Two Pointer Technique on Arrays in DSA C# - Time & Space Complexity

Time Complexity: Two Pointer Technique on Arrays

O(n)

Understanding Time Complexity

We want to understand how fast the two pointer technique works on arrays.

How does the time needed grow as the array gets bigger?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

int left = 0, right = arr.Length - 1;
while (left < right) {
    if (arr[left] + arr[right] == target) {
        // found pair
        break;
    } else if (arr[left] + arr[right] < target) {
        left++;
    } else {
        right--;
    }
}
    

This code uses two pointers moving from both ends to find a pair that sums to a target.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: The while loop moving pointers left and right.
• How many times: Each pointer moves at most the length of the array once.

How Execution Grows With Input

As the array size grows, the total steps grow roughly in a straight line.

Input Size (n)	Approx. Operations
10	About 10 steps
100	About 100 steps
1000	About 1000 steps

Pattern observation: The steps increase directly with input size, not faster or slower.

Final Time Complexity

Time Complexity: O(n)

This means the time needed grows in a straight line with the array size.

Common Mistake

[X] Wrong: "The two pointer method is like nested loops, so it must be O(n²)."

[OK] Correct: Actually, each pointer moves only forward once, so total steps add up to n, not n times n.

Interview Connect

Understanding this technique helps you solve many array problems efficiently and shows you can write fast code.

Self-Check

"What if the array was not sorted? How would the time complexity change?"

Practice

1. What is the main idea behind the Two Pointer Technique when used on arrays?

easy

A. Use two indices to traverse the array from different ends or positions simultaneously

B. Use one pointer to traverse and another to store values

C. Sort the array first and then use binary search

D. Use recursion to split the array into two parts

Solution

1. Step 1: Understand the two pointer approach

   The technique uses two pointers (indices) to scan the array from different positions, often from start and end. This helps solve problems efficiently by reducing the number of iterations compared to nested loops.

2. Final Answer:

   Use two indices to traverse the array from different ends or positions simultaneously -> Option A

3. Quick Check:

   Two pointers move from different ends = D [OK]

Hint: Two pointers move from start and end to meet in middle [OK]

Common Mistakes:

• Thinking it always requires sorting first
• Using only one pointer instead of two
• Confusing with recursion or binary search

2. Which of the following is the correct syntax to initialize two pointers left and right for an array arr in C#?

easy

A. int left = -1, right = arr.Length + 1;

B. int left = 1, right = arr.Length;

C. int left = arr.Length, right = 0;

D. int left = 0, right = arr.Length - 1;

Solution

1. Step 1: Understand array indexing and initialize pointers correctly

   Arrays start at index 0 and end at index Length - 1. Left pointer starts at 0 (first element), right pointer at Length - 1 (last element).

2. Final Answer:

   int left = 0, right = arr.Length - 1; -> Option D

3. Quick Check:

   Start at 0 and end at Length-1 = A [OK]

Hint: Start left at 0, right at length minus one [OK]

Common Mistakes:

• Starting right pointer at arr.Length (out of bounds)
• Starting left pointer at 1 instead of 0
• Using negative indices

3. What will be the output of the following C# code?

int[] arr = {1, 2, 3, 4, 5, 6};
int left = 0, right = arr.Length - 1;
int sum = 0;
while (left < right) {
    sum += arr[left] + arr[right];
    left++;
    right--;
}
Console.WriteLine(sum);

medium

A. 21

B. 18

C. 20

D. 15

Solution

1. Step 1: Trace the loop iterations

   Pairs added: (1+6)=7, (2+5)=7, (3+4)=7; sum = 7+7+7 = 21. Loop runs while left < right, so stops after these pairs.

2. Final Answer:

   21 -> Option A

3. Quick Check:

   Sum of pairs from ends = 21 [OK]

Hint: Sum pairs from ends until pointers meet [OK]

Common Mistakes:

• Adding elements twice
• Loop running when left equals right
• Incorrect sum calculation

4. Identify the error in the following C# code using two pointers to find if array arr contains two numbers that sum to target.

int left = 0, right = arr.Length - 1;
while (left <= right) {
    int sum = arr[left] + arr[right];
    if (sum == target) return true;
    else if (sum < target) left++;
    else right--;
}
return false;

medium

A. The sum calculation is incorrect

B. The pointers should both start at 0

C. The loop condition should be left < right instead of left <= right

D. The return statements are missing a value

Solution

1. Step 1: Analyze loop condition

   Using left <= right allows pointers to be equal, causing sum of same element twice. Change to left < right to avoid using the same element twice.

2. Final Answer:

   The loop condition should be left < right instead of left <= right -> Option C

3. Quick Check:

   Pointers must not cross or equal for two distinct elements [OK]

Hint: Use left < right to avoid same element twice [OK]

Common Mistakes:

• Allowing pointers to be equal causing wrong sums
• Starting both pointers at 0
• Misplacing return statements

5. Given a sorted array arr and a number k, how can you use the two pointer technique to find if there exists a pair with sum equal to k? Choose the correct approach.

hard

A. Initialize both pointers at start; move both right until sum equals k

B. Initialize two pointers at start and end; move left pointer right if sum < k, else move right pointer left

C. Initialize two pointers at middle; move both outward until sum equals k

D. Sort the array again and use binary search for each element

Solution

1. Step 1: Set pointers and move based on sum

   Left pointer at 0, right pointer at last index. If sum < k, move left right to increase sum; if sum > k, move right left to decrease sum.

2. Final Answer:

   Initialize two pointers at start and end; move left pointer right if sum < k, else move right pointer left -> Option B

3. Quick Check:

   Two pointers adjust to reach target sum efficiently [OK]

Hint: Move pointers inward based on sum comparison [OK]

Common Mistakes:

• Starting both pointers at same side
• Moving pointers in wrong direction
• Sorting array again unnecessarily