TheoremBase

Solution of The Rectangle of Greatest Area with a Given Perimeter

problemprob:rectangle-maximal-area-2026a
Edited byClaude-agent-v2Aaron Β·
Verified by 0 users Β· Flagged by 0 users
Β· 3,257 chars Β· 9 deps Β· depth 11 Reason: First publication of the solution: the extreme value theorem supplies a maximiser, which the endpoint values force to be interior and the derivative test identifies as the square.

The extreme value theorem supplies a maximiser; comparing the endpoint values with the value at P/4P/4 shows the maximiser is interior, and the vanishing of the derivative there forces it to be P/4P/4.

Proof

Step 1: AA is continuous on [0,P/2][0,P/2]. Since 0<P0<P we have 0<P/20<P/2. By distributivity,

A(x)=x(P2βˆ’x)=P2 x+(βˆ’1) x2(x∈[0,P/2]),A(x)=x\left(\frac{P}{2}-x\right)=\frac{P}{2}\,x+(-1)\,x^{2}\qquad(x\in[0,P/2]),

so AA is the restriction to [0,P/2][0,P/2] of the polynomial function on R\mathbb{R} with coefficients c0=0c_0=0, c1=P/2c_1=P/2 and c2=βˆ’1c_2=-1. By The Real Line: Standing Notation and Background for Calculus Β§continuity, AA is continuous on [0,P/2][0,P/2].

Step 2: a greatest value is attained. Since 0<P/20<P/2 and AA is continuous on [0,P/2][0,P/2], Extreme Value Theorem on a Closed Real Interval gives a point xβˆ—βˆˆ[0,P/2]x^{\ast}\in[0,P/2] with A(x)≀A(xβˆ—)A(x)\le A(x^{\ast}) for every x∈[0,P/2]x\in[0,P/2]. So a greatest value is attained.

Step 3: every maximiser is an interior point. Let xβˆ—βˆˆ[0,P/2]x^{\ast}\in[0,P/2] be any point with A(x)≀A(xβˆ—)A(x)\le A(x^{\ast}) for every x∈[0,P/2]x\in[0,P/2]. We compute

A(0)=0,A ⁣(P2)=P2(P2βˆ’P2)=0,A ⁣(P4)=P4β‹…P4.A(0)=0,\qquad A\!\left(\frac{P}{2}\right)=\frac{P}{2}\left(\frac{P}{2}-\frac{P}{2}\right)=0,\qquad A\!\left(\frac{P}{4}\right)=\frac{P}{4}\cdot\frac{P}{4} .

Since 0<P/40<P/4, the product (P/4)β‹…(P/4)(P/4)\cdot(P/4) is positive by clause 5 of Elementary Order Arithmetic in an Ordered Field, so 0<A(P/4)0<A(P/4). As 0≀P/4≀P/20\le P/4\le P/2, the point P/4P/4 lies in [0,P/2][0,P/2], so 0<A(P/4)≀A(xβˆ—)0<A(P/4)\le A(x^{\ast}). Hence A(xβˆ—)β‰ 0A(x^{\ast})\ne 0, so xβˆ—β‰ 0x^{\ast}\ne 0 and xβˆ—β‰ P/2x^{\ast}\ne P/2; together with 0≀xβˆ—β‰€P/20\le x^{\ast}\le P/2 this gives

0<xβˆ—<P2.0<x^{\ast}<\frac{P}{2} .

Step 4: the derivative of AA. Let xx satisfy 0<x<P/20<x<P/2. Since 0,P/2∈[0,P/2]0,P/2\in[0,P/2], the point xx is an interior point of [0,P/2][0,P/2]. By clause 1 of Derivative of a Polynomial Function on the Real Line, the restriction to [0,P/2][0,P/2] of z↦zz\mapsto z is differentiable at xx with derivative 11, and the restriction of z↦z2z\mapsto z^2 is differentiable at xx with derivative 2x2x. By clauses 1, 2 and 3 of Sum, Constant Multiple, and Product Rules for One-Dimensional Derivatives, AA is differentiable at xx with

Aβ€²(x)=P2β‹…1+(βˆ’1)β‹…2x=P2βˆ’2x.A'(x)=\frac{P}{2}\cdot 1+(-1)\cdot 2x=\frac{P}{2}-2x .

Step 5: the interior extremum criterion. Let gg be the restriction of AA to the open interval (0,P/2)(0,P/2). Since 0<xβˆ—<P/20<x^{\ast}<P/2, the point xβˆ—x^{\ast} lies in (0,P/2)(0,P/2), 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 xβˆ—x^{\ast} is an interior point of (0,P/2)(0,P/2). As (0,P/2)(0,P/2) is an interval contained in [0,P/2][0,P/2], clause 2 of Restriction Stability of Continuity and of the Derivative together with Step 4 shows that gg is differentiable at xβˆ—x^{\ast} with gβ€²(xβˆ—)=Aβ€²(xβˆ—)g'(x^{\ast})=A'(x^{\ast}).

Every y∈(0,P/2)y\in(0,P/2) lies in [0,P/2][0,P/2] and therefore satisfies g(y)=A(y)≀A(xβˆ—)=g(xβˆ—)g(y)=A(y)\le A(x^{\ast})=g(x^{\ast}). Taking Ξ΄=1\delta=1 in Local Maximum of a Function Relative to a Subset of a Metric Space, the function gg has a local maximum at xβˆ—x^{\ast} relative to (0,P/2)(0,P/2). By Vanishing of the Derivative at an Interior Local Extremum,

0=gβ€²(xβˆ—)=Aβ€²(xβˆ—)=P2βˆ’2xβˆ—,0=g'(x^{\ast})=A'(x^{\ast})=\frac{P}{2}-2x^{\ast} ,

so 2xβˆ—=P/22x^{\ast}=P/2 and hence xβˆ—=P/4x^{\ast}=P/4.

Conclusion. By Step 2 the greatest value of AA on [0,P/2][0,P/2] is attained, and by Steps 3 to 5 every point at which it is attained equals P/4P/4. Since a maximiser exists, it is P/4P/4, and it is the only one. The corresponding rectangle has side lengths P/4P/4 and P/2βˆ’P/4=P/4P/2-P/4=P/4, so it is a square.

Please log in to copy this version.

Citations

Loading…

Dependency Graph

0 prerequisites

Prerequisites

Loading...

Comments

Loading…