Check If a Number Is Majority Element in a Sorted Array
We can solve this problem by following these steps:
Calculate the Majority Threshold: Determine the number of times the target element must appear to be a majority. This will be more than half the length of the array.
Count the Occurrences of the Target: Since the array is sorted, we can quickly count how many times the target appears in the array.
Compare the Count with the Threshold: Compare the count of occurrences with the threshold to determine if the target is a majority element.
Python solution:


Explanation:
 The loop iterates through the array until it either finds enough occurrences of the target to determine it’s a majority or until it encounters a number greater than the target.
 The majority_threshold is set as half the length of the array, and the target must appear more times than this threshold to be considered a majority.
 If the loop completes without finding enough occurrences of the target, the function returns
False
.
The time complexity of this approach is O(n), where n is the length of the array. Since the array is sorted, we can optimize this further by using binary search, but the given code is simple and understandable for beginners.