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Exact stability and instability regions for two-dimensional linear autonomous multi-order systems of fractional-order differential equations

  • Oana Brandibur and Eva Kaslik EMAIL logo
Published/Copyright: January 29, 2021

Abstract

Necessary and sufficient conditions are explored for the asymptotic stability and instability of linear two-dimensional autonomous systems of fractional-order differential equations with Caputo derivatives. Fractional-order-dependent and fractional-order-independent stability and instability properties are fully characterised, in terms of the main diagonal elements of the systems’ matrix, as well as its determinant.

1 Introduction

Within the past decades, a growing number of scientific papers debated the pertinence of fractional calculus in the mathematical modeling of real world phenomena, suggesting that fractional-order systems are capable of delivering more realistic results in a large number of practical applications [8, 14, 16, 17, 24] compared to their integer-order counterparts. The main justification of this fact is that fractional-order derivatives provide for the incorporation of both memory and hereditary properties. Indeed, [13] endorses the index of memory as a plausible physical interpretation of the order of a fractional derivative.

As in the case of classical dynamical systems theory, stability analysis plays a leading role in the qualitative theory of fractional-order systems. Two surveys [22, 29] have recently summarized the main results that have been obtained with respect to the stability properties of fractional-order systems. Nevertheless, it has to be emphasized that most results have been obtained in the framework of linear autonomous commensurate fractional-order systems. In this context, it is important to note that a generalization of the well-known stability theorem of Matignon [25] has been recently obtained [30]. Furthermore, linearization theorems for fractional-order systems have been presented in [21, 32], providing analogues of the classical Hartman-Grobman theorem.

On the other hand, the stability analysis of incommensurate fractional-order systems has received significantly less attention throughout the years. Stability properties of linear incommensurate fractional-order systems with rational orders have been investigated in [26]. Oscillatory behaviour in two-dimensional incommensurate fractional-order systems has been explored in [9, 28]. Bounded input bounded output stability of systems with irrational transfer functions has been recently analyzed in [31]. The asymptotic behavior of the solutions of some classes of linear multi-order systems of fractional differential equations (such as systems with block triangular coefficient matrices) has been investigated in [11].

Multi-term fractional-order differential equations [1] and their stability properties are closely related to multi-order systems of fractional differential equations. Very recently, the stability of two-term fractional-order differential and difference equations has been analyzed in [6, 7, 18].

Taking into account the above mentioned developments in the theory of fractional-order systems, necessary and sufficient stability and instability conditions have been explored in the case of linear autonomous two-dimensional incommensurate fractional-order systems [3, 4]. In the first paper [3], we have investigated stability properties of two-dimensional systems composed of a fractional-order differential equation and a classical first-order differential equation. These results have been extended in [4] for the case of general two-dimensional incommensurate fractional-order systems with Caputo derivatives. Specifically, for fractional orders 0 < q1 < q2 ≤ 1, necessary and sufficient conditions have been obtained for the O(tq1)-asymptotic stability of the trivial equilibrium, in terms of the determinant δ of the linear system’s matrix, as well as the elements a11 and a22 of its main diagonal. Moreover, sufficient conditions have also been investigated which guarantee the stability and instability of the fractional-order system, regardless of the fractional orders.

The aim of this work is to complete the stability analysis of two-dimensional incommensurate fractional-order systems with Caputo derivatives, by extending the results presented in [4, 5]. On one hand, we fully characterize the fractional-order dependent stability and instability properties of the considered system, by exploring certain symmetries related to the characteristic equation associated to our stability problem. On the other hand, we obtain necessary and sufficient conditions for the stability and instability of the system, regardless of the choice of fractional orders, in terms of the characteristic parameters a11, a22 and δ mentioned previously. These latter results are particularly useful in practical applications where the exact fractional orders are not precisely known.

The paper is structured as follows. Section 2 is dedicated to presenting some preliminary results and important definitions. The main results are included in Section 3 as follows: we first present the statements of the main fractional-order-independent stability and instability theorems, then we prove fractional-order-dependent stability and instability results, followed by the proofs of the main theorems. For the sake of completeness, all proofs are presented in detail. Finally, we draw some conclusions and suggest several directions for future research in Section 4.

2 Preliminaries

Let us consider the n-dimensional fractional-order system with Caputo derivatives [19, 20, 27]:

(2.1)cDqx(t)=f(t,x)

where q=(q1,q2,...,qn)(0,1)n and f : [0, ∞) × ℝn → ℝn is a continuous function on the whole domain of definition, Lipschitz-continuous with respect to the second variable, such that

f(t,0)=0foranyt0.

Let φ(t, x0) denote the unique solution of (2.1) satisfying the initial condition x(0) = x0 ∈ ℝn. The existence and uniqueness of the initial value problem associated to system (2.1) is guaranteed by the previously mentioned properties of the function f, [10].

It is important to emphasize that in general, due to the presence of the memory effect, the asymptotic stability of the trivial solution of system (2.1) is not of exponential type [7, 15]. Hence, the notion of Mittag-Leffler stability has been introduced for fractional-order differential equations [23], as a special type of non-exponential asymptotic stability concept. In this work, we focus on O(tα)-asymptotic stability, reflecting the algebraic decay of the solutions.

Definition 2.1

The trivial solution of (2.1) is called stable if for any ε > 0 there exists δ = δ(ε) > 0 such that for every x0 ∈ ℝn satisfying ‖x0‖ < δ we have φ(t,x0)ε for any t ≥ 0.

The trivial solution of (2.1) is called asymptotically stable if it is stable and t here exists ρ > 0 such that limtφ(t,x0)=0 whenever ‖x0‖ < ρ.

Let α > 0. The trivial solution of (2.1) is called O(tα)-asymptotically stable if it is stable and there exists ρ > 0 such that for any ‖x0‖ < ρ one has:

φ(t,x0)=O(tα)ast.

3 Main results

In this paper, we consider the following two-dimensional linear autonomous incommensurate fractional-order system:

(3.1){cDq1x(t)=a11x(t)+a12y(t)cDq2y(t)=a21x(t)+a22y(t)

where A = (aij) is a real two-dimensional matrix and q1, q2 ∈ (0, 1] are the fractional orders of the Caputo derivatives. The following characteristic equation is obtained by means of the Laplace transform method:

det(diag(sq1,sq2)A)=0

which is equivalent to

(3.2)sq1+q2a11sq2a22sq1+det(A)=0.

It is important to emphasize that in the characteristic equation (3.2), sq1 and sq2 represent the principal values (first branches) of the corresponding complex power functions [12].

By means of asymptotic expansion properties and the Final Value Theorem of the Laplace transform [2, 3, 12], necessary and sufficient conditions for the global asymptotic stability of system (3.1) have been recently obtained, see [4], as follows.

Proposition 3.1

  1. Denotingq = min{q1, q2}, system (3.1) isO(tq)-globally asymptotically stable if and only if all the roots (if any) of the characteristic equation (3.2) are in the open left half-plane.

  2. If det(A) ≠ 0 and the characteristic equation (3.2) has a root in the open right half-plane, system (3.1) is unstable.

The aim of this paper is to analyze the distribution of the roots of the characteristic equation (3.2) with respect to the imaginary axis of the complex plane. In what follows, we denote det(A) = δ and we consider the complex-valued function

Δ(s;a11,a22,δ,q1,q2)=sq1+q2a11sq2a22sq1+δ

which gives the left-hand side of the characteristic equation (3.2).

Remark 3.1

The analysis of the roots of the characteristic function Δ(s;a11, a22, δ, q1, q2) is also encountered in the investigation of the stability properties of the three-term fractional-order differential equation

(3.3)cDq1+q2x(t)a11cDq2x(t)a22cDq1x(t)+δx(t)=0.

Therefore, the results presented in this paper are also applicable in the framework of equation (3.3).

The statements of the main results are presented below, followed by detailed proofs in the upcoming sections.

3.1 Fractional-order-independent stability and instability results

Obtaining fractional-order-independent necessary and sufficient conditions for the asymptotic stability or instability of system (3.1) are particularly useful in practical applications where the exact values of the fractional orders used in the mathematical modeling are not precisely known. In this section, we only state the main results, giving their complete proofs in section 3.3, due to their complexity.

Theorem 3.1 (Fractional-order independent instability results)

  1. If det(A) < 0, system (3.1) is unstable, regardless of the fractional ordersq1andq2.

  2. If det(A) > 0, system (3.1) is unstable regardless of the fractional ordersq1andq2if and only if one of the following conditions holds:

    {a11+a22det(A)+1ora11>0,a22>0,a11a22det(A).

Theorem 3.2 (Fractional-order-independent stability results)

System (3.1) is asymptotically stable, regardless of the fractional ordersq1, q2 ∈ (0, 1] if and only if the following inequalities are satisfied:

a11+a22<0<det(A)andmax{a11,a22}<min{1,det(A)}.

Remark 3.2

In the classical integer order case (i.e. q1 = q2 = 1), it is well-known that a two-dimensional linear autonomous system of the form x′ = Ax, with constant matrix A ∈ ℝ2×2 is asymptotically stable if and only if Tr(A) < 0 and det(A) > 0. Based on Theorem 3.2, a supplementary inequality

max{a11,a22}<min{1,det(A)}}

is required to guarantee that system (3.1) is asymptotically stable, regardless of the choice of fractional orders q1, q2 ∈ (0, 1].

Based on the previous theorems, as the case det(A) < 0 is trivial (i.e. system (3.1) is unstable for any q1, q2 ∈ (0, 1]), in what follows, we consider det(A) = δ > 0 and we define the following regions in the (a11, a22)-plane:

Ru(δ)={(a11,a22)2:a11+a22δ+1ora11>0,a22>0,a11a22δ}Rs(δ)={(a11,a22)2:a11+a22<0andmax{a11,a22}<min{1,δ}}

An example is presented for the particular case δ = 4 in Figure 1.

Figure 1 The red/blue shaded regions represent the sets Rs(δ) and Ru(δ), respectively, for δ = det(A) = 4
Figure 1

The red/blue shaded regions represent the sets Rs(δ) and Ru(δ), respectively, for δ = det(A) = 4

Remark 3.3

Due to Theorem 3.1, when det(A) = δ > 0 is arbitrarily fixed, system (3.1) is unstable for any choice of the fractional orders q1, q2 ∈ (0, 1] if and only if (a11, a22) ∈ Ru(δ). On the other hand, based on Theorem 3.2, system (3.1) is asymptotically stable for any q1, q2 ∈ (0, 1] if and only if (a11, a22) ∈ Rs(δ). Therefore, if (a11, a22) ∈ ℝ2\(Rs(δ) ∪ Ru(δ)) (e.g. white region in Fig. 1), the stability properties of system (3.1) depend on the considered fractional orders.

3.2 Fractional-order-dependent stability and instability results

The aim of this section is to characterize the stability properties of system (3.1) when det(A) = δ > 0 and q1, q2 ∈ (0, 1] are arbitrarily fixed. The case δ < 0 is not considered here, as from Theorem 3.1 we know that in this case, system (3.1) is unstable for any q1, q2 ∈ (0, 1].

Lemma 3.1

Letδ > 0, q1, q2 ∈ (0, 1] and consider the smooth parametric curve in the (a11, a22)-plane defined by

Γ(δ,q1,q2):{a11=δq1q1+q2h(ω,q1,q2)a22=δq2q1+q2h(ω,q1,q2),ω,

where:

h(ω,q1,q2)={ρ2(q1,q2)eq1ωρ1(q1,q2)eq2ω,ifq1q2cosqπ2ω,ifq1=q2:=q

with the functionsρ1(q1, q2) andρ2(q1, q2) defined forq1q2as

ρk(q1,q2)=sinqkπ2sin(q2q1)π2,fork=1,2¯.

The following statements hold:

  1. The curve Γ(δ, q1, q2) is the graph of a smooth, decreasing, concave bijective functionϕδ,q1,q2:in the (a11, a22)-plane.

  2. The curve Γ(δ, q1, q2) lies outside the third quadrant of the (a11, a22)-plane.

Proof

Let δ > 0 and q1, q2 ∈ (0, 1] arbitrarily fixed.

Proof of statement (i). The real-valued function ωh(ω, q1, q2) is bijective and monotonous on ℝ: strictly decreasing if q1q2 and strictly increasing otherwise. Therefore, the particular form of the parametric equations implies that the curve Γ(δ, q1, q2) is the graph of a smooth decreasing bijective function ϕδ,q1,q2: in the (a11, a22)-plane.

If q1q2, using the chain rule, we compute:

d2a22da112=δq22q1q1+q2ρ1ρ2q1q2(q1q2)[e(q1+q2)ω+e(q1+q2)ω]+2(q13ρ22q23ρ12)(q1ρ2eq1ω+q2ρ1eq2ω)3.

Assuming that q1 < q2, the expression above is strictly negative, as ρ1 > 0, ρ2 > 0 and q1q2ρ1ρ21 (since the function xsinxx is decreasing on (0, π)). A similar argument holds in the case q1 > q2 as well. Hence, ϕδ,q1,q2 is a concave function.

Proof of statement (ii). Assume the contrary, i.e. that there exists (a11, a22) ∈ Γ(δ, q1, q2) such that a11 < 0 and a22 < 0, or equivalently, that there exists ω ∈ ℝ such that hω, q1, q2) < 0. As the case q1 = q2 is trivial, we assume without loss of generality that q1 < q2. The inequalities hω, q1, q2) < 0 are equivalent to

ρ2(q1,q2)e±(q1+q2)ω<ρ1(q1,q2)

which leads to ρ2(q1, q2) < ρ1(q1, q2), or equivalently to q2 < q1, which is absurd. Hence, the curve Γ(δ, q1, q2) does not have any points in the third quadrant.

Remark 3.4

If q1 = q2 := q, Γ(δ, q1, q2) represents the straight line:

a11+a22=2δcosqπ2.

In the following, we will denote by N(a11, a22, δ, q1, q2) the number of unstable roots (ℜ(s) ≥ 0) of the characteristic function Δ(s; a11, a22, δ, q1, q2), including their multiplicities. The following lemma shows that the function N(a11, a22, δ, q1, q2) is well-defined and establishes important properties which will be useful in the proof of the main results.

Lemma 3.2

Letδ > 0, q1, q2 ∈ (0, 1] be arbitrarily fixed. The following statements hold:

  1. The characteristic function Δ(s; a11, a22, δ, q1, q2) has at most a finite number of roots satisfying ℜ(s) ≥ 0.

  2. The function (a11, a22) ↦ N(a11, a22, δ, q1, q2) is continuous at all points (a11, a22) that do not belong to the curve Γ(δ, q1, q2). Consequently, N(a11, a22, δ, q1, q2) is constant on each connected component of2\Γ(δ, q1, q2).

Proof

The first step of the proof (see Appendix A.1.) consists of showing that there exist a strictly decreasing function lδ,q1,q2:++ and a strictly increasing function Lδ,q1,q2:++ such that any unstable root of Δ(s; a11, a22, δ, q1, q2) is bounded by

(3.4)lδ,q1,q2(ap)|s|Lδ,q1,q2(ap)

where p=q1+q22min{q1,q2}1 and a = (a11, a22). Moreover, ‖·‖p denotes the p-norm in ℝ2.

Proof of statement (i). Assuming the contrary, that there exists an infinite number of unstable roots, the Bolzano-Weierstrass theorem implies that there exists a convergent sequence of unstable roots (sj) with the limit s0 ≠ 0 (since δ > 0), such that ℜ(s0) ≥ 0. As the function Δ(s; a11, a22, δ, q1, q2) is analytic in , by the principle of permanence it follows that it is identically zero, which is absurd. Therefore, we obtain that N(a11, a22, δ, q1, q2) is finite.

Proof of statement (ii). Let a0=(a110,a220)2Γ(δ,q1,q2) and consider r > 0 such that the open neighborhood Br(a0) = {a = (a11, a22) ∈ ℝ2: ‖aa0p < r} of the point a0 is included in ℝ2\Γ(δ, q1, q2).

For any a = (a11, a22) ∈ Br(a0), we have:

apaa0p+a0p<r+a0p

and hence, inequality (3.4) implies that any root s of Δ(s; a11, a22, δ, q1, q2) such that ℜ(s) ≥ 0 satisfies:

lδ,q1,q2(r+a0p)<|s|<Lδ,q1,q2(r+a0p).

Denoting m=lδ,q1,q2(r+a0p) and M=Lδ,q1,q2(r+a0p), let us consider in the complex plane the simple closed curve (γ), oriented counterclockwise, bounding the open set

D={s:(s)>0,m<|s|<M}.

The above construction shows that for any a = (a11, a22) ∈ Br(a0) all unstable roots of Δ(s; a11, a22, δ, q1, q2) are inside the open set D.

As Δ(s;a110,a220,δ,q1,q2)0 for any s ∈ (γ), it is easy to see that

d0=mins(γ)|Δ(s;a110,a220,δ,q1,q2)|>0.

Moreover, we consider q ≥ 1 such that 1p+1q=1 and denote:

r=min{r,d0(Mq2,Mq1)q}.

Based on Hölder’s inequality, it follows that for any s ∈ (γ) and for any aBr(a0) ⊂ Br(a0), we have:

|Δ(s;a11,a2,δ,q1,q2)Δ(s;a110,a220,δ,q1,q2)|=|(a11a110)sq2+(a22a220)sq1||a11a110|Mq2+|a22a220|Mq1aa0p(Mq2,Mq1)q<r(Mq2,Mq1)qd0|Δ(s;a110,a220,δ,q1,q2)|.

The Rouché theorem implies Δ(s; a11, a22, δ, q1, q2) and Δ(s;a110,a220,δ,q1,q2) have the same number of roots in the domain D, and hence

N(a11,a22,δ,q1,q2)=N(a110,a220,δ,q1,q2)foranyaBr(a0).

Therefore, the function (a11, a22) ↦ N(a11, a22, δ, q1, q2) is continuous on ℝ2\Γ(δ, q1, q2), and as it is integer-valued, it follows that it is constant on each connected component of ℝ2\Γ(δ, q1, q2).

The following theorem represents the main result characterizing fractional-order-dependent stability and instability properties of system (3.1).

Theorem 3.3 (Fractional-order-dependent stability and instability results)

Let det(A) = δ > 0 andq1, q2 ∈ (0, 1] arbitrarily fixed. Consider the curve Γ(δ, q1, q2) and the functionϕδ,q1,q2:given by Lemma 3.1.

  1. The characteristic equation (3.2) has a pair of pure imaginary roots if and only if (a11, a22) ∈ Γ(δ, q1, q2).

  2. System (3.1) isO(tq)-asymptotically stable (withq = min{q1, q2}) if and only if

    a22<ϕδ,q1,q2(a11).
  3. Ifa22>ϕδ,q1,q2(a11), system (3.1) is unstable.

Proof

Assume that δ > 0 and q1, q2 ∈ (0, 1] are arbitrarily fixed.

Proof of statement (i). It is easy to see that the characteristic equation (3.2) has a pair of pure imaginary roots if and only if there exists ω ∈ ℝ such that Δ(iδ1q1+q2eω;a11,a22,δ,q1,q2)=0. As iq=cosqπ2+isinqπ2, taking the real and the imaginary parts of the previous equation, one obtains:

(3.5){a11δq1q1+q2eq2ωcosq2π2+a22δq2q1+q2eq1ωcosq1π2=e(q1+q2)ωcos(q1+q2)π2+1,a11δq1q1+q2eq2ωsinq2π2+a22δq2q1+q2eq1ωsinq1π2=e(q1+q2)ωsin(q1+q2)π2.

If q1q2, solving this system for a11 and a22 shows that the characteristic equation (3.2) has a pair of pure imaginary roots if and only if (a11, a22) belongs to the curve Γ(δ, q1, q2) given by Lemma 3.1.

In the particular case q1 = q2 := q, system (3.5) is compatible if and only if ω = 0. Moreover, the set of solutions of (3.5) is the straight line

a11+a22=2δcosqπ2

which represents Γ(δ, q, q) given by Lemma 3.1 (see Remark 3.4).

Proof of statement (ii). Choosing a11 = a22 = −1, we argue that Δ(s; −1, −1, δ, q1, q2) does not have any roots in the right half plane. Indeed, assuming that there exists s such that ℜ(s) ≥ 0 and

sq1+q2+sq2+sq1+δ=0,

it follows by division by sq1 that

sq2+sq2q1+1+δsq1=0.

As q2 ∈ (0, 1], q2q1 ∈ [−1, 1] and −q1 ∈ [−1, 0), it follows that the real part of each term from the left hand side of the above equality is positive, which leads to a contradiction. Hence, N (−1, −1, δ, q1, q2) = 0. From Lemma 3.1 (ii) and Lemma 3.2 it follows that N(a11, a22, δ, q1, q2) = 0, for any (a11, a22) from the region below the curve Γ(δ, q1, q2), which leads to the desired conclusion.

Proof of statement (iii). Let s(a11, a22, δ, q1, q2) denote the root of Δ(s; a11, a22, δ, q1, q2) satisfying s(a11,a22,δ,q1,q2)=iβ, with β=δ1q1+q2eω as in the proof of statement (i), where (a11,a22)Γ(δ,q1,q2). Taking the derivative with respect to a11 in the equation

sq1+q2a11sq2a22sq1+δ=0,

we obtain

(q1+q2)sq1+q21sa11sq2a11q2sq21sa11a22q1sq11sa11=0.

We deduce:

sa11=sq2(q1+q2)sq1+q21a11q2sq21a22q1sq11,

and therefore

(s)a11=(sa11)=(sq2(q1+q2)sq1+q21a11q2sq21a22q1sq11).

We have

(s)a11|(a11,a22)=((iβ)q2P(iβ))=βq2(iq2P(iβ)¯|P(iβ)|2)=βq2|P(iβ)|2(iq2P(iβ)¯),

where P(s)=(q1+q2)sq1+q21a11q2sq21a22q1sq11. A simple computation leads to

(s)a11|(a11,a22)=δq2q1+q2βq1+q21|P(iβ)|2sin(q2q1)π2(q2ρ1eq2ω+q1ρ2eq1ω)=δq2q1+q2βq1+q21|P(iβ)|2sin(q2q1)π2hω(ω,q1,q2).

In a similar way, we compute (s)a22|(a11,a22) and we finally obtain the gradient vector

(s)(a11,a22)=((s)a11,(s)a22)|(a11,a22)=βq1+q21|P(iβ)|2sin(q2q1)π2(δq2q1+q2hω(ω,q1,q2),δq1q1+q2hω(ω,q1,q2)).

From the parametric equations of the curve Γ(δ, q1, q2) and the properties of the function h it is easy to deduce that the gradient vector (s)(a11,a22) is in fact a normal vector to the curve Γ(δ, q1, q2) that points outward from the region below the curve. We deduce that the following transversality condition is fulfilled for the directional derivative:

u¯(s)(a11,a22)=(z)(a11,a22),u¯>0,

for any vector u¯ which points outward from the region below the curve Γ(δ, q1, q2). Therefore, as the parameters (a11, a22) cross the curve Γ(δ, q1, q2) into the region above the curve, ℜ(s) becomes positive and the pair of conjugated roots (s,s¯) crosses the imaginary axis from the open left half-plane to the open right half-plane. Hence, N(a11, a22, δ, q1, q2) = 2 for any (a11, a22) from the region above the curve Γ(δ, q1, q2), and the system (2.1) is unstable.

Remark 3.5

In Fig. 2, several curves Γ(δ, q1, q2) have been plotted for δ = 4, q1 = 0.6 and q2 ∈ (0, 1], together with the fractional-order-independent stability regions Rs(δ), Ru(δ). The regions below and above each curve represent the asymptotic stability region and instability region, respectively, provided by Theorem 3.3. Lighter shades of red and blue have been used to plot the parts of these regions for which system (3.1) is asymptotically stable / unstable for the particular values of the fractional orders q1, q2 which have been chosen, but not for all (q1, q2) ∈ (0, 1].

Figure 2 Curves Γ(δ, q1, q2) (black) for δ = 4, q1 = 0.6 and q2 ∈ {0.02, 0.2, 0.4, 0.6, 0.8, 1}. Shades of red / blue represent the asymptotic stability/instability regions, lighter shades being associated to fractional-order-dependent regions and darker shades to fractional-order-independent regions Rs(δ) and Ru(δ)
Figure 2

Curves Γ(δ, q1, q2) (black) for δ = 4, q1 = 0.6 and q2 ∈ {0.02, 0.2, 0.4, 0.6, 0.8, 1}. Shades of red / blue represent the asymptotic stability/instability regions, lighter shades being associated to fractional-order-dependent regions and darker shades to fractional-order-independent regions Rs(δ) and Ru(δ)

Theorem 3.3 gives a relatively simple algebraic criterion (in the form of inequalities involving the elements of the system’s matrix and the fractional orders) that permits to immediately decide the question of asymptotic stability or instability for a given two-dimensional system of fractional differential equations.

Example 3.1

We consider the system

(3.6){cDq1x(t)=a11x(t)+a12y(t)cDq2y(t)=a21x(t)+a22y(t)withA=(aij)=(0.0000110.00220.1),

where q1, q2 ∈ (0, 1].

We first verify if the fractional-order-independent stability or instability conditions given in Theorem 3.1 and Theorem 3.2 hold. First, as det(A) = 0.002201 > 0, a simple computation shows that a11 + a22 < det(A) + 1 and a11a22 < det(A). Hence, based on Theorem 3.1, we deduce that system (3.6) is not unstable regardless of the considered fractional orders q1 and q2. On the other hand, as a11 + a22 > 0, it is clear from Theorem 3.2 that system (3.6) is not asymptotically stable regardless of the considered fractional orders q1 and q2. In other words, the stability and instability of system (3.6) depend on the choice of the fractional orders q1 and q2, as shown in the following situations.

Case 1. The special case (q1,q2)=(12,14) has been considered in [11], and it has been shown, by transforming the corresponding system to a system of three fractional differential equations with the same order 14, that in this particular case, system (3.6) is globally asymptotically stable.

Indeed, applying Theorem 3.3, we deduce that system (3.6) with the fractional orders (q1,q2)=(12,14) is asymptotically stable if and only if

a22<ϕδ,q1,q2(a11),

where a11 = 0.00001, a22 = 0.1, δ = det(A) = 0.002201 and, relying on the notations introduced in Lemma 3.1:

ϕδ,q1,q2(a11)=δq2q1+q2h(ω*,q1,q2)

where ω* is the unique root of the equation

a11=δq1q1+q2h(ω*,q1,q2).

From this algebraic equation, we numerically compute ω* = 0.818108 and therefore, we also deduce ϕδ,q1,q2(a11)=0.208493. As a22 = 0.1, it can be easily seen that the asymptotic stability condition a22<ϕδ,q1,q2(a11) is satisfied (as depicted in Fig. 3).

Case 2. We now consider a different special case: (q1,q2)=(14,12). Following the same steps as in the previous case, using Theorem 3.3, we now compute: ϕδ,q1,q2(a11)=0.0271274 and therefore, as a22 = 0.1, it follows that a22>ϕδ,q1,q2(a11), and hence, system (3.6) is unstable (as shown in Fig. 3).

This can also be verified by the method proposed in [11]. Indeed, for (q1,q2)=(14,12), system (3.6) is equivalent to the following system of three fractional differential equations of the same order q=14:

(3.7)cDqz(t)=Bz(t)withB=(a11a120001a21a220)=(0.00001100010.00220.10).

The spectrum of eigenvalues of the matrix B is

σ(B)={0.326701,0.304593,0.0221182}

and hence, based on Matignon’s theorem [25], as arg(λ2) = arg(λ3) = 0, it follows that system (3.7) is unstable.

In conclusion, it is easy to see from the previously considered cases that system (3.6) will be asymptotically stable for some pairs of fractional orders (such as (q1,q2)=(12,14) considered in Case 1.), while it will be unstable for other pairs of fractional orders (such as (q1,q2)=(14,12) considered in Case 2.). In fact, using the inequality provided by Theorem 3.3, the region of all pairs of fractional orders (q1, q2) ∈ (0, 1]2 for which system (3.6) is asymptotically stable can be numerically computed (see Fig. 4).

Figure 3 The position of the point (a11, a22) = (0.00001, 0.1) (plotted in red) with respect to the curve Γ(δ, q1, q2) (shown in orange) in the particular cases: Case 1: (q1,q2)=(12,14)$(q_1,q_2)=(\frac{1}{2},\frac{1}{4})$ (left) and Case 2: (q1,q2)=(14,12)$(q_1,q_2)=(\frac{1}{4},\frac{1}{2})$ (right) considered in Example 3.1
Figure 3

The position of the point (a11, a22) = (0.00001, 0.1) (plotted in red) with respect to the curve Γ(δ, q1, q2) (shown in orange) in the particular cases: Case 1: (q1,q2)=(12,14) (left) and Case 2: (q1,q2)=(14,12) (right) considered in Example 3.1

Figure 4 The region of fractional orders (q1, q2) for which system (3.6) is globally asymptotically stable
Figure 4

The region of fractional orders (q1, q2) for which system (3.6) is globally asymptotically stable

3.3 Proofs of the fractional-order independent stability and instability results

We are now ready to prove the main results presented in section 3.1. Throughout this section, we assume det(A) = δ > 0, unless stated otherwise and we use the notations Ru(δ) and Rs(δ) introduced in section 3.1 for the instability and stability regions, respectively.

The following lemma provides a sufficient result for the instability of system (3.1), regardless of the fractional orders q1 and q2.

Lemma 3.3

If (a11, a22) ∈ Ru(δ), then system (3.1) is unstable, regardless of the fractional ordersq1andq2.

Proof

Let (a11, a22) ∈ Ru(δ) and (q1, q2) ∈ (0, 1]2 arbitrarily fixed. We will show that the characteristic function Δ(s; a11, a22, δ, q1, q2) has at least one positive real root.

First, it is easy to see that Δ(s; a11, a22, δ, q1, q2) → ∞ as s → ∞.

On one hand, let us notice that if a11+a22δ + 1, it follows that

Δ(1;a11,a22,δ,q1,q2)=1a11a22+δ0.

Hence, the function s ↦ Δ(s; a11, a22, δ, q1, q2) has at least one positive real root in the interval [1, ∞). Therefore, the system (3.1) is unstable.

On the other hand, if a11 > 0, a22 > 0 and a11a22δ, as

Δ(s;a11,a22,δ,q1,q2)=(sq1a11)(sq2a22)+δa11a22,

we see that for s0=(a11)1/q1>0, we have

Δ(s0;a11,a22,δ,q1,q2)=δa11a220.

Hence, the function s ↦ Δ(s; a11, a22, δ, q1, q2) has at least one strictly positive real root. It follows that system (3.1) is unstable.

The following lemma provides a sufficient result for the asymptotic stability of system (3.1), regardless of the fractional orders q1 and q2.

Lemma 3.4

If (a11, a22) ∈ Rs(δ) then system (3.1) is asymptotically stable, regardless of the fractional ordersq1andq2.

Proof

Let (a11, a22) ∈ Rs(δ) and (q1, q2) ∈ (0, 1]2 arbitrarily fixed. As a11+a22 < 0, we may assume, without loss of generality, that a11 < 0.

Assume by contradiction that Δ(s; a11, a22, δ, q1, q2) has a root s0 = reiθ in the right half-plane, where r > 0 and θ[0,π2].

Multiplying the characteristic equation by s0q1, we get:

s0q2a11s0q2q1a22+δs0q1=0.

Taking the real part in the above equation and noticing that s0q2,s0q2q1 and s0q1 are in the right half-plane, we obtain:

a22=(s0q2)a11(s0q2q1)+δ(s0q1)min{1,a11,δ}[(s0q2)+(s0q2q1)+(s0q1)]=min{1,a11,δ}[rq2cos(q2θ)+rq2q1cos((q2q1)θ)+rq1cos(q1θ)].

It is important to remark that for any r > 0, q1, q2 ∈ (0, 1] and θ[0,π2], the following inequality holds:

rq2cos(q2θ)+rq2q1cos((q2q1)θ)+rq1cos(q1θ)1.

Indeed, denoting q1θ=x[0,π2],q2θ=y[0,π2] and r1θ=α>0 this inequality is equivalent to

(3.8)αycosy+αyxcos(yx)+αxcosx1,x,y[0,π2],α>0,

which is proved in Appendix A.2. It follows that:

a22min{1,a11,δ}>0.

On the other hand, as (a11, a22) ∈ Rs(δ), we have a22< −a11 and a22 < min{1, δ}. Hence, a22 < min{1, −a11, δ}, which leads to a contradiction. Therefore, we deduce that all the roots of the characteristic function Δ(s; a11, a22, δ, q1, q2) are in the open left half-plane, and hence, system (3.1) is asymptotically stable.

As sufficiency in Theorems 3.1 and 3.2 has been proved in the previous two lemmas, the next part of this section is devoted to proving necessity in both theorems. With this aim in mind, in what follows, we will denote by Q(δ) the region of the (a11, a22)-plane which is covered by the curves Γ(δ, q1, q2) defined in Lemma 3.1, i.e.:

Q(δ)={(a11,a22)2:(q1,q2)(0,1]2s.t.(a11,a22)Γ(δ,q1,q2)}.

The following lemma is the key result which allows us to prove necessity in Theorems 3.1 and 3.2.

Lemma 3.5

The following holds:

Q(δ)=2(Rs(δ)Ru(δ)).

Proof

A proof by double inclusion is presented below.

Step 1. Proof of the inclusionQ(δ) ⊆ ℝ2\(Rs(δ) ∪ Ru(δ)).

In the case q1 = q2 = q, elementary inequalities and Remark 3.4 provide that Γ(δ, q, q) are straight lines which are included in ℝ2\(Rs(δ) ∪ Ru(δ)).

Let us now consider q1 < q2 (the opposite case is treated similarly) and show that Γ(δ, q1, q2) ⊂ ℝ2\(Rs(δ) ∪ Ru(δ)). Considering an arbitrary point (a11, a22) ∈ Γ(δ, q1, q2), it follows that there exists ω ∈ ℝ such that a11=δq1q1+q2h(ω,q1,q2) and a22=δq2q1+q2h(ω,q1,q2), where the function h is given in Lemma 3.1.

Let us first show that (a11, a22) ∉ Ru(δ). On one hand, one can write:

a11+a22=u(t)+δu(t1)

where t=δ1q1+q2eω>0 and u(t)=ρ2tq1ρ1tq2, where the arguments of the functions ρ1, ρ2 have been dropped for simplicity. The function u(t) reaches its maximal value at the point tmax=(q1ρ2q2ρ1)1q2q1 and a straightforward calculation leads to:

umax=u(tmax)=(sinq2π2q2)q2q2q1(q1sinq1π2)q1q2q1q2q1sin(q2q1)π2.

We will next show that umax < 1. Indeed, as the function v(x)=xln(xsinx) is positive and convex on [0, π] with limx→0v(x) = 0, it follows that v(x) is superadditive, and hence:

v(x)+v(yx)<v(y),forany0<x<yπ2.

Considering x=q1π2 and y=q2π2 in the previous inequality, we obtain ln(umax) < 0, and hence, umax < 1 for any 0 < q1 < q2 ≤ 1. Therefore:

(3.9)a11+a22=u(t)+δu(t1)umax(δ+1)<δ+1.

On the other hand,

a11a22=δh(ω,q1,q2)h(ω,q1,q2)=δ(ρ2eq1ωρ1eq2ω)(ρ2eq1ωρ1eq2ω)=δ[ρ12+ρ22ρ1ρ2(e(q1+q2)ω+e(q1+q2)ω)]<δ(ρ12+ρ222ρ1ρ2)=δ(ρ2ρ1)2=δ(cos(q1+q2)π4cos(q2q1)π4)2<δ,

and hence, combined with inequality (3.9) it follows that (a11, a22) ∉ Ru(δ).

Moreover, assuming by contradiction that (a11, a22) ∈ Rs(δ), Lemma 3.4 implies that all roots of the characteristic function Δ(s; a11, a22, δ, q1, q2) are in the open left half-plane, and hence, by Theorem 3.3 we obtain that (a11, a22) ∉ Γ(δ, q1, q2), which is absurd. Therefore, (a11, a22) ∉ Rs(δ).

Hence, the proof of the inclusion Q(δ) ⊆ ℝ2\(Rs(δ) ∪ Ru(δ)) is now complete.

Step 2. Proof of the inclusion2\(Rs(δ) ∪ Ru(δ)) ⊆ Q(δ).

Considering the function Fδ : ℝ × (0, 1] × (0, 1] → ℝ2 defined by

Fδ(ω,q1,q2)=(δq1q1+q2h(ω,q1,q2),δq2q1+q2h(ω,q1,q2)),

it is easy to see that Q(δ) represents the image of the function Fδ, i.e.: Q(δ) = Fδ(ℝ × (0, 1] × (0, 1]).

From Remark 3.4, it easily follows that

Re(δ)={(a11,a22)2:0a11+a22<2δ}Q(δ).

Moreover, as h(−ω, q1, q2) = h(ω, q2, q1) for any q1q2, it follows that Q(δ) is symmetric with respect to the first bisector a11 = a22 of the (a11, a22)-plane. Therefore, in order to determine Q(δ) it suffices to find its intersection with an arbitrary straight line lm : a11a22 = m, m ∈ ℝ, which is parallel to the first bisector of the (a11, a22)-plane. First, Lemma 3.1 implies that each curve Γ(δ, q1, q2) is the graph of a smooth, decreasing, concave, bijective function in the (a11, a22)-plane, and hence, it intersects the line lm exactly in one point. In other words, for arbitrarily fixed q1, q2 ∈ (0, 1] and m ∈ ℝ, the equation

(3.10)δq1q1+q2h(ω,q1,q2)δq2q1+q2h(ω,q1,q2)=m

has a unique solution ωm(q1,q2). From the implicit function theorem and the properties of the function h it follows that the function ωm is continuously differentiable on the open sets

S={(q1,q2)(0,1)2:q1<q2},S+={(q1,q2)(0,1)2:q1>q2}.

Therefore, the abscissa of the point of intersection Γ(δ, q1, q2) ∩ lm is

a11m(q1,q2)=δq1q1+q2h(ωm(q1,q2),q1,q2).

The function a11m is continuously differentiable on S and S+, and hence, a11m(S±) are intervals. The problem of determining these intervals reduces to finding the extreme values of the function a11m over the sets S and S+, respectively.

Defining the functions

α1(ω,q1,q2)=δq1q1+q2h(ω,q1,q2)andα2(ω,q1,q2)=δq2q1+q2h(ω,q1,q2),

from (3.10) and the implicit function theorem it follows that

ωmqk(q1,q2)=α1qkα2qkα1ωα2ω|(ωm(q1,q2),q1,q2),k=1,2¯.

In what follows, we will show that the function a11m does not have any critical points inside S±. Indeed, assuming that a11m(q1,q2)=0 for (q1, q2) ∈ S±, taking into account that a11m(q1,q2)=α1(ωm(q1,q2),q1,q2), a simple application of the chain rule leads to:

α1ω(ωm(q1,q2),q1,q2)ωmqk(q1,q2)+α1qk(ωm(q1,q2),q1,q2)=0,k=1,2¯.

Combining the last two relations, it follows that:

α1ωα2qk=α1qkα2ω,k=1,2¯,

where the arguments have been dropped for simplicity. Plugging in the expression of the function h given in Lemma 3.1 and eliminating δ from the previous system leads to a quadratic equation in ξ=e(q1+q2)ωm which has a negative discriminant: (q12ρ22q22ρ12)2, and hence, does not admit real roots.

Therefore, the extreme values of the function a11m are reached on the boundaries of the sets S±, respectively. This is equivalent to the fact that the boundary Q(δ) is composed of points belonging to Γ(δ, q1, q2) when (q1, q2) ∈ S±. Hence, it remains to show that Rs(δ) ∪ Ru(δ) = Q(δ).

On one hand, due to the fact that h(ω, q1, q2) → 1 as q1 → 0, for any ω ∈ ℝ and q2 ∈ (0, 1], it is easy to see that as (q1, q2) → (0, q), with q ∈ (0, 1], the curve Γ(δ, q1, q2) approaches the union of half-lines given parametrically by

H1:{a11=1+min{0,t}a22=δ(1max{0,t}),t.

Similarly, due to the property h(−ω, q1, q2) = h(ω, q2, q1) which holds for any q1q2, we obtain that as (q1, q2) → (q, 0), with q ∈ (0, 1], the curve Γ(δ, q1, q2) approaches the union of half-lines

H2:{a11=δ(1+min{0,t})a22=1max{0,t},t.

Moreover, Remark 3.4 provides that

Γ(δ,1,1):a11+a22=0.

Therefore, a simple geometric analysis of the relative positions of the half-lines H1 and H2 given above and the line a11 + a22 = 0 shows that Rs(δ) ⊂ Q(δ).

On the other hand, considering δ ≠ 1 and choosing ω = 0 in the parametric equations of the curve Γ(δ, q1, q2), q1q2, given by Lemma 3.1, it follows that the points

(a110(q1,q2),a220(q1,q2))=(δq1q1+q2(ρ2ρ1),δq2q1+q2(ρ2ρ1))

belong to Q(δ). Let us also notice that the point (δq1q1+q2,δq2q1+q2) belongs to the arc of the parabola P : a11a22 = δ, considered between the points (1, δ) and (δ, 1). Hence:

d((a110,a220),P)d((a110,a220),(δq1q1+q2,δq2q1+q2))=|ρ2ρ11|δ2q1q1+q2+δ2q2q1+q22max(1,δ)|ρ2ρ11|=2max(1,δ)(1cos(q1+q2)π4cos(q2q1)π4)0,

as either q1 → 0 or q2 → 0. Therefore, PQ(δ).

In a similar manner, considering ω=ln(δ)q1+q2 in the parametric equations of the curve Γ(δ, q1, q2), q1q2, given by Lemma 3.1, it follows that the points (a11δ(q1,q2),a22δ(q1,q2))=(ρ2δρ1,δρ2ρ1)Q(δ). For an arbitrary μ > 0, μ ≠ 1, let us consider the sequence of points

Mn=(a11δ(1n,μn),a22δ(1n,μn))Q(δ),n+,n>[μ].

Applying L’Hospital’s rule results in

limnMn=(μδμ1,δμ1μ1):=Mμ.

It is now easy to deduce that the set of limit points Mμ, with μ > 0, μ ≠ 1, is in fact the straight line a11 + a22 = δ + 1, except the segment joining the points of coordinates (1, δ) and (δ, 1). Therefore, the straight line a11 + a22 = δ + 1 without the segment between (1, δ) and (δ, 1) is also included in Q(δ). Combined with the previous result concerning the arc of parabola P, it follows that Ru(δ) ⊂ Q(δ).

The case δ = 1 is trivial, as the boundary Ru(δ) becomes the whole straight line a11 + a22 = 2, which is the limit of Γ(1, q, q) as q → 0.

Hence, the proof is now complete.

Remark 3.6

In Fig. 5, for δ = 4, we exemplify the set Q(δ) and the results presented in Lemma 3.5, by plotting a large number of curves Γ(δ, q1, q2) for (q1,q2)=(j40,k40), with j,k=1,40¯. The union of all these curves fills in the white region represented in Fig. 1, which separates the stability region Rs(δ) and the instability region Ru(δ).

Figure 5 Curves Γ(δ, q1, q2) given by Lemma 3.1, for det(A) = δ = 4 and qi∈{k40, k=1,40¯}$q_i\in\left\{\frac{k}{40},\;k=\overline{1,40}\right\}$, i=1,2¯$i=\overline{1,2}$ (1600 curves), color-coded from red to violet according to increasing values of q1q2. The red/blue shaded regions represent the sets Ru(δ) and Rs(δ), respectively
Figure 5

Curves Γ(δ, q1, q2) given by Lemma 3.1, for det(A) = δ = 4 and qi{k40,k=1,40¯}, i=1,2¯ (1600 curves), color-coded from red to violet according to increasing values of q1q2. The red/blue shaded regions represent the sets Ru(δ) and Rs(δ), respectively

We finally present the proofs of the main theorems.

Proof of Theorem 3.1

Proof of statement (i). Because Δ(0) = δ < 0 and Δ(∞) = ∞, due to the fact that Δ is continuous on (0, ∞), it results that it has at least one strictly positive real root. Therefore, based on Proposition 3.1, it follows that system (3.1) is unstable.

Proof of statement (ii). If Δ(0) = δ > 0, sufficiency is provided by Lemma 3.3. For the proof of necessity, assuming that system (3.1) is unstable, regardless of the fractional orders q1 and q2, and assuming by contradiction that (a11, a22) ∉ Ru(δ), using Lemma 3.5 it follows that there exist q1*,q2*(0,1] (not unique) such that (a11, a22) is in the connected component of 2Γ(δ,q1*,q2*) which includes Rs(δ), i.e. (a11, a22) is below the curve Γ(δ,q1*,q2*). Hence, based on Theorem 3.3, it follows that system (3.1) with the particular fractional orders q1*,q2* is asymptotically stable, which is absurd.

Proof of Theorem 3.2

Sufficiency is provided by Lemma 3.4. As for the proof of necessity, let us assume that system (3.1) is asymptotically stable, regardless of the fractional orders q1 and q2, and assume by contradiction that (a11, a22) ∉ Ra(δ). Lemma 3.5 provides that there exist q1*,q2*(0,1] (not unique) such that (a11, a22) is in the connected component of 2Γ(δ,q1*,q2*) which includes Ru(δ), i.e. (a11, a22) is above the curve Γ(δ,q1*,q2*). Hence, based on Theorem 3.3, it follows that system (3.1) with the particular fractional orders q1*,q2* is not asymptotically stable, which contradicts the initial hypothesis.

4 Conclusions

In this work, a complete characterization of fractional-order-independent stability and instability properties of two-dimensional incommensurate linear fractional-order systems has been achieved. Moreover, necessary and sufficient conditions have also been presented for the stability and instability of two-dimensional fractional-order systems, depending on the choice of the fractional orders of the Caputo derivatives. These results provide comprehensive practical tools for a straightforward stability analysis of two-dimensional fractional-order systems encountered in real world applications.

Extension of these results to the case of two-dimensional systems of fractional-order difference equations requires further investigation. A possible generalization to higher-dimensional fractional-order systems is still an open question which will be addressed in future research, taking into account the increasing complexity of the problem.

Appendix A

A.1 Boundedness of the set of unstable roots of Δ(s; a11, a22, δ, q1, q2)

The characteristic equation of system (3.1) is

sq1+q2a11sq2a22sq1+δ=0.

Denoting α=q1+q22 and β=q2q12, with 0 ≤ β < α ≤ 1, the characteristic equation can be written as

s2αa11sα+βa22sαβ+δ=0.

Dividing by δsα, we obtain:

(A.1)sαδ+δsα=a11δsβ+a22δsβ.

Denoting z=sαδ,c1=a11(δ)βα1,c2=a22(δ)βα1 and c = (c1, c2), equation (A.1) becomes

z+z1=c1zβα+c2zβα.

Denoting p=q1+q22min{q1,q2}1 and q=α|β|=q1+q2|q1q2|1 it follows that 1p+1q=1, and Young’s inequality provides:

(A.2)||z||z|1||z+z1||c1||z|βα+|c2||z|βα1p(|c1|p+|c2|p)+1q(|z|+|z|1)=(11q)cpp+1q(|z|+|z|1).

On one hand, if |z| > |z|−1, or equivalently |z| > 1, inequality (A.2) can be written as the quadratic inequality

|z|2cpp|z|γ0,

where γ=q+1q1, which in turn, implies that

(A.3)|z|cpp+γ.

On the other hand, if |z| < |z|−1, or equivalently |z| < 1, inequality (A.2) leads to the quadratic inequality

γ|z|2+cpp|z|10,

and hence:

(A.4)|z|cpp+cp2p+4γ2γ.

In the above calculations,

cpp=|c1|p+|c2|p=|a11|p(δ)p(βα1)+|a22|p(δ)p(βα+1).

Furthermore, as

p(βα1)=q1+q22min{q1,q2}(q2q1q2+q11)=q1min{q1,q2},p(βα+1)=q1+q22min{q1,q2}(q2q1q2+q1+1)=q2min{q1,q2},

we have:

cpp=|a11|p(δ)q1min{q1,q2}+|a22|p(δ)q2min{q1,q2}D(δ,q1,q2)app,

where D(δ,q1,q2)=max{(δ)q1min{q1,q2},(δ)q2min{q1,q2}}.

Therefore, inequalities (A.3) and (A.4) provide that

(A.5)cpp+cp2p+4γ2γ|z|cpp+γ

Considering the decreasing function f : ℝ+ → ℝ+ defined by

f(u)=u+u2+4γ2γ

and the increasing function F : ℝ+ → ℝ+

F(u)=u+γ,

inequality (A.2) becomes

f(cpp)|z|F(cpp).

Taking into consideration that cppD(δ,q1,q2)app and z=sαδ, the previous inequality implies

f(D(δ,q1,q2)app)f(cpp)|s|αδF(cpp)F(D(δ,q1,q2)app),

and thus:

(δf(D(δ,q1,q2)app))1α|s|(δF(D(δ,q1,q2)app))1α.

Therefore, considering the decreasing function lδ,q1,q2:++ defined by

lδ,q1,q2(v)=(δf(D(δ,q1,q2)vp))1α

and the increasing function Lδ,q1,q2:++ defined by

Lδ,q1,q2(v)=(δF(D(δ,q1,q2)vp))1α,

inequality (3.4) is obtained.

A.2 Proof of inequality (3.8)

Because of symmetry, it suffices to prove inequality (3.8) for α ≥ 1, i.e.

αycosy+αyxcos(yx)+αxcosx1,x,y[0,π2],α1.

Denoting h(x) = αyx cos(yx) + αx cos x, its derivative is

h(x)=αyxln(α)cos(yx)+αyxsin(yx)αxln(α)cosxαxsinx

The equation h′(x) = 0 is equivalent to

tanx=αysinyαyln(α)cosyln(α)1+αyln(α)siny+αycosy

which has a solution x*(y) on the interval [0,π2) if and only if the numerator of the right-hand term of the above equations positive, i.e.

(A.6)αy(sinyln(α)cosy)ln(α).

If inequality (A.6) does not hold, it means in fact that h′(0) < 0, which implies h′(x) < 0, for any x(0,π2). Therefore the function h is decreasing and its minimal value is h(π2)=αyπ2siny.

Otherwise, if inequality (A.6) holds, i.e. h′(0) ≥ 0, it turns out that x*(y) is a maximum point of h(x) and the function h is increasing on the interval (0, x*(y)) and decreasing on the interval (x*(y),π2). Therefore, the minimal value of the function h is either h(0) = αy cos y + 1 or h(π2)=αyπ2siny. However, it is easy to see that αyπ2siny1, for any y(0,π2), and hence, the minimal value of the function h is h(π2)=αyπ2siny.

Therefore, we obtain that

h(x)αyπ2siny,x,y[0,π2],α1,

which leads to:

(A.7)αycosy+αyxcos(yx)+αxcosxαycosy+αyπ2siny.

Considering the function g(y)=αycosy+αyπ2siny and its derivative

g(y)=αyln(α)cosyαysiny+αyπ2ln(α)siny+αyπ2cosy,

we obtain that g′(y) = 0 if and only if

y=y*=arctan(ln(α)+απ21ln(α)απ2).

It can be easily seen that y* is a local maximum point for the function g on the interval (0,π2), and hence, the minimal values of g are reached in g(0)=g(π2)=1. Therefore, g(y) ≥ 1, for any y[0,π2], and combined with (A.7), we obtain inequality (3.8).

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Received: 2019-10-14
Revised: 2020-11-17
Published Online: 2021-01-29
Published in Print: 2021-02-23

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