
The structure of a finite chain ring has already been described by Wirt in 1972 and others later. The purpose of this article is to describe another structure of a finite chain ring as a ring of square matrices over Galois ring using the companion matrix of a certain Eisenstein polynomial over Galois ring. Such a companion matrix generates the unique maximal ideal of the corresponding matrix chain ring.
Citation: Yousef Alkhamees, Badr Alhajouj. Structure of a chain ring as a ring of matrices over a Galois ring[J]. AIMS Mathematics, 2022, 7(9): 15824-15833. doi: 10.3934/math.2022866
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The structure of a finite chain ring has already been described by Wirt in 1972 and others later. The purpose of this article is to describe another structure of a finite chain ring as a ring of square matrices over Galois ring using the companion matrix of a certain Eisenstein polynomial over Galois ring. Such a companion matrix generates the unique maximal ideal of the corresponding matrix chain ring.
Fractional differential equations (FDEs) are precision tools to describe many nonlinear phenomena from porous media to other areas of scientific disciplines. Researchers have used different local and nonlocal fractional derivatives to model the phenomena around them. For example, Yang et al. [1] considered an advection-dispersion equation with the conformable derivative and obtained its analytical solutions using the Fourier transform. Hosseini et al. [2] studied the BiswasArshed model involving the beta derivative and derived its soliton waves through the Jacobi and Kudryashov techniques. In [3], the authors steered an analytical study on a Caputo time-fractional equation using a capable analytic scheme. In another paper, Sulaiman et al. [4] explored the coupled Burgers system involving the Mittag-Leffler kernel through the Laplace homotopy perturbation method. Generally, the most widely used fractional derivatives that have been adopted by many authors are the conformable derivative [5,6,7,8], the beta derivative [9,10,11,12], the Caputo derivative [13,14,15,16], and the Atangana-Baleanu derivative [17,18,19,20]. For more information about the fractional derivatives, see [21,22,23,24,25,26,27,28,29,30].
The M-fractional derivative is another type of fractional derivatives that lies in the class of the local fractional derivatives (Compared to the nonlocal fractional derivatives such as the Caputo fractional derivative). This local fractional derivative is a generalization of other local fractional derivatives like the conformable fractional derivative. The M-fractional derivative was first proposed by Sousa and Oliveira in [31] that encompasses a number of ordinary derivative properties such as linearity, product rule, etc. Sousa and Oliveira [31] also developed a series of classical results from the Rolle's theorem to other theorems in the M sense. Such results led to the use of this well-behaved derivative in the studies of many researchers. In this respect, Yusuf et al. [32] gained solitons of the Ginzburg-Landau equation involving the M-fractional derivative using the generalized Bernoulli method. Özkan [33] used the simplest equation approach to derive exact solutions of Biswas-Arshed equation with the M-fractional derivatives. Tariq et al. [34] found optical solitons of Schrödinger-Hirota equation involving the M-fractional derivative through the Fan's method. Zafar et al. [35] tried to acquire optical solitons of Biswas-Arshed model with the M-fractional derivative using the sinh-Gordon method.
For f:[0,∞)→R, the M-fractional derivative of f of order α is given by [31]
iDα,βMf(x)=limε→0f(xiEβ(εx−α))−f(x)ε, | (1.1) |
where x>0 and α∈(0,1). Here, iEβ(.),β>0 is the Mittag-Leffler function [36]. If the M-fractional derivative of f of order α exists, then it is said that f is α-differentiable. Note that for the α-differentiable function f, one can define
iDα,βMf(0)=limx→0+iDα,βMf(x), |
provided that
limx→0+iDα,βMf(x), |
exists.
It can be readily shown that for the α-differentiable functions, the M-fractional derivative satisfies the following features [31]:
A. iDα,βM(af+bg)=a(iDα,βMf)+b(iDα,βMg),a,b∈R.
B. iDα,βMxp=pΓ(β+1)xp−α,p∈R.
C. If f(x)=c, then iDα,βMf=0.
D. iDα,βM(fg)=g(iDα,βMf)+f(iDα,βMg).
E. iDα,βM(fg)=g(iDα,βMf)−f(iDα,βMg)g2.
F. iDα,βM(fog)(x)=f′(g(x))iDα,βMg(x), where f is differentiable at g(x).
G. iDα,βMf(x)=x1−αΓ(β+1)dfdx.
H. If a>0 and f:[a,b]→R is continuous and α-differentiable for some α∈(0,1), then there is c∈(a,b) such that
iDα,βMf(c)=α(f(b)−f(a)bα−aα),β>0. |
Abdeljawad [37] introduced the conformable power series and applied such a representaion for a group of certain functions. The main aim of the current paper is to introduce the power series based on the M-fractional derivative and prove some new theorems and corollaries regarding it.
The next sections of the present paper are as follows: In Section 2, the power series based on the M-fractional derivative is introduced. More peciesely, the Taylor and Maclaurin expansions are generalized for fractional-order differentiable functions in accordance with the M-fractional derivative. Furthermore, some new definitions, theorems, and corollaries regarding the power series in the M sense are presented and formally proved, in this section. In Section 3, a number of ODEs with the M-fractional derivative are solved to examine the validity of the results presented. The paper totalizes the outcomes in Section 4.
In the current section, some new definitions, theorems, and corollaries regarding the power series in the M sense are presented and formally proved.
Definition 2.1. An infinite series
a0+∞∑n=1anxnα, |
is called an α-power series in xα. Additionally, the series
a0+∞∑n=1an(xα−xα0)n, |
is known as an α-power series in xα−xα0 which is more general than the previous one.
Definition 2.2. An infinite α-power series
f(x0)+∞∑n=1(Γ(β+1)α)nniDα,βMf(x0)n!(xα−xα0)n, |
is referred to as the α-Taylor expansion of the function f at x0 provided that f is infinitely α-differentiable at x0.
Definition 2.3. An infinite α-power series
f(0)+∞∑n=1(Γ(β+1)α)nniDα,βMf(0)n!xnα, |
is known as the α-Maclaurin expansion of the function f provided that f is infinitely α-differentiable at x0=0.
Definition 2.4. A sequence {fn} is called convergent uniformly to f on the set E⊆R, if for every ε>0, there exists an N∈N such that for all n≥N and all x∈E, |fn(x)−f(x)|<ε.
Theorem 2.5. Assume {fn} converges uniformly to f on the set E⊆R. Let x be a limit point of E and let limt→xfn(t)=ln. Then, {ln} converges and limt→xf(t)=limn→∞ln. Particularly
limt→xlimn→∞fn(t)=limn→∞limt→xfn(t). |
Theorem 2.6. (Uniform convergence and the truncated M-fractional derivative) Let 0<α<1 and a≥0. Suppose {fn} is M-fractional differentiable on (a,b) such that {fn(x0)} converges for some point x0 on (a,b). If {iDα,βMfn} converges uniformly on (a,b), then {fn} converges uniformly on (a,b) to a function f and for every x∈(a,b), we have
iDα,βMf(x)=limn→∞iDα,βMfn(x). |
Proof. Suppose ε>0 and consider N1∈N such that m,n≥N1. Now, t∈(a,b) implies
|fm(x0)−fn(x0)|<ε2, |
and
|iDα,βMfm(t)−iDα,βMfn(t)|<αε2(bα−aα). | (2.1) |
If we apply the mean value theorem (H) to the function fm−fn where m,n≥N1, from (2.1), we find
|fm(x)−fn(x)−fm(t)+fn(t)|=|(fm(x)−fn(x))−(fm(t)−fn(t))|≤1α|iDα,βMfm(z)−iDα,βMfn(z)||xα−tα|≤|xα−tα|αε2α(bα−aα)≤ε2, |
for every x,t∈(a,b), where z is a point between x and t. Thus, for every x∈(a,b) and m,n≥N1, the following
|fm(x)−fn(x)|=|(fm(x)−fn(x))−(fm(x0)−fn(x0))+(fm(x0)−fn(x0))|≤|(fm(x)−fn(x))−(fm(x0)−fn(x0))|+|fm(x0)−fn(x0)|<ε2+ε2=ε |
implies that {fn} converges uniformly on (a,b). Let f(x)=limn→∞fn(x) and x∈(a,b).
Let us fix a point c on (a,b). Suppose that
h(λ)=(iEβ(λc−α))α, |
then
h(0)=1,dhdλ(0)=αΓ(β+1)c−α. |
Thus, there exists a positive number γ such that
|(ciEβ(λc−α))α−cα|=cα|iEβ(λc−α)α−1|=cα|h(λ)−h(0)|<cα2α|λ|Γ(β+1)c−α=2α|λ|Γ(β+1), |
for 0<|λ|<γ. Furthermore, there exists N2∈N such that m,n≥N2. Now, x∈(a,b) implies
|iDα,βMfm(x)−iDα,βMfn(x)|<Γ(β+1)2ε. |
Now, for 0<|λ|<γ, one can define
gn(λ)=fn(ciEβ(λc−α))−fn(c)λ,g(λ)=f(ciEβ(λc−α))−f(c)λ. |
Since limn→∞gn(λ)=g(λ) and limλ→0gn(λ)=iDα,βMfn(c), for m,n≥N2, we have
|gm(λ)−gn(λ)|=|fm(ciEβ(λc−α))−fm(c)λ−fn(ciEβ(λc−α))−fn(c)λ|=1|λ||(fm(ciEβ(λc−α))−fn(ciEβ(λc−α)))−(fm(c)−fn(c))|=1α|λ||(ciEβ(λc−α))α−cα||iDα,βM(fm−fn)(z)|<1α|λ|2α|λ|Γ(β+1)Γ(β+1)2ε=ε, |
where z is a point between 0 and λ. This shows {gn} converges uniformly to g on 0<|λ|<γ. Theorem 1 implies that limλ→0g(λ) exists and limλ→0g(λ)=limn→∞limλ→0gn(λ). This means that iDα,βMf(c) exists and
iDα,βMf(c)=limλ→0g(λ)=limλ→0limn→∞gn(λ)=limn→∞limλ→0gn(λ)=limn→∞iDα,βMfn(c). |
Corollary 2.7. In Theorem 2, if for every n∈N, fn is differentiable in the usual context, then property (G) implies
iDα,βMf(x)=x1−αΓ(β+1)limn→∞f′n(x), |
for all x∈(a,b).
Theorem 2.8. Suppose that 0<α<1, 0<R≤xα0 and the α-power series
∞∑n=0an(xα−xα0)n, |
converges on I=((xα0−R)1α,(xα0+R)1α), and f(x)=∞∑n=0an(xα−xα0)n for x∈I. Then the series
∞∑n=0an(xα−xα0)n, |
converges uniformly on every closed interval of I. The function f is continuous and α-differentiable in I, and
iDα,βMf(x)=αΓ(β+1)∞∑n=1nan(xα−xα0)n−1. |
Proof. Suppose [a,b]⊆I and p is a point in [a,b] such that for every x∈[a,b], |xα−xα0|≤|pα−xα0|. Then,
|an(xα−xα0)n|<|an(pα−xα0)n|, |
for all x∈[a,b]. Since
∞∑n=0an(pα−xα0)n, |
converges absolutely, the Weierstrass M-test yields the uniform convergence of the series
∞∑n=0an(xα−xα0)n, |
on [a,b]. Since
limn→∞supn√αΓ(β+1)n|an|=limn→∞supn√|an|, |
the series
∞∑n=0an(xα−xα0)n |
and
αΓ(β+1)∞∑n=1nan(xα−xα0)n−1 |
have a similar interval of convergence. Accordingly
αΓ(β+1)∞∑n=1nan(xα−xα0)n−1, |
converges uniformly on every [a,b]⊆I. Now, if
sn(x)=n∑k=0ak(xα−xα0)k, |
then
iDα,βMsn(x)=αΓ(β+1)n∑k=1kak(xα−xα0)k−1. |
Since the sequences {sn} and {iDα,βMsn} converge uniformly on [a,b], they also converge uniformly on (a,b). Therefore, Theorem 2 and its corollary imply that iDα,βMf(x) exists on (a,b) and
iDα,βMf(x)=limn→∞iDα,βMsn(x)=αΓ(β+1)∞∑n=1nan(xα−xα0)n−1. |
But, for any x which x∈I, there exists a closed interval [a,b] such that x∈(a,b)⊆[a,b]⊆I. This reveals that iDα,βMf(x) exists for any x∈I and
iDα,βMf(x)=αΓ(β+1)∞∑n=1nan(xα−xα0)n−1. |
The continuity of f is yielded from the existence of iDα,βMf.
Corollary 2.9. Under the hypotheses of Theorem 3, f has M-fractional derivatives of all orders in
((xα0−R)1α,(xα0+R)1α), |
which are given by
kiDα,βMf(x)=(αΓ(β+1))k∞∑n=kn(n−1)×⋯×(n−k+1)an(xα−xα0)n−k. |
In particular
kiDα,βMf(x0)=(αΓ(β+1))kk!ak. |
Corollary 2.10. Suppose 0<α<1, R>0, and the α-power series
∞∑n=0anxnα, |
converges on (0,R1α), and f(x)=∞∑n=0anxnα, where 0<x<R1α. Then, the series
∞∑n=0anxnα, |
converges uniformly on every closed interval of (0,R1α). The function f is continuous and α-differentiable in (0,R1α), and
iDα,βMf(x)=αΓ(β+1)∞∑n=1nan(xα)n−1. |
It is easy to show that
kiDα,βMf(x)=(αΓ(β+1))k∞∑n=kn(n−1)×⋯×(n−k+1)an(xα)n−k. |
Since limx→0+kiDα,βMf(x) exists for k=0,1,⋯,
kiDα,βMf(0)=(αΓ(β+1))kk!ak. |
Corollary 2.11. If two α-power series
∞∑n=0an(xα−xα0)n,and∞∑n=0bn(xα−xα0)n, |
represent the same function in a neighborhood, then an=bn for all n. This means that the α-power series expansion of a function about a given point is uniquely determined.
In this section, by using the α-power series method, several linear and nonlinear ODEs with the M-fractional derivative are solved to examine the validity of the results presented in the current study.
Example 3.1. Firstly, we deal with a problem involving the M-fractional derivative as [40]
iDα,βMy(t)=y(t)+1,limt→0+y(t)=0, | (3.1) |
where the exact solution of Eq (3.1) is
y(t)=exp(Γ(β+1)αtα)−1. |
According to Section 2, we adopt a solution for Eq (3.1) as
y(t)=∞∑n=0an(tα)n. | (3.2) |
By substituting Eq (3.2) into (3.1) and simplifying the resulting expression, we get
αΓ(β+1)∞∑n=1nant(n−1)α=∞∑n=0antnα+1, |
and so
(αΓ(β+1)a1−a0−1)+∞∑n=2(α(n+1)Γ(β+1)an+1−an)tnα=0. |
By performing some simple operations, we achieve
limt→0+y(t)=0→a0=0, |
αΓ(β+1)a1−1=0→a1=Γ(β+1)α,α(n+1)Γ(β+1)an+1−an=0→an+1=Γ(β+1)α(n+1)an,n=1,2,⋯. | (3.3) |
From (3.3), it is clear that
a2=Γ(β+1)2αa1=12(Γ(β+1)α)2,a3=Γ(β+1)3αa2=13!(Γ(β+1)α)3,⋮an=1n!(Γ(β+1)α)n,n=2,3,⋯. |
By applying the above coefficients in Eq (3.2), the solution of Eq (3.1) is derived as
y(t)=∞∑n=11n!(Γ(β+1)α)ntnα, |
or
y(t)=∞∑n=01n!(Γ(β+1)α)ntnα−1,t>0, |
converging to
y(t)=exp(Γ(β+1)αtα)−1. |
The exact solution of Eq (3.1) for different sets of α and β has been plotted in Figure 1.
Example 3.2. Secondly, we want to deal with a problem with the M-fractional derivative as
iD0.5,βMy(t)=y(t)+t12,y(2)=0, | (3.4) |
where the exact solution of Eq (3.4) is
y(t)=(212+12Γ(β+1))e2Γ(β+1)(t12−212)−t12−12Γ(β+1). |
Based on Section 2, the solution of Eq (3.4) is assumed to be
y(t)=∞∑n=0an(t12−212)n. | (3.5) |
By setting Eq (3.5) in (3.4) and simplifying the resulting expression, we find
12Γ(β+1)∞∑n=1nan(t12−212)n−1=∞∑n=0an(t12−212)n+(t12−212)+212, |
or
(12Γ(β+1)a1−a0−212)+(1Γ(β+1)a2−a1−1)(t12−212)+∞∑n=2((n+1)2Γ(β+1)an+1−an)(t12−212)n=0. |
Applying some simple operations, we obtain
y(2)=0→a0=0,12Γ(β+1)a1−a0−212=0→a1=232Γ(β+1),1Γ(β+1)a2−a1−1=0→a2=Γ(β+1)(232Γ(β+1)+1),(n+1)2Γ(β+1)an+1−an=0→an+1=2Γ(β+1)n+1an,n=2,3,⋯. | (3.6) |
From (3.6), it is found that
a3=2Γ(β+1)3a2=(212+12Γ(β+1))23Γ3(β+1)3!,a4=2Γ(β+1)4a3=(212+12Γ(β+1))24Γ4(β+1)4!,⋮an=(212+12Γ(β+1))2nΓn(β+1)n!,n=3,4,⋯. |
Inserting the above coefficients into Eq (3.5) leads to
y(t)=232Γ(β+1)(t12−212)+(212+12Γ(β+1))∞∑n=22n(Γ(β+1))nn!(t12−212)n,t>0, |
or
y(t)=(212+12Γ(β+1))e2Γ(β+1)(t12−212)−t12−12Γ(β+1). |
The exact solution of Eq (3.4) for different values of β has been portrayed in Figure 2.
Example 3.3. Thirdly, we deal with a problem involving the M-fractional derivative as
iDα,βMy(t)=1+(y(t))2,limt→0+y(0)=0, | (3.7) |
which has the following exact solution
y(t)=tan(Γ(β+1)αtα). |
According to Section 2, we adopt a solution for Eq (3.7) as
y(t)=∞∑n=0an(tα)n. | (3.8) |
By substituting Eq (3.8) into (3.7) and simplifying the resulting expression, we get
αΓ(β+1)∞∑n=1nant(n−1)α=1+(∞∑n=0antnα)2, |
or
(αa1Γ(β+1)−a20−1)+∞∑n=1((n+1)αΓ(β+1)an+1−n∑i=0aian−i)tnα=0. |
By performing some simple operations, we achieve
limt→0+y(0)=0→a0=0,αΓ(β+1)a1−a20−1=0→a1=Γ(β+1)α,(n+1)αΓ(β+1)an+1−n∑i=0aian−i=0→an+1=Γ(β+1)(n+1)αn∑i=0aian−i. | (3.9) |
From (3.9), it is clear that
n=1→a2=Γ(β+1)2αa0a1=0,n=2→a3=Γ(β+1)3α(2a0a2+a21)=13(Γ(β+1)α)3,n=3→a4=Γ(β+1)4α(2a0a3+2a1a2)=0,n=4→a5=Γ(β+1)5α(2a0a4+2a22+2a1a3)=215(Γ(β+1)α)5,⋮ |
By applying the above coefficients in Eq (3.8), the solution of Eq (3.7) is derived as
y(t)=Γ(β+1)αtα+13(Γ(β+1)α)3t3α+215(Γ(β+1)α)5t5α+⋯,0<t<(απ2Γ(β+1))2, |
converging to
y(t)=tan(Γ(β+1)αtα). |
The exact solution of Eq (3.7) for different sets of α and β has been plotted in Figure 3.
Example 3.4. In the end, we will deal with a problem with the M-fractional derivative as
iDα,βMy(t)=1−(y(t))2,limt→0+y(0)=0, | (3.10) |
which has the following exact solution
y(t)=tanh(Γ(β+1)αtα). |
Based on Section 2, the solution of Eq (3.10) is supposed to be
y(t)=∞∑n=0an(tα)n. | (3.11) |
By setting Eq (3.11) in (3.10) and simplifying the resulting expression, we find
αΓ(β+1)∞∑n=1nant(n−1)α=1−(∞∑n=0antnα)2, |
or
(αa1Γ(β+1)+a20−1)+∞∑n=1((n+1)αΓ(β+1)an+1+n∑i=0aian−i)tnα=0. |
Through applying some simple operations, we obtain
limt→0+y(0)=0→a0=0,αΓ(β+1)a1+a20−1=0→a1=Γ(β+1)α,(n+1)αΓ(β+1)an+1+n∑i=0aian−i=0→an+1=−Γ(β+1)(n+1)αn∑i=0aian−i. | (3.12) |
From (3.12), it is found that
n=1→a2=−Γ(β+1)2αa0a1=0,n=2→a3=−Γ(β+1)3α(2a0a2+a21)=−13(Γ(β+1)α)3,n=3→a4=−Γ(β+1)4α(2a0a3+2a1a2)=0,n=4→a5=−Γ(β+1)5α(2a0a4+2a22+2a1a3)=215(Γ(β+1)α)5,⋮ |
Inserting the above coefficients into Eq (3.11) leads to
y(t)=Γ(β+1)αtα−13(Γ(β+1)α)3t3α+215(Γ(β+1)α)5t5α−⋯, |
or
y(t)=tanh(Γ(β+1)αtα). |
The exact solution of Eq (3.10) for different sets of α and β has been portrayed in Figure 4.
The key goal of the current paper was to conduct a new investigation on ordinary differential equations involving the M-fractional derivative. In this respect, first, the α-Taylor expansion and the α-Maclaurin expansion were established based on the M-fractional derivative. Then, several definitions, theorems, and corollaries regarding the power series in the M sense were given and successfully proved. To examine the effectiveness of the results provided in the present work, some ordinary differential equations involving the M-fractional derivative were solved. The Maple package as a worthwhile tool was formally adopted to deal with symbolic computations. As a possible future work, the authors will apply the power series in the M sense to solve other well-known ODEs involving the M-fractional derivative.
All authors declare no conflicts of interest in this paper.
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