Hindawi Publishing Corporation Abstract and Applied Analysis Volume 2011, Article ID 908491, 16 pages doi:10.1155/2011/908491 Research Article On the Convolution Equation Related to the Diamond Klein-Gordon Operator Amphon Liangprom1 and Kamsing Nonlaopon1, 2 1 2 Department of Mathematics, Khon Kaen University, Khon Kaen 40002, Thailand Centre of Excellence in Mathematics, CHE, Si Ayutthaya Road, Bangkok 10400, Thailand Correspondence should be addressed to Kamsing Nonlaopon, nkamsi@kku.ac.th Received 11 July 2011; Revised 3 August 2011; Accepted 31 August 2011 Academic Editor: Elena Braverman Copyright q 2011 A. Liangprom and K. Nonlaopon. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. k k We study the distribution eαx ♦ m2 δ for m ≥ 0, where ♦ m2 is the diamond Klein-Gordon operator iterated k times, δ is the Dirac delta distribution, x x1 , x2 , . . . , xn is a variable in k Rn , and α α1 , α2 , . . . , αn is a constant. In particular, we study the application of eαx ♦ m2 δ for solving the solution of some convolution equation. We find that the types of solution of such convolution equation, such as the ordinary function and the singular distribution, depend on the relationship between k and M. 1. Introduction The n-dimensional ultrahyperbolic operator k iterated k times is defined by ⎞k 2 2 2 2 2 2 ∂ ∂ ∂ ∂ ∂ ∂ k ⎝ 2 2 · · · 2 − 2 − 2 − · · · − 2 ⎠ , ∂x1 ∂x2 ∂xp ∂xp1 ∂xp2 ∂xpq ⎛ 1.1 where p q n is the dimension of Rn , and k is a nonnegative integer. We consider the linear differential equation of the form k ux fx, where ux and fx are generalized functions, and x x1 , x2 , . . . , xn ∈ Rn . 1.2 2 Abstract and Applied Analysis Gelfand and Shilov 1 have first introduced the fundamental solution of 1.2, which x was initially complicated. Later, Trione 2 has shown that the generalized function RH 2k defined by 2.2 with γ 2k is the unique fundamental solution of 1.2. Tellez 3 has also x exists only when n p q with odd p. proved that RH 2k Kananthai 4 has first introduced the operator ♦k called the diamond operator iterated k times, which is defined by ⎡ ⎞2 ⎤k 2 ⎛ pq p 2 2 ∂ ∂ ⎠⎥ ⎢ −⎝ ♦k ⎣ ⎦ , 2 2 i1 ∂xi jp1 ∂xj 1.3 where n p q is the dimension of Rn , for all x x1 , x2 , . . . , xn ∈ Rn and nonnegative integers k. The operator ♦k can be expressed in the form ♦k k k k k , 1.4 where k is defined by 1.1, and k is the Laplace operator iterated k times defined by k ∂2 ∂2 ∂2 2 ··· 2 2 ∂x1 ∂x2 ∂xn k . 1.5 Note that in case k 1, the generalized form of 1.5 is called the local fractional Laplace operator; see 5 for more details. On finding the fundamental solution of this product, he uses the convolution of functions which are fundamental solutions of the operators k and k . He found that the convolution −1k Re2k x ∗ RH x is the fundamental solution of the 2k operator ♦k , that is, δ, ♦k −1k Re2k x ∗ RH x 2k 1.6 where RH x and Re2k x are defined by 2.2 and 2.7, respectively with γ 2k, and δ 2k x is called the is the Dirac-delta distribution. The fundamental solution −1k Re2k x ∗ RH 2k diamond kernel of Marcel Riesz. A number of effective results on the diamond kernel of Marcel Riesz have been presented by Kananthai 6–12. In 1997, Kananthai 13 has studied the properties of the distribution eαx k δ and the application of the distribution eαx k δ for finding the fundamental solution of the ultrahyperbolic equation by using the convolution method. Later in 1998, he has also studied the properties of the distribution eαx ♦k δ and its application for solving the convolution equation eαx ♦k δ ∗ ux eαx m Cr ♦r δ. 1.7 r0 Recently, Nonlaopon gave some generalizations of his paper 6; see 14 for more details. Abstract and Applied Analysis 3 In 2000, Kananthai 15 has studied the application of the distribution eαx k δ for solving the convolution equation eαx k δ ∗ ux eαx m Cr r δ, 1.8 r0 which is related to the ultrahyperbolic equation. In 2009, Sasopa and Nonlaopon 16 have studied the properties of the distribution eαx kc δ and its application to solve the convolution equation eαx kc δ ∗ ux eαx m r0 Cr rc δ. 1.9 Here, kc is the operator related to the ultrahyperbolic type operator iterated k times, which is defined by ⎞k pq p 2 2 ∂ ∂ 1 ⎠ , − kc ⎝ 2 c i1 ∂xi2 jp1 ∂xj2 ⎛ 1.10 where p q n is the dimension of Rn . In 1988, Trione 17 has studied the fundamental solution of the ultrahyperbolic KleinGordon operator iterated k times, which is defined by m2 k ⎞k p pq 2 2 ∂ ∂ ⎝ − m2 ⎠ . 2 2 ∂x ∂x i1 jp1 i j ⎛ 1.11 The fundamental solution of the operator m2 k is given by W2k x, m ∞ −1r Γk r r0 r!Γk m2 r −1r RH 2k2r x, 1.12 where RH x is defined by 2.2 with γ 2k 2r. Next, Tellez 18 has studied the 2k2r convolution product of Wα x, m ∗ Wβ x, m, where α and β are any complex parameter. In addition, Trione 19 has studied the fundamental P ± i0λ -ultrahyperbolic solution of the Klein-Gordon operator iterated k times and the convolution of such fundamental solution. Liangprom and Nonlaopon 20 have studied the properties of the distribution eαx k m2 δ and its application for solving the convolution equation M k r eαx m2 δ ∗ ux eαx Cr m2 δ, r0 where m2 k is defined by 1.11. 1.13 4 Abstract and Applied Analysis In 2007, Tariboon and Kananthai 21 have introduced the operator ♦ m2 k called diamond Klein-Gordon operator iterated k times, which is defined by ♦ m2 k ⎤k ⎡ ⎞2 2 ⎛ pq p 2 2 ∂ ∂ ⎠ ⎥ ⎢ ⎣ −⎝ m2 ⎦ , 2 2 ∂x ∂x i1 jp1 i j 1.14 where p q n is the dimension of Rn , for all x x1 , x2 , . . . , xn ∈ Rn , m ≥ 0 and nonnegative integers k. Later, Lunnaree and Nonlaopon 22, 23 have studied the fundamental solution of operator ♦ m2 k , and this fundamental solution is called the diamond Klein-Gordon kernel. They have also studied the Fourier transform of the diamond Klein-Gordon kernel and its convolution. In this paper, we aim to study the properties of the distribution eαx ♦ m2 k δ and the application of eαx ♦ m2 k δ for solving the convolution equation M k r eαx ♦ m2 δ ∗ ux eαx Cr ♦ m2 δ, 1.15 r0 where ♦ m2 k is defined by 1.14, ux is the generalized function, and Cr is a constant. On finding the type of solution ux of 1.15, we use the method of convolution of the generalized functions. Before we proceed to that point, the following definitions and concepts require clarifications. 2. Preliminaries Definition 2.1. Let x x1 , x2 , . . . , xn be a point of the n-dimensional Euclidean space Rn . Let 2 2 2 u x12 x22 · · · xp2 − xp1 − xp2 − · · · − xpq 2.1 be the nondegenerated quadratic form, where p q n is the dimension of Rn . Let Γ {x ∈ Rn : x1 > 0 and u > 0} be the interior of a forward cone, and let Γ denote its closure. For any complex number γ, we define the function ⎧ γ−n/2 ⎪ ⎨u , Kn γ RH x γ ⎪ ⎩0, for x ∈ Γ , 2.2 for x ∈ / Γ , where the constant Kn γ is given by π n−1/2 Γ 2 γ − n /2 Γ 1 − γ /2 Γ γ Kn γ . Γ 2 γ − p /2 Γ p − γ /2 2.3 Abstract and Applied Analysis 5 The function RH γ x is called the ultrahyperbolic kernel of Marcel Riesz, which was introduced by Nozaki 24. It is well known that RH γ x is an ordinary function if Reγ ≥ n H and is a distribution of γ if Reγ < n. Let supp RH γ x denote the support of Rγ x and H suppose that supp RH γ x ⊂ Γ , that is, supp Rγ x is compact. H By putting p 1 in R2k x and taking into account Legendre’s duplication formula 1 Γ2z 22z−1 π −1/2 ΓzΓ z , 2 2.4 we obtain IγH x vγ−n/2 , Hn γ 2.5 v x12 − x22 − x32 − · · · − xn2 , where γ 2 − n γ . Γ Hn γ π n−2/2 2γ−1 Γ 2 2 2.6 The function IγH x is called the hyperbolic kernel of Marcel Riesz. Definition 2.2. Let x x1 , x2 , . . . , xn be a point of Rn and ω x12 x22 · · · xn2 . The elliptic kernel of Marcel Riesz is defined by Reγ x ωγ−n/2 , Wn γ 2.7 where n is the dimension of Rn , γ ∈ C, and π n/2 2γ Γ γ/2 Wn γ . Γ n − γ /2 2.8 Note that n p q. By putting q 0 i.e., n p in 2.2 and 2.3, we can reduce γ−p/2 to ωp , where ωp x12 x22 · · · xp2 , and reduce Kn γ to γ−n/2 u π p−1/2 Γ 1 − γ /2 Γ γ . Kp γ Γ p − γ /2 2.9 Using the Legendre’s duplication formula Γ2z 2 2z−1 π −1/2 1 , ΓzΓ z 2 2.10 6 Abstract and Applied Analysis 1 1 Γ z Γ − z π secπz, 2 2 2.11 1 γπ Kp γ sec Wp γ . 2 2 2.12 we obtain Thus, in case q 0, we have RH γ x γπ uγ−p/2 γπ uγ−p/2 Reγ x. 2 cos 2 cos 2 Wp γ 2 Kp γ 2.13 In addition, if γ 2k for some nonnegative integer k, then k e RH 2k x 2−1 R2k x. 2.14 Lemma 2.3. The convolution −1k Re2k x ∗ RH x is the fundamental solution of the diamond 2k operator iterated k times, that is, ♦k −1k Re2k x ∗ RH 2k x δ. 2.15 For the proof of this Lemma, see 4, 12. It can be shown that Re−2k x ∗ RH x −1k ♦k δ, for all nonnegative integers k. −2k Definition 2.4. Let x x1 , x2 , . . . , xn be a point of Rn . The function Tγ x, m is defined by ⎛ γ⎞ r ⎝− 2 ⎠ m2 −1γ/2r Re x ∗ RH x, Tγ x, m γ2r γ2r r r0 ∞ 2.16 where γ is a complex parameter, and m is a nonnegative real number. Here, RH γ2r x and Reγ2r x are defined by 2.2 and 2.7, respectively. From the definition of Tγ x, m, by putting γ −2k, we have T−2k x, m ∞ k r0 r m2 r −1−kr Re2−kr x ∗ RH 2−kr x. 2.17 Abstract and Applied Analysis 7 Since the operator ♦ m2 k defined by 1.14 is linearly continuous and has 1-1 mapping, this possesses its own inverses. From Lemma 2.3, we obtain T−2k x, m ∞ k m2 r r0 r k ♦k−r δ ♦ m2 δ. 2.18 Substituting k 0 in 2.18 yields that we have T0 x, m δ. On the other hand, putting γ 2k in 2.16 yields −k T2k x, m 0 m2 0 ∞ −k r1 r −1k0 Re2k0 x ∗ RH 2k0 x m 2 r 2.19 −1 kr Re2k2r x ∗ RH 2k2r x. The second summand of the right-hand side of 2.19 vanishes when m 0. Hence, we obtain T2k x, m 0 −1k Re2k x ∗ RH 2k x, 2.20 which is the fundamental solution of the diamond operator. For the proofs of Lemmas 2.5 and 2.6, see 23. Lemma 2.5. Given the equation ♦ m2 k ux δ, 2.21 where ♦ m2 k is the diamond Klein-Gordon operator iterated k times, defined by ♦ m2 k ⎤k ⎡ ⎞2 2 ⎛ pq p 2 2 ∂ ∂ ⎠ ⎥ ⎢ ⎣ −⎝ m2 ⎦ 2 2 ∂x ∂x i1 jp1 i j 2.22 with a nonnegative integer k and the Dirac-delta distribution δ, then ux T2k x, m is the fundamental solution of the diamond Klein-Gordon operator iterated k times ♦ m2 k , where T2k x, m is defined by 2.16 with γ 2k. Lemma 2.6. Let T2k x, m be the diamond Klein-Gordon kernel defined by 2.16, then T2k x, m is a tempered distribution and can be expressed by T2k x, m T2k−2v x, m ∗ T2v x, m, 2.23 8 Abstract and Applied Analysis where v is a nonnegative integer and v < k. Moreover, if one puts l k − v and h v, then one obtains T2l x, m ∗ T2h x, m T2l2h x, m 2.24 for l h k. 3. Properties of the Distribution eαx ♦ m2 k δ Lemma 3.1. The following equality holds: k eαx ♦ m2 δ Lk δ, 3.1 and eαx ♦ m2 k δ is the tempered distribution of order 4k with support {0}, where L is the partial differential operator and is defined by ∂3 ∂3 αi L≡ ♦m ∂xi2 ∂xr ∂xi ∂xr2 r1 r1 i1 ⎛ ⎞ p pq pq n n 2 2 ∂3 ∂3 ∂ ∂ ⎠ αr 2 4 αr ⎝ αi 2 αj − αj ∂xi ∂xr jp1 ∂xj ∂xr ∂xj ∂xr ∂xj ∂xr2 r1 jp1 r1 i1 2 p n n 2 αr αr − 2 ⎛ ⎞ ⎛ ⎞ p pq p pq n ∂ ∂ ⎠ ⎝ 2 2 ⎠ 2⎝ − 2 αr αi − αj αi − αj ∂xi jp1 ∂xj r1 i1 i1 jp1 3.2 ⎛ ⎞ ⎞ ⎛ p pq p pq n n ∂ − 2⎝ α2i − α2j ⎠ αr ⎝ α2i − α2j ⎠ α2r . ∂xr i1 jp1 r1 i1 jp1 r1 As before, is the ultrahyperbolic operator defined by 1.1 (with k 1), and is the Laplace operator defined by ∂2 ∂2 ∂2 ··· . ∂x1 ∂x2 ∂xn 3.3 Proof. Let ϕ ∈ D be the space of testing functions which are infinitely differentiable with compact supports, and let D be the space of distributions. Now, eαx ♦ m2 δ, ϕx δ, ♦ m2 eαx ϕx , 3.4 for eαx ♦ m2 δ ∈ D . A direct computation shows that ♦ m2 eαx ϕx eαx T ϕx, 3.5 Abstract and Applied Analysis 9 where T is the partial differential operator defined by ∂3 ∂3 αi T ≡ ♦m ∂xi2 ∂xr ∂xi ∂xr2 r1 r1 i1 ⎛ ⎞ p pq pq n n 2 2 ∂3 ∂3 ∂ ∂ ⎠ αr 2 4 αr ⎝ αi −2 αj − αj ∂xi ∂xr jp1 ∂xj ∂xr ∂xj ∂xr ∂xj ∂xr2 r1 jp1 r1 i1 2 p n n 2 αr αr 2 ⎛ ⎞ ⎛ ⎞ p pq p pq n ∂ ∂ ⎠ ⎝ α2 − 2 α2r ⎝ αi − αj α2j ⎠ i ∂x ∂x i j r1 i1 jp1 i1 jp1 3.6 ⎛ ⎞ ⎞ ⎛ p pq p pq n n ∂ 2⎝ α2i − α2j ⎠ αr ⎝ α2i − α2j ⎠ α2r . ∂xr i1 jp1 r1 i1 jp1 r1 Thus, δ, ♦ m2 eαx ϕx δ, eαx T ϕx T ϕ0. 3.7 Since eαx ♦ m2 k δ, ϕx ♦ m2 k δ, eαx ϕx for every ϕx ∈ D and eαx ♦ m δ ∈ D , we have 2 k ♦m 2 k αx δ, e ϕx k−1 2 αx ♦m δ, ♦ m e ϕx 2 ♦m 2 ♦ m2 k−1 δ, e T ϕx αx k−2 δ, ♦ m2 eαx T ϕx k−2 δ, eαx T T ϕx k−2 δ, eαx T 2 ϕx . ♦ m2 ♦ m2 3.8 Repeating this process ♦ m2 with k − 2 times, we finally obtain ♦ m2 k−2 δ, eαx T 2 ϕx δ, eαx T k ϕx T k ϕ0, 3.9 where T k is the operator of 3.6 iterated k times. Now, T k ϕ0 δ, T k ϕx Lδ, T k−1 ϕx , 3.10 10 Abstract and Applied Analysis by the operator L in 3.2 and the derivative of distribution. Continuing this process, we obtain T k ϕ0 Lk δ, ϕx or eαx ♦ m2 k δ, ϕx Lk δ, ϕx. By equality of distributions, we obtain 3.1 as required. Since δ and its partial derivatives have support {0} which is compact, hence, by Schwartz 25, Lk δ are tempered distributions and Lk δ has order 4k. It follows that eαx ♦ m2 k δ is a tempered distribution of order 4k with point support {0} by 3.1. This completes the proof. Lemma 3.2 boundedness property. Let D be the space of testing functions and D the space of distributions. For every ϕ ∈ D and eαx ♦ m2 k δ ∈ D , k αx e ♦ m2 δ, ϕx ≤ M, 3.11 for some constant M. Proof. Note that we have eαx ♦ m2 k δ, ϕx ♦ m2 k δ, eαx ϕx for every ϕx ∈ D and eαx ♦ m2 k δ ∈ D . Hence, ♦m 2 k αx δ, e ϕx k−1 k−1 2 αx 2 αx ♦m δ, ♦ m e ϕx ♦m δ, e T ϕx , 2 3.12 where T is defined by 3.6. Continuing this process for k − 1 times, we will obtain k eαx ♦ m2 δ, ϕx δ, eαx T k ϕx T k ϕ0. 3.13 Since ϕ ∈ D, so ϕ0 is bounded, and also T k ϕ0 is bounded. It then follows that k αx e ♦ m2 δ, ϕx T k ϕ0 ≤ M, 3.14 for some constant M. 4. The Application of Distribution eαx ♦ m2 k δ Theorem 4.1. Let L be the partial differential operator defined by 3.2, and consider the equation Lux δ, 4.1 where ux is any distribution in D , then ux eαx T2 x, m is the fundamental solution of the operator L, where T2 x, m is defined by 2.16 with γ 2. Abstract and Applied Analysis 11 Proof. From 3.1 and 4.1, we can write eαx ♦ m2 δ ∗ ux Lux δ. Convolving both sides by eαx T2 x, m, we have eαx T2 x, m ∗ eαx ♦ m2 δ ∗ ux eαx T2 x, m ∗ δ, 4.2 eαx T2 x, m ∗ ♦ m2 δ ∗ ux eαx T2 x, m, 4.3 then or equivalently, eαx ♦ m2 T2 x, m ∗ ux eαx T2 x, m. 4.4 Since ♦ m2 T2 x, m δ by Lemma 2.5 with k 1, we obtain eαx δ ∗ ux eαx T2 x, m. 4.5 Moreover, since eαx δ δ, we have δ ∗ ux eαx T2 x, m. It then follows that ux eαx T2 x, m is the fundamental solution of the operator L. Theorem 4.2 the generalization of Theorem 4.1. From Lemma 3.1, consider that k eαx ♦ m2 δ ∗ ux δ, 4.6 Lk ux δ, 4.7 or then ux eαx T2k x, m is the fundamental solution of the operator Lk . Proof. We can prove it by using either 4.6 or 4.7. If we start with 4.6, by convolving both sides by eαx T2k x, m, we obtain αx e T2k x, m ∗ e αx ♦m 2 k δ ∗ ux eαx T2k x, m ∗ δ, 4.8 or eαx ♦ m2 k T2k x, m ∗ ux eαx T2k x, m. Since ♦ m2 k T2k x, m δ by Lemma 2.5, we have eαx δ ∗ ux eαx T2k x, m or ux eαx T2k x, m as required. If we use 4.7, by convolving both sides by eαx T2 x, m, we obtain eαx T2 x, m ∗ Lk ux eαx T2 x, m ∗ δ, 4.9 12 Abstract and Applied Analysis or Leαx T2 x, m∗Lk−1 ux eαx T2 x, m. By Theorem 4.1, we obtain Lk−1 ux eαx T2 x, m. Keeping on convolving eαx T2 x, m for k − 1 times, we finally obtain ux eαx T2 x, m ∗ T2 x, m ∗ · · · ∗ T2 x, m eαx T2k x, m, 4.10 by Lemma 2.6 and 26, page 196. In particular, if we put α α1 , α2 , . . . , αn 0 in 4.6, then 4.6 reduces to 2.21, and we obtain ux T2k x, m as the fundamental solution of the diamond Klein-Gordon operator iterated k times. Theorem 4.3. Given the convolution equation M k r eαx ♦ m2 δ ∗ ux eαx Cr ♦ m2 δ, 4.11 r0 where ♦ m2 k is the diamond Klein-Gordon operator iterated k times defined by ♦ m2 k ⎛ ⎞k p pq 2 2 ∂ ∂ ⎝ − m2 ⎠ , 2 2 i1 ∂xi jp1 ∂xj 4.12 the variable x x1 , x2 , . . . , xn ∈ Rn , the constant α α1 , α2 , . . . , αn ∈ Rn , m is a nonnegative real number, δ is the Dirac-delta distribution with ♦ m2 0 δ δ, ♦ m2 1 δ ♦ m2 δ, and Cr is a constant, then the type of solution ux of 4.11 depends on k, M, and α as follows: 1 if M < k and M 0, then the solution of 4.11 is ux C0 eαx T2k x, m, 4.13 where T2k x, m is defined by 2.16 with γ 2k. If 2k ≥ n and for any α, then eαx T2k x, m is the ordinary function, 2 if 0 < M < k, then the solution of 4.11 is ux eαx M Cr T2k−2r x, m, 4.14 r1 which is an ordinary function for 2k − 2r ≥ n with any arbitrary constant α, 3 if M ≥ k and for any α one supposes that k ≤ M ≤ N, then 4.11 has ux eαx N r−k Cr ♦ m2 δ rk as a solution which is the singular distribution. 4.15 Abstract and Applied Analysis Proof. 13 1 For M < k and M 0, then 4.11 becomes k eαx ♦ m2 δ ∗ ux C0 eαx δ C0 δ, 4.16 and by Theorem 4.2, we obtain ux C0 eαx T2k x, m. 4.17 Now, by 2.2 and 2.7, Re2k x and RH x are ordinary functions, respectively, for 2k ≥ n. It 2k αx then follows that C0 e T2k x, m is an ordinary function for 2k ≥ n with any α. 2 For 0 < M < k, then we can write 4.11 as k 2 M ! eαx ♦ m2 δ ∗ ux eαx C1 ♦ m2 δ C2 ♦ m2 δ · · · CM ♦ m2 δ . 4.18 Convolving both sides by eαx T2k x, m and applying Lemma 2.5, we obtain ! 2 M ux eαx C1 ♦ m2 T2k x, m C2 ♦ m2 T2k x, m · · · CM ♦ m2 T2k x, m . 4.19 It is known that ♦ m2 k T2k x, m δ, thus ♦ m2 k−r ♦ m2 r T2k x, m δ for r < k. Convolving both sides by T2k−2r x, m, we obtain k−r r ♦ m2 T2k x, m T2k−2r x, m, T2k−2r x, m ∗ ♦ m2 4.20 or ♦ m2 k−r r T2k−2r x, m ∗ ♦ m2 T2k x, m T2k−2r x, m, 4.21 which leads to ♦ m2 r T2k x, m T2k−2r x, m, 4.22 for r < k. It follows that ux eαx C1 T2k−2 x, m C2 T2k−4 x, m · · · CM T2k−2M x, m, 4.23 or ux eαx M r1 Cr T2k−2r x, m. 4.24 14 Abstract and Applied Analysis Similarly, by case 1, eαx T2k−2r x, m is the ordinary function for 2k − 2r ≥ n with any α. It follows that ux eαx M Cr T2k−2r x, m 4.25 r1 is also the ordinary function with any α. 3 if M ≥ k and for any α, we suppose that k ≤ M ≤ N, then 4.11 becomes k k k1 N ! δ · · · CN ♦ m2 δ . eαx ♦ m2 δ ∗ ux eαx Ck ♦ m2 δ Ck1 ♦ m2 4.26 Convolving both sides by eαx T2k x, m and applying Lemma 2.5, we have ! k k1 N ux eαx Ck ♦m2 T2k x, mCk1 ♦m2 T2k x, m· · ·CN ♦m2 T2k x, m . 4.27 Now, ♦ m2 M M−k k M−k ♦ m2 T2k x, m ♦ m2 T2k x, m ♦ m2 , 4.28 for k ≤ M ≤ N. Thus, ux e αx e αx Ck δ Ck1 ♦ m δ Ck2 ♦ m N Cr ♦ m 2 2 r−k 2 2 δ · · · CN N−k ! ♦m δ 2 4.29 δ. rk Now, by 3.1 and 3.2, we have r−k r−k eαx ♦ m2 δ ♦ m2 δ terms of lower order of partial derivative of δ 4.30 for k ≤ r ≤ N. Since all terms on the right-hand side of this equation are singular distribution, it follows that ux eαx N r−k Cr ♦ m2 δ rk is the singular distribution. 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