A rectangular garden is to be enclosed by 100 meters of fencing. If the length is at least twice the width, what is the maximum possible area?
This practical geometry problem resonates with growing interest in efficient land use, sustainable living, and space optimization—trends reflecting rising urban gardening and environmental awareness in the U.S. The challenge blends geometry with real-world constraints, making it a focused topic for curious, mobile-first users seeking clear solutions.


Why This Problem Is Gaining Attention in the U.S.
Recent spikes in interest around small-space living, home gardening, and drought-resistant landscaping highlight a shift toward resource-conscious design. Users searching for area maximization under fencing limits are naturally drawn to problems balancing geometry and practicality. This question surfaces frequently on mobile devices, indicating strong intent-driven interest. It appeals to homeowners, urban farmers, and eco-conscious planners looking for data-backed decisions about layout and resource efficiency.

Understanding the Context


How to Find the Maximum Area Under These Constraints
To maximize the area of a rectangle with a fixed perimeter, we apply the fundamental formula: perimeter = 2(length + width). Given 100 meters, this means length + width = 50. The problem specifies the length must be at least twice the width. Let width be w, then length is l ≥ 2w. Substituting into the sum: l + w = 50 → 2w ≤ l = 50 – w → 3w ≤ 50 → w ≤ 16.67 meters. This establishes the upper limit for width, ensuring the “at least twice” condition holds.


The Math Behind the Maximum Area
Area A = length × width = l × w. Since l = 50 – w (from fixed perimeter), substitute: A = (50 – w) × w = 50w – w². This is a quadratic equation reaching its peak at the vertex: w = –b/(2a) = –50/(–2) = 25. But this ideal w = 25 violates the constraint l ≥ 2w, since then l = 25, w = 25 → l/w = 1 < 2. So, the maximum occurs at the boundary where l = 2w. Substituting into perimeter: *2(2w + w) = 100 → 6w = 100 → w = 100/6 ≈ 16.67 m, l = 2w ≈ 33.33 m. Then area = 16.67 × 33.33 ≈ 555.56 square meters.

Key Insights


Common Questions About This Problem
Q: What if I ignore the “twice” rule?
Maximizing area strictly under perimeter constraint requires using all 100 meters efficiently — but ignoring real-world limits like land shape or usability reduces efficiency.