Modular Arithmetic Basics in DSA Typescript - Time & Space Complexity

Time Complexity: Modular Arithmetic Basics

O(1)

Understanding Time Complexity

We want to understand how long modular arithmetic operations take as numbers get bigger.

How does the time to compute remainders or modular sums change with input size?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

function modAdd(a: number, b: number, m: number): number {
  return ((a % m) + (b % m)) % m;
}

function modMultiply(a: number, b: number, m: number): number {
  return ((a % m) * (b % m)) % m;
}
    

This code calculates modular addition and multiplication of two numbers.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: The modulo (%) operation and basic arithmetic (+, *)
• How many times: Each operation runs a fixed number of times (once per call), no loops or recursion.

How Execution Grows With Input

Since the operations do not repeat or loop, the time stays about the same no matter how big the numbers are.

Input Size (number size)	Approx. Operations
10	3 modulo and arithmetic operations
100	3 modulo and arithmetic operations
1000	3 modulo and arithmetic operations

Pattern observation: The number of operations does not grow with input size; it stays constant.

Final Time Complexity

Time Complexity: O(1)

This means the time to do modular addition or multiplication stays the same no matter how big the numbers are.

Common Mistake

[X] Wrong: "Modular arithmetic takes longer as numbers get bigger because the numbers are bigger."

[OK] Correct: The modulo operation runs in constant time on fixed-size numbers, so the time does not increase with number size in typical programming languages.

Interview Connect

Understanding that modular arithmetic operations run in constant time helps you reason about algorithms that use these operations repeatedly, like hashing or cryptography.

Self-Check

"What if we had to compute modular exponentiation by repeated multiplication? How would the time complexity change?"

Practice

1. What is the result of 7 % 3 in modular arithmetic?

easy

A. 2

B. 1

C. 3

D. 0

Solution

1. Step 1: Understand the modulo operation

   The modulo operator (%) gives the remainder when the first number is divided by the second.

2. Step 2: Calculate 7 % 3

   7 divided by 3 is 2 with a remainder of 1, but since 7 = 3*2 + 1, the remainder is 1.

3. Final Answer:

   1 -> Option A

4. Quick Check:

   7 % 3 = 1 [OK]

Hint: Modulo gives remainder after division [OK]

Common Mistakes:

• Confusing remainder with quotient
• Thinking modulo returns division result
• Mixing up dividend and divisor

2. Which of the following is the correct TypeScript syntax to compute the remainder of a divided by b?

easy

A. let result = a % b;

B. let result = a / b;

C. let result = a mod b;

D. let result = a & b;

Solution

1. Step 1: Recall TypeScript modulo operator

   In TypeScript, the modulo operator is represented by the percent sign (%).

2. Step 2: Identify correct syntax

   let result = a % b; uses a % b, which correctly computes the remainder.

3. Final Answer:

   let result = a % b; -> Option A

4. Quick Check:

   Modulo operator is % in TypeScript [OK]

Hint: Use % for modulo in TypeScript [OK]

Common Mistakes:

• Using / instead of %
• Using 'mod' keyword which doesn't exist
• Using bitwise & operator by mistake

3. What is the output of the following TypeScript code?

const a = 14;
const b = 5;
console.log(a % b);

medium

A. 3

B. 4

C. 2

D. 0

Solution

1. Step 1: Calculate 14 % 5

   Divide 14 by 5: 5 * 2 = 10, remainder is 14 - 10 = 4.

2. Step 2: Confirm output

   The console.log prints the remainder, which is 4.

3. Final Answer:

   4 -> Option B

4. Quick Check:

   14 % 5 = 4 [OK]

Hint: Modulo is remainder after division [OK]

Common Mistakes:

• Calculating quotient instead of remainder
• Mixing up operands order
• Assuming modulo returns division result

4. Identify the error in this TypeScript code snippet that tries to compute modulo:

function mod(a: number, b: number): number {
  return a % b;
}

console.log(mod(10, 0));

medium

A. Syntax error due to missing semicolon

B. No error, outputs 0

C. Runtime error: division by zero

D. Returns NaN without error

Solution

1. Step 1: Analyze modulo with zero divisor

   In TypeScript/JavaScript, modulo by zero returns NaN and does NOT throw a runtime error.

2. Step 2: Understand error behavior

   Calling mod(10, 0) computes 10 % 0 which is NaN, and console.log prints NaN.

3. Final Answer:

   Returns NaN without error -> Option D

4. Quick Check:

   10 % 0 = NaN [OK]

Hint: Modulo by zero returns NaN in TypeScript [OK]

Common Mistakes:

• Thinking modulo by zero causes runtime error
• Assuming modulo by zero returns 0
• Confusing with languages that raise exceptions

5. You want to find the remainder when the sum of two large numbers a = 123456789 and b = 987654321 is divided by m = 1000. Which expression correctly uses modular arithmetic to compute (a + b) % m without overflow?

hard

A. (a + b) % m

B. a % (b % m)

C. (a % m + b % m) % m

D. (a % b) + (b % m)

Solution

1. Step 1: Understand modular addition property

   Modular arithmetic allows splitting sums: (a + b) % m = ((a % m) + (b % m)) % m.

2. Step 2: Apply property to avoid overflow

   Computing (a % m + b % m) % m prevents large intermediate sums and overflow.

3. Step 3: Check other options

   (a + b) % m risks overflow; B and D misuse modulo operations.

4. Final Answer:

   (a % m + b % m) % m -> Option C

5. Quick Check:

   Use modular addition property [OK]

Hint: Add remainders then modulo again to avoid overflow [OK]

Common Mistakes:

• Directly adding large numbers before modulo
• Misusing modulo on operands incorrectly
• Ignoring overflow in large sums