- What is an equilibrium index of an array
- How to find equilibrium index using prefix sum technique
- Optimized approach using total sum
- Time and space complexity analysis
- Real-world applications and practice problems
Introduction to Equilibrium Index
The equilibrium index of an array is an index such that the sum of elements at lower indices is equal to the sum of elements at higher indices. In other words, for an array arr[] of size n, an index i is an equilibrium index if:
Key points about equilibrium index:
- First and last positions: Index 0 is an equilibrium index if sum of all elements except first is 0. Index n-1 is an equilibrium index if sum of all elements except last is 0.
- Multiple equilibrium indices: An array can have multiple equilibrium indices.
- No equilibrium index: Some arrays may not have any equilibrium index.
- Important concept: Used in various problems like prefix sum, subarray sum, and pivot index problems.
š” Example: For array [-7, 1, 5, 2, -4, 3, 0], the equilibrium index is 3 because:
arr[0] + arr[1] + arr[2] = -7 + 1 + 5 = -1
arr[4] + arr[5] + arr[6] = -4 + 3 + 0 = -1
C Program to Find Equilibrium Index
#include <stdio.h>
// Function to find equilibrium index using total sum approach
int equilibriumIndex(int arr[], int n) {
int totalSum = 0;
// Calculate total sum of the array
for (int i = 0; i < n; i++) {
totalSum += arr[i];
}
int leftSum = 0;
// Traverse the array from left to right
for (int i = 0; i < n; i++) {
// Remove current element from total sum to get right sum
int rightSum = totalSum - leftSum - arr[i];
// Check if left sum equals right sum
if (leftSum == rightSum) {
return i; // Found equilibrium index
}
// Update left sum for next iteration
leftSum += arr[i];
}
return -1; // No equilibrium index found
}
// Function to find all equilibrium indices
void findAllEquilibriumIndices(int arr[], int n) {
int totalSum = 0;
for (int i = 0; i < n; i++) {
totalSum += arr[i];
}
int leftSum = 0;
int found = 0;
printf("Equilibrium indices: ");
for (int i = 0; i < n; i++) {
int rightSum = totalSum - leftSum - arr[i];
if (leftSum == rightSum) {
printf("%d ", i);
found = 1;
}
leftSum += arr[i];
}
if (!found) {
printf("None");
}
printf("\n");
}
// Function to print the array
void printArray(int arr[], int n) {
for (int i = 0; i < n; i++) {
printf("%d ", arr[i]);
}
printf("\n");
}
// Driver program to test the equilibrium index
int main() {
int arr1[] = {-7, 1, 5, 2, -4, 3, 0};
int n1 = sizeof(arr1) / sizeof(arr1[0]);
printf("Array 1: ");
printArray(arr1, n1);
int eqIndex1 = equilibriumIndex(arr1, n1);
if (eqIndex1 != -1) {
printf("Equilibrium index: %d\n", eqIndex1);
printf("Left sum: ");
for (int i = 0; i < eqIndex1; i++) {
printf("%d ", arr1[i]);
}
printf("= %d\n", eqIndex1);
printf("Right sum: ");
for (int i = eqIndex1 + 1; i < n1; i++) {
printf("%d ", arr1[i]);
}
printf("= %d\n", eqIndex1);
} else {
printf("No equilibrium index found.\n");
}
printf("\n");
int arr2[] = {1, 2, 3, 4, 5, 6};
int n2 = sizeof(arr2) / sizeof(arr2[0]);
printf("Array 2: ");
printArray(arr2, n2);
findAllEquilibriumIndices(arr2, n2);
printf("\n");
int arr3[] = {0, 0, 0, 0};
int n3 = sizeof(arr3) / sizeof(arr3[0]);
printf("Array 3: ");
printArray(arr3, n3);
findAllEquilibriumIndices(arr3, n3);
return 0;
}
Sample Output
Array 1: -7 1 5 2 -4 3 0 Equilibrium index: 3 Left sum: -7 1 5 = -1 Right sum: -4 3 0 = -1 Array 2: 1 2 3 4 5 6 Equilibrium indices: None Array 3: 0 0 0 0 Equilibrium indices: 0 1 2 3
Another Example:
Array: 1 3 5 2 2 Equilibrium index: 2 Left sum: 1 + 3 = 4 Right sum: 2 + 2 = 4
Program Explanation
Let's break down the code step by step:
- Include Header File:
#include <stdio.h>includes the standard input/output library. - Equilibrium Index Function:
- Step 1: Calculate total sum of the array using a loop
- Step 2: Initialize
leftSum = 0 - Step 3: Traverse the array from left to right:
- Calculate
rightSum = totalSum - leftSum - arr[i] - If
leftSum == rightSum, returni - Add current element to
leftSum
- Calculate
- Step 4: Return -1 if no equilibrium index is found
- Find All Equilibrium Indices Function:
- Uses the same approach but stores and prints all indices
- Useful when multiple equilibrium indices exist
- Print Function: Displays all elements of the array.
- Main Function:
- Tests the algorithm on different arrays
- Demonstrates both single and multiple equilibrium index scenarios
- Displays left and right sums for verification
š Key Insight: The total sum approach is optimal because it avoids calculating the sum of left and right parts separately for each index. We maintain a running left sum and derive the right sum from the total sum.
Step-by-Step Approach
| Step | Action | Explanation |
|---|---|---|
| 1 | Calculate Total Sum | Find sum of all elements in the array |
| 2 | Initialize Left Sum | Set leftSum = 0 (sum of elements before current index) |
| 3 | Traverse Array | For each index, calculate rightSum = totalSum - leftSum - arr[i] |
| 4 | Check Condition | If leftSum == rightSum, current index is equilibrium index |
| 5 | Update Left Sum | Add current element to leftSum for next iteration |
| 6 | Return Result | Return index if found, else -1 |
Algorithm for Equilibrium Index
- Calculate Total Sum:
totalSum = sum(arr[0] to arr[n-1])
- Initialize:
leftSum = 0
- Traverse:
- For
i = 0ton-1:rightSum = totalSum - leftSum - arr[i]- If
leftSum == rightSum: returni leftSum += arr[i]
- For
- Return: Return
-1if no equilibrium index is found
Time & Space Complexity
| Complexity | Best Case | Average Case | Worst Case |
|---|---|---|---|
| Time | O(n) | O(n) | O(n) |
| Space | O(1) - Constant space | ||
š Key Points:
- Linear time: The algorithm makes a single pass through the array
- Constant space: Only uses a few variables regardless of array size
- Optimal: O(n) is the best possible complexity as we must examine each element
š» Practice Exercise
Challenge 1: Modify the program to find the equilibrium index of an array without using the total sum (use prefix sum array).
Challenge 2: Write a program to find the pivot index of an array (similar to equilibrium index but defined differently in some contexts).
Challenge 3: Find the equilibrium index of an array with floating-point numbers.
š Click to Show Solution for Challenge 1
// Using prefix sum array
int equilibriumIndexPrefix(int arr[], int n) {
int prefixSum[n];
int totalSum = 0;
// Build prefix sum array
for (int i = 0; i < n; i++) {
totalSum += arr[i];
prefixSum[i] = totalSum;
}
for (int i = 0; i < n; i++) {
int leftSum = (i == 0) ? 0 : prefixSum[i - 1];
int rightSum = totalSum - prefixSum[i];
if (leftSum == rightSum) {
return i;
}
}
return -1;
}
š Click to Show Solution for Challenge 3
// For floating point numbers
int equilibriumIndexFloat(float arr[], int n) {
float totalSum = 0.0;
for (int i = 0; i < n; i++) {
totalSum += arr[i];
}
float leftSum = 0.0;
for (int i = 0; i < n; i++) {
float rightSum = totalSum - leftSum - arr[i];
if (leftSum == rightSum) {
return i;
}
leftSum += arr[i];
}
return -1;
}
Frequently Asked Questions
1. Can an array have multiple equilibrium indices?
Yes, an array can have multiple equilibrium indices. For example, array [0, 0, 0, 0] has equilibrium indices 0, 1, 2, and 3. Our findAllEquilibriumIndices() function handles this scenario.
2. What is the difference between equilibrium index and pivot index?
In most contexts, equilibrium index and pivot index are the same. However, in some problems, pivot index excludes the current element from the sum on either side, which is the same as our definition. The term "pivot index" is often used in LeetCode problems.
3. Can the equilibrium index be the first or last element?
Yes! The first element (index 0) is an equilibrium index if the sum of all elements except the first is 0. Similarly, the last element (index n-1) is an equilibrium index if the sum of all elements except the last is 0.
4. What is the time complexity of the naive approach?
The naive approach (calculating left and right sums for each index) would be O(n²). Our approach using total sum reduces it to O(n), which is optimal for this problem.
5. What are the real-world applications of equilibrium index?
Equilibrium index is used in:
- Finding pivot points in financial data
- Load balancing in distributed systems
- Prefix sum problems and subarray sum queries
- Split arrays into equal-sum subarrays
š” Pro Tip: Always consider edge cases like empty arrays, arrays with negative numbers, and arrays with all zeros when implementing equilibrium index algorithms.