2016
DOI: 10.37236/5684
|View full text |Cite
|
Sign up to set email alerts
|

Orphans in Forests of Linear Fractional Transformations

Abstract: The set of positive linear fractional transformations (PLFTs) is partitioned into an infinite forest of PLFT Calkin-Wilf-trees. The roots of these trees are called orphans. In this paper, we provide a combinatorial formula for the number of orphan PLFTs with fixed determinant D. Then we provide a way of determining the orphan of a PLFT Calkin-Wilf-tree for a given PLFT. In addition, we show that every positive complex number is the descendant of a complex (u, v)orphan. Date

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
1
1
1

Relationship

2
1

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 15 publications
0
3
0
Order By: Relevance
“…[1,3,4,7,9,14,15,16,19]). For work related to this paper, see [11,12]. The first four rows the Calkin-Wilf tree are as follows:…”
Section: The Calkin-wilf Tree Of Rational Numbersmentioning
confidence: 99%
“…[1,3,4,7,9,14,15,16,19]). For work related to this paper, see [11,12]. The first four rows the Calkin-Wilf tree are as follows:…”
Section: The Calkin-wilf Tree Of Rational Numbersmentioning
confidence: 99%
“…More generally, the trees T (u,v) (z) form a partition of Q + as z runs over [1/u, v] ∩ Q; see [8]. The Calkin-Wilf tree has many other interesting properties [3,5,6,8,9], one of which is the fact that the mean value of vertices of depth n converges to 3/2 as n → ∞ [1,10]. Our main result generalizes this property for all (u, v)-Calkin-Wilf trees.…”
Section: Introductionmentioning
confidence: 99%
“…To reduce some of our calculations and to better organize and present our work, we use a generalization of the Calkin-Wilf tree [4] for positive linear fractional transformations (PLFTs) due to Nathanson [10]. In particular, we will use the matrix version 2 of this tree (see [4,5,6,10] for a more thorough history of this material).…”
Section: Introductionmentioning
confidence: 99%