English

Pebbles and Branching Programs for Tree Evaluation

Computational Complexity 2015-03-17 v1

Abstract

We introduce the Tree Evaluation Problem, show that it is in logDCFL (and hence in P), and study its branching program complexity in the hope of eventually proving a superlogarithmic space lower bound. The input to the problem is a rooted, balanced d-ary tree of height h, whose internal nodes are labeled with d-ary functions on [k] = {1,...,k}, and whose leaves are labeled with elements of [k]. Each node obtains a value in [k] equal to its d-ary function applied to the values of its d children. The output is the value of the root. We show that the standard black pebbling algorithm applied to the binary tree of height h yields a deterministic k-way branching program with Theta(k^h) states solving this problem, and we prove that this upper bound is tight for h=2 and h=3. We introduce a simple semantic restriction called "thrifty" on k-way branching programs solving tree evaluation problems and show that the same state bound of Theta(k^h) is tight (up to a constant factor) for all h >= 2 for deterministic thrifty programs. We introduce fractional pebbling for trees and show that this yields nondeterministic thrifty programs with Theta(k^{h/2+1}) states solving the Boolean problem "determine whether the root has value 1". We prove that this bound is tight for h=2,3,4, and tight for unrestricted nondeterministic k-way branching programs for h=2,3.

Cite

@article{arxiv.1005.2642,
  title  = {Pebbles and Branching Programs for Tree Evaluation},
  author = {Stephen Cook and Pierre McKenzie and Dustin Wehr and Mark Braverman and Rahul Santhanam},
  journal= {arXiv preprint arXiv:1005.2642},
  year   = {2015}
}

Comments

Journal version of mostly-previously-published work. 47 pages

R2 v1 2026-06-21T15:23:09.602Z