Lecture 60

IIT Kanpur July 201
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2 Video Views·Oct 5, 2024
Welcome back, so in the last lecture we have seen that the uniqueness of the Radon transform
that if Rf is equal to Rg then f is equal to g. Now what we are searching for is that
knowing the values of Rf which is given to us then can we reconstruct our f. So now this
is the reconstruction problem and to in order to define the reconstruction problem, so first
let us define what is the meaning of an integration over the sphere.
So, we would like to get what is the integration over sphere of a function g, what is the meaning
of that. Now what one can see is that if I take any element x in R3 then I can write
in terms of the spherical coordinate in R3 means, so this is going to if I take any point
x in R3 this is going to lie on a sphere which is centered at the origin and the radius R.
So, this will imply that x belongs to S2 of R. Now if we know that if we write it in terms
of the spherical coordinate, suppose this x is x1, x2, x3 then x1 this is equal to r
sin theta cos phi, x2 is equal to r sin theta sin phi and x3 is equal to r cos theta where
our r is the radius which is greater than 0 and theta varies over 0 to pi and phi varies
over 0 to 2 pi. So, this what we know and also in terms of the polar coordinates integral
of x dx what we can write it is in the terms of 0 to infinity, 0 to 2 pi, 0 to pi f of
r sin theta cos phi, r sin theta sin phi and r cos theta and then this Jacobian is sin theta d
theta d phi and then this is r square dr. So, now if I have a function g on S2 to C,
we define the integral S2 of g of gamma, gamma is in S2 of d sigma gamma by our definition this
is going to be 0 to 2 pi, 0 to pi g of gamma then this is sin theta d theta and then this
is d phi. This is what is our integration over the sphere will look like this is the d sigma
gamma. Okay, with this notation at place now let us try to address our reconstruction problem.
For that let us define dual Radon transform this is r star of f at a point x in R3,
this is going to be integral over S2 f of x dot gamma, gamma d sigma gamma. So,
that is what is our dual transform. So, in a sense what you can see the usual justification
for the dual is that if I look at r integral over S2 then if I take Radon transform f of t
gamma and f of t gamma then this is d sigma gamma and then this d t then if you make this write
down the definition this is p t gamma this is f of t gamma plus u d u f of t gamma d sigma gamma
of d t. So, which means if we write this as r and then this is p t gamma and f of t gamma plus u
and then integration over S2 over d gamma is nothing but r star f of r star f at x this is
and this what we know is that is essentially is R3 f of. So, in this sense with this identification
that is what it is called the dual. Now, we recall that the Laplacian is going
to be del square by del x 1 square plus del square by del x 2 square plus del square by
del x 3 square this is our Laplacian. So, with this notation the main theorem is the
reconstruction formula what it is if I have delta that means the Laplacian then r star
which is going to act on the function which is defined on r cross S2. So, that is I can
talk of r f which is a function on r cross S2 and then this is equal to minus 8 pi square
of f. So, what it says is that if I have r f then I can define the r star of r f r star of
r f at x this is going to be equal to integral over S2 r f of x dot gamma comma gamma d sigma
gamma. So, this I can say T gamma dot gamma. So, now, we can compute this thing and then
we take the Laplacian then what we are going to get is our f. So, that is what is the reconstruction
formula through radon transform. So, by looking at the images on 2 dimensional image now this
formula is going to tell us that how to reconstruct our f.
So, what is the proof we have seen that r f hat at S or xi comma gamma this is equal
gamma this is what we have already seen. Therefore, and r f we know that is a Schwarz class function
on r with all for a fixed gamma. Therefore, r f of T gamma this is going to be minus infinity
to infinity r f hat of xi comma gamma e to the power 2 pi i xi T d xi this we can write
as minus infinity to infinity f hat of xi gamma e to the power 2 pi i xi T d xi this
is our r. Therefore, r star of r f radon transform this at the point x this is going
to be integral over S 2 then r f T gamma this is going to be minus infinity to infinity
f hat of xi gamma e to the power 2 pi i x dot xi gamma then this is d xi d sigma gamma
is what by plugging in the definition of this. So, now we apply the Laplacian now all these
are nice Schwarz class function and all one can push the Laplacian inside the integral.
So, what here we get that this is minus infinity to infinity f hat of xi gamma then this is when
we take then this is going to be e to the power 2 pi i. So, minus 4 pi square xi square e to the
power 2 pi i x dot xi gamma then this is d xi d sigma gamma. We will pull out the minus 4 pi
square outside what we have got is that S 2 minus infinity to infinity f hat of xi gamma then this
is e to the power 2 pi i x dot xi gamma then this is xi square d xi and d sigma gamma.
Now, if we have the xi is varying from 0 to infinity we can write this as the integral
over R 3. Now, how to do that? So, now this we break the integral 0 to infinity f hat xi gamma
e to the power 2 pi i x dot xi gamma then this is xi square d xi and d sigma gamma plus or this
is again minus 4 pi square integral over S 2 minus infinity to 0 f hat of xi gamma e to the
power 2 pi i x dot xi gamma xi square d xi then this is d gamma. Now, if we make a change a
variable from on the second integral xi going to minus xi. So, this second integral is going to be
0 to infinity f hat of minus xi gamma e to the power minus 2 pi i x xi gamma then this is xi
square d xi this is what the inside integral will look like. Now, we have another integral S 2 is
sitting over d sigma gamma. Now, you make a change a variable on the sphere on the sphere then gamma
goes to minus of gamma then this is going to be integral over S 2 0 to infinity f hat of xi gamma
e to the power 2 pi i x dot xi gamma xi square d xi d sigma gamma. Now, with this observation this
we can write that this is minus 4 pi square into 2 times S 2 0 to infinity f hat xi gamma e to the
power 2 pi i x dot xi gamma xi square d xi d sigma then this is equal to minus 8 pi square and
this is nothing but by the Fourier inversion formula this we can now polar coordinate to
change into Cartesian coordinate this is f hat of a y e to the power minus 2 pi i x dot y then
this is nothing but d y. So, this is nothing but 8 pi square f of this is plus f of x that is what
the Fourier inversion. So, this formula gives us the method how to reconstruct f from the data
given on the slices what we have got in dimension R 2 because the slices are. So,
this is actually the mathematics behind the medical imaging in terms of the x-ray and
tomography. So, essentially we get it on the plane and then we reconstruct the formula.
It also Radon transform also has many other application in PDE and other thing. So,
we can solve by using the Cauchy's problem using the Radon transform technique. So,
which is a very powerful technique and which we are not going to discuss in this course. So,
this in fact brings us to the end of this end of the course and now let us kind of
summarize what we have done. So, we have started doing the Fourier series then we did on circle
group T then we have Fourier series on finite abelian group then the Fourier series Fourier
transform on R and Rn and we have seen various applications of that too.
Now, what next I mean where does the subject what is the direction of this subject go well
let us recall that what we have seen is that if f remain integrable and periodic then what we have
seen that f hat of n as a sequence this is in little l 2 of z. Now, what we have seen that
there is a sequence in little l 2 which is not a Fourier coefficient of a Riemann integrable
function. So, naturally so the what we have seen that this is the Riemann integrable function on
T this x 2 little l 2 and which is not on 2. So, one would like to ask that what is the larger
space which can replace this Riemann integrable function such that the Fourier transform is on 2.
In fact, that is nothing but the Lebesgue space l 2 of T we need to define the Lebesgue measure
and through the Lebesgue measure one defines l 2 of T. So, that if we consider this is a all
measurable functions on T and which is integral over mod of f of x dx is f of x square dx is
finite. So, if we introduce the Lebesgue measure and consider this space then the Fourier transform
is going to be on 2. Another nice connection what one would see that the Fourier series is
going to be n from minus infinity to infinity f hat of n e to the power i 0 1 if I am taking n n x.
Now, this is so one can ask that when does this Fourier series it becomes a power series. That
means all the negative coefficient f of f hat of n is going to vanish. So, this is going to give
us a bridge between the complex analysis and Fourier series. So, definitely all this can be
extended to l p of T Lebesgue spaces or l p of R and l p of R n. So, then for example,
for what we get that if f is in l 1 of R then we get that f hat belongs to C 0 of R.
Because the Lebesgue space are also going to be functions which are integrable can going to be
approximated through the simple functions. And one can show that the Schwarz space is
dense in all those all those spaces. Therefore, the Fourier transform can easily be extended to
all this spaces. And then one would like to know that what is going to be the boundedness behavior
or f hat and so on and so forth. So, those questions can be asked. And also about the
convergence of the Fourier series we know that S n is minus n to n f hat of n e to the power 2 pi
n x. Then this S n f we know that how hard it is for the point wise convergence. But one can
actually ask that whether this S n f whether this converges to f in l p. That means mod of S n f of
x minus of f of x p d x whether this goes to 0 as n goes to infinity. So, we have seen for
the Riemann integrable function for p equal to 2. And now for this general Lebesgue space one
can ask this. In fact the answer is going to be true if p is greater than 1. And now one thing
what one would like to see is that e to the power the building block is e to the power let us say
i n. So, what it is happening here? So, one is seeing that in the Fourier series they are playing
as the orthonormal family and which is going to span I mean this is orthonormal basis in the
infinite dimensional means the sum is infinite here. So, it is and then when we go to R or R n
then we consider this as the continuous homomorphism. Now for that matter if we take
any arbitrary infinite group G which is so called locally compact abelian then this entire Fourier
transform can be extended that is for the locally abelian. Now here as we can see that for the
basis part e to the power 2 pi i xi x is not integrable. But however it is all these e to
the power 2 pi i n x they are essentially is getting generated by a single function defined
phi of n is equal to e to the power 2 pi i x and phi n x is equal to phi of n x then you are
generating all this function. So, now from a single functions you are generating by getting
the dilation you are generating the orthonormal basis. So, although e to the power 2 pi i xi x
is not in R, but one can ask this question that if can we generate an orthonormal basis for L 2 of
R from a single function just by the translation and dilation. So, that leads to the course called
wavelet analysis which is a very powerful tool for some applied problems in engineering and
other science. And next is that if we have a general group which is not abelian then what
one should do to do the Fourier analysis first of all we need to define an integration in that
group. So, which means there has to be a prescription how to talk about the integration and
then next one would like to see this continuous homomorphism, but this continuous homomorphism
circle will going to be replaced by a Hilbert space and mod t mod z is equal to 1 that is what
the circle is essentially it should be some sort of a representation homomorphism which is to the
unitary operator on Hilbert space. So, this basic whatever we have done all these questions will be
in the higher setting, but for that one need to work out to mathematically to ask the appropriate
questions. Thank you.
