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FOCS 2023

Super-Logarithmic Lower Bounds for Dynamic Graph Problems

Conference Paper Accepted Paper Algorithms and Complexity ยท Theoretical Computer Science

Abstract

In this work, we prove a $\tilde{\Omega}(\lg^{3/2} n)$ unconditional lower bound on the maximum of the query time and update time for dynamic data structures supporting reachability queries in n-node directed acyclic graphs under edge insertions. This is the first super-logarithmic lower bound for any natural graph problem. In proving the lower bound, we also make novel contributions to the state-of-the-art data structure lower bound techniques that we hope may lead to further progress in proving lower bounds.

Authors

Keywords

  • Computer science
  • Directed acyclic graph
  • Heuristic algorithms
  • Computational modeling
  • Data structures
  • Lower Bound
  • Dynamic Problem
  • Graph Problems
  • Data Structure
  • Structural Dynamics
  • Update Time
  • Query Time
  • Posterior Probability
  • State Structures
  • Memory Cells
  • Butterfly
  • Product Distribution
  • Efficient Data
  • Nodes In Layer
  • Information Bits
  • Static Problem
  • Number Of Probes
  • Proof Of The Lemma
  • One-way Communication
  • Decoding Procedure
  • cell-probe model
  • data structure lower bounds
  • dynamic reachability
  • dynamic graph algorithms

Context

Venue
IEEE Symposium on Foundations of Computer Science
Archive span
1975-2025
Indexed papers
3809
Paper id
1093602322879498979