The irrationality measure of {\pi} is at most 7.101862832357
By introducing two independent numerator exponents into the Zeilberger–Zudilin integral and specializing them to , the author establishes a new upper bound of approximately 7.10186 for the irrationality measure of , improving upon the previous record by more than 0.00134.
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
In the vast landscape of mathematics, there are numbers that cannot be written as simple fractions. These are called irrational numbers, and they include familiar constants like the square root of two and the ratio of a circle's circumference to its diameter, known as pi. While we can calculate these numbers to trillions of decimal places, a deeper question remains: how well can we approximate them using fractions? Mathematicians measure this difficulty with a concept called the irrationality measure. Think of this measure as a gauge of how stubborn a number is; a lower score means the number is harder to trick with a simple fraction, while a higher score suggests it is easier to approximate. For centuries, mathematicians have tried to pin down the exact score for pi. We know it is at least two, but the precise upper limit has been a moving target, with previous best efforts placing it just above seven.
A recent study by Yufei Bai has pushed this boundary further, proving that the irrationality measure of pi is strictly less than 7.101862832357. This might sound like a tiny adjustment, but in the world of high-precision number theory, it is a significant leap. The research builds upon a sophisticated method developed by mathematicians Doron Zeilberger and Wadim Zudilin, which uses complex integrals—essentially areas under curved lines in the complex plane—to generate special mathematical expressions. These expressions act as a test: if they behave in a certain way, they prove that pi cannot be too easily approximated by fractions. The previous best result using this method had set the limit at approximately 7.1032. Bai's work refines the ingredients of this test, tweaking the specific powers used in the integral's formula to squeeze out a slightly better result.
The core of the achievement lies in how the researcher adjusted the parameters of the integral. Imagine the integral as a machine with two dials that control its sensitivity. The previous work had set these dials to a specific, balanced position. Bai discovered that by turning both dials to a new, very specific setting—where the values are roughly 1857 divided by 2785—the machine becomes more efficient at detecting the true nature of pi. This adjustment is not just a random guess; the paper demonstrates that this specific setting is a local minimum for the error function, meaning that any small shift in either direction would make the result worse. It is a precise, calculated optimization within a narrow mathematical valley.
To prove this, the paper constructs a sequence of integer-based expressions that involve pi. The researcher then analyzes two competing forces within these expressions. One force causes the numbers to grow larger as the sequence progresses, while the other causes the entire expression to shrink toward zero. The goal is to find a balance where the expression becomes vanishingly small without the numbers inside it becoming impossibly large. By carefully tracking the growth of the denominators and the decay of the integral, the study establishes a strict inequality. The math shows that for the chosen parameters, the expression shrinks fast enough to prove that pi's irrationality measure cannot exceed the new, lower threshold.
The study is rigorous and self-contained. It does not rely on computer simulations to guess the answer but uses exact arithmetic and logical deduction to verify every step. The author explicitly notes that this result is a local improvement; it proves that this specific point is better than its immediate neighbors, but it does not claim to be the absolute best possible setting for all time. Furthermore, the paper acknowledges the assistance of generative artificial intelligence tools in exploring parameters and checking proofs, while maintaining that the mathematical claims and final text are the sole responsibility of the author. The result stands as a verified, tighter bound on how well pi can be approximated, lowering the known ceiling by a fraction of a percent that required immense precision to find.
Drowning in papers in your field?
Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.