EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 12, No. 2, 2019, 519-532 ISSN 1307-5543 – www.ejpam.com Published by New York Business Global General solution of linear partial differential equations modeling homogeneous diffusion-convection-reaction problems with Cauchy initial condition Minoungou Youssouf1, Bagayogo Moussa1, Youssouf Paré1,∗ 1 Département de Mathématiques, UFR/Sciences Exactes et Appliquées, Université Ouaga I Pr Joseph Ki-Zerbo, Ouagadougou, Burkina-Faso Abstract. In this paper, we propose the general solution of diffusion-convection-reaction homo- geneous problems with condition initial of Cauchy, using the SBA numerical method. This method is based on the combination of the Adomian Decompositional Method(ADM), the successive ap- proximations method and the Picard principle. 2010 Mathematics Subject Classifications: 47H14, 34G20, 47J25, 65J15 Key Words and Phrases: SBA method, Adomian Decompositional Method(ADM), homoge- neous Diffusion-convection-reaction problem. 1. Introduction Most physical, medical, biological,...,phenomena are modeled by integral equations, integro-differential equations, ordinary differential equations or by partial differential equa- tions. Generally it is very difficult, or impossible to determine their analytical solutions. In this paper, we propose a general solution of linear homogeneous diffusion, convection and reaction equations with Cauchy initial condition, using the SBA numerical method. 2. The numerical SBA method Let us consider the following fonctional equation: Au = f (1) Where A : H → H, is an operator not necessarly linear and H is a Hilbert space adequatly chosen given the operator A, f is given function and u the unnown function. ∗Corresponding author. DOI: https://doi.org/10.29020/nybg.ejpam.v12i2.3411 Email addresses: m.youl@yahoo.fr (Y. Minoungou), moussabagayogo94@gmail.com (M. Bagayogo) , pareyoussouf@yahoo.fr (Y. Paré) http://www.ejpam.com 519 c© 2019 EJPAM All rights reserved. Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 520 Let : A = L+R+N (2) Where L is an invertible operator in the Adomian ”sense”, R the linear remainder and N a nonlinear operator. The equation (2) therefore becomes : Lu+Ru+Nu = f ⇔ u = θ + L−1 (f)− L−1 (Ru)− L−1 (Nu) (3) Where θ is such that L (θ) = 0. The equation (3) is the Adomian canonical forme , using the successsive approximations [3] we get : uk = θ + L−1 (f)− L−1 ( Ruk ) − L−1 ( Nuk−1 ) ; k ≥ 1 (4) This yields the following Adomian algorithm [5]{ uk0 = θ + L−1 (f)− L−1 ( Nuk−1 ) ; k ≥ 1 ukn+1 = −L−1 ( Rukn ) ;n ≥ 0 (5) The Picard principle is then applied to the equation (5) let u0 be such that N ( u0 ) = 0, for k = 1, we get : { u10 = θ + L−1 (f) + L−1 ( Nu0 ) u1n+1 = −L−1 ( Ru1n ) ;n ≥ 0 (6) If the series ( +∞∑ n=0 u1n ) converges, then u1 = +∞∑ n=0 u1n. For k = 2, we get: { u20 = θ + L−1 (f) + L−1 ( Nu1 ) u2n+1 = L−1 ( Ru2n ) ;n ≥ 0 (7) If the series ( +∞∑ n=0 u2n ) converges, then u2 = +∞∑ n=0 u2n. This process is repeated to k. If the series ( +∞∑ n=0 ukn ) converges, then u2 = +∞∑ n=0 ukn, therefore u = lim k→+∞ uk is the solution of the equation (2) At each stape k ≥ 1 , we make sure that : N ( uk ) = 0. 2.1. A diffusion model Let us consider the following diffusion model Cauchy initial condition [1, 6] ∂u (t, x) ∂t = ε ∂2u (t, x) ∂x2 , 0 < ε� 1 u (0, x) = sinωx, ω > 0 (8) Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 521 where (t, x) ∈ Ω = [0,+∞[× R and u ∈ C2 (Ω) . Appliying the SBA method to (8) at the step k ≥ 0, we obtain the following algorithm [2, 4] (PSBA) :  uk0 (t, x) = sinωx ukn+1 (t, x) = ε ∫ t 0 ∂2ukn (s, x) ∂x2 ds, n ≥ 0 (9) Let us calculate the following terms: uk1 (t, x) , uk2 (t, x) , uk3 (t, x) , ... uk0 (t, x) = sinωx uk1 (t, x) = −εω2t sinωx uk2 (t, x) = ( εω2t )2 2! sinωx uk3 (t, x) = ( −εω2t )3 3! sinωx ... ... ukn (t, x) = ( −εω2t )n n! sinωx Then we obtain : uk (t, x) = sinωx +∞∑ n=0 ( −εω2t )n n! = exp ( −εω2t ) sinωx And the exact solution of (8) is ; u (t, x) = exp ( −εω2t ) sinωx Proposition 1. The exact solution of the following diffusion problem with Cauchy initial condition :  ∂u (t, x) ∂t = ε ∂2u (t, x) ∂x2 , ε > 0 u (0, x) = ϕ (αx) , α 6= 0 (10) is u (t, x) = exp ( −εα2t ) ϕ (αx) (11) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C2 (Ω), ϕ ∈ C2 (R) and ϕ verifie the relation : ϕ (x) = A cosx+B sinx, A, B ∈ R. (12) Proof. Let us consider u (t, x) = exp ( −εα2t ) ϕ (αx) . where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C2 (Ω), ϕ ∈ C2 (R) We obtain : ∂ ∂t exp ( −εα2t ) ϕ (αx)− ε ∂ 2 ∂x2 exp ( −εα2t ) ϕ (αx) = ( −εα2 ) ( ϕ (αx) + ϕ′′ (αx) ) exp ( −εα2t ) = 0 Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 522 ⇔ ϕ (αx) + ϕ′′ (αx) = 0 ⇔ ϕ (αx) = A cos (αx) +B sin (αx) Hence u (t, x) = exp ( −εα2t ) (A cos (αx) +B sin (αx)) and u (0, x) = ϕ (αx) Then u (t, x) = exp ( −εα2t ) (A cos (αx) +B sin (αx)) is the general solution of (10) with ϕ (αx) = A cos (αx) +B sin (αx) , A ∈ R, B ∈ R. 2.2. A convection model Let us consider the following convection model with Cauchy initial [6–8] ∂u (t, x) ∂t = λ ∂u (t, x) ∂x ;λ > 0 u (0, x) = cosαx;α 6= 0 (13) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C1 (Ω) et ϕ ∈ C1 (R) . Appliying the SBA method to (13) at the step k ≥ 0. We obtain the following algorithm : (PSBA) :  uk0 (t, x) = cosαx ukn+1 (t, x) = λ ∫ t 0 ∂ukn (s, x) ∂x ds, n ≥ 0 (14) Let us calculate the following terms: uk1 (t, x) , uk2 (t, x) , uk3 (t, x) , ...  uk0 (t, x) = cosαx uk1 (t, x) = −tαλ sinαx uk2 (t, x) = −(tαλ)2 2! cosαx uk3 (t, x) = (αλt)3 3! sinαx uk4 (t, x) = (αλt)4 4! cosαx uk5 (t, x) = −(αλt)5 5! sinαx uk6 (t, x) = −(αλt)6 6! cosαx ... uk2n (t, x) = (−1)n (αλt)2n (2n)! cosαx ; n ≥ 0 uk2n+1 (t, x) = − (−1) n (αλt)2n+1 (2n+ 1)! sinαx ; n ≥ 0 Then Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 523 uk (t, x) = lim n→+∞ cosαx m∑ n=0 (−1)n (αλt)2n (2n)! − lim n→+∞ sinαx m∑ n=0 (−1)n (αλt)2n+1 (2n+ 1)! We obtain the exact solution of the problem (13) u (t, x) = cos (α (x+ λt)) . (15) Proposition 2. The exact solution of the following convection model with Cauchy initial condition  ∂u (t, x) ∂t = λ ∂u (t, x) ∂x , ε > 0, λ > 0 u (0, x) = ϕ (αx) (16) is u (t, x) = ϕ (α (x+ λt)) (17) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C1 (Ω), ϕ ∈ C1 (R) . Proof. Let us consider u (t, x) = ϕ (α (x+ λt)). We obtain : ∂ ∂t ϕ (α (x+ λt))− λ ∂ ∂x ϕ (α (x+ λt)) = αλϕ′ (α (x+ λt))− αλϕ′ (α (x+ λt)) = 0 ∀ϕ ∈ C2 (R) and u (0, x) = ϕ (αx) In this case, it is necessary and sufficient that the function ϕ ∈ C1 (R). Hence u (t, x) = ϕ (α (x+ λt)) is the general solution of (16). 2.3. A reaction model Let us consider the following reaction model Cauchy type [6] ∂u (t, x) ∂t = γu (t, x) , γ > 0 u (0, x) = sinαx (18) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C1 (Ω) et ϕ ∈ C1 (R) . Appliying the SBA algorithm to (18) at the step k ≥ 0, we obtain the following algorithm : (PSBA) :  uk0 (t, x) = sinαx ukn+1 (t, x) = γ ∫ t 0 ukn (s, x) ds, n ≥ 0 (19) Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 524 Let us calculate the following terms: uk1 (t, x) , uk2 (t, x) , uk3 (t, x) , ... uk0 (t, x) = sinαx uk1 (t, x) = γt sinαx uk2 (t, x) = (γt)2 2! sinαx uk3 (t, x) = (γt)3 3! sinαx uk4 (t, x) = (γt)4 4! sinαx uk5 (t, x) = (γt)5 5! sinαx ... ... ukn (t, x) = (γt)n n! sinαx uk (t, x) = uk0 (t, x) + uk1 (t, x) + uk2 (t, x) + ... uk (t, x) = sinαx +∞∑ n=0 (γt)n n! Then uk (t, x) = exp (γt) sinαx we obtain the exact solution of the problem (18) u (t, x) = exp (γt) sinαx (20) Proposition 3. The exact solution of the following reaction problem Cauchy type: ∂u (t, x) ∂t = γu (t, x) , γ > 0 u (0, x) = ϕ (αx) , α 6= 0 (21) is u (t, x) = exp (γt)ϕ (αx) (22) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C1 (Ω), ϕ ∈ C1 (R) . Proof. Let us consider u (t, x) = exp (γt)ϕ (αx), we obtain : ∂ ∂t exp (γt)ϕ (αx)− γ exp (γt)ϕ (αx) = exp (γt) (γ − γ)ϕ (αx) = 0 and u (0, x) = ϕ (αx) ⇐⇒ ∀ϕ ∈ C1 (R) . In this case,it is necessary and sufficient that the function ϕ ∈ C1 (I) and I ⊂ R or I = R , hence the general solution of (21) is u (t, x) = exp (γt)ϕ (αx) . Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 525 2.4. A diffusion-convection model Let us consider the following type of Cauchy linear equation : (D) :  ∂u (t, x) ∂t = ε ∂2u (t, x) ∂x2 + λ ∂u (t, x) ∂x ; 0 < ε� 1, λ > 0, t > 0, x ∈ R u (0, x) = sinx Applying the algorithm SBA to (D) , we have : (PSBA) :  uk0 (t, x) = sinx ukn+1 (t, x) = ∫ t 0 ( ε ∂2ukn (s, x) ∂x2 + λ ∂ukn (s, x) ∂x ) ds ; n ≥ 0 (23) Let us determinate the following terms: uk0 (t, x) , uk1 (t, x) , uk2 (t, x) , uk3 (t, x) , ..., ukn (t, x) .  uk0 (t, x) = sinx uk1 (t, x) = tλ cosx− tε sinx uk2 (t, x) = 1 2! (sinx) t2λ2 − (cosx) t2λε+ 1 2! (sinx) t2ε2 uk3 (t, x) = −1 6 (cosx) t3λ3 + 1 2 (sinx) t3λ2ε+ 1 2 (cosx) t3λε2 − 1 6 (sinx) t3ε3 uk4 (t, x) = 1 4! (sinx) t4λ4 + 1 3! (cosx) t4λ3ε− 1 4 (sinx) t4λ2ε2− 1 3! (cosx) t4λε3 + 1 4! (sinx) t4ε4 uk5 (t, x) = 1 120 (cosx) t5λ5 − 1 24 (sinx) t5λ4ε− 1 12 (cosx) t5λ3ε2+ 1 12 (sinx) t5λ2ε3 + 1 24 (cosx) t5λε4 − 1 120 (sinx) t5ε5 uk6 (t, x) = 1 720 (sinx) t6λ6 − 1 120 (cosx) t6λ5ε+ 1 48 (sinx) t6λ4ε2 + 1 36 (cosx) t6λ3ε3− 1 48 (sinx) t6λ2ε4 − 1 120 (cosx) t6λε5 + 1 720 (sinx) t6ε6 ... Step by step, we then deduct : Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 526  uk (t, x) ' sinx ( 1− εt+ (εt)2 2! −−(εt)3 3! + ... ) −(λt)2 2! sinx ( 1− εt+ (εt)2 2! −−(εt)3 3! + ... ) + (λt)4 4! sinx ( 1− εt+ (εt)2 2! − (εt)3 3! + ... ) −(λt)6 6! sinx ( 1− εt+ (εt)2 2! −−(εt)3 3! + ... ) ... ... +λt cosx ( 1− εt+ (εt)2 2! −−(εt)3 3! + ... ) −(λt)3 3! cosx ( 1− εt+ (εt)2 2! −−(εt)3 3! + ... ) + (λt)5 5! cosx ( 1− εt+ (εt)2 2! −−(εt)3 3! + ... ) ... ... Then, we obtain  uk (t, x) ' sinx ( 1− εt+ (εt)2 2! − (εt)3 3! + ... )( 1− (λt)2 2! + (λt)4 4! + ... ) + cosx ( 1− εt+ (εt)2 2! −−(εt)3 3! + ... )( λt− (λt)3 3! + (λt)5 5! − ... ) In a recurcive way, we obtain : uk (t, x) = lim n→+∞ sinx n∑ p=0 (−εt)p p! n∑ p=0 (−1)p (λt)2p (2p)! + cosx n∑ p=0 (−εt)p p! n∑ p=0 (−1)p (λt)2p+1 (2p+ 1)! Therefore, we get uk (t, x) = exp (−εt) (sinx cosλt+ sinλt cosx) . ⇒ uk (t, x) = exp (−εt) sin (x+ λt) So, the exact solution exact of (D) is u (t, x) = exp (−εt) sin (x+ λt) . Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 527 Proposition 4. The exact solution of the following reaction problem Cauchy type: (P4) :  ∂u (t, x) ∂t = ε ∂2u (t, x) ∂x2 + λ ∂u (t, x) ∂x ; 0 < ε� 1, λ > 0, t > 0, x ∈ R u (0, x) = ϕ (x) is u (t, x) = exp (−εt)ϕ (x+ λt) (24) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C2 (Ω), ϕ ∈ C2 (R) . Proof. Let us consider u (t, x) = exp (−εt)ϕ (x+ λt) We obtain : ∂ ∂t exp (−εt)ϕ (x+ λt)− ε ∂ 2 ∂x2 exp (−εt)ϕ (x+ λt)− λ ∂ ∂x exp (−εt)ϕ (x+ λt) = exp (−εt) ( −εϕ (x+ λt) + λϕ′ (x+ λt)− εϕ′′ (x+ λt)− λϕ′ (x+ λt) ) = 0 ⇒ ϕ′′ (x+ λt) + ϕ (x+ λt) = 0 ⇒ ϕ (x+ λt) = A cos (x+ λt) +B sin (x+ λt) where A, B ∈ R and u (0, x) = ϕ (x) ⇐⇒ ∀ϕ ∈ C1 (R) In this case, it is necessary and sufficient that the function ϕ ∈ C1 (I) where I ⊂ R or I = R, hence the general solution of (P4) is u (t, x) = exp (γt)ϕ (αx) . 2.5. A reaction model Proposition 5. The exact solution of the following reaction problem Cauchy type: (E)  ∂u (t, x) ∂t = γu (t, x) , γ > 0 u (0, x) = ϕ (αx) , α 6= 0 (25) is u (t, x) = exp (γt)ϕ (αx) (26) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C1 (Ω), ϕ ∈ C1 (R) . Proof. Let us consider u (t, x) = exp (γt)ϕ (αx). We obtain : ∂ ∂t exp (γt)ϕ (αx)− γ exp (γt)ϕ (αx) = exp (γt) (γ − γ)ϕ (αx) = 0 and u (0, x) = ϕ (αx) ⇐⇒ ∀ϕ ∈ C1 (I) where I ⊂ R or I = R In this case,it is necessary and sufficient that the function ϕ ∈ C1 (I) where I ⊂ R or I ⊂ R, hence the general solution of (E) is u (t, x) = exp (γt)ϕ (αx) . Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 528 2.6. A diffusion-reaction model Let us consider the following diffision-reaction problem Cauchy type: (F )  ∂u (t, x) ∂t = ε ∂2u (t, x) ∂x2 + γu (t, x) , 0 < ε� 1, γ > 0 u (0, x) = sinαx, α 6= 0 (27) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C2 (Ω) et ϕ ∈ C2 (R) . Appliying the SBA method at the step k ≥ 0, we obtain the following algorithm : (PSBA) :  uk0 (t, x) = sinαx ukn+1 (t, x) = ε ∫ t 0 ∂2u (s, x) ∂x2 ds+ γ ∫ t 0 ukn (s, x) ds; n ≥ 0 (28) Let us calculate some terms: We obtain at the same way : uk (t, x) = exp (( γ − εα2 ) t ) (sinαx cosαλt+ cosαx sinαλt) we obtain the exact solution of the problem (F ) : u (t, x) = exp (( γ − εα2 ) t ) sinα (x+ λt) (29) Proposition 6. The exact solution of the following diffision-reaction problem Cauchy type (P6)  ∂u (t, x) ∂t = ε ∂2u (t, x) ∂x2 + γu (t, x) ; ε > 0, λ > 0 u (0, x) = ϕ (αx) (30) is u (t, x) = exp (( γ − εα2 ) t ) ϕ (α (x+ λt)) (31) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C2 (Ω), ϕ ∈ C2 (R) and ϕ verifie the relation : ϕ (x) = A cosx+B sinx; A, B ∈ R (32) Proof. Let us consider u (t, x) = exp ( −εα2t ) ϕ (α (x+ λt)) . We obtain : ∂ ∂t exp ( −εα2t ) ϕ (α (x+ λt))− ε ∂ 2 ∂x2 exp ( −εα2t ) ϕ (α (x+ λt)) −λ ∂ ∂x exp ( −εα2t ) ϕ (α (x+ λt)) = exp ( −εα2t ) ( −εα2ϕ (α (x+ λt)) + αλϕ′ (α (x+ λt)) −εα2ϕ′′ (α (x+ λt))− λαϕ′ (α (x+ λt)) ) Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 529 = 0 ⇔ ϕ (α (x+ λt)) + ϕ′′ (α (x+ λt)) = 0 ⇒ ϕ (α (x+ λt)) = A cos (α (x+ λt)) +B sin (α (x+ λt)) , A, B ∈ R Hence the general solution of (P6) is of the form : u (t, x) = exp ( −εα2t ) ϕ (α (x+ λt)), with ϕ (α (x+ λt)) = A cos (α (x+ λt)) +B sin (α (x+ λt)) and u (0, x) = ϕ (αx) . 2.7. A diffusion-convection-reaction problem Cauchy type Let us consider the following diffision-convection-reaction problem Cauchy type: (H)  ∂u (t, x) ∂t = ε ∂2u (t, x) ∂2x + λ ∂u (t, x) ∂x + γu (t, x) , ε > 0, λ > 0, γ > 0 u (0, x) = sinαx (33) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C2 (Ω) et ϕ ∈ C2 (R) . Appliying the SBA method at the step k ≥ 0, we obtain the following algorithm : (PSBA) :  uk0 (t, x) = sinαx ukn+1 (t, x) = ε ∫ t 0 ∂2u (s, x) ∂2x ds+ λ ∂u (t, x) ∂x + γ ∫ t 0 ukn (s, x) ds, n ≥ 0 (34) Let us calculate the following terms: uk1 (t, x) , uk2 (t, x) , uk3 (t, x) , ... Let us consider the following Cauchy linear equation : (P3) :  ∂u (t, x) ∂t = ε ∂u (t, x) ∂x + µu (t, x) ; 0 < ε� 1, µ > 0, t > 0, x ∈ R u (0, x) = cosx Applying the algorithm SBA to (P3) , we have : PSBA :  uk0 (t, x) = cosx ukn+1 (t, x) = ∫ t 0 ( ε ∂ukn (s, x) ∂x + µukn (s, x) ) ds ; n ≥ 0 (35) Let us calculate the following terms : Y. Minoungou, M. Bagayogo, Y. Paré / Eur. J. Pure Appl. Math, 12 (2) (2019), 519-532 530 uk0 (t, x) , uk1 (t, x) , uk2 (t, x) , uk3 (t, x) , uk4 (t, x) , uk5 (t, x) , ... uk0 (t, x) = cosx uk1 (t, x) = tµ cosx− tε sinx uk2 (t, x) = (tµ)2 2 cosx− µεt2 sinx− (tε)2 2 cosx uk3 (t, x) = (tµ)3 6 cosx− 1 2 t3µ2ε sinx− 1 2 t3µε2 cosx+ (tε)3 6 sinx uk4 (t, x) = (tµ)4 24 cosx− 1 6 t4µ3ε sinx− 1 4 t4µ2ε2 cosx+ 1 6 t4µε3 sinx+ (tε)4 24 cosx uk5 (t, x) = (tµ)5 120 cosx− 1 24 t5µ4ε sinx− 1 12 t5µ3ε2 (cosx) + 1 12 t5µ2ε3 sinx+ 1 24 t5µε4 cosx− (tε)5 120 sinx ... Step by step, we then deduct uk (t, x) ' ( 1− (εt)2 2 + (εt)4 4! − ... )( 1 + µt+ (µt)2 2! + (µt)3 3! + ... ) cosx−( εt− (εt)3 3! + (εt)5 5! − .. )( 1 + µt+ (µt)2 2! + (µt)3 3! + ... ) sinx In a recurcive way, we otain: uk (t, x) = lim n→+∞ n∑ p=0 (−1)p (εt)2p (2p)! n∑ p=0 (µt)p p! cosx+ n∑ p=0 (−1)p (εt)2p+1 (2p+ 1)! n∑ p=0 (µt)p p! sinx then,we get : uk (t, x) = exp (µt) cos (εt+ x) And the exact solution of (P3) is u (t, x) = lim k→+∞ uk (t, x) = exp (µt) cos (εt+ x) Proposition 7. The exact solution of the following diffision-convection problem Cauchy type (P7)  ∂u (t, x) ∂t = ε ∂2u (t, x) ∂2x + λ ∂u (t, x) ∂x + γu (t, x) , ε > 0, λ > 0, γ > 0 u (0, x) = ϕ (αx) (36) REFERENCES 531 is u (t, x) = exp (( γ − εα2 ) t ) ϕ (α (x+ λt)) (37) where (t, x) ∈ Ω = [0,+∞[× R, u ∈ C2 (Ω), ϕ ∈ C2 (R) and ϕ verifie the relation : ϕ (x) = A cosx+B sinx, A, B ∈ R (38) Proof. Let us consider u (t, x) = exp (( γ − εα2 ) t ) ϕ (α (x+ λt)) We get : ∂ exp (( γ − εα2 ) t ) ϕ (α (x+ λt)) ∂t − ε ∂2 exp (( γ − εα2 ) t ) ϕ (α (x+ λt)) ∂2x − λ ∂ exp (( γ − εα2 ) t ) ϕ (α (x+ λt)) ∂x − γ exp (( γ − εα2 ) t ) ϕ (α (x+ λt)) = exp (( γ − εα2 ) t ) [( γ − εα2 ) ϕ (α (x+ λt)) + αλϕ′ (α (x+ λt)) ] + exp (( γ − εα2 ) t ) [ εα2ϕ′′ (α (x+ λt))− λαϕ′ (α (x+ λt))− γϕ (α (x+ λt)) ] = 0 ⇒ εα2 (ϕ′′ (α (x+ λt)) + ϕ (α (x+ λt))) ∗ 0 ⇒ ϕ′′ (α (x+ λt)) + ϕ (α (x+ λt)) = 0 or ϕ′′ (x) + ϕ (x) = 0 ⇒ ϕ (x) = A cosx+B sinx;A,B ∈ R And u (0, x) = ϕ (αx) . 3. Conclusion The SBA numerical method permitted us to resolve a few linear partial differential equations modelling diffusion, convection, reaction problems Cauchy type. The SBA method pemitted us to resolve the problems proposed in this paper. It is then a very powerful numerical tool of analysis for the resolution of these Kinds of problems. References [1] K. Abbaoui and Yves Cherruault. The decomposition method applied to the cauchy problem. Kybernetes, 28(1):68–74, 1999. [2] Bonazebi.J.Yendoula Pare Youssouf Bissanga.G Bassono.F and Some. B. Application of the adomian decomposition method (adm) and the some blaise abbo(sba) method to solving the diffusion-reaction equations. Advances in Theoritical and Applied Math- ematics, 9(2):97–104, 2014. [3] Bakari Abbo N. Ngarasta B.Mampassi B.Some and Longin Some. A new approach of the adomian algoritm for solving nonlinear ordinary or partial differential equations. Far East.J. Math., 23(3):299–312, 2006. [4] Pare Youssouf Yaro Rasmane Elysée Gouba and Some Blaise. Solving a system of nonlinear equations second kind of volterra by the sba method. Far East.J.Appl.Math, 71(1):43–84, 2012. REFERENCES 532 [5] K.Abbaoui and Yves Cherruault. Convergence of the adomian method applied to the nonlinear equations. Math. Comput. Modelling, 20(9):60–73, 1994. [6] K. Abbaoui N.Ngarasta, B.Some and Yves Cherruault. New numerical study of ado- mian method applied to a diffusion model. Kybernetes, 31(1):61–75, 2002. [7] Wazwaz.A.M. Partial differential equations and applications. Netherland Balkema Publisher, 2002. [8] M.Bagayogo Y.Pare and Y. Minoungou. An approached solution of wave equation cubic damping by homotopy perturbation method (hpm), regular perturbation method(rpm) and adomian decomposition method (adm). J.Math.Res., 31(2):166–181, 2018.