# Quantifying the degree of average contraction of Collatz orbits

## Abstract

We here elaborate on a quantitative argument to support the validity of the Collatz conjecture, also known as the $$(3x+1)$$ or Syracuse conjecture. The analysis is structured as follows. First, three distinct fixed points are found for the third iterate of the Collatz map, which hence organise in a period 3 orbit of the original map. These are 1, 2 and 4, the elements which define the unique attracting cycle, as hypothesised by Collatz. To carry out the calculation we write the positive integers in modulo 8 (mod8), obtain a closed analytical form for the associated map and determine the transitions that yield contracting or expanding iterates in the original, infinite-dimensional, space of positive integers. Then, we consider a Markov chain which runs on the reduced space of mod8 congruence classes of integers. The transition probabilities of the Markov chain are computed from the deterministic map, by employing a measure that is invariant for the map itself. Working in this setting, we demonstrate that the stationary distribution sampled by the stochastic system induces a contracting behaviour for the orbits of the deterministic map on the original space of the positive integers. Sampling the equilibrium distribution on the congruence classes mod $$8^m$$ for any m, which amounts to arbitrarily reducing the degree of imposed coarse graining, returns an identical conclusion.

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1. 1.

We shall hereafter label the rows and columns of $$Q^*$$ with indexes running from 0 up to 7, rather than from 1 up to 8, as it is customarily done.

2. 2.

Observe that formally $$k=k(m)$$.

3. 3.

In principle one could also consider the additional constraint on $$n_{min}$$, imposed by the class of relative pertinence.

## References

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Oliveira, T., Silva, E.: Maximum excursion and stopping time record holders for the 3x+1 problem: computational results. Math. Comput. 68(1), 371–384 (1999)

3. 3.

Matthews, K.R., Watts, A.M.: A Markov approach to the generalised Syracuse algorithm. Acta Arith. 45, 29 (1985)

4. 4.

Buttsworth, R.N., Matthews, K.R.: On some Markov matrices arising from the generalised Collatz mapping. Acta Arith. 55 (1985)

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Cox, D.R., Miller, H.D.: The Theory of Stochastic Processes. CRC Press, Florida, USA (1977)

## Acknowledgements

We would like to thank the numerous colleagues who interacted with us all along the various stages of the writing of this work. In particular we warmly thank Claudio Bonanno, Carlo Carminati, Jean-Charle Delvenne, Craig Alan Feinstein, Steffen Kionke, Shlomo Levental, Stefano Marmi, Vassilis Papanicolaou, François Stealens and Cédric Villani, for their insightful comments and remarks. The work of T.C. presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimization), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office.

## Author information

Authors

### Corresponding author

Correspondence to Timoteo Carletti.

## Appendix A: Methods

### Appendix A.1: A numerical test

The components of $$\mathbf {P}_{stat}$$ quantify the time spent by the system in each of the eight classes, in its long-lasting approach to equilibrium. To challenge this interpretative picture we compare in Fig. 2 the prediction for $$\mathbf {P}_{stat}$$ as obtained under the stochastic picture to the quasi-stationary distribution $$\mathbf {P}^{num}_{stat}$$ recorded numerically from a direct implementation of the deterministic Collatz map. By quasi-stationary distribution we here mean the frequency of visits of the eight classes, prior absorption to the Collatz cycle.