ON A SEQUENCE OF TRIDIAGONAL MATRICES WHOSE ...

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The Fibonacci sequence (or sequence of the Fibonacci numbers) (Fn)n≥0 is the sequence of non-negative integers satisfying the recurrence Fn+2 = Fn+1 +.
International Journal of Pure and Applied Mathematics Volume 102 No. 3 2015, 527-532 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu doi: http://dx.doi.org/10.12732/ijpam.v102i3.10

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ON A SEQUENCE OF TRIDIAGONAL MATRICES WHOSE DETERMINANTS ARE FIBONACCI NUMBERS Fn+1 Pavel Trojovsk´ y Department of Mathematics Faculty of Science University of Hradec Kr´alov´e Rokitansk´eho 62 50003 Hradec Kr´ alov´e, CZECH REPUBLIC

Abstract: In this paper, we generalize two previous individual results on connection special tridiagonal matrices to Fibonacci numbers, as we found a sequence of tridiagonal matrices which are equal to Fibonacci numbers. AMS Subject Classification: 11C20, 65F40, 15A15 Key Words: Fibonacci number, tridiagonal matrix, determinant, recurrence

1. Introduction The Fibonacci sequence (or sequence of the Fibonacci numbers) (Fn )n≥0 is the sequence of non-negative integers satisfying the recurrence Fn+2 = Fn+1 + Fn with the initial conditions F0 = 0 and F1 = 1. The Fibonacci sequence has many surprising properties (see e. g. [5]), but this paper deals with its connections to determinants of matrices only. Strang [10] include, probably the first example of determinant of n × n matrix, which is equal to the Fibonacci number, as he showed that the following holds Received:

April 3, 2015

c 2015 Academic Publications, Ltd.

url: www.acadpubl.eu

528

P. Trojovsk´ y



     det      

1 −1 0 · · · 0 1 1 −1 0 · · · 0 1 1 −1 0 .. .. . . 0 1 1 .. .. .. .. . . . 0 . 0 0 ··· 0 1 0 0 0 ··· 0

0 0 ··· .. .

0 0 0 .. .



      = Fn+1   −1 0   1 −1  1 1

(1)

for any n ≥ 1. Cahill et al. [1] showed that the following holds 

     det      

1

i

0

i

1

i

··· .. . .. . .. .

··· .. . .. .

0 .. . .. .



      = Fn+1  0    i  1

0 i 1 (2) .. . . .. . . i . .. . . .. . . i 1 . 0 ··· ··· 0 i √ for any n ≥ 1 (where i = −1). Matrices in (1) and (2) are the special cases of a tridiagonal matrix, what is a square matrix A = (ajk ) of the order n, with entries ajk = 0 for |k − j| > 1 and 1 ≤ j, k ≤ n, i. e. 

a1,1 a1,2

0

··· .. . .. . .. .

0 .. .

  a2,1 a2,2 a2,3   A(n) =  0 a3,2 a3,3 0   .. .. ..  . . . an−1,n 0 ··· 0 an,n−1 an,n



     .   

Many authors derived the similar types of matrices which determinants are related to Fibonacci numbers or different kinds of their generalizations, e. g. k-generalized Fibonacci numbers, see [2], [4], [7], [6], [3], [8], [9] and [11]. Now we turn our attention to the relation of determinants of special tridiagonal matrices with Fibonacci numbers. We show that matrix in (1) can be easily changed into a matrix, whose determinant is equal to Fibonacci numbers too.

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2. Preliminary Results Cahill et al. [1] proved the following lemma, which can be easily used for finding the recurrence relation for determinants of a sequence of tridiagonal matrices. Lemma 1. (Lemma 1 of [1]) Let {H(n), n = 1, 2, . . . } be a sequence of tridiagonal matrices of the form



h1,1 h1,2

0

··· .. . .. . .. .

0 .. .

  h2,1 h2,2 h2,3   H(n) =  0 h3,2 h3,3 0   .. .. ..  . . . hn−1,n 0 ··· 0 hn,n−1 hn,n



     .   

Then the successive determinants of H(n) are given by recursive formula

det H(1) = h1,1 ;

(3)

det H(2) = h1,1 h2,2 − h1,2 h2,1 ;

det H(n) = hn,n det H(n − 1) − hn−1,n hn,n−1 det H(n − 2).

3. Main Results We formulate theorem which generalize identities (1) and (2). Theorem 2. Let (εn )n≥0 , (δn )n≥0 be any sequences of complex numbers, with property εk δk = −1 for any k, 1 ≤ k ≤ n. Let {B(n), n = 1, 2, 3, . . . } be a sequence of tridiagonal matrices in the form

bjk

 1, j=k;    εj , k = j + 1 ; = δ , k = j − 1;    j 0, otherwise

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P. Trojovsk´ y



     B(n) =      

1

ε1

0

δ1

1

ε2

0 .. . .. . 0

δ2 .. . .. . ···

1 .. . .. . ···

··· .. . .. . .. . δ1 0

··· .. . .. .

0 .. . .. .

ε1

0

1 εn−1 δn−1 1



     .     

Then det B(n) = Fn+1 . Proof. We use the mathematical induction on n. The assertion holds for n = 1 and n = 2 as

det B(1) = 1 = F2 ,   1 ε1 det B(2) = det = 1 − ε1 δ1 = 2 = F3 . δ1 1 Suppose that the assertion holds for every k, 3 ≤ k ≤ n. Then we have to show that the assertion is true for n + 1. We use recurrence (3) det B(n + 1) = bn+1,n+1 det B(n) − bn,n+1 bn+1,n det B(n − 1) = 1 · det B(n) − εn−1 δn−1 det B(n − 1)

= det B(n) + det B(n − 1) = Fn+1 + Fn = Fn+2 .

Corollary 3. Setting εk = −1, δk = 1 and εk = δk = i = 2, for 1 ≤ k ≤ n, we directly obtain (1) and (2) respectively.



−1 in Theorem

Similarly we can obtain infinitely many interesting n−square matrices, whose determinants are equal to the Fibonacci number Fn+1 , using Theorem 2, but there are integer matrices of this type only for entries εk = ±1, δk = − εk , where 1 ≤ k ≤ n. For example, we obtain the following sequence of integer matrices.

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Corollary 4. Let {C(n) = (cjk )1≤j,k≤n , n = 1, 2, 3, . . . } be a sequence of tridiagonal matrices in the form  j = k;  1, cjk = (−1)j , j = k ± 1;  0, otherwise, i. e.



       C(n) =       

1 −1

0

···

1

1

0

1

0 .. . .. . .. .

··· .. . .. . .. .

0 .. . .. . .. .

0 −1 1 −1 .. . . . . . . . . . . .. .. . . 1 (−1)n−2 0 0 .. .. n−1 . (−1) 1 (−1)n−1 . 0 ··· 0 ··· 0 (−1)n 1



        .      

Then det C(n) = Fn+1 .

(4)

Acknowledgements The author thanks to Specific research PˇrFUHK2015 for financial support.

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[5] T. Koshy, Fibonacci and Lucas numbers with applications, John Wiley & Sons, 2011. [6] G. Y. Lee, S. G. Lee, A note on generalized Fibonacci numbers, Fib. Quart., 33, No. 3 (1995), 273–278. [7] G. Y. Lee, J. S. Kim, The linear algebra of the k-Fibonacci matrix, Linear Algebra Appl. 373 (2003), 75–87. [8] A. Nalli, H. Civciv, A generalization of tridiagonal matrix determinants, Fibonacci and Lucas numbers, Chaos Solitons Fractals 40, No. 1 (2009), 355–361. ˝ [9] A. A. Ocal, N. Tuglu, and E. Altini¸sik, On the representation of kgeneralized Fibonacci and Lucas numbers, Appl. Math. Comput. 170 (2005), 584–596. [10] G. Strang, Linear algebra and its applications, Brooks/Cole, 3rd edition, 1988. [11] F. Yılmaz, T. Sogabe, A note on symetric k-tridiagonal matrix family and the Fibonacci numbers, Int. J. Pure and Appl. Math., 96, No. 2 (2014), 289–298.