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Research Article

On asymptotic stability of a class of time–delay systems

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Article: 1473709 | Received 31 Jan 2018, Accepted 30 Apr 2018, Published online: 04 Jun 2018

Abstract

In this paper, we give some new necessary and sufficient conditions for the asymptotic stability of a class of time–delay systems of the form xt+1axt+Axtk+xtl=0,t0, where a is a real number, A is a 2×2 real constant matrix, and k, l are positive numbers such that k > l.

PUBLIC INTEREST STATEMENT

In this paper, asymptotic stability of a class of time–delay systems was investigated. This system is a generalized version of modeling compound optical resonators by using a matrix instead of a scaler. In addition, since asymptotic stability is an interdisciplinary material, the asymptotic stability of these systems has a wide range of applications as biology, physics and medicine.

We know that for the time–delay equations, an equation is asymptotically stable if and only if all roots of the associated characteristic equation have negative real parts. Stability analysis, however, does not require the exact calculation of the characteristic roots. This analysis can be performed by D-subdivision method, which gives a necessary and sufficient condition for stability based on the coefficients or delay parameters of the characteristic equation. Thus, this method reveals a qualitative approach in order to prove the asymptotic stability of the systems. Consequently, we have created new necessary and sufficient conditions for the systems, which are asymptotically stable.

1. Introduction

In this paper, we study the asymptotic stability of the solutions of time–delay systems of the form

(1.1) xt+1axt+Axtk+xtl=0,t0,(1.1)

where a is a real number, A is a 2×2 real constant matrix, and k, l are positive numbers such that k > l. Time–delay systems are a type of differential equations in which the derivative of the unknown function at a certain time is given in terms of the values of the function at previous times. Also, they are called delay differential equations, retarded differential equations or differential-difference equations. On the other hand, since asymptotic stability is an interdisciplinary material, the asymptotic stability of these systems has a wide range of applications as biology, physics, and medicine. For instance, Naresh, Tripathi, Tchuenche, and Sharma (Citation2009) formulated a nonlinear mathematical model to study the framework of disease Epidemiology. As another example Ikeda and Watanabe (Citation2014) were investigated the stochastic differential equations and diffusion processes in their study about physic. Kruthika, Mahindrakar, and Pasumarthy (Citation2017) were studied stability analysis of nonlinear time–delayed systems with application to biological models. They analyzed the local stability of a gene-regulatory network and immunotherapy for cancer modeled as nonlinear time–delay systems.

Many authors have also focused on the asymptotic stability of time–delay systems. Some important studies about related subject can be examined from the below authors: Bellman and Cooke (Citation1963), Cooke and Grossman (Citation1982), Cooke and van den Driessche (Citation1986), Stepan (Citation1989), Freedman and Kuang (Citation1991), Kuang (Citation1993), Ruan and Wei (Citation2003), Elaydi (Citation2005), Matsunaga (Citation2008), Smith (Citation2010), Gray, Greenhalgh, Hu, Mao, and Pan (Citation2011), Khokhlovaa, Kipnis, and Malygina (Citation2011), Xu (Citation2012), Hrabalova (Citation2013), Nakajima (Citation2014), Liu, Jiang, Shi, Hayat, and Alsaedi (Citation2016), and Li, Ma, Xiao, and Yang (Citation2017). Also, an equation which is the special case of our system which is investigated by Kuang (Citation1993) and he demonstrated that the zero solution of the delay differential equation with two delays of the form

(1.2) xt+qxtk+xtl=0,t0,(1.2)

where k0, l0 and q is positive constant and is asymptotically stable if and only if

(1.3) 2qk+lcosklk+lπ2 < π.(1.3)

2. Preliminaries

It is known that for the time–delay equations, an equation is asymptotically stable if and only if all roots of the associated characteristic equation have negative real parts. Stability analysis, however, does not require the exact calculation of the characteristic roots; only the sign of the real part of the critical root must be determined. This analysis can be performed by D-subdivision method (see, e.g., Insperger & Stépán, Citation2011; Stepan, Citation1998), which gives a necessary and sufficient condition for stability based on the coefficients of the characteristic equation. The aim of this paper is to obtain new results for the asymptotic stability of zero solution of system (1.1), while the characteristic equation of system (1.1) has roots on the imaginary axis when A is a constant matrix. If we obtain xt=Pyt for a regular matrix P in (1.1), then we have the following system:

yt+1ayt+P1APytk+ytl=0,t0.

Thus, matrix A can be given one of the following two matrices in Jordan form 7:

I A=q1r0q2,q1,q2andrarerealconstants,
II A=qcosθsinθsinθcosθ,q,θarerealconstantsandθπ2.

Here we consider the case (II), the other case should be considered similarly. The characteristic equation of system (1.1) is given as

(2.1) F(λ): =detλI2+1aI2+Aeλk+eλl=0,(2.1)

where I2 is the 2×2 identity matrix. Using 2.1, we obtain

F(λ)=λ+1a+qcosθeλk+eλl2+qsinθeλk+eλl2
=λ+1a+qcosθeλk+eλl2iqsinθeλk+eλl2
=λ+1a+qeiθeλk+eλlλ+1a+qeiθeλk+eλl.

If we let

(2.2) fλ=λ+1a+qeλk+iθ+eλl+iθ,(2.2)

then we have

F(λ)=fλfλˉ,

where λˉ is the complex conjugate of any complex λ. Note that fλˉ=0 implies fλˉ=0.

3. Some auxiliary lemmas

In this section, we will investigate the distribution of the zeros of the characteristic equation of system (1.1). Thus, we state and prove some basic results on the roots of the characteristic equation of system (1.1).

Lemma 1 (Stepan, Citation1989) The zero solution of (1.1) is asymptotically stable if and only if all the roots of equation

(3.1) fλ,k,l=λ+1a+qeλk+iθ+eλl+iθ=0,(3.1)

Lie in the left half of the complex plane.

Since f is an analytic function of λ, k and l for the fixed numbersa,q and θ, one can regard the root λ=λk,l of (3.1) as a continuous function of k and l. The next lemma plays very important role for the main theorem.

Lemma 2 (Cooke & Grossman, Citation1982) As k and l vary, the sum of the multiplicities of the roots of (3.1) in the open right half-plane can change only if a root appears on or crosses the imaginary axis.

Consequently, we claim that (3.1) has only imaginary roots ±iω. We will determine how the value of k and l change as Equation (3.1) has roots on the imaginary axis. Now, we can write the characteristic Equation (3.1) as follows:

(3.2) λ+1a+qeλk+iθ+eλl+iθ=0.(3.2)

At the same time, we take λ=iω such that ωR. Firstly, since f0=1a+2qeiθ  0, we see that ω  0. For ω  0, we obtain

(3.3) f(iω)=iω+1a+qeiωk+iθ+eiωl+iθ=0.(3.3)

Using the real part and the imaginary part of (3.3)

(3.4) ω=qsinωkθ+sinωlθ,(3.4)
(3.5) a1=qcosωkθ+cosωlθ,(3.5)

which is equivalent to

(3.6) ω=2qsinωk+l2θcosωkl2,(3.6)
(3.7) a1=2qcosωk+l2θcosωkl2,(3.7)

is obtained.

Lemma 3. Suppose that, q > 0 and 0 < θπ2. Let λ=iω be a root 3.1 where ωπkl,πklnπ+2θk+l,nπ+2θk+l for n=0,1,2,, then the following conditions hold: i If 2qcosωkl22a120, then there exists no real number ω.

ii If 2qcosωkl22a12 > 0, then the real numbers ω, q and the delays k+l are as follows:

ω=±γ=±2qcosωkl22a12, q=a12cosωk+l2  θcosωkl2 and k+l=kn+ln± for n=0,1,2, where kn+ln+ and kn+ln;

kn+ln+=2γ2nπ+arccosa12qcosωkl2+θ
kn+ln=2γ2nπ+arccosa12qcosωkl2θ,

and iγ or iγ is a root of 3.1 for the sum of delays kn+ln+ or kn+ln.

Proof. By squaring both sides of (3.6) and (3.7), and adding them together, we obtain

(3.8) ω2+a12=2qcosωkl22.(3.8)

If 2qcosωkl22a120, then statement (3.8) implies ω2 < 0, contradicts with ω2 > 0. Since ω  0, condition i is verified; that is, (3.1) has no root on the imaginary axis for all k>l > 0.

On the other hand, if 2qcosωkl22a12 > 0, statement 3.8 implies that

(3.9) ω=±2qcosωkl22a12.(3.9)

If we let

γ=2qcosωkl22a12,

then we can write ω=±γ. By (3.7), we have

q=a1cosωk+l2θcosωkl2.

Now, we will show that iγ is a root of (3.1).

In the case of ω=γ, since cosωkl2 > 0 for ω0,πklnπ+2θk+l and using 3.6

(3.10) sinωk+l2θ > 0,(3.10)

is obtained. Thus, we use (3.6) and (3.7), we have

ωk+l2θ=2nπ+arccosa12qcosωkl2n=0,1,2,,

which yields kn+ln+. Also, from (3.6) and (3.7), we obtain

sinarccosa12qcosωkl2=γ2qcosωkl2

because of

arccosa12qcosωkl2=arcsinγ2qcosωkl2ifa10πarcsinγ2qcosωkl2ifa1 < 0.

Hence, for the case k+l=kn+ln+, iγ is a root of (3.1). Indeed,

fiω=iω+1a+qeiωkθ+eiωlθ.
=i2qcosωkl22a12+1a+2qcosωkl2eiωk+l2θ,
=i2qcosωkl22a12+1a+
+2qcosωkl2ei2nπ+arccosa12qcosωkl2,
=i2qcosωkl22a12+1a+2qcosωkl2×
×cosarccosa12qcosωkl2isinarccosa12qcosωkl2,
=i2qcosωkl22a12i2qcosωkl22a12,
=0.

Thus, this implies that iγ is a root of (3.1). Similarly, in the case ω < 0, it can be shown that iγ is a root of (3.1) for the sum of delays kn+ln. The proof is completed.

When q > 0, we have the following analogous result.

Lemma 4. Suppose that, q<0 and 0 < θπ2. Let λ=iω be a root of (3.1) where ωπkl,πklnπ+2θk+l,nπ+2θk+l for n=0,1,2,, then the following conditions hold:

i If 2qcosωkl22a120, then there exists no real number ω.

ii If 2qcosωkl22a12 > 0, then the real numbers ω, q and the delays k+l are as follows:

ω=±γ=±2qcosωkl22a12, q=a12cosωk+l2θcosωkl2 and k+l=αn+βn± for n=0,1,2,, where αn+βn+ and αn+βn;

αn+βn+=2γ2nπarccosa12qcosωkl2+θ
αn+βn=2γ2n+2πarccosa12qcosωkl2θ,

and iγ or iγ is a root of (3.1) for the sum of delays αn+βn+ or αn+βn.

Proof. The proof is similar to Lemma 3.

Remark 1. For q > 0, from the definitions of kn+ln±;

minkn+ln±:n=0,1,=k0+l0ifa12qcosθcosωkl2 < 0k0+l0+ifa12qcosθcosωkl20,

is obtained. Similarly, for q < 0,we obtain from the definitions of αn+βn± as follows:

minαn+βn±:n=0,1,={α0+β0+ifa12qcosθcosωkl2 < 0α0+β0ifa12qcosθcosωkl20.

Lemma 5. Suppose that 0 < θπ2, ωπkl,πkl0 and

ω2+q2ωk+lsinωlk > 0.

Also, the following conditions

(3.11) sinωkθlsinωkl>qif>qω0sinωkθlsinωkl<qif<qω0andsinωlθksinωkl>qif>qω0sinωlθksinωkl<qif<qω0,(3.11)

are provided. Then all the roots of Equation (3.1) on the imaginary axis move in the right half-plane as k and l increase.

Proof. Let λ=iω be a root of (3.1) where ωπkl,πkl0 is a real number. It will be enough to show

Reλk| > 0λ=iωandReλl|λ=iω>0.

Firstly, we take the derivative of λ with respect to k on Equation (3.1), we have

λkqλeλk+iθqkλeλk+iθλkqleλl+iθλk=0,
λk=qλeλk+iθ1qkeλk+iθ+leλl+iθ.

Substituting λ=iω into the above equation, we obtain

λk|λ=iω=iω+1a1qkeiωkθ+leiωlθ
=iω+1a1qkcosωkθ+lcosωlθ+iqksinωkθ+lsinωlθ

If we multiply with the complex conjugate of the denominator in the above equation, then we can write

(3.12) Reλk|λ=iω=qωsinωkθq2ωlsinωklM,(3.12)

where

M=1qkcosωkθ+lcosωlθ2+q2ksinωkθ+lsinωlθ2.

Since (3.11), we can writeReλk|λ=iω>0. On the other hand, we take the derivative of λ with respect to l on Equation (3.1), similar to (3.12)

(3.13) Reλl|λ=iω=qωsinωlθq2ωksinωklM,(3.13)

is obtained. From (3.11), we obtain Reλl|λ=iω>0. Moreover, by adding both (3.12) and (3.13) together, we have

(3.14) Reλk|λ=iω+Reλl|λ=iω=ω2+q2ωk+lsinωlkM > 0.(3.14)

Hence, the proof is completed.

Now we can state and prove main theorems.

4. Main results

We will show that the stability analysis with a qualitative approach, as we have already mentioned in section 1.

Theorem 1. Suppose that 0 < θπ2 and the conditions of Lemma 5 are satisfied. Let the matrix A of system (1.1) be in the formII. Then system (1.1) is asymptotically stable if and only if either

(4.1) a12qcosθcosωkl2 < 02qcosωkl22a120,(4.1)

or

(4.2) a12qcosθcosωkl2 < 02qcosωkl22a12 > 0k+l < 2sgnq2qcosωkl22a12arccosa12qcosωkl2θ(4.2)

Proof. In the case of k=0 and l=0, the root of (3.1) is only λ0,0=a12bcosθi2bsinθ. Thus, the root of the Equation (3.1) has a negative real part. By the continuity of the roots with respect to k and l, we can say that all the roots of (3.1) lie in the left half plane for k > 0 and l>0 sufficiently small.

For the sufficiency, here our claim is: If either condition (4.1) or (4.2) holds, then (3.1) does not have a root on the imaginary axis. By condition (4.1) and Lemma 3, our claim is true for k>0 and l > 0. Now, suppose that condition (4.2) holds: Since

2sgnq2qcosωkl22a12arccosa12qcosωkl2θ=k0+l0ifq > 0α0+β0+ ifq < 0,

and Remark 1, we obtain k+l  kn+ln±, k+l  αn+βn± for n=0,1,2, Thus, we obtain the contraposition with Lemma 1, our other claim is also true. By the above argument and Lemma 2, we can say that if either condition (4.1) or (4.2) holds, then all the roots of (3.1) lie in the left half plane.

For the necessity, we will show the following contraposition: either

(4.3) a12qcosθcosωkl20,(4.3)

or

(4.4) 2qcosωkl22a12 > 0k+l2sgnq2qcosωkl22a12arccosa12qcosωkl2θ.(4.4)

Thus, if (4.3) and (4.4) hold, then there exists roots λj of (3.1) such that Reλj>0 for j=1,2. Assume that (4.3) holds and let λ1k,l be the branch of the root of satisfyingλ10,0=a12bcosθi2bsinθ. Then, Lemma 5 or the continuity of λ1k,l implies that Reλ1 > 0 for k>0 and l>0 sufficiently small. From here, we can say that λ1k,l cannot move in the left half-plane crossing on the imaginary axis as k and l increase. Hence, we have Reλ1>0 for all k > 0 and l > 0. Assume that (4.4) holds and let λ2k,l be the branch of the root of satisfyingλ2k0,l0=isgnq2qcosωkl22a12. Then, Lemma 5 or the continuity of λ2k,l implies that Reλ2>0 for kk0 > 0 and ll0>0 sufficiently small. From here, we can say that λ2k,l cannot move in the left half-plane crossing on the imaginary axis as k and l increase. Hence, we have Reλ2>0 for all k > k0 and l>l0.

The proof is completed.

Remark 2. We consider the delay differential system (1.1) where matrix A is given as in case I, i.e.,

(4.5) xt+1axt+q1r0q2xtk+xtl=0,t0.(4.5)

Then, characteristic equation of (4.5) is as follows:

(4.6) λ+1a+q1eλk+eλlλ+1a+q2eλk+eλl=0.(4.6)

It is obvious that for a=1 and i=1,2, the equation λ+qieλk+eλl=0 is the characteristic equation of (4.6) with q=qi, and so one can immediately obtain the following corollary from the previous result given by Kuang (Citation1993).

Corollary 1. Suppose that a=1 for system (4.6) Let the matrix A of system (4.6) is written as the formI. Then system (4.6) is asymptotically stable if and only if for i=1,2

(4.7) 2qik+lcosklk+lπ2 < π.(4.7)

Theorem 2. Suppose that conditions of Lemma 5 are satisfied. Let the matrix A of system (1.1) be in the formI. Then system (1.1) is asymptotically stable if and only if for i=1,2 either

(4.8) a12qicosωkl2<02qicosωkl22a120,(4.8)

or

(4.9) {(a1)2qicos(ω(kl)2)<0(2qicos(ω(kl)2))2(a1)2>0k+l<2sgn(q)(2qicos(ω(kl)2))2(a1)2{arccos(a12qicos(ω(kl)2))}.(4.9)

Proof. The proof is similar to Theorem 1.

5. An extension to a system of higher dimension

Finally, a higher dimensional linear delay differential system with two delays is considered

(5.1) xt+1axt+Axtk+xtl=0t0,(5.1)

where a is a real number, A is a d×d real constant matrix, and k, l are positive numbers such that k > l.

Theorem 3. Let qjeiθjj=1,2,,d be the eigenvalues of matrix A. Then system (5.1) is asymptotically stable iff

(5.2) a12qjcosθjcosωkl2 < 02qjcosωkl22a120,(5.2)

or

(5.3) a12qjcosθjcosωkl2 < 02qjcosωkl22a12>0k+l < 2sgnq2qjcosωkl22a12arccosa12qjcosωkl2θj.(5.3)

where qj, θj are real numbers and θjπ2.

Proof. Since qjeiθjj=1,2,,d be the eigenvalues of matrix A′ the characteristic equation of system (5.1) is given by

f(λ)= j=1d(λ+(1a)+qj(eλk+i|θj|+eλl+i|θj|))=0.

Thus, Theorem 3 can be seen as a result of Theorems 1 and 3.

Additional information

Funding

This work was supported by the Serbun Ufuk DEĞER.

Notes on contributors

Serbun Ufuk Değer

My key research activities include Delay Differential Equations, Delay Difference Equations, Neutral Differential Equations, Neutral Difference Equations and stability of these equations. More generally, we can say Differential Equations, Difference Equations and stability of these equations.

The research reported in this paper relates to the stability of the systems that can be modeled by delay differential equations such as biology, physics and medicine. Thus, it is useful to use qualitative approaches to investigate the asymptotic stability of these systems. Our research represents a generalized method for describing the asymptotic stability of systems within of science branches such as biology and physics.

References

  • Bellman, R., & Cooke, K. L. (1963). Differential-difference equations. New York, NY: Academic Press.
  • Cooke, K. L., & Grossman, Z. (1982). Discrete delay, distributed delay and stability switches. Journal of Mathematical Analysis Applications, 86, 592–627. doi:10.1016/0022-247X(82)90243-8
  • Cooke, K. L., & van den Driessche, P. (1986). On zeroes of some transcendental equations. Funkcialaj Ekvacioj, 29, 77–90. ( MR865215 (87m:34098))
  • Elaydi, S. (2005). An introduction to difference equations (3rd ed.). New York, NY: Springer-Verlag.
  • Freedman, H. I., & Kuang, Y. (1991). Stability switches in linear scalar neutral delay equation. Funkcialaj Ekvacioj, 34, 187–209.
  • Gray, A., Greenhalgh, D., Hu, L., Mao, X., & Pan, J. A. (2011). Stochastic differential equation SIS epidemic model. SIAM Journal on Applied Mathematics, 71(3), 876–902. doi:10.1137/10081856X
  • Hrabalova, J. (2013). Stability properties of a discretized neutral delay differential equation. Tatra Mountains Mathematical Publications, 54, 83–92.
  • Ikeda, N., & Watanabe, S. (2014). Stochastic differential equations and diffusion processes (Vol. 24). North Holland: Elsevier.
  • Insperger, T., & Stépán, G. (2011). Semi-discretization for time-delay systems: Stability and engineering applications (Vol. 178). New York, Dordrecht, Heidelberg, London: Springer Science & Business Media.
  • Khokhlovaa, T., Kipnis, M., & Malygina, V. (2011). The stability cone for a delay differential matrix equation. Applied Mathematics Letters, 24, 742–745. doi:10.1016/j.aml.2010.12.020
  • Kruthika, H. A., Mahindrakar, A. D., & Pasumarthy, R. (2017). Stability analysis of nonlinear time–delayed systems with application to biological models. International Journal of Applied Mathematics and Computer Science, 27(1), 91–103. doi:10.1515/amcs-2017-0007
  • Kuang, Y. (1993). Delay differential equations with applications in population dynamics. MR1218880 (94f:34001) Boston: Academic Press.
  • Li, Y., Ma, W., Xiao, L., & Yang, W. (2017). Global stability analysis of the equilibrium of an improved time-delayed dynamic model to describe the development of T Cells in the thymus. Filomat, 31(2), 347–361. doi:10.2298/FIL1702347L
  • Liu, Q., Jiang, D., Shi, N., Hayat, T., & Alsaedi, A. (2016). Asymptotic behaviors of a stochastic delayed SIR epidemic model with nonlinear incidence. Communications in Nonlinear Science and Numerical Simulation, 40, 89–99. doi:10.1016/j.cnsns.2016.04.023
  • Matsunaga, H. (2008). Delay dependent and delay independent stability criteria for a delay differential system. American Mathematical Society, 42, 4305–4312. ( 136 Fields Inst. Commun.)
  • Nakajima, H. (2014). On the stability of a linear retarded differential-difference equation. Funkcialaj Ekvacioj, 57, 43–56. doi:10.1619/fesi.57.43
  • Naresh, R., Tripathi, A., Tchuenche, J. M., & Sharma, D. (2009). Stability analysis of a time delayed SIR epidemic model with nonlinear incidence rate. Computers & Mathematics with Applications, 58(2), 348–359. doi:10.1016/j.camwa.2009.03.110
  • Ruan, S., & Wei, J. (2003). on the zeros of transcendental functions with applications to stability of delay differential equations with two delays. Dynamic of Continuous, Discrete and Impulsive Systems, 10, 863–874.
  • Smith, H. (2010). An introduction to delay differential equations with applications to the life science. New York, NY: Springer.
  • Stepan, G. (1989). Retarded dynamical systems: Stability and characteristic functions, pitman research notes in mathematics series (Vol. 210). New York, NY: Academic Press.
  • Stepan, G. (1998). Delay-differential equation models for machine tool chatter. Dynamics and Chaos in Manufacturing Processes, 471152935, 165–192.
  • Xu, R. (2012). Global stability of a delayed epidemic model with latent period and vaccination strategy. Applied Mathematical Modelling, 36(11), 5293–5300. doi:10.1016/j.apm.2011.12.037