
Problem Statement
Given an integer array nums
which has a length n
and is a permutation of all integers within the range [0, n - 1]
, we are tasked with analyzing two types of inversion counts within this array:
Global Inversions: These are counted by determining the number of pairs
(i, j)
such that0 <= i < j < n
andnums[i] > nums[j]
. This essentially tallies how many times a larger number appears before a smaller number throughout the entire array.Local Inversions: This count focuses on immediate adjacencies within the array, specifically counting the instances where for a particular index
i
(where0 <= i < n - 1
), the elementnums[i]
is greater than the element directly following it,nums[i + 1]
.
The core question posed by the problem is to return true
if and only if the number of global inversions exactly matches the number of local inversions.
Examples
Example 1
Input:
nums = [1,0,2]
Output:
true
Explanation:
There is 1 global inversion and 1 local inversion.
Example 2
Input:
nums = [1,2,0]
Output:
false
Explanation:
There are 2 global inversions and 1 local inversion.
Constraints
n == nums.length
1 <= n <= 105
0 <= nums[i] < n
- All the integers of
nums
are unique. nums
is a permutation of all the numbers in the range[0, n - 1]
.
Approach and Intuition
To solve this problem, understanding the relationship and the distinction between global and local inversions is crucial:
Every local inversion is inherently a global inversion since it involves a pair of consecutive elements where the previous is greater than the next. Therefore, any pair
(i, i+1)
contributing to local inversion also contributes to global inversion.However, not all global inversions are local. A global inversion involving non-consecutive elements (e.g.,
i
andj
wherej > i + 1
) is not counted in local inversions.
Given these relationships, the problem can be reduced to checking if there exists any global inversion that is not a local inversion. If such an inversion exists, then the number of global inversions would be greater than the number of local inversions, leading to a return of false
. Conversely, if every global inversion is also a local inversion (hence no "non-local" global inversions exist), the array likely has some characteristics of a nearly sorted list where elements do not jump over each other by more than one position.
When examining example cases:
- For
nums = [1,0,2]
, the only inversion is between the first two elements, which is both a local and a global inversion (total of one each), making the condition true. - For
nums = [1,2,0]
, besides the local inversion between the last two elements (2 > 0
), there exists a non-local global inversion between the first and last elements (1 > 0
), causing the total global inversions to exceed local inversions, thus returning false.
Understanding this, a strategic approach might be to parse through the list and ascertain that no element is out of place relative to another by more than one position. Otherwise, a more in-depth calculation of all pairs might be necessary, though likely inefficient given potential constraints.
Solutions
- Java
class Solution {
public boolean checkPerfectPermutation(int[] nums) {
for (int index = 0; index < nums.length; ++index)
if (Math.abs(nums[index] - index) > 1)
return false;
return true;
}
}
The solution addresses the problem of checking if the number of global inversions is equal to the number of local inversions in an array. Here's a breakdown of what the Java code does:
- Define a method
checkPerfectPermutation
that takes an array of integers as its parameter. - Iterate through the array using a
for
loop whereindex
ranges from 0 to the length of the array minus one. - Within the loop, check if the absolute difference between the current element (
nums[index]
) and the current index exceeds 1. If this condition is true for any element, the function returnsfalse
, indicating that the permutation is not perfect. - If no such condition is satisfied for any element in the array, return
true
after the loop completes. This indicates that the permutation is perfect, meaning the number of global inversions equals the number of local inversions.
Thus, this code efficiently determines whether all inversions that exist are local by ensuring that each element in the array is not more than one position away from its value as an index. If this condition is met, then there are no extra global inversions.
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