Comparison theorem of nonlinear fractional differential equations and application
TÓM TẮT
ĐỊNH LÝ SO SÁNH NGHIỆM CỦA PHƯƠNG TRÌNH VI PHÂN CẬP
PHÂN SỐ PHI TUYẾN VÀ ỨNG DỤNG
Trong bài báo này, đầu tiên chúng tôi đưa ra và chứng minh định lý so sánh
nghiệm cho phương trình vi phân cấp phân số phi tuyến, sau đó, chúng tôi áp dụng
định lý này để thành lập và chứng minh định lí ổn định tiệm cận của phương trình vi
phân cấp phân số phi tuyến dưới các điều kiện phù hợp.
Từ Khóa: Đạo hàm Caputo; Đạo hàm cấp phân số; Ổn định tiệm cận.
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Toán học, Cơ học & Ứng dụng D. X. Hung, N. T. Hong, “Comparison theorem of equations and application.” 232 COMPARISON THEOREM OF NONLINEAR FRACTIONAL DIFFERENTIAL EQUATIONS AND APPLICATION Dao Xuan Hung1,*, Nguyen Thi Hong2 Abstract: In this paper, we first establish a comparison theorem for the nonlinear factional differential equations, then derive a local asymptotical stability theorem for the nonlinear differential equation under some suitable conditions. Keywords: Caputo derivative; Equilibrium; Asympticalability. 1. INTRODUCTION In recent decades, fractional calculus and fractional differential equations attract much attention and increasing interests due to their potential applications in sciences and engineering ([1, 6, 9, 11, 12] and many references cited therein). Fractional differenital/integral operator is one kind of the pseudo-differential operators [10]. It plays an important role in fractional equations. In general three kinds of fractional derivative operators are used, including Gr¨unwald-Letnikov fractional derivative operator, Riemann -Liouville fractional derivative operator and Caputo fractional derivative operator. They are not equivalent but have close relations [6, 7, 12]. In applied sciences and engineering, the Caputo derivative is often used. In this paper the involved fractional derivative indicates the Caputo derivative, which is defined as = in which m = , i.e., m is the first integer not less than α, is the usual mth-order derivative with respect to τ . In real applications, the fractional order α is often less than 1, here we restrict α ∈ (0, 1) as usual. For the case α > 1, we can often translate the fractional systems into systems with the same actional order which lies in (0,1) provided some suitable conditions are satisfied [2]. The Cauchy problem of the fractional differential equation reads as = f(t, x), x(0) = , (1) If we request the vector function f is continuous and satisfies a Lipschitz condition with respect to the second argument x on a suitable set G, then the initial value problem (1) determines a unique solution on some interval [0, T] [4]. Throughout the paper, we always assume f fulfils the above condition on a suitable set which we call G, so equation (1) exists one and only one solution defined on [0, T]. In [8], Matignon studied stability of zero solution to the following fractional system (t) = AX with X(0) = = , where X = , α ∈ (0, 1), A ∈ . Afterwards, Li, et al., further studied stability of zero solution of the above system with multiple time-delays [3]. All this stability belongs to linear stability. In this paper, we mainly study nonlinear stability of fractional differential equation. The outline of the present paper is arranged as follows. In Section 2, some basic notions are introduced and the Comparison Theorem is established. In the last section, we derive a symptotical stability theorem of the fractional nonlinear differential equation. 2. COMPARISON THEOREM The autonomous differential equation with Caputo derivative is in the following form, = f(x), (2) with initial condition x(0) = . In this paper, we mainly consider stability of equilibrium Nghiên cứu khoa học công nghệ Tạp chí Nghiên cứu KH&CN quân sự, Số Đặc san CBES2, 04 - 2018 233 to equation (2). We assume that the initial problem (2.1) has one and only one solution. This solution is denoted by x(t) = φ(t; ). In the following, we give some definitions. 2.1. Definition 2.1. If there exists a constant e such that f(e) = 0, then e is called an equilibrium point to equation (2). 2.2. Definition 2.2. The equilibrium point e to (2.1) is said to be: 1)locally stable if ∀ > 0, there exists a δ > 0 such that |x(t) − e| < holds for ∀ ∈ {z : |z − e| < δ} and ∀t ≥ 0; 2) local asymptotically stability if x(t) is locally stable and = e. The theorem below can be found in [4]. 2.3. Theorem 2.1. If f is continuous and α ∈ (0, 1), then the Cauchy problem is equivalent to a nonlinear integral equation of the second kind, . Next, we establish a comparison theorem for the fractional differential equations. Consider the following fractional equations, = f(t, x), (3) = F(t, x), (4) 2.4. Theorem 2.2. Consider equations (3) and (4) with initial value condition ( , x( )) = (0, ). If f, F are continuous then (3) and (4) have one and only one solution x(t), y(t) passing through (0, ), respectively. Besides, if the vector functions satisfy f(t, x) F(t, x), then x(t) y(t) for t > 0. Proof. The solutions of systems (5) and (6) can be expressed in the following form: (5) And (6) Subtracting Eq. (6) from Eq. (5), one has y(t) – x(t) = (7) Since is a nonnegative function, it then follows from Eq. (7) that x(t) . The proof is completed. Similar to the ordinary differential equation, the solution of equation (1) can be extended to +∞. This fact means that the conclusions of Theorem 2.2 hold for (0,+∞). In the last section, we discuss the stability of equilibrium to the autonomous nonlinear differential equation with Caputo derivative. Since the non-zero equilibrium of differential equation with Caputo derivative can be moved to the origin, we only study stability of the zero solution of the considered equation. 3. ASYMPTOTICAL STABILITY ANALYSIS In this section, we derive the following stability theorem. Theorem 3.1. If the nonlinear equation = f(x) with α ∈ (0, 1) satisfies following conditions: (i) f(0) = 0, (ii) the 2th-order derivative f’’(x) of f(x) is continuous and f’(0) < 0, (iii) if its non-zero solution x(t) = φ(t; ) has a zero point but its derivative value at this zero point is non-zero, then the zero solution is locally asymptotically stable. Proof. Set f’(0) = λ, s(x)x = f(x) – f’(0)x, then near the zero solution one has f(x) = f’(0)x + o(x) = (λ + s(x))x, Toán học, Cơ học & Ứng dụng D. X. Hung, N. T. Hong, “Comparison theorem of equations and application.” 234 where s(x) = O(x). Since f’(0) m > 0 such that −M < λ+s(x) 0, or −Mx > f(x) > −mx if x < 0, for all x ∈ (−δ, δ) with δ > 0 small enough. Now, we assert that for the initial value | | small enough then |x(t)| 0. Because λ < 0, there exits a positive constant small enough such that ∀ ∈ {z : |z| 0. For ≤ 0, this case can be similarly proved so it is omitted here. Firstly, following Theorem 2.1 we have that equation (2.1) is equivalent to . It is obvious that x(t) is continuous with respect to t, so we can take > 0 small enough such that < i.e., . Therefore, . Thus, there exits a small such that the solution x(t) of (2.1) satisfies . Now, we shall prove that before x(t) passes through time-axis t, that is, before it becomes negative if it does indeed, it is always less than . Infact, if x(t) equals to in the first time, say, at time > 0, x( ) = and > x(t) ≥ 0 for all t ∈ (0, ), then . From the above formula, we know but, clearly due to assumption. So the conclusion holds. Next, we show that x(t) never transverses the time-axis t, i.e., it is always non- negative. Assume x(t) transverses the time-axis t in the first time , then for > 0 small enough, ]. Thus, we get , , In which then = Nghiên cứu khoa học công nghệ Tạp chí Nghiên cứu KH&CN quân sự, Số Đặc san CBES2, 04 - 2018 235 = + . (8) For the right hand of (8), And So + . But the left hand of (3.1) is negative, this is a contradiction. Therefore, 0 ≤ x(t) 0 and > 0. Based on assumption (iii), x(t) is strictly positive for this situation. So, we draw a conclusion: for the initial value | | small enough, the non-zero solutions |x(t)| 0 if > 0, x(t) < 0 if < 0. Now for small δ > 0, small initial value | | > 0, and (t, x) ∈(0,+∞) × {(−δ, δ)\{0}}, one has −Mx 0, or, −Mx > f(x) > −mx if < 0. Now, consider following three equations: (8) (9) and (10) These equations satisfy the conditions of Theorem 2.2, therefore x(t) 0 and x(t) > y(t) > z(t) if 0, where x(t), y(t) and z(t) solve (9), (2) and (10), respectively. It is evident that = = 0. Thus, . This completes the proof. 4. CONCLUSIONS In this paper, we first give Definitions about locally stable, local asymptotically stability, then we derive and prove a comparison theorem. At last, we aply the comparison theorem to give and prove a local asymptotical stability theorem for the nonlinear differential equation under some suitable conditions. These results are helpful to study fractional differential equations and establishing fractional models in science and engineering. REFERENCES [1]. J. Audounet, D. Matignon, G. Montseny, “Semi-linear diffusive representations for nolinear fractional differential systems”, in Nonlinear Control in the year 2000, A. Toán học, Cơ học & Ứng dụng D. X. Hung, N. T. Hong, “Comparison theorem of equations and application.” 236 Isidori, F. Lamnabhi-Lagarrigue and W. Respondek eds Vol. 1, CNRS-NCN, Springer-Verlag (2000), 78-82. [2]. W.H. Deng, C.P. Li, Q. Guo, “Analysis of fractional differential equations with multi-order”, Fractals 15 (2007), 173-182. [3]. W.H. Deng, C.P. Li, J.H. Lu,” Stability analysis of linear fractional differential system with multiple time-delays”, Nonlinear Dynamics 48 (2007), 409-416. [4]. K. Diethelm, N.J. Ford, “Analysis of fractional differential equations”, J.Math. Anal. Appl 265 (2002), 229-248. [5]. K. Diethelm, N.J. Ford, A.D. Freed, “Detailed error analysis for a fractional Adams method”. Numer. Algor 36 (2004), 31-52. [6]. A.A. Kilbas, H.M. Srivastava, J.J. Trujillo, “Theory and Applications of Fractional Differential Equations”. Elsevier, New York (2006). [7]. C.P. Li, W.H. Deng, “Remarks on fractional derivatives”, Appl. Math. Comput. 187(2) (2007), 777-784. [8]. D. Matignon, “Stability results for fractional differential equations with applications to control processing”, in Computational Engineering in Systerms and ApplicationMulticonference. MACS, IEEE-SMC, Lille, France 2 (1996), 963-968. [9]. K.S. Miller, B. Ross, “An Introduction to the Fractional Calculus and Fractional Differential Equations”, Wiley-Interscience (Johns Wiley & Sons), New York (1993). [10]. G.Montsney,” Diffusive representation of pseudo-differential time-operators”, ESAIM: Proceeding 5 (1998), 1-204. [11]. K.B. Oldham, J. Spanier, “The Fractional Calculus. Academic Press”, New York (1974, renewed 2006). [12]. I. Podlubny, “Fractional Differential Equations”. Academic Press, New York (1999). TÓM TẮT ĐỊNH LÝ SO SÁNH NGHIỆM CỦA PHƯƠNG TRÌNH VI PHÂN CẬP PHÂN SỐ PHI TUYẾN VÀ ỨNG DỤNG Trong bài báo này, đầu tiên chúng tôi đưa ra và chứng minh định lý so sánh nghiệm cho phương trình vi phân cấp phân số phi tuyến, sau đó, chúng tôi áp dụng định lý này để thành lập và chứng minh định lí ổn định tiệm cận của phương trình vi phân cấp phân số phi tuyến dưới các điều kiện phù hợp. Từ Khóa: Đạo hàm Caputo; Đạo hàm cấp phân số; Ổn định tiệm cận. Nhận bài ngày 26 tháng 02 năm 2018 Hoàn thiện ngày 16 tháng 3 năm 2018 Chấp nhận đăng ngày 20 tháng 3 năm 2018 Địa chỉ: 1 Khoa Khoa học cơ bản, Trường Đại học Mỏ- Địa chất; 2 Khoa Khoa học cơ bản, Học viện Kỹ thuật Mật mã. * Email: daoxuanhung@humg.edu.vn.
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