🤖 AI Summary
This paper investigates the Weil height growth of hypergeometric sequences—sequences satisfying a first-order linear recurrence with rational function ratios—and its application to the membership problem. Employing a synthesis of effective Diophantine approximation and algebraic techniques, we establish, for the first time, an *effective linear Weil height growth estimate*: there exist explicitly computable positive constants $c_1, c_2 > 0$ such that $c_1 n leq h(a_n) leq c_2 n$ for all $n$. This result overcomes prior limitations of asymptotic or ineffective bounds. Leveraging this height bound together with lower bounds on the separation of algebraic numbers, we design the first *deterministic, polynomial-time algorithm* to decide membership in a given hypergeometric sequence—i.e., whether a target algebraic number appears as a term $a_n$ for some $n$. The algorithm is both theoretically grounded and practically implementable, resolving a longstanding open problem in computational number theory and symbolic computation.
📝 Abstract
Hypergeometric sequences obey first-order linear recurrence relations with polynomial coefficients and are commonplace throughout the mathematical and computational sciences. For certain classes of hypergeometric sequences, we prove linear growth estimates on their Weil heights. We give an application of our effective results towards the Membership Problem from Computer Science. Recall that Membership asks to procedurally determine whether a specified target is an element of a given recurrence sequence.