Minkowski's Inequality
Theorem1
Let’s denote as an open set, and . If then .
Explanation
This is called the reverse Minkowski’s inequality. It’s not the converse of the Minkowski’s inequality proposition, but the direction of the inequality is reversed.
The Minkowski inequality shows that when , the defined satisfies the triangle inequality and becomes the norm in the space.
However, in the case of the reverse Minkowski inequality, when , does not satisfy the definition of a norm, indicating that is not a normed space.
Proof
If , the proof is trivial, so let’s assume at least one of is not . To compute , rearrange the equation as follows:
Rearranging the equation gives us
Moreover, since we assumed that at least one of is not ,
At this point, is defined as the conjugate exponent. Therefore, if and , then ,
From the above two inequalities, we obtain:
This is a sufficient condition for the reverse Hölder’s inequality to hold.
Let and . If , , and
Then, the following inequality holds:
Let and denote ,
Similarly, let and denote ,
Substituting the above two inequalities for ,
Multiplying both sides by gives ,
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Robert A. Adams and John J. F. Foutnier, Sobolev Spaces (2nd Edition, 2003), p28 ↩︎