Table of Contents
Fetching ...

Gadgetless Lifting Beats Round Elimination: Improved Lower Bounds for Pointer Chasing

Xinyu Mao, Guangxu Yang, Jiapeng Zhang

TL;DR

This paper puts forth gadgetless lifting, a new framework that lifts lower bounds for a family of restricted protocols into lower bounds for general protocols, inspired by the structure-vs-pseudorandomness decomposition by G\"o\"os, Pitassi, and Watson and Yang and Zhang.

Abstract

We prove an Ω(n/k+k) communication lower bound on (k-1)-round distributional complexity of the k-step pointer chasing problem under uniform input distribution, improving the Ω(n/k - k log n) lower bound due to Yehudayoff (Combinatorics Probability and Computing, 2020). Our lower bound almost matches the upper bound of O(n/k + k) communication by Nisan and Wigderson (STOC 91). As part of our approach, we put forth gadgetless lifting, a new framework that lifts lower bounds for a family of restricted protocols into lower bounds for general protocols. A key step in gadgetless lifting is choosing the appropriate definition of restricted protocols. In this paper, our definition of restricted protocols is inspired by the structure-vs-pseudorandomness decomposition by Göös, Pitassi, and Watson (FOCS 17) and Yang and Zhang (STOC 24). Previously, round-communication trade-offs were mainly obtained by round elimination and information complexity. Both methods have some barriers in some situations, and we believe gadgetless lifting could potentially address these barriers.

Gadgetless Lifting Beats Round Elimination: Improved Lower Bounds for Pointer Chasing

TL;DR

This paper puts forth gadgetless lifting, a new framework that lifts lower bounds for a family of restricted protocols into lower bounds for general protocols, inspired by the structure-vs-pseudorandomness decomposition by G\"o\"os, Pitassi, and Watson and Yang and Zhang.

Abstract

We prove an Ω(n/k+k) communication lower bound on (k-1)-round distributional complexity of the k-step pointer chasing problem under uniform input distribution, improving the Ω(n/k - k log n) lower bound due to Yehudayoff (Combinatorics Probability and Computing, 2020). Our lower bound almost matches the upper bound of O(n/k + k) communication by Nisan and Wigderson (STOC 91). As part of our approach, we put forth gadgetless lifting, a new framework that lifts lower bounds for a family of restricted protocols into lower bounds for general protocols. A key step in gadgetless lifting is choosing the appropriate definition of restricted protocols. In this paper, our definition of restricted protocols is inspired by the structure-vs-pseudorandomness decomposition by Göös, Pitassi, and Watson (FOCS 17) and Yang and Zhang (STOC 24). Previously, round-communication trade-offs were mainly obtained by round elimination and information complexity. Both methods have some barriers in some situations, and we believe gadgetless lifting could potentially address these barriers.

Paper Structure

This paper contains 11 sections, 6 theorems, 18 equations, 2 algorithms.

Key Result

Lemma 1.3

Let $\gamma \in (0, 1)$. Let $X$ be a subset of $[n]^M$ and $J \subseteq [M]$. Suppose that there exists an $\beta \in [n]^{\overline{J}}$ such that $\forall x\in X, x(\overline{J})=\beta$. Then, there exists a partition $X = X^1\cup X^2\cup\cdots\cup X^r$ and every $X^i$ is associated with a set $I

Theorems & Definitions (18)

  • Definition 1.1: Min-entropy and deficiency
  • Definition 1.2: Dense distribution
  • Lemma 1.3: Density-restoring partition
  • Theorem 2.1: Main theorem, \ref{['thm:main:distributional']} restated
  • Lemma 2.2: Loop invariant
  • proof
  • Lemma 2.3: Relating accuracy and avarage fixed size
  • Claim 2.4
  • Claim 2.5
  • proof : Proof of \ref{['lem:accuracy']}
  • ...and 8 more