Given two positive integers n and k, the binary string Sn is formed as follows:
S1 = "0"
Si = Si - 1 + "1" + reverse(invert(Si - 1)) for i > 1
Where + denotes the concatenation operation, reverse(x) returns the reversed string x, and invert(x) inverts all the bits in x (0 changes to 1 and 1 changes to 0).
For example, the first four strings in the above sequence are:
S1 = "0"
S2 = "011"
S3 = "0111001"
S4 = "011100110110001"
Return thekthbitinSn. It is guaranteed that k is valid for the given n.
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Example 1:
Input: n = 3, k = 1
Output: "0"
Explanation: S3 is "0111001".
The 1st bit is "0".
Example 2:
Input: n = 4, k = 11
Output: "1"
Explanation: S4 is "011100110110001".
The 11th bit is "1".
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Constraints:
1 <= n <= 20
1 <= k <= 2n - 1
Solutions
Solution 1: Case Analysis + Recursion
We can observe that for \(S_n\), the first half is the same as \(S_{n-1}\), and the second half is the reverse and negation of \(S_{n-1}\). Therefore, we can design a function \(dfs(n, k)\), which represents the \(k\)-th character of the \(n\)-th string. The answer is \(dfs(n, k)\).
The calculation process of the function \(dfs(n, k)\) is as follows:
If \(k = 1\), then the answer is \(0\);
If \(k\) is a power of \(2\), then the answer is \(1\);
If \(k \times 2 < 2^n - 1\), it means that \(k\) is in the first half, and the answer is \(dfs(n - 1, k)\);
Otherwise, the answer is \(dfs(n - 1, 2^n - k) \oplus 1\), where \(\oplus\) represents the XOR operation.
The time complexity is \(O(n)\), and the space complexity is \(O(n)\). Here, \(n\) is the given \(n\) in the problem.