Count Inversions in Array in DSA Go - Time & Space Complexity

Time Complexity: Count Inversions in Array

O(n²)

Understanding Time Complexity

We want to understand how the time needed to count inversions in an array changes as the array grows.

How does the number of steps increase when the array gets bigger?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

func countInversions(arr []int) int {
    count := 0
    for i := 0; i < len(arr); i++ {
        for j := i + 1; j < len(arr); j++ {
            if arr[i] > arr[j] {
                count++
            }
        }
    }
    return count
}

This code counts how many pairs of elements are out of order in the array by checking every pair.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Comparing pairs of elements to check if one is greater than the other.
• How many times: The outer loop runs n times, and for each outer loop, the inner loop runs up to n times, so roughly n x n = n² times.

How Execution Grows With Input

As the array size grows, the number of comparisons grows much faster because every element is compared with many others.

Input Size (n)	Approx. Operations
10	About 45 comparisons
100	About 4,950 comparisons
1000	About 499,500 comparisons

Pattern observation: When the input size doubles, the number of operations roughly quadruples.

Final Time Complexity

Time Complexity: O(n²)

This means the time needed grows very quickly as the array gets bigger, because every element is checked against many others.

Common Mistake

[X] Wrong: "Counting inversions can be done in linear time by just scanning the array once."

[OK] Correct: Because to find all pairs out of order, you must compare many pairs, not just look at each element once.

Interview Connect

Understanding this helps you explain why some problems need more time and how to think about improving solutions, which is a valuable skill in interviews.

Self-Check

"What if we use a divide-and-conquer method like merge sort to count inversions? How would the time complexity change?"

Practice

1. What does the term inversion mean in the context of an array?

easy

A. A pair of elements where the first is smaller than the second and appears before it

B. A pair of elements where the first is greater than the second and appears before it

C. The total number of elements in the array

D. The sum of all elements in the array

Solution

1. Step 1: Understand the definition of inversion

   An inversion is a pair of elements (i, j) such that i < j but array[i] > array[j].

2. Step 2: Identify the correct description

   A pair of elements where the first is greater than the second and appears before it correctly describes this condition as the first element being greater and appearing before the second.

3. Final Answer:

   A -> Option B

4. Quick Check:

   Inversion = pair where first > second and first appears earlier [OK]

Hint: Inversion means earlier element is bigger than a later one [OK]

Common Mistakes:

• Confusing inversion with sorted order
• Thinking inversion counts equal or smaller pairs
• Mixing up element positions

2. Which of the following Go code snippets correctly declares a function to count inversions in an integer slice?

easy

A. func countInversions(arr []int) int { return 0 }

B. func countInversions(arr int[]) int { return 0 }

C. func countInversions(arr []int) void { return 0 }

D. func countInversions(arr []int) int { return "0" }

Solution

1. Step 1: Check function signature syntax in Go

   In Go, a function with an integer slice parameter and integer return type is declared as func name(arr []int) int.

2. Step 2: Validate return statement type

   func countInversions(arr []int) int { return 0 } returns an integer 0, matching the return type. Other options have syntax errors or wrong return types.

3. Final Answer:

   C -> Option A

4. Quick Check:

   Correct Go function syntax returns int [OK]

Hint: Go slices use []int, return type after params [OK]

Common Mistakes:

• Using wrong slice syntax like int[]
• Returning wrong type like string instead of int
• Using void instead of int for return type

3. What is the output of the following Go code snippet?

func main() {
    arr := []int{2, 4, 1, 3, 5}
    fmt.Println(countInversions(arr))
}

func countInversions(arr []int) int {
    count := 0
    for i := 0; i < len(arr); i++ {
        for j := i + 1; j < len(arr); j++ {
            if arr[i] > arr[j] {
                count++
            }
        }
    }
    return count
}

medium

A. 4

B. 5

C. 2

D. 3

Solution

1. Step 1: Identify all inversion pairs in the array

   Array: [2, 4, 1, 3, 5]. Inversions are (2,1), (4,1), (4,3). Total = 3.

2. Step 2: Confirm count from nested loops

   Loops check all pairs i

3. Final Answer:

   3 -> Option D

4. Quick Check:

   Inversions counted = 3 [OK]

Hint: Count pairs where earlier number is bigger [OK]

Common Mistakes:

• Counting pairs where first is smaller
• Missing some inversion pairs
• Confusing index order

4. The following Go function is intended to count inversions but has a bug. What is the bug?

func countInversions(arr []int) int {
    count := 0
    for i := 0; i <= len(arr); i++ {
        for j := i + 1; j < len(arr); j++ {
            if arr[i] > arr[j] {
                count++
            }
        }
    }
    return count
}

medium

A. The outer loop uses <= causing index out of range error

B. The inner loop starts from wrong index

C. The comparison operator should be < instead of >

D. The count variable is not initialized

Solution

1. Step 1: Analyze loop boundaries

   The outer loop runs with i <= len(arr), which means i can equal len(arr), causing arr[i] to be out of range.

2. Step 2: Identify correct loop condition

   The loop should use i < len(arr) to avoid accessing invalid index.

3. Final Answer:

   The outer loop uses <= causing index out of range error -> Option A

4. Quick Check:

   Loop index must be less than length [OK]

Hint: Loop index must be less than length, not less or equal [OK]

Common Mistakes:

• Using <= instead of < in loops
• Starting inner loop at wrong index
• Wrong comparison operator

5. Given the array [8, 4, 2, 1], which approach is the most efficient to count inversions and what is the inversion count?

hard

A. Use bubble sort swaps count; inversion count is 4

B. Use brute force nested loops; inversion count is 6

C. Use merge sort based method; inversion count is 6

D. Use quicksort partition count; inversion count is 3

Solution

1. Step 1: Understand efficient inversion counting

   Merge sort based method counts inversions in O(n log n) time, more efficient than brute force O(n²).

2. Step 2: Calculate inversion count for [8,4,2,1]

   Inversions: (8,4), (8,2), (8,1), (4,2), (4,1), (2,1) = 6 total.

3. Final Answer:

   Use merge sort based method; inversion count is 6 -> Option C

4. Quick Check:

   Merge sort counts 6 inversions efficiently [OK]

Hint: Use merge sort for fast inversion count [OK]

Common Mistakes:

• Using slow brute force for large arrays
• Miscounting inversion pairs
• Confusing inversion count with swap count