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Some Double binomial sums related to Fibonacci, Pell and generalized order-k Fibonacci numbers

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SOME DOUBLE BINOMIAL SUMS RELATED WITH THE FIBONACCI, PELL AND GENERALIZED

ORDER-k FIBONACCI NUMBERS

EMRAH KILIC¸ AND HELMUT PRODINGER

ABSTRACT. We consider some double binomial sums re-lated to the Fibonacci and Pell numbers and a multiple bino-mial sum related to the generalized order-k Fibonacci num-bers. The Lagrange-B¨urmann formula and other well-known techniques are used to prove them.

1. Introduction. The generating function of the Fibonacci numbers

Fn is



n=0

Fnxn= 1− x − xx 2.

Similarly, the generating function of the Pell numbers Pn is



n=0

Pnxn= 1− 2x − xx 2.

The generalized order-k Fibonacci numbers fn(k) are defined by

fn(k)= k



i=1

fn−i(k) for n > k,

with initial conditions fj(k)= 2j−1 for 1≤ j ≤ k.

For example, when k = 3, the generalized Fibonacci numbers fn(3)are reduced to the Tribonacci numbers Tn defined by

2010 AMS Mathematics subject classification. Primary 05C38, 15A15, Sec-ondary 05A15, 15A18.

Keywords and phrases. Fibonacci numbers, generating functions, Lagrange-B¨urmann formula.

Received by the editors on April 13, 2010, and in revised form on October 29, 2010.

DOI:10.1216/RMJ-2013-43-3-975 Copyright c2013 Rocky Mountain Mathematics Consortium

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Tn= Tn−1+ Tn−2+ Tn−3,

with T1= 1, T2= 2 and T3= 4, for n > 3.

For these number sequences, we recall the combinatorial representa-tions due to [2, 3, 5]: n  i=1  n − i i − 1  = Fn, (1.1) (n−1)/2 i=0  n 2i + 1  2i= Pn, (1.2)  0≤1 j≤n  n − i j  n − j i  = F2n+3. (1.3)

Among the formulas (1.1) (1.3), the last formula seems to be different from the first above since it includes double sums, see [2]. The authors of the above-cited papers use a combinatorial approach to prove these results. For many similar identities, we refer to [6].

In this paper, we shall derive some new double binomial sums related with the Fibonacci, Pell and generalized order-k Fibonacci numbers and then use the Lagrange-B¨urmann formula and other well-known techniques to prove them.

The Lagrange-B¨urmann formula is a very useful tool if one knows a series expansion for y(x) but would like to obtain the series for x in terms of y. We recall the formula (for details, see [1, 4]): Suppose a series for y in powers of x is required when y = xΦ(y). Assume that Φ is analytic in a neighborhood of y = 0 with Φ(0) = 0. Then

x = y/Φ(y) =



n=1

anyn, a1= 0.

Then the two (equivalent) versions of the Lagrange(-B¨urmann) inver-sion formula can be written as

F (y) = F (0) +  n=1 xn n!  dn−1 dyn−1  F(y)Φn(y) x=0

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or F (y) 1− xΦ(y) =  n=0 xn n!  dn dyn  F (y)Φn(y) x=0.

We would like to rephrase this using the notation of the “coefficient-of” operator: F (y) 1− xΦ(y) =  n=0 [yn]F (y)Φn(y)· xn; we will use it in this form.

2. Double binomial sums. We start with a result related to Fibonacci numbers: Theorem 1. For n > 0, F4n−1=  0≤i,j≤n  n + i 2j  n + j 2i  .

Proof. We start from

[y2j](1 + y)n+i=  n + i 2j  and compute S = n  i=0 (1 + y)n+i  n + j 2i  = i≥0 (1 + y)n+i/2  n + j i  1 + (−1)i 2 =  1 +1 + y j+n + 11 + y j+n(1 + y)n 2 ; here the desired sum takes the form:

n  j=0 [y2j]  1 +1 + y j+n + 11 + y j+n(1 + y)n 2

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= j≥0 [y2j] 1 +1 + y j+n (1 + y)n 2 + j≥0 [y2j] 11 + y j+n(1 + y)n 2 = j≥0 [yj] 1 +1 + y j/2+n (1 + y)n 2 1 + (−1)j 2 + j≥0 [y2j] 11 + y j+n(1 + y)n 2 . Let us consider the first sum:

 j≥0 [yj] 1 +1 + y j/2+n (1 + y)n.

This is of the form 

j≥0 [yj]F (y)Φ(y)j with F (y) = 1 +1 + y n (1 + y)n and Φ(y) = 1 +1 + y. The Lagrange-B¨urmann formula can now be applied to this sum. The general formula is given by:



j≥0

[yj]F (y)Φ(y)j· xj = F (y) 1− xΦ(y).

We need the instance x = 1 here, and the variables x and y are linked via y = xΦ(y). Notice that Φ(y) must be a power series in y with a constant term different from zero. Therefore, by the solution of

y = Φ(y), we find y = α = (1 +√5)/2, and so y = 1 + 5 2 , F (α) =  7 + 35 2 n , Φ(α) = 3 5 8 , 1 1− Φ(α) = 2  1−√1 5  .

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So our evaluation is 2  1−√1 5  7 + 35 2 n .

The second term is  j≥0 [yj] 1 +1 + y j/2+n (1 + y)n(−1)j.

This is the instance x = −1, which translates to y = −1, and so the second term is

F (−1)

1 + Φ(−1) = 0. The last sum is

 j≥0 [y2j] 11 + y j+n (1 + y)n = j≥0 [y2j]yj+n  1−√1 + y y j+n (1 + y)n = j≥0 [yj]yn  1−√1 + y y j+n (1 + y)n.

This is again of the form  j≥0 [yj]F (y)Φ(y)j with F (y) = 11 + y n (1 + y)n and Φ(y) = 1 1 + y y .

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We need the instance x = 1 here, and the link is y = x  1−√1 + y y  .

By the solution of the last equation, we find y = β where β = (1−√5)/2, and so we write y = β =1 5 2 , F (β) =  7− 3√5 2 n and 1 1− Φ(α) = 1 + 1 5. So our evaluation is  1 +1 5  7− 3√5 2 n . Altogether,  1−√1 5  7 + 35 2 n +  1 +1 5  7− 3√5 2 n1 2 = α 4n−1− β4n−1 5 = F4n−1, as desired. Theorem 2. For n > 0, F4n+1 =  1≤i,j≤n+1  n + i 2j − 1  n + j 2i − 1  . Proof. Since y2j−1(1 + y)n+i=  n + i 2j − 1 

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and S = n+1  i=1 (1 + y)n+i  n + j 2i − 1  = i≥0 (1 + y)n+(i+1)/2  n + j i  1− (−1)i 2 =  1 +1 + y j+n 11 + y j+n(1 + y)n+1/2 2 ;

here the desired sum takes the form:

n+1  j=1 [y2j−1]  1 +1 + y j+n 11 + y j+n(1 + y)n+1/2 2 = j≥1 [y2j−1] 1 +1 + y j+n(1 + y)n+1/2 2  j≥1 [y2j−1] 11 + y j+n(1 + y)n+1/2 2 = j≥0 [yj]  1 +1 + y j/2+n+1/2(1 + y)n+1/2 2 1− (−1)j 2  j≥1 [y2j−1] 11 + y j+n(1 + y)n+1/2 2 .

Let us start with one term in the above sum:  j≥0 [yj] 1 +1 + y j/2+n+1/2 (1 + y)n+1/2.

This is of the form: 

j≥0 [yj]F (y)Φ(y)j, with F (y) = 1 +1 + y n+1/2 (1 + y)n+1/2

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and

Φ(y) =

1 +1 + y.

This is the instance x = 1, which, by α = (1 +√5)/2, translates to

y = 1 + 5 2 , F (α) = α 4n+2 and Φ(α) = 3 5 8 , 1 1− Φ(α) = 2  1−√1 5  .

So our evaluation is: 2  1−√1 5  α4n+2.

The second term is:  j≥0 [yj] 1 +1 + y j/2+n+1/2 (1 + y)n+1/2(−1)j.

This is the instance x = −1, which translates to y = −1 and so the second term is:

F (−1)

1 + Φ(−1) = 0. Finally the last term is of the form:

 j≥1 [y2j−1] 11 + y j+n (1 + y)n+1/2 = j≥1 [y2j−1]yj+n  1−√1 + y y j+n (1 + y)n+1/2 = j≥0 [yj]yn+1  1−√1 + y y j+n (1 + y)n+1/2.

This is of the form: 

j≥0

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with F (y) = 11 + y n (1 + y)n+12y and Φ(y) = 1 1 + y y .

This is the instance x = 1, which translates to y = β = (1 −√5)/2. Thus, F (β) = −β4n+2, Φ(β) = −1 5 4 , F (β) 1− Φ(β) =  1 + 1 5  β4n+2.

So our evaluation is:  1−√1 5  α4n+2+  1 + 1 5  β4n+2  1 2 = F4n+1, as claimed. Theorem 3. For n > 0, F4n= n  i=0 n  j=0  n + i 2j − 1  n + j 2i  , F4n−3= n  i=0 n  j=0  n + i 2j + 1  n + j 2i + 1  .

Again by using the Lagrange-B¨urmann formula, Theorem 3 can be similarly proved.

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Theorem 4. For n > 0, F2n+2+ Fn+1 2 =  0≤i,j≤n  n − i 2j  n − 2j i  .

Proof. First, we replace i by n − i and get

 0≤2j≤i≤n  i 2j  n − 2j i − 2j  .

Now we compute the generating function of it:  n≥0 zn  0≤2j≤i≤n  i 2j  n − 2j i − 2j  =  0≤2j≤i  i 2j  zi (1− z)i+1−2j = j≥0 z2j(1− z)2j (1− 2z)1+2j = 1− 2z (1− z − z2)(1− 3z + z2) = 1 2 1 1− z − z2 + 1 2 1 1− 3z − z2,

which is the generating function of the numbers (F2n+2+ Fn+1)/2. The following results are similar:

Theorem 5. For n > 0, F2n = n  i=1 n  j=1  n − i j − 1  n − j i − 1  , F2n−1=  0≤j≤i≤n  n i − j  n − i j  . Theorem 6. For n > 0, (2.1) F2n+ 1 = n  i=0 F2i−1=  0≤i≤j≤n  n − i j  j 2i  .

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Proof. Multiplying the right hand side of (2.1) by zn and summing over n, we get S = n≥0 zn  0≤i≤j≤n  n − i j  j 2i  =  0≤i≤j  h≥0 zh+i+j  h + j j  j 2i  =  0≤i≤j  j 2i  zi+j h≥0 zh  h + j j  =  0≤2i≤j  j 2i  zi+j(1− z)1 j+1 = i≥0 z3i (1− 2z)2i+1 = 1− 2z (1− z)(1 − 3z + z2) = z 1− 3z + z2 + 1 1− z,

which is the generating function of the numbers F2n+ 1.

For the Pell numbers, we give the following result:

Theorem 7. For n ≥ 0, (2.2) Pn+1=  0≤i≤j≤n  n − i j  j i  .

Proof. Multiplying the right hand side of (2.2) by zn and summing over n, we get S = n≥0 zn  0≤i≤j≤n  n − i j  j i  =  0≤i≤j  h≥0 zh+i+j  h + j j  j i 

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=  0≤i≤j  j i  zi+j h≥0 zh  h + j j  =  0≤i≤j  j i  zi+j 1 (1− z)j+1 =  0≤i≤j zj (1− z)j+1  j i  zi= j≥0 zj (1− z)j+1(1 + z) j = 1 1− z 1 1− z(1 + z)/(1 − z)= 1 1− 2z − z2. This is the generating function of the numbers Pn+1.

Now we give a double sum for the Tribonacci numbers: Theorem 8. For n ≥ 0, Tn=  0≤j≤i≤n  n − i i − j  i − j j  . Proof. Consider  n≥0 Tnzn=  0≤j≤i≤n zn  n − i i − j  i − j j  =  0≤j≤i zi  i − j j   h≥0 zh  h i − j  =  0≤j≤i zi  i − j j  zi−j (1− z)i−j+1 = j≥0  h≥0 zh+j  h j  zh (1− z)h+1. Let t = z2/(1 − z), and we continue with

 n≥0 Tnzn= 1− z1  0≤j zj h≥0  h j  th= 1 1− z  0≤j zj t j (1− t)j+1

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= 1 1− z 1 1− t 1 1− zt/(1 − t) = 1 1− z 1 1− t − zt = 1 1− z 1 1− z2/(1 − z) − z3/(1 − z) = 1 1− z − z2− z3, which is the generating function of the Tribonacci numbers, as ex-pected. So the proof is complete.

By using the same proof method as in Theorem 8, we get a more general result: Theorem 9. For n > 0, fn(k)=  0≤ik≤···≤i1≤n  n − i1 i1− i2  i1− i2 i2− i3  · · ·  ik−1− ik ik  ,

where fn(k) is the nth generalized order-k Fibonacci number.

REFERENCES

1. G.E. Andrews, R. Askey and R. Roy, Special functions, Ency. Math. Appl. 71,

Cambridge University Press, Cambridge, 1999.

2. A.T. Benjamin and J.J. Quinn, Proofs that really count, Mathematical

Asso-ciation of America, Washington, DC, 2003.

3. J. Ercolano, Matrix generator of Pell sequence, Fibon. Quart. 17 (1979), 71 77. 4. P. Henrici, Applied and computational complex analysis, Vol. 1, John Wiley &

Sons, Inc., New York, 1988.

5. A.F. Horadam, Pell identities, Fibon. Quart. 9 (1971), 245 252, 263. 6. R. Knott, Fibonacci and golden ratio formulae, http://www.maths.surrey.ac.

uk/hostedsites/R.Knott/Fibonacci/.

7. J. Riordan, Combinatorial identities, John Wiley & Sons, Inc., New York,

1968.

TOBB University of Economics and Technology, Mathematics Depart-ment, 06560 Ankara, Turkey

Email address: ekilic@etu.edu.tr

Department of Mathematics, University of Stellenbosch 7602, Stellen-bosch, South Africa

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