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ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu

LAPLACE TRANSFORM AND GENERALIZED HYERS-ULAM STABILITY OF LINEAR DIFFERENTIAL EQUATIONS

QUSUAY H. ALQIFIARY, SOON-MO JUNG

Abstract. By applying the Laplace transform method, we prove that the linear differential equation

y(n)(t) +

n−1

X

k=0

αky(k)(t) =f(t)

has the generalized Hyers-Ulam stability, whereαkis a scalar,yandf aren times continuously differentiable and of exponential order.

1. Introduction

In 1940, Ulam [24] posed a problem concerning the stability of functional equa- tions: “Give conditions in order for a linear function near an approximately linear function to exist.” A year later, Hyers [5] gave an answer to the problem of Ulam for additive functions defined on Banach spaces: Let X1 and X2 be real Banach spaces andε >0. Then for every functionf :X1→X2 satisfying

kf(x+y)−f(x)−f(y)k ≤ε (x, y∈X1),

there exists a unique additive functionA:X1→X2with the property kf(x)−A(x)k ≤ε (x∈X1).

After Hyers’s result, many mathematicians have extended Ulam’s problem to other functional equations and generalized Hyers’s result in various directions (see [3, 6, 10, 18]). A generalization of Ulam’s problem was recently proposed by re- placing functional equations with differential equations: The differential equation ϕ(f, y, y0, . . . , y(n)) = 0 has Hyers-Ulam stability if for a givenε >0 and a function y such that |ϕ(f, y, y0, . . . , y(n))| ≤ε, there exists a solution ya of the differential equation such that |y(t)−ya(t)| ≤ K(ε) and limε→0K(ε) = 0. If the preceding statement is also true when we replace εand K(ε) by ϕ(t) and Φ(t), whereϕ,Φ are appropriate functions not depending on y andya explicitly, then we say that the corresponding differential equation has the generalized Hyers-Ulam stability (or Hyers-Ulam-Rassias stability).

2000Mathematics Subject Classification. 44A10, 39B82, 34A40, 26D10.

Key words and phrases. Laplace transform method; differential equations;

generalized Hyers-Ulam stability.

c

2014 Texas State University - San Marcos.

Submitted March 5, 2014. Published March 21, 2014.

1

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Ob loza seems to be the first author who has investigated the Hyers-Ulam stability of linear differential equations (see [14, 15]). Thereafter, Alsina and Ger published their paper [1], which handles the Hyers-Ulam stability of the linear differential equationy0(t) =y(t): If a differentiable functiony(t) is a solution of the inequality

|y0(t)−y(t)| ≤ ε for any t ∈ (a,∞), then there exists a constant c such that

|y(t)−cet| ≤3εfor allt∈(a,∞).

Those previous results were extended to the Hyers-Ulam stability of linear dif- ferential equations of first order and higher order with constant coefficients in [12, 22, 23] and in [13], respectively. Furthermore, Jung has also proved the Hyers-Ulam stability of linear differential equations (see [7, 8, 9]). Rus investigated the Hyers-Ulam stability of differential and integral equations using the Gronwall lemma and the technique of weakly Picard operators (see [20, 21]). Recently, the Hyers-Ulam stability problems of linear differential equations of first order and sec- ond order with constant coefficients were studied by using the method of integral factors (see [11, 25]). The results given in [8, 11, 12] have been generalized by Cimpean and Popa [2] and by Popa and Ra¸sa [16, 17] for the linear differential equations ofnth order with constant coefficients.

Recently, Rezaei, Jung and Rassias have proved the Hyers-Ulam stability of linear differential equations by using the Laplace transform method (see [19]).

In this paper, by using the Laplace transform method, we prove that the linear differential equation of thenth order

y(n)(t) +

n−1

X

k=0

αky(k)(t) =f(t)

has the generalized Hyers-Ulam stability, whereαk is a scalar,yandf arentimes continuously differentiable and of exponential order, respectively.

2. Preliminaries

Throughout this paper,Fwill denote either the real fieldRor the complex field C. A functionf : (0,∞)→Fis said to be of exponential order if there are constants A, B∈Rsuch that

|f(t)| ≤AetB

for allt >0. For each functionf : (0,∞)→Fof exponential order, we define the Laplace transform off by

F(s) = Z

0

f(t)e−stdt.

There exists a unique number −∞ ≤ σ < ∞ such that this integral converges if

<(s)> σand diverges if<(s)< σ, where<(s) denotes the real part of the (complex) numbers. The number σis called the abscissa of convergence and denoted byσf. It is well known that|F(s)| →0 as<(s)→ ∞. Furthermore,f is analytic on the open right half plane{s∈C:<(s)> σ}and we have

d

dsF(s) =− Z

0

te−stf(t)dt (<(s)> σ).

The Laplace transform off is sometimes denoted byL(f). It is well known thatL is linear and one-to-one.

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Conversely, letf(t) be a continuous function whose Laplace transformF(s) has the abscissa of convergenceσf, then the formula for the inverse Laplace transforms yields

f(t) = 1 2πi lim

T→∞

Z α+iT

α−iT

F(s)estds= 1 2π

Z

−∞

e(α+iy)tF(α+iy)dy

for any real constantα > σf, where the first integral is taken along the vertical line

<(s) =αand converges as an improper Riemann integral and the second integral is used as an alternative notation for the first integral (see [4]). Hence, we have

L(f)(s) = Z

0

f(t)e−stdt (<(s)> σf) L−1(F)(t) = 1

2π Z

−∞

e(α+iy)tF(α+iy)dy (α > σf).

The convolution of two integrable functionsf, g: (0,∞)→Fis defined by (f∗g)(t) :=

Z t

0

f(t−x)g(x)dx.

ThenL(f∗g) =L(f)L(g).

Lemma 2.1 ([19]). Let P(s) = Pn

k=0αksk and Q(s) = Pm

k=0βksk, where m, n are nonnegative integers with m < n andαk, βk are scalars. Then there exists an infinitely differentiable function g: (0,∞)→Fsuch that

L(g) =Q(s)

P(s) (<(s)> σP) and

g(i)(0) =

(0 fori∈ {0,1, . . . , n−m−2}, βmn fori=n−m−1

whereσP = max{<(s) :P(s) = 0}.

Lemma 2.2 ([19]). Given an integer n > 1, let f : (0,∞) → F be a continuous function and letP(s) be a complex polynomial of degreen. Then there exists ann times continuously differentiable functionh: (0,∞)→F such that

L(h) = L(f)

P(s) (<(s)>max{σP, σf}),

whereσP = max{<(s) :P(s) = 0} andσf is the abscissa of convergence forf. In particular, it holds that h(i)(0) = 0for every i∈ {0,1, . . . , n−1}.

3. Main Results

LetFdenote eitherRorC. In the following theorem, using the Laplace transform method, we investigate the generalized Hyers-Ulam stability of the linear differential equation of first order

y0(t) +αy(t) =f(t). (3.1)

Theorem 3.1. Letαbe a constant inFand letϕ: (0,∞)→(0,∞)be an integrable function. If a continuously differentiable function y : (0,∞) → F satisfies the inequality

|y0(t) +αy(t)−f(t)| ≤ϕ(t) (3.2)

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for allt >0, then there exists a solutionyα: (0,∞)→Fof the differential equation (3.1)such that

|y(t)−yα(t)| ≤e−<(α)t Z t

0

e<(α)xϕ(x)dx

for any t >0.

Proof. If we define a functionz: (0,∞)→Fbyz(t) :=y0(t) +αy(t)−f(t) for each t >0, then

L(y)−y(0) +L(f)

s+α = L(z)

s+α. (3.3)

If we setyα(t) :=y(0)e−αt+ (E−α∗f)(t), whereE−α(t) =e−αt, thenyα(0) =y(0) and

L(yα) = y(0) +L(f)

s+α = yα(0) +L(f)

s+α . (3.4)

Hence, we get

L yα0(t) +αyα(t)

=sL(yα)−yα(0) +αL(yα) =L(f).

SinceLis a one-to-one operator, it holds that y0α(t) +αyα(t) =f(t).

Thus,yα is a solution of (3.1).

Moreover, by (3.3) and (3.4), we obtainL(y)− L(yα) =L(E−α∗z). Therefore, we have

y(t)−yα(t) = (E−α∗z)(t). (3.5) In view of (3.2), it holds that

|z(t)| ≤ϕ(t) (3.6)

for allt >0, and it follows from the definition of convolution, (3.5), and (3.6) that

|y(t)−yα(t)|=|(E−α∗z)(t)|

=

Z t

0

E−α(t−x)z(x)dx

≤ Z t

0

e−α(t−x) ϕ(x)dx

≤e−<(α)t Z t

0

e<(α)xϕ(x)dx

for allt >0. (We remark that Rt

0e<(α)xϕ(x)dxexists for each t >0 providedϕis

an integrable function.)

Corollary 3.2. Letαbe a constant inFand letϕ: (0,∞)→(0,∞)be an integrable function such that

Z t

0

e<(α)(x−t)ϕ(x)dx≤Kϕ(t) (3.7)

for allt >0 and for some positive real constantK. If a continuously differentiable function y: (0,∞)→Fsatisfies the inequality (3.2)for all t >0, then there exists a solution yα: (0,∞)→Fof the differential equation (3.1)such that

|y(t)−yα(t)| ≤Kϕ(t) for any t >0.

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In the following remark, we show that there exists an integrable function ϕ : (0,∞)→(0,∞) satisfying the condition (3.7).

Remark 3.3. Letαbe a constant in Fwith<(α)>−1. If we defineϕ(t) =Aet for allt >0 and for someA >0, then we have

Z t

0

e<(α)(x−t)ϕ(x)dx= Z t

0

e<(α)(x−t)Aexdx

= 1

1 +<(α)

Aet−Ae−<(α)t

≤ 1

1 +<(α)ϕ(t) for eacht >0.

Now, we apply the Laplace transform method to the proof of the generalized Hyers-Ulam stability of the linear differential equation of second order

y00(t) +βy0(t) +αy(t) =f(t). (3.8) Theorem 3.4. Let α andβ be constants in F such that there exist a, b∈ F with a+b=−β,ab=α, anda6=b. Assume thatϕ: (0,∞)→(0,∞)is an integrable function. If a twice continuously differentiable functiony: (0,∞)→F satisfies the inequality

|y00(t) +βy0(t) +αy(t)−f(t)| ≤ϕ(t) (3.9) for allt >0, then there exists a solutionyc : (0,∞)→Fof the differential equation (3.8)such that

|y(t)−yc(t)| ≤ e<(a)t

|a−b|

Z t

0

e−<(a)xϕ(x)dx+ e<(b)t

|a−b|

Z t

0

e−<(b)xϕ(x)dx

for allt >0.

Proof. If we define a functionz: (0,∞)→Fbyz(t) :=y00(t) +βy0(t) +αy(t)−f(t) for eacht >0, then we have

L(z) = s2+βs+α

L(y)−[sy(0) +βy(0) +y0(0)]− L(f). (3.10) In view of (3.10), a functiony0: (0,∞)→Fis a solution of (3.8) if and only if

s2+βs+α

L(y0)−sy0(0)−[βy0(0) +y00(0)] =L(f). (3.11) Now, sinces2+βs+α= (s−a)(s−b), (3.10) implies that

L(y)−sy(0) + [βy(0) +y0(0)] +L(f)

(s−a)(s−b) = L(z)

(s−a)(s−b). (3.12) If we set

yc(t) :=y(0)aeat−bebt

a−b + [βy(0) +y0(0)]Ea,b(t) + (Ea,b∗f)(t), (3.13) whereEa,b(t) := eata−b−ebt, thenyc(0) =y(0). Moreover, since

y0c(t) =y(0)a2eat−b2ebt

a−b + [βy(0) +y0(0)]aeat−bebt a−b + d

dt(Ea,b∗f)(t), (Ea,b∗f)(t) = eat

a−b Z t

0

e−axf(x)dx− ebt a−b

Z t

0

e−bxf(x)dx,

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we have

y0c(0) =y(0)a2−b2

a−b + [βy(0) +y0(0)]a−b a−b

= (a+b)y(0) +βy(0) +y0(0)

=y0(0).

It follows from (3.13) that

L(yc) = syc(0) + [βyc(0) +yc0(0)] +L(f)

(s−a)(s−b) . (3.14)

Now, (3.11) and (3.14) imply that yc is a solution of (3.8). Applying (3.12) and (3.14) and considering the facts thatyc(0) =y(0),yc0(0) =y0(0), andL(Ea,b∗z) =

L(z)

(s−a)(s−b), we obtain L(y)− L(yc) = L(Ea,b ∗z) or equivalently, y(t)−yc(t) = (Ea,b∗z)(t).

In view of (3.9), it holds that|z(t)| ≤ϕ(t), and it follows from the definition of the convolution that

|y(t)−yc(t)|=|(Ea,b∗z)(t)|

≤ e<(a)t

|a−b|

Z t

0

e−<(a)xϕ(x)dx+ e<(b)t

|a−b|

Z t

0

e−<(b)xϕ(x)dx

for any t > 0. We remark that Rt

0e−<(a)xϕ(x)dx and Rt

0e−<(b)xϕ(x)dx exist for

anyt >0 providedϕis an integrable function.

Corollary 3.5. Let αand β be constants in F such that there exista, b∈F with a+b=−β,ab=α, anda6=b. Assume thatϕ: (0,∞)→(0,∞)is an integrable function for which there exists a positive real constant K with

Z t

0

e<(a)(t−x)+e<(b)(t−x)

ϕ(x)dx≤Kϕ(t) (3.15)

for allt >0. If a twice continuously differentiable functiony: (0,∞)→Fsatisfies the inequality(3.9)for allt >0, then there exists a solution yc: (0,∞)→Fof the differential equation(3.8)such that

|y(t)−yc(t)| ≤ K

|a−b|ϕ(t) for allt >0.

We now show that there exists an integrable functionϕ: (0,∞)→(0,∞) which satisfies the condition (3.15).

Remark 3.6. Letα and β be constants in F such that there exista, b ∈F with a+b=−β,ab=α,<(a)<1,<(b)<1, anda6=b. If we defineϕ(t) =Aetfor all t >0 and for someA >0, then we get

Z t

0

e<(a)(t−x)+e<(b)(t−x) ϕ(x)dx

= Z t

0

e<(a)(t−x)+e<(b)(t−x) Aexdx

= A

1− <(a)

et−e<(a)t

+ A

1− <(b)

et−e<(b)t

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≤ 1

1− <(a)+ 1 1− <(b)

ϕ(t)

for allt >0.

Similarly, we apply the Laplace transform method to investigate the generalized Hyers-Ulam stability of the linear differential equation ofnth order

y(n)(t) +

n−1

X

k=0

αky(k)(t) =f(t) (3.16) Theorem 3.7. Let α0, α1, . . . , αn be scalars in F with αn = 1, where n is an integer larger than 1. Assume that ϕ: (0,∞)→(0,∞)is an integrable function of exponential order. If anntimes continuously differentiable functiony: (0,∞)→F satisfies the inequality

y(n)(t) +

n−1

X

k=0

αky(k)(t)−f(t)

≤ϕ(t) (3.17)

for all t > 0, then there exist real constants M > 0 and σg and a solution yc : (0,∞)→Fof the differential equation (3.16)such that

|y(t)−yc(t)| ≤M Z t

0

eα(t−x)ϕ(x)dx

for allt >0andα > σg.

Proof. Applying integration by parts repeatedly, we derive L y(k)

=skL(y)−

k

X

j=1

sk−jy(j−1)(0)

for any integer k > 0. Using this formula, we can prove that a function y0 : (0,∞)→Fis a solution of (3.16) if and only if

L(f) =

n

X

k=0

αkskL(y0)−

n

X

k=1

αk k

X

j=1

sk−jy0(j−1)(0)

=

n

X

k=0

αkskL(y0)−

n

X

j=1 n

X

k=j

αksk−jy(j−1)0 (0)

=Pn,0(s)L(y0)−

n

X

j=1

Pn,j(s)y0(j−1)(0),

(3.18)

wherePn,j(s) :=Pn

k=jαksk−j forj∈ {0,1, . . . , n}.

Let us define a functionz: (0,∞)→Fby z(t) :=y(n)(t) +

n−1

X

k=0

αky(k)(t)−f(t) (3.19) for allt >0. Then, similarly as in (3.18), we obtain

L(z) =Pn,0(s)L(y)−

n

X

j=1

Pn,j(s)y(j−1)(0)− L(f).

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Hence, we get

L(y)− 1 Pn,0(s)

Xn

j=1

Pn,j(s)y(j−1)(0) +L(f)

= L(z)

Pn,0(s). (3.20) Letσf be the abscissa of convergence forf, lets1, s2, . . . , sn be the roots of the polynomial Pn,0(s), and let σP = max{<(sk) :k ∈ {1,2, . . . , n}}. For any s with

<(s)>max{σf, σP}, we set G(s) := 1

Pn,0(s) Xn

j=1

Pn,j(s)y(j−1)(0) +L(f)

. (3.21)

By Lemma 2.2, there exists anntimes continuously differentiable functionf0such that

L(f0) = L(f)

Pn,0(s) (3.22)

for allswith<(s)>max{σf, σP} and

f0(i)(0) = 0 (3.23)

for anyi∈ {0,1, . . . , n−1}.

Forj∈ {1,2, . . . , n}, we note that Pn,j(s) Pn,0(s) = 1

sj − Pj−1

k=0αksk

sjPn,0(s) (3.24)

for everys with<(s)>max{0, σP}. Applying Lemma 2.1 for the case ofQ(s) = Pj−1

k=0αksk andP(s) =sjPn,0(s), we can find an infinitely differentiable function gj such that

L(gj) = Pj−1

k=0αksk

sjPn,0(s) (3.25)

andgj(k)(0) = 0 for k∈ {0,1, . . . , n−1}.

Let

fj(t) := tj−1

(j−1)!−gj(t) (3.26)

forj∈ {1,2, . . . , n}. Then we have fj(i)(0) =

(0 fori∈ {0,1, . . . , j−2, j, j+ 1, . . . , n−1},

1 fori=j−1. (3.27)

If we define

yc(t) :=

n

X

j=1

y(j−1)(0)fj(t) +f0(t), then the conditions (3.23) and (3.27) imply that

yc(i)(0) =y(i)(0) (3.28)

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for everyi∈ {0,1, . . . , n−1}. Moreover, it follows from (3.21)–(3.28) that L(yc) =

n

X

j=1

y(j−1)(0)L(fj) +L(f0)

=

n

X

j=1

y(j−1)(0)1

sj − L(gj)

+ L(f) Pn,0(s)

= 1

Pn,0(s) Xn

j=1

Pn,j(s)y(j−1)(0) +L(f)

(3.29)

for eachswith <(s)>max{0, σf, σP}.

Now, (3.18) implies that yc is a solution of (3.16). Moreover, by (3.20) and (3.29), we have

L(y)− L(yc) = L(z)

Pn,0(s). (3.30)

Applying Lemma 2.1 for the case of Q(s) = 1 and P(s) = Pn,0(s), we find an infinitely differentiable functiong: (0,∞)→Fsuch that

L(g) = 1

Pn,0(s) (3.31)

which implies that g(t) =L−1

1 Pn,0(s)

= 1 2π

Z

−∞

e(α+iy)t 1

Pn,0(α+iy)dy for any real constantα > σg. Moreover, it holds that

|g(t−x)| ≤ 1 2π

Z

−∞

e(α+iy)(t−x)

1

|Pn,0(α+iy)|dy

≤ 1 2π

Z

−∞

eα(t−x) 1

|Pn,0(α+iy)|dy

≤ 1

2πeα(t−x) Z

−∞

1

|Pn,0(α+iy)|dy

≤M eα(t−x)

(3.32)

for allα > σg, where

M = 1 2π

Z

−∞

1

|Pn,0(α+iy)|dy <∞,

because n is an integer larger than 1. By (3.17) and (3.19), it also holds that

|z(t)| ≤ϕ(t) for allt >0.

In view of (3.30), (3.31), and (3.32), we obtain

L(y)− L(yc) =L(g)L(z) =L(g∗z).

Consequently, we havey(t)−yc(t) = (g∗z)(t) for anyt >0. Hence, it follows from (3.17), (3.19), and (3.32) that

|y(t)−yc(t)|=|(g∗z)(t)| ≤ Z t

0

|g(t−x)||z(x)|dx≤M Z t

0

eα(t−x)ϕ(x)dx

for allt >0 and for any real constantα > σg, which completes the proof.

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Corollary 3.8. Let α0, α1, . . . , αn be scalars in F with αn = 1, where n is an integer larger than1. Assume that there exist real constantsαandK >0such that a function ϕ: (0,∞)→(0,∞)satisfies

Z t

0

eα(t−x)ϕ(x)dx≤Kϕ(t)

for all t >0. Moreover, assume that the constant σg given in Theorem 3.7 is less thanα. If an ntimes continuously differentiable function y : (0,∞)→F satisfies the inequality (3.17) for all t >0, then there exist a real constants M > 0 and a solution yc: (0,∞)→F of the differential equation(3.16) such that

|y(t)−yc(t)| ≤KM ϕ(t) for allt >0.

Remark 3.9. Assume thatα <1. If we define ϕ(t) = Aet for all t > 0 and for someA >0, then we get

Z t

0

eα(t−x)ϕ(x)dx= Z t

0

eα(t−x)Aexdx= A

1−α et−eαt

≤ 1 1−αϕ(t) for allt >0.

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

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Qusuay H. Alqifiary

Department of Mathematics, University of Belgrade, Belgrade, Serbia.

University of Al-Qadisiyah, Al-Diwaniya, Iraq E-mail address:[email protected]

Soon-Mo Jung

Mathematics Section, College of Science and Technology, Hongik University, 339–701 Sejong, Korea

E-mail address:[email protected]

参照

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