# Improved Approximate Rips Filtrations with Shifted Integer Lattices

## TL;DR

This paper introduces an efficient scheme to approximate Rips filtrations using shifted integer lattices, significantly reducing computational complexity for topological data analysis in high dimensions.

## Contribution

It presents a novel approximation method for Rips filtrations leveraging integer lattices and barycentric subdivision, extending to Euclidean spaces with controlled error bounds.

## Key findings

- Achieves a 3√2-approximation for L_infinity Rips complexes.
- Extends to an O(d^{0.25})-approximation in Euclidean spaces.
- Reduces the size of the k-skeleton to n2^{O(d log k)}.

## Abstract

Rips complexes are important structures for analyzing topological features of metric spaces. Unfortunately, generating these complexes constitutes an expensive task because of a combinatorial explosion in the complex size. For $n$ points in $\mathbb{R}^d$, we present a scheme to construct a $3\sqrt{2}$-approximation of the multi-scale filtration of the $L_\infty$-Rips complex, which extends to a $O(d^{0.25})$-approximation of the Rips filtration for the Euclidean case. The $k$-skeleton of the resulting approximation has a total size of $n2^{O(d\log k)}$. The scheme is based on the integer lattice and on the barycentric subdivision of the $d$-cube.