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Lecture 33: High Frequency Solutions and Gaussian Beams

Lecture notes on high frequency solutions and Gaussian beams in electromagnetic field theory. Covers tangent plane approximations, Fermat’s principle, Snell’s law.

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Lecture 33

High Frequency Solutions,

Gaussian Beams

33.1 High Frequency Solutions

High frequency solutions are important in many real-world applications. This occurs when the

wavelength is much smaller than the size of the structure. This can occur even in microwave

interacting with reflector antennas for instance. It is also the transition from waves regime

to the optics regime in the solutions of Maxwell’s equations. Often times, the term “quasi-

optical” is used to describe the solutions in this regime.

33.1.1 Tangent Plane Approximations

We have learnt that reflection and transmission of waves at a flat surface can be solved in

closed form. The important point here is the physics of phase matching. Due to phase

matching, we have the law of reflection, transmission and Snell’s law [52].1

When a surface is not flat anymore, there is no closed form solution. But when a surface is

curved, an approximate solution can be found. This is obtained by using a local tangent-plane

approximation when the radius of curvature is much larger than the wavelength. Hence, this

is a good approximation when the frequency is high or the wavelength is short. This is similar

in spirit that we can approximate a spherical wave by a local plane wave at the spherical wave

front when the wavelength is short.

When the wavelength is short, phase matching happens locally, and the law of reflection,

transmission, and Snell’s law are satisfied approximately as shown in Figure 33.1. The tangent

plane approximation is the basis for the geometrical optics (GO) approximation [31, 167]. In

GO, light waves are replaced by light rays. The reflection and transmission of these rays at

an interface is estimated with the tangent plane approximation. This is also the basis for lens

or ray optics from which lens technology is derived. It is also the basis for ray tracing for

high-frequency solutions [168, 169].

1This law is also known in the Islamic world in 984 [166].

331

332 Electromagnetic Field Theory

Most of these problems do not have closed-form solutions, and have to be treated with ap-

proximate methods. In addition to geometrical approximations mentioned above, asymptotic

methods are also used to find approximate solutions. Asymptotic methods implies finding

a solution when there is a large parameter in the problem. In this case, it is usually the

frequency. Such high-frequency approximate methods are discussed in [170–174].

Figure 33.1: In the tangent plane approximation, the surface where reflection and refraction

occur is assumed to be locally flat. Hence, phase-matching is approximately satisfied, and

hence, the law of reflection, transmittion, and Snell’s law.

33.1.2 Fermat’s Principle

Fermat’s principle (1600s) [52,175] says that a light ray follows the path that takes the shortest

time between two points.2 Since time delay is related to the phase delay, and that a light ray

can be locally approximated by a plane wave, this can be stated that a plane wave follows the

path that has a minimal phase delay. This principle can be used to derive law of reflection,

transmission, and refraction for light rays. It can be used as the guiding principle for ray

tracing.

2This eventually give rise to the principle of least action.

High Frequency Solutions, Gaussian Beams 333

Figure 33.2: In Fermat’s principle, a light ray, when propagating from point A to point C,

takes the path of least delay.

Given two points A and C in two different half spaces as shown in Figure 33.2. Then the

phase delay between the two points, per Figure 33.2, can be written as

P = ki · ri + kt · rt (33.1.1)

As this is the shortest path according to Fermat’s principle, another other path will be longer.

In other words, if B were to move to another point, a longer path will ensue, or that B is the

stationary point of the path length or phase delay. Specializing (33.1.1) to a 2D picture, then

the phase delay as a function of xi is stationary. In this Figure 33.2, we have xi + xt = const.

Therefore, taking the derivative of (33.1.1) with respect to xi, one gets

∂P

∂xi

= 0 = ki − kt (33.1.2)

The above yields the law of refraction that ki = kt, which is just Snell’s law. It can also be

334 Electromagnetic Field Theory

obtained by phase matching. Notice that in the above, only xi is varied to find the stationary

point and ki and kt remain constant.

33.1.3 Generalized Snell’s Law

Figure 33.3: A phase screen which is position dependent can be made. In such a case, one

can derive a generalized Snell’s law to describe the diffraction of a wave by such a surface

(courtesy of Capasso’s group [176]).

Metasurfaces are prevalent these days due to our ability for nano-fabrication and numerical

simulation. One of them is shown in Figure 33.3. Such a metasurface can be thought of as a

phase screen, providing additional phase shift for the light as it passes through it. Moreover,

the added phase shift can be controlled to be a function of position due to advent in fabrication

technology and commercial software for numerical simulation.

To model this phase screen, we can add an additional function Φ(x, y) to (33.1.1), namely

that

P = ki · ri + kt · rt − Φ(xi, yi) (33.1.3)

Now applying Fermat’s principle that there should be minimal phase delay, and taking the

derivative of the above with respect to xi, one gets

∂P

∂xi

= ki − kt − ∂Φ(xi, yi)

∂xi

= 0 (33.1.4)

The above yields that the generalized Snell’s law [176] that

ki − kt = ∂Φ(xi, yi)

∂xi

(33.1.5)

It yields the fact that the transmitted light can be directed to other angles due to the

additional phase screen.

High Frequency Solutions, Gaussian Beams 335

33.2 Gaussian Beam

We have seen previously that in a source free space

∇2A + ω2μεA = 0 (33.2.1)

∇2Φ + ω2μεΦ = 0 (33.2.2)

The above are four scalar equations with the Lorenz gauge

∇ · A = −jωμεΦ (33.2.3)

connecting A and Φ. We can examine the solution of A such that

A(r) = A0(r)e−jβz (33.2.4)

where A0(r) is a slowly varying function while e−jβz is rapidly varying in the z direction.

(Here, β = ω√μ.) This is primarily a quasi-plane wave propagating predominantly in the

z-direction. We know this to be the case in the far field of a source, but let us assume that

this form persists less than the far field, namely, in the Fresnel as well.

Taking the x component of (33.2.4), we have3

Ax(r) = Ψ(r)e−jβz (33.2.5)

where Ψ(r) = Ψ(x, y, z) is a slowly varying envelope function of x, y, and z.

33.2.1 Derivation of the Paraxial/Parabolic Wave Equation

Substituting (33.2.5) into (33.2.1), and taking the double z derivative first, we arrive at

∂2

∂z2

[Ψ(x, y, z)e−jβz ] =

[ ∂2

∂z2 Ψ(x, y, z) − 2jβ ∂

∂z Ψ(x, y, z) − β2Ψ(x, y, z)

]

e−jβz (33.2.6)

Consequently, after substituting the above into the x component of (33.2.1), we obtain an

equation for Ψ(r), the slowly varying envelope as

∂2

∂x2 Ψ + ∂2

∂y2 Ψ − 2jβ ∂

∂z Ψ + ∂2

∂z2 Ψ = 0 (33.2.7)

When β → ∞ , or in the high frequency limit,

∣

∣

∣

∣2jβ ∂

∂z Ψ

∣

∣

∣

∣ 

∣

∣

∣

∣

∂2

∂z2 Ψ

∣

∣

∣

∣ (33.2.8)

In the above, we assume the envelope to be slowly varying and β large, so that |βΨ| 

|∂/∂zΨ|. And then (33.2.7) can be approximated by

∂2Ψ

∂x2 + ∂2Ψ

∂y2 − 2jβ ∂Ψ

∂z ≈ 0 (33.2.9)

3Also, the wave becomes a transverse wave in the far field, and keeping the transverse component suffices.

336 Electromagnetic Field Theory

The above is called the paraxial wave equation. It is also called the parabolic wave equation.4

It implies that the β vector of the wave is approximately parallel to the z axis, and hence,

the name.

33.2.2 Finding a Closed Form Solution

A closed form solution to the paraxial wave equation can be obtained by a simple trick5. It

is known that

Ax(r) = e−jβ|r−r′|

4π|r − r′| (33.2.10)

is the solution to

∇2Ax + β2Ax = 0 (33.2.11)

if r 6 = r′. If we make r′ = −ˆzjb, a complex number, then (33.2.10) is always a solution to

(33.2.10) for all r, because |r − r′| 6 = 0 always. Then

|r − r′| = √x2 + y2 + (z + jb)2

≈ (z + jb)

[

1 + x2 + y2

(z + jb)2 + . . .

]1/2

≈ (z + jb) + x2 + y2

2(z + jb) + . . . , |z + jb| → ∞ (33.2.12)

And then

Ax(r) ≈ e−jβ(z+jb)

4π(z + jb) e−jβ x2+y2

2(z+jb) (33.2.13)

By comparing the above with (33.2.5), we can identify

Ψ(x, y, z) = A0

jb

z + jb e−jβ x2+y2

2(z+jb) (33.2.14)

By separating the exponential part into the real part and the imaginary part, and writing

the prefactor in terms of amplitude and phase, we have

Ψ(x, y, z) = A0

√1 + z2/b2 ej tan−1( z

b )e−jβ x2+y2

2(z2+b2) z e−bβ x2+y2

2(z2+b2) (33.2.15)

The above can be rewritten as

Ψ(x, y, z) = A0

√1 + z2/b2 e−jβ x2+y2

2R e− x2+y2

w2 ejψ (33.2.16)

4The paraxial wave equation, the diffusion equation and the Schrodinger equation are all classified as

parabolic equations in mathematical parlance [34, 43, 177, 178].

5Introduced by Georges A. Deschamps of UIUC [179].

High Frequency Solutions, Gaussian Beams 337

where

w2 = 2b

β

(

1 + z2

b2

)

, R = z2 + b2

z , ψ = tan−1 ( z

b

)

(33.2.17)

For a fixed z, the parameters w, R, and ψ are constants. Here, w is the beam waist which

varies with z, and it is smallest when z = 0, or w = w0 =

√ 2b

β . And R is the radius of

curvature of the constant phase front. This can be appreciated by studying a spherical wave

front e−jβR, and make a paraxial wave approximation, namely, x2 + y2  z2 to get

e−jβR = e−jβ(x2+y2+z2)1/2

= e−jβz

(

1+ x2+y2

z2

)1/2

≈ e−jβz−jβ x2+y2

2z ≈ e−jβz−jβ x2+y2

2R (33.2.18)

In the last approximation, we assume that z ≈ R in the paraxial approximation. The phase

ψ changes rapidly with z.

A cross section of the electric field due to a Gaussian beam is shown in Figure 33.4.

Figure 33.4: Electric field of a Gaussian beam in the x − z plane frozen in time. The wave

moves to the right as time increases; b/λ = 10/6 (courtesy of Haus, Electromagnetic Noise

and Quantum Optical Measurements [74]).

33.2.3 Other solutions

In general, the paraxial wave equation has solution of the form6

Ψnm(x, y, z) =

( 2

πn!m!

)1/2

2−N/2

( 1

w

)

e−(x2+y2)/w2

e−j β

2R (x2+y2)ej(m+n+1)Ψ

·Hn

(

x√2/w

)

Hm

(

y√2/w

)

(33.2.19)

6See F. Pampaloni and J. Enderlein [180].

338 Electromagnetic Field Theory

where Hn(ξ) is a Hermite polynomial of order n. The solution can also be express in terms

of Laguere polynomials, namely,

Ψnm(x, y, z) =

( 2

πn!m!

)1/2

min(n, m)! 1

w e−j β

2R ρ2

− e−ρ2/w2

e+j(n+m+1)Ψejlφ

(−1)min(n,m)

( √2ρ

w

)

Ln−m

min(n,m)

( 2ρ2

w2

)

(33.2.20)

where Lk

n(ξ) is the associated Laguerre polynomial.

These gaussian beams have rekindled recent excitement in the community because, in

addition to carrying spin angular momentum as in a plane wave, they can carry orbital

angular momentum due to the complex transverse field distribution of the beams.7 They

harbor potential for optical communications as well as optical tweezers to manipulate trapped

nano-particles. Figure 33.5 shows some examples of the cross section (xy plane) field plots

for some of these beams.

Figure 33.5: Examples of structured light. It can be used in encoding more information in

optical communications (courtesy of L. Allen and M. Padgett’s chapter in J.L. Andrew’s book

on structured light [181].

7See D.L. Andrew, Structured Light and Its Applications and articles therein [181].

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