Hindawi Publishing Corporation Abstract and Applied Analysis Volume 2011, Article ID 634675, 11 pages doi:10.1155/2011/634675 Review Article Some Identities on the q-Integral Representation of the Product of Several q-Bernstein-Type Polynomials Taekyun Kim Department of Mathematics, Kwangwoon University, Seoul 139-701, Republic of Korea Correspondence should be addressed to Taekyun Kim, tkkim@kw.ac.kr Received 28 August 2011; Accepted 5 November 2011 Academic Editor: Pavel Drábek Copyright q 2011 Taekyun Kim. 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 purpose of this paper is to give some properties of several q-Bernstein-type polynomials to express the q-integral on 0, 1 in terms of q-beta and q-gamma functions. Finally, we derive some identities on the q-integral of the product of several q-Bernstein-type polynomials. 1. Introduction Let q ∈ R with 0 ≤ q < 1. We assume that q-number is defined by xq 1 − qx /1 − q and 0q 0. Note that limq → 1 xq x. The q-derivative of a map f : R → R at x ∈ R \ {0} is given by dq fx f qx − fx Dq f dq x q−1 x 1.1 see 1–6. For n ∈ N, by 1.1, we get Dqn xn nq n−1q · · · 2q 1q n1 !. The q-binomial formula is given by a bnq n−1 a bq i0 i n n l0 l q l 2 an−l bl q see 2, 5, 7–11, where nk q nq !/kq !n − kq ! nq n − 1q · · · n − k 1q /kq !. 1.2 2 Abstract and Applied Analysis For a, b ∈ R, the Jackson q-integral of f : R → R is defined by b ∞ fxdq x 1 − q qn bf bqn − af aqn a 1.3 n0 see 1, 2, 5, 6, 9, 12, 13. From 1.2, we note that n1 k n q k−1 q k n k q q n n−k k−1 q n q k . 1.4 q By 1.2 and 1.4, we get 1 − bnq b:q n n−1 1−qb i n n i0 i0 1 1 1 n−1 i 1 − bnq b:q n i0 1 − q b i i q 2 −bi , q 1.5 ∞ ni−1 i0 i bi . q Let C0, 1 denote the set of continuous function on 0, 1. For f ∈ C0, 1, Bernstein introduced the following well-known linear operators see 1, 4, 9, 11, 14: n n n k k xk 1 − xn−k Bn f | x f f Bk,n x. n n k k0 k0 1.6 Here Bn f | x is called Bernstein operator of order n for f. For k, n ∈ Z N ∪ {0}, the Bernstein polynomials of degree n are defined by Bk,n x n k xk 1 − xn−k 1.7 see 1, 3, 4, 11–14. By the definition of Bernstein polynomials see 1.6 and 1.7, we can see that Bernstein basis is the probability mass function of binomial distribution. A Bernoulli trial involves performing an experiment once and noting whether a particular event A occurs. The outcome of Bernoulli trial is said to be “success” if A occurs and a “failure” otherwise. Let k be the number of successes in n independent Bernoulli trials, the probabilities of k are given by the binomial probability law: pn k n k n−k , pk 1 − p for k 0, 1, . . . , n, 1.8 Abstract and Applied Analysis 3 where pn k is the probability of k successes in n trials. For example, a communication system transmits binary information over channel that introduces random bit errors with probability ξ 10−3 . The transmitter transmits each information bit three times, an a decoder takes a majority vote of the received bits to decide on what the transmitted bit was. The receiver can correct a single error, but it will make the wrong decision if the channel introduces two or more errors. If we view each transmission as a Bernoulli trial in which a “success” corresponds to the introduction of an error, then the probability of two or more errors in three Bernoulli trials is pk ≥ 2 3 2 0.001 0.999 2 3 3 0.0013 ≈ 3 10−6 , 1.9 see 9. Based on the q-integers Phillips introduced the q-analogue of well-known Bernstein polynomials see 4, 5, 9, 11, 15. For f ∈ C0, 1, Phillips introduced the q-extension of 1.6 as follows: Bn,q f | x n f n nq n0 n f kq kq nq n0 k 1 − xn−k q q 1.10 Bk,n x, q , for k, n ∈ Z see 4, 5, 9, 11, 15. Here Bn,q f | x is called the q-Bernstein operator of order n for f. For k, n ∈ Z , the q-Bernstein polynomial of degree n is defined by Bk,n x, q n k xk 1 − xn−k q , where x ∈ 0, 1. 1.11 q Note that 1.11 is the q-extension of 1.7. That is, limq → 1 Bk,n x, q Bk,n x. For example, B0,1 x, q 1 − x, B1,1 x, q x, and B0,2 x, q 1 − 2q x qx2 , . . .. Also Bk,n x, q 0 for k > n, because nk q 0. For n, k ∈ Z , its probabilities are given by px k n k xk 1 − xn−k q , where x ∈ 0, 1. 1.12 q This distributions are studied by several authors and they have applications in physics as well as in approximation theory due to the q-Bernstein polynomials and the q-Bernstein operators see 1–16. By the definition of the q-Bernstein polynomials, we easily see that 4 Abstract and Applied Analysis the q-Bernstein basis is the probability mass function of q-binomial distribution. In this paper we use the two q-analogues of exponential function as follows: Eq x ∞ ∞ n xn q 2 1−q x :q ∞ 1 1−q x q , nq ! n0 ∞ xn 1 1 , eq x ∞ nq ! 1−q x :q ∞ 1 1−q x q n0 1.13 1.14 see 2–4, 6, 10. From 1.3, the improper q-integral is given by ∞/A 0 n qn q f fxdq x 1 − q A A n∈Z 1.15 see 6, where the improper q-integral depends on A. The purpose of this paper is to give some properties of several q-Bernstein type polynomials to express the q-integral on 0, 1 in terms of q-beta and q-gamma functions. Finally, we derive some identities on the q-integral of the product of several q-Bernstein type polynomials. 2. q-Integral Representation of q-Bernstein Polynomials The gamma and beta functions are defined as the following definite integrals α > 0, β > 0: Γα ∞ e−t tα−1 dt, 2.1 0 see 1–11, 14–16 B α, β 1 t α−1 1 − t β−1 dt ∞ 0 0 tα−1 1 tαβ dt. 2.2 From 2.1 and 2.2, we can derive the following equations: Γα 1 αΓα, ΓαΓ β B α, β . Γ αβ 2.3 As the q-extensions of 2.1 and 2.2, the q-gamma and q-beta functions are defined as the following q-integrals α > 0, β > 0: Γq α 1/1−q 0 xα−1 Eq −qx dq x 2.4 Abstract and Applied Analysis 5 see 2–6, 10, Bq α, β 1 0 β−1 xα−1 1 − qx q dq x 2.5 see 2, 4, 6, 10. By 2.4 and 2.5, we obtain the following lemma. Lemma 2.1 see 2, 6. a Γq can be equivalently expressed as Γq α 1−q 1−q α−1 q 2.6 where α > 0. α−1 , In particular, one has Γq α 1 αq Γq α, for α > 0, Γq 1 1. 2.7 b The q-gamma and q-beta functions are related to each other by the following two equations: Γq αΓq β Bq α, β , Γq α β Bq α, ∞ Γq α α , 1−q where α > 0, β > 0. 2.8 Now one takes the q-integral for one q-Bernstein polynomial as follows: for n, k ∈ Z , q −k 1 Bk,n qx, q dq x 0 1 n k q 0 n−k xk 1 − qx q dq x n−k n − k n k l q l0 l q l0 −1 q l1 2 1 xlk dq x 0 q n−k n − k n k l −1 n−k−l q n−k−l1 2 q 2.9 1 . n − l 1q Therefore, by 2.9, one obtains the following proposition. Proposition 2.2. For n, k ∈ Z , one has 1 0 Bk,n qx, q dq x q k n−k n − k n k q l0 l −1n−k−l q q n−k−l1 2 1 . n − l 1q 2.10 6 Abstract and Applied Analysis The Proposition 2.2 is closely related to the q-beta function which is given by Bq n, m 1 0 Γq m m−1 xn−1 1 − qx q dq x, 1/1−q xn−1 Eq −qx dq x, 2.11 2.12 0 see 2.5. From Lemma 2.1, one has Bq n, m Γq mΓq n , Γq n m where m, n ∈ N. 2.13 By 2.9 and 2.13, one gets q −k 1 Bk,n qx, q dq x n 0 k Bq k 1, n − k 1 q n Γq k 1Γq n − k 1 , Γq n 2 k 2.14 where k > −1, n > k − 1. q Therefore, by 2.14, one obtains the following theorem. Theorem 2.3. For n, k ∈ Z with k > −1 and n > k − 1, one has 1 Bk,n qx, q dq x n 0 k kq n − kq q Γq kΓq n − k . q − 1 kq 1 Γq n 2 2.15 By comparing the coefficients on the both sides of Proposition 2.2 and Theorem 2.3, one obtains the following corollary. Corollary 2.4. For n, k ∈ Z with k > −1 and n > k − 1, one has n−k n − k l0 l q n−k−l1 2 Γq k 1Γq n − k 1 q . −1n−k−l Γq n 2 n − l 1q 2.16 Abstract and Applied Analysis 7 According to this result one can say that the q-integral of q-Bernstein polynomials from 0 to 1 is symmetric. Now one considers the q-integral for the multiplication of two q-Bernstein polynomials which is given by the following relation: 1 0 Bk,n qx, q Bk,mqn−k1 x,qdq x qnk−k2 2k 1 m n k k q 0 q 1 m n k k q 0 q nm−2k x2 k 1 − qx q dq x 2.17 2k unm−2k 1 − qu q dq u. For n, k, m ∈ Z , one can derive the following equation 2.20 from 2.17: 1 0 Bk,n qx, q Bk,m q n−k1 x, q dq x qnk−k2 2k 2k l 2k m n l q −1 q k k q q l0 k q q l0 n m l − 2k 1q 2k−l 2k 2k q n m l q −1 k l1 2 2k−l1 2 2.18 . n m − l 1q Therefore, one obtains the following theorem. Theorem 2.5. For m, n, k ∈ Z , one has 1 Bk,n qx, q Bk,m qn−k1 x, q dq x q 2k−l 2k 2k q n m l q −1 nk−k2 2k k 0 k q q l0 2k−l1 2 n m − l 1q . 2.19 For m, n, k ∈ Z , by 2.5 and 2.9, one gets 1 0 Bk,n qx, q Bk,m qn−k1 x, q dq x qnk−k2 2k n m k q k Bq n m − 2k 1, 2k 1. 2.20 q Therefore, by Theorem 2.5 and 2.20, one obtains the following corollary. Corollary 2.6. For k > −1 and n m − 2k > −1, one has 2k l0 2k l −12k−l q q 2k−l1 2 n m − l 1q Γq n m − 2k 1Γq 2k 1 . Γq n m 2 2.21 8 Abstract and Applied Analysis By the same method, the multiplication of three q-Bernstein polynomials is given by the following relation: for k, n, m, s ∈ Z , 1 0 Bk,n qx, q Bk,m qn−k1 x, q Bk,s qnm−2k1 x, q dq x q3k2nk−3k2 mk 1 m s n nms−3k x3k 1 − qx q dq x k q k q k q 0 1 m s n k q k q k 3k unms−3k 1 − qu q dq u 0 q 3k m s 3k n k q k q k l q l0 q q k q k l q l0 −1l 1 unms−3kl dq u 0 q 3k m s 3k n k l1 2 2.22 q 3k−l1 2 −1l3k q 1 . n m s − l 1q Therefore, by 2.22, one obtains the following theorem. Theorem 2.7. For n, m, s, k ∈ Z , one has 1 Bk,n qx, q Bk,m qn−k1 x, q Bk,s qnm−2k1 x, q dq x 0 q 3k2nk−3k2 mk 3k n m s 3k k q k q k q l0 l q 3k−l1 2 q −1l3k . n m s − l 1q 2.23 From 2.5 and 2.22, one has 1 0 Bk,n qx, q Bk,m qn−k1 x, q Bk,s qnm−2k1 x, q dq x q3k2nk−3k2 mk m s n Bq n m s − 3k 1, 3k 1. k q k q k q 2.24 Therefore, by Theorem 2.7 and 2.24, one obtains the following corollary. Corollary 2.8. For k > −1/3 and n m s − 3k > −1, one has 3k 3k k0 l q 3k−l1 Γq n m s − 3k 1Γq 3k 1 −1l3k q 2 . Γq n m s 2 n m s − l 1q 2.25 Abstract and Applied Analysis 9 For s ∈ N, let n1 , n2 , . . . , ns , k ∈ Z . Then one has 1 0 i s−1 l1 nl −ik1 x, q d x q Bk,n1 qx, q B k,n q i1 i1 s−1 2 s qskk i1 ins−i −k 2 1 n1 n2 ns n ···ns −sk ··· xsk 1 − qx q 1 dq x k q k q k q 0 n1 n2 k k q ··· k q k q n2 n1 k sk sk ns ··· l q l0 −1l q k l q l0 1 q 2.26 xn1 ···ns −skl dq x 0 q sk sk ns q l1 2 sk−l1 −1lsk q 2 . n1 · · · ns − l 1q Therefore, by 2.26, one obtains the following theorem. Theorem 2.9. For s ∈ N, let n1 , n2 , . . . , ns , k ∈ Z . Then one has 1 Bk,n1 s−1 i nl −ik1 l1 Bk,ni1 q x, q dq x qx, q 0 i1 s−1 s qskk i1 ins−i −k 2 2 n1 k ··· q lsk sk sk q ns l q −1 k q l0 sk−l1 2 2.27 n1 · · · ns − l 1q . By 2.5 and 2.26, we get 1 0 i s−1 l1 nl −ik1 x, q d x q Bk,n1 qx, q B k,n q i1 i1 s−1 2 s qskk i1 ins−i −k 2 n1 n2 ns ··· Bq sk 1, n1 · · · ns − sk 1 k q k q k q n2 n1 k q k q 2.28 ns Γq sk 1Γq n1 · · · ns − sk 1 . ··· Γq n1 · · · ns 2 k q By comparing the coefficients on the both sides of Theorem 2.9 and 2.28, one obtains the following corollary. Corollary 2.10. For s ∈ N, let k > −1/s and n1 · · · ns − sk > −1. Then one has sk l0 sk l −1lsk q q sk−l1 2 n1 · · · ns − l 1q Γq sk 1Γq n1 · · · ns − sk 1 . Γq n1 · · · ns 2 2.29 10 Abstract and Applied Analysis For n ∈ Z , one gets 1 0 n nl− l 1 2 B0,n qx, q B x, q dq x q l,n l1 q n l1 nl− l 1l 2 ⎛ ⎞ 1 n n n1 n1 2 ⎠ ⎝ 2 x dq x 1 − qx q i q 0 i0 ⎛ ⎞ n n n1 n1 ⎠ ⎝ Bq 1, 1 i q 2 2 i0 2.30 ⎛ n1 ⎞ 2 Γq n 1 Γq nn 1/2 1 . ⎝ 2 ⎠ n Γq nn 1 2 Γ 1 i q i1 Therefore, by 2.30, one obtains the following theorem. Theorem 2.11. For n ∈ Z , one has 1 B0,n n nl− l 1 2 dq x Bl,n q x, q qx, q 0 l1 q ⎛ l l1 nl− 2 1l ⎝ n n1 ⎞ 2 Γq n 1 Γq nn 1/2 1 ⎠ . 2 n Γq nn 1 2 i1 Γq i 1 2.31 From 2.30, one can also derive the following equation: 1 0 n nl− l 1 2 q B0,n qx, q B x, q dq x l,n l1 q n l1 nl− l 1l 2 ⎞ ⎛ ⎞n1 n1 1 n 2 n n1 l l1 ⎜ ⎟ l ⎝ ⎠ 2 x 2 dq x ⎝ ⎠ −1 q 2 i q l0 0 i0 l q ⎛ ⎞ ⎛ ⎞n1 n1 n 2 n l1 1 ⎜ ⎟ l ⎝ ⎠ 2 . ⎝ ⎠ −1 q 2 1/2 l 1q nn i q l0 i0 l q ⎛ 2.32 Abstract and Applied Analysis 11 By comparing the coefficients on the both sides of Theorem 2.11 and 2.30, one can see that nn1/2 nn1/2 l q −1l q l1 2 nn 1/2 l 1q l0 Bq nn 1 nn 1 1, 1 . 2 2 2.33 Therefore, by 2.33, one obtains the following corollary. Corollary 2.12. For n ∈ Z , one has nn1/2 l0 nn1/2 l q −1l q l1 2 nn 1/2 l 1q Γq nn 1/2 1 Γq nn 1 2 2 . 2.34 References 1 S. Araci, D. Erdal, and J. 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