In the last post we stated and motivated a theorem characterizing the image of the Schwartz space under the Radon transform:
Theorem [Helgason-Ludwig] The Radon transform is a bijective linear map from onto
, where
if and only if
, i.e. it is smooth and all of its derivatives decay faster than any polynomial.
- It is even:
- It satisfies the “moment conditions”:
is a homogeneous polynomial of degree
in
.
Proof We need to prove the following:
is linear. This is trivial
is injective. This is a direct corollary of the Fourier Slice Theorem.
\implies Rf \in \mathcal{S}_H(\mathbb{R}\times S^{n-1})$. This was largely done in earlier posts, but we will consolidate the argument below.
, i.e. the map is surjective.
Items (1) and (2) have been proven. Let’s review the proof of (3). To see that we must show that it is a Schwartz function, it is even, and it satisfies the moment conditions.
The moment conditions follow from the definition of the Radon transform and Fubini’s theorem:
Which is a homogeneous polynomial of degree in
, so the moment conditions are satisfied.
is even because
Finally we need to show that . This is the equivalent to showing that
. Since
, we know that
, so it is smooth and with its derivatives decays faster than any polynomial (not exactly trivial, check smoothness at
). Immediately this tells us that
is smooth, and it decays faster than any polynomial is . We need to verify the decay estimates for arbitrary derivatives of
. For all
and
differential operators on
we can make the following bound:
thanks to the Fourier Slice Theorem. Here is differential operator on
given by applying
to the
variables in polar coordinates.
is the degree of
. But we know that
, so we can simplify this a bit and say there is a
such that
For bounded away from zero because
is in Schwartz and we can integrate the expression by parts:
For near zero the bound is easier, since
Proving that is surjective
Now we prove (4), for every there is an
with
. As in the last post, we define the Fourier transform of
Because is even,
is well defined. If we can show that
then we are done.
We will need to show that (1) and (2) show that
is smooth at zero. (1) is technical, and (2) is where we will use the moment conditions.
Let’s start by showing that is well behaved away from the origin. We will do this by changing between polar and rectangular coordinates. To simplify the notation, define
on
by
Now we will specify a coordinate change on part of . In the region where
define
…
Then we can use the chain rule to write
for . A different expression is needed for
. With this in hand we can make Schwartz estimates away from the origin:
using the definition of . We can show that this is bounded using the integration by parts trick we used earlier. This shows that
.
Now we will complete the proof by showing that all of the derivatives of are bounded near the origin.
Exercise Show that if a function and all of its derivatives are bounded in for all
, with bounds independent of
, then the function is smooth at zero.
We will start with our expression
and bound the terms and
separately. First note that
But thanks to the moment condition, the second integral is a homogeneous polynomial of degree 0 (i.e. a constant), so it will disappear when we apply a differential operator. Let’s make a bound.
For a first order differential operator The term
is rapidly decreasing because
is Schwartz. The term
is bounded by
. Thus we can, for example, say that
everywhere. Other first order derivatives can be bounded similarly. To bound higher derivatives we need the following.
Claim
The proof is by induction, and is left as an exercise.
Now we use the same sort of trick.
But by the moment condition, the last integrand is a polynomial of degree and will vanish when we apply a differential operator of order
. Thus we have
Now we notice that is Schwartz so we can say, for example, that
. Also,
Putting these together we see that
And we have proven that all derivatives of are bounded, completing our proof of the theorem.
Tags: lecture notes
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