Higher Maths A1.3 Recurrence Relations - Revision
|
|
- Alexandra Simpson
- 5 years ago
- Views:
Transcription
1 Higher Maths A Recrrence Relations - Revision This revision pack covers the skills at Unit Assessment exam level or Recrrence Relations so yo can evalate yor learning o this otcome It is important that yo prepare or Unit Assessments bt yo shold also remember that the inal exam is considerably more challenging, ths practice o exam content throghot the corse is essential or sccess The SQA does not crrently allow or the creation o practice assessments that mirror the real assessments so yo shold make sre yor knowledge covers the sb skills listed below in order to achieve sccess in assessments as these revision packs may not cover every possible qestion that cold arise in an assessment Topic Unit Sb skills Revision pack Qestions Recrrence Relations A Determining a recrrence relation rom given inormation sing it to calclate a reqired term Finding interpreting the limit o a seqence, where it exists,,, 6, 7, Heinemann Textbook D, - 0 H When attempting a qestion, this key will give yo additional important inormation Key Note Qestion is at nit assessment level, a similar qestion cold appear in a nit assessment or an exam Qestion is at exam level, a qestion o similar diiclty will only appear in an exam # * The qestion incldes a reasoning element typically makes a qestion more challenging Both the Unit Assessment exam will have reasoning qestions I a star is placed beside one o the above symbols that indicates the qestion involves sb skills rom previosly learned topics I yo strggle with this qestion yo shold go back review that topic, reerence to the topic will be in the marking scheme Qestion shold be completed withot a calclator Qestion shold be completed with a calclator Qestions in this pack will be ordered by sb skill typically will start o easier then get more challenging Some qestions may also cover several sb skills rom this otcome or even inclde sb skills rom previosly learned topics (denoted with a *) Qestions are gathered rom mltiple sorces inclding ones we have created rom past papers Extra challenge qestions are or extension are not essential or either Unit Assessment or exam preparation JGHS H A Revision
2 FORMULAE LIST ircle: The eqation y gx y c 0 g c x represents a circle centre The eqation x a y b r represents a circle centre a, b g, radis r radis Scalar Prodct: ab a b cos, where is the angle between a b or ab ab ab ab where a a a a b b b b Trigonometric ormlae: sin A B cosa B sin Acos B cos Asin B cos Acos B sin Asin B sin A sin Acos A cos A cos A sin A cos sin A A Table o stard derivatives: x x sin ax cos ax acos ax asin ax Table o stard integrals: x xdx sin ax cos ax cos ax a sin a ax JGHS H A Revision
3 Q Qestions Marks A seqence is deined by the recrrence relation n+ = n + 8 with 0 = Evalate A seqence is deined by the recrrence relation n+ = n + 6 with 0 = 0 What is the limit o the seqence? A patient is injected with 6ml o a drg Every 8 hors, % o the drg passes ot o the bloodstream To compensate, a rther ml dose is given every 8 hors (a) Find a recrrence relation or the amont o drg in the bloodstream (b) Use yor answer to calclate the amont o drg remaining ater hors A seqence is deined by the recrrence relation n 08, (a) (b) State why this seqence has a limit Find this limit n 0 A pond is treated weekly with a chemical to ensre that the nmber o bacteria is kept low It is estimated that the chemical kills 68% o all bacteria Between the weekly treatments, it is estimated that 600 million new bacteria appear There are n million bacteria at the start o a particlar week (a) Write down a recrrence relation or n+, the nmber o millions o bacteria at the start o the next week (b) Find the limit o the seqence generated by this recrrence relation explain what the limit means in the context o this qestion 6 A seqence is deined by the recrrence relation n = 0 n- +, = (a) alclate the vale o (b) What is the smallest vale o n or which n > 0? (c) Find the limit o this seqence as n 7 A seqence is deined by the recrrence relation constants with, n a b where a n b are (a) Find algebraically the vales o a (b) Hence ind the vale o (c) Find the vale o b JGHS H A Revision
4 8 Two seqences are deined by the recrrence relations n+ = 0 n + p, 0 = v n+ = 06v n + q, v 0 = I both seqences have the same limit, express p in terms o q # Two seqences are generated by the recrrence relations: n+ = a n + 0 v n+ = a v n + 6 The two seqences approach the same limit as n Determine the vale o a evalate the limit 0 (a) A seqence is deined by n+ = n, with 0 = 6 Write down the vales o (b) A second seqence is given by,, 7,, It is generated by the recrrence relation v n+ = pv n + q, with v = Find the vales o p q (c) Either the seqence in (a) the seqence in (b) has a limit (i) (ii) alclate this limit Why does the other seqence not have a limit? (a) The terms o a seqence satisy n+ = k n- + Find the vale o k which prodces a seqence with a limit o Find the vale o k (b) A seqence satisies the recrrence relation, n m n 0 (i) Express in terms o m (ii) Given that 7, ind the vale o m which prodces a seqence with no limit [END OF REVISION QUESTIONS] [Go to next page or the Marking Scheme] JGHS H A Revision
5 Where sitable, yo shold always ollow throgh an error as yo may still gain partial credit I yo are nsre how to do this ask yor teacher Q Marking Scheme Sbstitte correctly evalate = () + 8 = 6 Evalate = (6) + 8 = Sbstitte into limit ormla L = 6 Evalate limit L = 0 (a) orrect orm o a recrrence relation n+ = n + (or n = n + ) 0 = orrect vales in recrrence relation n+ = 078 n +, 0 = 6 (b) Know to calclate Evidenced in working alclate correctly 7ml (a) orrect statement Limit exists as -<08< (b) Evalate the limit L = 08 = 0 Mst explicitly state vale 08 that it mst be greater than - less than (a) orrect recrrence relation n+ = 0 n (b) Know to calclate Evidenced in working Sbstitte into limit ormla L = Evalate limit L = 88 Limit in context In the long term the amont o bacteria in the pond will settle arond 88 million 6 (a) alclate correctly = 6 (b) orrect vale or n n = 6 (c) Sbstitte into limit ormla L = Evalate limit L = 0 0 JGHS H A Revision
6 7 # (a) Interpret Inormation a b Interpret Inormation 7 a b Solve to ind a (b) Find b a 8 b ( ) ( ) 7 (c) orrect strategy 6 Find Simltaneos eqations is the sggested method o solving the two eqations 8 Limit o v L = p 0 Knowing to eqate limits starting simpliication Writing p in terms o q (mst be lly simpliied) p 08 = q 0 p = q L = q 06 Limit o v L = 0 a Knowing to eqate limits starting simpliication L = 6 a Qadratic eqated to zero 0a 6a + 6 = 0 Solve qadratic a = 06 or a = Select appropriate vale with explanation 0 a = 6 a = 0( a ) = 6( a) as limit exists a, so a=06 JGHS H A Revision
7 0 (a) Evalate 8 (b) Interpret inormation p q Interpret inormation 7 p q (or 7 p q ) Solve (c) Start to ind limit o irst seqence p 0 q 6 Evalate limit 6 0 (ii) 7 Explain why the nd seqence has no limit 7 For a limit to exist a Since the nd seqence has no limit p In (c) I yo calclate a limit or the nd seqence, all marks are not available (a) Sitable strategy Solve (b) Find an expression or Find an expression or (ii) ompare vales or solve start to k ( k) k m m k m k 0 m m m(m ) m m m 7 m 0 6 Solve eqation 6 m m 0 So m or m 7 Select correct vale 7 For a limit to exist a So m [END OF MARKING SHEME] [END OF REVISION QUESTIONS] JGHS H A Revision
m = Average Rate of Change (Secant Slope) Example:
Average Rate o Change Secant Slope Deinition: The average change secant slope o a nction over a particlar interval [a, b] or [a, ]. Eample: What is the average rate o change o the nction over the interval
More informationIntegration of Basic Functions. Session 7 : 9/23 1
Integration o Basic Fnctions Session 7 : 9/3 Antiderivation Integration Deinition: Taking the antiderivative, or integral, o some nction F(), reslts in the nction () i ()F() Pt simply: i yo take the integral
More informationN5 EF1.1 Surds and Indices - Revision
N EF Surds and Indices - Revision This revision pack covers the skills at Unit Assessment and exam level for Surds and Indices so you can evaluate your learning of this outcome. It is important that you
More informationN5 R1.2 and R1.3 Quadratics - Revision
N5 R and R3 Quadratics - Revision This revision pack covers the skills at Unit Assessment and exam level for Quadratics so you can evaluate your learning of this outcome. It is important that you prepare
More informationMath 116 First Midterm October 14, 2009
Math 116 First Midterm October 14, 9 Name: EXAM SOLUTIONS Instrctor: Section: 1. Do not open this exam ntil yo are told to do so.. This exam has 1 pages inclding this cover. There are 9 problems. Note
More informationSection 7.4: Integration of Rational Functions by Partial Fractions
Section 7.4: Integration of Rational Fnctions by Partial Fractions This is abot as complicated as it gets. The Method of Partial Fractions Ecept for a few very special cases, crrently we have no way to
More informationsin u 5 opp } cos u 5 adj } hyp opposite csc u 5 hyp } sec u 5 hyp } opp Using Inverse Trigonometric Functions
13 Big Idea 1 CHAPTER SUMMARY BIG IDEAS Using Trigonometric Fnctions Algebra classzone.com Electronic Fnction Library For Yor Notebook hypotense acent osite sine cosine tangent sin 5 hyp cos 5 hyp tan
More informationAPPENDIX B MATRIX NOTATION. The Definition of Matrix Notation is the Definition of Matrix Multiplication B.1 INTRODUCTION
APPENDIX B MAIX NOAION he Deinition o Matrix Notation is the Deinition o Matrix Mltiplication B. INODUCION { XE "Matrix Mltiplication" }{ XE "Matrix Notation" }he se o matrix notations is not necessary
More informationf and radius , where is the angle between a and b sin A B sin Acos B cos Asin cos A B cos Acos B msin Asin sin 2A 2sin Acos cos 2 cos sin A A A
FORMULAE LIST Circle: The equation 2 2 x y gx fy c 2 2 0 represents a circle centre g, f and radius 2 2 2 x a y b r The equation represents a circle centre ab, and radius r. 2 2 g f c. Scalar Product:
More information6.4 VECTORS AND DOT PRODUCTS
458 Chapter 6 Additional Topics in Trigonometry 6.4 VECTORS AND DOT PRODUCTS What yo shold learn ind the dot prodct of two ectors and se the properties of the dot prodct. ind the angle between two ectors
More informationMethods for Advanced Mathematics (C3) FRIDAY 11 JANUARY 2008
ADVANCED GCE 4753/ MATHEMATICS (MEI) Methods for Advanced Mathematics (C3) FRIDAY JANUARY 8 Additional materials: Answer Booklet (8 pages) Graph paper MEI Eamination Formlae and Tables (MF) Morning Time:
More informationKonyalioglu, Serpil. Konyalioglu, A.Cihan. Ipek, A.Sabri. Isik, Ahmet
The Role of Visalization Approach on Stdent s Conceptal Learning Konyaliogl, Serpil Department of Secondary Science and Mathematics Edcation, K.K. Edcation Faclty, Atatürk University, 25240- Erzrm-Trkey;
More informationComplex Variables. For ECON 397 Macroeconometrics Steve Cunningham
Comple Variables For ECON 397 Macroeconometrics Steve Cnningham Open Disks or Neighborhoods Deinition. The set o all points which satis the ineqalit
More informationPlace value and fractions. Explanation and worked examples We read this number as two hundred and fifty-six point nine one.
3 3 Place vale and ractions Exlanation and worked examles Level Yo shold know and nderstand which digit o a nmer shows the nmer o: ten thosands 0 000 thosands 000 hndreds 00 tens 0 nits As well as the
More informationChapter 9 Flow over Immersed Bodies
57:00 Mechanics o Flids and Transport Processes Chapter 9 Proessor Fred Stern Fall 01 1 Chapter 9 Flow over Immersed Bodies Flid lows are broadly categorized: 1. Internal lows sch as dcts/pipes, trbomachinery,
More informationBLOOM S TAXONOMY. Following Bloom s Taxonomy to Assess Students
BLOOM S TAXONOMY Topic Following Bloom s Taonomy to Assess Stdents Smmary A handot for stdents to eplain Bloom s taonomy that is sed for item writing and test constrction to test stdents to see if they
More information10.4 Solving Equations in Quadratic Form, Equations Reducible to Quadratics
. Solving Eqations in Qadratic Form, Eqations Redcible to Qadratics Now that we can solve all qadratic eqations we want to solve eqations that are not eactl qadratic bt can either be made to look qadratic
More informationAssignment Fall 2014
Assignment 5.086 Fall 04 De: Wednesday, 0 December at 5 PM. Upload yor soltion to corse website as a zip file YOURNAME_ASSIGNMENT_5 which incldes the script for each qestion as well as all Matlab fnctions
More informationMath 144 Activity #10 Applications of Vectors
144 p 1 Math 144 Actiity #10 Applications of Vectors In the last actiity, yo were introdced to ectors. In this actiity yo will look at some of the applications of ectors. Let the position ector = a, b
More informationLecture 3. (2) Last time: 3D space. The dot product. Dan Nichols January 30, 2018
Lectre 3 The dot prodct Dan Nichols nichols@math.mass.ed MATH 33, Spring 018 Uniersity of Massachsetts Janary 30, 018 () Last time: 3D space Right-hand rle, the three coordinate planes 3D coordinate system:
More informationThe Lehmer matrix and its recursive analogue
The Lehmer matrix and its recrsive analoge Emrah Kilic, Pantelimon Stănică TOBB Economics and Technology University, Mathematics Department 0660 Sogtoz, Ankara, Trkey; ekilic@etedtr Naval Postgradate School,
More informationThis Topic follows on from Calculus Topics C1 - C3 to give further rules and applications of differentiation.
CALCULUS C Topic Overview C FURTHER DIFFERENTIATION This Topic follows on from Calcls Topics C - C to give frther rles applications of differentiation. Yo shold be familiar with Logarithms (Algebra Topic
More informationSTEP Support Programme. STEP III Hyperbolic Functions: Solutions
STEP Spport Programme STEP III Hyperbolic Fnctions: Soltions Start by sing the sbstittion t cosh x. This gives: sinh x cosh a cosh x cosh a sinh x t sinh x dt t dt t + ln t ln t + ln cosh a ln ln cosh
More informationDecision Making in Complex Environments. Lecture 2 Ratings and Introduction to Analytic Network Process
Decision Making in Complex Environments Lectre 2 Ratings and Introdction to Analytic Network Process Lectres Smmary Lectre 5 Lectre 1 AHP=Hierar chies Lectre 3 ANP=Networks Strctring Complex Models with
More information10.2 Solving Quadratic Equations by Completing the Square
. Solving Qadratic Eqations b Completing the Sqare Consider the eqation ( ) We can see clearl that the soltions are However, What if the eqation was given to s in standard form, that is 6 How wold we go
More informationPhysicsAndMathsTutor.com
. Two smooth niform spheres S and T have eqal radii. The mass of S is 0. kg and the mass of T is 0.6 kg. The spheres are moving on a smooth horizontal plane and collide obliqely. Immediately before the
More informationSecond-Order Wave Equation
Second-Order Wave Eqation A. Salih Department of Aerospace Engineering Indian Institte of Space Science and Technology, Thirvananthapram 3 December 016 1 Introdction The classical wave eqation is a second-order
More informationLecture Notes: Finite Element Analysis, J.E. Akin, Rice University
9. TRUSS ANALYSIS... 1 9.1 PLANAR TRUSS... 1 9. SPACE TRUSS... 11 9.3 SUMMARY... 1 9.4 EXERCISES... 15 9. Trss analysis 9.1 Planar trss: The differential eqation for the eqilibrim of an elastic bar (above)
More informationBertrand s Theorem. October 8, µr 2 + V (r) 0 = dv eff dr. 3 + dv. f (r 0 )
Bertrand s Theorem October 8, Circlar orbits The eective potential, V e = has a minimm or maximm at r i and only i so we mst have = dv e L µr + V r = L µ 3 + dv = L µ 3 r r = L µ 3 At this radis, there
More informationMATH2715: Statistical Methods
MATH275: Statistical Methods Exercises III (based on lectres 5-6, work week 4, hand in lectre Mon 23 Oct) ALL qestions cont towards the continos assessment for this modle. Q. If X has a niform distribtion
More informationMECHANICS OF SOLIDS COMPRESSION MEMBERS TUTORIAL 2 INTERMEDIATE AND SHORT COMPRESSION MEMBERS
MECHANICS O SOIDS COMPRESSION MEMBERS TUTORIA INTERMEDIATE AND SHORT COMPRESSION MEMBERS Yo shold jdge yor progress by completing the self assessment exercises. On completion of this ttorial yo shold be
More informationPhysicsAndMathsTutor.com
C Integration - By sbstittion PhysicsAndMathsTtor.com. Using the sbstittion cos +, or otherwise, show that e cos + sin d e(e ) (Total marks). (a) Using the sbstittion cos, or otherwise, find the eact vale
More informationCONTENTS. INTRODUCTION MEQ curriculum objectives for vectors (8% of year). page 2 What is a vector? What is a scalar? page 3, 4
CONTENTS INTRODUCTION MEQ crriclm objectives for vectors (8% of year). page 2 What is a vector? What is a scalar? page 3, 4 VECTOR CONCEPTS FROM GEOMETRIC AND ALGEBRAIC PERSPECTIVES page 1 Representation
More informationSetting The K Value And Polarization Mode Of The Delta Undulator
LCLS-TN-4- Setting The Vale And Polarization Mode Of The Delta Undlator Zachary Wolf, Heinz-Dieter Nhn SLAC September 4, 04 Abstract This note provides the details for setting the longitdinal positions
More informationOPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Final Exam In Class Page 1/16 Fall, 2015
OPTI-502 Optical Design and Instrmentation I John E. Greivenkamp Final Exam In Class Page 1/16 Fall, 2015 Name Closed book; closed notes. Time limit: 120 mintes. An eqation sheet is attached and can be
More informationMath 263 Assignment #3 Solutions. 1. A function z = f(x, y) is called harmonic if it satisfies Laplace s equation:
Math 263 Assignment #3 Soltions 1. A fnction z f(x, ) is called harmonic if it satisfies Laplace s eqation: 2 + 2 z 2 0 Determine whether or not the following are harmonic. (a) z x 2 + 2. We se the one-variable
More informationGEOGRAPHY GEOGRAPHY. CfE. BrightRED Study Guide. CfE. ADVANCED Higher. Phil Duffy. BrightRED Study Guides. CfE ADVANCED Higher GEOGRAPHY.
BrightRED BrightRED Stdy Gides Phil Dffy This BrightRED Stdy Gide is the ltimate companion to yor Advanced Higher Geography stdies! Written by or trsted athor and experienced Geography teacher, Phil Dffy,
More informationL = 2 λ 2 = λ (1) In other words, the wavelength of the wave in question equals to the string length,
PHY 309 L. Soltions for Problem set # 6. Textbook problem Q.20 at the end of chapter 5: For any standing wave on a string, the distance between neighboring nodes is λ/2, one half of the wavelength. The
More information1 Undiscounted Problem (Deterministic)
Lectre 9: Linear Qadratic Control Problems 1 Undisconted Problem (Deterministic) Choose ( t ) 0 to Minimize (x trx t + tq t ) t=0 sbject to x t+1 = Ax t + B t, x 0 given. x t is an n-vector state, t a
More informationFormal Methods for Deriving Element Equations
Formal Methods for Deriving Element Eqations And the importance of Shape Fnctions Formal Methods In previos lectres we obtained a bar element s stiffness eqations sing the Direct Method to obtain eact
More informationLecture Notes On THEORY OF COMPUTATION MODULE - 2 UNIT - 2
BIJU PATNAIK UNIVERSITY OF TECHNOLOGY, ODISHA Lectre Notes On THEORY OF COMPUTATION MODULE - 2 UNIT - 2 Prepared by, Dr. Sbhend Kmar Rath, BPUT, Odisha. Tring Machine- Miscellany UNIT 2 TURING MACHINE
More information5. The Bernoulli Equation
5. The Bernolli Eqation [This material relates predominantly to modles ELP034, ELP035] 5. Work and Energy 5. Bernolli s Eqation 5.3 An example of the se of Bernolli s eqation 5.4 Pressre head, velocity
More informationQuadratic and Rational Inequalities
Chapter Qadratic Eqations and Ineqalities. Gidelines for solving word problems: (a) Write a verbal model that will describe what yo need to know. (b) Assign labels to each part of the verbal model nmbers
More informationEXERCISES WAVE EQUATION. In Problems 1 and 2 solve the heat equation (1) subject to the given conditions. Assume a rod of length L.
.4 WAVE EQUATION 445 EXERCISES.3 In Problems and solve the heat eqation () sbject to the given conditions. Assme a rod of length.. (, t), (, t) (, ),, > >. (, t), (, t) (, ) ( ) 3. Find the temperatre
More informationMultiplication and division. Explanation and worked examples. First, we ll look at work you should know at this level.
x Mltilication and division Exlanation and worked examles Level First, we ll look at work yo shold know at this level. Work ot these mltilication and division sms: a) ) 96 c) 8 d) 6 Soltions: a) 9 6 Yo
More informationOPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Final Exam In Class Page 1/14 Fall, 2017
OPTI-50 Optical Design and Instrmentation I John E. Greivenkamp Final Exam In Class Page 1/14 Fall, 017 Name Closed book; closed notes. Time limit: 10 mintes. An eqation sheet is attached and can be removed.
More information3.4-Miscellaneous Equations
.-Miscellaneos Eqations Factoring Higher Degree Polynomials: Many higher degree polynomials can be solved by factoring. Of particlar vale is the method of factoring by groping, however all types of factoring
More informationUNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL
8th International DAAAM Baltic Conference "INDUSTRIAL ENGINEERING - 19-1 April 01, Tallinn, Estonia UNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL Põdra, P. & Laaneots, R. Abstract: Strength analysis is a
More informationOPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Final Exam In Class Page 1/16 Fall, 2013
OPTI-502 Optical Design and Instrmentation I John E. Greivenkamp Final Exam In Class Page 1/16 Fall, 2013 Name Closed book; closed notes. Time limit: 120 mintes. An eqation sheet is attached and can be
More informationAMS 212B Perturbation Methods Lecture 05 Copyright by Hongyun Wang, UCSC
AMS B Pertrbation Methods Lectre 5 Copright b Hongn Wang, UCSC Recap: we discssed bondar laer of ODE Oter epansion Inner epansion Matching: ) Prandtl s matching ) Matching b an intermediate variable (Skip
More informationLesson 81: The Cross Product of Vectors
Lesson 8: The Cross Prodct of Vectors IBHL - SANTOWSKI In this lesson yo will learn how to find the cross prodct of two ectors how to find an orthogonal ector to a plane defined by two ectors how to find
More informationCC-32 Trigonometric Identities
CC-32 Common Core State Standards MACC.92.F-TF.3.8 Prove the Pythagorean identity sin2(x) + cos2(x) and se it to find sin(x), cos(x), or tan(x), given sin(x), cos(x), or tan(x), and the qadrant of the
More informationPhysicsAndMathsTutor.com
Qestion Answer Marks (i) a = ½ B allow = ½ y y d y ( ). d ( ) 6 ( ) () dy * d y ( ) dy/d = 0 when = 0 ( ) = 0, = 0 or ¾ y = (¾) /½ = 7/, y = 0.95 (sf) [] B [9] y dy/d Gi Qotient (or prodct) rle consistent
More informationTechnical Note. ODiSI-B Sensor Strain Gage Factor Uncertainty
Technical Note EN-FY160 Revision November 30, 016 ODiSI-B Sensor Strain Gage Factor Uncertainty Abstract Lna has pdated or strain sensor calibration tool to spport NIST-traceable measrements, to compte
More informationQuasi Steady State Modelling of an Evaporator
Qasi Steady State Modelling o an Evaporator Ed. Eitelberg NOY Bsiness 58 Baines Road, Drban 400, RSA controle@pixie.dw.ac.za Ed. Boje Electrical, Electronic & Compter Eng. University o Natal, Drban 404,
More informationCurves - Foundation of Free-form Surfaces
Crves - Fondation of Free-form Srfaces Why Not Simply Use a Point Matrix to Represent a Crve? Storage isse and limited resoltion Comptation and transformation Difficlties in calclating the intersections
More informationLinear System Theory (Fall 2011): Homework 1. Solutions
Linear System Theory (Fall 20): Homework Soltions De Sep. 29, 20 Exercise (C.T. Chen: Ex.3-8). Consider a linear system with inpt and otpt y. Three experiments are performed on this system sing the inpts
More informationFigure 1 Probability density function of Wedge copula for c = (best fit to Nominal skew of DRAM case study).
Wedge Copla This docment explains the constrction and properties o a particlar geometrical copla sed to it dependency data rom the edram case stdy done at Portland State University. The probability density
More informationReflections on a mismatched transmission line Reflections.doc (4/1/00) Introduction The transmission line equations are given by
Reflections on a mismatched transmission line Reflections.doc (4/1/00) Introdction The transmission line eqations are given by, I z, t V z t l z t I z, t V z, t c z t (1) (2) Where, c is the per-nit-length
More informationSUBJECT:ENGINEERING MATHEMATICS-I SUBJECT CODE :SMT1101 UNIT III FUNCTIONS OF SEVERAL VARIABLES. Jacobians
SUBJECT:ENGINEERING MATHEMATICS-I SUBJECT CODE :SMT0 UNIT III FUNCTIONS OF SEVERAL VARIABLES Jacobians Changing ariable is something e come across er oten in Integration There are man reasons or changing
More informationClassify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled.
Jnction elements in network models. Classify by nmber of ports and examine the possible strctres that reslt. Using only one-port elements, no more than two elements can be assembled. Combining two two-ports
More informationThe Cross Product of Two Vectors in Space DEFINITION. Cross Product. u * v = s ƒ u ƒƒv ƒ sin ud n
12.4 The Cross Prodct 873 12.4 The Cross Prodct In stdying lines in the plane, when we needed to describe how a line was tilting, we sed the notions of slope and angle of inclination. In space, we want
More informationSubcritical bifurcation to innitely many rotating waves. Arnd Scheel. Freie Universitat Berlin. Arnimallee Berlin, Germany
Sbcritical bifrcation to innitely many rotating waves Arnd Scheel Institt fr Mathematik I Freie Universitat Berlin Arnimallee 2-6 14195 Berlin, Germany 1 Abstract We consider the eqation 00 + 1 r 0 k2
More informationFRTN10 Exercise 12. Synthesis by Convex Optimization
FRTN Exercise 2. 2. We want to design a controller C for the stable SISO process P as shown in Figre 2. sing the Yola parametrization and convex optimization. To do this, the control loop mst first be
More informationIII. Demonstration of a seismometer response with amplitude and phase responses at:
GG5330, Spring semester 006 Assignment #1, Seismometry and Grond Motions De 30 Janary 006. 1. Calibration Of A Seismometer Using Java: A really nifty se of Java is now available for demonstrating the seismic
More informationCurve Sketching. The process of curve sketching can be performed in the following steps:
Curve Sketching So ar you have learned how to ind st and nd derivatives o unctions and use these derivatives to determine where a unction is:. Increasing/decreasing. Relative extrema 3. Concavity 4. Points
More information«Develop a better understanding on Partial fractions»
«Develop a better understanding on Partial ractions» ackground inormation: The topic on Partial ractions or decomposing actions is irst introduced in O level dditional Mathematics with its applications
More informationGarret Sobczyk s 2x2 Matrix Derivation
Garret Sobczyk s x Matrix Derivation Krt Nalty May, 05 Abstract Using matrices to represent geometric algebras is known, bt not necessarily the best practice. While I have sed small compter programs to
More informationOptimal Control of a Heterogeneous Two Server System with Consideration for Power and Performance
Optimal Control of a Heterogeneos Two Server System with Consideration for Power and Performance by Jiazheng Li A thesis presented to the University of Waterloo in flfilment of the thesis reqirement for
More informationTOWARD THE FORMAL THEORY OF (, n)-categories
TOWRD THE FORML THEORY OF (, n)-ctegories EMILY RIEHL (JOINT WORK WITH DOMINIC VERITY) bstract. Formal category theory reers to a commonly applicable ramework (i) or deining standard categorical strctres
More informationMomentum Equation. Necessary because body is not made up of a fixed assembly of particles Its volume is the same however Imaginary
Momentm Eqation Interest in the momentm eqation: Qantification of proplsion rates esign strctres for power generation esign of pipeline systems to withstand forces at bends and other places where the flow
More information3.3 Operations With Vectors, Linear Combinations
Operations With Vectors, Linear Combinations Performance Criteria: (d) Mltiply ectors by scalars and add ectors, algebraically Find linear combinations of ectors algebraically (e) Illstrate the parallelogram
More information4 Primitive Equations
4 Primitive Eqations 4.1 Spherical coordinates 4.1.1 Usefl identities We now introdce the special case of spherical coordinates: (,, r) (longitde, latitde, radial distance from Earth s center), with 0
More informationEvaluate Inverse Trigonometric Functions. 5p, }} 13p, }}
13.4 a.1, a.3, 2A.4.C; P.3.A TEKS Evalate Inverse Trigonometri Fntions Before Yo fond vales of trigonometri fntions given angles. Now Yo will find angles given vales of trigonometri fntions. Wh? So o an
More informationPREDICTABILITY OF SOLID STATE ZENER REFERENCES
PREDICTABILITY OF SOLID STATE ZENER REFERENCES David Deaver Flke Corporation PO Box 99 Everett, WA 986 45-446-6434 David.Deaver@Flke.com Abstract - With the advent of ISO/IEC 175 and the growth in laboratory
More informationLogarithmic, Exponential and Other Transcendental Functions
Logarithmic, Eponential an Other Transcenental Fnctions 5: The Natral Logarithmic Fnction: Differentiation The Definition First, yo mst know the real efinition of the natral logarithm: ln= t (where > 0)
More informationOPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Final Exam In Class Page 1/16 Fall, 2016
OPTI-502 Optical Design and Instrmentation I John E. Greivenkamp Final Exam In Class Page 1/16 Fall, 2016 Name Closed book; closed notes. Time limit: 120 mintes. An eqation sheet is attached and can be
More informationEXPT. 5 DETERMINATION OF pk a OF AN INDICATOR USING SPECTROPHOTOMETRY
EXPT. 5 DETERMITIO OF pk a OF IDICTOR USIG SPECTROPHOTOMETRY Strctre 5.1 Introdction Objectives 5.2 Principle 5.3 Spectrophotometric Determination of pka Vale of Indicator 5.4 Reqirements 5.5 Soltions
More information3. Several Random Variables
. Several Random Variables. To Random Variables. Conditional Probabilit--Revisited. Statistical Independence.4 Correlation beteen Random Variables Standardied (or ero mean normalied) random variables.5
More informationGeometry of Span (continued) The Plane Spanned by u and v
Geometric Description of Span Geometr of Span (contined) 2 Geometr of Span (contined) 2 Span {} Span {, } 2 Span {} 2 Geometr of Span (contined) 2 b + 2 The Plane Spanned b and If a plane is spanned b
More informationOPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Final Exam In Class Page 1/12 Fall, 2011
OPTI-502 Optical Design and Instrmentation I John E. Greivenkamp Final Exam In Class Page 1/12 Fall, 2011 Name Closed book; closed notes. Time limit: 2 hors. An eqation sheet is attached and can be removed.
More informationEE2 Mathematics : Functions of Multiple Variables
EE2 Mathematics : Fnctions of Mltiple Variables http://www2.imperial.ac.k/ nsjones These notes are not identical word-for-word with m lectres which will be gien on the blackboard. Some of these notes ma
More informationA Level Maths summer preparation work
A Level Maths summer preparation work Welcome to A Level Maths! We hope you are looking forward to two years of challenging and rewarding learning. You must make sure that you are prepared to study A Level
More informationVectors in Rn un. This definition of norm is an extension of the Pythagorean Theorem. Consider the vector u = (5, 8) in R 2
MATH 307 Vectors in Rn Dr. Neal, WKU Matrices of dimension 1 n can be thoght of as coordinates, or ectors, in n- dimensional space R n. We can perform special calclations on these ectors. In particlar,
More informationLOWÐDIMENSIONAL TOPOLOGY AND HIGHERÐORDER CATEGORIES
LOWÐDIMENSIONL TOPOLOGY ND HIGHERÐORDER TEGORIES ollaborators: Ross Street Iain itchison now at University o Melborne ndrž Joyal UniversitŽ d QŽbec ˆ MontrŽal Dominic Verity Macqarie University Todd Trimble
More information3. Several Random Variables
. Several Random Variables. Two Random Variables. Conditional Probabilit--Revisited. Statistical Independence.4 Correlation between Random Variables. Densit unction o the Sum o Two Random Variables. Probabilit
More informationChapter 1: Differential Form of Basic Equations
MEG 74 Energ and Variational Methods in Mechanics I Brendan J. O Toole, Ph.D. Associate Professor of Mechanical Engineering Howard R. Hghes College of Engineering Universit of Nevada Las Vegas TBE B- (7)
More informationStage 1 Preparation (PLC)
Teacher_harry henderson RRPS SECONDARY MATH UNIT/LESSON PLAN TEMPLATE 203-204 Day(s) UNIT TITLE: spinning compass part Stage Preparation (PLC) Grade Level Content Standard(s)/Standard(s) for Mathematical
More informationAn Investigation into Estimating Type B Degrees of Freedom
An Investigation into Estimating Type B Degrees of H. Castrp President, Integrated Sciences Grop Jne, 00 Backgrond The degrees of freedom associated with an ncertainty estimate qantifies the amont of information
More informationDesert Mountain H. S. Math Department Summer Work Packet
Corse #50-51 Desert Montain H. S. Math Department Smmer Work Packet Honors/AP/IB level math corses at Desert Montain are for stents who are enthsiastic learners of mathematics an whose work ethic is of
More informationSECTION 6.7. The Dot Product. Preview Exercises. 754 Chapter 6 Additional Topics in Trigonometry. 7 w u 7 2 =?. 7 v 77w7
754 Chapter 6 Additional Topics in Trigonometry 115. Yo ant to fly yor small plane de north, bt there is a 75-kilometer ind bloing from est to east. a. Find the direction angle for here yo shold head the
More informationUniversity of California, Berkeley Physics H7C Fall 1999 (Strovink) SOLUTION TO FINAL EXAMINATION
University of California Berkeley Physics H7C Fall 999 (Strovink SOUTION TO FINA EXAMINATION Directions. Do all six problems (weights are indicated. This is a closed-book closed-note exam except for three
More informationEssentials of optimal control theory in ECON 4140
Essentials of optimal control theory in ECON 4140 Things yo need to know (and a detail yo need not care abot). A few words abot dynamic optimization in general. Dynamic optimization can be thoght of as
More informationSources of Non Stationarity in the Semivariogram
Sorces of Non Stationarity in the Semivariogram Migel A. Cba and Oy Leangthong Traditional ncertainty characterization techniqes sch as Simple Kriging or Seqential Gassian Simlation rely on stationary
More informationChange of Variables. (f T) JT. f = U
Change of Variables 4-5-8 The change of ariables formla for mltiple integrals is like -sbstittion for single-ariable integrals. I ll gie the general change of ariables formla first, and consider specific
More informationOn the circuit complexity of the standard and the Karatsuba methods of multiplying integers
On the circit complexity of the standard and the Karatsba methods of mltiplying integers arxiv:1602.02362v1 [cs.ds] 7 Feb 2016 Igor S. Sergeev The goal of the present paper is to obtain accrate estimates
More informationMath 1. 2-hours test May 13, 2017
Math. -hors test May, 7 JE/JKL.5.7 Problem restart:with(plots): A fnction f of two real variables is for x, y, given by f:=(x,y)-y/(x^+y^); f x, y y x y f(x,y); y x y (.) (.) Qestion In the x, y plane
More informationChapter 3. Preferences and Utility
Chapter 3 Preferences and Utilit Microeconomics stdies how individals make choices; different individals make different choices n important factor in making choices is individal s tastes or preferences
More informationResearch Article Permanence of a Discrete Predator-Prey Systems with Beddington-DeAngelis Functional Response and Feedback Controls
Hindawi Pblishing Corporation Discrete Dynamics in Natre and Society Volme 2008 Article ID 149267 8 pages doi:101155/2008/149267 Research Article Permanence of a Discrete Predator-Prey Systems with Beddington-DeAngelis
More informationLinear Strain Triangle and other types of 2D elements. By S. Ziaei Rad
Linear Strain Triangle and other tpes o D elements B S. Ziaei Rad Linear Strain Triangle (LST or T6 This element is also called qadratic trianglar element. Qadratic Trianglar Element Linear Strain Triangle
More information