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Expansions of binary recurrences in the additive base formed by the number of divisors of the factorial

Florian Luca, Augustine O. Munagi (2014)

Colloquium Mathematicae

We note that every positive integer N has a representation as a sum of distinct members of the sequence d ( n ! ) n 1 , where d(m) is the number of divisors of m. When N is a member of a binary recurrence u = u n 1 satisfying some mild technical conditions, we show that the number of such summands tends to infinity with n at a rate of at least c₁logn/loglogn for some positive constant c₁. We also compute all the Fibonacci numbers of the form d(m!) and d(m₁!) + d(m₂)! for some positive integers m,m₁,m₂.

Explicit algebraic dependence formulae for infinite products related with Fibonacci and Lucas numbers

Hajime Kaneko, Takeshi Kurosawa, Yohei Tachiya, Taka-aki Tanaka (2015)

Acta Arithmetica

Let d ≥ 2 be an integer. In 2010, the second, third, and fourth authors gave necessary and sufficient conditions for the infinite products k = 1 U d k - a i ( 1 + ( a i ) / ( U d k ) ) (i=1,...,m) or k = 1 V d k - a i ( 1 + ( a i ) ( V d k ) (i=1,...,m) to be algebraically dependent, where a i are non-zero integers and U n and V n are generalized Fibonacci numbers and Lucas numbers, respectively. The purpose of this paper is to relax the condition on the non-zero integers a 1 , . . . , a m to non-zero real algebraic numbers, which gives new cases where the infinite products above are algebraically dependent....

Explicit formulas for the constituent matrices. Application to the matrix functions

R. Ben Taher, M. Rachidi (2015)

Special Matrices

We present a constructive procedure for establishing explicit formulas of the constituents matrices. Our approach is based on the tools and techniques from the theory of generalized Fibonacci sequences. Some connections with other results are supplied. Furthermore,we manage to provide tractable expressions for the matrix functions, and for illustration purposes we establish compact formulas for both the matrix logarithm and the matrix pth root. Some examples are also provided.

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