
handle: 11499/9055 , 11499/47145
In this paper we define and study the Gaussian Fibonacci and Gaussian Lucas p-numbers. We give generating functions, Binet formulas, explicit formulas, matrix representations and sums of Gaussian Fibonacci p-numbers by matrix methods . For p = 1 these Gaussian Fibonacci and Gaussian Lucas p-numbers reduce to the Gaussian Fibonacci and the Gaussian Lucas numbers. © Copyright 2017, Charles Babbage Research Centre All rights reserved.
Gaussian Fibonacci p-numbers, Binet Formulas, Gaussian Lucas p-numbers, Partial Derivatives, Fibonacci numbers, Golden Section, 620, 510, Fibonacci numbers; Gaussian Fibonacci numbers; Gaussian Fibonacci, p-Numbers; Gaussian Lucas p-Numbers, Generalized Fibonacci, Gaussian Fibonacci numbers, Gaussian Lucas p-Numbers, Gaussian Fibonacci p-Numbers, Complex Fibonacci
Gaussian Fibonacci p-numbers, Binet Formulas, Gaussian Lucas p-numbers, Partial Derivatives, Fibonacci numbers, Golden Section, 620, 510, Fibonacci numbers; Gaussian Fibonacci numbers; Gaussian Fibonacci, p-Numbers; Gaussian Lucas p-Numbers, Generalized Fibonacci, Gaussian Fibonacci numbers, Gaussian Lucas p-Numbers, Gaussian Fibonacci p-Numbers, Complex Fibonacci
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
