II. Light is a Ray (Geometrical Optics)

Similar documents
Scattering at an Interface: Oblique Incidence

Solution in semi infinite diffusion couples (error function analysis)

Mechanics Physics 151

Mechanics Physics 151

Lect. 12: Oblique Incidence at Dielectric Interface

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

Chapters 2 Kinematics. Position, Distance, Displacement

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

Variants of Pegasos. December 11, 2009

Lect. 13: Oblique Incidence at Dielectric Interface

Motion in Two Dimensions

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

Let s treat the problem of the response of a system to an applied external force. Again,

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

Department of Economics University of Toronto

Anisotropy and oblique total transmission at a planar negative-index interface

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction

[Link to MIT-Lab 6P.1 goes here.] After completing the lab, fill in the following blanks: Numerical. Simulation s Calculations

Incident ray Reflected ray θ i. θ r

PHYS 1443 Section 001 Lecture #4

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

( ) () we define the interaction representation by the unitary transformation () = ()

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

Linear Response Theory: The connection between QFT and experiments

Notes on the stability of dynamic systems and the use of Eigen Values.

The Elastic Wave Equation. The elastic wave equation

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data

FI 3103 Quantum Physics

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

Displacement, Velocity, and Acceleration. (WHERE and WHEN?)

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

Chapter Lagrangian Interpolation

Graduate Macroeconomics 2 Problem set 5. - Solutions

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Bayes rule for a classification problem INF Discriminant functions for the normal density. Euclidean distance. Mahalanobis distance

WebAssign HW Due 11:59PM Tuesday Clicker Information

TSS = SST + SSE An orthogonal partition of the total SS

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

( ) [ ] MAP Decision Rule

Mechanics Physics 151

How about the more general "linear" scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )?

Lecture 5. Plane Wave Reflection and Transmission

Comparison of Differences between Power Means 1

P R = P 0. The system is shown on the next figure:

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

CS286.2 Lecture 14: Quantum de Finetti Theorems II

Lecture VI Regression

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

Energy Storage Devices

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

THEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that

Fresnel Equations cont.

Math 128b Project. Jude Yuen

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration

Normal Random Variable and its discriminant functions

Lecture 6: Learning for Control (Generalised Linear Regression)

Epistemic Game Theory: Online Appendix

Online Appendix for. Strategic safety stocks in supply chains with evolving forecasts

Lecture Notes 4: Consumption 1

Polymerization Technology Laboratory Course

Midterm Exam. Thursday, April hour, 15 minutes

Example: MOSFET Amplifier Distortion

Comb Filters. Comb Filters

Cubic Bezier Homotopy Function for Solving Exponential Equations

Track Properities of Normal Chain

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Relative controllability of nonlinear systems with delays in control

IB Physics Kinematics Worksheet

Water Hammer in Pipes

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

Introduction to Boosting

CHAPTER 10: LINEAR DISCRIMINATION

Laser Interferometer Space Antenna (LISA)

First-order piecewise-linear dynamic circuits

Calculus Chapter 1 Introduction to Calculus

Physics 180A Fall 2008 Test points. Provide the best answer to the following questions and problems. Watch your sig figs.

CS 268: Packet Scheduling

(1) Cov(, ) E[( E( ))( E( ))]

Math 111 Midterm I, Lecture A, version 1 -- Solutions January 30 th, 2007

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System

Homework 8: Rigid Body Dynamics Due Friday April 21, 2017

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

MEEN Handout 4a ELEMENTS OF ANALYTICAL MECHANICS

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

PHYS 705: Classical Mechanics. Canonical Transformation

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

Sklar: Sections (4.4.2 is not covered).

Testing a new idea to solve the P = NP problem with mathematical induction

Set point control in the state space setting

2. SPATIALLY LAGGED DEPENDENT VARIABLES

Transcription:

II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance: When lgh ravels beween 2 pons, akes he shores pah As a smple eample, lgh ha ravels drecly from pon α o pon follows he ray pah of a sragh lne raher han some curved lne: α Bu wha ray pah does lgh follow when ravels from pon α o pon and bounces once off of a nearby mrror? Consder he 3 possble pahs shown n he dagram below: α γ δ ε mrror α Usng smlar rangles, we can see ha α δ α δ ; α γ α γ ; and α ε α ε Furhermore, snce α δ s a sragh lne beween α and, hen mus be rue ha α δ < α γ and α δ < α ε Therefore, we conclude ha α δ < α γ and α δ < α ε In oher words, he shores pah from α o ha ncludes one bounce off of he mrror s he pah hrough he pon δ ha s mdway beween α and When we alk abou rays ncden on some nerface s convenen o hnk n erms of he ray angles The ray angle s he angle beween he ray self and a lne drawn normal (perpendcular) o he plane of he nerface To see wha he above resul mples abou he angle of ncdence and angle of reflecon, θ and θ r, respecvely, consder he followng dagram: IIB-

α θ θ r ο δ α θ oher Snce rangle αοδ and rangle α οδ are congruen rangles, hen θ oher θ Snce he lne α and he nerface normal are nersecng lnes, hen θ oher θ r Therefore, we see ha θ r θ Though smple, hs mporan resul s gven a name: Law of Reflecon: When a lgh ray s refleced off of an nerface he angle of reflecon s equal o he angle of ncdence Mahemacally, he Law of Reflecon saes θ r θ Unforunaely, Hero s Prncple of Leas Dsance s no compleely correc Alhough s able o eplan propagaon of lgh rays n a homogeneous medum and he reflecon of lgh rays off of an nerface, we wll see ha s no able o eplan he refracon of lgh rays ravelng across an nerface beween wo dfferen meda 2 Reflecon off Imperfec Plane Mrrors In he real world, he descrpon of lgh refleced off of a mrror or nerface s more complcaed han we have jus assumed for 2 reasons: () he naure of he reflecon s no as smple as we jus descrbed snce no mrror s perfecly fla; () no all of he lgh s refleced some lgh s ransmed hrough he mrror and some lgh s absorbed n he maeral of he mrror self Consder () frs The Law of Reflecon always holds, bu snce praccal mrrors always have some amoun of surface roughness, no all of he lgh s refleced a eacly he same angle because he ncden angle s dfferen a dfferen pons on he surface The wo ereme cases are called perfec specular reflecon, n whch he lgh s all refleced a he same angle of reflecon, and perfec dffuse reflecon, n whch he lgh s refleced randomly no all dfferen drecons specular reflecon (smooh surface) dffuse reflecon (rough surface) IIB-2

In pracce we ge a combnaon of boh ypes of reflecon The lgh ha appears o obey he Law of Refracon when he angle of ncdence s defned relave o he average surface (gnorng he surface roughness) s sad o be specularly refleced, whle he lgh ha s refleced no random drecons s sad o be dffusely refleced For a farly smooh mrror, here wll be a dsrbuon of angles of reflecon cenered around he nomnal angle of ncdence amoun of lgh θ θ r Ne consder () For ceran ypes of mrrors, called fully reflecng mrrors, all of he lgh s eher refleced or absorbed n he maeral of he mrror no lgh s ransmed hrough he mrror A good eample of hs ype of mrror s a hck pece of meal The more reflecon and he less absorpon, he beer he mrror s Many mrrors are parally reflecng mrrors Two man ypes of parally reflecng mrrors are parally slvered mrrors, whch conss of a very hn meal flm suppored by a ransparen (usually glass) subsrae, and delecrc mrrors, whch are smply plane nerfaces beween wo maerals of farly dfferen refracve ndees parally slvered mrror delecrc mrror ncden refleced ncden refleced n glass n very hn meal flm ransmed ransmed The amoun of reflecon versus ransmsson s deermned by he hckness of he meal flm n he frs ype, and by he dfference beween refracve ndees n he second ype Mrrors ha are nenonally made o be parally reflecng are useful for splng a beam of lgh no wo drecons, or as beam-splers, and for one-way mrrors (lke n an nerrogaon room), for eample 3 Ferma s Prncple of Leas Tme Law of Refracon (Snell s Law) Perre de Ferma, a French jurs and mahemacan from he 7 h cenury, was of he opnon ha naure s economcal As a resul of hs phlosophy, he posulaed n 657 ha: Ferma s Prncple of Leas Tme : When lgh ravels beween 2 pons, akes he pah ha s raversed n he leas me Noe ha we could have used Ferma s Prncple jus as well as Hero s Prncple o derve he Law of Reflecon, snce he pahs of leas dsance and leas me are equal n a homogeneous medum (n whch he velocy of lgh s a consan) Usng Ferma s Prncple, we can now derve he Law of Refracon as well Consder a ray of lgh ravelng across an nerface ha separaes wo dfferen meda havng wo dfferen ndees of refracon, such ha he velocy of lgh s dfferen n he wo regons In IIB-3

ravelng from pon α o pon, he ray crosses he nerface a some pon ο We wsh o deermne he poson of he pon ο, and from ha poson he relaonshp beween he angle of ncdence θ and he angle of ransmsson θ α a θ ο n b θ n ( n > n ) c c Now we know lgh ravels a speed v n medum and a speed v n medum, so he oal me akes for lgh o ge from pon α o pon (usng me dsance / rae) s αο ο + v v or, n erms of dsances, a + v + 2 2 2 2 b + c v Thus he me s a funcon of he poson (whch ells us where he ray crosses he nerface) To fnd he mnmum value of he funcon (), we fnd he slope d d and se equal o zero: v a 2 2 v b c + so, d d 2 2 2 + ( + ( ) ) 2 2 a + 2 v 2 2 2 2 2 + ( + ( ) ) v 2 ( ) b c 2 2 c or, d d v a + c v b + c 2 2 2 2 se 0 so, v a + c v b + c 2 2 2 2 wll gve he value ha corresponds o mnmum Snce n pracce s easer o measure angles han posons, le s see wha hs resul ells us abou he relaonshp beween he ray angles Frs, we recognze ha c snθ and snθ ; a 2 + 2 b 2 + ( c ) 2 so he correc ray pah, accordng o Ferma s Prncple, s characerzed by he relaonshp IIB-4

snθ snθ v v Bu we know ha v c c and v, n n and hus he relaonshp beween he ray angles, called Snell s Law, s: Law of Refracon (Snell s Law): When a ray s ransmed across an nerface beween wo meda wh dfferen refracve ndees, he produc of he refracve nde and he sne of he ray angle s equal on boh sdes of an nerface Mahemacally, he Law of Refracon (Snell s Law) saes n snθ n snθ Noce ha when he nde n he ncden medum s less han he nde n he ransmed medum, he ray s ben oward he normal o he nerface plane, whereas when he nde n he ncden medum s greaer, he ray s ben away from he normal Ths resul s llusraed below θ n (ar) θ n (waer) n (waer) n (ar) θ θ n < n θ > θ n > n θ < θ How do we know ha he lgh behaves hs way? Consder he frs case n whch n < n : n Snell s Law mples snθ snθ, and we know n > ; herefore snθ > snθ n n Bu we know ha snθ s a monooncally ncreasng funcon of θ for 0 θ π / 2 Thus mus be rue ha θ > θ By he way, once you have convnced yourself ha one of he wo dagrams above s correc, you can show ha he oher s correc usng he Prncple of Reversbly 4 Prncple of Ray Reversbly Noce ha n dervng he relaonshp beween he angle of ncdence and he angle of ransmsson for a ray refraced a an nerface beween wo meda of dfferen refracve ndees, we could jus as well have nerchanged he roles of pons α and so ha he lgh ravels from pon o pon α along he eac same ray pah Ths resul s acually que general, so we gve a name: IIB-5

Prncple of Ray Reversbly: Any acual ray of lgh n an opcal sysem, f reversed n drecon, wll rerace he same pah backward Graphcally, he Reversbly Prncple can be represened as follows: 5 Toal Inernal Reflecon (TIR) and he Crcal Angle Consder he refracon (ransmsson) of a ray hrough an nerface beween wo meda of dfferen refracve ndees when he nde n he ncden medum s greaer han he nde n he ransmed medum (n > n ), and as he ncden angle θ s ncreased We see ha a some value of he angle of ncdence, called he crcal angle θ c, he ransmed angle becomes equal o π/2 (or 90 ) n θ θ θ π/2 90 n ( n > n ) θ c θ > θ c Accordng o Snell s Law, n snθ n snθ n sn( π 2 ) n c Therefore, we can wre he epresson for he crcal angle as follows: Crcal Angle: he angle of ncdence ha jus makes he angle of ransmsson equal o π/2, or n θ c arcsn for n > n n For ncden angles ha eceed he crcal angle, θ θ c, he lgh can no be ransmed, so all of he lgh s refleced Ths suaon s called Toal Inernal Reflecon, or TIR for shor Noce ha TIR assumes only specular reflecon occurs n pracce even mnue amouns of dffuse reflecon preven one from observng 00% reflecon IIB-6