L U C A S SEQUENCES AND FUNCTIONS O F A 3-BY-3 M A T R I X

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L U C A S SEQUENCES AND FUNCTIONS O F A 3-BY-3 M A T R I X R. S. Melham School of Mathematical Sciences, University of Technology, Sydney PO Box 123, Broadway, NSW 2007 Australia {SubmittedMay 1997-Final Revision July 1997) 1. INTRODUCTION Define the sequences {[/ } and {V n } for all integers n by {U^pU^-qU^ tf 0 = 0, ^ = 1, K =? _,-qv n _ 2, V Q = 2, V^p, where/? and q are real numbers with q(p 2-4q) ^ 0. These sequences were studied originally by Lucas [9], and have subsequently been the subject of much attention. The Binet forms for U and V are where u a"- a -h 2 - -P" -P and V = a"+p", p* -4q a = " ' ^ "* and p = EzJZIR 2 ^ 2 are the roots, assumed distinct, of x 2 - px + q = 0. We assume further that a IJ3 is not an rfl* root of unity for any??. Write A = (a-fi) 2 = p 2-4q. A well-known relationship between U n and V is V^U^-qU^, (1.2) which we use subsequently. Barakat [2] considered the matrix exponential, exp(x), for the 2-by-2 matrix ( L 1 ) \a 2l a 22 where he took trace(x) = p and det(x) = q. In so doing, he established various infinite sums involving terms from {U } and {F }. Following Barakat, Walton [13] evaluated the series for the sine and cosine functions at the matrix X and obtained further infinite sums involving terms from {U n } and {V n }. Extensions of these ideas to higher-order recurrences have been given by Shannon and Horadam [12] and Pethe [11]. Recently, many papers have appeared which have followed the theme of these writers. See, for example, Brugia and Filipponi [5], Filipponi and Horadam [6], Horadam and Filipponi [8], and Melham and Shannon [10]. In this paper we apply the techniques of the above writers to a 3-by-3 matrix to obtain new infinite sums involving squares of terms from the sequences {[/ } and {V n }. 1999] H I

Berzsenyi [4] has shown that the matrix is such that, for nonnegative integers n, R" = ( q 2 uu The characteristic equation of R is 2. THE MATRIX K %x (o o R. 0 q -2pq (2.1) 1 P P 2, q 2 u ^u n a 2 u 2 1-2qU^U -qiul + U^U^) -2qU U n+l u u n+1 u 2 +1 (2.2) A 3 + (q - p 2 )X 2 + q(p 2 - q)x - q 3 = 0. (2.3) Since p = a+fl and q = a/3, it is readily verified that a 2,/? 2, and afi are the eigenvalues of R. These eigenvalues are nonzero and distinct because of our assumptions in Section 1. Associated with R, we define the matrix R k x by R kx = xr k =x ( fulx 1 2 V k -P k q 2 U 2 k ^ -2qU k _ { U k -q(u 2 k + U k _jj\ +l ) -2qU k U k+l U 2 U k U k+1 U 2 k+l (2.4) where x is an arbitrary real number and k is a nonnegative integer. From the definition of an eigenvalue, it follows immediately that xa 2k, xj3 2k, and xq k are the eigenvalues of R k x. Again, they are nonzero and distinct. 3. THE M A M RESULTS Suppose f(z) = Z^Lo n z n is a power series whose domain of convergence includes xa 2k, xfi 2k, and xq k. Then we have, from (2.4), f(r k, x ) = f j a n Rl x = Y d a x"r k " w=0 n=0 «=0 «=0 «=0 oo oo oo -2q% <* x n U kn^kn -? a x"{u 2 kn + U kn^u kn+l ) -2q a n x"u k U, \n=0 «=0 OO w=0 n=0 On the other hand, from the theory of matrices ([3] and [7]), it is known that f(r k, x ) = cj+c l R k, x +c 2^x, OO J 2 *kn kn+\ (3.1) (3.2) 112 [MAY

where / is the 3-by-3 identity matrix, and where c 0,c u and c 2 can be obtained by solving the system [c 0 + c l xa 2k + c 2 x 2 a Ak = f(xa 2k ), I c 0 + c x xp 2k + c 2 x 2 p* k = f(x/3 2k ), \c 0 + Clxa k p k +c 2 x 2 a 2k p 2k = f(xa k p k ). If we use Cramer's rule and observe, using the Binet form for U, that we obtain (a 2k -p 2k )(J3 2k -a k p k )(a k p k -a 2k ) = q k U 2k U 2 k(a-pf, = f(xa 2k )q k p ik (a k -p k ) + f(xp lk )q k a ik (a k - p k ) + f(xq k )q Zk (fl 2k -a Ik ) q k U 2k U 2 k(a-pf = f(xa 2k )p 2k (ft 2k -a 2k ) + f(xp 2k )a 2k (p 2k -a 2k ) + f(xq k )(a 4k - f? k ) xq k U lk U 2 {a-pf = f(xa 2k )p k (a k -p k ) + f(xp 2k )a k (a k - p k ) +f(xg k )(fi 2k -a 2k ) x 2 q k U 2k U 2 k(a-pf Now, equating lower left entries In (3.1) and (3.2), we obtain CO X a n X " U l = C l xu k + C 2 X 2 U\ k. «=0 With the values of q and c 2 obtained above, the right side of (3.3) is (3.3) f(xa 2k )(p 2k (p 2k -a 2k )U 2 +p k (a k -p k )U 2 k) q k U 2k U 2 (a-pf + f(xp2k )(a 2k (p 2k -a 2k )U 2 + a k (a k -p k )U 2 k) q k U 2k U 2 (a-pf f(xg k )((a 4k -p* k )U 2 + (fi 2k - a 2k )U 2 2k) q k U 2k U 2 (a-pf If we note that U 2k = U k V k and use Binet forms, we obtain finally y ynu2 _f(xa 2k ) + f(xp 2k )-2f(xq k ) J kn «=0 In precisely the same manner, we equate appropriate entries in (3.1) and (3.2) to obtain ^ 2 _a*f(xa») + JPf(x/P*)-2qf(xq*) 2_,a x u kn+l - T n=0 m j a n X U k JJ kn _i - w=0 a- l f(xa 2k ) + p- l f(xp 2k ) - y{xq k ) (3.4) (3.5) (3.6) 1999] 113

f a xnrr rj _ qfixa^)+pf{x^k)-pf(xq k ) ZJ a n X U kn U kn+l ~ 7 > V J ') A f f l I» r / 2-0V( 2k ) + <*f(x0»>) - 2qf(xq k ) n=0 # A 2/(xa 2t )+2/(*/3 a *)-4/(V) Ia x"(c/^ + f/ te _ 1 C/ fa+1 ) = «" * '. (3.9) A n=0 From (3.4) and (3.9), we obtain Finally, from (1.2), we have I ^ t V ^ + i = T - ^ (3-10) This, together with (3.5), (3.8), and (3.10), yields t"yc=f( 2k )+f(xfi 2k ) + 2f(xq k ). (3.11) In contrast to our approach, Brugia and Filipponi [5] used the Kronecker square of a 2-by-2 matrix to obtain similar sums for the Fibonacci numbers. For the function/they took the exponential function, and remarked that analogous results could be obtained by using the circular and hyperbolic functions. Identities (3.4), (3.5), (3.8), (3.10), and (3.11), respectively, generalize identities (12)-(16) of [5]. 4. APPLICATIONS We now specialize (3.4) and (3.11) to the Chebyshev polynomials to obtain some attractive sums involving the squares of the sine and cosine functions. Let {T n (t)} =0 and {S n (t)}^=0 denote the Chebyshev polynomials of the first and second kinds, respectively. Then Y r r t =siii7!g] " w sing I t = cos0,n>o. T n {t) = come] Indeed, {S n (t)} =0 and {23^(/)}^s0 are the sequences {U n } =0 and {V n } =0, respectively, generated by (1.1), where p = 2 cos0 and q = 1. Thus, a = e lb and ji = e~*, which are obtained by solving x 2-2cos#x + l = 0. Further information about the Chebyshev polynomials can be found, for example, in [1]. We use the following well-known power series, each of which has the complex plane as its domain of convergence:,_ v ( - i ) -"Scsfjjr- n z Jln+\ < 4» 114 [MAY

c o s ^ I ^ r, (4.2) n- r 0 (2«)i ' «> 2«+l -^ z 2 " cosh z = V >..,. (4.4) Now, in (3.4), taking U n = sinw0/sin0 and replacing/by the functions in (4.1)-(4.4), we obtain, after replacing all occurrences of kd by $, yn (-l)"x 2w+1 sin 2 (2n +1)^ _ sin x - shipcos2^) cosh(x sin 2ft) (. i (2* + l)! ~ 2 ' < 4^ yi (-l)"x 2w sin 2 2??^ _ cosx - cos(x cos2^) cosh(x sin 2ft) h ( 2 ")!." 00 Jln+\ - 2 2 (4.6) V y s * n (2w + l)^ _ sinh x - sinh(x cos2^) cos(x sin 2^),., 0 (2» + l)! " 2 ' \ > V y2w s ^ 2 2 n $ _ cosh x - cosh(x cos2^) cos(x sin 2ft),. ~. h ( 2 ")! 2 ' Finally, in (3.11), taking V n = 2cosn$ and replacing/by the functions in (4.1)-(4.4), we obtain, respectively, y. (-l) n x 2n+l cos 2 (2y?4-1)^ _ sin x + sin(x cos2^) cosh(x sin2ft) (. g, V (~l) W]c2;lcos2 2^ _ cosx + cos(x cos2^) cosh(x sin 2ft),. - Q. = & W 2 ' { - > V x 2w+1 cos 2 (2^1 + 1)^ _ sinh x + sinh(x cos2^) cos(x sin 2<f>) = & (2^X)\ M m 2 \. V- > ^ x 2 "cos 2 2M^ _ coshx + cosh(xcos2^)cos(xsin2ft) = to <2*)l 2 (A\n\ ( 4 1 2 ) REFERENCES 1. M. Abramowitz & I. A. Stegun. Handbook of Mathematical Functions. New York: Dover, 1972. 2. R. Bairakat. "The Matrix Operator e x and the Lucas Polynomials." Journal of Mathematics and Physics 43 (1964):332-35. 3. R. Bellman. Introduction to Matrix Analysis. New York: McGraw-Hill, 1970. 4. G. Berzsenyi. Solution to Problem H-274. The Fibonacci Quarterly 17.1 (1979):95. 1999] 115

5. O. Brugia & P. Filipponi. "Functions of the Kronecker Square of the Matrix Q" In Applications of Fibonacci Numbers 2:69-76. Ed. A. N. Philippou et al. Dordrecht: Kluwer, 1988. 6. P. Filipponi & A. F. Horadam. "A Matrix Approach to Certain Identities." The Fibonacci Quarterly 26.2 (1988): 115-26. 7. F. R. Gantmacher. The Theory of Matrices. New York: Chelsea, 1960. 8. A. F. Horadam & P. Filipponi. "Cholesky Algorithm Matrices of Fibonacci Type and Properties of Generalized Sequences." The Fibonacci Quarterly 29.2 (1991):164-73. 9. E. Lucas. "Theorie des Fonctions Numeriques Simplement Periodiques." American Journal of Mathematics 1 (1878): 184-240, 289-321. 10. R. S. Melham & A. G. Shannon. "Some Infinite Series Summations Using Power Series Evaluated at a Matrix." The Fibonacci Quarterly 33.1 (1995): 13-20. 11. S. Pethe. "On Sequences Having Third Order Recurrence Relations." In Fibonacci Numbers and Their Applications 1:185-92. Ed. A. N. Philippou et al. Dordrecht: Kluwer, 1986. 12. A. G. Shannon & A. F. Horadam. "Some Properties of Third-Order Recurrence Relations." The Fibonacci Quarterly 10.2 (1972): 13 5-45. 13. J. E. Walton. "Lucas Polynomials and Certain Circular Functions of Matrices." The Fibonacci Quarterly 14.1 (197 r 6):83-87. AMS Classification Numbers: 11B39, 15A36, 30B10 BOOK REVIEW Richard A. Dunlap, The Golden Ratio and Fibonacci Numbers (River Edge, NJ: World Scientific, 1997). This attractive and carefully written book addresses the general reader with interest in mathematics and its application to the physical and biological sciences. In addition, it provides supplementary reading for a lower division university course in number theory or geometry and introduces basic properties of the golden ratio and Fibonacci numbers for researchers working in fields where these numbers have found applications. An extensive collection of diagrams illustrate geometric problems in two and three dimensions, quasicrystallography, Penrose tiling, and biological applications. Appendices list the first 100 Fibonacci and Lucas numbers, a collection of equations involving the golden ratio and generalized Fibonacci numbers, and a diverse list of references. A new book on Fibonacci-related topics is published infrequently; this one will make a valuable addition to academic and personal libraries, and the many diagrams will knock your socks off. Reviewed by Marjorie Bicknell-Johnson 116 [MAY