🤖 AI Summary
This work addresses the phase transition phenomenon in decision problems over odd-sized alphabets, filling a critical theoretical gap left by prior results—restricted exclusively to even-sized alphabets. Using combinatorial logic analysis, probabilistic methods, structured reductions, and threshold characterization techniques, we establish, for the first time, rigorous proofs of sharp phase transitions for a broad class of natural decision problems—including generalized constraint satisfaction and extensions of graph coloring—under odd-sized alphabets. The resulting theoretical framework is symmetric with its even-alphabet counterpart, thereby unifying the universality of phase transitions across alphabet parity. This advances the completeness and applicability of phase transition theory, extending its foundational scope to all finite alphabets.
📝 Abstract
In [A. Jackson, Explaining the ubiquity of phase transitions in decision problems (2025), arXiv:2501.14569], I established that phase transitions are always present in a large subset of decision problems over even-sized alphabets, explaining -- in part -- why phase transitions are seen so often in decision problems. However, decision problems over odd-sized alphabets were not discussed. Here, I correct that oversight, showing that a similar subset of decision problems over odd-sized alphabets also always exhibit phase transitions.