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R E S E A R C H

Open Access

Hyers-Ulam stability of the first-order

matrix difference equations

Soon-Mo Jung

*

*Correspondence:

[email protected] Mathematics Section, College of Science and Technology, Hongik University, Sejong, 339-701, Republic of Korea

Abstract

In this paper, we prove the Hyers-Ulam stability of the first-order linear homogeneous matrix difference equationsxi=Axi–1andxi–1=Axifor all integersiZ.

MSC: Primary 39A45; 39B82; secondary 39A06; 39B42

Keywords: difference equation; matrix difference equation; recurrence; Hyers-Ulam stability; approximation

1 Introduction

Throughout this paper, letnbe a fixed positive integer. Thenth order linear homogeneous difference equation with constant coefficients is of the form

ai=αai–+αai–+· · ·+αnain, ()

whereα,α, . . . ,αnare constants. For example, the second-order difference equation with

constant coefficients has the form

ai=αai–+βai–. ()

The solution of () is called the Fibonacci numbers whenα=β= ,a= , anda= ,

Lucas numbers whenα=β= ,a= , anda= , Pell numbers whenα= ,β= ,a= ,

anda= , Pell-Lucas numbers whenα= ,β= , anda=a= , and Jacobsthal numbers

ifα= ,β= ,a= , anda= .

The polynomial

p(x) =xnαxn––αxn––· · ·–αn–xαn

is called the characteristic polynomial of the difference equation ().

If the rootsr,r, . . . ,rnof the characteristic polynomial are distinct, then the solution of

the difference equation () is given by

ai=kri+kri+· · ·+knrin,

where the coefficientsk,k, . . . ,knare uniquely determined under the initial conditions of

the difference equation.

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If the characteristic polynomial has rootsr,r, . . . ,rdwith multiplicitym,m, . . . ,md,

respectively, then the solution of the difference equation () is given by

ai= d

j= mj

k=

cjkik–rij,

where thecjk are constants andm+m+· · ·+md=n(see [, ]). For the Hyers-Ulam

stability of the linear difference equations, we may refer to [–]. Let (Cn, ·

n) be a complex normed space, each of whose elements is a column vector,

and let Cn×nbe a vector space consisting of all (n×n) complex matrices. We choose a

norm · n×non Cn×nwhich is compatible with · n,i.e., both norms obey

ABn×nAn×nBn×n and AxnAn×nxn ()

for all A, BCn×nandxCn.

A matrix difference equation is a difference equation with matrix coefficients in which the value of vector of variables at one point is dependent on the values of preceding (suc-ceeding) points.

In this paper, we prove the Hyers-Ulam stability of the first-order linear homogeneous matrix difference equationsxi= Axi–andxi–= Axifor all integersiZ, where the

tran-sition matrix A is nonsingular. More precisely, we prove that if a sequence{yi}iZsatisfies

the inequalityyi– Ayi–nεfor alliZresp.yi–– Ayinεfor alliZ, then there

exist a solution{xi}iZCnof the first-order matrix difference equation () resp. () and

a constantK>  such thatyixinfor all integersi≥. (We refer the reader to

[–] for the exact definition of Hyers-Ulam stability.)

It should be remarked that many interesting theorems have been proved in [, ] con-cerning the linear (or nonlinear) recurrences. Especially in , the Hyers-Ulam stability of the first-order matrix difference equations has been proved in [] in a general setting. The substantial difference of this paper from [] lies in the fact that the stability problems for the ‘backward’ difference equations have been treated in Section  of this paper.

2 Hyers-Ulam stability ofxi=Axi–1

In this section, we investigate the Hyers-Ulam stability of the first-order linear homoge-neous matrix difference equation

xi= Axi– ()

for all integersiZ, where

xi=

⎛ ⎜ ⎜ ⎜ ⎜ ⎝

xi

xi

.. .

xin

⎞ ⎟ ⎟ ⎟ ⎟ ⎠∈C

n and A=

⎛ ⎜ ⎜ ⎜ ⎜ ⎝

a a · · · an

a a · · · an

..

. ... . .. ...

anan · · · ann

⎞ ⎟ ⎟ ⎟ ⎟ ⎠∈C

n×n.

Theorem . Given a fixed positive integer n,let(Cnn)and(Cn×nn×n)be complex

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property().Assume that the transition matrixACn×nis nonsingular and{ε

i}iZis a

sequence of nonnegative real numbers.If a sequence{yi}iZCnsatisfies the inequality

yi– Ayi–nεi ()

for all iZ,then there exists a solution{xi}iZCnof the first-order matrix difference

equation()such that

yixini

k=εkAin–×kn+Ain×ny–xn (for i≥),

i

k=εk+iA–kn×n+A––ni×ny–xn (for i< ).

Proof Assume that a sequence{yi}iZCnsatisfies the inequality () for alliZ. First,

we assume thatiis a nonnegative integer. It then follows from () and () that

yi– Aiynyi– Ayi–n+Ayi–– Ayi–n

+Ayi–– Ayi–n+· · ·+Ai–y– Aiynyi– Ayi–n+An×nyi–– Ayi–n

+An×nyi–– Ayi–n+· · ·+Ain–×ny– Aynεi+An×nεi–+An×nεi–+· · ·+Ain–×

=Ain×n

i

k=

εkAn×kn. ()

It is obvious that a sequence{xi}iZCnsatisfies the first-order matrix difference

equa-tion () if and only if

xi= Aix ()

for eachiZ, where we set Ai= (A–)ifor all negative integersi. Hence, by () and (),

we have

yixinyi– Aiyn+Aiy– Aixn+Aix–xin

i

k=

εkAin–×kn+Ain×ny–xn

for any integeri≥.

On the other hand, we supposeiis a negative integer. For this case, it follows from () and () that

yi– Aiyn

=yi

A––iyn

yi– A–yi+n+A–yi+–

A–yi+n

+A–yi+–

A–yi+n+· · ·+A–

i–

y––

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A–

n×nAyiyi+n+A –

n×nAyi+–yi+n

+A–

n×nAyi+–yi+n+· · ·+A ––i

n×nAy––ynA–n×nεi++A–

n×nεi++A –

n×nεi++· · ·+A ––i

n×

=

i

k=

εk+iA–kn×n. ()

Moreover, by () and (), we have

yixinyi

A––iyn+A–

i

y–

A––ixn

+A––ix–xin

i

k=

εk+iA– k n×n+A

––i

n×ny–xn

for all integersi< .

In view of (), if we assume the initial condition in the previous theorem, we can easily prove the uniqueness of the sequence{xi}iZas we see in the following corollary.

Corollary . Given a fixed positive integer n,let(Cn,·

n)and(Cn×nn×n)be complex

normed spaces,whose elements are column vectors resp. (n×n)complex matrices,with the property().Assume that the transition matrixACn×nis nonsingular and{ε

i}iZis

a sequence of nonnegative real numbers.If a sequence{yi}iZCnsatisfies the inequality

()for all iZ,then there exists a unique solution{xi}iZCnof the first-order matrix

difference equation()with the initial conditionx=ysuch that

yixini

k=εkAni–×kn (for i≥),

i

k=εk+iA–kn×n (for i< ).

Some of the most important matrix norms are induced byp-norms. For ≤p≤ ∞, the matrix norm induced by thep-norm,

Ap:=sup x=

Axp xp

,

is called the matrixp-norm. For example, we get

A=max

≤jn n

i=

|aij| and A∞=max ≤in

n

j= |aij|.

It is well known that the matrixp-norm, together with thep-norm, satisfies the conditions in (), where

x=

n

j=

|xj| and x∞=max ≤jn|xj|

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In the following corollary, we prove the Hyers-Ulam stability of the second-order linear homogeneous difference equation with constant coefficients.

Corollary . Let(C, ·

∞)and(C×, · ∞)be complex normed spaces and letα,β,

γ be complex numbers satisfying the conditions

α+ β= , β= , γ = . ()

Assume thatε> is an arbitrary constant.If a sequence{ai}iZof complex numbers

satis-fies the inequality

|aiαai––βai–| ≤ε ()

for all iZ,then there exists a sequence{ci}iZof complex numbers such that c–=a–,

c=a,ci=αci–+βci–,and

|aici| ≤ i

k=εAi∞–k (for i≥),

i

k=εA–k∞ (for i< ),

whereA=max{|α|+|β/γ|,|γ|}andA–

∞=max{|/γ|,|α/β|+|γ/β|}.

Proof If we define a sequence{bi}iZof complex numbers bybi=γai–, it then follows

from () that

|aiαai––βγbi–| ≤ε,

|biγai–|= 

for anyiZ. If we set

yi:=

ai

bi

and A:=

α βγ γ

,

then we get

yi– Ayi–∞≤ε

for eachiZ.

According to Corollary ., there exists a unique solution{xi}iZCof the first-order

matrix difference equation () with the initial conditionx=

a

γa–

such that

yixi∞≤ i

k=εAi∞–k (fori≥),

i

k=εA–k∞ (fori< ).

In view of (), this last inequality implies that

ai γai–

– Ai

aγa–

∞ ≤

i

k=εAi∞–k (fori≥),

i

k=εA–k∞ (fori< ).

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Since the transition matrix A has two distinct eigenvalues λ =

α–√α+β

 andλ =

α+√α+β

 , which are the roots of the characteristic equationλ

αλβ= , the matrix A

can be expressed as

A= CDC– ()

for every integeri≥. Using this equality, it follows from () that

βλ, which are roots of the characteristic equationω

+α

βω

β = . Hence, the matrix A

–may be expressed as

A–=

for all integersi< . Thus, the inequality () yields

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Finally, considering (), (), and [], Theorem ., if we set

Furthermore, it is not difficult to show that the sequence{ci}iZsatisfies the second-order

linear difference equation

 , we analogously obtain

limβ→∞A∞· A–∞= .

Ifαandβare simultaneously small in absolute value, then the second-order difference equation () has the Hyers-Ulam stability as we see in the following example.

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3 Hyers-Ulam stability ofxi–1=Axi

In practical applications, we sometimes consider the first-order linear homogeneous ma-trix difference equation

xi–= Axi ()

instead of (), where the transition matrix A is a nonsingular matrix of Cn×n.

We now investigate the Hyers-Ulam stability of the matrix difference equation ().

Theorem . Given a fixed positive integer n,let(Cnn)and(Cn×nn×n)be complex

normed spaces,whose elements are column vectors resp. (n×n)complex matrices,with the property().Assume that the transition matrixACn×nis nonsingular and{εi}iZis a

sequence of nonnegative real numbers.If a sequence{yi}iZCnsatisfies the inequality

yi–– Ayinεi ()

for all iZ,then there exists a solution{xi}iZCnof the first-order matrix difference

equation()such that

yixini

k=εkA–ni+–×nk+A–in×ny–xn (for i≥),

i

k=εk+iAkn–×n+An×iny–xn (for i< ).

()

Proof Assume that a sequence{yi}iZCnsatisfies the inequality () for alliZ. First,

we assume thatiis a nonnegative integer. Then, by () and (), we have

yi– Aiynyi– A–yi–n+A–yi–– A–yi–n

+A–yi–– A–yi–n+· · ·+Ai+y– AiynεiA–n×n+εi–A–

n×n+εi–A –

n×n+· · ·+εA –i

n×n

=

i

k=

εkA– i+–k n×n .

Obviously, a sequence{xi}iZCnsatisfies the first-order matrix difference equation

() if and only if

xi= Aix ()

for alliZ, where we set Ai= (A–)ifor each integeri≥. Hence, we get

yixinyi– Aiyn+Aiy– Aixn+Aix–xin

i

k=

εkA– i+–k n×n +A

–i

n×ny–xn

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On the other hand, ifiis a negative integer, then it follows from () and () that

yi– Aiyn=yi– Ayi+n+Ayi+– Ayi+n

+Ayi+– Ayi+n+· · ·+Ai–y–– Aiynεi++εi+An×n+εi+An×n+· · ·+εAni×–n

=

i

k=

εk+iAkn–×n.

Thus, by () and the last inequality, we obtain

yixinyi– Aiyn+Aiy– Aixn+Aix–xin

≤ –i

k=

εk+iAkn–×n+An×iny–xn

for any integeri< .

We now remark that if we apply Theorem . in place of the proof of Theorem ., then we would obtain an inequality () below, which seems not to be better than the inequality () given in Theorem ., as we see in the following remark, whose proof we omit.

Remark . Given a fixed positive integern, let (Cn, ·

n) and (Cn×n, · n×n) be complex

normed spaces, whose elements are column vectors resp. (n×n) complex matrices, with the property (). Assume that the transition matrix ACn×nis nonsingular and{ε

i}iZis

a sequence of nonnegative real numbers. If a sequence{yi}iZCnsatisfies the inequality

() for alliZ, then there exists a solution{xi}iZCnof the first-order matrix difference

equation () such that

yixinεi++

i+

k=εkA–ni+–×nk+A–ni+×nAy–x–n (fori≥), εi++

i–

k= εk+i+Ank×n+An–×i–nAy–x–n (fori< ).

()

In view of (), assuming the initial condition in the previous theorem leads to the uniqueness of the sequence{xi}iZ, as we see in the following corollary.

Corollary . Given a fixed positive integer n,let(Cn,·

n)and(Cn×nn×n)be complex

normed spaces,whose elements are column vectors resp. (n×n)complex matrices,with the property().Assume that the transition matrixACn×nis nonsingular and{ε

i}iZis

a sequence of nonnegative real numbers.If a sequence{yi}iZCnsatisfies the inequality

()for all iZ,then there exists a solution{xi}iZCnof the first-order matrix difference

equation()with the initial conditionx=ysuch that

yixini

k=εkA–ni+–×nk (for i≥),

i

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In the next corollary, we investigate the Hyers-Ulam stability of the second-order linear homogeneous difference equation with constant coefficients

ai=αai++βai+. ()

Corollary . Let(C, ·

∞)and(C×, · ∞)be complex normed spaces and letα,β, γ be complex numbers satisfying the conditions

α+ β= , β= , γ = . ()

Assume thatε> is an arbitrary constant.If a sequence{ai}iZof complex numbers

satis-fies the inequality

|aiαai+–βai+| ≤ε ()

for all iZ, then there exists a sequence{ci}iZ of complex numbers such that c=a,

c=a,ci=αci++βci+,and

|aici| ≤ i

k=εA–i∞+–k (for i≥),

i

k=εAk∞– (for i< ),

whereA∞=max{|α|+|β/γ|,|γ|}andA–∞=max{|/γ|,|α/β|+|γ/β|}.

Proof If we define a sequence{bi}iZof complex numbers bybi=γai+, it then follows

from () that

|aiαai+–βγbi+| ≤ε, |biγai+|= 

for everyiZ. Hence, if we set

yi:=

ai

bi

and A:=

α βγ γ

,

then we get

yi– Ayi+∞≤ε

for alliZ.

According to Corollary ., there exists a unique solution{xi}iZof the first-order matrix

difference equation () with the initial conditionx=

a

γa

such that

yixi∞≤ i

k=εA–i∞+–k (fori≥),

i

k=εAk∞– (fori< ).

In view of () and the last inequality, we have

ai γai+

– Ai

aγa

∞ ≤

i

k=εA–i∞+–k (fori≥),

i

k=εAk∞– (fori< ).

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Since the matrix A has two distinct eigenvaluesλ=

α–√α+β

 andλ=

α+√α+β  , as we

did in the proof of Corollary ., ifiis a negative integer, then we get

Ai= 

for all integersi< . By using () and this equality, we have

On the other hand, the inverse matrix A–has two distinct eigenvaluesω =–

nonnegative integer, then we obtain

Ai=A–i= –

for all integersi≥. Thus, it follows from () and the last equality that

Finally, considering () and (), we define

ci:=

Furthermore, it is easy to verify that the sequence{ci}iZsatisfies

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Thus, we get

Ifβ is large in absolute value, then the second-order difference equation () has the Hyers-Ulam stability as we see in the next example.

Example . Given anε> , assume that a sequence{ai}iZof complex numbers satisfies

 . Using these values, Corollary . implies that there exists a sequence {ci}iZof complex numbers such thatc=a,c=a,ci=ci++ ci+, and If we apply Corollary . with the inequality

The inequalities () and () are equivalent. In this case with inequality () or (), there is more efficiency with Corollary . than Corollary . for any integeri.

Competing interests

The author declares that he has no competing interests.

Author’s contributions

The author read and approved the final manuscript.

Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2013R1A1A2005557).

Received: 26 February 2015 Accepted: 17 May 2015 References

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3. Brzde¸k, J, Jung, S-M: A note on stability of a linear functional equation of second order connected with the Fibonacci numbers and Lucas sequences. J. Inequal. Appl.2010, Article ID 793947 (2010)

4. Brzde¸k, J, Jung, S-M: A note on stability of an operator linear equation of the second order. Abstr. Appl. Anal.2011, Article ID 602713 (2011)

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6. Brzde¸k, J, Popa, D, Xu, B: The Hyers-Ulam stability of linear equations of higher orders. Acta Math. Hung.120, 1-8 (2008)

7. Popa, D: Hyers-Ulam-Rassias stability of a linear recurrence. J. Math. Anal. Appl.309, 591-597 (2005)

8. Popa, D: Hyers-Ulam stability of the linear recurrence with constant coefficients. Adv. Differ. Equ.2005, 101-107 (2005)

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10. Czerwik, S: Functional Equations and Inequalities in Several Variables. World Scientific, Singapore (2002) 11. Hyers, DH: On the stability of the linear functional equation. Proc. Natl. Acad. Sci. USA27, 222-224 (1941) 12. Hyers, DH, Isac, G, Rassias, TM: Stability of Functional Equations in Several Variables. Birkhäuser, Boston (1998) 13. Jung, S-M: Hyers-Ulam-Rassias Stability of Functional Equations in Nonlinear Analysis. Springer Optimization and Its

Applications, vol. 48. Springer, New York (2011)

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References

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Conveyor Balanced separately in different balancing machines and sections. The Vibration checking probes are attach to the spindle to the spindle to check vibrations. The

Abstract— Taguchi and Response Surface Method of Design of Experiments are utilized to optimize the process parameters of Electric Discharge Machining in order to get