Marseille-Luminy July Rational interpolation to solutions of Riccati difference equations on elliptic lattices.
|
|
- Bernice Hopkins
- 6 years ago
- Views:
Transcription
1 Marseille-Luminy July 2007 Rational interpolation to solutions of Riccati difference equations on elliptic lattices. Alphonse Magnus, Institut de Mathématique Pure et Appliquée, Université Catholique de Louvain, Chemin du Cyclotron,2, B-1348 Louvain-la-Neuve (Belgium) (0)(10)473157, opresivo y lento y plural. J.L. Borges This version: June 28, 2007 (incomplete and unfinished) The present file is Abstract. An elliptic lattice, or grid, {x 0, x 1,...} is built with the help of a biquadratic curve F (x, y) = 2 i=0 2 j=0 c i,jx i y j by the following rules: (1) let y n and y n+1 be the two y roots of F (x n, y) = 0, (2) then, x n+1 is found as the remaining x root of F (x, y n+1 ) = 0. There is also a direct symmetric biquadratic relation E(x n, x n+1 ) = 0, see V. P. Spiridonov and A. S. Zhedanov: Elliptic grids, rational functions, and the Padé interpolation, The Ramanujan Journal 13, Numbers 1-3, June 2007, p Numerators and denominators of rational interpolants on such lattices satisfy interesting difference equations when the interpolated function f itself satisfies a Riccati difference equation on the same lattice: a(x n ) f(y n+1) f(y n ) y n+1 y n = b(x n )f(y n )f(y n+1 ) + c(x n )(f(y n ) + f(y n+1 )) + d(x n ), where a, b, c, and d are polynomials. Contents 1. Difference equations and lattices Elliptic grid, or lattice Definition of elliptic grid Periodicity, theta functions A special product Elliptic Pearson s equation Theorem Elliptic logarithm Recurrences of biorthogonal rational functions Padé and interpolatory continued fractions
2 Marseille-Luminy July 2007 Elliptic lattices. 1 Diff. eq. & lattices Biorthogonality and orthogonality Example: the exponential function (Iserles [18]) Elliptic Riccati equations Definition Rational interpolation Theorem Classical case Linear difference relations and equations for the numerators and the denominators of the interpola Difference equation for the denominator p n Hypergeometric expansions References Difference equations and lattices. Simplest difference equations relate two values of the unknown fuction f: say, f(ϕ(x)) and f(ψ(x)). Most instances [29] are (ϕ(x), ψ(x)) = (x, x + h), or the more symmetric (x h/2, x + h/2), or also (x, qx) in q difference equations [14]. Recently, more complicated forms (r(x) s(x), r(x) + s(x)) have appeared [5,8,22,23,30,31], where r and s are rational functions. This latter trend will be examined here: we need, for each x, two values f(ϕ(x)) and f(ψ(x)) for f. A first-order difference equation is F (x, f(ϕ(x)), f(ψ(x))) = 0, or f(ϕ(x)) f(ψ(x)) = G (x, f(ϕ(x)), f(ψ(x))) if we want to emphasize the difference of f. There is of course some freedom in this latter writing. Only symmetric forms in ϕ and ψ will be considered here: where D is the divided difference operator (Df)(x) = F (x, f(ϕ(x)), f(ψ(x))), (1) (Df)(x) = f(ψ(x) f(ϕ(x), (2) ψ(x) ϕ(x) and where F is a symmetric function of its two last arguments. For instance, a linear difference equation of first order may be written as as well as a(x)f(ϕ(x)) + b(x)f(ψ(x)) + c(x) = 0, α(x)(df)(x) = β(x)[f(ϕ(x)) + f(ψ(x))] + γ(x), with α(x) = [b(x) a(x)][ψ(x) ϕ(x)]/2, β(x) = [a(x) + b(x)]/2, and γ(x) = c(x).
3 Marseille-Luminy July 2007 Elliptic lattices. 2 Diff. eq. & lattices 3 y 2 y 1 The simplest choice for ϕ and ψ is to take the two determinations of an algebraic function of degree 2, i.e., the two y roots of y 0 x 0 x 1 F (x, y) = X 0 (x) + X 1 (x)y + X 2 (x)y 2 = 0, (3a) where X 0, X 1, and X 2 are rational functions. But difference equations must allow the recovery of f on a whole set of points! An initialvalue problem for a first order difference equation starts with a value for f(y 0 ) at x = x 0, where y 0 is one root of (3a) at x = x 0. The difference equation at x = x 0 relates then f(y 0 ) to f(y 1 ), where y 1 is the second root of (3a) at x 0. We need x 1 such that y 1 is one of the two roots of (3a) at x 1, so for one of the roots of F (x, y 1 ) = 0 which is not x 0. Here again, the simplest case is when F is of degree 2 in x: F (x, y) = Y 0 (y) + Y 1 (y)x + Y 2 (y)x 2 = 0. (3b) Both forms (3a) and (3b) hold simultaneously when F is biquadratic: F (x, y) = 2 2 c i,j x i y j. (4) i=0 j=0 2. Elliptic grid, or lattice.
4 Marseille-Luminy July 2007 Elliptic lattices. 2 Diff. eq. & lattices Definition of elliptic grid. y 3 (a) (b) y 3 y 1 y 2 y 1 y 2 x 3 x 1 x 2 x 3 x 1 x 2 (c) (d) y 3 y 4 y 3 y 2 y 1 y 2 y 1 x 1 x 1 x 2 x 3 x 2 x 3 x 4 Various forms of the curve F (x, y) = 0 are degenerate parabolas (two parallel lines) or hyperbolas (two lines), or generic conics, or a full biquadratic curve y = X 1(x) ± X1(x) 2 4X 0 (x)x 2 (x). 2X 2 (x) To one x = x n correspond the two ordinates y n and y n+1. One has y n + y n+1 = X 1(x n ) X 2 (x n ), and y ny n+1 = X 0(x n ) X 2 (x n ).
5 Marseille-Luminy July 2007 Elliptic lattices. 2 Diff. eq. & lattices 5 (x 2, y 3 ) (x 3, y 3 ) (x 2, y 2 ) (x 0, y 0 ) (x 1, y 2 ) (x 0, y 1 ) (x 1, y 1 ) Also, to one ordinate y = y n correspond the two abscissae x n and x n 1, and we now have x n + x n 1 = Y 1(y n ) Y 2 (y n ), x nx n 1 = Y 0(y n ) Y 2 (y n ). (5) A relation involving only x n and x n 1 is obtained by the elimination of y n through the resultant of the two polynomials in y n P 1 (y n ) = (x n + x n 1 )Y 2 (y n ) + Y 1 (y n ) and P 2 (y n ) = x n x n 1 Y 2 (y n ) Y 0 (y n ). The form of this resultant is most easily found through interpolation at the two zeros u and v of Y 2 : let Y 2 (t) = α(t u)(t v), Y 0 (t) = β(t u)(t v)+β (t u)+β, Y 1 (t) = γ(t (x n + x n 1 )α + γ γ γ 0 u)(t v)+γ (t u)+γ, then the resultant is R = 0 (x n + x n 1 )α + γ γ γ x n x n 1 α β β β 0, 0 x n x n 1 α β β β which is clearly a polynomial of degree 2 in x n +x n 1 and x n x n 1, so a symmetric biquadratic relation: Definition. An elliptic lattice, or grid, is a sequence satisfying. E(x n, x n 1 ) = d 0,0 +d 0,1 (x n +x n 1 )+d 0,2 (x 2 n+x 2 n 1)+d 1,1 x n x n 1 +d 1,2 x n x n 1 (x n +x n 1 )+d 2,2 x 2 nx 2 n 1 = 0. (6) We also get a linear recurrence relation between three x s by adding (??) for s and s + 1: x(s + 1) + 2x(s) + x(s 1) = x(s + 1) + α(y(s + 1) + y(s)) 2δ γ = α2 x(s) + αβ 2δ, so γ 2γ α2 αβ 2δ x(s) + x(s 1) = γ γ (7)
6 Marseille-Luminy July 2007 Elliptic lattices. 2 Diff. eq. & lattices 6 x(s + 1) Why elliptic? x(s) x(s 1) The learned answer is that a biquadratic curve (4) or (6) is normally of genus one, and receives therefore a parametric representation involving elliptic functions [42]. It is also known that formulas like (6) appear in Euler s pionneering work on what is now called addition x(s) x(s + 1) formulas for elliptic functions, that s why the authors of [42] use the letter E in (6). Here is an explanation based on special Padé approximations, periodic continued fractions, and orthogonal polynomials on several intervals: Let S be a polynomial of degree 2 S(z) = γ + δ(z z 0 ) + ξ(z z 0 ) 2, and we consider the root of ζ 0 (z z 0 )(z x 0 )f 2 (z) 2S(z)f(z) + ζ 1 (z z 0 )(z x 1 ) = 0 (8) which is regular at z 0. It is also f(z) = S(z) P (z) ζ 0 (z z 0 )(z x 0 ), where the choice of the square root of P (z) = S 2 (z) ζ 0 ζ 1 (z z 0 ) 2 (z x 0 )(z x 1 ) = c(z z 1 )(z z 2 )(z z 3 )(z z 4 ) in a neighbourhood of z 0 is such that the value of this square root is S(z 0 ) = γ. Actually, this regular root even vanishes at z 0, and can be represented by the continued fraction f(z) = α 0 z + β 0 z z 0 (z z 0 ) 2 α 1 z + β 1 (z z 0) 2 α 2 z + β 2, (9) or f n (z) = z z 0, n = 0, 1,... (10) α n z + β n (z z 0 )f n+1 (z) with f 0 = f. Remark that α n z+β n is the Taylor approximation of degree 1 to (z z 0 )/f n (z). We can therefore recover α n and β n from the behaviour of f n near z 0. The form of f is kept in all the f n s (basically from Perron [35, 60, eq. (5)-(14)]): and we have the ζ n (z z 0 )(z x n )f 2 n(z) 2S n (z)f n (x) + ζ n+1 (z z 0 )(z x n+1 ) = 0, (11) Proposition. The continued fraction expansion (9) of the quadratic function f defined by (8) involves a sequence of quadratic functions defined by (11). The related sequence {x n } is an elliptic sequence. We first show that the quadratic equation (11) holds for all n. Indeed, if f n is the root of (11) such that f n (z) = S n(z) P (z) ζ n (z z 0 )(z x n ), with S n(z) 2 ζ n ζ n+1 (z z 0 ) 2 (z x n )(z x n+1 ) =
7 Marseille-Luminy July 2007 Elliptic lattices. 2 Diff. eq. & lattices 7 P (z), we have f n (z) = S2 n(z) P (z) = ζ n ζ n+1 (z z 0 ) 2 (z x n )(z x n+1 ) ζ n (z z 0 )(z x n )[S n (z) + P (z)] = z z 0 α n z + β n ζ n+1(α n z + β n )(z x n+1 ) S n (z) P (z) ζ n+1 (z x n+1 ) = (z z 0 ) S n (z) + P (z) ζ n+1 (z x n+1 ) showing that f n+1 (z) = S n+1(z) P (z) ζ n+1 (z z 0 )(z x n+1 ), as expected, where S n+1(z) = ζ n+1 (α n z + β n )(z x n+1 ) S n (z), α n z + β n being the Taylor approximant of degree 1 to [S n (z) + P (z)]/[ζn+1 (z x n+1 )] about z = z 0. This way to build S n+1 ensures that the fourthdegree polynomial Sn+1 2 P has factors (z z 0 ) 2 and ζ n+1 (z x n+1 ). Let us call the remaining factor ζ n+2 (z x n+2 ), and this completes the definition of f n+1. And here is how the present x n and x n+1 actually satisfy the elliptic lattice equation (6): We expand Sn(z) P 2 (z) = ζ n ζ n+1 (z z 0 ) 2 (z x n )(z x n+1 ) with S n (z) = γ +δ(z z 0 )+ ξ n (z z 0 ) 2 and P (z) = γ 2 +2γδ(z z 0 )+P (z 0 )(z z 0 ) 2 /2+P (z 0 )(z z 0 ) 3 /6+P (z 0 )(z z 0 ) 4 /24 (so that the expansion of the square root of P starts indeed with γ + δ(z z 0 )). 2γξ n + δ 2 P (z 0 )/2 = ζ n ζ n+1 (z 0 x n )(z 0 x n+1 ), (12a) 2δξ n P (z 0 )/6 = ζ n ζ n+1 (2z 0 x n x n+1 ), (12b) ξn 2 P (z 0 )/24 = ζ n ζ n+1. (12c) The last equation yields ζ n ζ n+1 as a polynomial of degree 2 in ξ n, therefore the two first equations give the sum and the product of x n and x n+1 as rational functions of degree 2 of an intermediate parameter, and this is the structure of (3a)-(3b)-(4): z 0 x n and z 0 x n+1 are the two roots of (z 0 x) 2 2δξ n P (z 0 )/6 ξn 2 P (z 0 )/24 (z 0 x) + 2γξ n + δ 2 P (z 0 )/2 = 0, ξn 2 P (z 0 )/24 so F (x, y) = [y 2 P (z 0 )/24](z 0 x) 2 [2δy P (z 0 )/6](z 0 x) + 2γy + δ 2 P (z 0 )/2 = 0. So, the continued fraction expansion (9)-(11) of a quadratic algebraic function leads to an elliptic lattice. Conversely, can we find P, z 0,etc. from a given elliptic lattice (6)? From a solution x n = x n+1 = z 0 of (12a)-(12c) (when ξ n = ), z 0 is one of the four roots of E(z 0, z 0 ) = d 0,0 + 2d 0,1 z 0 + (2d 0,2 + d 1,1 )z d 1,2z d 2,2z 4 0 = 0. Moreover, (6) yields y = x n±1 as a quadratic function of x = x n as y = d 1,2x 2 d 1,1 x d 0,1 ± (d 1,2 x 2 + d 1,1 x + d 0,1 ) 2 4(d 2,2 x 2 + d 1,2 x + d 0,2 )(d 0,2 x 2 + d 0,1 x + d 0,0 ). 2(d 2,2 x 2 + d 1,2 x + d 0,2 ) Let us look now at the (S n, P, ζ n (z x n )) construction as a way to find x n+1 from x n : if x n is known, Sn 2 P must vanish at x = x n S n (x n ) = γ +δ(x n z 0 )+ξ n (x n z 0 ) 2 = ± P (x n ), giving two possible values for ξ n. Then, as already seen, we factor Sn 2 P as a constant
8 Marseille-Luminy July 2007 Elliptic lattices. 2 Diff. eq. & lattices 8 times (z z 0 ) 2 (z x n ) times a last factor which must be a constant times z x n+1, yielding for x n+1 an expression containing P (x n ), so that we obtain P from (d 1,2 x 2 + d 1,1 x + d 0,1 ) 2 4(d 2,2 x 2 + d 1,2 x + d 0,2 )(d 0,2 x 2 + d 0,1 x + d 0,0 ) = const. P (x). This allows to interpret any elliptic lattice in terms of the continued fraction expansion of a quadratic algebraic function The elliptic functions, at last. Let A n (z) B n (z) = z z 0 (z z 0 ) 2, (13) α 0 z + β 0 (z z 0 ) 2 α 1 z + β 1... α 2 z + β 2 α n 1 z + β n 1 with A 0 = 0, A 1 (z) = z z 0, A k+1 (z) = (α k z + β k )A k (z) (z z 0 ) 2 A k 1 (z), B 0 = 1, B 1 (z) = α 0 z + β 0, B k+1 (z) = (α k z + β k )B k (z) (z z 0 ) 2 B k 1 (z), or also B 1 = 0, A 1 (z) = 1/(z z 0 ). Ratios g k+1 = λb k+1 A k+1 satisfy g k+1 = α k z + β k (z z 0 ) 2 g k /g k, or = λb k A k z z 0 z z 0, i.e., the recurrence (10) of the f k s, which correspond to λ = f (as α k z + β k g k+1 g 0 = λ/a 1 = (z z 0 )λ, so g 0 (z)/(z z 0 ) = f 0 (z) = f(z) if λ = f). The quadratic function B n f A n = (z z 0 ) n f 0 f 1 f n has an extremely peculiar set of zeros and poles: let f conj be the conjugate function to f, i.e., the quadratic function S + P where the sign of the square root of P has been changed, an elementary ζ 0 (z z 0 )(z x 0 ) way to deal with two-sheeted Riemann surfaces. Then, the set of zeros and poles of B n f A n is a part of the set for (B n f A n )(B n f conj A n ) (B n f A n )(B n f conj A n ) = (z z 0 ) 2n f 0 f n f conj 0 fn conj = (z z 0 ) 2 S 0 P ζ 0 (z x 0 ) Sn P S 0 + P ζ n (z x n ) ζ 0 (z x 0 ) S 0 + P ζ n (z x n ) = (z z 0) 2n (z x n+1 ), ζ 0 ζ n (z x 0 ) a very limited set! Actually, most zeros and poles are concentrated at z 0 and : B n f A n has a zero of order 2n + 1 at z 0 (Padé property), B n f conj A n a simple pole; both functions have a pole of order n at What is (are) the period(s)?
9 Marseille-Luminy July 2007 Elliptic lattices. 2 Diff. eq. & lattices 9 x 0 S z 0 z 1 z 4 z 2 Consider the [ integral of ] dt πi P (t) log Bn 1 (t)f(t) A n 1 (t) on a B n 1 (t)f conj (t) A n 1 (t) big contour, result is 0, as everything is regular when t is large; and we shrink the contour about z 0 and the zero and pole x 0 and x n : z1 0 = 2n z 0 dt x0 + P (t) z z 3 1 dt ± P (t) xn z 1 dt P (t) + 2 j N j zj+1 z j dt P (t) } {{ } periods It happens that, knowing n, P, and x 0, (14) allows to find the remaining unknowns, including the ± signs (Jacobi problem, [1, 3, 26, 32, 33,?]). There is absolutely no need for n to be an integer in the description (14) of the Jacobi problem. To see how this x n is a function of n, we... take the derivative of (14) with respect to n (!!): 1 dx n h = ± dn, z1 where h = 2 z 0 (14) P (xn ) dt. We have a differential equation for x n. An initial condition P (t) consists of x 0 and a sign (= a place on the Riemann surface of P ). Generalization. Hyperelliptic case, generalization of Padé approximation and continued fraction (recurrence relations) constructions: see [?,4,33,44]. We then have a vector of length g (genus),..., x n (g) ] of unknowns which is a well defined function (Jacobi-Abel function) of the left-hand side [nh 0,..., nh g 1 ]. [x (1) n 2.2. Periodicity, theta functions. x n is kept unchanged if nh + h 0 in (14) is augmented by integers times the integrals zj+1 t k 2ω j = 2 dt (periods). P (t) z j So, x n is some periodic function (elliptic function) of nh + h 0. There are two zeros and two poles in a fundamental parallelogram of periods (2ω 1, 2ω 2 ), they are given by 0 dt dt nh + h 0 = ± and ±, say, ±ζ 0 and ±ζ. P (t) P (t) z 1 z 1 We expect x n to involve standard functions of nh + h 0 ± ζ 0 and nh + h 0 ± ζ. With the p theta function θ(u; p) = (1 p j u)(1 p j+1 /u), j=0 which vanishes at log u = all the integer multiples of log p plus all the integer multiples of 2πi, we consider [37, 2]
10 Marseille-Luminy July 2007 Elliptic lattices. 2 Diff. eq. & lattices 10 x n = C θ ( θ exp ( exp ( iπ nh + h 0 ζ 0 ω 1 ( iπ nh + h 0 ζ ω 1 )) )) θ ( θ exp ( exp ( iπ nh + h )) 0 + ζ 0 ω ( 1 iπ nh + h )) 0 + ζ see also [42, 4], there is a simple relation between the p theta function and the Jacobi theta functions. Let q = exp(iπh/ω 1 ), q 0 = exp(iπh 0 /ω 1 ), η 0 = exp(iπζ 0 /ω 1 ), η = exp(iπζ /ω 1 ), so x n = C θ(qn q 0 η 0 )θ(q n q 0 /η 0 ) θ(q n q 0 η )θ(q n q 0 /η ) x n x m, where n and m need not be integers, is another (much more interesting) elliptic function of n with the same poles, but with zeros such that n = m is one of them. This leads to replace η 0 by 1/(q 0 q m ): ω 1 For the y s, one has x n x m = C θ(qn m )θ(q n+m q 2 0 ) θ(q n q 0 η )θ(q n q 0 /η ) y n y m = C θ(q n m )θ(q n+m q 0 2 ) θ(q n q 0η )θ(q n q 0/η ) with the same θ function and the same q (15) (16) 2.3. A special product. We will have to considerate the special algebraic function and its conjugate X n (x) = (ψ(x) y 1)(ψ(x) y 3 ) (ψ(x) y 2n 1 ) (ϕ(x) y 0 )(ϕ(x) y 2 ) (ϕ(x) y 2n 2 ) X conj. n (x) = (ϕ(x) y 1)(ϕ(x) y 3 ) (ϕ(x) y 2n 1 ) (ψ(x) y 0 )(ψ(x) y 2 ) (ψ(x) y 2n 2 ) the product is F (x, y 1)F (x, y 3 ) F (x, y 2n 1 ) F (x, y 0 )F (x, y 2 ) F (x, y 2n 2 ) = Y 2(y 1 )Y 2 (y 3 ) Y 2 (y 2n 1 ) Y 2 (y 0 )Y 2 (y 2 ) Y 2 (y 2n 2 ) The value of (17) is well defined when x is some x m : x x 2n 1 x x 1. X n (x m ) = (y m+1 y 1 )(y m+1 y 3 ) (y m+1 y 2n 1 ) (y m y 0 )(y m y 2 ) (y m y 2n 2 ) Now, following (15), y r y s is a ratio of products with numerator θ(q r s )θ(q r+s q 2 0 ), so (17) X n (x m ) = θ(qm )θ(q m+2 q 0 2 )θ(q m 2 )θ(q m+4 q 0 2 ) θ(q m 2n+2 )θ(q m+2n q 2 θ(q m )θ(q m q 0 2 )θ(q m 2 )θ(q m+2 q 0 2 ) θ(q m 2n+2 )θ(q m+2n 2 q 2 and what remains is X n (x m ) = θ(qm+2n q 0 2 ) θ(q m q 2 0 ) 0 ) 0 ) (18)
11 Marseille-Luminy July 2007 Elliptic lattices. 3 Pearson 11 and Xn conj (x m ) = θ(qm 2n+1 ) θ(q m+1 ) from the identities θ(pu) = θ(1/u) = θ(u)/u. = θ(pq2n 1 m ) θ(pq m 1 ) (19) 3. Elliptic Pearson s equation. A famous theorem by Pearson relates the classical orthogonal polynomials to the differential equation w = rw satisfied by the weight function, where r is a rational function of degree Theorem. Let {(x(s 0 + k), y(s 0 + k))} be an elliptic lattice built on the biquadratic curve (3a)-(3b)-(4), with s 0 / Z. If there are polynomials a and c, with a(x(s 0 )) (y(s 0 + 1) y(s 0 ))c(x(s 0 )) = a(x(s 0 + N)) (y(s 0 + N + 1) y(s 0 + N))c(x(s 0 + N)) = 0, such that w k+1 a(x k ) Y 2 (y k+1 )(x k+1 x k ) w k Y 2 (y k )(x k x k 1 ) [ ] y k+1 = c(x y k ) w k+1 k Y 2 (y k+1 )(x k+1 x k ) + w k Y 2 (y k )(x k x k 1 ), (20) k = 0, 1,..., N, where (x k, y k ) is a shorthand for (x(s 0 +k), y(s 0 +k)), and w 0 = w N+1 = 0, then, N w k f(x) = (21) x y k satisfies k=1 f(ψ(x)) f(ϕ(x)) a(x)df(x) = a(x) = c(x)[f(ϕ(x)) + f(ψ(x))] + d(x), (22) ψ(x) ϕ(x) where d is a polynomial too. Indeed, = N 1 f(ψ(x)) f(ϕ(x)) ψ(x) ϕ(x) = N w k X 2 (x) Y 2 (y k )(x x k 1 )(x x k ) = X 2(x) with w 0 = w N+1 = 0, f(ψ(x)) + f(ϕ(x)) = = N 1 N w k [X 1 (x) + 2y k X N 2(x)] Y 2 (y k )(x x k 1 )(x x k ) = 1 1 N w k (ϕ(x) y k )(ψ(x) y k ) = N 0 1 w k X 2 (x) F (x, y k ) w k+1 Y 2 (y k+1 )(x k+1 x k ) w k Y 2 (y k )(x k x k 1 ) x x k w k [X 1 (x) + 2y k X N 2(x)] X 2 (x)(ϕ(x) y k )(ψ(x) y k ) = 0 w k+1 [X 1 (x) + 2y k+1 X 2(x)] Y 2 (y k+1 )(x k+1 x k ) 1 x x k w k [X 1 (x) + 2y k X 2(x)] F (x, y k ) w k[x 1 (x) + 2y k X 2(x)] Y 2 (y k )(x k x k 1 ) therefore the rational functions adf and c(f(ϕ) + f(ψ)) differ by a polynomial if all the residues are equal:,
12 Marseille-Luminy July 2007 Elliptic lattices. 4 Biorthogonal rationa functions 12 [ ] a(x k )X 2(x k ) w k+1 Y 2 (y k+1 )(x k+1 x k ) w k Y 2 (y k )(x k x k 1 [ ) = c(x wk+1 [X 1 (x k k) ) + 2y k+1 X 2(x k )] Y 2 (y k+1 )(x k+1 x k ) w k[x 1 (x k ) + 2y k X 2(x k )] ] Y 2 (y k )(x k x k 1 ) for k = 0, 1,..., N. Or, as X 1 (x k ) = (y k + y k+1 )X 2(x k ), [ ] a(x k ) w k+1 Y 2 (y k+1 )(x k+1 x k ) w k Y 2 (y k )(x k x k 1 [ ) = c(x k)(y k+1 y k) 3.2. Elliptic logarithm. w k+1 Y 2 (y k+1 )(x k+1 x k ) + ] w k Y 2 (y k )(x k x k 1 ) We extend f(x) = log x a x b which satisfies f a b (x) = by looking for a (x a)(x b) function whose divided difference is a rational function of low degree. Answer: w k = (x k x k 1 )Y 2(y k ), Df(x) = (x N x 0 )X 2(x) (x x 0 )(x (23) x N ). 4. Recurrences of biorthogonal rational functions. From excerpts of Spiridonov & Zhedanov [40], also A. Zhedanov, Biorthogonal rational functions and generalized eigenvalue problem, J. Approx. Theory 101 (1999), no. 2, , and [51]. Also Brezinski, Iserles, Ismail, Masson, Norsett Padé and interpolatory continued fractions. α Padé. α 1 matches a given Laurent expansion c 0 /x+ x β x β α n 1 x β n 1 c 1 /x 2 + at up to the c 2n+1 /x 2n+2 term. Numerators and denominators satisfy the recurrence relation P n+1 (x) = (x β n )P n (x)+α n P n 1 (x), suggesting some kind of (formal?) orthogonality. This is even more obvious in the matrix-vector setting β 0 α1 α1 β 1 α P 0 (x) P 0 (x) P 1 (x). = x P 1 (x)
13 Marseille-Luminy July 2007 Elliptic lattices. 4 Biorthogonal rationa functions 13 If one wants to approximate a Taylor expansion about the origin, just take z = 1/x and rewrite the continued fraction as α 0 z α 1 z 2 which matches a given Taylor-Maclaurin expansion up to the z 2n 1 zβ β 1 z + + α n 1z 2 1 β n 1 z term Interpolation. Rational interpolations to a given set of values at x = y 0, y 1,... (yes, the relevant set will be a y lattice) are achieved by q n (x) p n (x) = α 0 + x y 0 (x y 1 )(x y 2 ) α 0 x + β 0... α n 2 x + β n 2 + (x y 2n 3)(x y 2n 2 ) α n 1 x + β n 1 which agree with a given set up to x = y 2n. The recurrence relations for p n and q n are p n+1 (x) = (α n x + β n )p n (x) (x y 2n 1 )(x y 2n )p n 1 (x), q n+1 (x) = (α n x + β n )q n (x) (x y 2n 1 )(x y 2n )q n 1 (x), with q 0 = α 0, p 0 = 1, q 1 (x) = α 0(α 0 x + β 0 ) + x y 0, p 1 (x) = α 0 x + β 0. We could as well start with q 1 (x) = 1/(x y 1 ) and p 1 = 0. We also have the Casorati relation (24) p n (x)q n 1 (x) p n 1 (x)q n (x) = (x y 0 )(x y 1 ) (x y 2n 3 )(x y 2n 2 ). (25) Consider now rational functions R n (x) = p n (x) (x y 2 )(x y 4 ) (x y 2n ) : (x y 2n+2 )R n+1 (x) = (α n x + β n )R n (x) (x y 2n 1 )R n 1 (x), so that the matrix-vector setting is now β 0 y 2 R 0 (x) α 0 1 R 0 (x) y 1 β 1 y 4 R 1 (x) = x 1 α 1 1 R 1 (x) So, {R 0, R 1,... } is a right eigenvector which is in some way biorthogonal to the set of left eigenvectors {T 0, T 1,... } satisfying the recurrence (x y 2n+1 )T n+1 (x) = (α n x + β n )T n (x) (x y 2n )T n 1 (x),
14 Marseille-Luminy July 2007 Elliptic lattices. 4 Biorthogonal rationa functions 14 which is of the same structure that the recurrence of the R n s, but with the odd x s interchanged with the even x s. Actually, T n (x) is a constant times the same p n (x) as before, divided by (x y 1 )(x y 3 )... (x y 2n 1 ). That p n is invariant under matrix transposition is clear: p n (x) is the determinant α 0 x + β 0 (x y 2 ) (x y 1 ) α 1 x + β 1 (x y 4 ) (x y 2n 3 ) α n 1 x + β n Biorthogonality and orthogonality. But what is the bilinear form exhibiting the biorthogonality condition? Let q n /p n interpolate a formal Stieltjes transform-like function f(x) = S dµ(t) x t, then q n interpolates p n f at the 2n + 1 points y 0, y 1,..., y 2n. Also, for k < n, q(x) = q n (x)p k (x)(x y 2k+3 ) (x y 2n 1 ), still of degree < 2n, interpolates p n (x)p k (x))(x y 2k+3 ) (x y 2n 1 )f(x), still has a vanishing divided difference at these 2n + 1 points: [y 0,..., y 2n ] of p n (x)p k (x))(x y 2k+3 ) (x y 2n 1 )f(x) p n (t)p k (t))(t y 2k+3 ) (t y 2n 1 ) dµ(t) = (t y 0 ) (t y 2n ) S = 0, as the divided difference of a rational function A(x)/(x t) is A(t)/{(t y 0 ) (t y 2n )} (Milne-Thomson [29,...]). So, R n is orthogonal to T k with respect to the formal scalar product g 1, g 2 = g 1 (t)g 2 (t) dµ(t). Even simpler: if f(x) = N 1 0 ρ k, x x k S N 1 g 1, g 2 = ρ k g 1 (x k)g 2 (x k) Example: the exponential function (Iserles [18]). Rational interpolations to e ax at x = 0, h, 2h,...
15 Marseille-Luminy July 2007 Elliptic lattices. 5 Riccati 15 The hypergeometric expansions are p n (x) = C n p n (x)e ax = C n n ( 1) k (2n k)(2n k 1) (n k + 1)t k x(x h) (x (k 1)h), h k (1 + t) k k! k=0 k=0 (2n k)(2n k 1) (n k + 1)t k x(x h) (x (k 1)h), h k k! = q n (x) + O(x(x h) (x 2nh)), where t = e ah 1. The constant C n is needed to allow the form of the recurrence relation (24). (26) 5.1. Definition. 5. Elliptic Riccati equations. An elliptic Riccati equation is f(ψ(x)) f(ϕ(x)) a(x) = b(x)f(ϕ(x))f(ψ(x)) + c(x)(f(ϕ(x)) + f(ψ(x))) + d(x). (27) ψ(x) ϕ(x) If x = x m, some point of our x lattice, then ϕ(x) = y m and ψ(x) = y m+1. A first-order difference equation of the kind (27) relates f(y 0 ) to f(y 1 ) when x = x 0 ; f(y 1 ) to f(y [ 2 ) when x ] = x 1, etc. The direct relation is a ψ ϕ + c f(ϕ) + d f(ψ) = a. ψ ϕ c bf(ϕ) It is sometimes easier to write (27) as e(x)f(ϕ(x))f(ψ(x)) + g(x)f(ϕ(x)) + h(x)f(ψ(x)) + k(x) = 0, (28) where e = b, g = a ψ ϕ c, h = a c, and k = d. ψ ϕ However, if a, b, c, and d are rational functions, g and h are conjugate algebraic functions: h+g and hg are symmetric functions of ϕ and ψ, hence rational functions. This also happens with 2a = (h g)(ψ ϕ) Rational interpolation. We consider now rational interpolation according to the setting of above. Why is this relevant? x y 2n From f n (x) = α n x + β n (x y 2n+1 )f n+1 (x), α nx + β n is the polynomial interpolant of degree 1 to (x y 2n )/f n (x) at y 2n+1 and y 2n+2, so we need f n (y 2n+1 ) and f n (y 2n+2 ) in order to find α n and β n.
16 Marseille-Luminy July 2007 Elliptic lattices. 5 Riccati 16 Now, if f n satisfies the Riccati equation a n (x) f n(ψ(x)) f n (ϕ(x)) ψ(x) ϕ(x) or equivalently = b n (x)f(ϕ(x))f n (ψ(x)) + c n (x)(f(ϕ(x)) + f(ψ(x))) + d n (x), e n (x)f n (ϕ(x))f n (ψ(x)) + g n (x)f n (ϕ(x)) + h n (x)f n (ψ(x)) + k n (x) = 0, (30) where e n = b n, g n = a n ψ ϕ c n, h n = a n ψ ϕ c n, and k n = d n, one finds at x = x 2n, ϕ(x) = y 2n, ψ(x) = y 2n+1, and f n (y 2n ) = 0, so f n (y 2n+1 ) = y 2n+1 y 2n α n y 2n+1 + β n = and at x = x 2n+1, keeping the e g h k form, (29) (y 2n+1 y 2n )d n (x 2n ) a n (x 2n ) (y 2n+1 y 2n )c n (x 2n ) = k n(x 2n ) h n (x 2n ), (31) f n (y 2n+2 ) = y 2n+2 y 2n = g n(x 2n+1 )k n (x 2n ) k n (x 2n+1 )h n (x 2n )., (32) α n y 2n+2 + β n e n (x 2n+1 )k n (x 2n ) + h(x 2n+1 )h(x 2n ) which shows how to extract α n and β n from a n,... at x 2n and x 2n+1. Another form of (32) is (y 2n+2 y 2n )[(y 2n+1 y 2n )e n (x 2n+1 ) + (α n y 2n+1 + β n )h n (x 2n+1 )] + (α n y 2n+2 + β n )[(y 2n+1 y 2n )g n (x 2n+1 ) + (α n y 2n+1 + β n )k n (x 2n+1 )] = 0. (33) Furthermore, the Riccati form is well suited to continued fraction progression: 5.3. Theorem. If f n satisfies the Riccati equation (29) with rational coefficients a n, b n, c n, and d n, and if x y 2n f n (x) = α n x + β n (x y 2n+1 )f n+1 (x), then f n+1 satisfies an equation of same complexity (degree of the rational functions) of its coefficients. x y 2n Indeed, enter f n (x) = α n x + β n (x y 2n+1 )f n+1 (x) in the Riccati equation (27) for f n, actually using the (30) form: ϕ(x) y 2n ψ(x) y 2n e n (x) α n ϕ(x) + β n (ϕ(x) y 2n+1 )f n+1 (ϕ(x)) α n ψ(x) + β n (ψ(x) y 2n+1 )f n+1 (ψ(x)) ϕ(x) y 2n +g n (x) α n ϕ(x) + β n (ϕ(x) y 2n+1 )f n+1 (ϕ(x)) +h ψ(x) y 2n n(x) α n ψ(x) + β n (ψ(x) y 2n+1 )f n+1 (ψ(x)) +k n(x) = 0. or e n (x)(ϕ(x) y 2n )(ψ(x) y 2n ) + g n (x)(ϕ(x) y 2n )[α n ψ(x) + β n (ψ(x) y 2n+1 )f n+1 (ψ(x))] +h n (x)(ψ(x) y 2n )[α n ϕ(x) + β n (ϕ(x) y 2n+1 )f n+1 (ϕ(x))] +k n (x)[α n ψ(x)+β n (ψ(x) y 2n+1 )f n+1 (ψ(x))][α n ϕ(x)+β n (ϕ(x) y 2n+1 )f n+1 (ϕ(x))] = 0 We therefore have a relation between f n+1 (ϕ(x)) and f n+1 (ψ(x)) of the form ẽ n+1 (x)f n+1 (ϕ(x))f n+1 (ψ(x))+ g n+1 (x)f n+1 (ϕ(x))+ h n+1 (x)f n+1 (ψ(x))+ k n+1 (x) = 0, (34)
17 Marseille-Luminy July 2007 Elliptic lattices. 5 Riccati 17 where ẽ n+1 (x) = (ψ(x) y 2n+1 )(ϕ(x) y 2n+1 )k n (x), g n+1 (x) = (ϕ(x) y 2n+1 ) [(ψ(x) y 2n )h n (x) + (α n ψ(x) + β n )k n (x)], h n+1 (x) = (ψ(x) y 2n+1 ) [(ϕ(x) y 2n )g n (x) + (α n ϕ(x) + β n )k n (x)], k n+1 (x) = (ϕ(x) y 2n )(ψ(x) y 2n )e n (x) + (ϕ(x) y 2n )(α n ψ(x) + β n )g n (x) + (ψ(x) y 2n )(α n ϕ(x) + β n )h n (x) + (α n ψ(x) + β n )(α n ϕ(x) + β n )k n (x). The tilde ẽ,etc. notation is needed because (34) is not yet the equation (30) with n replaced by n + 1: the coefficients of (34) will have to be divided by common factors first. The equation (34) is already a Riccati equation, introducing the difference and the sum of f n+1 (ϕ(x)) and f n+1 (ψ(x)) as f n+1 (ψ(x)), f n+1 (ϕ(x)) = f n+1(ϕ(x)) + f n+1 (ψ(x)) ±(ψ(x) ϕ(x)) f n+1(ψ(x)) f n+1 (ϕ(x)), 2 2(ψ(x) ϕ(x)) then (34) takes the form of (27) ( h n+1 (x) g n+1 (x))(ψ(x) ϕ(x)) f n+1(ψ(x)) f n+1 (ϕ(x)) 2(ψ(x) ϕ(x)) (35) = ẽ n+1 (x)f n+1 (ϕ(x))f n+1 (ψ(x)) (h n+1 (x) + g n+1 (x)) f n+1(ϕ(x)) + f n+1 (ψ(x)) k n+1 (x). 2 The coefficients are now symmetric functions of ϕ and ψ, therefore rational functions, as ϕ + ψ = X 1 /X 2 and ϕψ = X 0 /X 2. 2ã n+1 (x) = (h n+1 (x) g n+1 (x))(ψ(x) ϕ(x)) = [(ψ(x) y 2n+1 )(ϕ(x) y 2n )+(ϕ(x) y 2n+1 )(ψ(x) y 2n )]a n (x) +(ψ(x) ϕ(x)) 2 [(y 2n+1 y 2n )c n (x) + (α n y 2n+1 + β n )d n (x)], 2 c n+1 (x) = h n+1 (x)+g n+1 (x) = (y 2n+1 y 2n )a n (x)+[(ψ(x) y 2n+1 )(ϕ(x) y 2n )+(ϕ(x) y 2n+1 )(ψ(x) y 2n )]c +[(ϕ(x) y 2n+1 )(α n ψ(x) + β n ) + (ψ(x) y 2n+1 )(α n ϕ(x) + β n )]d n (x) We must now be sure that no increase of complexity occurs in the new Riccati equation! From ϕ + ψ = X 1 /X 2 and ϕψ = X 0 /X 2, where the X s are second degree polynomials, we see that the new coefficients (h n+1 (x) g n+1 (x))(ψ(x) ϕ(x)), e n+1 (x), h n+1 (x)+g n+1 (x), and k n+1 (x) are rational functions of denominator X 2, and sometimes X 2 2. This problem is settled by multiplying the four coefficients by X 2, assuming that b n, c n, and d n already have the factor X 2. The new coefficients are now polynomials, but of higher degree than before! Fortunately, they have convenient common factors, which can be removed: (1) The four coefficients of (34) vanish at x = x 2n. Indeed, at x = x 2n, ψ(x) = y 2n+1, so that ẽ n+1 and h n+1 do already vanish. Moreover, with ϕ(x) = y 2n, one sees that g n+1 and k n+1 are products containing the factor (y 2n+1 y 2n )h n (x 2n ) + (α n y 2n+1 + β n )k n (x 2n ), which must vanish, according to (31). Remark that x x 2n+1 is an obvious factor of ẽ n+1 and g n+1 ; also a (much less obvious) factor of k n+1, as k n+1 at x = x 2n+1 from (35) gives (33).
18 Marseille-Luminy July 2007 Elliptic lattices. 5 Riccati 18 (2) When n > 0, the four coefficients of (34) vanish at x = x 2n 1. According to the remark just above, if n 1, e n, g n, and k n already vanish at x 2n 1, so ẽ n+1 and h n+1 vanish too. The values of g n+1 and k n+1 at x 2n 1 from (35) contain the same remaining term (ψ(x) y 2n )h n (x) which vanishes at x = x 2n 1 too. If a n, b n, c n, and d n are polynomials, we recover polynomials without increasing the degrees by multiplying ( h n+1 (x) g n+1 (x))(ψ(x) ϕ(x))/2, ẽ n+1 (x), [ h n+1 (x)+ g n+1 (x)], X 2 (x) and k n+1 (x) by, or, considering that (x x 2n 1 )(x x 2n ) (ϕ(x) y 2n )(ψ(x) y 2n ) = X 0(x) + X 1 (x)y 2n + X 2 (x)y 2 2n X 2 (x) we may as well divide by (ϕ(x) y 2n )(ψ(x) y 2n ): = F (x, y 2n) X 2 (x) = Y 2 (y 2n ) (x x 2n)(x x 2n 1 ), X 2 (x) 1 [e n+1, g n+1, h n+1, k n+1 ] = (ϕ y 2n )(ψ y 2n ) [ẽ n+1, g n+1, h n+1, k n+1 ], and the division of (35) by (ϕ(x) y 2n )(ψ(x) y 2n ) yields at last the Riccati coefficients at the (n + 1) th step: g n+1 h n+1 e n+1 k n+1 or g n+1 = M n g n. 0, ϕ y 2n+1, 0, (ϕ y 2n+1)(α n ψ + β n ) ϕ y 2n (ϕ y 2n )(ψ y 2n ) g n ψ y 2n+1, 0, 0, (ψ y 2n+1)(α n ϕ + β n ) = ψ y 2n (ϕ y 2n )(ψ y 2n ) h n (ϕ y 2n+1 )(ψ y 2n+1 ) 0, 0, 0, (ϕ y 2n )(ψ y 2n ) e n α n ψ + β n α n ϕ + β n (α n ψ + β n )(α n ϕ + β n ),, 1, k n, ψ y 2n ϕ y 2n (ϕ y 2n )(ψ y 2n ) A very interesting identity is g n+1 h n+1 e n+1 k n+1 = (ϕ y 2n+1)(ψ y 2n+1 ) [g n h n e n k n ], (ϕ y 2n )(ψ y 2n ) which, by (ϕ(x) y 2n+1)(ψ(x) y 2n+1 ) (ϕ(x) y 2n )(ψ(x) y 2n ) becomes = F (x, y 2n+1) F (x, y 2n ) g n (x)h n (x) e n (x)k n (x) = Y 2(y 2n 1 )Y 2 (y 2n 3 ) Y 2 (y 1 ) Y 2 (y 2n 2 )Y 2 (y 2n 4 ) Y 2 (y 0 ) = Y 2(y 2n+1 ) Y 2 (y 2n ) (36) (x x 2n )(x x 2n+1 ) (x x 2n 1 )(x x 2n ), x x 2n 1 [g 0 (x)h 0 (x) e 0 (x)g 0 (x)]. x x 1 (37) The polynomial coefficients are then recovered by a n+1 = (h n+1 g n+1 )(ψ ϕ)/2, b n+1 = e n+1, c n+1 = (h n+1 + g n+1 )/2, and d n+1 = k n+1, using the rational functions ϕ + ψ = X 1 /X 2, ϕψ = X 0 /X 2, (ψ ϕ) 2 = (X 2 1 4X 0 X 2 )/X 2 2, (ϕ(x) y m )(ψ(x) y m ) = (X 0 (x) + y m X 1 (x) + y 2 mx 2 (x))/x 2 (x) = F (x, y m )/X 2 (x) = Y 2 (y m )(x x m )(x x m 1 )/X 2 (x) :
19 Marseille-Luminy July 2007 Elliptic lattices. 6 Classical. 19 g n+1 ±h n+1 = ϕ y 2n+1 h n (ϕ y 2n+1)(α n ψ + β n ) k n ψ y 2n+1 g n (ψ y 2n+1)(α n ϕ + β n ) ϕ y 2n (ϕ y 2n )(ψ y 2n ) ψ y 2n (ϕ y 2n )(ψ y 2n ) = 1 [ ϕ y2n+1 + ψ y ] 2n+1 (h n ± g n ) 1 [ ϕ y2n+1 ψ y ] 2n+1 (h n g n ) 2 ϕ y 2n ψ y 2n 2 ϕ y 2n ψ y 2n (ϕ y 2n+1)(α n ψ + β n ) ± (ψ y 2n+1 )(α n ϕ + β n ) k n (ϕ y 2n )(ψ y 2n ) = 1 2 so, or [ ] 2X0 + (y 2n + y 2n+1 )X 1 + 2y 2n y 2n+1 X 2 X 2 F (x, y 2n ) (h n ± g n ) (y 2n+1 y 2n )(ϕ ψ) (g n h n ) 2F (x, y 2n ) α n[(1 ± 1)ϕψ y 2n+1 (ψ ± ϕ)] + β n [ϕ ± ψ y 2n+1 (1 ± 1)] k n F (x, y 2n ) a n+1 = (h n+1 g n+1 )(ψ ϕ)/2 = 2X 0 + (y 2n + y 2n+1 )X 1 + 2y 2n y 2n+1 X 2 2F (x, y 2n ) [ +(ψ ϕ) 2 y2n+1 y 2n c n + α ] ny 2n+1 + β n d n 2F (x, y 2n )/X 2 F (x, y 2n )/X 2 a n+1 = 2X 0 + (y 2n + y 2n+1 )X 1 + 2y 2n y 2n+1 X 2 a n 2F (x, y 2n ) + (X1 2 4X 0 X 2 ) [(y 2n+1 y 2n )c n + 2(α n y 2n+1 + β n )d n ]/X 2. (38) 2F (x, y 2n ) c n+1 = (h n+1 + g n+1 )/2 = 2X 0 + (y 2n + y 2n+1 )X 1 + 2y 2n y 2n+1 X 2 c n 2F (x, y 2n ) + y 2n+1 y 2n 2F (x, y 2n ) X 2a n α n(2x 0 + y 2n+1 X 1 ) β n (X 1 + 2y 2n+1 X 2 ) d n 2F (x, y 2n ) b n+1 = (ϕ y 2n+1)(ψ y 2n+1 ) d n = F (x, y 2n+1) d n, (ϕ y 2n )(ψ y 2n ) F (x, y 2n d n+1 = α ny 2n + β n F (x, y 2n ) X 2a n + b n + [α n(2x 0 + y 2n X 1 ) β n (X 1 + 2y 2n X 2 )]c n + (αnx 2 0 α n β n X 1 + βnx 2 2 )d n F (x, y 2n ) From the theorem of 5.3, a n+1,..., d n+1 must remain polynomials of fixed degree. This can be rechecked, knowing that X 2 is a factor of b n, c n, and d n, that b n (x 2n 1 ) = d n (x 2n 1 ) = 0. And (37) becomes, using g n = a n /(ψ ϕ) c n, h n = a n /(ψ ϕ) c n, and (ψ ϕ) 2 = P/X2 2 = (X1 2 4X 0 X 2 )/X2 2 [ c 2 0 (x) b 0 (x)d 0 (x) c 2 n(x) b n (x)d n (x) P (x) a 2 x x 2n 1 X n(x) = C 2(x) 2 n x x 1 where C n = Y 2(y 2n 1 )Y 2 (y 2n 3 ) Y 2 (y 1 ) Y 2 (y 2n 2 )Y 2 (y 2n 4 ) Y 2 (y 0 ). X 2 2(x) a n ] P (x) a 2 0(x), (39) k n
20 Marseille-Luminy July 2007 Elliptic lattices. 7 Linear difference equations Classical case. We keep the lowest possible degree, which is 3, considering that b n and d n must be X 2 (x) times a polynomial containing the factor x x 2n 1. Let d n (x) = ζ n (x x 2n 1 )X 2 (x), a n of degree 3, and c n = X 2 times a polynomial of degree 1. b n+1 (x) = F (x, y 2n+1) F (x, y 2n ) ζ n(x x 2n 1 )X 2 (x) = Y 2(y 2n+1 ) Y 2 (y 2n ) ζ n(x x 2n+1 )X 2 (x) From the Riccati equation (29) at x = x 2n 1 and f n (y 2n ) = 0, we have a n (x 2n 1 ) y 2n y 2n 1 = c n (x 2n 1 ), allowing the divison of the left-hand side of (39), leaving c 2 n(x) b n (x)d n (x) P (x) a 2 X n(x) = C 2(x) 2 n (x x 2n 1 )Q(x), where Q is a fixed polynomial of degree 5. At each of the four zeros z 1,..., z 4 of P, a n (z j ) = ± C n (z j x 2n 1 )Q(z j ), allowing to recover the third degree polynomial a n from four values... should the square roots be determined! Square root-free relations come from (38) at z j, knowing that ϕ(z j ) = ψ(z j ), which we call ϕ j : a n+1 (z j ) = ϕ j y 2n+1 ϕ j y 2n a n (z j ) Remark that, from (39), Q(z j ) = a 2 0 (z j)/(z j x 1 ), so there is a subtle relation between the product of the (ϕ j y 2n+1 )/(ϕ j y 2n ) s and a square root of (z j x 2n 1 )/(z j x 1 ). Indeed, as explained in 2.3, eq. (17), the product is the value of the algebraic function X n at z j, where X = its conjugate X conj, so that the value is a square root of X (z j )X conj (z j ) = C n (z j y 2n+1 )/(z j x 1 ). Well, from (14), x m = z j means mh + h 0 = a sum of half-periods, so q m q 0 = 1 or ±p 1/2, and we have from (18)-(19) where σ j = ±1 or ±p 1/2. a n (z j ) = θ(q2n q 0σ j ) θ(q 0 σ j) a 0(z j ), j = 1,..., 4 7. Linear difference relations and equations for the numerators and the denominators of the interpolants., the recurrence relations for p n and q n being now ( 4.1.2, p. 13) p n+1 (x) = (α n x + β n )p n (x) (x y 2n 1 )(x y 2n )p n 1 (x), or p n 1 (x) = (α nx + β n )p n (x) p n+1 (x). (x y 2n 1 )(x y 2n )
21 Marseille-Luminy July 2007 Elliptic lattices. 7 Linear difference equations. 21 We now consider the linear recurrence satisfied by combinations of such products, i.e., by combinations of p n (ϕ)p n (ψ), p n (ϕ)q n 1 (ψ), q n 1 (ϕ)p n (ψ), and q n 1 (ϕ)q n 1 (ψ). We just have to consider a product r n s n, kowing that r n 1 = (α nϕ + β n )r n r n+1 (ϕ y 2n+1 )(ϕ y 2n+2 ), and s n 1 = (α nψ + β n )s n s n+1 (ψ y 2n 1 )(ψ y 2n ). Simplest way is to write it as matrix-vector recurrence. r n 1 s n 1 r n s n 1 r n 1 s n = r n s n A(ϕ) A(ψ) B(ψ) B(ϕ) A(ϕ)B(ψ) A(ψ)B(ϕ) A(ϕ)A(ψ) B(ϕ)B(ψ) 1 where A(t) = (t y 2n 1 )(t y 2n ) and B(t) = α n t + β n (t y 2n 1 )(t y 2n ). The matrix is D 1 n M T ne 1 n, where ψ y 2n 1 D n = ϕ y 2n 1 ϕ y 2n+1 E n = ψ y 2n r n+1 s n r n s n+1 r n+1 s n+1 r n s n, (ϕ y 2n 1 )(ψ y 2n 1 ) (ϕ y 2n+1 )(ψ y 2n+1 ), 1 (40) and where M T n is the transposed of the matrix of (36). This means that the recurrence of the r n s n s is basically the adjoint of the recurrence (36) of the (e n, g n, h n, k n ) s Remark that E n D n+1 = (ϕ y 2n+1 )(ψ y 2n+1 )I. So, (40) is ρ n 1 = D 1 n M T n E 1 n ρ n, g n D n ρ n 1 = g n M T n E 1 n ρ n = g n+1 E 1 n ρ n (from (36)), or (ϕ y 2n+1 )(ψ y 2n+1 )g n D n ρ n 1 = g n+1 D n+1 ρ n : g n+1 D n+1 ρ n = (ϕ y 1 )(ψ y 1 )(ϕ y 3 )(ψ y 3 ) (ϕ y 2n+1 )(ψ y 2n+1 )g 0 D 0 ρ 1 so that, for any choice of r n and s n (p n or q n ),
22 Marseille-Luminy July 2007 Elliptic lattices. 7 Linear difference equations. 22 (ψ y 2n+1 )g n+1 r n+1 s n +(ϕ y 2n+1 )h n+1 r n s n+1 +e n+1 r n+1 s n+1 +(ϕ y 2n+1 )(ψ y 2n+1 )k n+1 r n s n = (ϕ y 1 )(ψ y 1 )(ϕ y 3 )(ψ y 3 ) (ϕ y 2n+1 )(ψ y 2n+1 ) [(ψ y 1 )g 0 r 0 s 1 + (ϕ y 1 )h 0 r 1 s 0 + e 0 r 0 s 0 + (ϕ y 1 )(ψ y 1 )k 0 r 1 s 1 ] With the two choices (r, s) = (p, p) and (q, p): (ψ y 2n+1 )g n+1 p n+1 (ϕ)p n (ψ)+(ϕ y 2n+1 )h n+1 p n (ϕ)p n+1 (ψ)+e n+1 p n+1 (ϕ)p n+1 (ψ)+(ϕ y 2n+1 )(ψ y 2n+1 )k n+1 p n (ϕ)p n (ψ) = e 0 (ϕ y 1 )(ψ y 1 )(ϕ y 3 )(ψ y 3 ) (ϕ y 2n+1 )(ψ y 2n+1 ), (ψ y 2n+1 )g n+1 q n+1 (ϕ)p n (ψ)+(ϕ y 2n+1 )h n+1 q n (ϕ)p n+1 (ψ)+e n+1 q n+1 (ϕ)p n+1 (ψ)+(ϕ y 2n+1 )(ψ y 2n+1 )k n+1 q n (ϕ)p n (ψ) = (ϕ y 1 )h 0 q 1 (ϕ)(ϕ y 1 )(ψ y 1 )(ϕ y 3 )(ψ y 3 ) (ϕ y 2n+1 )(ψ y 2n+1 ), Multiply the first equation by q n (ϕ), the second one by p n (ϕ), and subtract: [q n (ϕ)p n+1 (ϕ) p n (ϕ)q n+1 (ϕ)][(ψ y 2n+1 )g n+1 p n (ψ) + e n+1 p n+1 (ψ)] = [q n (ϕ)e 0 p n (ϕ)(ϕ y 1 )h 0 q 1 (ϕ)](ϕ y 1 )(ψ y 1 )(ϕ y 3 )(ψ y 3 ) (ϕ y 2n+1 )(ψ y 2n+1 ), and using the Casorati relation (25) (ψ y 2n+1 )g n+1 p n (ψ) + e n+1 p n+1 (ψ) = [q n (ϕ)e 0 + p n (ϕ)h 0 ]X n+1, (41a) where X n+1 = (ψ y 1)(ψ y 3 ) (ψ y 2n+1 ) (ϕ y 0 )(ϕ y 2 ) (ϕ y 2n ). Similarly, with (r, s) = (p, p) and (p, q), (ϕ y 2n+1 )h n+1 p n (ϕ) + e n+1 p n+1 (ϕ) = [q n (ψ)e 0 + p n (ψ)g 0 ]Xn+1, conj (41b) where X conj n+1 = (ϕ y 1)(ϕ y 3 ) (ϕ y 2n+1 ) is the conjugate of the algebraic function (ψ y 0 )(ψ y 2 ) (ψ y 2n ) X n Difference equation for the denominator p n. Here, e 0 (x) 0. Take (41a) at ψ 1 (y): (y y 2n+1 )g n+1 (ψ 1 (y)))p n (y)+e n+1 (ψ 1 (y))p n+1 (y) = h 0 (ψ 1 (y))p n (ϕ(ψ 1 (y)))x n+1 (ψ 1 (y)), and (41b) at ϕ 1 (y): (y y 2n+1 )h n+1 (ϕ 1 (y))p n (y)+e n+1 (ϕ 1 (y))p n+1 (y) = g 0 (ϕ 1 (y))p n (ψ(ϕ 1 (y)))x conj n+1 (ϕ 1 (y)), so, p n+1 (y) = h 0(ψ 1 (y))p n (ϕ(ψ 1 (y)))x n+1 (ψ 1 (y)) (y y 2n+1 )g n+1 (ψ 1 (y)))p n (y) e n+1 (ψ 1 (y)) = g 0(ϕ 1 (y))p n (ψ(ϕ 1 (y)))x conj n+1 (ϕ 1 (y)) (y y 2n+1 )h n+1 (ϕ 1 (y))p n (y) e n+1 (ϕ 1 (y))
23 Marseille-Luminy July 2007 Elliptic lattices. 7 Linear difference equations. 23 possible only if h 0 (ψ 1 (y))p n (ϕ(ψ 1 (y)))x n+1 (ψ 1 (y)) e n+1 (ψ 1 (y)) At y = some y m : = g 0(ϕ 1 (y))p n (ψ(ϕ 1 (y)))x conj n+1 (ϕ 1 (y)) e n+1 (ϕ 1 (y)) [ gn+1 (ψ 1 (y))) e n+1 (ψ 1 (y)) h n+1(ϕ 1 (y)) e n+1 (ϕ 1 (y)) ] (y y 2n+1 )p n (y) h 0 (x m 1 )p n (y m 1 )X n+1 (x m 1 ) e n+1 (x m 1 ) g 0(x m )p n (y m+1 )X conj n+1 (x m ) e n+1 (x m ) = [ gn+1 (x m 1 ) e n+1 (x m 1 ) h n+1(x m ) e n+1 (x m ) ] (y m y 2n+1 )p n (y m ) Remark that X n+1 (x m 1 ) and X conj n+1(x m ) have the same numerator (y m y 1 )(y m y 3 ) (y m y 2n+1 ), so, g 0 (x m ) p n (y m+1 ) e n+1 (x m ) (y m+1 y 0 )(y m+1 y 2 ) (y m+1 y 2n ) h 0(x m 1 ) p n (y m 1 ) e n+1 (x m 1 ) (y m 1 y 0 )(y m 1 y 2 ) (y m 1 y 2n ) [ hn+1 (x m ) = e n+1 (x m ) g ] n+1(x m 1 ) p n (y m ) e n+1 (x m 1 ) (y m y 1 )(y m y 3 ) (y m y 2n 1 ), Therefore, R n (x) = =? If D means p n (x) (x y 0 )(x y 2 ) (x y 2n ) satisfies g 0 (x m ) e n+1 (x m ) R n(y m+1 ) h 0(x m 1 ) e n+1 (x m 1 ) R n(y m 1 ) ] [ hn+1 (x m ) e n+1 (x m ) g n+1(x m 1 ) e n+1 (x m 1 ) p n (y m ) (y m y 1 )(y m y 3 ) (y m y 2n 1 ), then (D (rdp))(y) = At y = some y m : (D p)(y) = p(ψ 1 (y)) p(ϕ 1 (y)), ψ 1 (y) ϕ 1 (y) r(ψ 1 (y)) p(y) p(ϕ(ψ 1 (y))) r(ϕ 1 (y)) p(ψ(ϕ 1 (y))) p(y) y ϕ(ψ 1 (y)) ψ(ϕ 1 (y)) y ψ 1 (y) ϕ 1 (y) (D (rdp))(y m ) = r(x m 1 ) p(y m) p(y m 1 ) y m y m 1 r(x m ) p(y m+1) p(y m ) y m+1 y m x m 1 x m
24 Marseille-Luminy July 2007 Elliptic lattices. 8 Hypergeometric? 24 r(x m )(y m y m 1 ) match if r(x m 1 )(y m+1 y m ) = g 0(x m )e n+1 (x m 1 ). We already encountered a function e n+1 (x m )h 0 (x m 1 ) w(x m ) satisfying a similar difference equation, from Pearson s equation (x m x m 1 )Y 2 (y m ) = g 0(x m 1 ) w(x m 1 ) h 0 (x m 1 ) (x m 1 x m 2 )Y 2 (y m 1 ). So, r(x m )e n+1 (x m ) (y m+1 y m )g 0 (x m ) = w(x m ) Y 2 (y m )(x m x m 1 ). (D p n (y m ) (rd)) (y m y 0 )(y m y 2 ) (y m y 2n ) p n (y m ) 1 = x m 1 x m r(x (y m y 0 )(y m y 2 ) (y m y 2n ) p n (y m 1 ) (y m 1 y 0 )(y m 1 y 2 ) (y m 1 y 2n ) m 1) y m y m 1 p n (y m+1 ) (y r(x m ) m+1 y 0 )(y m+1 y 2 ) (y m+1 y 2n ) p n (y m ) (y m y 0 )(y m y 2 ) (y m y 2n ) y m+1 y m r(x m )e n+1 (x m ) = (y m+1 y m )(x m 1 x m )g 0 (x m ) [ [ ] h0 (x m 1 ) p n (y m ) e n+1 (x m 1 ) (y m y 0 )(y m y 2 ) (y m y 2n ) p n (y m 1 ) (y m 1 y 0 )(y m 1 y 2 ) (y m 1 y 2n ) + g [ ]] 0(x m ) p n (y m+1 ) e n+1 (x m ) (y m+1 y 0 )(y m+1 y 2 ) (y m+1 y 2n ) p n (y m ) (y m y 0 )(y m y 2 ) (y m y 2n ) Therefore, R n (x) = p n (x) (x y 0 )(x y 2 ) (x y 2n ) satisfies (D r(x m )e n+1 (x m ) (rd))r n (y m ) = (y m+1 y m )(x m 1 x m )g 0 (x m ) [ h0 (x m 1 ) e n+1 (x m 1 ) g [ 0(x m ) e n+1 (x m ) + hn+1 (x m ) e n+1 (x m ) g n+1(x m 1 ) e n+1 (x m 1 ) 8. Hypergeometric expansions. ] (ym y 0 )(y m y 2 ) (y m y 2n ) (y m y 1 )(y m y 3 ) (y m y 2n 1 ) From: David R. Masson: The last of the hypergeometric continued fractions, Report-no: OP-SF 12 Sep Dharma P. Gupta; David R. Masson: Contiguous relations, continued fractions and orthogonality Trans. Amer. Math. Soc. 350 (1998), This article is available free of charge Building blocks: ] R n (y m )
25 Marseille-Luminy July 2007 Elliptic lattices. 8 Hypergeometric? 25 D (x y 0)(x y 1 ) (x y n 1 ) (x y 1)(x y 2) (x y n) = C n X 2 (x) (x x 0)(x x 1 ) (x x n 2 ) (x x 0)(x x 1) (x x n). Indeed, (ϕ(x) y 0 )(ϕ(x) y 1 ) (ϕ(x) y n 1 ) and (ψ(x) y 0 )(ψ(x) y 1 ) (ψ(x) y n 1 ) both vanish at x = x 0, x 1,..., x n 2, and similarly for the {x k }s and the {y k }s. The common denominator is (ϕ(x) y 1 )(ψ(x) y 1 )ϕ(x) y 2 )(ψ(x) y 2 ) = [F (x, y 1 )F (x, y 2 ) F (x, y n )]/Xn 2 (x) = Y 2 (y 1) Y 2 (y n)(x x 0)(x x 1) 2 (x x n 1) 2 (x x n)/x 2 (x) 2, and the numerator is [(ψ n (y y n 1 )ψ n 1 + )(ϕ n (y y n )ϕn 1 + ) (ϕ n (y y n 1 )ϕ n 1 + )(ψ n (y y n)ψ n 1 + )]/(ψ ϕ) = (y 0 + y n 1 y 1 y n )ϕn 1 ψ n 1 +, a symmetric polynomial of degree 2n 2 vanishing at x = x 0, x 1,..., x n 2 and x = x 1, x 2,..., x n 1. The constant C n is found through particular values of x, either x 1 or x n 1 : (y 1 y 1 ) (y 1 y n 1 ) (x 1 x 0 C n = )(x 1 x 1 ) (x 1 x n ) (y 1 y 1)(y 1 y 2) (y 1 y n ) X 2 (x 1 )(x 1 x 0 )(x 1 x 1 ) (x 1 x n 2 ) = (y n y 0 )(y n y 1 ) (y n y n 2 ) (x n 1 x 0 )(x n 1 x 1 ) (x n 1 x n ) (y n y 1)(y n y 2) (y n y n ) X 2 (x n 1 )(x n 1 x 0 )(x n 1 x 1 ) (x n 1 x n 2 ) (Of course, C 0 = 0). Also, (ϕ(x) y 0 )(ϕ(x) y 1 ) (ϕ(x) y n 1 ) (ϕ(x) y 1)(ϕ(x) y 2) (ϕ(x) y n) + (ψ(x) y 0)(ψ(x) y 1 ) (ψ(x) y n 1 ) (ψ(x) y 1)(ψ(x) y 2) (ψ(x) y n) = D n (x) (x x 0)(x x 1 ) (x x n 2 ) (x x 0 )(x x 1 ) (x x n ), where D n is a polynomial of degree 2. Now let us consider the difference equation (23) of the elliptic logarithm with f(x) = N (x y 0 )(x y 1 ) (x y k 1 ) γ k (x y 0 1)(x y 2) (x y k ), as we know that the poles are the y s and that f in interpolated at y 0, y 1,... (cf. Zhedanov [51]). Here, a(x) = (x x 0 )(x x N ), c = 0, and d is a constant time X 2 in (22): (x x 0 )(x x N ) Df(x) = x N X 2 (x) x 0. (x x N) N k=1 γ k C k (x x 0 )(x x 1 ) (x x k 2 ) (x x 1 )(x x 2 ) (x x k ) = x N x 0. Use x x N = x N x k (x x x k 1 x k 1 ) + x k 1 x N (x x k x k 1 x k ): k N k=0 [ x N γ k C ] x k x k x N (x x0 )(x x 1 ) (x x k 1 ) k + γ x k 1 x k+1 C k+1 k x k x k+1 (x x 1 )(x x 2 ) (x x k ) = x N x 0.
26 Marseille-Luminy July 2007 Elliptic lattices. 8 Hypergeometric? 26 So, γ 1 C 1 x 0 x N x 0 x 1 = x N x 0, γ k = x k 1 x k (x 0 x N )(x 1 x N ) (x k 1 x N ) C k (x 0 x N )(x 1 x N ) (x k = 1,, N. k 1 x N ), p n f q n vanishes at x = y 0, y 1, y 2n. Let n p n (x) = δ j (x y 0 )(x y 1 ) (x y j 1 ) 0. We shall manage to represent p n (x)f(x) as a polynomial of degree n (which will be q n ) plus a sum of terms (x y 0)(x y 1 ) (x y k+n 1 ) (x y 1)(x y 2) (x y k ), k = 1, 2,..., N, with vanishing coefficients when k = 1, 2,..., n. x y 0 At n = 1, p 1 (x) = α 0 x + β 0 which interpolates f(x) f(y 0 ) at x = y 1 and y 2 α 0 y 2 + β 0 = whence α 0 = 1 γ 1 γ 1 γ 2 y 1 y 1 y 2 y 2 γ 1 + γ 2 y 2 y 1 y 2 y 2 α 0 y 1 + β 0 = y 1 y 1 γ 1 = (x 1 x 0)(x 2 x N ) (x N x 0)X 2 (x 1 ), y 2 y 0 = y 2 y 0 (y 2 y 0 )(y 2 y 1 ) γ 1 + γ y 2 y 1 2 (y 2 y 1 )(y 2 y 2 ) y 2 y 1 γ 1 + γ 2 y 2 y 1 y 2 y 2 p 1 (x)f(x) = γ 0 (α 0 x + β 0 ) + γ 1 (α 0 x + β 0 ) x y 0 + γ x y 1 2 (α 0 x + β 0 ) (x y 0)(x y 1 ) (x y 1)(x y 2) + Use α 0 x + β 0 = αy k + β 0 y k y k (x y k) + αy k + β 0 y k y (x y k ): k α 0 y 1 + β 0 α 0 y 1 + β 0 (x y 0 )(x y 1 ) α 0 y 2 + β 0 p 1 (x)f(x) = γ 0 (α 0 x + β 0 ) + γ 1 (x y y 1 y 1 0 ) +γ 1 +γ y 1 }{{} y 1 x y 1 2 y 2 y 2 q 1 (x) α 0 y 2 + β 0 (x y 0 )(x y 1 )(x y 2 ) +γ 2 + y 2 y 2 (x y 1)(x y 2) and we have to check that γ 1 α 0 y 1 + β 0 y 1 y 1 + γ 2 α 0 y 2 + β 0 y 2 y 2 = α 0 y 1 + β 0 α 0 y 2 + β 0 γ 1 α 0 + γ 1 + γ y 1 2 y 1 y 2 y 2 = γ 1(y 2 y 2) γ 2 (y 1 y 1) γ 1 (y 2 y 2) + γ 2 (y 2 y 1 ) 1 + γ y 2 y 1 2 γ 1 (y 2 y 2) + γ 2 (y 2 y 1 ) = 0. (x y 0 )(x y 1 ) x y 1
27 Marseille-Luminy July 2007 Elliptic lattices. 9 References. 27 p 1 f(x) q 1 (x) = N k=2 [ α 0 y k γ + β ] 0 α 0 y k+1 + β 0 (x y0 )(x y 1 ) (x y k ) k y k y + γ k+1 k y k+1 y k+1 (x y 1)(x y 2) (x y k ) For a general n, we represent the unknown denominator as p n (x) = n δ j (x y 0 )(x y 1 ) (x y j 1 )(x y j+1) (x y n) j=0. Then, in each term of p n (x)f(x) = n j=0 δ jf(x)(x y 0 )(x y 1 ) (x y j 1 )(x N y j+1 ) (x y n ), we expand f as f(x) = (x y j )(x y j+1 ) (x y j+k 1 ) γ k,j (x y 1 )(x y 2 ) (x y k ), so p n (x)f(x) = n j=0 δ j N k=0 0 γ k,j (x y 0 )(x y 1 ) (x y j+k 1 ) (x y 1)(x y 2) (x y k ) 9. References [1] N.I. Akhiezer, Elements of the Theory of Elliptic Functions, translated from the 2 nd Russian edition (Nauka, Moscow, 1970), Transl. Math. Monographs 79, A.M.S., Providence, [2] Andrews George E.; Askey Richard; Roy Ranjan, Special Functions, Cambridge university press, Encyclopedia of mathematics and its applications. 71, [3] A.I. Aptekarev, Asymptotic properties of polynomials orthogonal on a system of contours, and periodic motions of Toda lattices, Mat. Sb. 125 (167) (1984) (Russian) = Math. USSR Sb. 53 (1986) [4] A.I. Aptekarev, H. Stahl, Asymptotics of Hermite-Pad polynomials, in: A.A. Gonchar, E.B. Saff (Eds.), Progress in Approximation Theory, Springer, Berlin, 1992, pp [5] R. Askey, J. Wilson, Some basic hypergeometric orthogonal polynomials that generalize Jacobi polynomials, Mem. A. M. S. 54 no. 319, pp [6] G.A. Baker, Jr., Essentials of Padé Approximants, Ac. Press, new York, [7] C. Brezinski, History of Continued Fractions and Padé Approximants, Springer, Berlin, [8] B.M. Brown, W.D. Evans, M.E.H. Ismail, The Askey-Wilson polynomials and q-sturm-liouville problems, Math. Proc. Camb. Philos. Soc. 119 (1996) [9] V. P. Burskii, A. S. Zhedanov, The Dirichlet and the Poncelet problems, Reports of RIAM Symposium No.16ME-S1 Physics and Mathematical Structures of Nonlinear Waves Proceedings of a symposium held at Chikushi Campus, Kyushu Universiy, Kasuga, Fukuoka, Japan, November 15-17, No 24.pdf [10] Vladimir P. BURSKII and Alexei S. ZHEDANOV, Dirichlet and Neumann Problems for String Equation, Poncelet Problem and Pell-Abel Equation, Symmetry, Integrability and Geometry: Methods and Applications Vol. 2 (2006), Paper 041, 5 pages arxiv:math.ap/ v1 12 April 2006 [11] J.S. Geronimo, W. Van Assche, Orthogonal polynomials with asymptotically periodic recurrence coefficients, J. Approx. Theory 46 (1986), [12] J.S. Geronimo, W. Van Assche, Orthogonal polynomials on several intervals via a polynomial mapping, Trans. Amer. Math. Soc. 308 (1988), [13] J. Gilewicz, Approximants de Padé, Lect. Notes Math. 667, Springer, Berlin, [14] Gruenbaum, F.Alberto; Haine, Luc: On a q-analogue of Gauss equation and some q-riccati equations, in Ismail, Mourad E. H. (ed.) et al., Special functions, q-series and related topics. Providence, RI: American Mathematical Society, Fields Inst. Commun. 14, (1997).
Alphonse Magnus, Université Catholique de Louvain.
Rational interpolation to solutions of Riccati difference equations on elliptic lattices. Alphonse Magnus, Université Catholique de Louvain. http://www.math.ucl.ac.be/membres/magnus/ Elliptic Riccati,
More informationPADÉ INTERPOLATION TABLE AND BIORTHOGONAL RATIONAL FUNCTIONS
ELLIPTIC INTEGRABLE SYSTEMS PADÉ INTERPOLATION TABLE AND BIORTHOGONAL RATIONAL FUNCTIONS A.S. ZHEDANOV Abstract. We study recurrence relations and biorthogonality properties for polynomials and rational
More informationOn integral representations of q-gamma and q beta functions
On integral representations of -gamma and beta functions arxiv:math/3232v [math.qa] 4 Feb 23 Alberto De Sole, Victor G. Kac Department of Mathematics, MIT 77 Massachusetts Avenue, Cambridge, MA 239, USA
More informationThis ODE arises in many physical systems that we shall investigate. + ( + 1)u = 0. (λ + s)x λ + s + ( + 1) a λ. (s + 1)(s + 2) a 0
Legendre equation This ODE arises in many physical systems that we shall investigate We choose We then have Substitution gives ( x 2 ) d 2 u du 2x 2 dx dx + ( + )u u x s a λ x λ a du dx λ a λ (λ + s)x
More informationMS 3011 Exercises. December 11, 2013
MS 3011 Exercises December 11, 2013 The exercises are divided into (A) easy (B) medium and (C) hard. If you are particularly interested I also have some projects at the end which will deepen your understanding
More informationChapter 2 Non-linear Equations
Chapter 2 Non-linear Equations 2.1 First Examples of Non-linear Ordinary Differential Equations Before describing some general properties of non-linear equations, we find it useful to present some well-known
More informationOPSF, Random Matrices and Riemann-Hilbert problems
OPSF, Random Matrices and Riemann-Hilbert problems School on Orthogonal Polynomials in Approximation Theory and Mathematical Physics, ICMAT 23 27 October, 207 Plan of the course lecture : Orthogonal Polynomials
More informationLEGENDRE POLYNOMIALS AND APPLICATIONS. We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates.
LEGENDRE POLYNOMIALS AND APPLICATIONS We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates.. Legendre equation: series solutions The Legendre equation is
More informationEXAMPLES OF PROOFS BY INDUCTION
EXAMPLES OF PROOFS BY INDUCTION KEITH CONRAD 1. Introduction In this handout we illustrate proofs by induction from several areas of mathematics: linear algebra, polynomial algebra, and calculus. Becoming
More information7 Asymptotics for Meromorphic Functions
Lecture G jacques@ucsd.edu 7 Asymptotics for Meromorphic Functions Hadamard s Theorem gives a broad description of the exponential growth of coefficients in power series, but the notion of exponential
More informationSolution: f( 1) = 3 1)
Gateway Questions How to Evaluate Functions at a Value Using the Rules Identify the independent variable in the rule of function. Replace the independent variable with big parenthesis. Plug in the input
More informationMath 20B Supplement. Bill Helton. September 23, 2004
Math 0B Supplement Bill Helton September 3, 004 1 Supplement to Appendix G Supplement to Appendix G and Chapters 7 and 9 of Stewart Calculus Edition 5: August 003 Contents 1 Complex Exponentials: For Appendix
More informationOPSF, Random Matrices and Riemann-Hilbert problems
OPSF, Random Matrices and Riemann-Hilbert problems School on Orthogonal Polynomials in Approximation Theory and Mathematical Physics, ICMAT 23 27 October, 2017 Plan of the course lecture 1: Orthogonal
More informationMathematics 136 Calculus 2 Everything You Need Or Want To Know About Partial Fractions (and maybe more!) October 19 and 21, 2016
Mathematics 36 Calculus 2 Everything You Need Or Want To Know About Partial Fractions (and maybe more!) October 9 and 2, 206 Every rational function (quotient of polynomials) can be written as a polynomial
More informationTwo special equations: Bessel s and Legendre s equations. p Fourier-Bessel and Fourier-Legendre series. p
LECTURE 1 Table of Contents Two special equations: Bessel s and Legendre s equations. p. 259-268. Fourier-Bessel and Fourier-Legendre series. p. 453-460. Boundary value problems in other coordinate system.
More information8.3 Partial Fraction Decomposition
8.3 partial fraction decomposition 575 8.3 Partial Fraction Decomposition Rational functions (polynomials divided by polynomials) and their integrals play important roles in mathematics and applications,
More informationMath 20B Supplement. Bill Helton. August 3, 2003
Math 0B Supplement Bill Helton August 3, 003 Supplement to Appendix G Supplement to Appendix G and Chapters 7 and 9 of Stewart Calculus Edition 4: August 003 Contents Complex Exponentials: For Appendix
More informationSolutions: Problem Set 3 Math 201B, Winter 2007
Solutions: Problem Set 3 Math 201B, Winter 2007 Problem 1. Prove that an infinite-dimensional Hilbert space is a separable metric space if and only if it has a countable orthonormal basis. Solution. If
More informationProblem 1A. Suppose that f is a continuous real function on [0, 1]. Prove that
Problem 1A. Suppose that f is a continuous real function on [, 1]. Prove that lim α α + x α 1 f(x)dx = f(). Solution: This is obvious for f a constant, so by subtracting f() from both sides we can assume
More informationAsymptotics of Integrals of. Hermite Polynomials
Applied Mathematical Sciences, Vol. 4, 010, no. 61, 04-056 Asymptotics of Integrals of Hermite Polynomials R. B. Paris Division of Complex Systems University of Abertay Dundee Dundee DD1 1HG, UK R.Paris@abertay.ac.uk
More informationNovember 20, Interpolation, Extrapolation & Polynomial Approximation
Interpolation, Extrapolation & Polynomial Approximation November 20, 2016 Introduction In many cases we know the values of a function f (x) at a set of points x 1, x 2,..., x N, but we don t have the analytic
More informationQUADRATIC ELEMENTS IN A CENTRAL SIMPLE ALGEBRA OF DEGREE FOUR
QUADRATIC ELEMENTS IN A CENTRAL SIMPLE ALGEBRA OF DEGREE FOUR MARKUS ROST Contents Introduction 1 1. Preliminaries 2 2. Construction of quadratic elements 2 3. Existence of biquadratic subextensions 4
More informationUNIFORM BOUNDS FOR BESSEL FUNCTIONS
Journal of Applied Analysis Vol. 1, No. 1 (006), pp. 83 91 UNIFORM BOUNDS FOR BESSEL FUNCTIONS I. KRASIKOV Received October 8, 001 and, in revised form, July 6, 004 Abstract. For ν > 1/ and x real we shall
More informationAutomatic Proofs of Identities: Beyond A=B
Bruno.Salvy@inria.fr FPSAC, Linz, July 20, 2009 Joint work with F. Chyzak and M. Kauers 1 / 28 I Introduction 2 / 28 Examples of Identities: Definite Sums, q-sums, Integrals n k=0 + 0 1 2πi n=0 ( ) H n
More information1.2. Indices. Introduction. Prerequisites. Learning Outcomes
Indices.2 Introduction Indices, or powers, provide a convenient notation when we need to multiply a number by itself several times. In this section we explain how indices are written, and state the rules
More informationPositivity of Turán determinants for orthogonal polynomials
Positivity of Turán determinants for orthogonal polynomials Ryszard Szwarc Abstract The orthogonal polynomials p n satisfy Turán s inequality if p 2 n (x) p n 1 (x)p n+1 (x) 0 for n 1 and for all x in
More informationDegree Master of Science in Mathematical Modelling and Scientific Computing Mathematical Methods I Thursday, 12th January 2012, 9:30 a.m.- 11:30 a.m.
Degree Master of Science in Mathematical Modelling and Scientific Computing Mathematical Methods I Thursday, 12th January 2012, 9:30 a.m.- 11:30 a.m. Candidates should submit answers to a maximum of four
More informationCALCULUS JIA-MING (FRANK) LIOU
CALCULUS JIA-MING (FRANK) LIOU Abstract. Contents. Power Series.. Polynomials and Formal Power Series.2. Radius of Convergence 2.3. Derivative and Antiderivative of Power Series 4.4. Power Series Expansion
More informationNotes on character sums and complex functions over nite elds
Notes on character sums and complex functions over nite elds N. V. Proskurin Abstract. The intent of this notes is to present briey the complex functions over nite elds theory. That includes: (a) additive
More informationMultiple Orthogonal Polynomials
Summer school on OPSF, University of Kent 26 30 June, 2017 Introduction For this course I assume everybody is familiar with the basic theory of orthogonal polynomials: Introduction For this course I assume
More informationUltraspherical moments on a set of disjoint intervals
Ultraspherical moments on a set of disjoint intervals arxiv:90.049v [math.ca] 4 Jan 09 Hashem Alsabi Université des Sciences et Technologies, Lille, France hashem.alsabi@gmail.com James Griffin Department
More informationbe any ring homomorphism and let s S be any element of S. Then there is a unique ring homomorphism
21. Polynomial rings Let us now turn out attention to determining the prime elements of a polynomial ring, where the coefficient ring is a field. We already know that such a polynomial ring is a UFD. Therefore
More informationPhysics 250 Green s functions for ordinary differential equations
Physics 25 Green s functions for ordinary differential equations Peter Young November 25, 27 Homogeneous Equations We have already discussed second order linear homogeneous differential equations, which
More information5.4 Bessel s Equation. Bessel Functions
SEC 54 Bessel s Equation Bessel Functions J (x) 87 # with y dy>dt, etc, constant A, B, C, D, K, and t 5 HYPERGEOMETRIC ODE At B (t t )(t t ), t t, can be reduced to the hypergeometric equation with independent
More informationDifference Equations for Multiple Charlier and Meixner Polynomials 1
Difference Equations for Multiple Charlier and Meixner Polynomials 1 WALTER VAN ASSCHE Department of Mathematics Katholieke Universiteit Leuven B-3001 Leuven, Belgium E-mail: walter@wis.kuleuven.ac.be
More informationAS PURE MATHS REVISION NOTES
AS PURE MATHS REVISION NOTES 1 SURDS A root such as 3 that cannot be written exactly as a fraction is IRRATIONAL An expression that involves irrational roots is in SURD FORM e.g. 2 3 3 + 2 and 3-2 are
More informationMultiple orthogonal polynomials. Bessel weights
for modified Bessel weights KU Leuven, Belgium Madison WI, December 7, 2013 Classical orthogonal polynomials The (very) classical orthogonal polynomials are those of Jacobi, Laguerre and Hermite. Classical
More informationMath Homework 2
Math 73 Homework Due: September 8, 6 Suppose that f is holomorphic in a region Ω, ie an open connected set Prove that in any of the following cases (a) R(f) is constant; (b) I(f) is constant; (c) f is
More informationConnection Formula for Heine s Hypergeometric Function with q = 1
Connection Formula for Heine s Hypergeometric Function with q = 1 Ryu SASAKI Department of Physics, Shinshu University based on arxiv:1411.307[math-ph], J. Phys. A in 48 (015) 11504, with S. Odake nd Numazu
More informationMarch Algebra 2 Question 1. March Algebra 2 Question 1
March Algebra 2 Question 1 If the statement is always true for the domain, assign that part a 3. If it is sometimes true, assign it a 2. If it is never true, assign it a 1. Your answer for this question
More informationChapter 2 Polynomial and Rational Functions
Chapter 2 Polynomial and Rational Functions Section 1 Section 2 Section 3 Section 4 Section 5 Section 6 Section 7 Quadratic Functions Polynomial Functions of Higher Degree Real Zeros of Polynomial Functions
More informationSection 0.2 & 0.3 Worksheet. Types of Functions
MATH 1142 NAME Section 0.2 & 0.3 Worksheet Types of Functions Now that we have discussed what functions are and some of their characteristics, we will explore different types of functions. Section 0.2
More information18. Cyclotomic polynomials II
18. Cyclotomic polynomials II 18.1 Cyclotomic polynomials over Z 18.2 Worked examples Now that we have Gauss lemma in hand we can look at cyclotomic polynomials again, not as polynomials with coefficients
More informationLinear Algebra Review (Course Notes for Math 308H - Spring 2016)
Linear Algebra Review (Course Notes for Math 308H - Spring 2016) Dr. Michael S. Pilant February 12, 2016 1 Background: We begin with one of the most fundamental notions in R 2, distance. Letting (x 1,
More informationTransformation formulas for the generalized hypergeometric function with integral parameter differences
Transformation formulas for the generalized hypergeometric function with integral parameter differences A. R. Miller Formerly Professor of Mathematics at George Washington University, 66 8th Street NW,
More informationTAYLOR SERIES FOR THE ASKEY-WILSON OPERATOR AND CLASSICAL SUMMATION FORMULAS arxiv:math/ v2 [math.ca] 26 Aug 2005
TAYLOR SERIES FOR THE ASKEY-WILSON OPERATOR AND CLASSICAL SUMMATION FORMULAS arxiv:math/0348v [math.ca] 6 Aug 005 BERNARDO LÓPEZ, JOSÉ MANUEL MARCO AND JAVIER PARCET Abstract. An analogue of Taylor s formula,
More informationFunctional equations for Feynman integrals
Functional equations for Feynman integrals O.V. Tarasov JINR, Dubna, Russia October 9, 016, Hayama, Japan O.V. Tarasov (JINR) Functional equations for Feynman integrals 1 / 34 Contents 1 Functional equations
More informationB.Sc. MATHEMATICS I YEAR
B.Sc. MATHEMATICS I YEAR DJMB : ALGEBRA AND SEQUENCES AND SERIES SYLLABUS Unit I: Theory of equation: Every equation f(x) = 0 of n th degree has n roots, Symmetric functions of the roots in terms of the
More informationIntegral representations for the Dirichlet L-functions and their expansions in Meixner-Pollaczek polynomials and rising factorials
Integral representations for the Dirichlet L-functions and their expansions in Meixner-Pollaczek polynomials and rising factorials A. Kuznetsov Dept. of Mathematical Sciences University of New Brunswick
More informationHow might we evaluate this? Suppose that, by some good luck, we knew that. x 2 5. x 2 dx 5
8.4 1 8.4 Partial Fractions Consider the following integral. 13 2x (1) x 2 x 2 dx How might we evaluate this? Suppose that, by some good luck, we knew that 13 2x (2) x 2 x 2 = 3 x 2 5 x + 1 We could then
More informationAdditional material: Linear Differential Equations
Chapter 5 Additional material: Linear Differential Equations 5.1 Introduction The material in this chapter is not formally part of the LTCC course. It is included for completeness as it contains proofs
More informationPublic-key Cryptography: Theory and Practice
Public-key Cryptography Theory and Practice Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Chapter 2: Mathematical Concepts Divisibility Congruence Quadratic Residues
More informationReciprocity formulae for general Dedekind Rademacher sums
ACTA ARITHMETICA LXXIII4 1995 Reciprocity formulae for general Dedekind Rademacher sums by R R Hall York, J C Wilson York and D Zagier Bonn 1 Introduction Let B 1 x = { x [x] 1/2 x R \ Z, 0 x Z If b and
More informationb n x n + b n 1 x n b 1 x + b 0
Math Partial Fractions Stewart 7.4 Integrating basic rational functions. For a function f(x), we have examined several algebraic methods for finding its indefinite integral (antiderivative) F (x) = f(x)
More informationA matrix over a field F is a rectangular array of elements from F. The symbol
Chapter MATRICES Matrix arithmetic A matrix over a field F is a rectangular array of elements from F The symbol M m n (F ) denotes the collection of all m n matrices over F Matrices will usually be denoted
More informationCHAPTER 2 POLYNOMIALS KEY POINTS
CHAPTER POLYNOMIALS KEY POINTS 1. Polynomials of degrees 1, and 3 are called linear, quadratic and cubic polynomials respectively.. A quadratic polynomial in x with real coefficient is of the form a x
More informationLecture 12: Detailed balance and Eigenfunction methods
Miranda Holmes-Cerfon Applied Stochastic Analysis, Spring 2015 Lecture 12: Detailed balance and Eigenfunction methods Readings Recommended: Pavliotis [2014] 4.5-4.7 (eigenfunction methods and reversibility),
More informationINTRODUCTION TO PADÉ APPROXIMANTS. E. B. Saff Center for Constructive Approximation
INTRODUCTION TO PADÉ APPROXIMANTS E. B. Saff Center for Constructive Approximation H. Padé (1863-1953) Student of Hermite Histhesiswon French Academy of Sciences Prize C. Hermite (1822-1901) Used Padé
More informationCore Mathematics 3 Algebra
http://kumarmathsweeblycom/ Core Mathematics 3 Algebra Edited by K V Kumaran Core Maths 3 Algebra Page Algebra fractions C3 The specifications suggest that you should be able to do the following: Simplify
More information1.2. Indices. Introduction. Prerequisites. Learning Outcomes
Indices 1.2 Introduction Indices, or powers, provide a convenient notation when we need to multiply a number by itself several times. In this Section we explain how indices are written, and state the rules
More informationM.SC. PHYSICS - II YEAR
MANONMANIAM SUNDARANAR UNIVERSITY DIRECTORATE OF DISTANCE & CONTINUING EDUCATION TIRUNELVELI 627012, TAMIL NADU M.SC. PHYSICS - II YEAR DKP26 - NUMERICAL METHODS (From the academic year 2016-17) Most Student
More informationPoisson Algebras on Elliptic Curves
Proceedings of Institute of Mathematics of NAS of Ukraine 2004, Vol. 50, Part 3, 1116 1123 Poisson Algebras on Elliptic Curves A. KOROVNICHENKO,V.P.SPIRIDONOV and A.S. ZHEDANOV University of Notre-Dame,
More informationAdditional Practice Lessons 2.02 and 2.03
Additional Practice Lessons 2.02 and 2.03 1. There are two numbers n that satisfy the following equations. Find both numbers. a. n(n 1) 306 b. n(n 1) 462 c. (n 1)(n) 182 2. The following function is defined
More informationMath 20B Supplement Linked to Stewart, Edition 5. December 2005 version
Math 20B Supplement Linked to Stewart, Edition 5 December 2005 version Bill Helton - The Maintenance Crew Written By Ed Bender, Bill Helton Contributions by John Eggers and Magdelana Musat Supplement to
More informationMATH 205C: STATIONARY PHASE LEMMA
MATH 205C: STATIONARY PHASE LEMMA For ω, consider an integral of the form I(ω) = e iωf(x) u(x) dx, where u Cc (R n ) complex valued, with support in a compact set K, and f C (R n ) real valued. Thus, I(ω)
More informationProperties of orthogonal polynomials
University of South Africa LMS Research School University of Kent, Canterbury Outline 1 Orthogonal polynomials 2 Properties of classical orthogonal polynomials 3 Quasi-orthogonality and semiclassical orthogonal
More informationLinear Algebra. Min Yan
Linear Algebra Min Yan January 2, 2018 2 Contents 1 Vector Space 7 1.1 Definition................................. 7 1.1.1 Axioms of Vector Space..................... 7 1.1.2 Consequence of Axiom......................
More informationA Partial List of Topics: Math Spring 2009
A Partial List of Topics: Math 112 - Spring 2009 This is a partial compilation of a majority of the topics covered this semester and may not include everything which might appear on the exam. The purpose
More informationARCS IN FINITE PROJECTIVE SPACES. Basic objects and definitions
ARCS IN FINITE PROJECTIVE SPACES SIMEON BALL Abstract. These notes are an outline of a course on arcs given at the Finite Geometry Summer School, University of Sussex, June 26-30, 2017. Let K denote an
More informationOR MSc Maths Revision Course
OR MSc Maths Revision Course Tom Byrne School of Mathematics University of Edinburgh t.m.byrne@sms.ed.ac.uk 15 September 2017 General Information Today JCMB Lecture Theatre A, 09:30-12:30 Mathematics revision
More informationRational Functions. Elementary Functions. Algebra with mixed fractions. Algebra with mixed fractions
Rational Functions A rational function f (x) is a function which is the ratio of two polynomials, that is, Part 2, Polynomials Lecture 26a, Rational Functions f (x) = where and are polynomials Dr Ken W
More informationSPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS
SPRING 006 PRELIMINARY EXAMINATION SOLUTIONS 1A. Let G be the subgroup of the free abelian group Z 4 consisting of all integer vectors (x, y, z, w) such that x + 3y + 5z + 7w = 0. (a) Determine a linearly
More informationSeparation of Variables in Linear PDE: One-Dimensional Problems
Separation of Variables in Linear PDE: One-Dimensional Problems Now we apply the theory of Hilbert spaces to linear differential equations with partial derivatives (PDE). We start with a particular example,
More informationPUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include
PUTNAM TRAINING POLYNOMIALS (Last updated: December 11, 2017) Remark. This is a list of exercises on polynomials. Miguel A. Lerma Exercises 1. Find a polynomial with integral coefficients whose zeros include
More informationMSM120 1M1 First year mathematics for civil engineers Revision notes 3
MSM0 M First year mathematics for civil engineers Revision notes Professor Robert. Wilson utumn 00 Functions Definition of a function: it is a rule which, given a value of the independent variable (often
More informationNotes on generating functions in automata theory
Notes on generating functions in automata theory Benjamin Steinberg December 5, 2009 Contents Introduction: Calculus can count 2 Formal power series 5 3 Rational power series 9 3. Rational power series
More informationApproximation theory
Approximation theory Xiaojing Ye, Math & Stat, Georgia State University Spring 2019 Numerical Analysis II Xiaojing Ye, Math & Stat, Georgia State University 1 1 1.3 6 8.8 2 3.5 7 10.1 Least 3squares 4.2
More informationHyperelliptic Jacobians in differential Galois theory (preliminary report)
Hyperelliptic Jacobians in differential Galois theory (preliminary report) Jerald J. Kovacic Department of Mathematics The City College of The City University of New York New York, NY 10031 jkovacic@member.ams.org
More informationProof of a conjecture by Ðoković on the Poincaré series of the invariants of a binary form
Proof of a conjecture by Ðoković on the Poincaré series of the invariants of a binary form A. Blokhuis, A. E. Brouwer, T. Szőnyi Abstract Ðoković [3] gave an algorithm for the computation of the Poincaré
More information1. Use the properties of exponents to simplify the following expression, writing your answer with only positive exponents.
Math120 - Precalculus. Final Review. Fall, 2011 Prepared by Dr. P. Babaali 1 Algebra 1. Use the properties of exponents to simplify the following expression, writing your answer with only positive exponents.
More information1 Assignment 1: Nonlinear dynamics (due September
Assignment : Nonlinear dynamics (due September 4, 28). Consider the ordinary differential equation du/dt = cos(u). Sketch the equilibria and indicate by arrows the increase or decrease of the solutions.
More informationOn character sums and complex functions over nite elds
On character sums and complex functions over nite elds N. V. Proskurin April 17, 2018 In this lecture I want to present the complex functions over nite elds theory. The theory has been developed through
More information1 Roots of polynomials
CS348a: Computer Graphics Handout #18 Geometric Modeling Original Handout #13 Stanford University Tuesday, 9 November 1993 Original Lecture #5: 14th October 1993 Topics: Polynomials Scribe: Mark P Kust
More information4 Differential Equations
Advanced Calculus Chapter 4 Differential Equations 65 4 Differential Equations 4.1 Terminology Let U R n, and let y : U R. A differential equation in y is an equation involving y and its (partial) derivatives.
More informationChapter 2 Formulas and Definitions:
Chapter 2 Formulas and Definitions: (from 2.1) Definition of Polynomial Function: Let n be a nonnegative integer and let a n,a n 1,...,a 2,a 1,a 0 be real numbers with a n 0. The function given by f (x)
More informationA NOTE ON RATIONAL OPERATOR MONOTONE FUNCTIONS. Masaru Nagisa. Received May 19, 2014 ; revised April 10, (Ax, x) 0 for all x C n.
Scientiae Mathematicae Japonicae Online, e-014, 145 15 145 A NOTE ON RATIONAL OPERATOR MONOTONE FUNCTIONS Masaru Nagisa Received May 19, 014 ; revised April 10, 014 Abstract. Let f be oeprator monotone
More informationInfinite Series. 1 Introduction. 2 General discussion on convergence
Infinite Series 1 Introduction I will only cover a few topics in this lecture, choosing to discuss those which I have used over the years. The text covers substantially more material and is available for
More informationMATH1231 CALCULUS. Session II Dr John Roberts (based on notes of A./Prof. Bruce Henry) Red Center Room 3065
MATH1231 CALCULUS Session II 2007. Dr John Roberts (based on notes of A./Prof. Bruce Henry) Red Center Room 3065 Jag.Roberts@unsw.edu.au MATH1231 CALCULUS p.1/66 Overview Systematic Integration Techniques
More informationOn rational approximation of algebraic functions. Julius Borcea. Rikard Bøgvad & Boris Shapiro
On rational approximation of algebraic functions http://arxiv.org/abs/math.ca/0409353 Julius Borcea joint work with Rikard Bøgvad & Boris Shapiro 1. Padé approximation: short overview 2. A scheme of rational
More informationSeries solutions to a second order linear differential equation with regular singular points
Physics 6C Fall 0 Series solutions to a second order linear differential equation with regular singular points Consider the second-order linear differential equation, d y dx + p(x) dy x dx + q(x) y = 0,
More informationSome bounds for the logarithmic function
Some bounds for the logarithmic function Flemming Topsøe University of Copenhagen topsoe@math.ku.dk Abstract Bounds for the logarithmic function are studied. In particular, we establish bounds with rational
More informationTranscendental Numbers and Hopf Algebras
Transcendental Numbers and Hopf Algebras Michel Waldschmidt Deutsch-Französischer Diskurs, Saarland University, July 4, 2003 1 Algebraic groups (commutative, linear, over Q) Exponential polynomials Transcendence
More informationLINEAR SYSTEMS AND MATRICES
CHAPTER 3 LINEAR SYSTEMS AND MATRICES SECTION 3. INTRODUCTION TO LINEAR SYSTEMS This initial section takes account of the fact that some students remember only hazily the method of elimination for and
More informationCONSTRUCTING SOLUTIONS TO THE ULTRA-DISCRETE PAINLEVE EQUATIONS
CONSTRUCTING SOLUTIONS TO THE ULTRA-DISCRETE PAINLEVE EQUATIONS D. Takahashi Department of Applied Mathematics and Informatics Ryukoku University Seta, Ohtsu 50-1, Japan T. Tokihiro Department of Mathematical
More informationFurther Mathematics SAMPLE. Marking Scheme
Further Mathematics SAMPLE Marking Scheme This marking scheme has been prepared as a guide only to markers. This is not a set of model answers, or the exclusive answers to the questions, and there will
More informationChemistry 532 Problem Set 7 Spring 2012 Solutions
Chemistry 53 Problem Set 7 Spring 01 Solutions 1. The study of the time-independent Schrödinger equation for a one-dimensional particle subject to the potential function leads to the differential equation
More information7.5 Partial Fractions and Integration
650 CHPTER 7. DVNCED INTEGRTION TECHNIQUES 7.5 Partial Fractions and Integration In this section we are interested in techniques for computing integrals of the form P(x) dx, (7.49) Q(x) where P(x) and
More informationLinear Algebra: Matrix Eigenvalue Problems
CHAPTER8 Linear Algebra: Matrix Eigenvalue Problems Chapter 8 p1 A matrix eigenvalue problem considers the vector equation (1) Ax = λx. 8.0 Linear Algebra: Matrix Eigenvalue Problems Here A is a given
More informationLECTURE NOTES ELEMENTARY NUMERICAL METHODS. Eusebius Doedel
LECTURE NOTES on ELEMENTARY NUMERICAL METHODS Eusebius Doedel TABLE OF CONTENTS Vector and Matrix Norms 1 Banach Lemma 20 The Numerical Solution of Linear Systems 25 Gauss Elimination 25 Operation Count
More informationZeta function: August 19, 2008
Zeros and poles of Padé approximants to the symmetric Zeta function Greg Fee Peter Borwein August 19, 2008 Abstract We compute Padé approximants to Riemann s symmetric Zeta function. Next we calculate
More information