# Difference between revisions of "Homogenization"

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So all the terms except for the <math>1</math> are of the second degree. We substitute <math>a+b+c</math> for <math>1</math>. The inequality still gives a non-homogeneous inequality. So instead we square the condition to make it second degree and get <cmath>a^2+b^2+c^2+2(ab+bc+ca)=1</cmath> Now plugging this for <math>1</math> in the inequality and simplifying gives <math>a^2+b^2+c^2\ge ab+bc+ca</math>, which is well-known by | So all the terms except for the <math>1</math> are of the second degree. We substitute <math>a+b+c</math> for <math>1</math>. The inequality still gives a non-homogeneous inequality. So instead we square the condition to make it second degree and get <cmath>a^2+b^2+c^2+2(ab+bc+ca)=1</cmath> Now plugging this for <math>1</math> in the inequality and simplifying gives <math>a^2+b^2+c^2\ge ab+bc+ca</math>, which is well-known by | ||

− | + | the Rearrangement Inequality. | |

## Revision as of 16:15, 10 May 2016

**Homogenizing** is a useful technique to solve certain multivariate inequalities. Given an inequality of the form , where is a homogenous polynomial (that is, the degree of any term in the polynomial is the same), then we can arbitrarily impose a restraint of one order.

## Example

If and , prove that .

## Solution

So all the terms except for the are of the second degree. We substitute for . The inequality still gives a non-homogeneous inequality. So instead we square the condition to make it second degree and get Now plugging this for in the inequality and simplifying gives , which is well-known by the Rearrangement Inequality.

We can use homogenization to help us solve these types of problems, especially inequalities. It's use is not limited. After making something homogenous we can often apply well known inequalities to solve problems.
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