The Theory of Small Reflections

Similar documents
5.4 The Quarter-Wave Transformer

Multi-Section Coupled Line Couplers

The Frequency Response of a Quarter-Wave Matching Network

The Propagation Series

The Propagation Series

Instructions for Section 1

7.6 Coupled-Line Directional Couplers

5.4 The Quarter-Wave Transformer

CIVL 8/ D Boundary Value Problems - Rectangular Elements 1/7

ECE 344 Microwave Fundamentals

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x)

GUC (Dr. Hany Hammad) 9/28/2016

Last time: introduced our first computational model the DFA.

Lecture contents. Bloch theorem k-vector Brillouin zone Almost free-electron model Bands Effective mass Holes. NNSE 508 EM Lecture #9

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca**

MASSACHUSETTS INSTITUTE OF TECHNOLOGY HAYSTACK OBSERVATORY WESTFORD, MASSACHUSETTS

1 Introduction to Modulo 7 Arithmetic

Floating Point Number System -(1.3)

Floating Point Number System -(1.3)

CSE303 - Introduction to the Theory of Computing Sample Solutions for Exercises on Finite Automata

Section 3: Antiderivatives of Formulas

Chapter 16. 1) is a particular point on the graph of the function. 1. y, where x y 1

Section 5.1/5.2: Areas and Distances the Definite Integral

PH427/PH527: Periodic systems Spring Overview of the PH427 website (syllabus, assignments etc.) 2. Coupled oscillations.

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued...

UNIT # 08 (PART - I)

ELEG 413 Lecture #6. Mark Mirotznik, Ph.D. Professor The University of Delaware

UNTYPED LAMBDA CALCULUS (II)

Signal Flow Graphs. Consider a complex 3-port microwave network, constructed of 5 simpler microwave devices:

10. The Discrete-Time Fourier Transform (DTFT)

Ch 1.2: Solutions of Some Differential Equations

Ch. 24 Molecular Reaction Dynamics 1. Collision Theory

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture:

4.5 Signal Flow Graphs

FSA. CmSc 365 Theory of Computation. Finite State Automata and Regular Expressions (Chapter 2, Section 2.3) ALPHABET operations: U, concatenation, *

Limits Indeterminate Forms and L Hospital s Rule

Impedance Transformation and Parameter Relations

Linear Algebra Existence of the determinant. Expansion according to a row.

Steady-state tracking & sys. types

Chem 104A, Fall 2016, Midterm 1 Key

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II

SOLVED EXAMPLES. be the foci of an ellipse with eccentricity e. For any point P on the ellipse, prove that. tan

The Angular Momenta Dipole Moments and Gyromagnetic Ratios of the Electron and the Proton

Elliptical motion, gravity, etc

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

Chapter 3 Fourier Series Representation of Periodic Signals

General Notes About 2007 AP Physics Scoring Guidelines

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 8: Effect of a Vertical Field on Tokamak Equilibrium

Unbalanced Panel Data Models

Linear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let

Integration by Parts

How much air is required by the people in this lecture theatre during this lecture?

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.

Decimals DECIMALS.

Lectures 2 & 3 - Population ecology mathematics refresher

The Matrix Exponential

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex.

Revisiting what you have learned in Advanced Mathematical Analysis

ASSERTION AND REASON

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

SOLVED EXAMPLES. Ex.1 If f(x) = , then. is equal to- Ex.5. f(x) equals - (A) 2 (B) 1/2 (C) 0 (D) 1 (A) 1 (B) 2. (D) Does not exist = [2(1 h)+1]= 3

The Matrix Exponential

Theoretical Study on the While Drilling Electromagnetic Signal Transmission of Horizontal Well

The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find

Y 0. Standing Wave Interference between the incident & reflected waves Standing wave. A string with one end fixed on a wall

What do you know? Listen and find. Listen and circle. Listen and chant. Listen and say. Lesson 1. sheep. horse

Chapter 10. The singular integral Introducing S(n) and J(n)

Winter 2016 COMP-250: Introduction to Computer Science. Lecture 23, April 5, 2016

EECE 301 Signals & Systems Prof. Mark Fowler

TOPIC 5: INTEGRATION

page 11 equation (1.2-10c), break the bar over the right side in the middle

Department of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis

Einstein Equations for Tetrad Fields

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS

CHAPTER 10. Consider the transmission lines for voltage and current as developed in Chapter 9 from the distributed equivalent circuit shown below.

Chapter 7b Electron Spin and Spin- Orbit Coupling

Basic Polyhedral theory

12/3/12. Outline. Part 10. Graphs. Circuits. Euler paths/circuits. Euler s bridge problem (Bridges of Konigsberg Problem)

EEO 401 Digital Signal Processing Prof. Mark Fowler

5/9/13. Part 10. Graphs. Outline. Circuits. Introduction Terminology Implementing Graphs

Handout 7. Properties of Bloch States and Electron Statistics in Energy Bands

Using the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas

Fundamental Algorithms for System Modeling, Analysis, and Optimization

Design Guidelines for Quartz Crystal Oscillators. R 1 Motional Resistance L 1 Motional Inductance C 1 Motional Capacitance C 0 Shunt Capacitance

Q.28 Q.29 Q.30. Q.31 Evaluate: ( log x ) Q.32 Evaluate: ( ) Q.33. Q.34 Evaluate: Q.35 Q.36 Q.37 Q.38 Q.39 Q.40 Q.41 Q.42. Q.43 Evaluate : ( x 2) Q.

Sliding Mode Flow Rate Observer Design

Planar Upward Drawings

As the matrix of operator B is Hermitian so its eigenvalues must be real. It only remains to diagonalize the minor M 11 of matrix B.

# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths.

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS

Multipoint Alternate Marking method for passive and hybrid performance monitoring

Errata for Second Edition, First Printing

Coupled Pendulums. Two normal modes.

I. The Connection between Spectroscopy and Quantum Mechanics

Walk Like a Mathematician Learning Task:

The Z transform techniques

Transcription:

Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions /9 Th Thory of Smll Rflctions Rcll tht w nlyzd qurtr-wv trnsformr usg th multil rflction viw ot. V ( z) = + β ( z + ) V ( z) = = R + β ( z + ) R = λ 4 W found tht th solution could thus writtn s n fit summtion of trms (th rogtion sris): = n n = whr ch trm hd scific hysicl trrttion, trms of rflctions, trnsmissions, nd rogtions. For xml, th third trm ws th: 3 R R

Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions /9 ( ) 3 = β Now lt s considr th mgnitud of this th: 5 5 3 = = Rcll tht = for rorly dsignd qurtr-wv trnsformr : R = = R + nd so: 3 = = 3 For th cs whr vlus R nd r numriclly clos i.., whn: R R + w fd tht th mgnitud of th rflction coffict will vry smll: R =. R + As rsult, th vlu 3 will vry, vry, vry smll.

Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions 3/9 Morovr, w know (sc th connctor is losslss) tht: nd so: = + = + = W cn thus conclud tht th mgnitud of th 3 is likwis vry, vry, vry smll: 3 3 3 = This is clssic cs whr w cn roximt th rogtion sris usg only th forwrd ths!! Rcll thr r two forwrd ths: R R ( + ) β ( ) = + = =

Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions 4/9 Thrfor IF nd R r vry clos vlu, w fd tht w cn roximt th rflctd wv usg only th dirct ths of th fit sris: Thrfor: ( + ) β ( ) = + V ( z ) = + β ( z + ) β + β( z + ) ( ) + Now, if w likwis ly th roximtion tht., w conclud for this qurtr wv trnsformr (t th dsign frquncy): + Thrfor: V ( z ) = ( ) β ( ) = + + β ( z + ) β + β( z + ) ( ) +

Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions 5/9 This roximtion, whr w:. us only th dirct ths to clcult th rogtion sris,. roximt th trnsmission cofficts s on (i.., = ). is known s th Thory of Smll Rflctions, nd llows us to us th rogtion sris s n nlysis tool (w don t hv to considr n fit numr of trms!). Considr g th qurtr-wv mtchg ntwork SFG. Not thr is on rnch ( = S of th connctor), tht is not cludd ithr dirct th. = =

Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions 6/9 With rsct to th thory of smll rflctions (whr only dirct ths r considrd), this rnch cn rmovd from th SFG without ffct. = = Morovr, th thory of smll rflctions imlmnts th roximtion =, so tht th SFG coms:. β =. Rducg this SFG y comg th. rnch nd th β rnch vi th sris rul, w gt th followg roximt SFG: β = =+ = β β Th roximt SFG whn lyg th thory of smll rflctions!

Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions 7/9 Not this roximt SFG rovids rcisly th rsults of th thory of smll rflctions! Q: Why is tht? A: Th roximt thory of smll rflctions SFG Conts ll of th significnt hysicl rogtion mchnisms of th two forwrd ths, nd only th two significnt rogtion mchnisms of th two forwrd ths. Nmly:. Th rflction t th connctor (i.., ).. Th rogtion down th qurtr-wv trnsmission l ( β ), th rflction off th lod ( ), nd th rogtion ck u th qurtr-wv trnsmission l ( β ). R R Th roximt SFG whn lyg th thory of smll rflctions!

Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions 8/9 From sris rul From rlll rul + Q: But wit! Th qurtr-wv trnsformr is mtchg ntwork, thrfor =. Th thory of smll rflctions, howvr, rovids th roximt rsult: + β Is this roximtion vry ccurt? How clos is this roximt vlu to th corrct nswr of =? A: t s fd out! Rcll tht = for rorly dsignd qurtr-wv mtchg ntwork, nd so: + = + ( ) ikwis, = λ 4 (ut only t th dsign frquncy!) so tht: whr you of cours rcll tht π λ β = = π λ 4 β = π λ!

Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions 9/9 Thus: + = + ( β ) ( π ) ( ) = =!!! Q: Wow! Th thory of smll rflctions rs to rfct roximtion no rror t ll!?! A: Not so fst. Th thory of smll rflctions most dfitly rovids n roximt solution (.g., it ignors most of th trms of th rogtion sris, nd it roximts connctor trnsmission s =, whn fct ). As rsult, th solutions drivd usg th thory of smll rflctions will gnrlly skg xhiit som (hofully smll) rror. W ust got it lucky for th qurtr-wv mtchg ntwork; th roximt rsult = ws xct for this on cs! Th thory of smll rflctions is n roximt nlysis tool!