Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2010, Article ID 709607, 16 pages doi:10.1155/2010/709607 Research Article On the Polyconvolution with the Weight Function for the Fourier Cosine, Fourier Sine, and the Kontorovich-Lebedev Integral Transforms Nguyen Xuan Thao Faculty of Applied Mathematics and Informatics, Hanoi University of Technology, No. 1, Dai Co Viet, Hanoi, Vietnam Correspondence should be addressed to Nguyen Xuan Thao, thaonxbmai@yahoo.com Received 26 December 2009; Revised 5 April 2010; Accepted 17 May 2010 Academic Editor: Slimane Adjerid Copyright q 2010 Nguyen Xuan Thao. 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. The polyconvolution with the weight function γ of three functions f, g, and h for the integral transforms Fourier sine Fs , Fourier cosine Fc , and Kontorovich-Lebedev Kiy , which is γ denoted by ∗f, g, h(x), has been constructed. This polyconvolution satisfies the following γ factorization property Fc∗f, g, hy sin yFs fy · Fc gy · Kiy hy, for all y > 0. The relation of this polyconvolution to the Fourier convolution and the Fourier cosine convolution has been obtained. Also, the relations between the polyconvolution product and others convolution product have been established. In application, we consider a class of integral equations with Toeplitz plus Hankel kernel whose solution in closed form can be obtained with the help of the new polyconvolution. An application on solving systems of integral equations is also obtained. 1. Introduction The convolution of two functions f and g for the Fourier transform is well known 1 ∞ 1 f ∗ g x √ f x − y g y dy, F 2π −∞ x ∈ R. 1.1 This convolution has the factorization equality as below F f ∗ g y Ff y Fg y , F ∀y ∈ R, 1.2 2 Mathematical Problems in Engineering where F denotes the Fourier transform Ff 1 y √ 2π ∞ −∞ fxe−ixy dx. 1.3 The convolution of f and g for the Kontorovich-Lebedev integral transform has been studied in 2 ∞ 1 1 xu xv uv fugvdu dv, f ∗ g x exp − K−L 2x 0 2 v u x x > 0, 1.4 for which the following factorization identity holds: Kiy f ∗ g Kiy f · Kiy g , K−L ∀y > 0. 1.5 Here Kiy is the Kontorovich-Lebedev transform 3 Kix f ∞ Kix tftdt, 1.6 0 and Kix t is the Macdonald function 4. The convolution of two functions f and g for the Fourier cosine is of the form 1 ∞ 1 f ∗ g x √ f y g x − y g x y dy, 1 2π 0 x > 0, 1.7 which satisfied the following factorization equality: Fc f ∗ g y Fc f y F c g y , 1 ∀y > 0. 1.8 y > 0. 1.9 Here the Fourier cosine transform is of the form Fc f y 2 π ∞ cos yx · fxdx, 0 The convolution with a weight function γx sin x of two functions f and g for the Fourier sine transform has been introduced in 5, 6 1 f ∗ g x √ 2 2π γ ∞ 0 f y sign x y − 1 g x y − 1 sign x − y 1 g x − y 1 −g x y 1 − sign x − y − 1 g x − y − 1 dy, x > 0, 1.10 Mathematical Problems in Engineering 3 and the following factorization identity holds: γ Fs f ∗ g y sin y Fs f y Fs g y , ∀y > 0. 1.11 Here the Fourier sine is of the form Fs f y 2 π ∞ sin yx · fxdx, 1.12 y > 0. 0 The generalized convolution of two functions f and g for the Fourier sine and Fourier cosine transforms has been studied in 1 1 f ∗ g x √ 2 2π ∞ fu g|x − u| − gx u du, x > 0, 1.13 0 and proved the following factorization identity 1: Fs f ∗ g y F s f y · F c g y , 2 ∀y > 0. 1.14 The generalized convolution of two functions f and g for the Fourier cosine and the Fourier sine transforms is defined by 7 ∞ 1 fu signu − xg|u − x| gu x du, f ∗ g x √ 3 2π 0 x > 0. 1.15 For this generalized convolution, the following factorization equality holds: Fc f ∗ g 3 y Fs f y Fs g y , ∀y > 0. 1.16 The generalized convolution with the weight function γx sin x for the Fourier cosine and the Fourier sine transforms of f and g has been introduced in 8 ∞ γ 1 fu g|x u − 1| g|x − u 1| f ∗ g x √ 1 2 2π 0 −gx u 1 − g|x − u − 1| du, 1.17 x > 0. It satisfies the factorization property γ Fc f ∗ g y sin y Fs f y Fc g y , 1 ∀y > 0. 1.18 4 Mathematical Problems in Engineering The generalized convolution with the weight function γx sin x of f and g for the Fourier sine and Fourier cosine has been studied in 9 1 f ∗ g x √ 2 2 2π γ ∞ fu g|x u − 1| g|x − u − 1| 0 −gx u 1 − g|x − u 1| du, 1.19 x > 0, and satisfies the following factorization identity: γ Fs f ∗ g 2 y sin y Fc f y Fc g y , ∀y > 0. 1.20 Recently, the following generalized convolutions for Fourier cosine, Kontorovich-Lebedev and Fourier sine, Kontorovich-Lebedev are studied in 10 f. 21 1 f ∗ g {c} x s 2πx R2 fugv e−x coshu−v ± e−x coshuv du dv, 1.21 x > 0. The respective factorization equalities are 10 F{c} f ∗ g {c} y F{c} f y Kiy g , s s s 0,β x > 0, f ∈ L1 R ∩ Lp R , g ∈ Lp , p > 1, 1.22 where 0,β Lp ∞ ftp K0 βt dt < ∞, 0 < β 1 . f: 1.23 0 In 1997, Kakichev introduced a constructive method for defining a polyconvolution with a weight function γ of functions f1 , f2 , . . . , fn for the integral transforms γ K, K1 , K2 , . . . , Kn , which are denoted by ∗f1 , f2 , . . . , fn x, such that the following factorization property holds 11: n γ K ∗ f1 , f2 , . . . , fn y γ y Ki fi y , n 3. 1.24 i1 Polyconvolutions for the Hilbert, Stieltjes, Fourier cosine, and Fourier sine integral transforms have been studied in 12. The polyconvolution of f, g, and h for the Fourier cosine and the Fourier sine transforms has the form 13 1 ∗ f, g, h x 2π ∞ fugvh|x u − v| hx − u v | 1.25 0 −h|x − u − v| − hx u vdu dv, x > 0, Mathematical Problems in Engineering 5 which satisfies the following factorization property: Fc ∗ f, g, h y Fs f y · Fs g y · Fc h y , ∀y > 0. 1.26 In recent years, many sciences were interested in the theory of convolution for the integral transforms and gave several interesting application see 3, 14–21, specially, the integral equations with the Toeplitz plus Hankel kernel 22–24 fx ∞ k1 x y k2 x − y f y dy gx, x > 0, 1.27 0 where k1 , k2 , and g are known functions, and f is an unknown function. Many partial cases of this equation can be solved in closed form with the help of the convolutions and generalized convolutions. In this paper, we construct and investigate the polyconvolution for the Fourier sine, Fourier cosine, and the Kontorovich-Lebedev transforms. Several properties of this new polyconvolution and its application on solving integral equation with Toeplitz plus Hankel equation and systems of integral equations are obtained. 2. Polyconvolution Definition 2.1. The polyconvolution with the weight function γ sin x of functions f, g, and h for the Fourier cosine, Fourier sine, and the Kontorovich-Lebedev integral transforms is defined as follows: γ ∗ f, g, h x ∞ θx, u, v, wfugvhwdu dv dw, 2.1 0 where 1 −w coshxvu−1 θx, u, v, w √ e e−w coshxv−u1 e−w coshx−vu−1 e−w coshx−v−u1 4 2π −e−w coshxvu1 − e−w coshxv−u−1 − e−w coshx−vu1 − e−w coshx−v−u−1 . 2.2 √ Theorem 2.2. Let f and g be functions in L1 R , and let h be a function in L1 1/ w, R ; then the polyconvolution 2.1 belongs to L1 R and satisfies the following factorization equality: γ Fc ∗ f, g, h y sin y Fs f y · Fc g y · Kiy h , ∀y > 0. 2.3 6 Mathematical Problems in Engineering √ Proof. Since |e−w coshxuv−1 − e−w coshxuv−1 | 1/ w for sufficient large w > 0, we have ∞ γ ∗ f, g, h x √1 fugv|hw||θx, u, v, w|du dv dw 4 2π 0 ∞ ∞ ∞ 1 1 √ fu du · gv dv · √ |hw|dw < ∞. w 2π 0 0 0 2.4 On the other hand, note that coshx u v − 1 x u v − 12 /2; we have 2 e−w coshxuv−1 e−wxuv−1 /2 , 2.5 ∀w > 0. Using formula 3.321.3, page 321, in 4, we have ∞ e −w coshxuv−1 2 w dx 0 ∞ 2 2 w e − √ 2 w/2xuv−1 d 0 ∞ 0 w x u v − 1 2 e−s ds 2 2.6 2π . w It shows that ∞ 0 e−w coshxuv−1 fugv|hw|du dv dw dx ∞ 2π |hw|fugvdu dv dw w 0 ∞ ∞ ∞ √ 1 fudu · gvdv < ∞. 2π √ |hw|dw · w 0 0 0 2.7 By the same way, we obtain similar estimations for the 7 other terms. Therefore, from formulas 2.1, 2.2, and 2.7, we have ∞ γ ∗ f, g, h xdx < ∞. 2.8 0 It shows that the polyconvolution 2.1 belongs to L1 R . We now prove the factorization equality 2.3. Indeed, we have sin y Fs f y Fc g y Kiy h ∞ 2 sin y sin yu cos yv Kiy wfugvhwdu dv dw. π 0 2.9 Mathematical Problems in Engineering 7 Using formula 2, page 130 in 4, we get sin y Fs f y Fc g y Kiy h ∞ 2 sin y sin yu cos yv cos yα e−w cosh α fugvhwdu dv dw dα π 0 ∞ 1 e−w cosh α cos yu − 1 v α cos yu − 1 − v − α cos yu − 1 v − α 4π 0 cos yu − 1 − v α − cos yu 1 v α − cos yu 1 − v − α − cos yu 1 v − α − cos yu 1 − v α × fugvhwdu dv dw dα. 2.10 Interchanging variables, we have ∞ e−w cosh α cos yu − 1 v α − cos yu 1 v α dα 0 ∞ cos yx e −w coshx−u1−v −e −w coshx−u−1−v 2.11 dx. 0 Similarly, ∞ e−w cosh α cos yu − 1 − v α − cos yu 1 − v α dα 0 ∞ cos yx e−w coshx−u1v − e−w coshx−u−1v dx; 0 e−w cosh α cos yu − 1 − v − α − cos yu 1 − v − α dα 0 ∞ ∞ ∞ cos yx e −w coshxu−1−v −e −w coshxu1−v 2.12 dx; 0 e−w cosh α cos yu − 1 v − α − cos yu 1 v − α dα 0 ∞ cos yx e−w coshxu−1v − e−w coshxu1v dx. 0 From fomulae 2.10– 2.8, we have γ sin y Fs f y Fc g y Kiy h Fc ∗ f, g, h y . The proof is complete. 2.13 8 Mathematical Problems in Engineering Definition 2.3. Let f be a function in L1 R and let h be a function in L1 β, R ; their norms are defined as follows: f L1 R ∞ fxdx, 0 hL1 β,R ∞ βv|hv|dv. 2.14 0 √ here βv 2/ v. Theorem 2.4. Let f and g be functions in L1 R , and let h be function in L1 β, R ; then the following estimation holds: γ ∗ f, g, h L1 R f L1 R g L1 R hL1 β,R . 2.15 Proof. From formulas 2.1, 2.2, and 2.7, we have ∞ ∞ ∞ γ 1 ∗ f, g, h xdx 2 gvdv. fu du · √ |hw|dw · w 0 0 0 2.16 Therefore, by Definition 2.3, γ ∗ f, g, h L1 R f L1 R g L1 R hL1 β,R . 2.17 √ Proposition 2.5. Let f, g ∈ L1 R , and let h ∈ L1 1/ w, R ; then the following identity holds: γ 1 ∗ f, g, h 2 π 2 ∞ −w cosh t hw g∗e ∗ f|t| sign t x 1 1 0 − F g ∗ e−w cosh t 1 ∗ f|t| sign t F x − 1 dw. 2.18 Proof. From the definition 2.1 of the polyconvolution and the convolution 1.7, we have γ ∗ f, g, h x 1 ∞ fuhw g ∗ e−w cosh t x − u 1 g ∗ e−w cosh t x u − 1 1 1 4 0 − g ∗ e−w cosh t x u 1 − g ∗ e−w cosh t x − u − 1 du dw. 1 1 2.19 Mathematical Problems in Engineering 9 From 2.19 and calculation, we obtain ∗ f, g, h x 1 ∞ π 2 hw g ∗ e−w cosh t ∗ f|t| sign t x 1 1 0 − g∗e F −w cosh t 1 ∗ f|t| sign t x − 1 dw. 2.20 F The proof is complete. Theorem 2.6. Let f, g, h be functions in L1 R , γx sin x, and let l and k be functions in √ L1/ w, R; then the following properties holds: γ γ γ γ a ∗f, ∗g, h, k, l ∗g, ∗f, h, k, l; γ γ b ∗f ∗ g, h, k ∗f, g ∗ h, k; 2 γ γ γ γ γ γ 1 γ c ∗f ∗ g, h, k ∗f, g ∗ h, k; 1 γ d ∗f ∗ g, h, k ∗f ∗ h, g, k; 2 2 γ γ e ∗f, g ∗ h, k ∗g, f ∗ h, k. 3 3 Proof. First, we prove the assertion c. From Theorem 2.2 and the convolutions 1.17, 1.10, we have γ γ γ y sin yFs f ∗ g y · Fc h y Kiy h Fc ∗ f ∗ g, h, k sin y sin y Fs f y Fs g y Fc h y Kiy h γ sin y · Fs f y · Fc g ∗ h y · Kiy h 2.21 1 γ γ Fc ∗ f, g ∗ h, k . 1 Therefore, the part c holds. Other parts can be proved in a similar way. 3. Applications in Solving Integral Equations and Systems of Integral Equations Consider the integral equation fx ∞ θx, u, v, wgufvhwdu dv dw 0 ∞ 0 θ1 x, ufudu ∞ 0 3.1 θ2 x, ufudu ϕx, x > 0, 10 Mathematical Problems in Engineering where g, h, k, l, and ϕ are known functions, f is an unknown function, θx, u, v, w is given by the formula 2.2, and 1 θ1 x, u √ kx u 1 − k|x u − 1| signx u − 1 2 2π k|x − u 1| signx − u 1 − k|x − u − 1| signx − u − 1 , 3.2 1 θ2 x, u √ lx u l|x − u|. 2π √ Theorem 3.1. Suppose that g, l, ϕ, k1 , k2 ∈ L1 R , h ∈ L1 1/ v, R , k k1 ∗ k2 such that 2 1 sin y Fs g y Kiy h Fs k1 y Fc k2 y Fc l y / 0, 3.3 then 3.1 has a unique solution in L1 R whose closed form is fx ϕx − ϕ ∗ ξ x. 3.4 1 Here ξ ∈ L1 R is defined uniquely by Fc ξ y sin y Fs g y Kiy h sin yFs k1 y Fc k2 y Fc l y . 1 sin y Fs g y Kiy h sin yFs k1 y Fc k2 y Fc l y 3.5 Proof. We obtain the following lemmas. Lemma 3.2. For f, k ∈ L1 R , then the following operator also belongs to L1 R ∞ fuθ1 x, udu. 3.6 0 Moreover, the following factorization equality holds: ∞ Fc fuθ1 x, udu y sin y · Fs k y Fc f y , ∀y > 0. 3.7 0 γ √ Lemma 3.3. Let g ∈ L1 R , h ∈ L1 1/ v, R ; then the generalized convolution g ∗ hx belongs 3 to L1 R and the respectively factorization equality is Fc g ∗ h y sin y Fs g y Kiy h , γ 3 ∀y > 0, 3.8 Mathematical Problems in Engineering 11 where 1 ∞ −v coshxu−1 e g ∗ h x e−v coshx−u1 − e−v coshxu1 − e−v coshx−u−1 3 4 0 γ × guhvdu dv, 3.9 x > 0. We now prove Theorem 3.1 with the help of convolution 1.7, Lemmas 1, and 2. We have Fc f y sin y Fs g y · Fc f y · Kiy h Fs k y · Fc f y sin y Fc l y · Fc f y Fc ϕ y . 3.10 Therefore, by the given condition, sin y Fs g y Kiy h sin yFs k y Fc l y . 1 sin y Fs g y Kiy h sin yFs k y Fc l y Fc f y F c ϕ y 1 − 3.11 γ By the hypothesis k k1 ∗ k2 , we see that sin yFs ky Fc k1 ∗ k2 y; using Lemma 3.3, we 2 1 get γ ⎞ Fc g ∗ h y Fc k1 ∗ k2 y Fc l y ⎟ ⎜ 4 1 ⎟. Fc f y F c ϕ y ⎜ ⎝1 − γ γ ⎠ 1 Fc g ∗ h y Fc k1 ∗ k2 y Fc l y ⎛ γ 4 3.12 1 In virtue of the Wiener-Levy theorem 25, by the given condition, there exists a function ξ ∈ L1 R such that Fc ξ y sin y Fs g y Kiy h sin yFs k1 y Fc k2 y Fc l y . 1 sin y Fs g y Kiy h sin yFs k1 y Fc k2 y Fc l y 3.13 From 3.12 and 3.13, we have Fc f y Fc ϕ y 1 − Fc ξ y . 3.14 Then the solution in L1 R of 3.1 has the form fx ϕx − ϕ ∗ ξ x. 1 The proof is complete. 3.15 12 Mathematical Problems in Engineering Remark 3.4. The integral equation 3.1 is a special case of the integral equation with the Toeplitz plus Hankel kernel 1.27 for x > 0 and k1 t 1 1 √ kt 1 − k|t − 1| signt − 1 √ lt 2 2π 2π ∞ 1 √ guhw e−w coshtu−1 e−w cosht−u1 − e−w coshtu1 − e−w cosht−u−1 du dw 4 2π 0 k2 t 1 1 l|t| √ k|t 1| signt 1 − k|t − 1| signt − 1 √ 2 2π 2π ∞ 1 √ guhw e−w coshtu−1 e−w cosht−u1 − e−w coshtu1 − e−w cosht−u−1 du dw. 4 2π 0 3.16 Next, we consider the following system of two integral equations: fx ∞ θx, u, v, wguhvkwdu dv dw 0 ∞ θ4 x, ufudu 0 ∞ ∞ θ3 x, ugudu px 0 3.17 θ5 x, ufudu gx qx. 0 Here θx, u, v, w is defined by 2.2, and 1 θ3 x, u √ lx u − l|x − u| signx − u , 2π 1 θ4 x, u √ ξx u ξ|x − u| signx − u , 2π 3.18 1 θ5 x, u √ η| x u − 1 η|x − u − 1| − ηx u 1 − ηx − u 1 , 2 2π h, k, l, ξ, η, p, q are known functions, and f and g are unknown functions. Theorem 3.5. Given that p, q, h, l, ξ, η1 , η2 ∈ L1 R and k ∈ L1 β, R , η η1 ∗ η2 such that 3 0, where 1 − Fc ψy / γ γ ψx ∗ξ, h, k x − ξ ∗ l x − ∗ η1 ∗ η2 , h, k x − l ∗ η x. 3 1 3.19 Mathematical Problems in Engineering 13 Then the system 3.17 has a unique solution in L1 R × L1 R whose closed form is as follows γ fx px − ∗ q, h, k x q ∗ l l ∗ p x 3 1 γ ∗ q, h, k ∗ l x q ∗ l ∗ l x, 3 1 1 γ γ gx qx − ξ ∗ p x − η ∗ p x q ∗ l x − ξ∗p ∗l − η ∗ p ∗ l x. 2 2 2 2 2 2 2 3.20 Here, l ∈ L1 R is defined by Fc l y Fc ψ y . 1 − Fc ψ y 3.21 Proof. We need the following lemma. Lemma 3.6. Let ξ, f ∈ L1 R ; then ∞ 1 Fs √ 2π ∞ ξx u ξ|x − u| signx − u fudu ∈ L1 R , 0 ξx u ξ|x − u| signx − u fudu y Fs ξ y Fc f y , 0 ∀y > 0. 3.22 Using Theorem 2.2, Lemma 3.6, and the generalized convolution 1.15, 1.19, we have y sin y Fs g y Fc h y Kiy k Fs l y Fs g y Fc p y , Fs ξ y Fc f y sin y Fc η y Fc f y Fs g y Fs q y . Fc f 3.23 γ On the other hand, from η η1 ∗ η2 we have sin yFc ηy Fs η1 ∗ η2 y. Therefore, using 3 Theorem 2.2 and the generalized convolution 1.15, 1.17, we have 1 sin yFc h y · Kiy k Fs l y Δ Fs ξ y sin y Fc η y 1 γ γ γ 1 − Fc ∗ξ, h, k y − Fc ξ ∗ l y − Fc ∗ η1 ∗ η2 , h, k y − Fc l ∗ η x. 3 1 3.24 14 Mathematical Problems in Engineering Hence, in view of the Wiener-Levy theorem 25, by the given condition, there is a unique function l ∈ L1 R such that 1 1 Fc l y , Δ 3.25 where γ γ γ Fc l ∗ η Fc ∗ξ, h, k Fc ξ ∗ l Fc ∗ η1 ∗ η2 , h, k 3 1 . Fc l γ γ γ 1 − Fc ∗ξ, h, k − Fc ξ ∗ l − Fc ∗ η1 ∗ η2 , h, k − Fc l ∗ η 3 3.26 1 On the other hand, using Theorem 2.2 and the generalized convolution 1.15, we have Fc p y Δ1 Fs qy sin yFc h y · Kiy k Fs l y 1 3.27 Fc p y − Fc ∗ q, h, k y − Fc q ∗ l y . 3 Hence, from 3.25, 3.27 we have Fs f y 1 Fc l y Fc p y − Fc ∗ q, h, k y − Fc q ∗ l y 3 Fc p y − Fc ∗ q, h, k − Fc q ∗ l Fc 3 − Fc q∗l ∗l 3 1 l ∗ p y − Fc ∗ q, h, k ∗ l y 1 1 y . 3.28 It shows that fx px − ∗ q, h, k x − q ∗ l l ∗ p x − ∗ q, h, k ∗ l x − q ∗ l ∗ l x. 3 1 1 3 1 3.29 Similarly, from the generalized convolutions 1.15, 1.19, we have 1 Fc p y Δ2 Fs ξy sin yFc ηy Fs qy γ Fs q y − Fs ξ ∗ p y − Fs η ∗ p y . 2 2 3.30 Mathematical Problems in Engineering 15 Using formulas 3.25, 3.30, we have Fs g γ y 1 Fc l y F s q y − Fs ξ ∗ p y − F s η ∗ p y 2 Fs q y − Fs − Fs γ 2 η∗p ∗l 2 2 2 γ ξ ∗ p y − Fs η ∗ p y Fs q ∗ l − Fs ξ∗p ∗l y 2 2 2 2 y . 3.31 It shows that γ γ ξ∗p ∗l − η ∗ p ∗ l x. gx qx − ξ ∗ p x − η ∗ p x q ∗ l x − 2 2 2 2 2 2 2 3.32 Pair f, g defined by fomulae 3.29 and 3.32 is a solution in closed form in L1 R × L1 R of system 3.17. 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