Nonstandard Lorentz-Einstein transformations

Size: px
Start display at page:

Download "Nonstandard Lorentz-Einstein transformations"

Transcription

1 Nostadard Loretz-istei trasformatios Berhard Rothestei 1 ad Stefa Popesu 1) Politehia Uiversity of Timisoara, Physis Departmet, Timisoara, Romaia brothestei@gmail.om ) Siemes AG, rlage, Germay stefa.popesu@siemes.om Abstrat. The stadard Loretz trasformatios establish a relatioship betwee the spae-time oordiates of the same evet whe deteted from two iertial referee frames I ad I i the stadard arragemet. This evet is haraterized by the spaetime oordiates (x,t ) ad (x, t! ), t ad t! represetig the readigs of the stadard syhroized loks C(x) ad C (x ) loated i the two frames where the evet takes plae. We obtai the ostadard Loretz trasformatios establishig a physially orret relatioship betwee the readigs of the stadard syhroized loks ad the readigs of other loks (t a, t! a ) of the same iertial referee frames. This relatioship of the type t =f(x,t a ), t! ( x!, t! ) expresses the stadard Loretz a trasformatios as a futio of t a ad t! a respetively. We preset several ases of ostadard Loretz trasformatio (the ase of radar detetio, the ase whe oe referee frame is filled with a ideal trasparet dieletri ad the ase of relativity of the apparet, atual ad syhroized positios of the same movig partile). 1. Itrodutio Leuber, Aufiger ad Krumm 1 state that I view of persistig ofusio i the literature, it is ot surprise at all that the udergraduate ourse of speial relativity passes very swiftly over the questio of lok syhroizatio. So swiftly i fat, that the begier is left with the impressio that there exists a sigle ad essetially uique lok syhroizatio proedure (amely the stadard or istei proedure despite the qualifier ovetio used by the istrutor. As a osequee, studets (ad also may teahers) erroeously idetify the properties of spae-time with the familiar form that ertai syhroizatio depedet quatities assume uder the stadard syhroizatio (legth otratio, time dilatio). Stimulated by this statemet the teaher starts to prepare his ow leture o the subjet. Lookig for referees, he fids out that may approahes to the subjet are based o otios like base vetors 1, the wave equatio i a aisotropi spae. These oepts are ot i a easy reah for begiers ad they make little use of istei s speial relativity theory. A experieed teaher kows that suh approahes fid little audiee i a lass of studets who already kow about istei s speial relativity ad who osider that they are obliged to lear agai the subjet. He also likes to 1

2 avoid usig the oept of two-way speed of light, a oept used by some other approahes to the subjet. 3. Cosider the evets (x,y,z,t ) ad ( x!, y!, z!, t! ) deteted from the iertial referee frames I ad I i the stadard arragemet. The evets are haraterized by their Cartesia spae oordiates (x,y,z) ad (x,y,z ) ad by their time oordiates t ad t! respetively. If the two evets take plae at the same poit i spae ad the orrespodig time oordiates represet the readigs of two loks C(x,y,z) ad C (x,y,z ) loated at the poit where the evet takes plae, eah syhroized i its rest frame with the other loks of that referee frame followig a syhroizatio proedure proposed by istei 6, the the orrespodig spae-time oordiates are related by the stadard Loretz-istei trasformatios x! + t! x = (1) t! + x! t = () y = y! (3) z = z! (4) The iverse Loretz-istei trasformatios are obtaied by simply hagig the orrespodig uprimed physial quatities with primed oes ad hagig the sig of - the relative veloity of I ad I. The stadard Loretz-istei trasformatios are the osequees of the two postulates of istei s speial relativity theory: (I) The priiple of relativity: assertig the existee ad the equivalee of iertial referee frames. (II) The priiple of the ostay of the oe-way speed of light: assertig the ostay of the oe-way speed of light i empty spae relative to these frames. Otherwise stated the light propagates i all diretios of empty spae with the same speed. I order to obtai a ostadard Loretz trasformatio we establish a physially orret relatioship betwee the readig of the stadard syhroized lok ad the readig of aother lok at rest i the same iertial referee frame expressig the Loretz trasformatio as a futio of the readig of the later lok. Followig this strategy we have preseted reetly a simple approah to the osequees of Leuber s everyday lok

3 syhroizatio. 1 The aim of this paper is to preset several o-stadard Loretz trasformatios attrative by their simple ad trasparet shape.. Nostadard Loretz-istei trasformatios.1. Radar detetio of the spae-time oordiates of a evet The seario we follow is skethed i Figure 1. It is deteted from the iertial referee frame I i a two-spae dimesios approah. It ivolves the stadard syhroized loks of the I frame C (x y ) loated at the differet poits of the plae defied by the axes of I ad lok C! (0,0) 0 loated at the origi O, all displayig the same ruig time. Y' y'! ' r' O' C o ' S o ', x' X' Figure 1. Seario for the radar detetio of a evet as deteted from I. Whe lok C! 0 reads t! e, the soure of light S! (0,0) 0 loated at the origi O emits light sigals i all diretios. Oe of the light sigals emitted alog a diretio that makes a agle θ with the positive diretio of the O X axis arrives at the loatio of the lok C the positio of whih is defied by the Cartesia spae oordiates (x y ) or by the polar oordiates (r,θ ), r represetig the legth of the positio vetor ad θ the polar agle. Arrivig at lok C, the light sigal geerates the evet " ( x" = r" os!"; y" = r" si!"; t" = t" e + r" / ) haraterized by the spae oordiates x =r osθ ; y =r siθ ad by the time oordiate t! = t! e + r! /. Deteted from the iertial referee frame I, the same evet is haraterized by the spaeoordiates: / (os!" / ) t" x" t" e x = = r" r" / (5) y = y" = r " si! " (6) the legths of the positio vetors trasformig as: 3

4 / [( os!" + / ) + t" e] r = x + y = r" si!" + r " / (7) 1 # / The trasformatio equatios derived above are a typial example of ostadard Loretz-istei trasformatios whih eable observers from I to express the legth of the positio vetor r deteted from I as a futio of its legth deteted from I ad of the ruig time t! e displayed by the lok C! 0 whe the radar sigal is emitted ad ot as a futio of the time oordiate t! displayed by the lok loated where the sigal is reeived. If whe deteted from I the radar sigal propagates alog a diretio θ the whe deteted from I it propagates alog a diretio θ, the two agles beig related by: si! " y ta! = =. (8) x / os! " + + t" e r " / The time oordiates of the ivolved evets trasform as r" t" + x" t" (1 os ) e + +!" t = =. (9) Beause r t = te + (10) we obtai that the emissio times trasform as r" / t" e + (1 + os!") (os!" ) r" + + t si r / e = #!" + ". (11) I the partiular ase whe t!=0 e the trasformatio equatios (7) ad (9) derived above beome os!" r = r" (1) ad 4

5 os!" t = t" = Dt" (13) the trasformatio beig performed via the Doppler fator D defied as os!" D =. (14).. Loretz trasformatios for the ase whe the iertial referee frame I is filled with a ideal trasparet dieletri at rest relative to it. Cosider that the iertial referee frame I is at rest i a trasparet perfet dieletri haraterized by its proper refrative idex > 1. A light sigal propagates there alog the positive diretio of the O X axis with speed =. (15) Cosider that at a poit M (x ) loated o the O X axis we fid the loks C! ( x! ) ad C! ( x! ). The first oe is syhroized with lok 1 C! (0) 0 loated at the origi O followig istei s lok syhroizatio proedure ad we suppose that it displays a time: x! t! =. (16) Clok C! x ( x! ) is syhroized with lok C! (0) 0 usig a syhroizig sigal that propagates with speed =/ displayig a time x! t! =. (17) Combiig (16) ad (17) we obtai x! t! = t! + (1 " ). (18) Performig the Loretz trasformatios to the iertial referee frame I the result is: x! [1 + (1 " )] t! x = + (19) x! (1 ) t! " + t = +. (0) 5

6 Now hoose to be the refratio idex that makes equatio (0) idepedet of x i.e. 1! + = 0 (1) whih solves as = () ad so, i that partiular ase =. (3) Substitutio i (19) ad (0) gives t 1! x = x! " + (4) ad t! t =. (5) The iverse trasformatios obtaied by ombiig (4) ad (5) are x! t x" = (6) 1! t! = t. (7) x x The speeds u = ad u! = are related by t t u! u" = (8) 1! the iverse trasformatio beig (1 u ) = u! " +. (9) We have reovered that way the results obtaied by Selleri 4, Abreu ad Guerra 5. Selleri 4 derives the equatios we have obtaied above startig with the followig assumptios: (i) Spae is homogeeous ad isotropi ad time homogeeous, at list if judged by observers at rest i I: 6

7 (ii) I the isotropi system I the veloity of light is i all diretios, so that loks a be syhroized i I ad oe-way veloities relative to I a be measured; (iii) The origi of I, observed from I, is see to move with veloity < parallel to the +x axis, that is aordig to the equatio x=t; (iv) The axes of I ad I oiide for t=t =0; (v) The two-way veloity of light is the same i all diretios ad i all iertial systems; (vi) Clok retardatio takes plae with the usual veloity depedet fator whe loks move with respet to the isotropi referee frame I. The fat that our approah preseted above ad the oe proposed by Selleri lead to the same result is due to the fat that I is filled i our ase with a trasparet dieletri ad its loks are beig syhroized by a sigal propagatig with speed =/. Abreu ad Guerra 5 ad obtai similar results due to the fat that they derive equatio (6) as a result of the legth otratio effet ad equatio (7) as a result of the so alled exteral lok syhroizatio..3. Speial relativity ad the apparet, atual ad syhroized positios of the same partile, movig with ostat speed relative to I i the positive diretio of the OX axis. I order to keep the problem as simple as possible osider the oe spae dimesios seario skethed i Figure as deteted from I. Y a S C 0 O x a C a M a x X Y b S C 0 O M a x a X M a x Figure. Seario for the defiitio of apparet positio M a ad of the atual positio of the same partile movig with ostat speed i the positive diretio of the overlapped OX axis. 7

8 I Figure a M a (x a ) represets the loatio of a partile that moves with speed i the positive diretio of the OX axis whe the stadard syhroized loks of I read t=0. At same time a soure of light S(0) loated at the origi O i frame I emits a light sigal i the positive diretio of the OX axis. We all M a (x a ) the apparet positio of the movig partile. I Figure b M(x) represets the loatio of the same partile whe the light sigal arrives at poit M a. M(x) represets what we all the atual positio. The oordiates x a ad x are related by x = xa + xa (30) The evet a (x a,t a =x a /) is assoiated with the arrival of the light sigal at the apparet positio whereas the evet (x=x a (/),t a =x a /) is assoiated with the arrival of the partile at the atual positio ad the arrival of the light sigal at the apparet positio, the two evets beig simultaeous but takig plae at differet poits i spae. X x s x x a WL() D WL() C x a A B O t a Figure 3. A lassial spae-time diagram displays the evets assoiated with the apparet positio B, with the atual positio D ad with the syhroized positio C. Figure 3 illustrates the seario we propose o a lassial spae-time diagram o the axes of whih we measure the spae oordiates x ad the produt t betwee the speed of light i empty spae ad respetively the time oordiate of the ivolved evets. WL() represets the world lie of the light sigal emitted at t=0 from the origi O whereas WL() represets the world lie of the partile movig with speed desribed by (30). M a represets the evet assoiated with the apparet positio whereas M represets the evet assoiated with the atual positio. Performig the t s t 8

9 Loretz trasformatios of the spae-time oordiates of evet to the rest frame I of the movig partile we obtai: ad x! = xa[ " ] (31) 1 t! = ta[ " ]. (3) The itersetio of the world lies WL() ad WL() geerates the evet s haraterized by the spae oordiate x s obtaied from (30) xs = xa + xs (33) i.e. xa xs =. (34) 1! vet s is haraterized by a time oordiate t s =x s /. Performig the Loretz trasformatios to the rest frame of the movig partile I we obtai the ostadard Loretz trasformatios x! = s x a. (34) ta t! =. resultig that u! = us. (35) u! ad u s represetig the speeds of the same partile measured i I ad i I respetively. The loatio M s of the movig partile represets i this ase what we all the syhroized positio. 9

10 3. Colusios The importat otributio of our paper osists i the fat that it shows that the stadard Loretz trasformatios aout for the osequees of ay arbitrary but physially orret lok syhroizatio proedures. Moreover they lead to the orrespodig trasformatio equatios for the spae-time oordiates of the ivolved evets. Referees 1 C.Leuber,K.Aufiger ad P.Krumm, lemetary relativity with everyday lok syhroizatio, ur.j.phys. 13, (199) Abraham A.Ugar, Formalism to deal with Reihebah s speial theory of relativity, Foudatio of Physis, 1, (1991) 3 H.Reihebah, Axiomatizatio of the Theory of Relativity, tras.ad ed.by M.Reihebah, Uiversity of Califoria Press, Berkeley (1969) 4 F.Selleri, No-ivariat oe-way speed of light, Foudatios of Physis, 6, (1996) 5 Rodrigo de Abreu ad aso Guerra, Relativity :istei s lost frame, ]xtra[muros 005 ad referees therei. 10

ANOTHER PROOF FOR FERMAT S LAST THEOREM 1. INTRODUCTION

ANOTHER PROOF FOR FERMAT S LAST THEOREM 1. INTRODUCTION ANOTHER PROOF FOR FERMAT S LAST THEOREM Mugur B. RĂUŢ Correspodig author: Mugur B. RĂUŢ, E-mail: m_b_raut@yahoo.om Abstrat I this paper we propose aother proof for Fermat s Last Theorem (FLT). We foud

More information

Fluids Lecture 2 Notes

Fluids Lecture 2 Notes Fluids Leture Notes. Airfoil orte Sheet Models. Thi-Airfoil Aalysis Problem Readig: Aderso.,.7 Airfoil orte Sheet Models Surfae orte Sheet Model A aurate meas of represetig the flow about a airfoil i a

More information

Sx [ ] = x must yield a

Sx [ ] = x must yield a Math -b Leture #5 Notes This wee we start with a remider about oordiates of a vetor relative to a basis for a subspae ad the importat speial ase where the subspae is all of R. This freedom to desribe vetors

More information

THE MEASUREMENT OF THE SPEED OF THE LIGHT

THE MEASUREMENT OF THE SPEED OF THE LIGHT THE MEASUREMENT OF THE SPEED OF THE LIGHT Nyamjav, Dorjderem Abstrat The oe of the physis fudametal issues is a ature of the light. I this experimet we measured the speed of the light usig MihelsoÕs lassial

More information

Class #25 Wednesday, April 19, 2018

Class #25 Wednesday, April 19, 2018 Cla # Wedesday, April 9, 8 PDE: More Heat Equatio with Derivative Boudary Coditios Let s do aother heat equatio problem similar to the previous oe. For this oe, I ll use a square plate (N = ), but I m

More information

Chapter 8 Hypothesis Testing

Chapter 8 Hypothesis Testing Chapter 8 for BST 695: Speial Topis i Statistial Theory Kui Zhag, Chapter 8 Hypothesis Testig Setio 8 Itrodutio Defiitio 8 A hypothesis is a statemet about a populatio parameter Defiitio 8 The two omplemetary

More information

( ) which is a direct consequence of the relativistic postulate. Its proof does not involve light signals. [8]

( ) which is a direct consequence of the relativistic postulate. Its proof does not involve light signals. [8] The Speed of Light under the Generalized Transformations, Inertial Transformations, Everyday Clok Synhronization and the Lorentz- Einstein Transformations Bernhard Rothenstein Abstrat. Starting with Edwards

More information

ME260W Mid-Term Exam Instructor: Xinyu Huang Date: Mar

ME260W Mid-Term Exam Instructor: Xinyu Huang Date: Mar ME60W Mid-Term Exam Istrutor: Xiyu Huag Date: Mar-03-005 Name: Grade: /00 Problem. A atilever beam is to be used as a sale. The bedig momet M at the gage loatio is P*L ad the strais o the top ad the bottom

More information

STK4011 and STK9011 Autumn 2016

STK4011 and STK9011 Autumn 2016 STK4 ad STK9 Autum 6 ypothesis testig Covers (most of) the followig material from hapter 8: Setio 8. Setios 8.. ad 8..3 Setio 8.3. Setio 8.3. (util defiitio 8.3.6) Ørulf Borga Departmet of Mathematis Uiversity

More information

The Relationship of the Cotangent Function to Special Relativity Theory, Silver Means, p-cycles, and Chaos Theory

The Relationship of the Cotangent Function to Special Relativity Theory, Silver Means, p-cycles, and Chaos Theory Origial Paper Forma, 8, 49 6, 003 The Relatioship of the Cotaget Futio to Speial Relativity Theory, Silver Meas, p-yles, ad Chaos Theory Jay KAPPRAFF * ad Gary W ADAMSON New Jersey Istitute of Tehology,

More information

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution Chapter V ODE V.4 Power Series Solutio Otober, 8 385 V.4 Power Series Solutio Objetives: After the ompletio of this setio the studet - should reall the power series solutio of a liear ODE with variable

More information

Illustrating the relativity of simultaneity Bernhard Rothenstein 1), Stefan Popescu 2) and George J. Spix 3)

Illustrating the relativity of simultaneity Bernhard Rothenstein 1), Stefan Popescu 2) and George J. Spix 3) Illustrating the relativity of simultaneity ernhard Rothenstein 1), Stefan Popesu ) and George J. Spix 3) 1) Politehnia University of Timisoara, Physis Department, Timisoara, Romania, bernhard_rothenstein@yahoo.om

More information

4. Optical Resonators

4. Optical Resonators S. Blair September 3, 2003 47 4. Optial Resoators Optial resoators are used to build up large itesities with moderate iput. Iput Iteral Resoators are typially haraterized by their quality fator: Q w stored

More information

Digital Signal Processing. Homework 2 Solution. Due Monday 4 October Following the method on page 38, the difference equation

Digital Signal Processing. Homework 2 Solution. Due Monday 4 October Following the method on page 38, the difference equation Digital Sigal Proessig Homework Solutio Due Moda 4 Otober 00. Problem.4 Followig the method o page, the differee equatio [] (/4[-] + (/[-] x[-] has oeffiiets a0, a -/4, a /, ad b. For these oeffiiets A(z

More information

(8) 1f = f. can be viewed as a real vector space where addition is defined by ( a1+ bi

(8) 1f = f. can be viewed as a real vector space where addition is defined by ( a1+ bi Geeral Liear Spaes (Vetor Spaes) ad Solutios o ODEs Deiitio: A vetor spae V is a set, with additio ad salig o elemet deied or all elemets o the set, that is losed uder additio ad salig, otais a zero elemet

More information

Basic Probability/Statistical Theory I

Basic Probability/Statistical Theory I Basi Probability/Statistial Theory I Epetatio The epetatio or epeted values of a disrete radom variable X is the arithmeti mea of the radom variable s distributio. E[ X ] p( X ) all Epetatio by oditioig

More information

Chapter 4: Angle Modulation

Chapter 4: Angle Modulation 57 Chapter 4: Agle Modulatio 4.1 Itrodutio to Agle Modulatio This hapter desribes frequey odulatio (FM) ad phase odulatio (PM), whih are both fors of agle odulatio. Agle odulatio has several advatages

More information

SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES

SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES Sadro Adriao Fasolo ad Luiao Leoel Medes Abstrat I 748, i Itrodutio i Aalysi Ifiitorum, Leohard Euler (707-783) stated the formula exp( jω = os(

More information

Physics 3 (PHYF144) Chap 8: The Nature of Light and the Laws of Geometric Optics - 1

Physics 3 (PHYF144) Chap 8: The Nature of Light and the Laws of Geometric Optics - 1 Physis 3 (PHYF44) Chap 8: The Nature of Light ad the Laws of Geometri Optis - 8. The ature of light Before 0 th etury, there were two theories light was osidered to be a stream of partiles emitted by a

More information

). In accordance with the Lorentz transformations for the space-time coordinates of the same event, the space coordinates become

). In accordance with the Lorentz transformations for the space-time coordinates of the same event, the space coordinates become Relativity and quantum mehanis: Jorgensen 1 revisited 1. Introdution Bernhard Rothenstein, Politehnia University of Timisoara, Physis Department, Timisoara, Romania. brothenstein@gmail.om Abstrat. We first

More information

Principal Component Analysis. Nuno Vasconcelos ECE Department, UCSD

Principal Component Analysis. Nuno Vasconcelos ECE Department, UCSD Priipal Compoet Aalysis Nuo Vasoelos ECE Departmet, UCSD Curse of dimesioality typial observatio i Bayes deisio theory: error ireases whe umber of features is large problem: eve for simple models (e.g.

More information

Bernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2

Bernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2 Beroulli Numbers Beroulli umbers are amed after the great Swiss mathematiia Jaob Beroulli5-705 who used these umbers i the power-sum problem. The power-sum problem is to fid a formula for the sum of the

More information

Michelson's Repetition of the Fizeau Experiment:

Michelson's Repetition of the Fizeau Experiment: Mihelso's Repetitio of the Fizeau Experimet: A Review of the Derivatio ad Cofirmatio of Fresel's Drag Coeffiiet A. A. Faraj a_a_faraj@hotmail.om Abstrat: I this ivestigatio, Mihelso's 1886 repetitio of

More information

λ = 0.4 c 2nf max = n = 3orɛ R = 9

λ = 0.4 c 2nf max = n = 3orɛ R = 9 CHAPTER 14 14.1. A parallel-plate waveguide is kow to have a utoff wavelegth for the m 1 TE ad TM modes of λ 1 0.4 m. The guide is operated at wavelegth λ 1 mm. How may modes propagate? The utoff wavelegth

More information

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall Iteratioal Mathematical Forum, Vol. 9, 04, o. 3, 465-475 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/0.988/imf.04.48 Similarity Solutios to Usteady Pseudoplastic Flow Near a Movig Wall W. Robi Egieerig

More information

REVISION SHEET FP1 (MEI) ALGEBRA. Identities In mathematics, an identity is a statement which is true for all values of the variables it contains.

REVISION SHEET FP1 (MEI) ALGEBRA. Identities In mathematics, an identity is a statement which is true for all values of the variables it contains. The mai ideas are: Idetities REVISION SHEET FP (MEI) ALGEBRA Before the exam you should kow: If a expressio is a idetity the it is true for all values of the variable it cotais The relatioships betwee

More information

Inverse Matrix. A meaning that matrix B is an inverse of matrix A.

Inverse Matrix. A meaning that matrix B is an inverse of matrix A. Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix

More information

ESTIMATION OF MACHINING ERRORS ON GLEASON BEVEL

ESTIMATION OF MACHINING ERRORS ON GLEASON BEVEL 5 th INTERNATIONAL MEETING OF THE CARPATHIAN REGION SPECIALISTS IN THE FIELD OF GEARS ESTIMATION OF MACHINING ERRORS ON GLEASON BEVEL GEAR CUTTING BOB, Daila UNIO SA Satu Mare - 35, Luia Blaga Blvd, 39

More information

2. SCHWARZSCHILD GEOMETRY REVISITED The metric for Schwarzschild Geometry is given by, ) (1) For constant values of time we have, c r

2. SCHWARZSCHILD GEOMETRY REVISITED The metric for Schwarzschild Geometry is given by, ) (1) For constant values of time we have, c r urved Spae-Tie ad the Speed of Light aitra Palit uthor/teaher, P-54 Motijheel veue, Motijheel Housig ooperative soiety, Flat- 4, Kolkata-700074, Idia, Eail: palit.aaitra@gail.o Keywords: Shwarzshild Geoetry,

More information

REVISION SHEET FP1 (MEI) ALGEBRA. Identities In mathematics, an identity is a statement which is true for all values of the variables it contains.

REVISION SHEET FP1 (MEI) ALGEBRA. Identities In mathematics, an identity is a statement which is true for all values of the variables it contains. the Further Mathematics etwork wwwfmetworkorguk V 07 The mai ideas are: Idetities REVISION SHEET FP (MEI) ALGEBRA Before the exam you should kow: If a expressio is a idetity the it is true for all values

More information

Lesson 8 Refraction of Light

Lesson 8 Refraction of Light Physis 30 Lesso 8 Refratio of Light Refer to Pearso pages 666 to 674. I. Refletio ad Refratio of Light At ay iterfae betwee two differet mediums, some light will be refleted ad some will be refrated, exept

More information

Observer Design with Reduced Measurement Information

Observer Design with Reduced Measurement Information Observer Desig with Redued Measuremet Iformatio I pratie all the states aot be measured so that SVF aot be used Istead oly a redued set of measuremets give by y = x + Du p is available where y( R We assume

More information

Physics 30 Lesson 8 Refraction of Light

Physics 30 Lesson 8 Refraction of Light Physis 30 Lesso 8 Refratio of Light Refer to Pearso pages 666 to 674. I. Refletio ad refratio of light At ay iterfae betwee two differet mediums, some light will be refleted ad some will be refrated, exept

More information

Summation Method for Some Special Series Exactly

Summation Method for Some Special Series Exactly The Iteratioal Joural of Mathematis, Siee, Tehology ad Maagemet (ISSN : 39-85) Vol. Issue Summatio Method for Some Speial Series Eatly D.A.Gismalla Deptt. Of Mathematis & omputer Studies Faulty of Siee

More information

U8L1: Sec Equations of Lines in R 2

U8L1: Sec Equations of Lines in R 2 MCVU U8L: Sec. 8.9. Equatios of Lies i R Review of Equatios of a Straight Lie (-D) Cosider the lie passig through A (-,) with slope, as show i the diagram below. I poit slope form, the equatio of the lie

More information

We will conclude the chapter with the study a few methods and techniques which are useful

We will conclude the chapter with the study a few methods and techniques which are useful Chapter : Coordiate geometry: I this chapter we will lear about the mai priciples of graphig i a dimesioal (D) Cartesia system of coordiates. We will focus o drawig lies ad the characteristics of the graphs

More information

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j. Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α

More information

EconoQuantum ISSN: Universidad de Guadalajara México

EconoQuantum ISSN: Universidad de Guadalajara México EooQuatum ISSN: 1870-6622 equatum@uea.udg.mx Uiversidad de Guadalajara Méxio Plata Pérez, Leobardo; Calderó, Eduardo A modified versio of Solow-Ramsey model usig Rihard's growth futio EooQuatum, vol. 6,

More information

Production Test of Rotary Compressors Using Wavelet Analysis

Production Test of Rotary Compressors Using Wavelet Analysis Purdue Uiversity Purdue e-pubs Iteratioal Compressor Egieerig Coferee Shool of Mehaial Egieerig 2006 Produtio Test of Rotary Compressors Usig Wavelet Aalysis Haishui Ji Shaghai Hitahi Eletrial Appliatio

More information

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said

More information

R is a scalar defined as follows:

R is a scalar defined as follows: Math 8. Notes o Dot Product, Cross Product, Plaes, Area, ad Volumes This lecture focuses primarily o the dot product ad its may applicatios, especially i the measuremet of agles ad scalar projectio ad

More information

Principal Component Analysis

Principal Component Analysis Priipal Compoet Aalysis Nuo Vasoelos (Ke Kreutz-Delgado) UCSD Curse of dimesioality Typial observatio i Bayes deisio theory: Error ireases whe umber of features is large Eve for simple models (e.g. Gaussia)

More information

COMP26120: Introducing Complexity Analysis (2018/19) Lucas Cordeiro

COMP26120: Introducing Complexity Analysis (2018/19) Lucas Cordeiro COMP60: Itroduig Complexity Aalysis (08/9) Luas Cordeiro luas.ordeiro@mahester.a.uk Itroduig Complexity Aalysis Textbook: Algorithm Desig ad Appliatios, Goodrih, Mihael T. ad Roberto Tamassia (hapter )

More information

Lesson 4. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER)

Lesson 4. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER) Lesso 4 Thermomehaial Measuremets for Eergy Systems (MENR) Measuremets for Mehaial Systems ad Produtio (MMER) A.Y. 15-16 Zaaria (Rio ) Del Prete RAPIDITY (Dyami Respose) So far the measurad (the physial

More information

Lecture 8. Dirac and Weierstrass

Lecture 8. Dirac and Weierstrass Leture 8. Dira ad Weierstrass Audrey Terras May 5, 9 A New Kid of Produt of Futios You are familiar with the poitwise produt of futios de ed by f g(x) f(x) g(x): You just tae the produt of the real umbers

More information

Lecture 7: Polar representation of complex numbers

Lecture 7: Polar representation of complex numbers Lecture 7: Polar represetatio of comple umbers See FLAP Module M3.1 Sectio.7 ad M3. Sectios 1 ad. 7.1 The Argad diagram I two dimesioal Cartesia coordiates (,), we are used to plottig the fuctio ( ) with

More information

I. Existence of photon

I. Existence of photon I. Existee of photo MUX DEMUX 1 ight is a eletromageti wave of a high frequey. Maxwell s equatio H t E 0 E H 0 t E 0 H 0 1 E E E Aos( kzt ) t propagatig eletrial field while osillatig light frequey (Hz)

More information

The gravitational phenomena without the curved spacetime

The gravitational phenomena without the curved spacetime The gravitational phenomena without the urved spaetime Mirosław J. Kubiak Abstrat: In this paper was presented a desription of the gravitational phenomena in the new medium, different than the urved spaetime,

More information

U8L1: Sec Equations of Lines in R 2

U8L1: Sec Equations of Lines in R 2 MCVU Thursda Ma, Review of Equatios of a Straight Lie (-D) U8L Sec. 8.9. Equatios of Lies i R Cosider the lie passig through A (-,) with slope, as show i the diagram below. I poit slope form, the equatio

More information

MEI Casio Tasks for Further Pure

MEI Casio Tasks for Further Pure Task Complex Numbers: Roots of Quadratic Equatios. Add a ew Equatio scree: paf 2. Chage the Complex output to a+bi: LpNNNNwd 3. Select Polyomial ad set the Degree to 2: wq 4. Set a=, b=5 ad c=6: l5l6l

More information

Orthogonal transformations

Orthogonal transformations Orthogoal trasformatios October 12, 2014 1 Defiig property The squared legth of a vector is give by takig the dot product of a vector with itself, v 2 v v g ij v i v j A orthogoal trasformatio is a liear

More information

SOLID MECHANICS TUTORIAL BALANCING OF RECIPROCATING MACHINERY

SOLID MECHANICS TUTORIAL BALANCING OF RECIPROCATING MACHINERY SOLID MECHANICS TUTORIAL BALANCING OF RECIPROCATING MACHINERY This work covers elemets of the syllabus for the Egieerig Coucil Exam D5 Dyamics of Mechaical Systems. O completio of this tutorial you should

More information

Lemma Let f(x) K[x] be a separable polynomial of degree n. Then the Galois group is a subgroup of S n, the permutations of the roots.

Lemma Let f(x) K[x] be a separable polynomial of degree n. Then the Galois group is a subgroup of S n, the permutations of the roots. 15 Cubics, Quartics ad Polygos It is iterestig to chase through the argumets of 14 ad see how this affects solvig polyomial equatios i specific examples We make a global assumptio that the characteristic

More information

Chapter 1. Complex Numbers. Dr. Pulak Sahoo

Chapter 1. Complex Numbers. Dr. Pulak Sahoo Chapter 1 Complex Numbers BY Dr. Pulak Sahoo Assistat Professor Departmet of Mathematics Uiversity Of Kalyai West Begal, Idia E-mail : sahoopulak1@gmail.com 1 Module-2: Stereographic Projectio 1 Euler

More information

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER 1 018/019 DR. ANTHONY BROWN 8. Statistics 8.1. Measures of Cetre: Mea, Media ad Mode. If we have a series of umbers the

More information

The Random Walk For Dummies

The Random Walk For Dummies The Radom Walk For Dummies Richard A Mote Abstract We look at the priciples goverig the oe-dimesioal discrete radom walk First we review five basic cocepts of probability theory The we cosider the Beroulli

More information

Assignment 1 : Real Numbers, Sequences. for n 1. Show that (x n ) converges. Further, by observing that x n+2 + x n+1

Assignment 1 : Real Numbers, Sequences. for n 1. Show that (x n ) converges. Further, by observing that x n+2 + x n+1 Assigmet : Real Numbers, Sequeces. Let A be a o-empty subset of R ad α R. Show that α = supa if ad oly if α is ot a upper boud of A but α + is a upper boud of A for every N. 2. Let y (, ) ad x (, ). Evaluate

More information

Activity 3: Length Measurements with the Four-Sided Meter Stick

Activity 3: Length Measurements with the Four-Sided Meter Stick Activity 3: Legth Measuremets with the Four-Sided Meter Stick OBJECTIVE: The purpose of this experimet is to study errors ad the propagatio of errors whe experimetal data derived usig a four-sided meter

More information

Some examples of vector spaces

Some examples of vector spaces Roberto s Notes o Liear Algebra Chapter 11: Vector spaces Sectio 2 Some examples of vector spaces What you eed to kow already: The te axioms eeded to idetify a vector space. What you ca lear here: Some

More information

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx) Cosider the differetial equatio y '' k y 0 has particular solutios y1 si( kx) ad y cos( kx) I geeral, ay liear combiatio of y1 ad y, cy 1 1 cy where c1, c is also a solutio to the equatio above The reaso

More information

Principle Of Superposition

Principle Of Superposition ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give

More information

Appendix: The Laplace Transform

Appendix: The Laplace Transform Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio

More information

ε > 0 N N n N a n < ε. Now notice that a n = a n.

ε > 0 N N n N a n < ε. Now notice that a n = a n. 4 Sequees.5. Null sequees..5.. Defiitio. A ull sequee is a sequee (a ) N that overges to 0. Hee, by defiitio of (a ) N overges to 0, a sequee (a ) N is a ull sequee if ad oly if ( ) ε > 0 N N N a < ε..5..

More information

On the description of electromagnetic fields in slow moving media Abstract. Key words 1. Introduction

On the description of electromagnetic fields in slow moving media  Abstract. Key words 1. Introduction O the desriptio of eletromageti fields i slow movig media Rozov Adrey Leoidovih St. Petersburg State Polytehi Uiversity Pargolovskaya st., 0-40, St. Petersburg, Russia, 9400 E-mail: rozov20@mail.ru\ Abstrat.

More information

Nonparametric Goodness-of-Fit Tests for Discrete, Grouped or Censored Data 1

Nonparametric Goodness-of-Fit Tests for Discrete, Grouped or Censored Data 1 Noparametri Goodess-of-Fit Tests for Disrete, Grouped or Cesored Data Boris Yu. Lemeshko, Ekateria V. Chimitova ad Stepa S. Kolesikov Novosibirsk State Tehial Uiversity Departmet of Applied Mathematis

More information

Basic Waves and Optics

Basic Waves and Optics Lasers ad appliatios APPENDIX Basi Waves ad Optis. Eletromageti Waves The eletromageti wave osists of osillatig eletri ( E ) ad mageti ( B ) fields. The eletromageti spetrum is formed by the various possible

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

Homework 6: Forced Vibrations Due Friday April 6, 2018

Homework 6: Forced Vibrations Due Friday April 6, 2018 EN40: Dyais ad Vibratios Hoework 6: Fored Vibratios Due Friday April 6, 018 Shool of Egieerig Brow Uiversity 1. The vibratio isolatio syste show i the figure has 0kg, k 19.8 kn / 1.59 kns / If the base

More information

APPENDIX F Complex Numbers

APPENDIX F Complex Numbers APPENDIX F Complex Numbers Operatios with Complex Numbers Complex Solutios of Quadratic Equatios Polar Form of a Complex Number Powers ad Roots of Complex Numbers Operatios with Complex Numbers Some equatios

More information

Chimica Inorganica 3

Chimica Inorganica 3 himica Iorgaica Irreducible Represetatios ad haracter Tables Rather tha usig geometrical operatios, it is ofte much more coveiet to employ a ew set of group elemets which are matrices ad to make the rule

More information

CATHOLIC JUNIOR COLLEGE General Certificate of Education Advanced Level Higher 2 JC2 Preliminary Examination MATHEMATICS 9740/01

CATHOLIC JUNIOR COLLEGE General Certificate of Education Advanced Level Higher 2 JC2 Preliminary Examination MATHEMATICS 9740/01 CATHOLIC JUNIOR COLLEGE Geeral Certificate of Educatio Advaced Level Higher JC Prelimiary Examiatio MATHEMATICS 9740/0 Paper 4 Aug 06 hours Additioal Materials: List of Formulae (MF5) Name: Class: READ

More information

Abstract. Fermat's Last Theorem Proved on a Single Page. "The simplest solution is usually the best solution"---albert Einstein

Abstract. Fermat's Last Theorem Proved on a Single Page. The simplest solution is usually the best solution---albert Einstein Copyright A. A. Frempog Fermat's Last Theorem Proved o a Sigle Page "5% of the people thik; 0% of the people thik that they thik; ad the other 85% would rather die tha thik."----thomas Ediso "The simplest

More information

The beta density, Bayes, Laplace, and Pólya

The beta density, Bayes, Laplace, and Pólya The beta desity, Bayes, Laplae, ad Pólya Saad Meimeh The beta desity as a ojugate form Suppose that is a biomial radom variable with idex ad parameter p, i.e. ( ) P ( p) p ( p) Applyig Bayes s rule, we

More information

Thermodynamics of the Primary Eigen Gas and the Postulates of Quantum Mechanics

Thermodynamics of the Primary Eigen Gas and the Postulates of Quantum Mechanics Thermodyamis of the Primary Eige Gas ad the Postulates of Quatum Mehais V.A.I. Meo, Gujarat Uiversity Campus, Ahmedabad-380009, Idia. Abstrat The author shows that that for eah quatum mehaial property

More information

Tennessee Department of Education

Tennessee Department of Education Teessee Departmet of Educatio Task: Comparig Shapes Geometry O a piece of graph paper with a coordiate plae, draw three o-colliear poits ad label them A, B, C. (Do ot use the origi as oe of your poits.)

More information

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations Differece Equatios to Differetial Equatios Sectio. Calculus: Areas Ad Tagets The study of calculus begis with questios about chage. What happes to the velocity of a swigig pedulum as its positio chages?

More information

The Quantization of Special and General Relativity

The Quantization of Special and General Relativity The Qatizatio of Speial ad Geeral Relatiity Azzam AlMosallami Abstrat I this paper I propose a qatizatio of geeral relatiity of Eistei whih leads to photo mediates graitatio. My qatizatio of GR depeds

More information

Mass Transfer Chapter 3. Diffusion in Concentrated Solutions

Mass Transfer Chapter 3. Diffusion in Concentrated Solutions Mass Trasfer Chapter 3 Diffusio i Coetrated Solutios. Otober 07 3. DIFFUSION IN CONCENTRATED SOLUTIONS 3. Theor Diffusio auses ovetio i fluids Covetive flow ours beause of pressure gradiets (most ommo)

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

= 47.5 ;! R. = 34.0 ; n air =

= 47.5 ;! R. = 34.0 ; n air = Setio 9: Refratio ad Total Iteral Refletio Tutorial Pratie, page 449 The agle of iidee is 65 The fat that the experimet takes plae i water does ot hage the agle of iidee Give:! i = 475 ;! R = 340 ; air

More information

Analog Filter Synthesis

Analog Filter Synthesis 6 Aalog Filter Sythesis Nam Pham Aubur Uiversity Bogda M. Wilamowsi Aubur Uiversity 6. Itrodutio...6-6. Methods to Sythesize Low-Pass Filter...6- Butterworth Low-Pass Filter Chebyshev Low-Pass Filter Iverse

More information

11 Correlation and Regression

11 Correlation and Regression 11 Correlatio Regressio 11.1 Multivariate Data Ofte we look at data where several variables are recorded for the same idividuals or samplig uits. For example, at a coastal weather statio, we might record

More information

Generalized Semi- Markov Processes (GSMP)

Generalized Semi- Markov Processes (GSMP) Geeralized Semi- Markov Processes (GSMP) Summary Some Defiitios Markov ad Semi-Markov Processes The Poisso Process Properties of the Poisso Process Iterarrival times Memoryless property ad the residual

More information

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences A Uiversity of Califoria at Berkeley College of Egieerig Departmet of Electrical Egieerig ad Computer Scieces U N I V E R S T H E I T Y O F LE T TH E R E B E LI G H T C A L I F O R N 8 6 8 I A EECS : Sigals

More information

NUMERICAL METHODS FOR SOLVING EQUATIONS

NUMERICAL METHODS FOR SOLVING EQUATIONS Mathematics Revisio Guides Numerical Methods for Solvig Equatios Page 1 of 11 M.K. HOME TUITION Mathematics Revisio Guides Level: GCSE Higher Tier NUMERICAL METHODS FOR SOLVING EQUATIONS Versio:. Date:

More information

Appendix F: Complex Numbers

Appendix F: Complex Numbers Appedix F Complex Numbers F1 Appedix F: Complex Numbers Use the imagiary uit i to write complex umbers, ad to add, subtract, ad multiply complex umbers. Fid complex solutios of quadratic equatios. Write

More information

Société de Calcul Mathématique SA Mathematical Modelling Company, Corp.

Société de Calcul Mathématique SA Mathematical Modelling Company, Corp. oiété de Calul Mathéatique A Matheatial Modellig Copay, Corp. Deisio-aig tools, sie 995 iple Rado Wals Part V Khihi's Law of the Iterated Logarith: Quatitative versios by Berard Beauzay August 8 I this

More information

2 Geometric interpretation of complex numbers

2 Geometric interpretation of complex numbers 2 Geometric iterpretatio of complex umbers 2.1 Defiitio I will start fially with a precise defiitio, assumig that such mathematical object as vector space R 2 is well familiar to the studets. Recall that

More information

The Mechanics of Adding Velocities 2011 Robert D. Tieman

The Mechanics of Adding Velocities 2011 Robert D. Tieman The Mehais of Addig Veloities 011 Robert D. Tiema We must ow aalyze the qualities assoiated with addig eloities with respet to our urret uderstadig of the mehais of motio. We begi by aalyzig that whih

More information

International Contest-Game MATH KANGAROO Canada, Grade 11 and 12

International Contest-Game MATH KANGAROO Canada, Grade 11 and 12 Part A: Each correct aswer is worth 3 poits. Iteratioal Cotest-Game MATH KANGAROO Caada, 007 Grade ad. Mike is buildig a race track. He wats the cars to start the race i the order preseted o the left,

More information

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A.

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A. Radom Walks o Discrete ad Cotiuous Circles by Jeffrey S. Rosethal School of Mathematics, Uiversity of Miesota, Mieapolis, MN, U.S.A. 55455 (Appeared i Joural of Applied Probability 30 (1993), 780 789.)

More information

International Journal of Scientific & Engineering Research, Volume 5, Issue 10, October-2014 ISSN

International Journal of Scientific & Engineering Research, Volume 5, Issue 10, October-2014 ISSN Iteratioal Joral of Sietifi & Egieerig Researh, olme 5, Isse, Otober-4 ISSN 9-558 45 The Qatizatio of Geeral Relatiity: Photo Mediates Graitatio Azzam AlMosallami I this paper I propose a qatizatio of

More information

The Boolean Ring of Intervals

The Boolean Ring of Intervals MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,

More information

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer. 6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio

More information

How to Maximize a Function without Really Trying

How to Maximize a Function without Really Trying How to Maximize a Fuctio without Really Tryig MARK FLANAGAN School of Electrical, Electroic ad Commuicatios Egieerig Uiversity College Dubli We will prove a famous elemetary iequality called The Rearragemet

More information

Notes for Lecture 5. 1 Grover Search. 1.1 The Setting. 1.2 Motivation. Lecture 5 (September 26, 2018)

Notes for Lecture 5. 1 Grover Search. 1.1 The Setting. 1.2 Motivation. Lecture 5 (September 26, 2018) COS 597A: Quatum Cryptography Lecture 5 (September 6, 08) Lecturer: Mark Zhadry Priceto Uiversity Scribe: Fermi Ma Notes for Lecture 5 Today we ll move o from the slightly cotrived applicatios of quatum

More information

n m CHAPTER 3 RATIONAL EXPONENTS AND RADICAL FUNCTIONS 3-1 Evaluate n th Roots and Use Rational Exponents Real nth Roots of a n th Root of a

n m CHAPTER 3 RATIONAL EXPONENTS AND RADICAL FUNCTIONS 3-1 Evaluate n th Roots and Use Rational Exponents Real nth Roots of a n th Root of a CHAPTER RATIONAL EXPONENTS AND RADICAL FUNCTIONS Big IDEAS: 1) Usig ratioal expoets ) Performig fuctio operatios ad fidig iverse fuctios ) Graphig radical fuctios ad solvig radical equatios Sectio: Essetial

More information

Chapter Vectors

Chapter Vectors Chapter 4. Vectors fter readig this chapter you should be able to:. defie a vector. add ad subtract vectors. fid liear combiatios of vectors ad their relatioship to a set of equatios 4. explai what it

More information

Chapter 5: Take Home Test

Chapter 5: Take Home Test Chapter : Take Home Test AB Calulus - Hardtke Name Date: Tuesday, / MAY USE YOUR CALCULATOR FOR THIS PAGE. Roud aswers to three plaes. Sore: / Show diagrams ad work to justify eah aswer.. Approimate the

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information