Waves, the Wave Equation, and Phase Velocity f ( x ) f ( x- 2) What - - PowerPoint PPT Presentation

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Waves, the Wave Equation, and Phase Velocity f ( x ) f ( x- 2) What - - PowerPoint PPT Presentation

Waves, the Wave Equation, and Phase Velocity f ( x ) f ( x- 2) What is a wave? f ( x- 1) f ( x- 3) Forward [ f ( x -v t ) ] and backward [ f ( x +v t ) ] propagating waves The one-dimensional wave equation Wavelength, frequency, period, etc. x


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SLIDE 1

Waves, the Wave Equation, and Phase Velocity

What is a wave? Forward [f(x-vt)] and backward [f(x+vt)] propagating waves The one-dimensional wave equation Wavelength, frequency, period, etc. Phase velocity Complex numbers Plane waves and laser beams Boundary conditions Div, grad, curl, etc., and the 3D Wave equation

f(x) f(x-3) f(x-2) f(x-1) x

0 1 2 3

Source: Trebino, Georgia Tech

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SLIDE 2

What is a wave?

A wave is anything that moves. To displace any function f(x) to the right, just change its argument from x to x-a, where a is a positive number. If we let a = v t, where v is positive and t is time, then the displacement will increase with time. So represents a rightward,

  • r forward, propagating wave.

Similarly, represents a leftward, or backward, propagating wave. v will be the velocity of the wave.

f(x) f(x-3) f(x-2) f(x-1) x

0 1 2 3 f(x - v t) f(x + v t)

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SLIDE 3

The one-dimensional wave equation

2 2 2 2 2

1 v f f x t ∂ ∂ − = ∂ ∂

The one-dimensional wave equation for scalar (i.e., non-vector) functions, f: where v will be the velocity of the wave.

( , ) ( v ) f x t f x t = ±

The wave equation has the simple solution: where f (u) can be any twice-differentiable function.

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SLIDE 4

Proof that f (x ± vt) solves the wave equation

Write f (x ± vt) as f(u), where u = x ± vt. So and Now, use the chain rule: So ⇒ and ⇒ Substituting into the wave equation: 1 u x ∂ = ∂

v u t ∂ = ± ∂

f f u x u x ∂ ∂ ∂ = ∂ ∂ ∂ f f u t u t ∂ ∂ ∂ = ∂ ∂ ∂

f f x u ∂ ∂ = ∂ ∂

v f f t u ∂ ∂ = ± ∂ ∂

2 2 2 2 2

v f f t u ∂ ∂ = ∂ ∂

2 2 2 2

f f x u ∂ ∂ = ∂ ∂

2 2 2 2 2 2 2 2 2 2 2

1 1 v v v f f f f x t u u   ∂ ∂ ∂ ∂ − = − =   ∂ ∂ ∂ ∂  

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SLIDE 5

The 1D wave equation for light waves

We’ll use cosine- and sine-wave solutions:

  • r

where:

2 2 2 2

E E x t µε ∂ ∂ − = ∂ ∂

( , ) cos[ ( v )] sin[ ( v )] E x t B k x t C k x t = ± + ±

( , ) cos( ) sin( ) E x t B kx t C kx t ω ω = ± + ±

1 v k ω µε = = ( v) kx k t ±

where E is the light electric field

The speed of light in vacuum, usually called “c”, is 3 x 1010 cm/s.

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SLIDE 6

A simpler equation for a harmonic wave:

E(x,t) = A cos[(kx – ωt) – θ]

Use the trigonometric identity:

cos(z–y) = cos(z) cos(y) + sin(z) sin(y)

where z = kx – ωt and y = θ to obtain:

E(x,t) = A cos(kx – ωt) cos(θ) + A sin(kx – ωt) sin(θ)

which is the same result as before, as long as:

A cos(θ) = B and A sin(θ) = C ( , ) cos( ) sin( ) E x t B kx t C kx t ω ω = − + −

For simplicity, we’ll just use the forward- propagating wave.

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SLIDE 7

Definitions: Amplitude and Absolute phase

E(x,t) = A cos[(k x – ω t ) – θ ]

A = Amplitude θ = Absolute phase (or initial phase)

π kx

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SLIDE 8

Definitions

Spatial quantities: Temporal quantities:

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SLIDE 9

The Phase Velocity

How fast is the wave traveling? Velocity is a reference distance divided by a reference time. The phase velocity is the wavelength / period: v = λ / τ Since ν = 1/τ : In terms of the k-vector, k = 2π / λ, and the angular frequency, ω = 2π / τ, this is:

v = λ v v = ω / k

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SLIDE 10

The phase is everything inside the cosine.

E(x,t) = A cos(ϕ), where ϕ = k x – ω t – θ ϕ = ϕ(x,y,z,t) and is not a constant, like θ !

In terms of the phase,

ω = – ∂ϕ /∂t k = ∂ϕ /∂x

And – ∂ϕ /∂t v = –––––––

∂ϕ /∂x

The Phase of a Wave

This formula is useful when the wave is really complicated.

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SLIDE 11

Tacoma Narrows Bridge

  • 1. The animation shows the Tacoma Narrows Bridge shortly before its collapse.

What is its frequency? A .1 Hz B .25 Hz C .50 Hz D 1 Hz

  • 2. The distance between the bridge towers (nodes) was about 860 meters

and there was also a midway node. What was the wavelength of the standing torsional wave? A 1720 m B 860 m C 430 m D There is no way to tell.

  • 3. What is the amplitude?

A 0.4 m B 4 m C 8 m D 16 m Animation: http://www.youtube.com/watch?v=3mclp9QmCGs

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SLIDE 12

Complex numbers

So, instead of using an ordered pair, (x,y), we write: P = x + i y = A cos(ϕ) + i A sin(ϕ) where i = (-1)1/2

Consider a point, P = (x,y), on a 2D Cartesian grid.

Let the x-coordinate be the real part and the y-coordinate the imaginary part

  • f a complex number.
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SLIDE 13

Euler's Formula

exp(iϕ) = cos(ϕ) + i sin(ϕ)

so the point, P = A cos(ϕ) + i A sin(ϕ), can be written:

P = A exp(iϕ)

where

A = Amplitude ϕ = Phase

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SLIDE 14

Proof of Euler's Formula

Use Taylor Series:

2 3 4 2 4 3

exp( ) 1 ... 1! 2! 3! 4! 1 ... ... 2! 4! 1! 3! cos( ) sin( ) i i i i i ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ = + − − + +     = − + + + − +         = +

2 3

( ) (0) '(0) ''(0) '''(0) ... 1! 2! 3! x x x f x f f f f = + + + +

exp(iϕ) = cos(ϕ) + i sin(ϕ)

2 3 4 2 4 6 8 3 5 7 9

exp( ) 1 ... 1! 2! 3! 4! cos( ) 1 ... 2! 4! 6! 8! sin( ) ... 1! 3! 5! 7! 9! x x x x x x x x x x x x x x x x = + + + + + = − + − + + = − + − + +

If we substitute x = iϕ into exp(x), then:

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SLIDE 15

Complex number theorems

[ ] [ ] [ ] [ ]

1 1 2 2 1 2 1 2 1 1 2 2 1 2 1 2

exp( ) 1 exp( / 2) exp(- ) cos( ) sin( ) 1 cos( ) exp( ) exp( ) 2 1 sin( ) exp( ) exp( ) 2 exp( ) exp( ) exp ( ) exp( ) / exp( ) / exp ( ) i i i i i i i i i i A i A i A A i A i A i A A i π π ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ ϕ = − = = − = + − = − − × = + = − exp( ) cos( ) sin( ) i i ϕ ϕ ϕ = + If

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SLIDE 16

More complex number theorems

Any complex number, z, can be written: z = Re{ z } + i Im{ z } So Re{ z } = 1/2 ( z + z* ) and Im{ z } = 1/2i ( z – z* ) where z* is the complex conjugate of z ( i → –i ) The "magnitude," | z |, of a complex number is: | z |2 = z z* = Re{ z }2 + Im{ z }2 To convert z into polar form, A exp(iϕ): A2 = Re{ z }2 + Im{ z }2 tan(ϕ) = Im{ z } / Re{ z }

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SLIDE 17

We can also differentiate exp(ikx) as if the argument were real.

[ ] [ ]

exp( ) exp( ) cos( ) sin( ) sin( ) cos( ) 1 sin( ) cos( ) 1/ sin( ) cos( ) d ikx ik ikx dx d kx i kx k kx ik kx dx ik kx kx i i i ik i kx kx = + = − +   = − +     − = = + Proof : But , so:

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SLIDE 18

Waves using complex numbers

The electric field of a light wave can be written:

E(x,t) = A cos(kx – ωt – θ)

Since exp(iϕ) = cos(ϕ) + i sin(ϕ), E(x,t) can also be written:

E(x,t) = Re { A exp[i(kx – ωt – θ)] }

  • r

E(x,t) = 1/2 A exp[i(kx – ωt – θ)] + c.c.

where "+ c.c." means "plus the complex conjugate of everything before the plus sign."

We often write these expressions without the ½, Re, or +c.c.

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SLIDE 19

Waves using complex amplitudes

We can let the amplitude be complex: where we've separated the constant stuff from the rapidly changing stuff. The resulting "complex amplitude" is: So:

( ) ( ) ( ) { } ( )

{ }

, exp ex , ex ( p p ) E x t A i kx t E x t i k t i x A ω θ ω θ = − −     = − −     exp( ) E A iθ = − ←  (note the " ~ ")

( ) ( )

, exp E x t E i kx t ω = −  

How do you know if E0 is real or complex? Sometimes people use the "~", but not always. So always assume it's complex.

As written, this entire field is complex!

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SLIDE 20

Complex numbers simplify waves!

This isn't so obvious using trigonometric functions, but it's easy with complex exponentials:

1 2 3 1 2 3

( , ) exp ( ) exp ( ) exp ( ) ( )exp ( )

tot

E x t E i kx t E i kx t E i kx t E E E i kx t ω ω ω ω = − + − + − = + + −       

where all initial phases are lumped into E1, E2, and E3. Adding waves of the same frequency, but different initial phase, yields a wave of the same frequency.

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SLIDE 21

is called a plane wave.

A plane wave's wave-fronts are equally spaced, a wavelength apart. They're perpendicular to the propagation direction.

Wave-fronts are helpful for drawing pictures of interfering waves. A wave's wave- fronts sweep along at the speed of light.

A plane wave’s contours of maximum field, called wave-fronts or phase-fronts, are planes. They extend over all space.

0 exp[ (

)] E i kx t ω − 

Usually, we just draw lines; it’s easier.

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SLIDE 22

Localized waves in space: beams

A plane wave has flat wave-fronts throughout all space. It also has infinite energy. It doesn’t exist in reality. Real waves are more localized. We can approximate a realistic wave as a plane wave vs. z times a Gaussian in x and y:

2 2 2

( , , , ) exp[ ( ) exp ] x y E x y z t E i kz t w ω =   + −   −    

Laser beam spot on wall

w

x y Localized wave-fronts z

x exp(-x2)

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SLIDE 23

Localized waves in time: pulses

If we can localize the beam in space by multiplying by a Gaussian in x and y, we can also localize it in time by multiplying by a Gaussian in time.

2 2 2 2 2

( , , , ) exp exp[ ( exp )] x y E x y z t E i kz t t w τ ω   +   −     = − −       t E

This is the equation for a laser pulse. t exp(-t2)

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SLIDE 24

Longitudinal vs. Transverse waves

Motion is along the direction of propagation— longitudinal polarization Motion is transverse to the direction of propagation— transverse polarization

Space has 3 dimensions, of which 2 are transverse to the propagation direction, so there are 2 transverse waves in addition to the potential longitudinal one. The direction of the wave’s variations is called its polarization.

Transverse: Longitudinal:

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SLIDE 25

Vector fields

Light is a 3D vector field. A 3D vector field assigns a 3D vector (i.e., an arrow having both direction and length) to each point in 3D space.

( ) f r  

A light wave has both electric and magnetic 3D vector fields:

Wind patterns: 2D vector field

And it can propagate in any direction.

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SLIDE 26

Div, Grad, Curl, and all that

Types of 3D vector derivatives: The Del operator: The Gradient of a scalar function f : The gradient points in the direction of steepest ascent.

, , x y z   ∂ ∂ ∂ ∇ ≡   ∂ ∂ ∂   

, , f f f f x y z   ∂ ∂ ∂ ∇ ≡   ∂ ∂ ∂   

If you want to know more about vector calculus, read this book!

Div, Grad, Curl, and All That: An Informal Text on Vector Calculus , by Schey

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SLIDE 27

Div, Grad, Curl, and all that

The Divergence of a vector function:

y x z

f f f f x y z ∂ ∂ ∂ ∇⋅ ≡ + + ∂ ∂ ∂  

The Divergence is nonzero if there are sources or sinks.

A 2D source with a large divergence:

Note that the x-component of this function changes rapidly in the x direction, etc., the essence of a large divergence.

x y

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SLIDE 28

Div, Grad, Curl, and more all that

The Laplacian of a scalar function : The Laplacian of a vector function is the same, but for each component of f:

2

, , f f f f f x y z   ∂ ∂ ∂ ∇ ≡ ∇⋅∇ = ∇⋅   ∂ ∂ ∂     

2 2 2 2 2 2

f f f x y z ∂ ∂ ∂ = + + ∂ ∂ ∂

2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2

, ,

y y y x x x z z z

f f f f f f f f f f x y z x y z x y z   ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∇ = + + + + + +     ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂   

The Laplacian tells us the curvature of a vector function.

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SLIDE 29

The 3D wave equation for the electric field and its solution

  • r

whose solution is: where and

2 2 2 2 2 2 2 2

E E E E x y z t µε ∂ ∂ ∂ ∂ + + − = ∂ ∂ ∂ ∂

{ }

( , , , ) Re exp[ ( )] E x y z t E i k r t ω = ⋅ −   

x y z

k r k x k y k z ⋅ ≡ + +  

2 2 2 2 x y z

k k k k ≡ + +

2 2 2

E E t µε ∂ ∇ − = ∂ 

A light wave can propagate in any direction in space. So we must allow the space derivative to be 3D:

( )

, ,

x y z

k k k k ≡ 

( )

, , r x y z ≡ 

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SLIDE 30

The 3D wave equation for a light-wave electric field is actually a vector equation.

whose solution is: where:

{ }

( , , , ) Re exp[ ( )] E x y z t E i k r t ω = ⋅ −     

2 2 2

E E t µε ∂ ∇ − = ∂   

And a light-wave electric field can point in any direction in space:

( , , )

x y z

E E E E =     

Note the arrow over the E.

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SLIDE 31

We must now allow the field E and its complex field amplitude to be vectors:

Vector Waves

( )

( )

{ }

, Re exp E r t E i k r t ω   = ⋅ −        

(Re{ } Im{ }, Re{ } Im{ }, Re{ } Im{ })

x x y y z z

E E i E E i E E i E = + + +  

The complex vector amplitude has six numbers that must be specified to completely determine it!

E 

x-component y-component z-component

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SLIDE 32

Boundary Conditions

Often, a wave is constrained by external factors, which we call Boundary Conditions. For example, a guitar string is attached at both ends. In this case, only certain wavelengths/frequencies are possible. Here the wavelengths can be: λ1, λ1/2, λ1/3, λ1/4, etc.

Node Anti-node