EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 14, No. 3, 2021, 942-948 ISSN 1307-5543 – ejpam.com Published by New York Business Global Tensor Product and Certain Solutions of Fractional Wave Type Equation Ibtissem Benkemache1, Mohammed Al Horani1, Roshdi Khalil1,∗ 1 Department of Mathematics, School of Science, The University of Jordan, Amman, Jordan Abstract. In this paper we find certain solutions of some fractional partial differential equations. Tensor product of Banach spaces is used to find some solutions where separation of variables does not work. We solve the fractional wave type equation using fractional Fourier series 2020 Mathematics Subject Classifications: 26A33 Key Words and Phrases: Conformable derivative, fractional Fourier series, fractional wave type equation. 1. Introduction In [7], a definition of the so-called α−conformable fractional derivative was introduced: Let α ∈ (0, 1), and f : E ⊆ (0,∞)→ R. For x ∈ E, let: Dαf(x) = lim ε→0 f(x+ εx1−α)− f(x) ε . If the limit exists, then it is called the α−conformable fractional derivative of f at x. If f is α−differentiable on (0, r) for some r > 0, and lim x→0+ Dαf(x) exists then we define Dαf(0) = lim x→0 Dαf(x). For α ∈ (0, 1] and f, g are α−differentiable at a point t, one can easily see that the con- formable derivative satisfies: 1. Dα(af + bg) = aDα(f) + bDα(g), for all a, b ∈ R. 2. Dα(λ) = 0, for all constant functions f(t) = λ. 3. Dα(fg) = fDα(g) + gDα(f). ∗Corresponding author. DOI: https://doi.org/10.29020/nybg.ejpam.v14i3.4012 Email addresses: ibtissem19932017@gmail.com (I. Benkemache), horani@ju.edu.jo (M. Al Horani), roshdi@ju.edu.jo (R. Khalil) http://www.ejpam.com 942 © 2021 EJPAM All rights reserved. I. Benkemache, M. Al Horani, R. Khalil / Eur. J. Pure Appl. Math, 14 (3) (2021), 942-948 943 4. Dα(fg ) = gDα(f)−fDα(g) g2 , g(t) 6= 0. We list here the fractional derivatives of certain functions, (i) Dα(tp) = p tp−α . (ii) Dα(sin 1 α t α) = cos 1 α t α. (iii) Dα(cos 1 α t α) = − sin 1 α t α. (iv) Dα(e 1 α tα) = e 1 α tα . On letting α = 1 in these derivatives, we get the corresponding classical rules for ordi- nary derivatives. Further, one should notice that a function could be α−conformable differ- entiable at a point but not differentiable, for example, take f(t) = 2 √ t, then D 1 2 (f)(0) = 1. This is not the case for the known classical fractional derivatives, since D1(f)(0) does not exist. For more on fractional calculus and its applications we refer to [7]-[6]. Many differential equations can be transformed to fractional form and can have many applications in many branches of science. The main technique to solve partial differential equations is using Fourier series. So, fractional Fourier series was introduced in [3]. Such a concept proved to be very fruitful in solving fractional partial differential equations. In this paper we will use fractional Fourier series to solve a fractional wave type equa- tion. In Section 2 we introduce the atomic solution. The complete solution is given in Section 3. 2. Atomic solution Let X and Y be two Banach spaces and X∗ be the dual of X. Assume x ∈ X and y ∈ Y. The operator T : X∗ → Y, defined by T (x∗) = x∗(x)y is a bounded one rank linear operator. We write x⊗y for T. Such operators are called atoms. Atoms are among the main ingredient in the theory of tensor products. Atoms are used in theory of best approximation in Banach spaces, see [2]. One of the known results, see [4], that we need in our paper is that: If the sum of two atoms is an atom, then either the first components are dependent or the second ones are dependent. For more on tensor products of Banach spaces, we refer to [4]. Let us write Dα xu to mean the partial α−derivative of u with respect to x. Further we write D2α x u to mean Dα xD α xu. Similarly for derivatives with respect to y. If f is a function of one variable, say x , we write fα, f2α to denote Dα xf and D2α x f respectively. I. Benkemache, M. Al Horani, R. Khalil / Eur. J. Pure Appl. Math, 14 (3) (2021), 942-948 944 Our main object in this section is to find an atomic solution of the equation D2α x D2β y u+Dα xD β yu = 2u , (1) where by an atomic solution we mean a solution of the form u(x, y) = P (x)Q(y). Remark 1. One should remark that not every linear partial differential equation (frac- tional or not) can be solved using separation of variables. In such a case, the concept of atomic solution is inevitable. In equation (1), the method of separation of variables is not possible though the equation is linear. Hence we try to find an atomic solution of this equation. In other words, we look for a solution of the form u(x, y) = P (x)Q(y). Procedure Let u(x, y) = P (x)Q(y). Substitute in equation (1) to get: P 2α(x)Q2β(y) + Pα(x)Qβ(y) = 2P (x)Q(y). This can written in tensor product form as: P 2α ⊗Q2β + Pα ⊗Qβ = P ⊗ 2Q . (2) Let us consider the following conditions : P (0) = 0, Pα(0) = 1. In equation (2), we have the situation: the sum of two atoms is an atom. Hence we have two cases: Case(i): P 2α = Pα. Using the result in [5], we get P (x) = e xα α . (3) Now, we substitute in (2) to get ex ⊗ [Q2β +Qβ] = ex ⊗Q . Hence, Q2β +Qβ = 2Q. Again, using the result in [5], Q(y) = c1e −2 y β β + c2e yβ β Using the conditions Q(0) = Qβ(0) = 1, we get Q(y) = −1 3 e −2 y β β + 1 3 e yβ β . (4) From (3) and (4), we obtain the atomic solution of (1) as: u(x, y) = e xα α (−1 3 e −2 y β β + 1 3 e yβ β ) . (5) I. Benkemache, M. Al Horani, R. Khalil / Eur. J. Pure Appl. Math, 14 (3) (2021), 942-948 945 One can easily check that the atom u in (5) satisfies (1). Case (ii): Q2β = Qβ. Following the same steps as in case (i), we find the atomic solution in the form u(x, y) = (−1 3 e−2 xα α + 1 3 e xα α )e yβ β 3. Complete Solution Consider the fractional partial differential equation D2β x u− c2D2α y u = Dα y u (6) with conditions u(x, 0) = f(x) , u(x, 1) = 0, u(L, y) = 0, u(0, y) = 0 , 0 < α, β < 1. Here c is a given constant. This is called fractional wave type equation. We will use fractional Fourier series and separation of variables to solve equation (6). Remark 2. One may attempt to use change of variables to transform it to an ordinary partial differential equation. This is possible if in equation (1) and (6), the function u is u = u(x α α , yα α ). But the function u in equations in (1) and (6) is u = u(x, y). So any change of variables will not simplify the problem. Further, the partial derivatives of u: ux and uy need not to be exist even if Dα xu and Dα y u exist, see [7]. Let u(x, y) = P (x)Q(y) . Substitute in the equation (6) to get P 2β(x)Q(y)− c2P (x)Q2α(y) = P (x)Qα(y) . Simplifying to get P 2β(x)Q(y)− c2P (x)Q2α(y)− P (x)Qα(y) = 0 , P 2β(x)Q(y)− P (x) ( c2Q2α(y) +Qα(y) ) = 0 , P 2β(x)Q(y) = P (x) ( c2Q2α(y) +Qα(y) ) . From which we obtain P 2β(x) P (x) = c2Q2α(y) +Qα(y) Q(y) = λ . Since x and y are independent variables, then we get P 2β(x) P (x) = λ I. Benkemache, M. Al Horani, R. Khalil / Eur. J. Pure Appl. Math, 14 (3) (2021), 942-948 946 and c2Q2α(y) +Qα(y) Q(y) = λ . Simplifying to get P 2β(x)− λP (x) = 0 (7) and c2Q2α(y) +Qα(y)− λQ(y) = 0 . (8) Let us first deal with equation (7). There are three possibilities for λ: Case 1: λ = 0 Then equation (7) becomes P 2β(x) = 0. Using the result in [1], we see that P (x) = c1 xβ β + c2. By using the condition u(0, y) = 0, we get c2 = 0. Another use of condition u(L, y) = 0 we get c1 = 0. So, P (x) = 0. Thus λ = 0 gives the trivial solution. Case 2: λ = µ2 > 0 Then equation (7) becomes P 2β(x) = µ2P (x) . Using the result in [5], we see that P (x) = c1e µx β β + c2e −µx β β . Using the condition u(0, y) = 0, we get c1 = −c2. So, P (x) = 2c1 sinh(µx β β ). Another use of condition u(L, y) = 0 we get 2c1 sinh(µL β β ) = 0. Hence, c1 6= 0 and so µ = 0. Thus, P (x) = 0. Therefore λ > 0 gives the trivial solution. Case 3: λ = −µ2 < 0 Then equation (7) becomes P 2β(x) + µ2P (x) = 0 . Using results in [5], we get P (x) = c1 cos(µ xβ β ) + c2 sin(µ xβ β ). Applying the condition u(0, y) = 0 we get c1 = 0. So, P (x) = c2 sin(µx β β ). Another use of condition u(L, y) = 0 gives c2 sin(µL β β ) = 0. Then c2 6= 0 and so sin(µL β β ) = 0. Hence, µ = nπ β Lβ . (9) So, P (x) = cn sin(nπ xβ Lβ ) , n = 1, 2, ... . (10) I. Benkemache, M. Al Horani, R. Khalil / Eur. J. Pure Appl. Math, 14 (3) (2021), 942-948 947 Now, we go back to equation (8). Substituting the value of µ that we got in (9), equation (8) becomes c2Q2α(y) +Qα(y) + µ2Q(y) = 0 . Another use of the result in [5], we get two cases under consideration: Case i: 1− 4µ2c2 > 0. µ2 < 1, | µ |< 1, 1− 4µ2c2 = ( √ 1− 4µ2c2)2. Then we get, r = −1± √ 1− 4µ2c2 2c2 . So Q(y) = c1e −1+ √ 1−4µ2c2 2c2 yα α + c2e −1− √ 1−4µ2c2 2c2 yα α . Using condition u(x, 0) = 0, we get c1 = −c2. So, Q(y) = 2c1 sinh ( −1 + √ 1− 4µ2c2 2c2 yα α ) . (11) Thus, combining (10) and (11) we get: u(x, y) = ∞∑ n=1 bn sin ( nπ xβ Lβ ) sinh −1 + √ 1− 4(nβπ Lβ )2c2 2c2 yα α  . By using Dβ y (x, 0) = f(x) we get f(x) = ∞∑ n=1 bn −1 + √ 1− 4(nβπ Lβ )2c2 2c2  sin ( nπ xβ Lβ ) . So bn = 2β P β ( −1+ √ 1−4(nβπ Lβ )2c2 2c2 ) ∫ P 0 f(x) sin ( nπ xβ Lβ ) dx x1−β . Case ii: 1− 4µ2c2 < 0. µ2 > 1, | µ |> 1, 1− 4µ2c2 = −(4µ2c2 − 1) = ( √ 4µ2c2 − 1 2 ) . Then we get, r = −1± i √ 4µ2c2 − 1 2c2 . So Q(y) = c1 cos ( −1 + √ 4µ2c2 − 1 2c2 yα α ) + c2 sin ( −1 + √ 4µ2c2 − 1 2c2 yα α ) REFERENCES 948 By using condition u(x, 0) = 0 we get c1 = 0. Then, Q(y) = c2 sin ( −1 + √ 4µ2c2 − 1 2c2 yα α ) . (12) Thus, (10) and (12) gives u(x, y) = ∞∑ n=1 bn sin ( nπ xβ Lβ ) sin ( −1 + √ 4µ2c2 − 1 2c2 yα α ) . (13) By using condition uy(x, 0) = f(x) we deduce that f(x) = ∞∑ n=1 bn −1 + √ 4(nβπ Lβ )2c2 − 1 2c2  sin ( nπ xβ Lβ ) . Hence, using [3], we find bn = 2β P β ( −1+ √ 4(nβπ Lβ )2c2−1 2c2 ) ∫ P 0 f(x)sin(nπ xβ Lβ ) dx x1−β where P is a period of the function f which equals to (2βπ) 1 β . So we got the complete solution of the differential equations (6). References [1] T. Abdeljawad. On conformable fractional calculus. Journal of computational and Applied Mathematics, 259:57–66, 2015. [2] W. Deeb and R. Khalil. Best approximation in l(x; y ). Mathematical Proceedings of the Cambridge Philosophical Society, 104:527–531, 1988. [3] M. Abu Hammad and R. Khalil. Fractional Fourier Series with Applications. American Journal of Computational and Applied Mathematics, 4(6):187–191, 2014. [4] R. Khalil. Isometries of lp ∗ ∧ ⊗lp. Tam. J. Math., 16:77–85, 1985. [5] R. Khalil M. 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