Problem Description
Given a positive integer p, consider an array nums that consists of the integers in the inclusive range [1, 2^p - 1] (each represented in binary). You are allowed to perform any number of operations where you choose two elements x and y from nums, then swap a corresponding bit (i.e. same position) between them. The goal is to minimize the non-zero product of the array elements after performing these operations any number of times. Return the result modulo 10^9 + 7.
Key Insights
- The maximum value in the array is M = 2^p - 1.
- The minimum non-zero product is achieved by pairing M - 1 (which is 2^p - 2) as many times as possible and then multiplying by M once.
- The number of times M - 1 is used is 2^(p-1) - 1.
- The answer can be computed as: ans = M * (M - 1)^(2^(p-1) - 1) modulo 10^9 + 7.
- Fast exponentiation is essential to handle the large exponent efficiently.
Space and Time Complexity
Time Complexity: O(log(2^(p-1))) which is O(p); however, due to the use of fast exponentiation, it is efficient for p up to 60.
Space Complexity: O(1)
Solution
We start by noting that when p equals 1, the only number in the array is 1, so the answer is 1. For p > 1, the highest value in the array is M = 2^p - 1.
The optimal strategy involves maximizing the use of the number M - 1 (which is 2^p - 2) as factors in the product. Precisely, the optimal product is given by multiplying M exactly once and (M - 1) repeatedly for (2^(p-1) - 1) times.
Thus, the answer is:
ans = M * (M - 1)^(2^(p-1) - 1) modulo 10^9 + 7
We use modular exponentiation to compute the large exponent in an efficient manner.