Difference between revisions of "SFMT"

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(Example Problems)
 
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== Example Problems ==
 
== Example Problems ==
 
=== Problem 1 ===
 
=== Problem 1 ===
Given nonnegative integer x, y, z such that <math>x+y+z=16,</math> find the maximum value <math>x^3y^2z^3.</math>
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Given nonnegative integers <math>x, y, z</math> such that <math>x+y+z=16,</math> find the maximum value <math>x^3y^2z^3.</math>
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=== Solution 1 ===
 
=== Solution 1 ===
By the new theorem, we know that <math>\dfrac{x}{3}=\dfrac{y}{2}=\dfrac{z}{3},</math> so x=6, y=4, z=6. Plugging it in, our answer is <math>746496.</math>
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By the new theorem, we know that <math>\dfrac{x}{3}=\dfrac{y}{2}=\dfrac{z}{3},</math> so <math>x=6, y=4, z=6.</math> Plugging it in, our answer is <math>746496.</math>
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== Name ==
 +
This theorem has been widely known for a while now. The AoPS user solasky rediscovered it and put a name to it. You can call it whatever you want.

Latest revision as of 00:10, 27 September 2021

Theorem

Given nonnegative real numbers $e_1, e_2, e_3, \cdots ,e_n$ and that $x_1+x_2+x_3+\cdots+x_n$ is fixed and all the terms inside the sum are nonnegative, the maximum value of $x_1^{e_1}x_2^{e_2}x_3^{e_3}\cdots x_n^{e_n}$ is when $\dfrac{x_1}{e_1}=\dfrac{x_2}{e_2}=\dfrac{x_3}{e_3}=\cdots =\dfrac{x_n}{e_n}.$

Proof

The weighted AM-GM Inequality states that if $a_1, a_2, \dotsc, a_n$ are nonnegative real numbers, and $\lambda_1, \lambda_2, \dotsc, \lambda_n$ are nonnegative real numbers (the "weights") which sum to 1, then \[\lambda_1 a_1 + \lambda_2 a_2 + \dotsb + \lambda_n a_n \ge a_1^{\lambda_1} a_2^{\lambda_2} \dotsm a_n^{\lambda_n}.\] We let $\lambda_i=\dfrac{e_i}{e_1+e_2+\cdots+e_n}$ and $a_i=\dfrac{x_i}{e_i}$ in this inequality. We get that $x_1+x_2+x_3+\cdots+x_n \ge \sqrt[n]{\dfrac{x_1^{e_1}x_2^{e_2}x_3^{e_3}\cdots x_n^{e_n}}{e_1^{e_1}e_2^{e_2}e_3^{e_3}\cdots e_n^{e_n}}}(e_1+e_2+e_3+\cdots+e_n).$ Dividing both sides and then taking to the nth power, we get $\left(\dfrac{x_1+x_2+x_3+\cdots+x_n}{e_1+e_2+e_3+\cdots+e_n}\right)^n \ge \dfrac{x_1^{e_1}x_2^{e_2}x_3^{e_3}\cdots x_n^{e_n}}{e_1^{e_1}e_2^{e_2}e_3^{e_3}\cdots e_n^{e_n}}.$Then we can multiply both sides to get $x_1^{e_1}x_2^{e_2}x_3^{e_3}\cdots x_n^{e_n} \le \left(\dfrac{x_1+x_2+x_3+\cdots+x_n}{e_1+e_2+e_3+\cdots+e_n}\right)^n (e_1^{e_1}e_2^{e_2}e_3^{e_3}\cdots e_n^{e_n}).$ The equality case for the weighted AM-GM inequality is when all the $a_i$ terms such that $e_i$ is not $0$ are equal, or in this case $\dfrac{x_1}{e_1}=\dfrac{x_2}{e_2}=\dfrac{x_3}{e_3}=\cdots=\dfrac{x_n}{e_n}.$

Example Problems

Problem 1

Given nonnegative integers $x, y, z$ such that $x+y+z=16,$ find the maximum value $x^3y^2z^3.$

Solution 1

By the new theorem, we know that $\dfrac{x}{3}=\dfrac{y}{2}=\dfrac{z}{3},$ so $x=6, y=4, z=6.$ Plugging it in, our answer is $746496.$

Name

This theorem has been widely known for a while now. The AoPS user solasky rediscovered it and put a name to it. You can call it whatever you want.