
The construction of efficient numerical schemes with uniform convergence order for time-fractional diffusion equations (TFDEs) is an important research problem. We are committed to study an efficient uniform accuracy scheme for TFDEs. Firstly, we use the piecewise quadratic interpolation to construct an efficient uniform accuracy scheme for the fractional derivative of time. And the local truncation error of the efficient scheme is also given. Secondly, the full discrete numerical scheme for TFDEs is given by combing the spatial center second order scheme and the above efficient time scheme. Thirdly, the efficient scheme's stability and error estimates are strictly theoretical analysis to obtain that the unconditionally stable scheme is 3−β convergence order with uniform accuracy in time. Finally, some numerical examples are applied to show that the proposed scheme is an efficient unconditionally stable scheme.
Citation: Junying Cao, Qing Tan, Zhongqing Wang, Ziqiang Wang. An efficient high order numerical scheme for the time-fractional diffusion equation with uniform accuracy[J]. AIMS Mathematics, 2023, 8(7): 16031-16061. doi: 10.3934/math.2023818
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The construction of efficient numerical schemes with uniform convergence order for time-fractional diffusion equations (TFDEs) is an important research problem. We are committed to study an efficient uniform accuracy scheme for TFDEs. Firstly, we use the piecewise quadratic interpolation to construct an efficient uniform accuracy scheme for the fractional derivative of time. And the local truncation error of the efficient scheme is also given. Secondly, the full discrete numerical scheme for TFDEs is given by combing the spatial center second order scheme and the above efficient time scheme. Thirdly, the efficient scheme's stability and error estimates are strictly theoretical analysis to obtain that the unconditionally stable scheme is 3−β convergence order with uniform accuracy in time. Finally, some numerical examples are applied to show that the proposed scheme is an efficient unconditionally stable scheme.
This paper is devoted to study the expressions forms of the solutions and periodic nature of the following third-order rational systems of difference equations
xn+1=yn−1znzn±xn−2,yn+1=zn−1xnxn±yn−2, zn+1=xn−1ynyn±zn−2, |
with initial conditions are non-zero real numbers.
In the recent years, there has been great concern in studying the systems of difference equations. One of the most important reasons for this is a exigency for some mechanization which can be used in discussing equations emerge in mathematical models characterizing real life situations in economic, genetics, probability theory, psychology, population biology and so on.
Difference equations display naturally as discrete peer and as numerical solutions of differential equations having more applications in ecology, biology, physics, economy, and so forth. For all that the difference equations are quite simple in expressions, it is frequently difficult to realize completely the dynamics of their solutions see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19] and the related references therein.
There are some papers dealed with the difference equations systems, for example, The periodic nature of the solutions of the nonlinear difference equations system
An+1=1Cn,Bn+1=BnAn−1Bn−1,Cn+1=1An−1, |
has been studied by Cinar in [7].
Almatrafi [3] determined the analytical solutions of the following systems of rational recursive equations
xn+1=xn−1yn−3yn−1(±1±xn−1yn−3),yn+1=yn−1xn−3xn−1(±1±yn−1xn−3). |
In [20], Khaliq and Shoaib studied the local and global asymptotic behavior of non-negative equilibrium points of a three-dimensional system of two order rational difference equations
xn+1=xn−1ε+xn−1yn−1zn−1,yn+1=yn−1ζ+xn−1yn−1zn−1, zn+1=zn−1η+xn−1yn−1zn−1. |
In [9], Elabbasy et al. obtained the form of the solutions of some cases of the following system of difference equations
xn+1=a1+a2yna3zn+a4xn−1zn, yn+1=b1zn−1+b2znb3xnyn+b4xnyn−1,zn+1=c1zn−1+c2znc3xn−1yn−1+c4xn−1yn+c5xnyn. |
In [12], Elsayed et al. have got the solutions of the systems of rational higher order difference equations
An+1=1An−pBn−p,Bn+1=An−pBn−pAn−qBn−q, |
and
An+1=1An−pBn−pCn−p,Bn+1=An−pBn−pCn−pAn−qBn−qCn−q,Cn+1=An−qBn−qCn−qAn−rBn−rCn−r. |
Kurbanli [25,26] investigated the behavior of the solutions of the following systems
An+1=An−1An−1Bn−1,Bn+1=Bn−1Bn−1An−1, Cn+1=1CnBn,An+1=An−1An−1Bn−1,Bn+1=Bn−1Bn−1An−1, Cn+1=Cn−1Cn−1Bn−1. |
In [32], Yalçınkaya has obtained the conditions for the global asymptotically stable of the system
An+1=BnAn−1+aBn+An−1,Bn+1=AnBn−1+aAn+Bn−1. |
Zhang et al. [39] investigated the persistence, boundedness and the global asymptotically stable of the solutions of the following system
Rn=A+1Qn−p, Qn=A+Qn−1Rn−rQn−s. |
Similar to difference equations and systems were studied see [21,22,23,24,27,28,29,30,31,32,33,34,35,36,37,38].
In this section, we obtain the expressions form of the solutions of the following three dimension system of difference equations
xn+1=yn−1znzn+xn−2,yn+1=zn−1xnxn+yn−2, zn+1=xn−1ynyn+zn−2, | (1) |
where n∈N0 and the initial conditions are non-zero real numbers.
Theorem 1. We assume that {xn,yn,zn} are solutions of system (1).Then
x6n−2=ak3nn−1∏i=0(a+(6i)k)(a+(6i+2)k)(a+(6i+4)k),x6n−1=bf3nn−1∏i=0(g+(6i+1)f)(g+(6i+3)f)(g+(6i+5)f),x6n=c3n+1n−1∏i=0(d+(6i+2)c)(d+(6i+4)c)(d+(6i+6)c),x6n+1=ek3n+1(a+k)n−1∏i=0(a+(6i+3)k)(a+(6i+5)k)(a+(6i+7)k), |
x6n+2=f3n+2(g+2f)n−1∏i=0(g+(6i+4)f)(g+(6i+6)f)(g+(6i+8)f),x6n+3=hc3n+2(d+c)(d+3c)n−1∏i=0(d+(6i+5)c)(d+(6i+7)c)(d+(6i+9)c), |
y6n−2=dc3nn−1∏i=0(d+(6i)c)(d+(6i+2)c)(d+(6i+4)c),y6n−1=ek3nn−1∏i=0(a+(6i+1)k)(a+(6i+3)k)(a+(6i+5)k),y6n=f3n+1n−1∏i=0(g+(6i+2)f)(g+(6i+4)f)(g+(6i+6)f),y6n+1=hc3n+1(d+c)n−1∏i=0(d+(6i+3)c)(d+(6i+5)c)(d+(6i+7)c),y6n+2=k3n+2(a+2k)n−1∏i=0(a+(6i+4)k)(a+(6i+6)k)(a+(6i+8)k),y6n+3=bf3n+2(g+f)(g+3f)n−1∏i=0(g+(6i+5)f)(g+(6i+7)f)(g+(6i+9)f), |
and
z6n−2=gf3nn−1∏i=0(g+(6i)f)(g+(6i+2)f)(g+(6i+4)f),z6n−1=hc3nn−1∏i=0(d+(6i+1)c)(d+(6i+3)c)(d+(6i+5)c),z6n=k3n+1n−1∏i=0(a+(6i+2)k)(a+(6i+4)k)(a+(6i+6)k),z6n+1=bf3n+1(g+f)n−1∏i=0(g+(6i+3)f)(g+(6i+5)f)(g+(6i+7)f), |
z6n+2=c3n+2(d+2c)n−1∏i=0(d+(6i+4)c)(d+(6i+6)c)(d+(6i+8)c),z6n+3=ek3n+2(a+k)(a+3k)n−1∏i=0(a+(6i+5)k)(a+(6i+7)k)(a+(6i+9)k), |
where x−2=a, x−1=b, x0=c, y−2=d, y−1=e, y0=f, z−2=g, z−1=h and z0=k.
Proof. For n=0 the result holds. Now assume that n>1 and that our assumption holds for n−1, that is,
x6n−8=ak3n−3n−2∏i=0(a+(6i)k)(a+(6i+2)k)(a+(6i+4)k),x6n−7=bf3n−3n−2∏i=0(g+(6i+1)f)(g+(6i+3)f)(g+(6i+5)f),x6n−6=c3n−2n−2∏i=0(d+(6i+2)c)(d+(6i+4)c)(d+(6i+6)c),x6n−5=ek3n−2(a+k)n−2∏i=0(a+(6i+3)k)(a+(6i+5)k)(a+(6i+7)k),x6n−4=f3n−1(g+2f)n−2∏i=0(g+(6i+4)f)(g+(6i+6)f)(g+(6i+8)f),x6n−3=hc3n−1(d+c)(d+3c)n−2∏i=0(d+(6i+5)c)(d+(6i+7)c)(d+(6i+9)c), |
y6n−8=dc3n−3n−2∏i=0(d+(6i)c)(d+(6i+2)c)(d+(6i+4)c),y6n−7=ek3n−3n−2∏i=0(a+(6i+1)k)(a+(6i+3)k)(a+(6i+5)k),y6n−6=f3n−2n−2∏i=0(g+(6i+2)f)(g+(6i+4)f)(g+(6i+6)f), |
y6n−5=hc3n−2(d+c)n−2∏i=0(d+(6i+3)c)(d+(6i+5)c)(d+(6i+7)c),y6n−4=k3n−1(a+2k)n−2∏i=0(a+(6i+4)k)(a+(6i+6)k)(a+(6i+8)k),y6n−3=bf3n−1(g+f)(g+3f)n−2∏i=0(g+(6i+5)f)(g+(6i+7)f)(g+(6i+9)f), |
and
z6n−8=gf3n−3n−2∏i=0(g+(6i)f)(g+(6i+2)f)(g+(6i+4)f),z6n−7=hc3n−3n−2∏i=0(d+(6i+1)c)(d+(6i+3)c)(d+(6i+5)c),z6n−6=k3n−2n−2∏i=0(a+(6i+2)k)(a+(6i+4)k)(a+(6i+6)k),z6n−5=bf3n−2(g+f)n−2∏i=0(g+(6i+3)f)(g+(6i+5)f)(g+(6i+7)f),z6n−4=c3n−1(d+2c)n−2∏i=0(d+(6i+4)c)(d+(6i+6)c)(d+(6i+8)c),z6n−3=ek3n−1(a+k)(a+3k)n−2∏i=0(a+(6i+5)k)(a+(6i+7)k)(a+(6i+9)k). |
It follows from Eq (1) that
x6n−2=y6n−4z6n−3z6n−3+x6n−5=(k3n−1(a+2k)n−2∏i=0(a+(6i+4)k)(a+(6i+6)k)(a+(6i+8)k) )(ek3n−1(a+k)(a+3k)n−2∏i=0(a+(6i+5)k)(a+(6i+7)k)(a+(6i+9)k) )(ek3n−1(a+k)(a+3k)n−2∏i=0(a+(6i+5)k)(a+(6i+7)k)(a+(6i+9)k) )+(ek3n−2(a+k)n−2∏i=0(a+(6i+3)k)(a+(6i+5)k)(a+(6i+7)k) )=(k3n(a+2k)n−2∏i=0(a+(6i+4)k)(a+(6i+6)k)(a+(6i+8)k))(a+3k)n−2∏i=0(a+(6i+9)k)[(k(a+3k)n−2∏i=0(a+(6i+9)k))+(1n−2∏i=0(a+(6i+3)k))]=(k3n(a+2k)n−2∏i=0(a+(6i+4)k)(a+(6i+6)k)(a+(6i+8)k))[k+((a+3k)n−2∏i=0(a+(6i+9)k)n−2∏i=0(a+(6i+3)k))]=(k3n(a+2k)n−2∏i=0(a+(6i+4)k)(a+(6i+6)k)(a+(6i+8)k))[k+(a+(6n−3)k)]=ak3na(a+2k)(a+(6n−2)k)n−2∏i=0(a+(6i+4)k)(a+(6i+6)k)(a+(6i+8)k). |
Then we see that
x6n−2=k3nn−1∏i=0(a+(6i)k)(a+(6i+2)k)(a+(6i+4)k). |
Also, we see from Eq (1) that
y6n−2=z6n−4x6n−3x6n−3+y6n−5=(c3n−1(d+2c)n−2∏i=0(d+(6i+4)c)(d+(6i+6)c)(d+(6i+8)c) )(hc3n−1(d+c)(d+3c)n−2∏i=0(d+(6i+5)c)(d+(6i+7)c)(d+(6i+9)c) )(hc3n−1(d+c)(d+3c)n−2∏i=0(d+(6i+5)c)(d+(6i+7)c)(d+(6i+9)c) )+(hc3n−2(d+c)n−2∏i=0(d+(6i+3)c)(d+(6i+5)c)(d+(6i+7)c) )=(c3n(d+2c)n−2∏i=0(d+(6i+4)c)(d+(6i+6)c)(d+(6i+8)c))(d+3c)n−2∏i=0(d+(6i+9)c)[(c(d+3c)n−2∏i=0(d+(6i+9)c))+(1n−2∏i=0(d+(6i+3)c))]=(c3n(d+2c)n−2∏i=0(d+(6i+4)c)(d+(6i+6)c)(d+(6i+8)c))[c+d+(6n−3)c]=c3n[d+(6n−2)c](d+2c)n−2∏i=0(d+(6i+4)c)(d+(6i+6)c)(d+(6i+8)c). |
Then
y6n−2=dc3nn−1∏i=0(d+(6i)c)(d+(6i+2)c)(d+(6i+4)c). |
Finally from Eq (1), we see that
z6n−2=x6n−4y6n−3y6n−3+z6n−5=(f3n−1(g+2f)n−2∏i=0(g+(6i+4)f)(g+(6i+6)f)(g+(6i+8)f) )(bf3n−1(g+f)(g+3f)n−2∏i=0(g+(6i+5)f)(g+(6i+7)f)(g+(6i+9)f) )(bf3n−1(g+f)(g+3f)n−2∏i=0(g+(6i+5)f)(g+(6i+7)f)(g+(6i+9)f) )+(bf3n−2(g+f)n−2∏i=0(g+(6i+3)f)(g+(6i+5)f)(g+(6i+7)f) )=(f3n(g+2f)n−2∏i=0(g+(6i+4)f)(g+(6i+6)f)(g+(6i+8)f))(g+3f)n−2∏i=0(g+(6i+9)f)[(f(g+3f)n−2∏i=0(g+(6i+9)f))+(1n−2∏i=0(g+(6i+3)f))]=(f3n(g+2f)n−2∏i=0(g+(6i+4)f)(g+(6i+6)f)(g+(6i+8)f))[f+((g+3f)n−2∏i=0(g+(6i+9)f)n−2∏i=0(g+(6i+3)f))]=(f3n(g+2f)n−2∏i=0(g+(6i+4)f)(g+(6i+6)f)(g+(6i+8)f))[f+(g+(6n−3)f)]=f3n(g+(6n−2)f)(g+2f)n−2∏i=0(g+(6i+4)f)(g+(6i+6)f)(g+(6i+8)f). |
Thus
z3n−2=gf3nn−1∏i=0(g+(6i)f)(g+(6i+2)f)(g+(6i+4)f). |
By similar way, one can show the other relations. This completes the proof.
Lemma 1. Let {xn,yn,zn} be a positive solution of system (1), then all solution of (1) is bounded and approaching to zero.
Proof. It follows from Eq (1) that
xn+1=yn−1znzn+xn−2≤yn−1, yn+1=zn−1xnxn+yn−2≤zn−1,zn+1=xn−1ynyn+zn−2≤xn−1, |
we see that
xn+4≤yn+2, yn+2≤zn, zn≤xn−2, ⇒ xn+4<xn−2,yn+4≤zn+2, zn+2≤xn, xn≤yn−2, ⇒ yn+4<yn−2,zn+4≤xn+2, xn+2≤yn, yn≤zn−2, ⇒ zn+4<zn−2, |
Then all subsequences of {xn,yn,zn} (i.e., for {xn} are {x6n−2}, {x6n−1}, {x6n}, {x6n+1}, {x6n+2}, {x6n+3} are decreasing and at that time are bounded from above by K,L and M since K=max{x−2,x−1,x0,x1,x2,x3}, L=max{y−2,y−1,y0,y1,y2,y3} and M=max{z−2,z−1,z0,z1,z2,z3}.
Example 1. We assume an interesting numerical example for the system (1) with x−2=−.22,x−1=−.4, x0=.12,y−2=−.62, y−1=4, y0=.3,z−2=.4,z−1=.53 andz0=−2. (See Figure 1).
In this section, we get the solution's form of the following system of difference equations
xn+1=yn−1znzn+xn−2,yn+1=zn−1xnxn+yn−2, zn+1=xn−1ynyn−zn−2, | (2) |
where n∈N0 and the initial values are non-zero real numbers with x−2≠±z0,≠−2z0, z−2≠y0,≠2y0,≠3y0 and y−2≠2x0,≠±x0.
Theorem 2. Assume that {xn,yn,zn} are solutions of (2). Then for n=0,1,2,...,
x6n−2=(−1)nk3na2n−1(a+2k)n, x6n−1=(−1)nbf3n(f−g)2n(3f−g)n, x6n=(−1)nc3n+1d2n(2c−d)n,x6n+1=ek3n+1(a−k)n(a+k)2n+1, x6n+2=(−1)nf3n+2gn(2f−g)2n+1, x6n+3=(−1)nhc3n+2(c−d)2n+1(c+d)n+1, |
y6n−2=(−1)nc3nd2n−1(2c−d)n, y6n−1=ek3n(a−k)n(a+k)2n, y6n=(−1)nf3n+1gn(2f−g)2n,y6n+1=(−1)nhc3n+1(c−d)2n(c+d)n+1, y6n+2=(−1)nk3n+2a2n(a+2k)n+1, y6n+3=(−1)nbf3n+2(f−g)2n+1(3f−g)n+1, |
and
z6n−2=(−1)nf3ngn−1(2f−g)2n, z6n−1=(−1)nhc3n(c−d)2n(c+d)n, z6n=(−1)nk3n+1a2n(a+2k)n,z6n+1=(−1)nbf3n+1(f−g)2n+1(3f−g)n, z6n+2=(−1)n+1c3n+2d2n+1(2c−d)n, z6n+3=−ek3n+2(a−k)n(a+k)2n+2, |
where x−2=a, x−1=b, x0=c, y−2=d, y−1=e, y0=f, z−2=g, z−1=h and z0=k.
Proof. The result is true for n=0. Now suppose that n>0 and that our claim verified for n−1. That is,
x6n−8=(−1)n−1k3n−3a2n−3(a+2k)n−1, x6n−7=(−1)n−1bf3n−3(f−g)2n−2(3f−g)n−1, x6n−6=(−1)n−1c3n−2d2n−2(2c−d)n−1,x6n−5=ek3n−2(a−k)n−1(a+k)2n−1, x6n−4=(−1)n−1f3n−1gn−1(2f−g)2n−1, x6n−3=(−1)n−1hc3n−1(c−d)2n−1(c+d)n, |
y6n−8=(−1)n−1c3n−3d2n−3(2c−d)n−1, y6n−7=ek3n−3(a−k)n−1(a+k)2n−2, y6n−6=(−1)n−1f3n−2gn−1(2f−g)2n−2,y6n−5=(−1)n−1hc3n−2(c−d)2n−2(c+d)n, y6n−4=(−1)n−1k3n−1a2n−2(a+2k)n, y6n−3=(−1)n−1bf3n−1(f−g)2n−1(3f−g)n, |
and
z6n−8=(−1)n−1f3n−3gn−2(2f−g)2n−2, z6n−7=(−1)n−1hc3n−3(c−d)2n−2(c+d)n−1, z6n−6=(−1)n−1k3n−2a2n−2(a+2k)n−1,z6n−5=(−1)n−1bf3n−2(f−g)2n−1(3f−g)n−1, z6n−4=(−1)nc3n−1d2n−1(2c−d)n−1, z6n−3=−ek3n−1(a−k)n−1(a+k)2n. |
Now from Eq (2), it follows that
x6n−2=y6n−4z6n−3z6n−3+x6n−5=((−1)n−1k3n−1a2n−2(a+2k)n)(−ek3n−1(a−k)n−1(a+k)2n)(−ek3n−1(a−k)n−1(a+k)2n)+(ek3n−2(a−k)n−1(a+k)2n−1)=((−1)nk3na2n−2(a+2k)n)(−k+a+k)=(−1)nk3na2n−1(a+2k)n,y6n−2=z6n−4x6n−3x6n−3+y6n−5=((−1)nc3n−1d2n−1(2c−d)n−1)((−1)n−1hc3n−1(c−d)2n−1(c+d)n)((−1)n−1hc3n−1(c−d)2n−1(c+d)n)+((−1)n−1hc3n−2(c−d)2n−2(c+d)n)=((−1)nc3nd2n−1(2c−d)n−1)c+c−d=(−1)nc3nd2n−1(2c−d)n,z6n−2=x6n−4y6n−3y6n−3−z6n−5=((−1)n−1f3n−1gn−1(2f−g)2n−1)((−1)n−1bf3n−1(f−g)2n−1(3f−g)n)((−1)n−1bf3n−1(f−g)2n−1(3f−g)n)−((−1)n−1bf3n−2(f−g)2n−1(3f−g)n−1)=((−1)n−1f3ngn−1(2f−g)2n−1)(f−3f+g)=(−1)nf3ngn−1(2f−g)2n. |
Also, we see from Eq (2) that
x6n−1=y6n−3z6n−2z6n−2+x6n−4=((−1)n−1bf3n−1(f−g)2n−1(3f−g)n)((−1)nf3ngn−1(2f−g)2n)((−1)nf3ngn−1(2f−g)2n)+((−1)n−1f3n−1gn−1(2f−g)2n−1)=((−1)nbf3n(f−g)2n−1(3f−g)n)(−f+2f−g)=(−1)nbf3n(f−g)2n(3f−g)n,y6n−1=z6n−3x6n−2x6n−2+y6n−4=(−ek3n−1(a−k)n−1(a+k)2n)((−1)nk3na2n−1(a+2k)n)((−1)nk3na2n−1(a+2k)n)+((−1)n−1k3n−1a2n−2(a+2k)n)=(ek3n(a−k)n−1(a+k)2n)−k+a=ek3n(a−k)n(a+k)2n,z6n−1=x6n−3y6n−2y6n−2−z6n−4=((−1)n−1hc3n−1(c−d)2n−1(c+d)n)((−1)nc3nd2n−1(2c−d)n)((−1)nc3nd2n−1(2c−d)n)−((−1)nc3n−1d2n−1(2c−d)n−1)=((−1)n−1hc3n(c−d)2n−1(c+d)n)c−(2c−d)=(−1)nhc3n(c−d)2n(c+d)n. |
Also, we can prove the other relations.
Example 2. See below Figure 2 for system (2) with the initial conditions x−2=11,x−1=5, x0=13,y−2=6, y−1=7, y0=3,z−2=14, z−1=9 andz0=2.
Here, we obtain the form of solutions of the system
xn+1=yn−1znzn+xn−2,yn+1=zn−1xnxn−yn−2, zn+1=xn−1ynyn+zn−2, | (3) |
where n∈N0 and the initial values are non-zero real numbers with x−2≠±z0,≠2z0, z−2≠±y0,≠−2y0 and y−2≠x0,≠2x0,≠3x0.
Theorem 3. If {xn,yn,zn} are solutions of system (3) where x−2=a, x−1=b, x0=c, y−2=d, y−1=e, y0=f, z−2=g, z−1=h and z0=k. Then for n=0,1,2,...,
x6n−2=k3na2n−1(a−2k)n, x6n−1=(−1)nbf3n(f−g)n(f+g)2n, x6n=(−1)nc3n+1dn(d−2c)2n,x6n+1=(−1)nek3n+1(a−k)2n(a+k)n+1, x6n+2=(−1)nf3n+2g2n(2f+g)n+1, x6n+3=(−1)nhc3n+2(c−d)2n+1(3c−d)n+1, |
y6n−2=(−1)nc3ndn−1(d−2c)2n, y6n−1=(−1)nek3n(a−k)2n(a+k)n, y6n=(−1)nf3n+1g2n(2f+g)n,y6n+1=(−1)nhc3n+1(c−d)2n+1(3c−d)n, y6n+2=−k3n+2a2n+1(a−2k)n, y6n+3=(−1)nbf3n+2(f−g)n(f+g)2n+2, |
and
z6n−2=(−1)nf3ng2n−1(2f+g)n, z6n−1=(−1)nhc3n(c−d)2n(3c−d)n, z6n=k3n+1a2n(a−2k)n,z6n+1=(−1)nbf3n+1(f−g)n(f+g)2n+1, z6n+2=(−1)nc3n+2dn(2c−d)2n+1, z6n+3=(−1)n+1ek3n+2(a−k)2n+1(a+k)n+1. |
Proof. As the proof of Theorem 2 and so will be left to the reader.
Example 3. We put the initials x−2=8,x−1=15, x0=13,y−2=6,y−1=7, y0=3,z−2=14,z−1=19 andz0=2, for the system (3), see Figure 3.
The following systems can be treated similarly.
In this section, we deal with the solutions of the following system
xn+1=yn−1znzn−xn−2,yn+1=zn−1xnxn+yn−2, zn+1=xn−1ynyn+zn−2, | (4) |
where n∈N0 and the initial values are non-zero real with x−2≠z0,≠2z0,≠3z0, z−2≠±y0,≠2y0 and y−2≠±x0,≠−2x0.
Theorem 4. The solutions of system (4) are given by
x6n−2=(−1)nk3nan−1(a−2k)2n, x6n−1=(−1)nbf3n(f−g)2n(f+g)n, x6n=(−1)nc3n+1d2n(d+2c)n,x6n+1=−ek3n+1(a−k)2n+1(a−3k)n, x6n+2=(−1)n+1f3n+2g2n+1(2f−g)n, x6n+3=(−1)n+1hc3n+2(c−d)n(c+d)2n+2, |
y6n−2=(−1)nc3nd2n−1(d+2c)n, y6n−1=ek3n(a−k)2n(a−3k)n, y6n=(−1)nf3n+1g2n(2f−g)n,y6n+1=(−1)nhc3n+1(c+d)2n+1(c−d)n, y6n+2=−k3n+2an(a−2k)2n+1, y6n+3=(−1)nbf3n+2(f−g)2n+1(f+g)n+1, |
and
z6n−2=(−1)nf3ng2n−1(2f−g)n, z6n−1=(−1)nhc3n(c+d)2n(c−d)n, z6n=(−1)nk3n+1an(a−2k)2n,z6n+1=(−1)nbf3n+1(f−g)2n(f+g)n+1, z6n+2=(−1)nc3n+2d2n(2c+d)n+1, z6n+3=ek3n+2(a−k)2n+1(a−3k)n+1, |
where x−2=a, x−1=b, x0=c, y−2=d, y−1=e, y0=f, z−2=g, z−1=h and z0=k.
Example 4. Figure 4 shows the behavior of the solution of system (4) with x−2=18,x−1=−15, x0=3,y−2=6, y−1=.7, y0=−3, z−2=4,z−1=−9 andz0=5.
In this section, we obtain the solutions of the difference system
xn+1=yn−1znzn−xn−2,yn+1=zn−1xnxn−yn−2, zn+1=xn−1ynyn−zn−2, | (5) |
where the initials are arbitrary non-zero real numbers with x−2≠z0, z−2≠y0 and y−2≠x0.
Theorem 5. If {xn,yn,zn} are solutions of system (5) where x−2=a, x−1=b, x0=c, y−2=d, y−1=e, y0=f, z−2=g, z−1=h and z0=k. Then
x6n−2=k3na3n−1, x6n−1=bf3n(f−g)3n, x6n=c3n+1d3n,x6n+1=ek3n+1(k−a)3n+1, x6n+2=f3n+2g3n+1, x6n+3=hc3n+2(c−d)3n+2, |
y6n−2=c3nd3n−1, y6n−1=ek3n(k−a)3n, y6n=f3n+1g3n,y6n+1=hc3n+1(c−d)3n+1, y6n+2=k3n+2a3n+1, y6n+3=bf3n+2(f−g)3n+2, |
and
z6n−2=f3ng3n−1, z6n−1=hc3n(c−d)3n, z6n=k3n+1a3n,z6n+1=bf3n+1(f−g)3n+1, z6n+2=c3n+2d3n+1, z6n+3=ek3n+2(k−a)3n+2. |
Example 5. Figure 5 shows the dynamics of the solution of system (5) with x−2=18,x−1=−15,x0=3,y−2=6,y−1=.7, y0=−3,z−2=4,z−1=−9 andz0=5.
This paper discussed the expression's form and boundedness of some systems of rational third order difference equations. In Section 2, we studied the qualitative behavior of system xn+1=yn−1znzn+xn−2,yn+1=zn−1xnxn+yn−2, zn+1=xn−1ynyn+zn−2, first we have got the form of the solutions of this system, studied the boundedness and gave numerical example and drew it by using Matlab. In Section 3, we have got the solution's of the system xn+1=yn−1znzn+xn−2,yn+1=zn−1xnxn+yn−2, zn+1=xn−1ynyn−zn−2, and take a numerical example. In Sections 4–6, we obtained the solution of the following systems respectively, xn+1=yn−1znzn+xn−2,yn+1=zn−1xnxn−yn−2, zn+1=xn−1ynyn+zn−2, xn+1=yn−1znzn−xn−2,yn+1=zn−1xnxn+yn−2, zn+1=xn−1ynyn+zn−2, and xn+1=yn−1znzn−xn−2,yn+1=zn−1xnxn−yn−2, zn+1=xn−1ynyn−zn−2. Also, in each case we take a numerical example to illustrates the results.
This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant no. (G: 233–130–1441). The authors, therefore, acknowledge with thanks DSR for technical and financial support.
All authors declare no conflicts of interest in this paper.
[1] |
Y. Wang, L. Ren, A high-order L2-compact difference method for Caputo-type time-fractional sub-diffusion equations with variable coefficients, Appl. Math. Comput., 342 (2019), 71–93. https://doi.org/10.1016/j.amc.2018.09.007 doi: 10.1016/j.amc.2018.09.007
![]() |
[2] |
H. Zhang, J. Jia, X. Jiang, An optimal error estimate for the two-dimensional nonlinear time fractional advection-diffusion equation with smooth and non-smooth solutions, Comput. Math. Appl., 79 (2020), 2819–2831. https://doi.org/10.1016/j.camwa.2019.12.013 doi: 10.1016/j.camwa.2019.12.013
![]() |
[3] |
Y. H. Youssri, A. G. Atta, Petrov-Galerkin Lucas polynomials procedure for the time-fractional diffusion equation, Contemp. Math., 4 (2023), 230–248. https://doi.org/10.37256/cm.4220232420 doi: 10.37256/cm.4220232420
![]() |
[4] |
T. Eftekhari, S. Hosseini, A new and efficient approach for solving linear and nonlinear time-fractional diffusion equations of distributed order, Comput. Appl. Math., 41 (2022), 281. https://doi.org/10.1007/s40314-022-01981-5 doi: 10.1007/s40314-022-01981-5
![]() |
[5] |
Y. Wang, H. Chen, Pointwise error estimate of an alternating direction implicit difference scheme for two-dimensional time-fractional diffusion equation, Comput. Math. Appl., 99 (2021), 155–161. https://doi.org/10.1016/j.camwa.2021.08.012 doi: 10.1016/j.camwa.2021.08.012
![]() |
[6] |
Z. Liu, A. Cheng, X. Li, A novel finite difference discrete scheme for the time fractional diffusion-wave equation, Appl. Numer. Math., 134 (2018), 17–30. https://doi.org/10.1016/j.apnum.2018.07.001 doi: 10.1016/j.apnum.2018.07.001
![]() |
[7] |
A. A. Alikhanov, C. Huang, A high-order L2 type difference scheme for the time-fractional diffusion equation, Appl. Math. Comput., 411 (2021), 126545. https://doi.org/10.1016/j.amc.2021.126545 doi: 10.1016/j.amc.2021.126545
![]() |
[8] |
M. Cui, Convergence analysis of high-order compact alternating direction implicit schemes for the two-dimensional time fractional diffusion equation, Numer. Algor., 62 (2013), 383–409. https://doi.org/10.1007/s11075-012-9589-3 doi: 10.1007/s11075-012-9589-3
![]() |
[9] |
C. Lv, C. Xu, Error analysis of a high order method for time-fractional diffusion equations, SIAM J. Sci. Comput., 38 (2016), A2699–A2722. https://doi.org/10.1137/15M102664X doi: 10.1137/15M102664X
![]() |
[10] |
S. Kumar, D. Zeidan, An efficient Mittag-Leffler kernel approach for time-fractional advection-reaction-diffusion equation, Appl. Numer. Math., 170 (2021), 190–207. https://doi.org/10.1016/j.apnum.2021.07.025 doi: 10.1016/j.apnum.2021.07.025
![]() |
[11] |
J. Shen, C. Sheng, An efficient space-time method for time fractional diffusion equation, J. Sci. Comput., 81 (2019), 1088–1110. https://doi.org/10.1007/s10915-019-01052-8 doi: 10.1007/s10915-019-01052-8
![]() |
[12] |
M. A. Abdelkawy, A. M. Lopes, M. A. Zaky, Shifted fractional Jacobi spectral algorithm for solving distributed order time-fractional reaction-diffusion equations, Comput. Appl. Math., 38 (2019), 81. https://doi.org/10.1007/s40314-019-0845-1 doi: 10.1007/s40314-019-0845-1
![]() |
[13] |
M. A. Zaky, A Legendre spectral quadrature tau method for the multi-term time-fractional diffusion equations, Comput. Appl. Math., 37 (2018), 3525–3538. https://doi.org/10.1007/s40314-017-0530-1 doi: 10.1007/s40314-017-0530-1
![]() |
[14] |
J. Zhang, Z. Fang, H. Sun, Exponential-sum-approximation technique for variable-order time-fractional diffusion equations, J. Appl. Math. Comput., 68 (2022), 323–347. https://doi.org/10.1007/s12190-021-01528-7 doi: 10.1007/s12190-021-01528-7
![]() |
[15] |
P. Lyu, S. Vong, A fast linearized numerical method for nonlinear time-fractional diffusion equations, Numer. Algor., 87 (2021), 381–408. https://doi.org/10.1007/s11075-020-00971-0 doi: 10.1007/s11075-020-00971-0
![]() |
[16] | S. Jiang, J. Zhang, Q. Zhang, Z. Zhang, Fast evaluation of the caputo fractional derivative and its applications to fractional diffusion equations. Commun. Comput. Phys., 21 (2017), 650–678. https://doi.org/10.4208/cicp.OA-2016-0136 |
[17] |
P. Roul, V. Rohil, A high-order numerical scheme based on graded mesh and its analysis for the two-dimensional time-fractional convection-diffusion equation, Comput. Math. Appl., 126 (2022), 1–13. https://doi.org/10.1016/j.camwa.2022.09.006 doi: 10.1016/j.camwa.2022.09.006
![]() |
[18] |
S. Martin, O. Eugene, L. Jose, Error analysis of a finite difference method on graded meshes for a time-fractional diffusion equation, SIAM J. Numer. Anal., 55 (2017), 1057–1079. https://doi.org/10.1137/16M1082329 doi: 10.1137/16M1082329
![]() |
[19] |
N. Kedia, A. Alikhanov, V. Singh, Stable numerical schemes for time-fractional diffusion equation with generalized memory kernel, Appl. Numer. Math., 172 (2022), 546–565. https://doi.org/10.1016/j.apnum.2021.11.006 doi: 10.1016/j.apnum.2021.11.006
![]() |
[20] |
K. Mustapha, An L1 approximation for a fractional reaction-diffusion equation, a second-order error analysis over time-graded meshes, SIAM J. Numer. Anal., 58 (2020), 1319–1338. https://doi.org/10.1137/19M1260475 doi: 10.1137/19M1260475
![]() |
[21] |
N. Kopteva, Error analysis of an L2-type method on graded meshes for a fractional-order parabolic problem, Math. Comp., 90 (2021), 19–40. https://doi.org/10.1090/mcom/3552 doi: 10.1090/mcom/3552
![]() |
[22] |
A. G. Atta, Y. H. Youssri, Advanced shifted first-kind Chebyshev collocation approach for solving the nonlinear time-fractional partial integro-differential equation with a weakly singular kernel, Comp. Appl. Math., 41 (2022), 381. https://doi.org/10.1007/s40314-022-02096-7 doi: 10.1007/s40314-022-02096-7
![]() |
[23] |
J. Huang, D. Yang, L. O. Jay, Efficient methods for nonlinear time fractional diffusion-wave equations and their fast implementations, Numer. Algor., 85 (2020), 375–397. https://doi.org/10.1007/s11075-019-00817-4 doi: 10.1007/s11075-019-00817-4
![]() |
[24] |
J. Cao, C. Xu, A high order schema for the numercial solution of the fractional ordinary differential equations, J. Comput. Phys., 238 (2013), 154–168. https://doi.org/10.1016/j.jcp.2012.12.013 doi: 10.1016/j.jcp.2012.12.013
![]() |
[25] |
J. Cao, Z. Cai, Numerical analysis of a high-order scheme for nonlinear fractional differential equations with uniform accuracy, Numer. Math. Theor. Meth. Appl., 14 (2021), 71–112. https://doi.org/10.4208/nmtma.OA-2020-0039 doi: 10.4208/nmtma.OA-2020-0039
![]() |
[26] |
L. Feng, P. Zhuang, F. Liu, Y. T. Gu, Finite element method for space-time fractional diffusion equation, Numer. Algor., 72 (2016), 749–767. https://doi.org/10.1007/s11075-015-0065-8 doi: 10.1007/s11075-015-0065-8
![]() |
[27] |
H. Zhang, X. Jiang, F. Zeng, An H1 convergence of the spectral method for the time-fractional non-linear diffusion equations, Adv. Comput. Math., 47 (2021), 63. https://doi.org/10.1007/s10444-021-09892-5 doi: 10.1007/s10444-021-09892-5
![]() |
[28] |
A. S. V. R. Kanth, N. Garg, An unconditionally stable algorithm for multiterm time fractional advection-diffusion equation with variable coefficients and convergence analysis, Numer. Methods Partial Differ. Equ., 37 (2021), 1928–1945. https://doi.org/10.1002/num.22629 doi: 10.1002/num.22629
![]() |
[29] |
A. A. Alikhanov, A new difference scheme for the time fractional diffusion equation, J. Comput. Phys., 280 (2015), 424–438. https://doi.org/10.1016/j.jcp.2014.09.031 doi: 10.1016/j.jcp.2014.09.031
![]() |
[30] |
D. A. Murio, Implicit finite difference approximation for time fractional diffusion equations, Comput. Math. Appl., 56 (2008), 1138–1145. https://doi.org/10.1016/j.camwa.2008.02.015 doi: 10.1016/j.camwa.2008.02.015
![]() |
[31] |
R. Gorenflo, E. A. Abdel-Rehim, Convergence of the Grünwald-Letnikov scheme for time-fractional diffusion, J. Comput. Appl. Math., 205 (2007), 871–881. https://doi.org/10.1016/j.cam.2005.12.043 doi: 10.1016/j.cam.2005.12.043
![]() |
[32] | R. L. Burden, J. D. Faires, A. M. Burden, Numerical analysis, Cengage Learning, 2015. |
[33] |
Y. H. Youssri, A. G. Atta, Spectral collocation approach via normalized shifted Jacobi polynomials for the nonlinear Lane-Emden equation with fractal-fractional derivative, Fractal Fract., 7 (2023), 133. https://doi.org/10.3390/fractalfract7020133 doi: 10.3390/fractalfract7020133
![]() |
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2. | Ibraheem M. Alsulami, E. M. Elsayed, On a class of nonlinear rational systems of difference equations, 2023, 8, 2473-6988, 15466, 10.3934/math.2023789 | |
3. | E.M. Elsayed, B.S. Alofi, The periodic nature and expression on solutions of some rational systems of difference equations, 2023, 74, 11100168, 269, 10.1016/j.aej.2023.05.026 | |
4. | Hashem Althagafi, Dynamics of difference systems: a mathematical study with applications to neural systems, 2025, 10, 2473-6988, 2869, 10.3934/math.2025134 |