CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

Similar documents
An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract

N! AND THE GAMMA FUNCTION

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

L-functions and Class Numbers

EVALUATION OF SUMS INVOLVING PRODUCTS OF GAUSSIAN q-binomial COEFFICIENTS WITH APPLICATIONS

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

Math 6710, Fall 2016 Final Exam Solutions

Fermat Numbers in Multinomial Coefficients

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

1 Notes on Little s Law (l = λw)

Extended Laguerre Polynomials

Comparison between Fourier and Corrected Fourier Series Methods

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Extremal graph theory II: K t and K t,t

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

LIMITS OF FUNCTIONS (I)

Lecture 9: Polynomial Approximations

Lecture 15 First Properties of the Brownian Motion

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

S n. = n. Sum of first n terms of an A. P is

Big O Notation for Time Complexity of Algorithms

K3 p K2 p Kp 0 p 2 p 3 p

Manipulations involving the signal amplitude (dependent variable).

Review Exercises for Chapter 9

Moment Generating Function

Section 8 Convolution and Deconvolution

SUMMATION OF INFINITE SERIES REVISITED

Online Supplement to Reactive Tabu Search in a Team-Learning Problem

12 Getting Started With Fourier Analysis

Sampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1

Solutions to Problems 3, Level 4

A note on deviation inequalities on {0, 1} n. by Julio Bernués*

F D D D D F. smoothed value of the data including Y t the most recent data.

STK4080/9080 Survival and event history analysis

The Connection between the Basel Problem and a Special Integral

Fresnel Dragging Explained

Actuarial Society of India

ECE-314 Fall 2012 Review Questions

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma

Research Article On a Class of q-bernoulli, q-euler, and q-genocchi Polynomials

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA

A Note on Prediction with Misspecified Models

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

Research Article A Generalized Nonlinear Sum-Difference Inequality of Product Form

A Study On (H, 1)(E, q) Product Summability Of Fourier Series And Its Conjugate Series

DETERMINATION OF PARTICULAR SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS BY DISCRETE DECONVOLUTION

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

AN EXTENSION OF LUCAS THEOREM. Hong Hu and Zhi-Wei Sun. (Communicated by David E. Rohrlich)

Pure Math 30: Explained!

EVALUATION OF SUMS INVOLVING GAUSSIAN q-binomial COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS

MATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b),

Enumeration of Sequences Constrained by the Ratio of Consecutive Parts

A Note on Random k-sat for Moderately Growing k

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

A NEW q-analogue FOR BERNOULLI NUMBERS

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap

SUPER LINEAR ALGEBRA

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

INVESTMENT PROJECT EFFICIENCY EVALUATION

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17

Available online at J. Math. Comput. Sci. 4 (2014), No. 4, ISSN:

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion

Notes 03 largely plagiarized by %khc

The Central Limit Theorem

The analysis of the method on the one variable function s limit Ke Wu

Math 2414 Homework Set 7 Solutions 10 Points

Some identities related to reciprocal functions

Dynamic h-index: the Hirsch index in function of time

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming*

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems

ON THE n-th ELEMENT OF A SET OF POSITIVE INTEGERS

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme

UNIT 1: ANALYTICAL METHODS FOR ENGINEERS

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION

Some inequalities for q-polygamma function and ζ q -Riemann zeta functions

Some Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction

Comparisons Between RV, ARV and WRV

Zhi-Wei Sun and Hao Pan (Nanjing)

14.02 Principles of Macroeconomics Fall 2005

FORBIDDING HAMILTON CYCLES IN UNIFORM HYPERGRAPHS

Procedia - Social and Behavioral Sciences 230 ( 2016 ) Joint Probability Distribution and the Minimum of a Set of Normalized Random Variables

TAKA KUSANO. laculty of Science Hrosh tlnlersty 1982) (n-l) + + Pn(t)x 0, (n-l) + + Pn(t)Y f(t,y), XR R are continuous functions.

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods"

Solutions to selected problems from the midterm exam Math 222 Winter 2015

BIBECHANA A Multidisciplinary Journal of Science, Technology and Mathematics

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM

arxiv: v1 [math.co] 30 May 2017

Electrical Engineering Department Network Lab.

B. Maddah INDE 504 Simulation 09/02/17

THE BERNOULLI NUMBERS. t k. = lim. = lim = 1, d t B 1 = lim. 1+e t te t = lim t 0 (e t 1) 2. = lim = 1 2.

CSE 241 Algorithms and Data Structures 10/14/2015. Skip Lists

On Another Type of Transform Called Rangaig Transform

Prakash Chandra Rautaray 1, Ellipse 2

Transcription:

PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach o compue cerai sums of suares Fiboomial coefficies wih powers of geeralized Fiboacci ad Lucas umbers as coefficies; he rage of he summaio is o he aural oe bu abou half of i The echiue is o rewrie everyhig i erms of a variable, ad he o use geeraig fucios ad Rohe s ideiy from classical -calculus Keywords: Gaussia -biomial coefficies, Fiboomial coefficies, -aalysis, sums ideiies 11B39, 05A30 1 Iroducio Defie he secod order liear seueces { } ad {V } for 2 by p 1 + 2, 0 0, 1 1, V pv 1 + V 2, V 0 2, V 1 p These recurrece relaios ca also be exeded i he bacward direcio Thus +2 p +1 1 +1, V V +2 pv +1 1 V For 1 ad a ieger m, defie he geeralized Fiboomial coefficie wih idices i a arihmeic progressio by { } m 2m m : ;m m 2m m m 2m m wih { 0 };m { } 1 ad 0 oherwise Whe p m 1, we obai he usual Fiboomial coefficies, deoed by { } ;m Whe m 1, we obai he geeralized Fiboomial F coefficies, deoed by { };1 We will freuely deoe { };1 by { } I his paper, we are ieresed i sums icludig he suare of Fiboomial coefficies of he form { 2 2 +} A addiioal challege is here ha he rage of summaio is o he full rage bu oly abou half of i, amely 0 We maily prese hree ses of ideiies which are expressed i he oio of { } 2 wih m 1, 2 More ;m imporaly, we describe a geeral mehodology how o evaluae hese sums, which will be applicable o may ohers as well Our approach is as follows For a ieger, we use he Bie forms α β α β 1 α 1 1 ad V α + β α 1 + 1 Professor, TOBB iversiy of Ecoomics ad Techology Mahemaics Deparme 06560 Aara, Turey, email: eilic@euedur 2 Professor, Deparme of Mahemaics, iversiy of Sellebosch 7602 Sellebosch Souh Africa, email: : hprodig@suacza 57

58 Emrah Kılıc, Helmu Prodiger wih β/α α 2, so ha α i/ where α, β p ± /2 ad p 2 + 4 Throughou his paper we will use he followig oaios: he -Pochhammer symbol x; 1 x1 x 1 x 1 ad he Gaussia -biomial coefficies [ ] ; ; ; The li bewee he geeralized Fiboomial ad Gaussia -biomial coefficies is { } α m wih α 2 ;m m We recall ha oe versio of he Cauchy biomial heorem is give by +1 [ 2 x ] 1 + x, ad Rohe s formula [1] is [ 1 1 2 x ] x; 1 x All he ideiies we will derive hold for geeral, ad resuls abou geeralized Fiboacci ad Lucas umbers come ou as corollaries for he special choice of Recely, he auhors of [2, 4] compued cerai Fiboomial sums wih geeralized Fiboacci ad Lucas umbers as coefficies For example, if ad m are boh oegaive iegers, he 2 2+1 2 2+1 { 2m 1 P,m 1 m 1 { + 1 2m P,m { V 2m 1 P,m { + 1 V 2m P,m { m 1 4 2, 2 1 m m 1 { m 2+12, 2 } { 2m 1 2 1 m V 4 2, { m V 2+12, 2 as well as heir aleraig aalogues were also preseed, where m V 2 if m, P,m m 1 V 1 2 if < m 1 More recely, Kilic ad Prodiger [3] give a sysemaic approach for compuig he sums of he form: { λ1+r 1 λs+r s i closed form, where r i ad λ i 1 are iegers I his paper we ivesigae sums coaiig he suare of Fiboomial coefficies wih he powers of geeralized Fiboacci ad Lucas umbers, over half he aural summaio rage The approach wors for Fiboacci ad Lucas -ype umbers as facors liewise We discuss boh, he Fiboacci ad Lucas isaces, where he rage of summaios is over all o-egaive iegers i e, abou half of he possible umber of erms For isaces

Closed form evaluaio of resriced sums coaiig suares of Fiboomial coefficies 59 wih he full rage of summaios, we refie ourselves o prese a few represeaive formulæ wihou preseig heir derivaios as well as 2 A sysemaic approach We are ow ieresed o evaluae he followig wo ids of sums { 2 { i 1 m1 V m 2 2 m 3 ad ii 1 m1 m 2 m 3 iii { 2 1 m 1 V m2 m 3 ad iv { 2 1 m 1 m2 m 3 i closed form where m i are iegers The sums of he ype i will be raslaed io -oaio: [ 2 2 2 1 m1++ i m 3m 2 1 2 m 3m 2 1 + m 3 m2 For our mehod o wor, firsly he facor 1 mus appear ad secodly he erm for mus coicide wih he erm for Tha meas ha we have wo possibiliies for he firs codiio: m 2 is eve, m 3 is eve such ha 2m 1 m 2 m 3 The we are able o evaluae he sums { 2 i closed form Their -forms are 1 2 1 rs V 2s r ad { 2 1 rs V2r s [ 2 1 2 rs 1 + r 2s ad [ 2 1 2 1 2 rs 1 + 2r s, 1 respecively Now we will examie wheher he secod codiio is saisfied We cosider he erm for ad igore cosa facors, [ 2 [ 2 1 2 rs 1 + r 2s 1 2 +rs 1 + r [ 2s 2 which is he erm for Thus we have ha [ 2 1 2 rs 1 + r 2s [ 2 2 2s 1 + 1 2 1 2 rs r + 1 2s, [ 2 1 2 rs 1 + r 2s

60 Emrah Kılıc, Helmu Prodiger Now we compue he sum over he full rage: [ 2 of he form 2 1 2 rs 1 + r 2s [ 2 1 2 rs 1 + r 2s 1 2 +rs 2 2s 1 2 +rs [ 2 2s 2s 1 2 2 rs r 2 2s r [ 2 1 2 2 rs+r 2s 1 2 +rs 2s 2 [ 2 r 1 2 2+rs Thus, coceraig o he ier sums, we have o evaluae a fiie umber of erms 2 [ 2 1 2 2+µ, where µ r s is a ieger Now we will explai how his ca be doe Cosider 2 [ 2 1 2 2+µ 22 + [ z 2] 2 22 + [ z 2] 2 2 2 z ] [ 2 2 z 22 + [ z 2] z; 2 z µ ; 2 2 2 Summarizig, he sum of ieres is evaluaed as [ 2 1 2 rs 1 + r 2s 2 2s 1 [ 2 + 1 1 2 2s 2 +rs+1 2 1 2 2 µ z 2 2 1 2 µ z 2s r [ z 2] z; 2 z µ ; 2, where µ is defied as before I order o evaluae [ z 2] z; 2 z µ ; 2, we observe ha here are facors 1 z i ad 1 + z i ha ca be combied o 1 z 2 2i Tha is he reaso ha we eed he facor 1 i our sums, as meioed before I fac, here are 2 µ such pairs, ad oly 2 µ separae facors They mess up he fial resul, bu sice µ is a cosa o depedig o, we sill ge a closed from evaluaio We have o evaluae a fiie umber of erms of he form [z 2 ]z a b z 2 c ; 2 2 µ b [z 2 a ]z 2 c ; 2 2 µ This is eiher 0 for 2 a odd or c2 a b+ 2 µ 2 2 a 1 a 2 a/2 a/2 1 2 2

Closed form evaluaio of resriced sums coaiig suares of Fiboomial coefficies 61 oherwise Eveually we ed up wih a fiie liear combiaio of erms of he form [ µ a/2 for some iegers µ ad a The fial sep is o raslae such a resul bac o expressios i erms of 2 µ ad simplify accordig o he Bie formula relaed o he recursio of a/2 ;2 secod order for For 1, he secod par of i, we ca chec i he same way ha our wo codiios are saisfied Thus we may wrie [ 2 1 2 rs 1 + 2r s [ 2 2 s 1 + 1 [ 2 1 2 rs 1 + 2r s 2 Now, similar o he previous case, we wrie [ 2 1 rs 1 + 2r s + 2 +rs 1 s 2 s 2 2r [ 2 1 2 2+rs 2, which, by usig our previous resul, euals s 2 +rs+1 1 s 2r [ z 2] z; 2 z µ ; 2, where µ r s 2 Therefore we have [ 2 [ 2 where µ r s 2 1 2 rs 1 + 2r s 2 s 1 + 1 s +rs+1 1 2 2 s 2r [ z 2] z; 2 z µ ;, 2 Now we move o sums of ype ii ad raslae hem io -oaio: [ 2 1 m2 2 2 1 m1+ i m 2m 3 1 1 2 m 2m 3 1 1 m m 3 2 For our mehod o wor, we reuire ha m 2 is eve such ha 2m 1 m 2 m 3 The we are able o evaluae he sums { 2 1 rs r 2s i closed form I -oaio, we have o evaluae [ 1 2s 1 s 2 s 2 1 rs 1 r 2s

62 Emrah Kılıc, Helmu Prodiger Sice he erm for 0 evaluaes o 0 ad we have agai symmery bewee ad we ca wrie [ 2 1 rs 1 r 2s 1 [ 2 1 rs 1 r 2s 2 Now we deal wih he full rage summaio [ 2 1 rs 1 r 2s 2s [ 2 2s 1 2s 1 rs which, by aig isead of, euals 2s 1 r [ 2 1 rs 2s 1 2s 2 2 1 rs Thus, we agai ecouer erms of he form [ 2 1 2 2+µ, [ 2 1 2 2+rs where µ r s is a ieger The reame of hese erms is covered by he previous discussio Summarizig, our evaluaio aes he form [ 2 where µ is defied as before 2 rs 1 1 r 2s 1 2s 2 1 2 + 2s 1 µ [ z 2] z; 2 z µ ; 2, I he remaiig secios, his geeral program will be illusraed i more deail o four examples Furher, we will lis several aracive formulæ ha were obaied usig he procedure jus described Fially we prese resuls o he sums wih full summaio rage 3 Illusraive Examples Now we wor ou four examples ha fall io he geeral scheme meioed above i more deail Also we will prese some addiioal examples wihou proof Theorem 31 For > 1, { 2 { 2 V2 2 2 ;1 { + ;1 ;2 { 2 + 2 ;2 + 2 2 + V 2 { 2 2 1 }, ;2

Closed form evaluaio of resriced sums coaiig suares of Fiboomial coefficies 63 where is defied as before Proof Firs we cover he lef-had side of he claim i -oaio: { 2 [ 2 V2 2 α 22 2 α 4 1 + 2 2 [ 2 α 22 [ 2 α 22 α 22 +4 1 + 2 2 1 2 1 + 2 2 Secod we cover he righ-had side of he claim i -oaio, sippig deails: { { } { } 2 2 2 2 2 + 2 + + 2 2 { } 2 2 2 + V 2 ;1 ;2 ;2 1 ;2 [ 2 2 2 2 α 2 22 + 2 2 + 2 2 1 1 2 2 2 1 1 + 2 2 2 1 So we eed o prove ha [ 2 1 2 2 1 + 2 [ 2 2 2 + [ 1 2 2 [ 2 + 2 2 2 1 2 2 2 1 1 + 2 [ 2 2 1 Thus, accordig o our approach, we wrie [ 2 1 2 2 1 + 2 2 [ 2 2 + 1 1 2 +3 2 2 [ z 2] z; 2 2 2 z 21 ; 2 [ 2 2 + 1 1 [ 2 2 +3 z 2 ] z; 2 z 2 ; 2 + 2 2 [ z 2] z; 2 z; 2 + 4 [ z 2] z; 2 z 2 ; 2 [ 2 2 + 1 1 [ +3 z 2 ] z 2 ; 2 2 2 2 2 1 + z 2 1 1 + z 2 2 1 z/ 2 1 z/ + 2 2 [ z 2] z 2 ; 2 + [ 2 4 z 2] 1 + z 1 + z 1 z 2+1 1 z 2 z 2 ; 2 2 z 2 ; 2 2 [ 2 2 + 1 1 2 2 +3 2 2 [ z 2] z 2 ; 2 + [ z 2] z 2 ; 2 2 2 2 1 + 3 1 2 1 2 2 2+1 + 4 z 2 + 4 6 z 4 + 4 [ z 2] ] 2

64 Emrah Kılıc, Helmu Prodiger which, by Rohe s formula ad afer some rearragemes, euals [ 2 2 + 1 1 2 2 +3 2 2 2 1 2 2 2 1 2 2 2 2 2 2 2 + 4 6 1 2 2 2 2 2 3 1 2 1 2 2 2+1 + 4 2 2 1 1 2 2 1 2 ] + 4 1 2 2 +4[ 2 2 2 ] + 4+2 1 2 2 +4 8[ 2 2 2 2 2 1 2 1 2 2 2+1 + 4 1 ] 1 2 2 as claimed [ 2 2 [ 2 + 2 2 + 2 [ 2 1 1 2 2 2 1 1 + 2 [ 2 2 1 ] 2, +4 4[ 2 2 1 2 Theorem 32 For > 1, { 2 1 V 2 ;1 { { } 2 + 2 1 2 1 ;1 ;2 Proof Firs we cover he lef-had side of he claim i -oaio: { 2 [ 1 2 V 2 1 2 1 2 1 + 2 ;1 Secod we cover he righ-had side of he claim i -oaio: { { } 2 + 2 1 2 1 1 2[ 2 2 1 + 2 ;1 ;2 Thus we eed o prove ha [ 2 1 2 1 + 2 [ 2 2 1 + 2 2 Thus, accordig o our approach, we wrie [ 2 1 2 1 + 2 [ 2 + 1 +2 1 2 2 [z 2 ] z; 2 z 1 ; + [ 2 2 z 2] z; 2 z; 2 [ 2 + 1 +2 1 [ z 2 ] z 2 ; 2 2 2 2 1 1 z/ 1 + z 2 1 + 2 [ z 2] z; 2 1 z; 2 1 1 + z 1 z 2 2

Closed form evaluaio of resriced sums coaiig suares of Fiboomial coefficies 65 [ 2 [ 2 + 1 2 1 2 1 2 2 + 2 1 2 [ 1 + 2 as desired; we sipped a few simple iermediae seps for breviy Theorem 33 For oegaive, { 2 + 2, 2 2 1 2 { 1 1 ;2 Proof Followig he program oulied before, we eed o prove ha [ 2 1 2 1 1 1 2 1 2 + 1 2 Thus, accordig o our approach, we evaluae he sum as follows, oly givig some ey seps: [ 2 2 1 1 2 1 2 1 2 + [ z 2] z; 2 z/; 2 2 [ z 2] z; 2 z; 2 + [ z 2] z; 2 z; 2 1 2 1 2 + [ z 2] 1 z/ z; 2 1 z; 2 1 1 + z 2 1 2 [ z 2] z 2 ; 2 2 + [ z 2] 1 + z z; 2 1 z; 2 1 1 z 2 1 ] 2 1 2 + 2 1 2 1 2[ +1 2 1 2 2 2 which, by some simple rearragemes, euals 1 2 2 1 as claimed 2, Theorem 34 For oegaive, { { 2 2 2 2 2 2 2 1 2 + 1 Proof The ideiy i -form is [ 2 + Thus we wrie [ 2 1 2 1 2 2 2 2 1 1 2 2 } ;2 1 1 + 1 2 1 1 2 2 2 1 2

66 Emrah Kılıc, Helmu Prodiger 1 2 1 2 + 2 [ z 2] 1 z/ 2 1 z/ 1 + z 2 1 1 + z 2 2 z; 2 2 z; 2 2 2 [ z 2] z 2 ; 2 2 + [ 2 z 2] 1 + z 1 + z 1 z 2 1 z 2+1 z 2 ; 2 2 z 2 ; 2 2 1 2 1 2 + 2 [ z 2] z 2 ; 2 2 2 1 + 3 1 2+1 2 1 2 2 + 4 z 2 + 4 6 z 4 2 [ z 2] z 2 ; 2 2 + 2 [ z 2] z 2 4 ; 2 2 2 which, by Rohe s formula, euals 2 2 2 2 2 as claimed 2 1 + 1 1 2 1 1 2 [ 2 2 1 1 1 2 1 2 2 2+1 + 4 2 ] 2, [ 2 1 2 Now we will prese a few addiioal resuls wihou explici proofs; hey ca be doe i exacly he same way as he previous examples: Theorem 35 1 For > 1, { 2 2 4 2 { 2 2 + 3 2 4 + 2 2 4 V1 2 2 1 2 3 2 2 + 2 2 2 2 For oegaive, { 2 4 3 +1 + 3 1 + V 2 1 V 2 { ;2 To fiish, we prese wo examples where he sums are over he full summaio rage Theorem 36 1 For oegaive, { 2 + 2 For > 0, V 2 1 4 1 V 2 { ;2 { 2 V 2 1 2V { } 4 2 2 2 + 1 ;2 R E F E R E N C E S [1] G E Adrews, R Asey, R Roy, Special fucios, Cambridge iversiy Press, 2000 [2] E Kılıç, H Prodiger, I Auş, H Ohsua, Formulas for Fiboomial Sums wih geeralized Fiboacci ad Lucas coefficies, The Fiboacci Quarerly 49:4 2011, pp 320 329 [3] E Kılıç ad H Prodiger, Closed form evaluaio of sums coaiig suares of Fiboomial coefficies, acceped by Mahemaica Slovaca [4] E Kılıç, H Ohsua, I Auş, Some geeralized Fiboomial sums relaed wih he Gaussia -biomial sums, Bull Mah Soc Sci Mah Roumaie, 55:103 No 1 2012, pp 51 61 } ;2