Convergence in the cut norm implies convergence in L2
[[concept]]
We first show inequality (2). Using the definition of the cut norm, we have
Since we are taking the supremum, it is equivalent to taking the supremum over all
To get
- or equivalently that
We can then see that the definition becomes the absolute value of the inner product of twofunctions.
Note that
- we omit the denominator in our usual definition of the operator norm since
is bounded by and and - We can rewrite this using
to match in the definition of the norm since we are taking the supremum - For more about
spaces see wikipedia (hand wavy/cursory for this class on functional analysis details)
We can then rewrite this as
Where we get
- Note that this is a loose bound!
And this gives us the desired result for (2).
^proof-2
Proving (1) is more involved and uses more functional analysis.
Use the Riesz-Thorin interpolation theorem for complex
Where
and - with
and and .
Define operator norm$$\lvert \lvert W \rvert \rvert_{\square, \mathbb{C}} = \sup_{\begin{aligned}
f,g:[0,1] &\to \mathbb{C} \\lvert \lvert f \rvert \rvert_{\infty}, \lvert \lvert g \rvert \rvert_{\infty} &≤1 \end{aligned}} \left\lvert \int {0}^1 \int^1 W(u,v) f(u) g(v) , du , dv \right\rvert $$
So for complex functions, we can see that
We then have
Since
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Created 2025-03-26 Last Modified 2025-05-13