# Reconstruction of the polarization distribution of the Rice-Mele model

## TL;DR

This paper reconstructs the polarization distribution in the Rice-Mele model using gauge invariant cumulants, revealing how the distribution shifts and distorts under various parameters and topological cycles.

## Contribution

It introduces a method to reconstruct the polarization distribution from moments in the Rice-Mele model, linking topological properties with distribution shape changes.

## Key findings

- Distribution shifts towards the midpoint as on-site interaction decreases.
- Shape of the distribution becomes asymmetric away from the fully dimerized limit.
- Distribution moves across unit cells during topological cycles with significant shape distortion.

## Abstract

We calculate the gauge invariant cumulants (and moments) associated with the Zak phase in the Rice-Mele model. We reconstruct the underlying probability distribution by maximizing the information entropy and applying the moments as constraints. When the Wannier functions are localized within one unit cell, the probability distribution so obtained corresponds to that of the Wannier function. We show that in the fully dimerized limit the magnitude of the moments are all equal. In this limit, if the on-site interaction is decreased towards zero, the distribution shifts towards the midpoint of the unit cell, but the overall shape of the distribution remains the same. Away from this limit, if alternate hoppings are finite, and the on-site interaction is decreased, the distribution also shifts towards the midpoint of the unit cell, but it does this by changing shape, by becoming asymmetric around the maximum, as well as by shifting. We also follow the probability distribution of the polarization in cycles around the topologically non-trivial point of the model. The distribution moves across to the next unit cell, its shape distorting considerably in the process. If the radius of the cycle is large, the shift of the distribution is accompanied by large variations in the maximum.