My first instinct was to brute force it: for each k, slide a window of size k and check if the min is 1 and max is k with no gaps.
Track the minimum and maximum positions of values 1..k as you iterate k from 1 to n. For each k, check if the span (maxPos - minPos + 1) equals k; if so, the subarray between those positions contains exactly k elements, and since it includes all values 1..k, it must be exactly the set {1..k}. This yields an O(n) solution.
Pro tip: Mention that the condition span == k is both necessary and sufficient: if the span equals k, the subarray has k distinct elements all within 1..k, so it must be exactly {1..k}. This avoids any need for explicit set checking.
Clarify that a value k is balanced if there exists a contiguous subarray containing exactly the numbers 1 through k. Note that the subarray must have length k and contain all these values.
Realize that for a given k, the only possible subarray that can contain all values 1..k is the one spanning from the minimum position to the maximum position among these values. If its length equals k, it must be exactly the set {1..k}.
Create an array pos where pos[v] is the index of value v. Iterate k from 1 to n, maintaining minPos and maxPos of values seen so far. For each k, check if maxPos - minPos + 1 == k; if yes, mark balanced.
Initialize a string of length n with '0's. For each k that satisfies the condition, set the k-th character to '1'. Return the string.
The algorithm runs in O(n) time and O(n) space. Handle n=1 correctly (always balanced). Discuss why the condition is sufficient and necessary.
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