How does the execution time increase in a logarithmic time complexity, $O(\log N)$?

Answer

The input size is effectively halved or divided by a constant factor in each step

Logarithmic time complexity means the time grows very slowly because the problem size is substantially reduced (like being halved) with each successive step, which is characteristic of algorithms like binary search.

How does the execution time increase in a logarithmic time complexity, $O(\log N)$?
efficiencycomplexityalgorithmscalinginput size