Application of Faber polynomials to approximate solution of the Riemann problem

In the paper, Faber polynomials are used to derive an approximate solution of the Riemann problem on a Lyapunov curve. Moreover, an estimation of the error of the approximated solution is presented and proved.

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Datum:2016
Hauptverfasser: Pylak, D., Sheshko, M. A., Wójcik, P., Пилак, Д., Шешко, М. А., Войчик, П.
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Sprache:Englisch
Veröffentlicht: Institute of Mathematics, NAS of Ukraine 2016
Online Zugang:https://umj.imath.kiev.ua/index.php/umj/article/view/1954
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Назва журналу:Ukrains’kyi Matematychnyi Zhurnal
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Ukrains’kyi Matematychnyi Zhurnal
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author Pylak, D.
Sheshko, M. A.
Wójcik, P.
Пилак, Д.
Шешко, М. А.
Войчик, П.
author_facet Pylak, D.
Sheshko, M. A.
Wójcik, P.
Пилак, Д.
Шешко, М. А.
Войчик, П.
author_sort Pylak, D.
baseUrl_str https://umj.imath.kiev.ua/index.php/umj/oai
collection OJS
datestamp_date 2019-12-05T09:32:42Z
description In the paper, Faber polynomials are used to derive an approximate solution of the Riemann problem on a Lyapunov curve. Moreover, an estimation of the error of the approximated solution is presented and proved.
first_indexed 2026-03-24T02:15:54Z
format Article
fulltext UDC 517.5 M. A. Sheshko, D. Pylak, P. Wójcik (John Paul II Catholic Univ. Lublin, Poland) APPLICATION OF FABER POLYNOMIALS TO APPROXIMATE SOLUTION OF THE RIEMANN PROBLEM ЗАСТОСУВАННЯ ПОЛIНОМIВ ФАБЕРА ДО НАБЛИЖЕНОГО РОЗВ’ЯЗАННЯ ПРОБЛЕМИ РIМАНА In the paper, Faber polynomials are used to derive an approximate solution of the Riemann problem on a Lyapunov curve. Moreover, an estimation of the error of the approximated solution is presented and proved. Полiноми Фабера застосовано для отримання наближеного розв’язку проблеми Рiмана на кривiй Ляпунова. Наве- дено i обґрунтовано оцiнку похибки цього наближеного розв’язку. 1. Introduction. Let L be a closed Lyapunov curve on the complex plane and G(t) \not = 0 and g(t) be given functions of Hölder continuous class H(\mu ), 0 < \mu \leq 1, defined on L. The Riemann boundary-value problem for analytic functions consists in finding a pair of functions F+(z), z \in D+, and F - (z), z \in D - , analytic on the inside (D+) and outside (D - ) of the curve L, respectively, such that the following condition is fulfilled F+(t) = G(t)F - (t) + g(t), F - (\infty ) = 0, t \in L. (1) Let us recall that a simple continuous curve is called Lyapunov curve if it satisfies the following conditions: (i) at every point of L there exists a well-defined tangent, (ii) the angle \theta (s) between OX axis and the tangent to L at the point M whose distance from a fixed point, measured along the curve L, is equal to s, satisfies | \theta (s2) - \theta (s1)| \leq k| s1 - s2| \alpha , 0 < \alpha \leq 1. The Riemann problem (1) has numerous applications [8, 22, 6, 21]. The main arise in the theory of singular integral equations. The homogeneous Riemann problem \bigl( g(t) \equiv 0 \bigr) was first considered by Hilbert [11], and the nonhomogeneous problem (1) by Privalov [23]. They reduced it to the problem of solving integral equations. Next, Gakhov in the monograph [7] presented an effective solution of (1) in terms of Cauchy type integrals. We will recall this solution. Let \varkappa = \mathrm{I}\mathrm{n}\mathrm{d}G(t) \geq 0, then the solution has the following form [8, 22]: F\pm (z) = X\pm (z) \bigl( \Psi \pm (z) + P\varkappa - 1(z) \bigr) , (2) where X+(z) = \mathrm{e}\mathrm{x}\mathrm{p}\Gamma +(z), z \in D+, X - (z) = z - \varkappa \mathrm{e}\mathrm{x}\mathrm{p}\Gamma - (z), z \in D - , (3) P\varkappa - 1(z) = \gamma 0 + \gamma 1z + . . .+ \gamma \varkappa - 1z \varkappa - 1, and \gamma 0, \gamma 1, . . . , \gamma \varkappa - 1 are arbitrary constants. Here c\bigcirc M. A. SHESHKO, D. PYLAK, P. WÓJCIK, 2016 1696 ISSN 1027-3190. Укр. мат. журн., 2016, т. 68, № 12 APPLICATION OF FABER POLYNOMIALS TO APPROXIMATE SOLUTION OF THE RIEMANN PROBLEM 1697 \Gamma \pm (z) = 1 2\pi i \int L \mathrm{l}\mathrm{n} \bigl( \tau - \varkappa G(\tau ) \bigr) \tau - z d\tau , z \in D+, (4) and \Psi \pm (z) = 1 2\pi i \int L g(\tau ) X+(\tau ) d\tau \tau - z , z \in D+. (5) If \varkappa < 0 then the solution F\pm (z), given by the formula (2) with P\varkappa - 1(z) \equiv 0, exists if and only if the following conditions hold:\int L g(\tau ) X+(\tau ) \tau j - 1 d\tau = 0, j = 1, 2, . . . , | \varkappa | . (6) Over the last decades the Riemann problem has been intensively investigated. Many generaliza- tions and modifications can be found in the literature [6, 20]. One of the most famous problem is the nonlinear conjugation problem of power type [3, 21]. Many research has been done under various as- sumptions about the curve and coefficients [13, 14]. However, even in the classical Riemann problem the Cauchy-type integrals occurring in (4), (5) have very complicated forms. Their exact values can be calculated only in special cases. Therefore, to solve the problem (1), we apply the approximate methods [2]. Well-known numerical solutions of the problem (1) have been constructed for the case of zero index and the case when the contour is a circle or a segment of a real line [24, 25]. In this paper Faber polynomials are used to derive an approximate solution of the boundary problem (1) on any Lyapunov curve in the case of an arbitrary index. Moreover, the convergence of the approximate solution is proved and the rate of convergence is established. Faber polynomials and their numerous modifications are a very useful tool in modern investigation of analytic functions [18, 25] and approximation theory. One can find their applications to a numerical solution of the Dirichlet problem in the plane [4], approximate solutions of singular integral equations [17, 26] and many other numerical methods for analytic functions (see monograph by P. K. Suetin [25] and papers [1, 5, 9, 10, 12, 15, 16, 19]). 2. Approximate solution. If \varkappa > 0 then the right-hand side of the formula (2) contains \varkappa arbitrary constants. Therefore, we have to find the conditions for the uniqueness of the solution. In our opinion, the most convenient conditions are the following: - \mathrm{R}\mathrm{e}\mathrm{s} z=\infty \bigl( F - (z)zj - 1 \bigr) = Aj , j = 1, 2, . . . ,\varkappa , (7) where Aj , j = 1, 2, . . . ,\varkappa , are given numbers. By (2), taking into account the Laurent expansions of X - (z) and \Psi - (z) about the point z = \infty , i.e., X - (z) = 1 z\varkappa \Bigl( 1 + p1 z + p1 z2 + . . . \Bigr) , \Psi - (z) = h1 z + h2 z2 + . . . , ISSN 1027-3190. Укр. мат. журн., 2016, т. 68, № 12 1698 M. A. SHESHKO, D. PYLAK, P. WÓJCIK from (7) we derive the system of linear equations A1 = \gamma \varkappa - 1, A2 = p1\gamma \varkappa - 1 + \gamma \varkappa - 2, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A\varkappa = p\varkappa - 1\gamma \varkappa - 1 + p1\gamma 1 + . . .+ \gamma 0. It enables us to compute the unknown coefficients \gamma 0, \gamma 1, . . . , \gamma \varkappa - 1. In what follows, it will be convenient to have an expansion in Faber series of the function F\pm (z) defined by (2). For this purpose, we first find the expansion of the function \Gamma \pm (z) . By Theorem 6 from [25, p. 192] we obtain \Gamma +(z) = \infty \sum k=0 ak\Phi k(z), z \in D+, (8) where ak = 1 2\pi i \int L \mathrm{l}\mathrm{n} \bigl( \tau - \varkappa G(\tau ) \bigr) \Phi k+1(\tau ) \Phi \prime (\tau ) d\tau = 1 2\pi i \int | t| =1 \mathrm{l}\mathrm{n} \bigl[ (\varphi (t)) - \varkappa G(\varphi (t)) \bigr] tk+1 d\tau , and \Gamma - (z) = \infty \sum k=1 bk \Phi k(z) , z \in D - , (9) where bk = 1 2\pi i \int L \mathrm{l}\mathrm{n} \bigl( \tau - \varkappa G(\tau ) \bigr) \Phi k - 1(\tau )\Phi \prime (\tau ) d\tau = 1 2\pi i \int | t| =1 \mathrm{l}\mathrm{n} \bigl[ \varphi - \varkappa (t)G(\varphi (t)) \bigr] tk - 1 d\tau . The function w = \Phi (z) is a Riemann mapping, i.e., a conformal and univalent mapping from D - of \BbbC z onto the exterior of the unit circle | w| > 1 of \BbbC w, while \varphi (t) is a limit value of the inverse function z = \varphi (w), and \Phi k(z), k = 0, 1, . . . , are the Faber polynomials on the area D+. Similarly as in the previous case, we have the following expansions: \Psi +(z) = \infty \sum k=0 ck\Phi k(z), z \in D+, (10) \Psi - (z) = \infty \sum k=1 dk \Phi k(z) , z \in D - , (11) where ck = 1 2\pi i \int | t| =1 g \bigl( \varphi (t) \bigr) X+ \bigl( \varphi (t) \bigr) d\tau tk+1 , dk = 1 2\pi i \int | t| =1 g \bigl( \varphi (t) \bigr) X+ \bigl( \varphi (t) \bigr) tk - 1d\tau . ISSN 1027-3190. Укр. мат. журн., 2016, т. 68, № 12 APPLICATION OF FABER POLYNOMIALS TO APPROXIMATE SOLUTION OF THE RIEMANN PROBLEM 1699 Thus, in the case of nonnegative index \varkappa \geq 0, the desired functions F\pm (z) can be expressed as F+(z) = \mathrm{e}\mathrm{x}\mathrm{p} \Biggl( \infty \sum k=0 ak\Phi k(z) \Biggr) \Biggl( \infty \sum k=0 ck\Phi k(z) + P\varkappa - 1(z) \Biggr) , z \in D+, F - (z) = z - \varkappa \mathrm{e}\mathrm{x}\mathrm{p} \Biggl( \infty \sum k=1 bk \Phi k(z) \Biggr) \Biggl( \infty \sum k=1 dk \Phi k(z) + P\varkappa - 1(z) \Biggr) , z \in D - . As the approximate solution of the problem (1), (7), we take the function F\pm n (z) = X\pm n (z) \bigl( \Psi \pm n + P\varkappa - 1(z) \bigr) , z \in D\pm , (12) where X+ n (z) = \mathrm{e}\mathrm{x}\mathrm{p}\Gamma + n (z), X - n (z) = z - \varkappa \mathrm{e}\mathrm{x}\mathrm{p}\Gamma - n (z), \Gamma + n (z) = n\sum k=0 ak\Phi k(z), \Gamma - n (z) = n\sum k=1 bk \Phi k(z) , (13) and \Psi + n (z) = n\sum k=0 c\ast k\Phi k(z), \Psi - n (z) = n\sum k=1 d\ast k \Phi k(z) , c\ast k = 1 2\pi i \int | t| =1 g (\varphi (t)) X+ n (\varphi (t)) d\tau tk+1 , d\ast k = 1 2\pi i \int | t| =1 g (\varphi (t)) X+ n (\varphi (t)) tk - 1d\tau . If \varkappa < 0 then an approximate solution of the problem (1) can be found from the boundary condition F+ n (t) = Gn(t)F - n (t) + g(t) +X+ n (t) \Bigl( q1 t + q2 t2 + . . .+ q| \varkappa | t| \varkappa | \Bigr) , t \in L, (14) where Gn(t) = X+ n (t) \bigl( X - n (t) \bigr) - 1 , and the functions X\pm n (t) are defined by (13). The coefficients q1, q2, . . . , q| \varkappa | should be chosen in such a way that the solvability conditions for Eq. (14) are satisfied. These conditions, by (6), have the form 1 2\pi i \int L \Bigl( q1 \tau + q2 \tau 2 + . . .+ q| \varkappa | \tau | \varkappa | \Bigr) \tau j - 1 d\tau = - 1 2\pi i \int L g(\tau ) X+ n (\tau ) \tau j - 1 d\tau , j = 1, 2, . . . , | \varkappa | . Hence, we obtain qj = - 1 2\pi i \int L g(\tau ) X+ n (\tau ) \tau j - 1 d\tau , j = 1, 2, . . . , | \varkappa | . In accordance with (2), the solution of the problem (14) has the following structure: F\pm n (z) = X\pm n (z)\Psi \pm n (z), z \in D\pm , (15) ISSN 1027-3190. Укр. мат. журн., 2016, т. 68, № 12 1700 M. A. SHESHKO, D. PYLAK, P. WÓJCIK where X\pm n (t) are defined by (13), and \Psi + n (z) = n\sum k=0 \alpha k\Phi k(z), \Psi - n (z) = n\sum k=1 \beta k \Phi k(z) , \alpha k = 1 2\pi i \int | t| =1 Hn(t) dt tk+1 , \beta k = 1 2\pi i \int | t| =1 Hn(t)t k - 1 dt, and Hn(t) = g \bigl( \varphi (t) \bigr) X+ n \bigl( \varphi (t) \bigr) + q1 \varphi (t) + q2\bigl( \varphi (t) \bigr) 2 + . . .+ q| \varkappa | \bigl( \varphi (t) \bigr) | \varkappa | . 3. Estimation of errors. Now we will provide the error estimations of the approximate solutions obtained above. Let the function G\ast (t) = \mathrm{l}\mathrm{n}(t - \varkappa G(t)), t \in L, be continuously differentiable up to the order r and the rth derivative fulfill the Hölder inequality with the constant 0 < \mu < 1. Then we say that the function G\ast (t) belongs to the class W rH\mu . According to [25, p. 262] we have\bigm| \bigm| \bigm| \bigm| \bigm| \Gamma +(z) - n\sum k=0 ak\Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| \leq K1 \mathrm{l}\mathrm{n}(n) nr+\mu , z \in D+, (16) \bigm| \bigm| \bigm| \bigm| \bigm| \Gamma - (z) - n\sum k=1 bk \Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| \leq K2 \mathrm{l}\mathrm{n}(n) nr+\mu , z \in D - , (17) where Kj are constants independent of n. Taking into account the inequality | 1 - ez| \leq (e - 1) | z| , | z| \leq 1, and using the maximum modulus principle, we obtain \bigm| \bigm| X\pm (z) - X\pm n (z) \bigm| \bigm| \leq \mathrm{m}\mathrm{a}\mathrm{x} t\in L \bigm| \bigm| X\pm (z) - X\pm n (z) \bigm| \bigm| \leq K3 \mathrm{l}\mathrm{n}n nr+\mu , z \in D\pm . Similarly, we get the estimations for (16) and (17), i.e.,\bigm| \bigm| \bigm| \bigm| \bigm| \Psi +(z) - n\sum k=0 ck\Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| \leq K4 \mathrm{l}\mathrm{n}n nr+\mu , z \in D+, \bigm| \bigm| \bigm| \bigm| \bigm| \Psi - (z) - n\sum k=1 dk \Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| \leq K5 \mathrm{l}\mathrm{n}n nr+\mu , z \in D - , whenever g(t) \in W rH\mu . To estimate the modulus \bigm| \bigm| \Psi \pm (z) - \Psi \pm n (z) \bigm| \bigm| , we first estimate the difference n\sum k=0 ck\Phi k(z) - n\sum k=0 c\ast k\Phi k(z). By [25, p. 155], we have ISSN 1027-3190. Укр. мат. журн., 2016, т. 68, № 12 APPLICATION OF FABER POLYNOMIALS TO APPROXIMATE SOLUTION OF THE RIEMANN PROBLEM 1701\bigm| \bigm| \bigm| \bigm| \bigm| n\sum k=0 ck\Phi k(z) - n\sum k=0 c\ast k\Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| \leq \leq 1 2\pi \int L \bigm| \bigm| \bigm| \bigm| \bigm| g(\tau )X+ n (\tau ) - X+(\tau ) X+(\tau )X+ n (\tau ) n\sum k=0 \Phi k(z) \Phi k+1(\tau ) \Phi \prime (\tau ) \bigm| \bigm| \bigm| \bigm| \bigm| | d\tau | \leq \leq K6 \mathrm{l}\mathrm{n}n nr+\mu \int L \bigm| \bigm| \bigm| \bigm| \bigm| n\sum k=0 \Phi k(z) \Phi k+1(\tau ) \bigm| \bigm| \bigm| \bigm| \bigm| \bigm| \bigm| \Phi \prime (\tau ) \bigm| \bigm| | d\tau | \leq K7 \mathrm{l}\mathrm{n}2 n nr+\mu , z \in L. From the above, we obtain\bigm| \bigm| \bigm| \bigm| \bigm| n\sum k=1 dk \Phi k(z) - n\sum k=1 d\ast k \Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| \leq K8 \mathrm{l}\mathrm{n}2 n nr+\mu , z \in L. Hence, we get \bigm| \bigm| \Psi +(z) - \Psi + n (z) \bigm| \bigm| = \bigm| \bigm| \bigm| \bigm| \bigm| \infty \sum k=0 ck\Phi k(z) - n\sum k=0 c\ast k\Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| \leq \leq \bigm| \bigm| \bigm| \bigm| \bigm| \infty \sum k=0 ck\Phi k(z) - n\sum k=0 ck\Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| + \bigm| \bigm| \bigm| \bigm| \bigm| n\sum k=0 ck\Phi k(z) - n\sum k=0 c\ast k\Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| \leq \leq K9 \mathrm{l}\mathrm{n}2 n nr+\mu , z \in D+, and \bigm| \bigm| \Psi - (z) - \Psi - n (z) \bigm| \bigm| = \bigm| \bigm| \bigm| \bigm| \bigm| \infty \sum k=1 dk \Phi k(z) - n\sum k=1 d\ast k \Phi k(z) \bigm| \bigm| \bigm| \bigm| \bigm| \leq K10 \mathrm{l}\mathrm{n}2 n nr+\mu , z \in D - . Now we can estimate the modulus \bigm| \bigm| F\pm (z) - F\pm n (z) \bigm| \bigm| . We obtain\bigm| \bigm| F\pm (z) - F\pm n (z) \bigm| \bigm| = = \bigm| \bigm| X\pm (z) \bigl( \Psi \pm (z) + P\varkappa - 1(z) \bigr) - X\pm n (z) \bigl( \Psi \pm n (z) + P\varkappa - 1(z) \bigr) \bigm| \bigm| = = \bigm| \bigm| \bigl( X\pm (z)\Psi \pm (z) - X\pm n (z)\Psi \pm (z) \bigr) + \bigl( X\pm n (z)\Psi \pm (z) - X\pm n (z)\Psi \pm n (z) \bigr) + + \bigl( X\pm (z) - X\pm n (z) \bigr) P\varkappa - 1(z) \bigm| \bigm| \leq K11 \mathrm{l}\mathrm{n}2 n nr+\mu , z \in D\pm . (18) Remark 1. If \varkappa < 0 then the estimation (18) holds as well. We have thereby proved the following theorem. Theorem 1. Let the functions G\ast (t) = \mathrm{l}\mathrm{n}(t - \varkappa G(t)) and g(t) appearing in (1) belong to the class W rH\mu , r \geq 0, 0 < \mu < 1, and let F\pm (z), F\pm n (z) denote the exact and approximate solutions (2) and (12), respectively. Then the estimation (18) holds. ISSN 1027-3190. Укр. мат. журн., 2016, т. 68, № 12 1702 M. A. SHESHKO, D. PYLAK, P. WÓJCIK 4. Numerical experiment. Let L be an ellipse with foci \pm 1 and semiaxes a = 5 4 and b = 3 4 . We find the exact and approximate solutions of the following Riemann problem: F+(t) = t t2 - 1 F - (t) + t3 - t2 + 1 t(t - 1) , t \in L. Here G(t) = t t2 - 1 , g(t) = t3 - t2 + 1 t(t - 1) . Moreover, the ellipse L can be expressed by the equation t = 1 2 \biggl( 2ei\theta + 1 2 e - i\theta \biggr) , 0 \leq \theta \leq 2\pi . Functions \Phi (z) and \varphi (w) have the forms w = \Phi (z) = 1 2 \Bigl( z + \sqrt{} z2 - 1 \Bigr) , z = \varphi (w) = 1 2 \biggl( 2w + 1 2w \biggr) . Furthermore, in this case Faber polynomials have the form \Phi n(z) = 2 Rn Tn(z), n = 1, 2, . . . , where Tn(x), - 1 \leq x \leq 1 are the Chebyshev polynomials of the first kind. It can be easily obtained that the index \varkappa = - 1 and the conditions of solvability (6) are satisfied. Applying the formulae (3) – (5) we have \Gamma +(z) = 0, z \in D+, \Gamma - (z) = - \mathrm{l}\mathrm{n} z2 z2 - 1 , z \in D - , X+(z) = 1, z \in D+, X - (z) = z - 1 z , z \in D - , \Psi +(z) = z, z \in D+, \Psi - (z) = - 1 z(z - 1) , z \in D - . Finally from (2), with P\varkappa - 1(z) \equiv 0, we obtain F+(z) = z, z \in D+, F - (z) = - z + 1 z2 , z \in D - . To find the approximate solution, we determine the functions \Gamma + n (z), \Gamma - n (z) and \Psi + n (z), \Psi - n (z) as follows: \Gamma + n (z) = 0, z \in D+, \Gamma - n (z) = Ent n+2 4\sum k=1 - 4 (2k - 1)(z + \surd z2 - 1)4k - 2 , z \in D - , \Psi +(z) = z, z \in D+, \Psi - (z) = n\sum k=1 ik - 1(1 - ( - 1)k) - 2k (z + \surd z2 - 1)k , z \in D - . The approximate solution F\pm n (z) can be obtained from (15). The exact and approximate values of the function F - (z) for chosen points in D - with n = 20, are presented in Table 1. ISSN 1027-3190. Укр. мат. журн., 2016, т. 68, № 12 APPLICATION OF FABER POLYNOMIALS TO APPROXIMATE SOLUTION OF THE RIEMANN PROBLEM 1703 Table 1 t = 2.00 F - (t) = - 0.7500000000 F - n (t) = - 0.7499999999 t = 1.62 + 0.71i F - (t) = - 0.7378050367 + 0.4615476936i F - n (t) = - 0.7378050374 + 0.4615476937i t = 0.618 + 1.141i F - (t) = - 0.0424777057 + 1.1747032784i F - n (t) = - 0.0424777052 + 1.1747033045i t = - 0.618 + 1.141i F - (t) = 0.6913297244 + 0.1803529499i F - n (t) = 0.6913297119 + 0.1803529346i t = - 1.62 + 0.71i F - (t) = 0.3008804422 - 0.0087581894i F - n (t) = 0.3008804418 - 0.0087581893i t = - 2.00 F - (t) = 0.2500000000 F - n (t) = 0.2500000000 t = - 1.62 - 0.71i F - (t) = 0.3008804422 + 0.0087581894i F - n (t) = 0.3008804418 + 0.0087581893i t = - 0.618 - 1.141i F - (t) = 0.6913297244 - 0.1803529499i F - n (t) = 0.6913297119 - 0.1803529346i t = 0.618 - 1.141i F - (t) = - 0.0424777057 - 1.1747032784i F - n (t) = - 0.0424777052 - 1.1747033045i t = 1.62 - 0.71i F - (t) = - 0.7378050367 - 0.4615476936i F - n (t) = - 0.7378050374 - 0.4615476937i References 1. 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spelling umjimathkievua-article-19542019-12-05T09:32:42Z Application of Faber polynomials to approximate solution of the Riemann problem Застосування полiномiв Фабера до наближеного розв’язання проблеми Рiмана Pylak, D. Sheshko, M. A. Wójcik, P. Пилак, Д. Шешко, М. А. Войчик, П. In the paper, Faber polynomials are used to derive an approximate solution of the Riemann problem on a Lyapunov curve. Moreover, an estimation of the error of the approximated solution is presented and proved. Полiноми Фабера застосовано для отримання наближеного розв’язку проблеми Рiмана на кривiй Ляпунова. Наведено i обґрунтовано оцiнку похибки цього наближеного розв’язку. Institute of Mathematics, NAS of Ukraine 2016-12-25 Article Article application/pdf https://umj.imath.kiev.ua/index.php/umj/article/view/1954 Ukrains’kyi Matematychnyi Zhurnal; Vol. 68 No. 12 (2016); 1696-1704 Український математичний журнал; Том 68 № 12 (2016); 1696-1704 1027-3190 en https://umj.imath.kiev.ua/index.php/umj/article/view/1954/936 Copyright (c) 2016 Pylak D.; Sheshko M. A.; Wójcik P.
spellingShingle Pylak, D.
Sheshko, M. A.
Wójcik, P.
Пилак, Д.
Шешко, М. А.
Войчик, П.
Application of Faber polynomials to approximate solution of the Riemann problem
title Application of Faber polynomials to approximate solution of the Riemann problem
title_alt Застосування полiномiв Фабера до наближеного розв’язання проблеми Рiмана
title_full Application of Faber polynomials to approximate solution of the Riemann problem
title_fullStr Application of Faber polynomials to approximate solution of the Riemann problem
title_full_unstemmed Application of Faber polynomials to approximate solution of the Riemann problem
title_short Application of Faber polynomials to approximate solution of the Riemann problem
title_sort application of faber polynomials to approximate solution of the riemann problem
url https://umj.imath.kiev.ua/index.php/umj/article/view/1954
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