Fresnel diffraction theory

Fresnel diffraction theory is a scalar diffraction theory.  It ignores the vector nature of the electromagnetic field.

Assume a scalar field y(x,y,z,t) = y(x,y,z)exp(-iwt) is a solution to the scalar wave equation

Ñ2y(x,y,z,t) - (1/v2)2y(x,y,z,t) /t2 = 0.

Ñ2y(x,y,z) + k2y(x,y,z) = 0,       k2= w2/v2.

Assume space is divided into two regions separated by a surface S.  Region 1 contains the sources of the field y(x,y,z).  These sources produce a wave incident on the surface S, which separates region 1 from region 2.  The field everywhere in region 2 is a solutions of Ñ2y(x,y,z) + k2y(x,y,z) = 0 and can be found if the field y and its normal derivative ¶y/n on the surface S are known.  The assumptions that are usually made are that y(x,y,z) and ¶y/n vanish everywhere on S except where there is an opening.  The values of y(x,y,z) and ¶y/n in the opening are equal to the values of the incident wave in the absence of any obstacle or screen.

The standard calculations of classical optics are all based on this approximation.  They have only limited validity.  They are valid in the paraxial approximation.  (In the paraxial approximation the direction of the electromagnetic fields is constant to first order, so ignoring the vector nature can be justified.)

So let us keep on working in the paraxial approximation.  Assume the surface S is located in the z = 0 plane.  Region 1 is the z < 0 region.  In the paraxial approximation the wave vectors of all plane waves make small angles with respect to the z-axis, so that we can write

kz = (k2 – kx2 – ky2)½ » k – (kx2 + ky2)/2k.

Any y(x,y,z) may be expanded in terms of plane waves.  The general solution to Ñ2y(x,y,z) + k2y(x,y,z) = 0 in region 2 is

,

where u0(kx,ky) is the amplitude of the plane wave solution with frequency w and the particular transverse components kx and ky of the wave vector.  In the paraxial approximation we may write

.

If in region 2 we write y(x,y,z) = u(x,y,z) exp(ikz), then

.

In order for the paraxial approximation to be valid, u0(kx,ky) must vanish unless (kx2 + ky2)/2k << 1.
If we set z = 0 then we see that u0(kx,ky) is the inverse Fourier transform of u(x, y, z=0).

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[Fourier transform:

Let f(x) = ò-¥+¥f(k)exp(ikx)dk. Then f(k) =(1/2p) ò-¥+¥f(x)exp(-ikx)dk.

Define u(x0,y0) = u(x, y, z=0).
u(x0,y0) = ò-¥+¥ò-¥+¥u0(kx,ky)exp(i(kxx0 + kyy0))dkxdky.  Then
u0(kx,ky) = (1/2p)2ò-¥+¥ò-¥+¥u(x0,y0)exp(-i(kxx0 + kyy0))dx0dy0.]

Therefore the field in a plane at z is related to the field in the z = 0 plane through

We can evaluate k-space integral by completing the square in the exponent.

,

where u0(x0,y0) is the known distribution at z = 0.  This is called the Fresnel diffraction integral.

The Fresnel diffraction integral in the paraxial approximation is the convolution of u(x0,y0) and the Fresnel kernel h(x,y,z).

u(x,y,z) = h * u0.

Now consider the Fraunhofer approximation.  Assume u(x0,y0) = 1 if |x0| < ax/2, |y0| < ay/2 and zero otherwise, and let z/k >> axay.

Then we may approximate

.

We then can evaluate the integral for u(x,y,z).  We find

,

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The intensity distribution is proportional to |y|2.

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Convolution:

The convolution of two functions u(x) and v(x) is defined through

u(x')*v(x') = òu(x'')v(x'-x'')dx''.

The convolution integral has the following properties:

Convolution is commutative:  u(x')*v(x') = v(x')*u(x')

The Fourier transform of a convolution is the product of the Fourier transforms of the component functions.
FT(u*v) = FT(u)×FT(v)
This is the convolution theorem.

The Fourier transform of a product is the convolution of the Fourier transforms of the component functions.
FT(u×v) = FT(u)*FT(v)

Link:

Convolution