Recursion on Arrays and Strings in DSA Java - Time & Space Complexity

Time Complexity: Recursion on Arrays and Strings

O(n)

Understanding Time Complexity

When using recursion on arrays or strings, it is important to understand how the number of steps grows as the input size increases.

We want to know how many times the function calls itself and processes parts of the input.

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

public int sumArray(int[] arr, int index) {
    if (index == arr.length) {
        return 0;
    }
    return arr[index] + sumArray(arr, index + 1);
}
    

This code calculates the sum of all elements in an array using recursion by moving from the current index to the end.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Recursive call that processes one element of the array at a time.
• How many times: Once for each element in the array, so n times if the array length is n.

How Execution Grows With Input

Each recursive call handles one element, so the total steps grow directly with the array size.

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

Pattern observation: The number of operations grows linearly as the input size increases.

Final Time Complexity

Time Complexity: O(n)

This means the time to complete grows in direct proportion to the size of the array.

Common Mistake

[X] Wrong: "Recursion here is faster because it avoids loops."

[OK] Correct: Both recursion and loops here do the same amount of work; recursion just uses function calls instead of explicit loops.

Interview Connect

Understanding how recursion processes each element helps you explain your code clearly and reason about efficiency in interviews.

Self-Check

"What if we changed the recursion to process two elements per call instead of one? How would the time complexity change?"

Practice

1. What does a recursive function on an array typically do to process the elements?

easy

A. It calls itself with a smaller part of the array until a base case is reached

B. It uses loops to iterate over the array elements

C. It modifies the array without calling itself

D. It sorts the array before processing

Solution

1. Step 1: Understand recursion on arrays

   Recursive functions reduce the problem size by calling themselves with smaller parts of the array.

2. Step 2: Identify base case and recursive call

   The function stops when the array part is empty or has one element (base case), otherwise it calls itself with a smaller array.

3. Final Answer:

   It calls itself with a smaller part of the array until a base case is reached -> Option A

4. Quick Check:

   Recursion = smaller problem calls [OK]

Hint: Recursion breaks problem into smaller parts until simple case [OK]

Common Mistakes:

• Thinking recursion uses loops instead of self-calls
• Ignoring the base case in recursion
• Assuming recursion sorts the array automatically

2. Which of the following is the correct syntax to define a recursive method in Java that takes an integer array and an index as parameters?

easy

A. void recurse(int arr[], index int) { ... }

B. public void recurse(int[] arr, int index) { ... }

C. public int recurse(int arr, int index) { ... }

D. public void recurse(int[] arr; int index) { ... }

Solution

1. Step 1: Check Java method syntax

   Java methods require return type, method name, and parameters with types and commas.

2. Step 2: Validate parameter types and order

   public void recurse(int[] arr, int index) { ... } correctly uses 'int[] arr' and 'int index' separated by a comma and proper method signature.

3. Final Answer:

   public void recurse(int[] arr, int index) { ... } -> Option B

4. Quick Check:

   Java method syntax = returnType name(type1 param1, type2 param2) [OK]

Hint: Remember Java method parameters need types and commas [OK]

Common Mistakes:

• Using wrong parameter order or missing commas
• Incorrect array parameter syntax
• Missing return type in method definition

3. What will be the output of the following Java code?

public class Test {
  public static void printArray(int[] arr, int index) {
    if (index == arr.length) return;
    System.out.print(arr[index] + " ");
    printArray(arr, index + 1);
  }
  public static void main(String[] args) {
    int[] nums = {1, 2, 3};
    printArray(nums, 0);
  }
}

medium

A. Compilation error

B. 3 2 1

C. 1 2 3 0

D. 1 2 3

Solution

1. Step 1: Trace the recursive calls

   printArray prints arr[index] then calls itself with index+1 until index equals arr.length (3).

2. Step 2: Output elements in order

   It prints 1, then 2, then 3, then stops without extra output.

3. Final Answer:

   1 2 3 -> Option D

4. Quick Check:

   Recursion prints array elements in order [OK]

Hint: Recursion prints then calls next index until end [OK]

Common Mistakes:

• Expecting reverse order output
• Thinking extra elements print after recursion ends
• Confusing base case condition

4. Identify the error in this recursive method that tries to sum elements of an integer array:

public int sumArray(int[] arr, int index) {
  if (index > arr.length) return 0;
  return arr[index] + sumArray(arr, index + 1);
}

medium

A. Array parameter should be List<Integer>

B. Method should return void instead of int

C. Base case condition should be index >= arr.length

D. Recursive call should use index - 1

Solution

1. Step 1: Check base case condition

   Index should stop recursion when it reaches arr.length, so condition must be index >= arr.length.

2. Step 2: Understand array bounds

   Using index > arr.length allows index == arr.length, which causes ArrayIndexOutOfBoundsException.

3. Final Answer:

   Base case condition should be index >= arr.length -> Option C

4. Quick Check:

   Base case must prevent out-of-bounds access [OK]

Hint: Base case index must not exceed array length [OK]

Common Mistakes:

• Using wrong base case condition causing runtime error
• Changing return type incorrectly
• Incorrect recursive index update

5. Given a string, write a recursive method to check if it is a palindrome (reads the same forwards and backwards). Which approach correctly describes the recursion?

hard

A. Compare first and last characters, then recurse on substring excluding them

B. Reverse the string using recursion and compare with original

C. Count characters recursively and check if count is even

D. Use recursion to sort characters and check equality

Solution

1. Step 1: Understand palindrome check logic

   Check if first and last characters match, then check the substring inside recursively.

2. Step 2: Identify correct recursive approach

   Compare first and last characters, then recurse on substring excluding them matches this logic, reducing problem size each call until base case (empty or one char string).

3. Final Answer:

   Compare first and last characters, then recurse on substring excluding them -> Option A

4. Quick Check:

   Palindrome recursion = compare ends, recurse inside substring [OK]

Hint: Check ends match, then recurse inside substring [OK]

Common Mistakes:

• Trying to reverse string recursively instead of comparing ends
• Counting characters instead of comparing
• Sorting characters which changes original order