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 substituting | + | So all the terms except for the <math>1</math> are of the second degree. We substituting |
− | . The inequality still gives a non-homogeneous inequality. | + | <math>a+b+c</math> for <math>1</math>. The inequality still gives a non-homogeneous inequality. |
− | it second degree and get < | + | 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 | inequality and simplifying gives <math>a^2+b^2+c^2\ge ab+bc+ca</math>, which is well-known by |
Revision as of 20:57, 22 January 2014
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 substituting
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 Cauchy-Schwarz 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.
This article is a stub. Help us out by expanding it.