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Stability of conductivities in an inverse problem in the reaction-diffusion system in electrocardiology

  • In this paper, we study the stability result for the conductivities diffusion coefficients to a strongly reaction-diffusion system modeling electrical activity in the heart. To study the problem, we establish a Carleman estimate for our system. The proof is based on the combination of a Carleman estimate and certain weight energy estimates for parabolic systems.

    Citation: Bedr'Eddine Ainseba, Mostafa Bendahmane, Yuan He. Stability of conductivities in an inverse problem in the reaction-diffusion system in electrocardiology[J]. Networks and Heterogeneous Media, 2015, 10(2): 369-385. doi: 10.3934/nhm.2015.10.369

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  • In this paper, we study the stability result for the conductivities diffusion coefficients to a strongly reaction-diffusion system modeling electrical activity in the heart. To study the problem, we establish a Carleman estimate for our system. The proof is based on the combination of a Carleman estimate and certain weight energy estimates for parabolic systems.


    In recent years, nonlinear partial differential equations (NPDEs) are widely used to describe complex phenomena in various fields of sciences, such as fluid mechanics, plasma, chemical reactions, optical fibers, solid state physics, relativity, ecology, gas dynamics physics and optical fiber, [1,2,3,4,5,6,7,8,9,10,11]. Therefore, exploring exact solutions for NPDEs plays an important role in nonlinear science. These solutions might be essential and important for the exploring some physical phenomena. Therefore investigating new technique to solve so many problems is so interesting topic. Thus, many new methods have been introduced, such as the F-expansion method [12,13], $ (\frac{G^{'}}{G})- $ expansion method [14,15], tanh-sech method [16,17,18], exp-expansion method [19,20], the homogeneous balance method [21,22], Jacobi elliptic function method [23,24], sine-cosine method [25,26,27], extended tanh-method [28,29] and the Riccati-Bernoulli sub-ODE method [30,31,32,33] proposed for solving more complicated problems. Indeed, there are recent development in analytical methods for investigation solutions for NPDEs, see [34,35,36,37,38,39,40].

    The nonlinear Schrödinger equations (NLSEs) are so important models in nonlinear evolution equations, which come in many areas of applied sciences such as nonlinear optics, quantum mechanics, fluid dynamics, molecular biology, elastic media, hydrodynamics, biology and plasma physics.

    This paper is concerned with the unstable nonlinear Schrödinger equation (UNS) [41,42] given by

    $ iqt+qxx+2ηq2q2γq=0,i=1, $ (1.1)

    where, $ \eta, \gamma $ is a free parameter and $ q = q(x, t) $ is a complex-valued function. Equation (1.1) is a type of nonlinear Schrödinger equation with space and time exchanged. This equation prescribes a time evolution of disturbances in unstable media. The behavior of type occurs for the two-layer baroclinic instability and the lossless symmetric two-stream plasma instability [43]. To the best of our knowledge, no previous research work has been done using the proposed methods for solving the unstable nonlinear Schrödinger equation. Actually, many numerical and analytical methods have been also implemented to get solutions for Eq (1.1) such as modified Kudraysov method, the sine-Gordon expansion approach [41], $ exp_{a} $ method and hyperbolic function method [42], the new Jacobi elliptic function rational expansion method and the exponential rational function method [44], the extended simple equation method[45].

    The main aim of this paper is to explore the UNS equation using exp$ (-\varphi(\xi)) $-expansion method, sine-cosine method and Riccati-Bernoulli sub-ODE method. We also show that the Riccati-Bernoulli sub-ODE technique gives infinite solutions. Actually, we introduce new types of exact analytical solutions. Comparing our results with other results, one can see that our results are new and most extensive. Indeed the new solutions presented in this article are so important in the theory of soliton. Moreover these solutions turn out to be very useful for Physicists to explain many interesting physical phenomena.

    The rest of the paper is arranged as follows: In Section 2, the exp-function method, sine-cosine method and Riccati-Bernoulli sub-ODE method are briefly reviewed. In Section 3, some new exact solutions of the unstable Schrödinger equation are presented. Discussion of our results and comparing with the results of other authors is in Section 4. Conclusion and future works will appear in Section 5.

    We present a brief description about the exp$ (-\varphi(\xi)) $-expansion method, sine-cosine method and Riccati-Bernoulli sub-ODE method to obtain new exact solutions for a given NPDE. For this goal, consider a NPDE in two independent variables $ x $ and $ t $ as

    $ G(ϑ,ϑt,ϑx,ϑtt,ϑxx,....)=0, $ (2.1)

    where $ G $ is a polynomial in $ \vartheta(x, t) $ and its partial derivatives. The main steps are as follows [30]:

    Step 1. Introducing the transformation

    $ ϑ(x,t)=ϑ(ξ),ξ=k(x+ςt), $ (2.2)

    varies Eq (2.1) to the following ordinary differential equation (ODE):

    $ D(ϑ,ϑ,ϑ,ϑ,.....)=0, $ (2.3)

    where $ D $ is a polynomial in $ \vartheta(\xi) $ and its derivatives such that the superscripts denote the ordinary derivatives with respect to $ \xi $.

    According to the exp$ (-\varphi(\xi)) $-expansion technique [19,20,31], we assume that the solution of Eq (2.3) can be written in a polynomial form of $ exp(-\varphi(\xi)) $ as follows

    $ ϑ(ξ)=Am(exp(φ(ξ)))m+.....,  am0, $ (2.4)

    where $ \varphi(\xi) $ obeys the following ODE

    $ φ(ξ)=exp(φ(ξ))+νexp(φ(ξ))+λ. $ (2.5)

    Eq (2.5) has the following solutions:

    1. At $ \lambda^{2}-4\nu > 0, \nu\neq0, $

    $ φ(ξ)=ln(λ24ν tanh(λ24ν2(ξ+C))λ2ν), $ (2.6)

    2. At $ \lambda^{2}-4\nu < 0, \nu\neq0, $

    $ φ(ξ)=ln(4νλ2 tan(4νλ22 (ξ+C))λ2ν), $ (2.7)

    3. At $ \lambda^{2}-4\nu > 0, \nu = 0, \lambda \neq0 $

    $ φ(ξ)=ln(λexp(λ(ξ+C))1), $ (2.8)

    4. At $ \lambda^{2}-4\nu = 0, \nu\neq0, \lambda\neq0, $

    $ φ(ξ)=ln(2(λ(ξ+C)+2)λ2(ξ+C)), $ (2.9)

    5. At $ \lambda^{2}-4\nu = 0, \nu = 0, \lambda = 0, $

    $ φ(ξ)=ln(ξ+C). $ (2.10)

    Here $ C $ is an arbitrary constant.

    Finally, superseding Eq (2.4) with Eq (2.5) into Eq (2.3) and agammaegating all terms of the same power $ exp\left(-m\varphi(\xi)\right) $, $ m = 0, 1, 2, 3, ... $. After that equating them to zero, we get algebraic equations solved by Mathematica or Maple to obtain the values of $ a_i $. Hence, we get the solutions (2.4), which give the exact solutions of Eq (2.3).

    The solutions of Eq (2.3) can be expressed in the form [46,47]

    $ ϑ(x,t)={αsinr(βξ),ξπβ,0,otherwise,, $ (2.11)

    or in the form

    $ ϑ(ξ)(x,t)={αcosr(βξ),ξπ2μ,0,otherwise,, $ (2.12)

    where $ \alpha, \; \beta $ and $ r\neq0 $, are parameters determined in sequel. From (2.11) we have

    $ ϑ(ξ)=αsinr(βξ),ϑn(ξ)=αnsinnr(βξ),(ϑn)ξ=nβrαncos(βξ)sinnr1(βξ),(ϑn)ξξ=n2β2rαnsinnr(βξ)+nβ2αnr(nr1)sinnr2(βξ), $ (2.13)

    and from (2.12) we have

    $ ϑ(ξ)=αcosr(βξ),ϑn(ξ)=αncosnr(βξ),(ϑn)ξ=nβrαnsin(βξ)cosnr1(βξ),(ϑn)ξξ=n2β2rαncosnr(βξ)+nβ2αnr(nr1)cosnr2(βξ). $ (2.14)

    Finally, superseding Eq (2.13) or Eq (2.14) into Eq (2.3), then balance the terms of the cosine functions (2.14) or the sine functions (2.13). Then, we sum all terms with the same power in $ cos^{r}(\beta\xi) $ or $ sin^{r}(\beta\xi) $ and equating their coefficients to zero in order to obtain an algebraic equations in the unknowns $ \beta, \; \alpha $ and $ r $. Solving this system yields these unknown constants.

    According to description of this method [30,31,32,33,48,49], we assume that Eq (2.3) has the following solution:

    $ ϑ=aϑ2n+bϑ+cϑn, $ (2.15)

    where $ a, b, c $ and $ n $ are constants calculated later. From Eq (2.15), we get

    $ ϑ=ab(3n)ϑ2n+a2(2n)ϑ32n+nc2ϑ2n1+bc(n+1)ϑn+(2ac+b2)ϑ, $ (2.16)
    $ ϑ=(ab(3n)(2n)ϑ1n+a2(2n)(32n)ϑ22n +n(2n1)c2ϑ2n2+bcn(n+1)ϑn1+(2ac+b2))ϑ. $ (2.17)

    The exact solutions of Eq (2.15), for an arbitrary constant $ \mu $ are given as follow:

    1. For $ n = 1 $, the solution is

    $ ϑ(ξ)=μe(a+b+c)ξ. $ (2.18)

    2. For $ n \neq 1 $, $ b = 0 $ and $ c = 0 $, the solution is

    $ ϑ(ξ)=(a(n1)(ξ+μ))1n1. $ (2.19)

    3. For $ n \neq 1 $, $ b\neq0 $ and $ c = 0 $, the solution is

    $ ϑ(ξ)=(ab+μeb(n1)ξ)1n1. $ (2.20)

    4. For $ n \neq 1 $, $ a\neq 0 $ and $ b^2-4ac < 0 $, the solution is

    $ ϑ(ξ)=(b2a+4acb22atan((1n)4acb22(ξ+μ)))11n $ (2.21)

    and

    $ ϑ(ξ)=(b2a4acb22acot((1n)4acb22(ξ+μ)))11n. $ (2.22)

    5. For $ n \neq 1 $, $ a\neq 0 $ and $ b^2-4ac > 0 $, the solution is

    $ ϑ(ξ)=(b2ab24ac2acoth((1n)b24ac2(ξ+μ)))11n $ (2.23)

    and

    $ ϑ(ξ)=(b2ab24ac2atanh((1n)b24ac2(ξ+μ)))11n. $ (2.24)

    6. For $ n \neq 1 $, $ a\neq0 $ and $ b^2-4ac = 0 $, the solution is

    $ ϑ(ξ)=(1a(n1)(ξ+μ)b2a)11n. $ (2.25)

    Bäcklund transformation

    When $ \vartheta_{m-1}(\xi) $ and $ \vartheta_{m}(\xi)(\vartheta_{m}(\xi) = \vartheta_{m}(\vartheta_{m-1}(\xi))) $ are the solutions of Eq (2.15), we obtain

    $ \frac{d\vartheta_{m}(\xi)}{d\xi} = \frac{d\vartheta_{m}(\xi)}{d\vartheta_{m-1}(\xi)} \frac{d\vartheta_{m-1}(\xi)}{d\xi} = \frac{d\vartheta_{m}(\xi)}{d\vartheta_{m-1}(\xi)}(a\vartheta_{m-1}^{2-n}+b\vartheta_{m-1}+c\vartheta_{m-1}^{n}), $

    namely

    $ dϑm(ξ)aϑ2nm+bϑm+cϑnm=dϑm1(ξ)aϑ2nm1+bϑm1+cϑnm1. $ (2.26)

    Integrating Eq (2.26) once with respect to $ \xi $, we obtain the following Bäcklund transformation of Eq (2.15):

    $ ϑm(ξ)=(cK1+aK2(ϑm1(ξ))1nbK1+aK2+aK1(ϑm1(ξ))1n)11n, $ (2.27)

    where $ K_1 $ and $ K_2 $ are arbitrary constants. If we get a solution for this equation, we use Eq (2.27) to obtain infinite sequence of solutions of Eq (2.15), as well of Eq (2.1).

    In order to solve the Eq (1.1), using exp$ (-\varphi(\xi)) $-expansion method and the Riccati-Bernoulli sub-ODE method, the following solution structure is selected

    $ q(x,t)=eiχ(x,t)u(ξ),χ(x,t)=px+νt,ξ=kx+ωt, $ (3.1)

    where $ p $, $ \nu $, $ k $ and $ \omega $ are constants. Substituting (3.1) into (1.1), we have the ODE

    $ k2u2u3(p2+ν+2γ)u=0,ω=2pk,η=1. $ (3.2)

    Now we apply exp$ (-\varphi(\xi)) $-expansion and the Riccati-Bernoulli sub-ODE methods for Eq (3.2).

    According to the exp$ (-\varphi(\xi)) $-expansion technique, Eq (3.2) has the following solution

    $ u=A0+A1exp(φ), $ (3.3)

    where $ A_0 $ and $ A_1 $ are constants and $ A_1 \neq 0 $. It is easy to see that

    $ u=A1(2exp(3φ)+3λexp(2φ)+(2μ+λ2)exp(φ)+λμ), $ (3.4)
    $ u3=A31exp(3φ)+3A0A21exp(2φ)+3A20A1exp(φ)+A30. $ (3.5)

    Superseding $ u $, $ u'' $, $ u^3 $ into Eq (3.2) and hence equating the coefficients of $ exp{(-\varphi)} $ to zero, we obtain

    $ k2A1λμ2A30(p2+ν+2γ)A0=0, $ (3.6)
    $ k2A1(λ2+2μ)6A20A1(p2+ν+2γ)A1=0, $ (3.7)
    $ k2A1λ2A0A21=0, $ (3.8)
    $ k2A1A31=0. $ (3.9)

    Solving Eqs (3.6)–(3.9), we get

    $ A_0 = \pm\frac{k\lambda}{2}, A_{1} = \pm k, \nu = -\frac{1}{2}(4\gamma+k^2(\lambda^2-4\mu)+2p^2). $

    We consider only one case, whenever the other cases follow similarly. In this case, the solution of Eq (3.3) reads as:

    $ u(ξ)=±k2(λ+2exp(φ(ξ))). $ (3.10)

    Superseding Eqs (2.6)–(2.7) into Eq (3.10), we obtain:

    Case 1. At $ \lambda^{2}-4\mu > 0, \mu\neq0, $

    $ u1,2(x,t)=±k2(λ4μλ24μtanh(λ24μ2(ξ+C))+λ). $ (3.11)

    Using Eqs (3.1) and (3.11) the solutions of equation (1.1) are

    $ q1,2(x,t)=±k2eiχ(λ4μλ24μtanh(λ24μ2(ξ+C))+λ). $ (3.12)

    Case 2. At $ \lambda^{2}-4\mu < 0, \mu\neq0, $

    $ u3,4(x,t)=±k2(λ+4μ4μλ2tan(4μλ22(ξ+C))λ). $ (3.13)

    Using Eqs (3.1) and (3.13) the solutions of Eq (1.1) are

    $ q3,4(x,t)=±k2eiχ(λ+4μ4μλ2tan(4μλ22(ξ+C))λ). $ (3.14)

    Case 3. At $ \lambda^{2}-4\mu > 0, \mu = 0, \lambda \neq0 $

    $ u5,6(x,t)=±k2(λ+2λexp(λ(ξ+C))1). $ (3.15)

    Using Eqs (3.1) and (3.15) the solutions of Eq (1.1) are

    $ q5,6(x,t)=±k2eiχ(λ+2λexp(λ(ξ+C))1). $ (3.16)

    Case 4. At $ \lambda^{2}-4\mu = 0, \mu\neq0, \lambda\neq0, $

    $ u7,8(x,t)=±k2(λλ2(ξ+C)λ(ξ+C)+2). $ (3.17)

    Using Eq (3.1) and (3.17) the solutions of Eq (1.1) are

    $ q7,8(x,t)=±k2eiχ(λλ2(ξ+C)λ(ξ+C)+2). $ (3.18)

    Case 5. At $ \lambda^{2}-4\mu = 0, \mu = 0, \lambda = 0, $

    $ u9,10(x,t)=±k2(1ξt+C). $ (3.19)

    Using Eqs (3.1) and (3.19) the solutions of Eq (1.1) are

    $ q9,10(x,t)=±k2eiχ(1ξt+C). $ (3.20)

    Here $ k, \lambda, \mu, C $ are constants, $ \xi = k (x -2pt) $ and $ \chi = p x -\frac{1}{2}(4\gamma+k^2(\lambda^2-4\mu)+2p^2)\; t $.

    We have plotted these solutions in Figures 15. Figure 1(a) shows the real part of $ q = q_1(x, t) $ in (3.12), while Figure 1(b) shows imaginary part of this solution for $ k $ = 1.5, $ p $ = 1.5, $ \gamma $ = 1.3, $ \lambda $ = 2.3, $ \mu = 1 $, $ \omega $ = -4.5, $ \nu $ = -6.3012 and $ C $ = 1.4.

    Figure 1.  Shape of $ q_1 $ in (3.12), (a) real part and (b) imaginary part.
    Figure 2.  Shape of $ q_3 $ in (3.14), (a) real part and (b) imaginary part.
    Figure 3.  Shape of $ q_5 $ in (3.16), (a) real part and (b) imaginary part.
    Figure 4.  Shape of $ q_5 $ in (3.16), (a) real part and (b) imaginary part.
    Figure 5.  Shape of $ q_9 $ in (3.20), (a) real part and (b) imaginary part.

    Figure 2(a) shows the real part of $ q = q_3(x, t) $ in (3.14), while Figure 2(b) shows imaginary part of this solution for $ k $ = 1.2, $ p $ = 1.2, $ \gamma $ = 1.8, $ \lambda $ = 1.2, $ \mu = 2 $, $ \omega $ = -2.88, $ \nu $ = -0.3168 and $ C $ = 0.4.

    Figure 3(a) shows the real part of $ q = q_5(x, t) $ in (3.16), while Figure 3(b) shows imaginary part of this solution for $ k $ = 0.4, $ p $ = 0.6, $ \gamma $ = 0.3, $ \lambda $ = 1.2, $ \mu = 0 $, $ \omega $ = -0.48, $ \nu $ = -1.0752 and $ C $ = 1.

    Figure 4(a) shows the real part of $ q = q_7(x, t) $ in (3.18), while Figure 4(b) shows imaginary part of this solution for $ k $ = 0.5, $ p $ = 0.5, $ \gamma $ = 2.3, $ \lambda $ = 2, $ \mu = 1 $, $ \omega $ = -0.5, $ \nu $ = -4.85 and $ C $ = 4.

    Figure 5(a) shows the real part of $ q = q_9(x, t) $ in (3.20), while Figure 5(b) shows imaginary part of this solution $ k $ = -0.7, $ p $ = -0.5, $ \gamma $ = 0.8, $ \lambda = \mu $ = 0, $ \omega $ = -0.7, $ \nu $ = -1.85 and $ C $ = 4.

    According to sine-cosine technique, subtitling Eq (2.13) into Eq (3.2), gives

    $ k2(β2r2αsinr(βξ)+β2αr(r1)sinr2(βξ))2α3sin3r(βξ)(p2+ν+2γ)λsinr(βξ)=0. $ (3.21)

    Thus by comparing the coefficients of the sine functions, we get

    $ r10,r2=3r, k2β2αr(r1)2α3=0, k2β2r2α(p2+ν+2γ)α=0. $ (3.22)

    Solving this system gives

    $ r=1,α=±p2ν2γ,β=±(p2+ν+2γ)k, $ (3.23)

    for $ p^{2}+\nu+2\gamma < 0 $ and $ k \neq0 $. We get the same result if we also use the cosine method (2.14). Thus, the periodic solutions are

    $ ˜u1,2(x,t)=±p2ν2γsec((p2+ν+2γ)k(kx+ωt)),(p2+ν+2γ)k(kx+ωt)∣<π2 $ (3.24)

    and

    $ ˜u3,4(x,t)=±p2ν2γcsc((p2+ν+2γ)k(kx+ωt)),0<(p2+ν+2γ)k(kx+ωt)<π. $ (3.25)

    Using Eqs (3.1) and (3.19) the solutions of Eq (1.1) are

    $ ˜q1,2(x,t)=±(p2+ν+2γ)ei(px+νt)sec((p2+ν+2γ)k(kx+ωt)),(p2+ν+2γ)k(kx+ωt)∣<π2 $ (3.26)

    and

    $ ˜q3,4(x,t)=±p2ν2γei(px+νt)csc((p2+ν+2γ)k(kx+ωt)),0<(p2+ν+2γ)k(kx+ωt)<π. $ (3.27)

    However, for $ p^{2}+\nu+2\gamma > 0 $ and $ k \neq0 $. we obtain the soliton and complex solutions

    $ ˜u5,6(x,t)=±p2ν2γsech((p2+ν+2γ)k(kx+ωt)) $ (3.28)

    and

    $ ˜u7,8(x,t)=±p2+ν+2γcsch((p2+ν+2γ)k(kx+ωt)). $ (3.29)

    Using Eqs (3.1) and (3.19) the solutions of equation

    $ ˜q5,6(x,t)=±p2ν2γei(px+νt)sech((p2+ν+2γ)k(kx+ωt)) $ (3.30)

    and

    $ ˜q7,8(x,t)=±p2+ν+2γei(px+νt)csch((p2+ν+2γ)k(kx+ωt)). $ (3.31)

    Figure 6(a) shows the real part of $ q = \tilde{q}_1(x, t) $ in (3.26), while Figure 6(b) shows imaginary part of this solution for $ p $ = 2, $ \nu $ = -2, $ \gamma $ = -3, $ k $ = 2 and $ \omega $ = 1.

    Figure 6.  Shape of $ \tilde{q}_1 $ in (3.26), (a) real part and (b) imaginary part.

    Figure 7(a) shows the real part of $ q = \tilde{q}_5(x, t) $ in (3.30), while Figure 7(b) shows imaginary part of this solution for $ p $ = 2.6, $ \nu $ = 2.1, $ \gamma $ = 3.1, $ k $ = 1.2 and $ \omega $ = 2.

    Figure 7.  Shape of $ \tilde{q}_5 $ in (3.27), (a) real part and (b) imaginary part.

    According to Riccati-Bernoulli Sub-ODE technique, substituting Eq (2.16) into Eq (3.2), we get

    $ k2(ab(3n)u2n+a2(2n)u32n+nc2u2n1+bc(n+1)un+(2ac+b2)u)2u3(p2+ν+2γ)u=0. $ (3.32)

    Putting $ n = 0 $, Eq (3.32) becomes

    $ k2(3abu2+2a2u3+bc+(2ac+b2)u)2u3(p2+ν+2γ)u=0. $ (3.33)

    Putting each coefficient of $ u^i (i = 0, 1, 2, 3) $ to zero, we get

    $ bc=0, $ (3.34)
    $ k2(2ac+b2)(p2+ν+2γ)=0, $ (3.35)
    $ 3ab=0, $ (3.36)
    $ k2a21=0. $ (3.37)

    Solving Eqs (3.34)–(3.37), we have

    $ b=0, $ (3.38)
    $ ac=p2+ν+2γ2k2, $ (3.39)
    $ c=±p2+ν+2γ2k, $ (3.40)
    $ a=±1k. $ (3.41)

    Hence, we give the cases of solutions for Eq (3.2) as follows

    Rational function solutions: (When $ b = 0 $ and $ c = 0 $, i.e., $ p^{2}+\nu+2\gamma = 0 $)

    The solution of Eq (3.2) is

    $ ˆu1(x,t)=(a(kx+ωt+μ))1. $ (3.42)

    Therefore, using Eqs (3.1) and (3.42), the following new explicit exact solution of the unstable nonlinear Schrödinger equation can be acquired

    $ ˆq1(x,t)=ei(px+νt)(a(kx+ωt+μ))1, $ (3.43)

    where $ p, \nu, \gamma, k, \omega, \mu $ are arbitrary constants.

    Trigonometric function solution: (When $ p^{2}+\nu+2\gamma > 0 $)

    Superseding Eq (3.1) and Eqs (3.38)–(3.41) into Eqs (2.21) and (2.22), then the exact solutions of Eq (1.1) are

    $ ˆu2,3(x,t)=±p2+ν+2γ2tan(p2+ν+2γ2k(kx+ωt+μ)) $ (3.44)

    and

    $ ˆu4,5(x,t)=±p2+ν+2γ2cot(p2+ν+2γ2k(kx+ωt+μ)). $ (3.45)

    Consequently, using Eqs (3.1) and (3.42), the following new explicit exact solution for the unstable nonlinear Schrödinger equation can be obtained

    $ ˆq2,3(x,t)=±ei(px+νt)p2+ν+2γ2tan(p2+ν+2γ2k(kx+ωt+μ)) $ (3.46)

    and

    $ ˆq4,5(x,t)=±ei(px+νt)p2+ν+2γ2cot(p2+ν+2γ2k(kx+ωt+μ)), $ (3.47)

    where $ p, \nu, \gamma, k, \omega, \mu $ are arbitrary constants.

    Hyperbolic function solution : (When $ p^{2}+\nu+2\gamma < 0 $)

    Substituting Eq (3.1) and Eqs (3.38)–(3.41) into Eqs (2.23) and (2.24), then the exact solutions of Eq (1.1) are

    $ ˆu6,7(x,t)=±(p2+ν+2γ)2tanh((p2+ν+2γ)2k(kx+ωt+μ)) $ (3.48)

    and

    $ ˆu8,9(x,t)=±(p2+ν+2γ)2coth((p2+ν+2γ)2k(kx+ωt+μ)). $ (3.49)

    Subsequently, the following new explicit exact solution to the unstable nonlinear Schrödinger equation can be gained

    $ ˆq6,7(x,t)=±ei(px+νt)(p2+ν+2γ)2tanh((p2+ν+2γ)2k(kx+ωt+μ)) $ (3.50)

    and

    $ ˆq8,9(x,t)=±ei(px+νt)(p2+ν+2γ)2coth((p2+ν+2γ)2k(kx+ωt+μ)), $ (3.51)

    where $ p, \nu, \gamma, k, \omega, \mu $ are arbitrary constants.

    We have plotted these solutions in Figures 810. Figure 8(a) shows the real part of $ q = \hat{q}_2(x, t) $ in (3.46), while Figure 8(b) shows imaginary part of this solution for $ k $ = 0.5, $ p $ = -1.3, $ \omega $ = 1.3, $ \nu $ = 1.4, $ \gamma $ = 1.5 and $ \mu $ = 1.

    Figure 8.  Shape of $ \hat{q}_{2} $ in (3.46), (a) real part and (b) imaginary part.
    Figure 9.  Shape of $ \hat{q}_{6} $ in (3.50), (a) real part and (b) imaginary part.
    Figure 10.  Shape of $ \hat{q}_{1} $ in (3.43), (a) real part and (b) imaginary part.

    Figure 9(a) shows the real part of $ q = \hat{q}_6(x, t) $ in (3.50), while Figure 9(b) shows imaginary part of this solution for $ k $ = 1.5, $ p $ = 1.3, $ \omega $ = -3.9, $ \nu $ = -2.4, $ \gamma $ = -1.3 and $ \mu $ = 1.

    Figure 10(a) shows the real part of $ q = \hat{q}_1(x, t) $ in (3.43), while Figure 10(b) shows imaginary part of this solution for $ k $ = 0.2, $ a $ = 5, $ p $ = 1.2, $ \omega $ = -0.48, $ \nu $ = 1.4 and $ \mu $ = 1.

    Remark 1. Using Eq (2.27) for $ u_i(x, y) $, $ i $ = 1, ..., 9, once, then Eq (3.2) as well as for Eq (1.1) has an infinite solutions. In sequence, by applying this process again, we get new families of solutions.

    $ ˆu1(x,t)=B3aB3(kx+ωt+μ)±1, $ (3.52)
    $ ˆu2,3(x,t)=p2+ν+2γ2±B3p2+ν+2γ2tan(p2+ν+2γ2k(kx+ωt+μ))B3±p2+ν+2γ2tan(p2+ν+2γ2k(kx+ωt+μ)), $ (3.53)
    $ ˆu4,5(x,t)=p2+ν+2γ2±B3p2+ν+2γ2cot(p2+ν+2γ2k(kx+ωt+μ))B3±p2+ν+2γ2cot(p2+ν+2γ2k(kx+ωt+μ)), $ (3.54)
    $ ˆu6,7(x,t)=p2+ν+2γ2±B3(p2+ν+2γ)2tanh((p2+ν+2γ)2k(kx+ωt+μ))B3±(p2+ν+2γ)2tanh((p2+ν+2γ)2k(kx+ωt+μ)), $ (3.55)
    $ ˆu8,9(x,t)=p2+ν+2γ2±B3(p2+ν+2γ)2coth((p2+ν+2γ)2k(kx+ωt+μ))B3±(p2+ν+2γ)2coth((p2+ν+2γ)2k(kx+ωt+μ)), $ (3.56)

    where $ B_{3}, p, \nu, \gamma, k, \omega $ and $ \mu $ are arbitrary constants.

    In this article, the exp$ (-\varphi(\xi)) $-expansion, the sine-cosine and Riccati-Bernoulli sub-ODE techniques have been efficiently applied to construct many new solutions. As an outcome, a number of new exact solutions for the UNS equation were formally derived. Namely, the exp$ (-\varphi(\xi)) $-expansion method gives a first family of ten solutions. Whereas, sine-cosine method give another different second family of eight solutions. Indeed, Riccati-Bernoulli sub-ODE method gives a wide range of new explicit exact solutions including rational functions, trigonometric functions, hyperbolic functions and exponential functions in a straightforward manner. The effectiveness and helpfulness of the exp$ (-\varphi(\xi)) $-expansion, the sine-cosine and Riccati-Bernoulli sub-ODE methods to deal with UNS equation was proved. As a success, a wide range of new explicit exact solutions were obtained in a straightforward manner. Our study shows that the proposed three methods are reliable in handling NPDEs to establish a variety of exact solutions. Finally, we have plotted some 3D graphs of these solutions and we have shown that these graphs can be controlled by adjusting the parameters.

    Remark 2.

    1. Comparing our results concerning the UNS equation with the results in [41,42,44,45], one can see that our results are new and most extensive. Indeed, choosing suitable values for the parameters similar solutions can be verified.

    2. The Riccati-Bernoulli sub-ODE method has an interesting feature, that admits infinite solutions, which has never given for any other method.

    3. The three proposed methods in this article are efficient, powerful and adequate for solving other types of NPDEs and can be easily extended to solve nonlinear fractional differential equations, see [32,33,49,50,51,52,53,54,55,56].

    The exp$ (-\varphi(\xi)) $-expansion, sine-cosine and Riccati-Bernoulli sub-ODE techniques have successfully been applied for the UNS equation. Many new exact solutions are obtained during the analytical treatment. The availability of computer systems like Matlab or Mathematica facilitates avoids us the tedious algebraic calculations. Indeed, the obtained solutions are of significant importance in the studies of applied science as they help in explaining some interesting physical mechanism for the complex phenomena. The 3D graphs of some exact solutions are plotted for suitable parameters. Finally, the proposed methods can be applied for a wide range of nonlinear partial differential equations arising in natural sciences. Currently, work is in progress on the applications of the proposed methods in this paper in order to solve the other nonlinear partial differential equations. Indeed these methods can be extended to solve fractional partial differential equations.

    The authors thank the editor and anonymous reviewers for their valuable comments and suggestions.

    The authors declare no conflict of interest.

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