Find the Only Non Repeating Element Using XOR in DSA C# - Time & Space Complexity

Time Complexity: Find the Only Non Repeating Element Using XOR

O(n)

Understanding Time Complexity

We want to know how fast we can find the single element that does not repeat in a list.

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

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

int FindUnique(int[] nums) {
    int result = 0;
    foreach (int num in nums) {
        result ^= num;
    }
    return result;
}
    

This code finds the only number that appears once while all others appear twice, using XOR.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: One loop that goes through each number once.
• How many times: Exactly once for each element in the list.

How Execution Grows With Input

As the list grows, the number of steps grows in a straight line with it.

Input Size (n)	Approx. Operations
10	10 XOR operations
100	100 XOR operations
1000	1000 XOR operations

Pattern observation: The work grows directly with the number of elements.

Final Time Complexity

Time Complexity: O(n)

This means the time to find the unique number grows in direct proportion to the list size.

Common Mistake

[X] Wrong: "Using XOR means checking pairs, so it takes more than one pass or more than linear time."

[OK] Correct: XOR combines all numbers in one pass, so it only needs to look at each number once, making it very fast.

Interview Connect

Understanding this XOR trick shows you can solve problems efficiently by using simple operations smartly, a skill valued in coding interviews.

Self-Check

"What if the list had two unique numbers instead of one? How would the time complexity change?"

Practice

1. What does the XOR operation do when applied between two identical numbers?

easy

A. It returns the number itself

B. It causes an error

C. It returns 1

D. It returns 0

Solution

1. Step 1: Understand XOR behavior on identical bits

   XOR returns 0 when both bits are the same (0 XOR 0 = 0, 1 XOR 1 = 0).

2. Step 2: Apply XOR on identical numbers

   Since all bits are identical, XOR of a number with itself results in 0.

3. Final Answer:

   It returns 0 -> Option D

4. Quick Check:

   5 XOR 5 = 0 [OK]

Hint: XOR of same numbers always zeroes out [OK]

Common Mistakes:

• Thinking XOR returns the number itself
• Confusing XOR with OR or AND
• Assuming XOR causes errors with identical inputs

2. Which of the following is the correct syntax to initialize an integer variable named result to zero in C#?

easy

A. int result => 0;

B. int result == 0;

C. int result = 0;

D. int result := 0;

Solution

1. Step 1: Recall C# variable initialization syntax

   In C#, variables are initialized using single equals sign (=) for assignment.

2. Step 2: Check each option

   int result = 0; uses correct syntax: int result = 0;. Others use invalid operators.

3. Final Answer:

   int result = 0; -> Option C

4. Quick Check:

   Correct assignment uses = in C# [OK]

Hint: Use single = for assignment in C# [OK]

Common Mistakes:

• Using double equals (==) for assignment
• Using := or => which are invalid here
• Missing semicolon at the end

3. What is the output of the following C# code?

int[] arr = {2, 3, 2, 4, 3};
int result = 0;
foreach (int num in arr) {
    result ^= num;
}
Console.WriteLine(result);

medium

A. 4

B. 3

C. 2

D. 0

Solution

1. Step 1: XOR all elements in the array

   Start with result = 0. XOR with 2 -> 0^2=2, then 3 -> 2^3=1, then 2 -> 1^2=3, then 4 -> 3^4=7, then 3 -> 7^3=4.

2. Step 2: Final XOR result is the non-repeating element

   The final result after XORing all elements is 4, which is the only non-repeating number.

3. Final Answer:

   4 -> Option A

4. Quick Check:

   Only 4 appears once, XOR result = 4 [OK]

Hint: XOR all numbers; duplicates cancel out [OK]

Common Mistakes:

• Not XORing all elements correctly
• Confusing XOR with addition
• Assuming first unique number is output

4. Identify the error in the following C# code that tries to find the only non-repeating element using XOR:

int[] arr = {1, 2, 1, 3, 2};
int result;
foreach (int num in arr) {
    result ^= num;
}
Console.WriteLine(result);

medium

A. Variable 'result' is not initialized before XOR operation

B. Using '^=' operator is incorrect for XOR in C#

C. Array syntax is invalid

D. Console.WriteLine cannot print integers

Solution

1. Step 1: Check variable initialization

   The variable 'result' is declared but not initialized before using '^=' operator, which causes a compile-time error.

2. Step 2: Correct initialization needed

   Initialize 'result' to 0 before the loop to correctly accumulate XOR results.

3. Final Answer:

   Variable 'result' is not initialized before XOR operation -> Option A

4. Quick Check:

   Uninitialized variables cause errors in C# [OK]

Hint: Always initialize variables before use [OK]

Common Mistakes:

• Forgetting to initialize variables
• Misunderstanding '^=' operator usage
• Assuming Console.WriteLine can't print ints

5. Given an array where every element appears twice except one element which appears once, how would you modify the XOR approach to find the unique element if the array is very large and you want to optimize memory usage?

hard

A. Sort the array first then scan for unique element

B. Use XOR in a single pass without extra memory

C. Use a dictionary to count occurrences

D. Copy array to a new list and remove duplicates

Solution

1. Step 1: Understand XOR single pass advantage

   XOR operation can be done in one pass over the array without extra memory, as duplicates cancel out.

2. Step 2: Avoid extra memory by not using sorting or dictionaries

   Sorting or dictionaries use extra memory or time, which is inefficient for large arrays.

3. Final Answer:

   Use XOR in a single pass without extra memory -> Option B

4. Quick Check:

   XOR single pass = memory efficient [OK]

Hint: XOR once over array; no extra memory needed [OK]

Common Mistakes:

• Using extra data structures unnecessarily
• Sorting which costs extra time and memory
• Copying arrays wastes memory