This study presents a numerical solution for the two-asset time-fractional Black-Scholes model, which governs American and digital options, using a local meshless collocation method based on Gaussian radial basis functions. The proposed meshless approach effectively discretized the spatial derivatives of the model, while the Caputo derivative was employed to represent the time-fractional component, capturing the memory effects and non-local properties characteristic of fractional-order models. Numerical assessments were conducted to evaluate the method's performance across these option models. The study discusses the handling of interest rates, highlighting the method's capability to manage the complexities inherent in multi-asset options. The efficacy and accuracy of the proposed meshless approach were evaluated using the L∞ error norms. In the absence of exact solutions for these option models, the double mesh technique was utilized to validate the accuracy and efficiency of the proposed method, ensuring the robustness and reliability of the numerical results.
Citation: Imtiaz Ahmad, Muhammad Nawaz Khan, Rashid Jan, Normy Norfiza Abdul Razak. Efficient numerical method for pricing multi-asset options with the time-fractional Black-Scholes model: focus on American and digital options[J]. Mathematical Modelling and Control, 2025, 5(2): 147-163. doi: 10.3934/mmc.2025011
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This study presents a numerical solution for the two-asset time-fractional Black-Scholes model, which governs American and digital options, using a local meshless collocation method based on Gaussian radial basis functions. The proposed meshless approach effectively discretized the spatial derivatives of the model, while the Caputo derivative was employed to represent the time-fractional component, capturing the memory effects and non-local properties characteristic of fractional-order models. Numerical assessments were conducted to evaluate the method's performance across these option models. The study discusses the handling of interest rates, highlighting the method's capability to manage the complexities inherent in multi-asset options. The efficacy and accuracy of the proposed meshless approach were evaluated using the L∞ error norms. In the absence of exact solutions for these option models, the double mesh technique was utilized to validate the accuracy and efficiency of the proposed method, ensuring the robustness and reliability of the numerical results.
It is well known that the classical boundary conditions cannot describe certain peculiarities of physical, chemical, or other processes occurring within the domain. In order to overcome this situation, the concept of nonlocal conditions was introduced by Bicadze and Samarskiĭ [1]. These conditions are successfully employed to relate the changes happening at nonlocal positions or segments within the given domain to the values of the unknown function at end points or boundary of the domain. For a detailed account of nonlocal boundary value problems, for example, we refer the reader to the articles [2,3,4,5,6] and the references cited therein.
Computational fluid dynamics (CFD) technique directly deals with the boundary data [7]. In case of fluid flow problems, the assumption of circular cross-section is not justifiable for curved structures. The idea of integral boundary conditions serves as an effective tool to describe the boundary data on arbitrary shaped structures. One can find application of integral boundary conditions in the study of thermal conduction, semiconductor, and hydrodynamic problems [8,9,10]. In fact, there are numerous applications of integral boundary conditions in different disciplines such as chemical engineering, thermoelasticity, underground water flow, population dynamics, etc. [11,12,13]. Also, integral boundary conditions facilitate to regularize ill-posed parabolic backward problems, for example, mathematical models for bacterial self-regularization [14]. Some recent results on boundary value problems with integral boundary conditions can be found in the articles [15,16,17,18,19] and the references cited therein.
The non-uniformities in form of points or sub-segments on the heat sources can be relaxed by using the integro multi-point boundary conditions, which relate the sum of the values of the unknown function (e.g., temperature) at the nonlocal positions (points and sub-segments) and the value of the unknown function over the given domain. Such conditions also find their utility in the diffraction problems when scattering boundary consists of finitely many sub-strips (finitely many edge-scattering problems). For details and applications in engineering problems, for instance, see [20,21,22,23].
The subject of fractional calculus has emerged as an important area of research in view of extensive applications of its tools in scientific and technical disciplines. Examples include neural networks [24,25], immune systems [26], chaotic synchronization [27,28], Quasi-synchronization [29,30], fractional diffusion [31,32,33], financial economics [34], ecology [35], etc. Inspired by the popularity of this branch of mathematical analysis, many researchers turned to it and contributed to its different aspects. In particular, fractional order boundary value problems received considerable attention. For some recent results on fractional differential equations with multi-point and integral boundary conditions, see [36,37]. More recently, in [38,39], the authors analyzed boundary value problems involving Riemann-Liouville and Caputo fractional derivatives respectively. A boundary value problem involving a nonlocal boundary condition characterized by a linear functional was studied in [40]. In a recent paper [41], the existence results for a dual anti-periodic boundary value problem involving nonlinear fractional integro-differential equations were obtained.
On the other hand, fractional differential systems also received considerable attention as such systems appear in the mathematical models associated with physical and engineering processes [42,43,44,45,46]. For theoretical development of such systems, for instance, see the articles [47,48,49,50,51,52].
Motivated by aforementioned applications of nonlocal integral boundary conditions and fractional differential systems, in this paper, we study a nonlinear mixed-order coupled fractional differential system equipped with a new set of nonlocal multi-point integral boundary conditions on an arbitrary domain given by
{cDξa+x(t)=φ(t,x(t),y(t)),0<ξ≤1,t∈[a,b],cDζa+y(t)=ψ(t,x(t),y(t)),1<ζ≤2,t∈[a,b],px(a)+qy(b)=y0+x0∫ba(x(s)+y(s))ds,y(a)=0,y′(b)=m∑i=1δix(σi)+λ∫bτx(s)ds,a<σ1<σ2<…<σm<τ<b, | (1.1) |
where cDχ is Caputo fractional derivative of order χ∈{ξ,ζ},φ,ψ:[a,b]×R×R→R are given functions, p,q,δi,x0,y0∈R,i=1,2,…,m.
Here we emphasize that the novelty of the present work lies in the fact that we introduce a coupled system of fractional differential equations of different orders on an arbitrary domain equipped with coupled nonlocal multi-point integral boundary conditions. It is imperative to notice that much of the work related to the coupled systems of fractional differential equations deals with the fixed domain. Thus our results are more general and contribute significantly to the existing literature on the topic. Moreover, several new results appear as special cases of the work obtained in this paper.
We organize the rest of the paper as follows. In Section 2, we present some basic concepts of fractional calculus and solve the linear version of the problem (1.1). Section 3 contains the main results. Examples illustrating the obtained results are presented in Section 4. Section 5 contains the details of a variant problem. The paper concludes with some interesting observations.
Let us recall some definitions from fractional calculus related to our study [53].
Definition 2.1. The Riemann–Liouville fractional integral of order α∈R (α>0) for a locally integrable real-valued function ϱ of order α∈R, denoted by Iαa+ϱ, is defined as
Iαa+ϱ(t)=(ϱ∗tα−1Γ(α))(t)=1Γ(α)t∫a(t−s)α−1ϱ(s)ds,−∞≤a<t<b≤+∞, |
where Γ denotes the Euler gamma function.
Definition 2.2. The Riemann–Liouville fractional derivative Dαa+ϱ of order α∈]m−1,m],m∈N is defined as
Dαa+ϱ(t)=dmdtmI1−αa+ϱ(t)=1Γ(m−α)dmdtmt∫a(t−s)m−1−αϱ(s)ds,−∞≤a<t<b≤+∞, |
while the Caputo fractional derivative cDαa+u is defined as
cDαa+ϱ(t)=Dαa+[ϱ(t)−ϱ(a)−ϱ′(a)(t−a)1!−…−ϱ(m−1)(a)(t−a)m−1(m−1)!], |
for ϱ,ϱ(m)∈L1[a,b].
Remark 2.1. The Caputo fractional derivative cDαa+ϱ is also defined as
cDαϱ(t)=1Γ(m−α)∫t0(t−s)m−α−1ϱ(m)(s)ds. |
In the following lemma, we obtain the integral solution of the linear variant of the problem (1.1).
Lemma 2.1. Let Φ,Ψ∈C([a,b],R). Then the unique solution of the system
{cDξa+x(t)=Φ(t),0<ξ≤1,t∈[a,b],cDζa+y(t)=Ψ(t),1<ζ≤2,t∈[a,b],px(a)+qy(b)=y0+x0∫ba(x(s)+y(s))ds,y(a)=0,y′(b)=m∑i=1δix(σi)+λ∫bτx(s)ds,a<σ1<σ2<…<σm<τ<b, | (2.1) |
is given by a pair of integral equations
x(t)=Iξa+Φ(t)+1Δ{y0+x0∫ba(b−s)ξΓ(ξ+1)Φ(s)ds+∫ba(x0(b−s)ζΓ(ζ+1)+ε1(b−s)ζ−2Γ(ζ−1)−q(b−s)ξ−1Γ(ξ))Ψ(s)ds−ε1m∑i=1δi∫σia(σi−s)ξ−1Γ(ξ)Φ(s)ds−ε1λ∫bτ∫sa(s−u)ξ−1Γ(ξ)Φ(u)duds}, | (2.2) |
y(t)=Iζa+Ψ(t)+(t−a)Δ{ε2y0+ε2x0∫ba(b−s)ξΓ(ξ+1)Φ(s)ds+∫ba(ε2x0(b−s)ζΓ(ζ+1)−ε2q(b−s)ξ−1Γ(ξ)−ε3(b−s)ζ−2Γ(ζ−1))Ψ(s)ds+ε3m∑i=1δi∫σia(σi−s)ξ−1Γ(ξ)Φ(s)ds+ε3λ∫bτ∫sa(s−u)ξ−1Γ(ξ)Φ(u)duds}, | (2.3) |
where
ε1=q(b−a)−x0(b−a)22,ε2=m∑i=1δi+λ(b−τ),ε3=p−(b−a)x0, | (2.4) |
and it is assumed that
Δ=ε3+ε2ε1≠0. | (2.5) |
Proof. Applying the integral operators Iξa+ and Iζa+ respectively on the first and second fractional differential equations in (2.1), we obtain
x(t)=Iξa+Φ(t)+c1andy(t)=Iζa+Ψ(t)+c2+c3(t−a), | (2.6) |
where ci∈R,i=1,2,3 are arbitrary constants. Using the condition y(a)=0 in (2.6), we get c2=0. Making use of the conditions px(a)+qy(b)=y0+x0∫ba(x(s)+y(s))ds and y′(b)=∑mi=1δix(σi)+λ∫bτx(s)ds in (2.6) after inserting c2=0 in it leads to the following system of equations in the unknown constants c1 and c3:
(p−(b−a)x0)c1+(q(b−a)−x0(b−a)22)c3=y0+x0∫ba(b−r)ξΓ(ξ+1)Φ(r)dr+x0∫ba(b−r)ζΓ(ζ+1)Ψ(r)dr−qIζa+Ψ(b), | (2.7) |
(m∑i=1δi+λ(b−τ))c1−c3=Iζ−1a+Ψ(b)−m∑i=1δiIξa+Φ(σi)−λ∫bτIξa+Φ(s)ds. | (2.8) |
Solving (2.7) and (2.8) for c1 and c3 and using the notation (2.5), we find that
c1=1Δ{ε1(Iζ−1a+Ψ(b)−m∑i=1δiIξa+Φ(σi)−λ∫bτIξa+Φ(s)ds)+y0+x0∫ba(b−r)ξΓ(ξ+1)Φ(r)dr+x0∫ba(b−r)ζΓ(ζ+1)Ψ(r)dr−qIξa+Ψ(b)},c3=1Δ{ε2(y0+∫ba(b−r)ξΓ(ξ+1)Φ(r)dr+x0∫ba(b−r)ζΓ(ζ+1)Ψ(r)dr−qIξa+Ψ(b))−ε3(Iζ−1a+Ψ(b)−m∑i=1δiIξa+Φ(σi)−λ∫bτIξa+Φ(s)ds)}. |
Inserting the values of c1,c2, and c3 in (2.6) leads to the solution (2.2) and (2.3). One can obtain the converse of the lemma by direct computation. This completes the proof.
Let X=C([a,b],R) be a Banach space endowed with the norm ‖x‖=sup{|x(t)|,t∈[a,b]}.
In view of Lemma 2.1, we define an operator T:X×X→X by:
T(x(t),y(t))=(T1(x(t),y(t)),T2(x(t),y(t))), |
where (X×X,‖(x,y)‖) is a Banach space equipped with norm ‖(x,y)‖=‖x‖+‖y‖,x,y∈X,
T1(x,y)(t)=Iξa+φ(t,x(t),y(t))+1Δ(y0+x0∫ba(b−s)ξΓ(ξ+1)φ(s,x(s),y(s))ds+∫baρ1(s)ψ(s,x(s),y(s))ds−ε1m∑i=1δi∫σia(σi−s)ξ−1Γ(ξ)φ(s,x(s),y(s))ds−ε1λ∫bτ∫sa(s−u)ξ−1Γ(ξ)φ(u,x(u),y(u))duds),T2(x,y)(t)=Iζa+ψ(t,x(t),y(t))+(t−a)Δ(ε2y0+ε2x0∫ba(b−s)ξΓ(ξ+1)φ(s,x(s),y(s))ds+∫baρ2(s)ψ(s,x(s),y(s))ds+ε3m∑i=1δi∫σia(σi−s)ξ−1Γ(ξ)φ(s,x(s),y(s))ds+ε3λ∫bτ∫sa(s−u)ξ−1Γ(ξ)φ(u,x(u),y(u))duds), |
ρ1(s)=x0(b−s)ζΓ(ζ+1)+ε1(b−s)ζ−2Γ(ζ−1)−q(b−s)ξ−1Γ(ξ),ρ2(s)=ε2x0(b−s)ζΓ(ζ+1)−ε2q(b−s)ξ−1Γ(ξ)−ε3(b−s)ζ−2Γ(ζ−1). |
For computational convenience we put:
L1=(b−a)ξΓ(ξ+1)+1|Δ|(|x0|(b−a)ξ+1Γ(ξ+2)+|ε1|m∑i=1|δi|(σi−a)ξΓ(ξ+1)+|ε1λ||(b−a)ξ+1−(τ−a)ξ+1|Γ(ξ+2)),M1=1|Δ|(|x0|(b−a)ζ+1Γ(ζ+2)+|ε1|(b−a)ζ−1Γ(ζ)+|q|(b−a)ξΓ(ξ+1)),L2=(b−a)|Δ|(|ε2x0|(b−a)ξ+1Γ(ξ+2)+|ε3|m∑i=1|δi|(σi−a)ξΓ(ξ+1)+|ε3λ||(b−a)ξ+1−(τ−a)ξ+1|Γ(ξ+2)),M2=(b−a)ζΓ(ζ+1)+b−a|Δ|(|ε2x0|(b−a)ζ+1Γ(ζ+2)+|ε2q|(b−a)ξΓ(ξ+1)+|ε3|(b−a)ζ−1Γ(ζ)). | (3.1) |
Our first existence result for the system (1.1) relies on Leray-Schauder alternative [54].
Theorem 3.1. Assume that:
(H1)φ,ψ:[a,b]×R×R→R are continuous functions and there exist real constants ki,γi≥0,(i=1,2) and k0>0,γ0>0 such that ∀x,y∈R,
|φ(t,x,y)|≤k0+k1|x|+k2|y|,|ψ(t,x,y)|≤γ0+γ1|x|+γ2|y|. |
Then there exists at least one solution for the system (1.1) on [a,b] if
(L1+L2)k1+(M1+M2)γ1<1and(L1+L2)k2+(M1+M2)γ2<1, | (3.2) |
where Li,Mi,i=1,2 are given by (3.1).
Proof. Let us note that continuity of the functions φ and ψ implies that of the operator T:X×X→X×X. Next, let Ω⊂X×X be bounded such that
|φ(t,x(t),y(t))|≤K1,|ψ(t,x(t),y(t))|≤K2,∀(x,y)∈Ω, |
for positive constants K1 and K2. Then for any (x,y)∈Ω, we have
|T1(x,y)(t)|≤Iξa+|φ(t,x(t),y(t))|+1|Δ|(|y0|+|x0|∫ba(b−s)ξΓ(ξ+1)|φ(s,x(s),y(s))|ds+∫ba|ρ1(s)||ψ(s,x(s),y(s))|ds+|ε1|m∑i=1|δi|∫σia(σi−s)ξ−1Γ(ξ)|φ(s,x(s),y(s))|ds+|ε1λ|∫bτ∫sa(s−u)ξ−1Γ(ξ)|φ(u,x(u),y(u))|duds)≤|y0||Δ|+{(b−a)ξΓ(ξ+1)+1|Δ|(|x0|(b−a)ξ+1Γ(ξ+2)+|ε1|m∑i=1|δi|(σi−a)ξΓ(ξ+1)+|ε1λ||(b−a)ξ+1−(τ−a)ξ+1|Γ(ξ+2))}K1+{1|Δ|(|x0|(b−a)ζ+1Γ(ζ+2)+|ε1|(b−a)ζ−1Γ(ζ)+|q|(b−a)ξΓ(ξ+1))}K2=|y0||Δ|+L1K1+M1K2, | (3.3) |
which implies that
‖T1(x,y)‖≤|y0||Δ|+L1K1+M1K2. |
In a similar manner, one can obtain that
‖T2(x,y)‖≤|ε2y0|(b−a)|Δ|+L2K1+M2K2. |
In consequence, the operator T is uniformly bounded as
‖T(x,y)‖≤|y0||Δ|+|ε2y0|(b−a)|Δ|+(L1+L2)K1+(M1+M2)K2. |
Now we show that T is equicontinuous. Let t1,t2∈[a,b] with t1<t2. Then we have
|T1(x(t2),y(t2))−T1(x(t1),y(t1))|≤K1|1Γ(ξ)∫t2a(t2−s)ξ−1ds−1Γ(ξ)∫t1a(t1−s)ξ−1ds|≤K1{1Γ(ξ)∫t1a[(t2−s)ξ−1−(t1−s)ξ−1]ds+1Γ(ξ)∫t2t1(t2−s)ξ−1ds}≤K1Γ(ξ+1)[2(t2−t1)ξ+|tξ2−tξ1|]. | (3.4) |
Analogously, we can obtain
|T2(x(t2),y(t2))−T2(x(t1),y(t1))|≤K2Γ(ζ+1)[2(t2−t1)ζ+|tζ2−tζ1|]+|t2−t1||Δ|{|ε2x0|(b−a)ξ+1Γ(ξ+2)K1+(|ε2x0|(b−a)ζ+1Γ(ζ+2)+|ε2q|(b−a)ξΓ(ξ+1)+|ε3|(b−a)ζ−1Γ(ζ))K2+|ε3|m∑i=1|δi|(σ1−b)ξΓ(ξ+1)K1+|ε3λ||(b−a)ξ+1−(τ−a)ξ+1|Γ(ξ+2)K1}. |
From the preceding inequalities, it follows that the operator T(x,y) is equicontinuous. Thus the operator T(x,y) is completely continuous.
Finally, we consider the set P={(x,y)∈X×X:(x,y)=νT(x,y),0≤ν≤1} and show that it is bounded.
Let (x,y)∈P with (x,y)=νT(x,y). For any t∈[a,b], we have x(t)=νT1(x,y)(t),y(t)=νT2(x,y)(t). Then by (H1) we have
|x(t)|≤|y0||Δ|+L1(k0+k1|x|+k2|y|)+M1(γ0+γ1|x|+γ2|y|)=|y0||Δ|+L1k0+M1γ0+(L1k1+M1γ1)|x|+(L1k2+M1γ2)|y|, |
and
|y(t)|≤|ε2y0|(b−a)|Δ|+L2(k0+k1|x|+k2|y|)+M2(γ0+γ1|x|+γ2|y|)=|ε2y0|(b−a)|Δ|+L2k0+M2γ0+(L2k1+M2γ1)|x|+(L2k2+M2γ2)|y|. |
In consequence of the above inequalities, we deduce that
‖x‖≤|y0||Δ|+L1k0+M1γ0+(L1k1+M1γ1)‖x‖+(L1k2+M1γ2)‖y‖, |
and
‖y‖≤|ε2y0|(b−a)|Δ|+L2k0+M2γ0+(L2k1+M2γ1)‖x‖+(L2k2+M2γ2)‖y‖, |
which imply that
‖x‖+‖y‖≤|y0||Δ|+|ε2y0|(b−a)|Δ|+(L1+L2)k0+(M1+M2)γ0+[(L1+L2)k1+(M1+M2)γ1]‖x‖+[(L1+L2)k2+(M1+M2)γ2]‖y‖. |
Thus
‖(x,y)‖≤1M0[|y0||Δ|+|ε2y0|(b−a)|Δ|+(L1+L2)k0+(M1+M2)γ0], |
where M0=min{1−[(L1+L2)k1+(M1+M2)γ1],1−[(L1+L2)k2+(M1+M2)γ2]}. Hence the set P is bounded. As the hypothesis of Leray-Schauder alternative [54] is satisfied, we conclude that the operator T has at least one fixed point. Thus the problem (1.1) has at least one solution on [a,b].
By using Banach's contraction mapping principle we prove in the next theorem the existence of a unique solution of the system (1.1).
Theorem 3.2. Assume that:
(H2)φ,ψ:[a,b]×R×R→R are continuous functions and there exist positive constants l1 and l2 such that for all t∈[a,b] and xi,yi∈R,i=1,2, we have
|φ(t,x1,x2)−φ(t,y1,y2)|≤l1(|x1−y1|+|x2−y2|), |
|ψ(t,x1,x2)−ψ(t,y1,y2)|≤l2(|x1−y1|+|x2−y2|). |
If
(L1+L2)l1+(M1+M2)l2<1, | (3.5) |
where Li,Mi,i=1,2 are given by (3.1) then the system (1.1) has a unique solution on [a,b].
Proof. Define supt∈[a,b]φ(t,0,0)=N1<∞, supt∈[a,b]ψ(t,0,0)=N2<∞ and r>0 such that
r>(|y0|/|Δ|)(1+(b−a)|ε2|)+(L1+L2)N1+(M1+M2)N21−(L1+L2)l1−(M1+M2)l2. |
Let us first show that TBr⊂Br, where Br={(x,y)∈X×X:‖(x,y)‖≤r}. By the assumption (H2), for (x,y)∈Br,t∈[a,b], we have
|φ(t,x(t),y(t))|≤|φ(t,x(t),y(t))−φ(t,0,0)|+|φ(t,0,0)|≤l1(|x(t)|+|y(t)|)+N1≤l1(‖x‖+‖y‖)+N1≤l1r+N1. | (3.6) |
Similarly, we can get
|ψ(t,x(t),y(t))|≤l2(‖x‖+‖y‖)+N2≤l2r+N2. | (3.7) |
Using (3.6) and (3.7), we obtain
|T1(x,y)(t)|≤Iξa+|φ(t,x(t),y(t))|+1|Δ|(|y0|+|x0|∫ba(b−s)ξΓ(ξ+1)|φ(s,x(s),y(s))|ds+∫ba|ρ1(s)||ψ(s,x(s),y(s))|ds+|ε1|m∑i=1|δi|∫σia(σi−s)ξ−1Γ(ξ)|φ(s,x(s),y(s))|ds+|ε1λ|∫bτ∫sa(s−u)ξ−1Γ(ξ)|φ(u,x(u),y(u))|duds)≤|y0||Δ|+{(b−a)ξΓ(ξ+1)+1|Δ|(|x0|(b−a)ξ+1Γ(ξ+2)+|ε1|m∑i=1|δi|(σi−a)ξΓ(ξ+1)+|ε1λ||(b−a)ξ+1−(τ−a)ξ+1|Γ(ξ+2))}(l1r+N1)+{1|Δ|(|x0|(b−a)ζ+1Γ(ζ+2)+|ε1|(b−a)ζ−1Γ(ζ)+|q|(b−a)ξΓ(ξ+1))}(l2r+N2)=|y0||Δ|+L1(l1r+N1)+M1(l2r+N2)=|y0||Δ|+(L1l1+M1l2)r+L1N1+M1N2. | (3.8) |
Taking the norm of (3.8) for t∈[a,b], we get
‖T1(x,y)‖≤|y0||Δ|+(L1l1+M1l2)r+L1N1+M1N2. |
Likewise, we can find that
‖T2(x,y)‖≤|ε2y0|(b−a)|Δ|+(L2l1+M2l2)r+L2N1+M2N2. |
Consequently,
‖T(x,y)‖≤|y0||Δ|+|ε2y0|(b−a)|Δ|+[(L1+L2)l1+(M1+M2)l2]r+(L1+L2)N1+(M1+M2)N2≤r. |
Now, for (x1,y1),(x2,y2)∈X×X and for any t∈[a,b], we get
|T1(x2,y2)(t)−T1(x1,y1)(t)|≤{(b−a)ξΓ(ξ+1)+1|Δ|(|x0|(b−a)ξ+1Γ(ξ+2)+|ε1|m∑i=1|δi|(σi−a)ξΓ(ξ+1)+|ε1λ||(b−a)ξ+1−(τ−a)ξ+1|Γ(ξ+2))}l1(‖x2−x1‖+‖y2−y1‖)+{1|Δ|(|x0|(b−a)ζ+1Γ(ζ+2)+|ε1|(b−a)ζ−1Γ(ζ)+|q|(b−a)ξΓ(ξ+1))}l2(‖x2−x1‖+‖y2−y1‖)=(L1l1+M1l2)(‖x2−x1‖+‖y2−y1‖), |
which implies that
‖T1(x2,y2)−T1(x1,y1)‖≤(L1l1+M1l2)(‖x2−x1‖+‖y2−y1‖). | (3.9) |
Similarly, we find that
‖T2(x2,y2)−T2(x1,y1)‖≤(L2l1+M2l2)(‖x2−x1‖+‖y2−y1‖). | (3.10) |
It follows from (3.9) and (3.10) that
‖T(x2,y2)−T(x1,y1)‖≤[(L1+L2)l1+(M1+M2)l2](‖x2−x1‖+‖y2−y1‖). |
From the above inequality, we deduce that T is a contraction. Hence it follows by Banach's fixed point theorem that there exists a unique fixed point for the operator T, which corresponds to a unique solution of problem (1.1) on [a,b]. This completes the proof.
Consider the following mixed-type coupled fractional differential system
{D34a+x(t)=φ(t,x(t),y(t)),t∈[1,2],D74a+y(t)=ψ(t,x(t),y(t)),t∈[1,2]15x(1)+110y(2)=11000∫21(x(s)+y(s))ds,y(1)=0,y′(2)=2∑i=1δix(σi)+110∫274x(s)ds, | (3.11) |
where ξ=3/4,ζ=7/4,p=1/5,q=1/10,x0=1/1000,y0=0,δ1=1/10,δ2=1/100,σ1=5/4,σ2=3/2,τ=7/4,λ=1/10. With the given data, it is found that L1≃3.5495×10−2,L2≃6.5531×10−2,M1≃1.0229,M2≃0.90742.
(1) In order to illustrate Theorem 3.1, we take
φ(t,x,y)=e−2t+18xcosy+e−t3ysiny,ψ(t,x,y)=t√t2+3+e−t3πxtan−1y+1√48+t2y. | (3.12) |
It is easy to check that the condition (H1) is satisfied with k0=1/e2,k1=1/8,k2=1/(3e),γ0=2√7,γ1=1/(6e),γ2=1/7. Furthermore, (L1+L2)k1+(M1+M2)γ1≃0.13098<1, and (L1+L2)k2+(M1+M2)γ2≃0.28815<1. Clearly the hypotheses of Theorem 3.1 are satisfied and hence the conclusion of Theorem 3.1 applies to problem (3.11) with φ and ψ given by (3.12).
(2) In order to illustrate Theorem 3.2, we take
φ(t,x,y)=e−t√3+t2cosx+cost,ψ(t,x,y)=15+t4(sinx+|y|)+e−t, | (3.13) |
which clearly satisfy the condition (H2) with l1=1/(2e) and l2=1/6. Moreover (L1+L2)l1+(M1+M2)l2≃0.3403<1. Thus the hypothesis of Theorem 3.2 holds true and consequently there exists a unique solution of the problem (3.11) with φ and ψ given by (3.13) on [1,2].
In this section, we consider a variant of the problem (1.1) in which the nonlinearities φ and ψ do not depend on x and y respectively. In precise terms, we consider the following problem:
{cDξa+x(t)=¯φ(t,y(t)),0<ξ≤1,t∈[a,b],cDζa+y(t)=¯ψ(t,x(t)),1<ζ≤2,t∈[a,b],px(a)+qy(b)=y0+x0∫ba(x(s)+y(s))ds,y(a)=0,y′(b)=m∑i=1δix(σi)+λ∫bτx(s)ds,a<σ1<σ2<…<σm<τ<…<b, | (4.1) |
where φ,ψ:[a,b]×R→R are given functions. Now we present the existence and uniqueness results for the problem (4.1). We do not provide the proofs as they are similar to the ones for the problem (1.1).
Theorem 4.1. Assume that ¯φ,¯ψ:[a,b]×R→R are continuous functions and there exist real constants ¯ki,¯γi≥0,(i=0,1) and ¯k0>0,¯γ0>0 such that, ∀x,y∈R,
|¯φ(t,y)|≤¯k0+¯k1|y|,|¯ψ(t,x)|≤¯γ0+¯γ1|x|. |
Then the system (4.1) has at least one solution on [a,b] provided that (M1+M2)¯γ1<1 and (L1+L2)¯k1<1, where L1,M1 and L2,M2 are given by (3.1).
Theorem 4.2. Let ¯φ,¯ψ:[a,b]×R→R be continuous functions and there exist positive constants ¯l1 and ¯l2 such that, for all t∈[a,b] and xi,yi∈R,i=1,2,
|¯φ(t,x1)−¯φ(t,y1)|≤¯l1|x1−y1|,|¯ψ(t,x1)−¯ψ(t,y1)|≤¯l2|x1−y1|. |
If (L1+L2)¯l1+(M1+M2)¯l2<1, where L1,M1 and L2,M2 are given by (3.1) then the system (4.1) has a unique solution on [a,b].
We studied the solvability of a coupled system of nonlinear fractional differential equations of different orders supplemented with a new set of nonlocal multi-point integral boundary conditions on an arbitrary domain by applying the tools of modern functional analysis. We also presented the existence results for a variant of the given problem containing the nonlinearities depending on the cross-variables (unknown functions). Our results are new not only in the given configuration but also yield some new results by specializing the parameters involved in the problems at hand. For example, by taking δi=0,i=1,2,…,m in the obtained results, we obtain the ones associated with the coupled systems of fractional differential equations in (1.1) and (4.1) subject to the boundary conditions:
px(a)+qy(b)=y0+x0∫ba(x(s)+y(s))ds,y(a)=0,y′(b)=λ∫bτx(s)ds. |
For λ=0, our results correspond to the boundary conditions of the form:
px(a)+qy(b)=y0+x0∫ba(x(s)+y(s))ds,y(a)=0,y′(b)=m∑i=1δix(σi). | (5.1) |
Furthermore, the methods employed in this paper can be used to solve the systems involving fractional integro-differential equations and multi-term fractional differential equations complemented with the boundary conditions considered in the problem (1.1).
All authors declare no conflicts of interest in this paper.
This project was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, Saudi Arabia under grant no. (KEP-PhD-41-130-41). The authors, therefore, acknowledge with thanks DSR technical and financial support. The authors also thank the reviewers for their useful suggestions on our work.
[1] |
S. B. Chen, H. Jahanshahi, O. A. Abba, J. E. Solís-Pérez, S. Bekiros, J. F. Gómez-Aguilar, et al., The effect of market confidence on a financial system from the perspective of fractional calculus: Numerical investigation and circuit realization, Chaos, Soliton. Fract., 140 (2020), 110223. https://doi.org/10.1016/j.chaos.2020.110223 doi: 10.1016/j.chaos.2020.110223
![]() |
[2] |
P. Ma, A. Najafi, J. F. Gomez-Aguilar, Sub mixed fractional Brownian motion and its application to finance, Chaos, Soliton. Fract., 184 (2024), 114968. https://doi.org/10.1016/j.chaos.2024.114968 doi: 10.1016/j.chaos.2024.114968
![]() |
[3] |
J. Wu, J. F. Gomez-Aguilar, R. Taleghani, Portfolio optimization under the uncertain financial model, Comput. Econ., 2024, 1–22. https://doi.org/10.1007/s10614-024-10727-w doi: 10.1007/s10614-024-10727-w
![]() |
[4] |
J. P. Aguilar, J. Korbel, N. Pesci, On the quantitative properties of some market models involving fractional derivatives, Mathematics, 9 (2021), 3198. https://doi.org/10.3390/math9243198 doi: 10.3390/math9243198
![]() |
[5] |
F. Black, M. Scholes, The pricing of options and corporate liabilities, J. Polit. Econ., 81 (1973), 637–654. https://doi.org/10.1086/260062 doi: 10.1086/260062
![]() |
[6] |
P. Carr, L. Wu, The finite moment log stable process and option pricing, J. Finance, 58 (2003), 753–777. https://doi.org/10.1111/1540-6261.00544 doi: 10.1111/1540-6261.00544
![]() |
[7] |
A. I. Alaje, M. O. Olayiwola, K. A. Adedokun, J. A. Adedeji, A. O. Oladapo, Y. O. Akeem, The modified homotopy perturbation method and its application to the dynamics of price evolution in Caputo-fractional order Black Scholes model, Beni-Suef Univ. J. Basic Appl. Sci., 12 (2023), 93. https://doi.org/10.1186/s43088-023-00433-1 doi: 10.1186/s43088-023-00433-1
![]() |
[8] |
S. N. Ogunyebi, S. E. Fadugba, T. O. Ogunlade, K. J. Adebayo, B. T. Babalola, O. Faweya, et al., Direct solution of the Black-Scholes PDE models with non-integer order, J. Phys. Conf. Ser., 2199 (2022), 012003. https://doi.org/10.1088/1742-6596/2199/1/012003 doi: 10.1088/1742-6596/2199/1/012003
![]() |
[9] |
G. Jumarie, Derivation and solutions of some fractional Black-Scholes equations in coarse-grained space and time. application to merton's optimal portfolio, Comput. Math. Appl., 59 (2010), 1142–1164. https://doi.org/10.1016/j.camwa.2009.05.015 doi: 10.1016/j.camwa.2009.05.015
![]() |
[10] |
J. Korbel, Y. Luchko, Modeling of financial processes with a space-time fractional diffusion equation of varying order, Fract. Calc. Appl. Anal., 19 (2016), 1414–1433. https://doi.org/10.1515/fca-2016-0073 doi: 10.1515/fca-2016-0073
![]() |
[11] |
A. Farhadi, M. Salehi, G. H. Erjaee, A new version of Black-Scholes equation presented by time-fractional derivative, Iran J. Sci. Technol. Trans. Sci., 42 (2018), 2159–2166. https://doi.org/10.1007/s40995-017-0244-7 doi: 10.1007/s40995-017-0244-7
![]() |
[12] |
A. Cartea, D. del Castillo-Negrete, Fractional diffusion models of option prices in markets with jumps, Phys. A: Stat. Mech. Appl., 374 (2007), 749–763. https://doi.org/10.1016/j.physa.2006.08.071 doi: 10.1016/j.physa.2006.08.071
![]() |
[13] |
Q. Li, Y. Zhou, X. Zhao, X. Ge, Fractional order stochastic differential equation with application in European option pricing, Discrete Dyn. Nat. Soc., 2014 (2014), 621895. https://doi.org/10.1155/2014/621895 doi: 10.1155/2014/621895
![]() |
[14] |
W. Chen, X. Xu, S. P. Zhu, A predictor–corrector approach for pricing American options under the finite moment log-stable model, Appl. Numer. Math., 97 (2015), 15–29. https://doi.org/10.1016/j.apnum.2015.06.004 doi: 10.1016/j.apnum.2015.06.004
![]() |
[15] |
W. Chen, S. Wang, A penalty method for a fractional order parabolic variational inequality governing American put option valuation, Comput. Math. Appl., 67 (2014) 77–90. https://doi.org/10.1016/j.camwa.2013.10.007 doi: 10.1016/j.camwa.2013.10.007
![]() |
[16] |
G. Colldeforns-Papiol, L. Ortiz-Gracia, C. W. Oosterlee, Two-dimensional Shannon wavelet inverse Fourier technique for pricing European options, Appl. Numer. Math., 117 (2017), 115–138. https://doi.org/10.1016/j.apnum.2017.03.002 doi: 10.1016/j.apnum.2017.03.002
![]() |
[17] |
M. J. Ruijter, C. W. Oosterlee, Two-dimensional Fourier cosine series expansion method for pricing financial options, SIAM J. Sci. Comput., 34 (2012), B642–B671. https://doi.org/10.1137/120862053 doi: 10.1137/120862053
![]() |
[18] |
Q. J. Meng, D. Ding, An efficient pricing method for rainbow options based on two-dimensional modified sine–sine series expansions, Int. J. Comput. Math., 90 (2013), 1096–1113. https://doi.org/10.1080/00207160.2012.749349 doi: 10.1080/00207160.2012.749349
![]() |
[19] |
W. Wang, X. Chen, D. Ding, S. L. Lei, Circulant preconditioning technique for barrier options pricing under fractional diffusion models, Int. J. Comput. Math., 92 (2015), 2596–2614. https://doi.org/10.1080/00207160.2015.1077948 doi: 10.1080/00207160.2015.1077948
![]() |
[20] |
X. Chen, W. Wang, D. Ding, S. L. Lei, A fast preconditioned policy iteration method for solving the tempered fractional HJB equation governing American options valuation, Comput. Math. Appl., 73 (2017), 1932–1944. https://doi.org/10.1016/j.camwa.2017.02.040 doi: 10.1016/j.camwa.2017.02.040
![]() |
[21] |
S. L. Lei, W. Wang, X. Chen, D. Ding, A fast preconditioned penalty method for American options pricing under regime-switching tempered fractional diffusion models, J. Sci. Comput., 75 (2018), 1633–1655. https://doi.org/10.1007/s10915-017-0602-9 doi: 10.1007/s10915-017-0602-9
![]() |
[22] |
S. Kim, D. Jeong, C. Lee, J. Kim, Finite difference method for the multi-asset Black–Scholes equations, Mathematics, 8 (2020), 391. https://doi.org/10.3390/math8030391 doi: 10.3390/math8030391
![]() |
[23] |
D. Černá, K. Fiňková, Option pricing under multifactor Black–Scholes model using orthogonal spline wavelets, Math. Comput. Simul., 220 (2024), 309–340. https://doi.org/10.1016/j.matcom.2024.01.020 doi: 10.1016/j.matcom.2024.01.020
![]() |
[24] |
J. Choi, Sum of all Black–Scholes–Merton models: an efficient pricing method for spread, basket, and Asian options, J. Futures Markets, 38 (2018), 627–644. https://doi.org/10.1002/fut.21909 doi: 10.1002/fut.21909
![]() |
[25] | C. Bayer, C. B. Hammouda, A. Papapantoleon, M. Samet, R. Tempone, Quasi-Monte Carlo for efficient fourier pricing of multi-asset options, arXiv Preprint, 2024. https://doi.org/10.48550/arXiv.2403.02832 |
[26] | W. Chen, S. Wang, A 2nd-order FDM for a 2D fractional Black-Scholes equation, In: I. Dimov, I. Faragó, L. Vulkov, Numerical analysis and its applications, NAA 2016, Lecture Notes in Computer Science, Springer, Cham., 10187 (2017), 46–57. https://doi.org/10.1007/978-3-319-57099-0_5 |
[27] |
W. Chen, S. Wang, A power penalty method for a 2D fractional partial differential linear complementarity problem governing two-asset American option pricing, Appl. Math. Comput., 305 (2017), 174–187. https://doi.org/10.1016/j.amc.2017.01.069 doi: 10.1016/j.amc.2017.01.069
![]() |
[28] |
L. Mohan, A. Prakash, Stability and numerical analysis of the generalised time-fractional Cattaneo model for heat conduction in porous media, Eur. Phys. J. Plus, 138 (2023), 1–28. https://doi.org/10.1140/epjp/s13360-023-03765-0 doi: 10.1140/epjp/s13360-023-03765-0
![]() |
[29] |
K. S. Chaudhary, N. Kumar, Fractional order fast terminal sliding mode control scheme for tracking control of robot manipulators, ISA Trans., 142 (2023), 57–69. https://doi.org/10.1016/j.isatra.2023.08.008 doi: 10.1016/j.isatra.2023.08.008
![]() |
[30] | N. Kumar, K. S Chaudhary, Motion control of underactuated Cart-Double-Pendulum system Via fractional-order sliding mode controller, In: R. Kumar, A. K. Verma, O. P. Verma, T. Wadehra, Soft computing: theories and applications, SoCTA 2023, Lecture Notes in Networks and Systems, Springer, Singapore, 970 (2023), 155–165. https://doi.org/10.1007/978-981-97-2031-6_14 |
[31] |
I. Ahmad, A. A. Bakar, R. Jan, S. Yussof, Dynamic behaviors of a modified computer virus model: insights into parameters and network attributes, Alex. Eng. J., 103 (2024), 266–277. https://doi.org/10.1016/j.aej.2024.06.009 doi: 10.1016/j.aej.2024.06.009
![]() |
[32] | A. A. Khan, M. Ahsan, I. Ahmad, M. Alwuthaynani, Enhanced resolution in solving first-order nonlinear differential equations with integral condition: a high-order wavelet approach, Eur. Phys. J. Spec. Top., 2024, 1–14. https://doi.org/10.1140/epjs/s11734-024-01254-8 |
[33] |
A. Prakash, L. Mohan, Two efficient techniques for analysis and simulation of time-fractional Tricomi equation, Sādhanā, 49 (2024), 1–13. https://doi.org/10.1007/s12046-024-02482-3 doi: 10.1007/s12046-024-02482-3
![]() |
[34] |
I. Ali, I. Ahmad, Applications of the nonlinear Klein/Sinh-Gordon equations in modern physics: a numerical study, Math. Model. Control, 4 (2024), 361–373. https://doi.org/10.3934/mmc.2024029 doi: 10.3934/mmc.2024029
![]() |
[35] |
J. F. Li, I. Ahmad, H. Ahmad, D. Shah, Y. M. Chu, P. Thounthong, et al., Numerical solution of two-term time-fractional PDE models arising in mathematical physics using local meshless method, Open Phys., 18 (2020), 1063–1072. https://doi.org/10.1515/phys-2020-0222 doi: 10.1515/phys-2020-0222
![]() |
[36] |
F. Wang, I. Ahmad, H. Ahmad, M. D. Alsulami, K. S. Alimgeer, C. Cesarano, et al., Meshless method based on RBFs for solving three-dimensional multi-term time fractional PDEs arising in engineering phenomenons, J. King Saud Univ.-Sci., 33 (2021), 101604. https://doi.org/10.1016/j.jksus.2021.101604 doi: 10.1016/j.jksus.2021.101604
![]() |
[37] |
F. Wang, M. N. Khan, I. Ahmad, H. Ahmad, H. Abu-Zinadah, Y. M. Chu, Numerical solution of traveling waves in chemical kinetics: time-fractional Fishers equations, Fractals, 30 (2022), 2240051. https://doi.org/10.1142/S0218348X22400515 doi: 10.1142/S0218348X22400515
![]() |
[38] |
I. Ahmad, M. Ahsan, I. Hussain, P. Kumam, W. Kumam, Numerical simulation of PDEs by local meshless differential quadrature collocation method, Symmetry, 11 (2019), 394. https://doi.org/10.3390/sym11030394 doi: 10.3390/sym11030394
![]() |
[39] |
I. Ahmad, A. O. Alshammari, R. Jan, N. N. A. Razak, S. A. Idris, An efficient numerical solution of a multi-dimensional two-term fractional order PDE via a hybrid methodology: the Caputo–Lucas–Fibonacci approach with strang splitting, Fractal Fract., 8 (2024), 364. https://doi.org/10.3390/fractalfract8060364 doi: 10.3390/fractalfract8060364
![]() |
[40] |
M. N. Khan, I. Ahmad, M. Shakeel, R. Jan, Fractional calculus analysis: investigating Drinfeld-Sokolov-Wilson system and Harry Dym equations via meshless procedures, Math. Model. Control, 4 (2024), 86–100. https://doi.org/10.3934/mmc.2024008 doi: 10.3934/mmc.2024008
![]() |
[41] |
M. N. Khan, I. Ahmad, A. Akgül, H. Ahmad, P. Thounthong, Numerical solution of time-fractional coupled Korteweg–de Vries and Klein–Gordon equations by local meshless method, Pramana, 95 (2021), 1–13. https://doi.org/10.1007/s12043-020-02025-5 doi: 10.1007/s12043-020-02025-5
![]() |
[42] |
I. Ahmad, M. Ahsan, Z. Din, A. Masood, P. Kumam, An efficient local formulation for time–dependent PDEs, Mathematics, 7 (2019), 216. https://doi.org/10.3390/math7030216 doi: 10.3390/math7030216
![]() |
[43] |
G. Yao, Siraj-ul-Islam, B. Sarler, A comparative study of global and local meshless methods for diffusion-reaction equation, Comput. Model. Eng. Sci., 59 (2010), 127–154. https://doi.org/10.3970/cmes.2010.059.127 doi: 10.3970/cmes.2010.059.127
![]() |
[44] |
Siraj-ul-Islam, I. Ahmad, A comparative analysis of local meshless formulation for multi-asset option models, Eng. Anal. Bound. Elem., 65 (2016), 159–176. https://doi.org/10.1016/j.enganabound.2015.12.020 doi: 10.1016/j.enganabound.2015.12.020
![]() |
[45] | L. Mohan, A. Prakash, An efficient technique for solving fractional diffusion equations arising in oil pollution via natural transform, Waves Random Complex Media, 2023, 1–22. https://doi.org/10.1080/17455030.2023.2273323 |
[46] |
L. Mohan, A. Prakash, Stability and numerical analysis of fractional BBM-Burger equation and fractional diffusion-wave equation with Caputo derivative, Opt. Quant. Electron., 56 (2024), 26. https://doi.org/10.1007/s11082-023-05608-9 doi: 10.1007/s11082-023-05608-9
![]() |
[47] |
A. Prakash, L. Mohan, Application of Caputo fractional operator to analyse the fractional model of Brain Tumour via modified technique, Int. J. Appl. Comput. Math., 9 (2023), 117. https://doi.org/10.1007/s40819-023-01591-7 doi: 10.1007/s40819-023-01591-7
![]() |
[48] |
G. Jumarie, Stock exchange fractional dynamics defined as fractional exponential growth driven by (usual) Gaussian white noise. Application to fractional Black-Scholes equations, Insur.: Math. Econ., 42 (2008), 271–287. https://doi.org/10.1016/j.insmatheco.2007.03.001 doi: 10.1016/j.insmatheco.2007.03.001
![]() |
[49] |
M. Caputo, Linear models of dissipation whose Q is almost frequency independent-Ⅱ, Geophys. J. Int., 13 (1967), 529–539. https://doi.org/10.1111/j.1365-246X.1967.tb02303.x doi: 10.1111/j.1365-246X.1967.tb02303.x
![]() |
[50] |
A. Atangana, D. Baleanu, New fractional derivatives with non-local and nonsingular kernel theory and application to heat transfer model, Therm. Sci., 20 (2016), 763–769. https://doi.org/10.2298/TSCI160111018A doi: 10.2298/TSCI160111018A
![]() |
[51] |
J. H. He, Z. B. Li, Q. L. Wang, A new fractional derivative and its application to explanation of polar bear hairs, J. King Saud. Univ.-Sci., 28 (2016), 190–192. https://doi.org/10.1016/j.jksus.2015.03.004 doi: 10.1016/j.jksus.2015.03.004
![]() |
[52] |
Z. Z. Sun, X. Wu, A fully discrete difference scheme for a diffusion-wave system, Appl. Numer. Math., 56 (2006), 193–209. https://doi.org/10.1016/j.apnum.2005.03.003 doi: 10.1016/j.apnum.2005.03.003
![]() |
[53] |
S. A. Sarra, A local radial basis function method for advection–diffusion–reaction equations on complexly shaped domains, Appl. Math. Comput., 218 (2012), 9853–9865. https://doi.org/10.1016/j.amc.2012.03.062 doi: 10.1016/j.amc.2012.03.062
![]() |
[54] |
A. Q. M. Khaliq, D. A. Voss, K. Kazmi, Adaptive θ-methods for pricing American options, J. Comput. Appl. Math., 222 (2008), 210–227. https://doi.org/10.1016/j.cam.2007.10.035 doi: 10.1016/j.cam.2007.10.035
![]() |
[55] |
M. K. Kadalbajooa, A. Kumar, L. P. Tripathia, Application of local radial basis function based finite difference method for American option problems, Int. J. Comput. Math., 92 (2015), 1608–1624. https://doi.org/10.1080/00207160.2014.950571 doi: 10.1080/00207160.2014.950571
![]() |
[56] |
B. F. Nielsen, O. Skavhaug, A. Tveito, Penalty and front-fixing methods for the numerical solution of American option problems, J. Comput. Finance, 5 (2002), 69–97. https://doi.org/10.21314/JCF.2002.084 doi: 10.21314/JCF.2002.084
![]() |
[57] |
G. E. Fasshauer, A. Q. M. Khaliq, D. A. Voss, Using meshfree approximation for multi-asset American option problems, J. Chin. Inst. Eng., 27 (2004), 563–571. https://doi.org/10.1080/02533839.2004.9670904 doi: 10.1080/02533839.2004.9670904
![]() |
[58] |
C. S. Huang, C. H. Hung, S. Wang, A fitted finite volume method for the valuation of options on assets with stochastic volatilities, Computing, 77 (2006), 297–320. https://doi.org/10.1007/s00607-006-0164-4 doi: 10.1007/s00607-006-0164-4
![]() |
[59] |
C. S. Huang, C. H. Hung, S. Wang, On convergence of a fitted finite-volume method for the valuation of options on assets with stochastic volatilities, IMA J. Numer. Anal., 30 (2010), 1101–1120. https://doi.org/10.1093/imanum/drp016 doi: 10.1093/imanum/drp016
![]() |
[60] |
Z. Cen, J. Huang, A. Xu, A. Le, Numerical approximation of a time-fractional Black–Scholes equation, Comput. Math. Appl., 75 (2018), 2874–2887. https://doi.org/10.1016/j.camwa.2018.01.016 doi: 10.1016/j.camwa.2018.01.016
![]() |
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