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On existential Büchi arithmetic in two coprime bases

This paper establishes the decidability of the existential fragment of Presburger arithmetic expanded with Büchi predicates for two coprime bases by providing a quantifier-elimination argument.

Original authors: Joris Nieuwveld

Published 2026-08-26
📖 5 min read🧠 Deep dive

Original authors: Joris Nieuwveld

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Mathematics has long been fascinated by the rules that govern numbers, specifically how we can describe them using simple operations like addition and ordering. For nearly a century, a system known as Presburger arithmetic has served as a reliable foundation for this work. It allows us to ask questions about integers using only addition and the concept of "less than," and thanks to a method developed in 1929, we know that any question posed within this system can be answered with a definite yes or no. However, this system is limited; it cannot handle multiplication, which is the key that unlocks the full complexity of arithmetic. When multiplication is added, the system becomes so powerful that no algorithm can ever guarantee an answer to every possible question.

To bridge the gap between the simple world of addition and the complex world of multiplication, researchers have explored adding specific, limited tools to the system. One such tool is a predicate that identifies the largest power of a specific number that divides another number. For instance, if we look at the number 12, the largest power of 2 that divides it is 4, while the largest power of 3 that divides it is 3. This tool, often called a Büchi predicate, allows us to talk about powers of numbers without fully introducing multiplication. The central question for decades has been what happens when we try to use two of these tools at once, specifically for two different base numbers that do not share a simple multiplicative relationship. If we try to describe numbers using the powers of two different bases simultaneously, does the system remain solvable, or does it collapse into the unsolvable chaos of full multiplication?

A researcher at the University of Oxford, Joris Nieuwveld, has now provided a definitive answer for a specific and important case of this problem. The study focuses on two base numbers that are coprime, meaning they share no common factors other than one, such as 2 and 3. While previous work had shown that using two such bases generally makes the system undecidable, Nieuwveld demonstrated that if we restrict our questions to a specific, simpler form—asking only if a solution exists without demanding a full description of all possible solutions—the system remains solvable. The paper proves that for these coprime bases, there is a reliable method to determine whether a given statement is true or false, effectively taming a problem that was previously thought to be intractable in this specific configuration.

The path to this discovery required navigating a landscape of exponential growth and modular constraints. The researcher began by translating the complex logical questions into a system of inequalities and modular equations involving powers of the two bases. Imagine these powers as variables that can grow incredibly large, and the equations as rules that dictate how they relate to one another. The challenge was to determine if there is any combination of these numbers that satisfies all the rules simultaneously. The approach involved breaking the problem down into manageable layers, grouping the variables based on how their sizes relate to one another. By analyzing the structure of these layers, the researcher could identify which variables were tightly bound together and which could vary independently.

A crucial part of the solution relied on a deep understanding of how numbers behave when divided by powers of other numbers. The paper utilizes a powerful theorem from number theory to show that under certain conditions, the remainders of these powers follow predictable patterns. This predictability allowed the researcher to simplify the problem significantly. Instead of trying to solve for every possible number, the method reduced the infinite possibilities to a finite set of cases that could be checked. The proof showed that if the bases are coprime, the interactions between their powers are constrained enough to prevent the system from becoming too chaotic to solve.

The result is a significant clarification of the boundaries of decidability in arithmetic. It confirms that while adding two Büchi predicates generally leads to an unsolvable system, the existential fragment—the part of the system that asks only for the existence of a solution—remains decidable when the bases are coprime. This finding settles a long-standing open question for this specific case. The paper does not claim to have solved the problem for all possible pairs of bases, particularly those that are not coprime, where the behavior of the remainders becomes much more erratic and the current methods do not apply. However, for the coprime case, the work provides a complete and rigorous proof that a decision procedure exists.

This work matters because it refines our understanding of where the line is drawn between what can be computed and what cannot. In the broader field of logic and computer science, knowing the limits of what can be decided is essential for designing systems that verify software, check mathematical proofs, and model complex processes. By showing that a specific, natural extension of arithmetic remains solvable under certain conditions, the paper adds a precise piece to the puzzle of mathematical logic. It demonstrates that even in systems that seem on the verge of becoming too complex to handle, there are still islands of order that can be mapped and understood, provided one looks at them with the right tools and the right level of restriction.

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