Minkowski’s Inequality
We continue our project to show that the spaces are actually Banach spaces with Minkowski’s inequality. This will allow us to conclude that
is a normed vector space. It states that if
and
are both in
, then their sum
is in
, and we have the inequality
We start by considering Hölder’s inequality in a toy space I’ll whip up right now. Take two isolated points, and let each one have measure ; the whole space of both points has measure
. A function is just an assignment of a pair of real values
, and integration just means adding them together. Hölder’s inequality for this space tells us that
where and
are Hölder-conjugate to each other. We can set
,
, and
and use this inequality to find
Dividing out and raising both sides to the
th power, we conclude that
. Thus if both
and
are integrable, then so is
. Thus
must be in
.
Now we calculate
Dividing out by we find that
This lets us conclude that is a vector space. But we can also verify the triangle identity now. Indeed, if
,
, and
are all in
, then Minkowski’s inequality shows us that
which is exactly the triangle inequality we want. Thus is a norm, and
is a normed vector space.
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