Implicit representation conjecture for semi-algebraic graphs
Matthew Fitch

TL;DR
This paper investigates the implicit representation conjecture for semi-algebraic graphs, demonstrating limitations of naive coordinate storage and proposing a more efficient encoding method that improves upon trivial bounds.
Contribution
It provides a new encoding approach for semi-algebraic graphs that reduces bits per vertex below trivial bounds, advancing understanding of the conjecture.
Findings
Naive coordinate approximation storage is ineffective.
Proposed encoding requires O(n^{1-ε}) bits per vertex.
Results offer a slight improvement over trivial bounds.
Abstract
The implicit representation conjecture concerns hereditary families of graphs. Given a graph in such a family, we want to assign some string of bits to each vertex in such a way that we can recover the information about whether 2 vertices are connected or not using only the 2 strings of bits associated with those two vertices. We then want to minimise the length of this string. The conjecture states that if the family is hereditary and small enough (it only has graphs of size ), then bits per vertex should be sufficient. The trivial bounds on this problem are that: (1) some families require at least bits per vertex ; (2) bits per vertex are sufficient for all families. In this paper, we will be talking about a special case of the implicit representation conjecture, where the family is semi-algebraic (which roughly means…
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