836. Rectangle Overlap
Difficulty: Easy
Topics: Mid Level, Math, Geometry, Weekly Contest 85
An axis-aligned rectangle is represented as a list [x1, y1, x2, y2], where (x1, y1) is the coordinate of its bottom-left corner, and (x2, y2) is the coordinate of its top-right corner. Its top and bottom edges are parallel to the X-axis, and its left and right edges are parallel to the Y-axis.
Two rectangles overlap if the area of their intersection is positive. To be clear, two rectangles that only touch at the corner or edges do not overlap.
Given two axis-aligned rectangles rec1 and rec2, return true if they overlap, otherwise return false.
Example 1:
- Input: rec1 = [0,0,2,2], rec2 = [1,1,3,3]
- Output: true
Example 2:
- Input: rec1 = [0,0,1,1], rec2 = [1,0,2,1]
- Output: false
Example 3:
- Input: rec1 = [0,0,1,1], rec2 = [2,2,3,3]
- Output: false
Example 4:
- Input: rec1 = [0,0,1,1], rec2 = [0,0,1,1]
- Output: true
Example 5:
- Input: rec1 = [0,0,2,2], rec2 = [1,1,1,1]
- Output: false
Example 6:
- Input: rec1 = [-5,-5,0,0], rec2 = [-3,-3,2,2]
- Output: true
Example 7:
- Input: rec1 = [0,0,3,3], rec2 = [3,3,5,5]
- Output: false
Example 8:
- Input: rec1 = [0,0,5,5], rec2 = [1,1,2,2]
- Output: true
Example 9:
- Input: rec1 = [0,0,1,2], rec2 = [1,1,2,2]
- Output: false
Example 10:
- Input: rec1 = [-2,-2,-1,-1], rec2 = [-1,-1,0,0]
- Output: false
Constraints:
rec1.length == 4rec2.length == 4-10⁹ <= rec1[i], rec2[i] <= 10⁹-
rec1andrec2represent a valid rectangle with a non-zero area.
Solution:
We determine whether two axis-aligned rectangles overlap by checking if their projections onto both the x-axis and y-axis overlap with positive length. If both projections overlap, the rectangles intersect with positive area; otherwise, they do not overlap.
Approach
-
Check X-axis overlap: Compute the intersection of the horizontal ranges
[x1, x2]of both rectangles. The overlap length is positive only whenmax(rec1[0], rec2[0]) < min(rec1[2], rec2[2]). -
Check Y-axis overlap: Compute the intersection of the vertical ranges
[y1, y2]of both rectangles. The overlap length is positive only whenmax(rec1[1], rec2[1]) < min(rec1[3], rec2[3]). -
Combine results: Rectangles overlap if and only if both the x-axis and y-axis overlaps are positive. Return
truewhen both conditions hold, otherwisefalse. -
Strict inequality: Use
<instead of<=so that rectangles touching only at edges or corners are not considered overlapping (intersection area must be positive).
Let's implement this solution in PHP: 836. Rectangle Overlap
<?php
/**
* @param Integer[] $rec1
* @param Integer[] $rec2
* @return Boolean
*/
function isRectangleOverlap(array $rec1, array $rec2): bool
{
...
...
...
/**
* go to ./solution.php
*/
}
// Test cases
echo isRectangleOverlap([0, 0, 2, 2], [1, 1, 3, 3]) ? "true" : "false"; // Output: true
echo isRectangleOverlap([0, 0, 1, 1], [1, 0, 2, 1]) ? "true" : "false"; // Output: false
echo isRectangleOverlap([0, 0, 1, 1], [2, 2, 3, 3]) ? "true" : "false"; // Output: false
echo isRectangleOverlap([0, 0, 1, 1], [0, 0, 1, 1]) ? "true" : "false"; // Output: true
echo isRectangleOverlap([0, 0, 2, 2], [1, 1, 1, 1]) ? "true" : "false"; // Output: false
echo isRectangleOverlap([-5, -5, 0, 0], [-3, -3, 2, 2]) ? "true" : "false"; // Output: true
echo isRectangleOverlap([0, 0, 3, 3], [3, 3, 5, 5]) ? "true" : "false"; // Output: false
echo isRectangleOverlap([0, 0, 5, 5], [1, 1, 2, 2]) ? "true" : "false"; // Output: true
echo isRectangleOverlap([0, 0, 1, 2], [1, 1, 2, 2]) ? "true" : "false"; // Output: false
echo isRectangleOverlap([-2, -2, -1, -1], [-1, -1, 0, 0]) ? "true" : "false"; // Output: false
?>
Explanation:
- Each rectangle is defined by its bottom-left
(x1, y1)and top-right(x2, y2)corners. - Projecting a rectangle onto the x-axis gives the interval
[x1, x2]; projecting onto the y-axis gives[y1, y2]. - Two intervals overlap with positive length when the larger of the two lower bounds is strictly less than the smaller of the two upper bounds.
- Applying this logic independently to both axes and combining with logical AND gives the correct overlap condition.
- This avoids computing the actual intersection area and works in constant time.
Complexity Analysis
-
Time Complexity:
O(1)— only a fixed number of comparisons and arithmetic operations are performed. -
Space Complexity:
O(1)— no extra data structures are used.
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