
In this task, given two positive integers n and k, we need to create a sequence of binary strings based on n and determine the k-th bit in the n-th string of that sequence. The sequence of binary strings, S1, S2, S3, ... Sn, is constructed through a specific set of operations:
S1 is initialized to the string "0".Si for i > 1 is created by concatenating three segments:Si-1."1".Si-1.For concatenation, we join two strings end-to-end. The reverse(x) operation reverses the order of bits in the string x, while the invert(x) function flips all the bits in the string, changing 0 to 1 and vice versa. From the generated string Sn, the objective is to find out what the bit at position k is.
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Explanation:
Input:
Output:
Explanation:
1 <= n <= 201 <= k <= 2n - 1Given the structure of the problem, the approach revolves around understanding how the strings Sn are constructed and efficiently determining the k-th bit without necessarily building the entire string Sn, especially since these strings grow exponentially in length. Below is a breakdown of the approach based on given examples and constraints:
Understanding Sn construction: Each string in the sequence is built using a previous string. Starting from a base, each subsequent string is larger and derived from complex operations on all prior content. Thus, understanding the exact length and composition of strings quickly becomes intractable if done naively for large n.
Recursive Relations:
Si for i>1 is always 1.Si (except the middle bit) is the same as Si-1.Si is the reversed and inverted Si-1.Using these properties can lead to a recursive determination of any bit's value in Si without explicit string construction:
k is the middle bit of Si, it’s 1.k is in the first half (excluding the middle bit), the problem reduces to finding the k-th bit in Si-1.k is in the second half, the problem translates to finding a corresponding bit in Si-1 and then inverting it.Optimal Tracking of k:
Si (which is 2^i - 1), allows calculation of whether k falls before, at, or after the middle bit.k and i accordingly to find the bit either directly or via inversion.This methodology allows us to efficiently trace back through the recursive structure without needing exponential space or time, as direct computation would entail, making it feasible given the constraints.
The provided C++ code defines a function findKthBit in a class named Solution. This function determines the k-th bit in the n-th iteration of a specific binary string sequence without explicitly generating the strings. The operation mainly revolves around bit manipulation techniques to identify the correct bit.
Here's the logic breakdown:
bitPosition is calculated using k & -k, which evokes the least significant bit of k that is set to one.isFlipSection is deduced using the formula ((k / bitPosition) >> 1 & 1) == 1 that checks if the considered section of the sequence should be flipped based on its position within the sequence.isFirstBitOne is determined by (k & 1) == 0 to identify whether the position is originally set to '0' or '1'.Using these flags, the function decides what the output should be:
isFlipSection is true, the result inversely depends on isFirstBitOne.isFlipSection is false, the result directly mirrors isFirstBitOne.This approach effectively sidesteps the need to construct large binary strings, proving efficient especially for high values of n and k.
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