The Game-Theoretic Kat\v{e}tov Order and Idealised Effective Subtoposes
Takayuki Kihara, Ming Ng

TL;DR
This paper explores the structure of the effective topos's order using a game-theoretic variant of the Kat9etov order on filters, revealing deep combinatorial and computability-theoretic interactions.
Contribution
It introduces a gamified Kat9etov order on filters, analyzes its structure, and connects it to the -order in the effective topos, extending previous computability results.
Findings
The gamified Kat9etov order is coarser than Rudin-Keisler and collapses MAD families.
It supports an infinite ascending chain of ideal classes.
The computable variant is isomorphic to the original -order.
Abstract
This paper addresses the longstanding problem of determining the structure of the -order in the Effective Topos, known to effectively embed the Turing degrees. In a surprising discovery, we show that the -order is in fact tightly controlled by the combinatorics of filters on , raising deep questions about how combinatorial and computable complexity interact, both within this order and beyond it. To make the connection precise, we introduce a game-theoretic (''gamified'') variant of the Kat\v{e}tov order on filters over , which turns out to exhibit a striking mix of coarseness and subtlety. For one, it is strictly coarser than the classical Rudin-Keisler order and, when viewed dually on ideals, collapses all MAD families to a single equivalence class. On the other hand, the order also supports a rich internal structure, including…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · semigroups and automata theory · Complexity and Algorithms in Graphs
