f(x)

∂w

∂x

+g(w), ≤xτ, ≤tT, ()

and the data

w(x, ) =ϕ(x), w(x,h) =ψ(x),

w(x,T) =ϕT(x), w(x,T+h) =ψT(x),

()

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Problem ()-() can be reduced to a functional equation which is exactly the same as () in Example . Hence the solution can be obtained by ()-().

4 Conclusion

In this paper, we have studied two inverse problems for systems of nonlinear differential and differential-difference evolution equations. First, we reduced the problems to some systems of functional equations by using the given data and then we obtained the solutions by the tools in []. We note that the proposed method can provide a new perspective for the theoretical and numerical study of inverse problems for such a kind of nonlinear systems.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors contributed equally to the manuscript. All authors read and approved the final manuscript.

Author details

1Sobolev Institute of Mathematics, Siberian Branch of Russian Academy of Science, Acad. Koptyug prosp. 4, Novosibirsk, 630090, Russia.2Department of Mathematics, Faculty of Arts and Sciences, Bülent Ecevit University, Incivez, Zonguldak, 67100, Turkey.

Acknowledgements

The authors are grateful to anonymous referees for their constructive comments and suggestions, which have greatly improved this paper. This work is supported by Eren Enerji Elektrik Uretim A.S.

Received: 10 January 2016 Accepted: 26 May 2016 References

1. Kuczma, M: Functional Equations in a Single Variable. PWN, Warszawa (1968)

2. Debnath, L: Nonlinear Partial Differential Equations for Scientists and Engineers. Birkhäuser, Boston (2012) 3. Leung, AW: Nonlinear Systems of Partial Differential Equations: Applications to Life and Physical Sciences. World

Scientific, Singapore (2009)

4. Zheng, S: Nonlinear Evolution Equations. Chapman & Hall/CRC, Boca Raton (2004) 5. Anikonov, YE: Inverse Problems for Kinetic and Other Evolution Equations. VSP, Utrecht (2001)

6. Kuczma, M, Choczewski, B, Ger, R: Iterative Functional Equations. Cambridge University Press, Cambridge (1990) 7. Bellman, RE, Cooke, KL: Differential-Difference Equations. Academic Press, New York (1963)

8. Jones, GS: On the nonlinear differential-difference equationf(x) = –αf(x– 1){1 +f(x)}. J. Math. Anal. Appl.4, 440-469 (1962)

References

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