This recurrence adds log n at each of n steps. Summing log 1 + log 2 + ... + log n = log(n!) ≈ n log n - n + O(log n) by Stirling's approximation. Therefore T(n) = O(n log n). The O(n) option would require constant work per step, and O(n²) would require linearly growing work.