This paper investigates ER(r^Z), that is the extension of the existential theory of the reals by an additional unary predicate r^Z for the integer powers of a fixed computable real number r > 0. If all we have access to is a Turing machine computing r, it is not possible to decide whether an input formula from this theory satisfiable. However, we show an algorithm to decide this problem when:

1. r is known to be transcendental, or
2. r is a root of some given integer polynomial (that is, r is algebraic). In other words, knowing the algebraicity of r suffices to circumvent undecidability. Furthermore, we establish complexity results under the proviso that r enjoys what we call a polynomial root barrier. Using this notion, we show that the satisfiability problem of ER(r^Z) is
3. in EXPSPACE if r is an algebraic number, and
4. in 3EXP if r is a logarithm of an algebraic number, Euler’s e, or the number pi, among others. To establish our results, we first observe that the satisfiability problem of ER(r^Z) reduces in exponential time to the problem of solving quantifier-free instances of the theory of the reals where variables range over r^Z. We then prove that these instances have a small witness property: only finitely many integer powers of r must be considered to find whether a formula is satisfiable. Our complexity results are shown by relying on well-established machinery from Diophantine approximation and transcendental number theory, such as bounds for the transcendence measure of numbers. As a by-product of our results, we are able to remove the appeal to Schanuel’s conjecture from the proof of decidability of the entropic risk threshold problem for stochastic games with rational probabilities, rewards and threshold [Baier et al., MFCS'23]: when the base of the entropic risk is Euler’s e and the aversion factor is a fixed algebraic number, the problem is (unconditionally) in EXP.