Find Kth Bit in Nth Binary String
1545. Find Kth Bit in Nth Binary String
Difficulty: Medium
Topics: String, Recursion, Simulation
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 the kth bit in Sn. It is guaranteed that k is valid for the given n.
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".
Example 3:
- Input: n = 3, k = 2
- Output: "0"
Constraints:
- 1 <= n <= 20
- 1 <= k <= 2n - 1
Hint:
- Since n is small, we can simply simulate the process of constructing S1 to Sn.
Solution:
We need to understand the recursive process used to generate each binary string Sn and use this to determine the k-th bit without constructing the entire string.
Approach:
-
Recursive String Construction:
- S1 = "0".
- For i > 1:
- Si is constructed as: Si = Si-1 "1" reverse(invert(Si-1))
- This means Si consists of three parts:
- Si-1 (the original part)
- "1" (the middle bit)
- reverse(invert(Si-1)) (the transformed part)
-
Key Observations:
- Si has a length of 2i-1.
- The middle bit (position 2i-1 of Si is always "1".
- If k lies in the first half, it falls within Si-1.
- If k is exactly the middle position, the answer is "1".
- If k is in the second half, it corresponds to the reverse-inverted part.
-
Inverting and Reversing:
- To determine the bit in the second half, map k to its corresponding position in the first half using: k' = 2i - k
- The bit at this position in the original half is inverted, so we need to flip the result.
-
Recursive Solution:
- Recursively determine the k-th bit by reducing n and mapping k until n = 1.
- Base Case: If n = 1, Si is "0", so the only possible value for any k is "0".
-
Recursive Steps:
- Calculate the middle index mid which is 2n-1.
- If k matches the middle index, return "1".
- If k is less than mid, the k-th bit lies in the first half, so we recursively find the k-th bit in Sn-1.
- If k is greater than mid, we find the corresponding bit in the reverse-inverted second half and flip it.
- Time Complexity: O(n) because each recursive call reduces n by 1.
- Space Complexity: O(n) for the recursive call stack.
-
Input: n = 3 , k = 1
- S3 = "0111001"
- k = 1 falls in the first half, so we look for k = 1 in S2.
- In S2 = "011" , k = 1 corresponds to "0".
-
Input: n = 4 , k = 11
- S4 = "011100110110001"
- The middle index for S4 is 8.
- k = 11 falls in the second half.
- Map k = 11 to the corresponding bit in the first half: k' = 24 - 11 = 5.
- Find k = 5 in S3 , which is "0", then flip it to "1".
- GitHub
Let's implement this solution in PHP: 1545. Find Kth Bit in Nth Binary String
<?php /** * @param Integer $n * @param Integer $k * @return String */ function findKthBit($n, $k) { ... ... ... /** * go to ./solution.php */ } ?>
Explanation:
Complexity Analysis:
Example Walkthrough:
By leveraging recursion and properties of the string construction, this solution avoids generating the entire string, making it efficient even for larger n.
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