Solution of The Rectangle of Greatest Area with a Given Perimeter
problemprob:rectangle-maximal-area-2026aThe extreme value theorem supplies a maximiser; comparing the endpoint values with the value at shows the maximiser is interior, and the vanishing of the derivative there forces it to be .
Step 1: is continuous on . Since we have . By distributivity,
so is the restriction to of the polynomial function on with coefficients , and . By The Real Line: Standing Notation and Background for Calculus Β§continuity, is continuous on .
Step 2: a greatest value is attained. Since and is continuous on , Extreme Value Theorem on a Closed Real Interval gives a point with for every . So a greatest value is attained.
Step 3: every maximiser is an interior point. Let be any point with for every . We compute
Since , the product is positive by clause 5 of Elementary Order Arithmetic in an Ordered Field, so . As , the point lies in , so . Hence , so and ; together with this gives
Step 4: the derivative of . Let satisfy . Since , the point is an interior point of . By clause 1 of Derivative of a Polynomial Function on the Real Line, the restriction to of is differentiable at with derivative , and the restriction of is differentiable at with derivative . By clauses 1, 2 and 3 of Sum, Constant Multiple, and Product Rules for One-Dimensional Derivatives, is differentiable at with
Step 5: the interior extremum criterion. Let be the restriction of to the open interval . Since , the point lies in , and every point of an open interval is an interior point of it by The Real Line: Standing Notation and Background for Calculus Β§intervals; so is an interior point of . As is an interval contained in , clause 2 of Restriction Stability of Continuity and of the Derivative together with Step 4 shows that is differentiable at with .
Every lies in and therefore satisfies . Taking in Local Maximum of a Function Relative to a Subset of a Metric Space, the function has a local maximum at relative to . By Vanishing of the Derivative at an Interior Local Extremum,
so and hence .
Conclusion. By Step 2 the greatest value of on is attained, and by Steps 3 to 5 every point at which it is attained equals . Since a maximiser exists, it is , and it is the only one. The corresponding rectangle has side lengths and , so it is a square.
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Prerequisites
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