SOLUTIONS TO MOCK CET -3

Size: px
Start display at page:

Download "SOLUTIONS TO MOCK CET -3"

Transcription

1 SOLUTIOS TO MOCK CET -3 Hints and expanations: sin. i sin 3 sin, r µ, r µ µ sin r µ sin r µ sini µ 3 sini sin r Or sin r µ µ 3 µ µ µ µ sin r sin r sin ri 3 sini µ Or µ sini Or µ µ or option () µ µ µ 3 C D µ. (a) For the fish, the bird appears at a height of m from water surface 3 3 (b) For the bird, the fish appears at a depth of m beow water surface 3 Hence the bird sees the fish 6.60 m away whie the fish sees the bird 8.8 m away or option () 3. s the ens can form both rea and virtua images, it is a convex ens and u ve 6f + v 6 f 6 f we get v nd v 6 f + and v 6 f 6 f s the images are of the same size v v u u Or 6 f 6 f 6 f 6 f 6 6 Or ( f ) 6 6 f Or f cm or option (). r + r for emergent ray, For no emergent ray, r > C, Max vaue of r is when i 90 or sin r sinc or µ i r r Or r C r+ r > C+ C OR > C is the condition for no emergent ray as per option (3 )

2 5. Given I I ; the required ratio is given by ( I I ) ( I I ) ( ) I + + max 3+ I min 3 I Imin or by max r option() th 6. Since the n red band coincides with the ( n + ) th bue band, we get n 7800 D 500 D d d ( n+ ) or 78n ( n+ ) 5 or n. Or option (3) 7. Poarisation means restriction of transverse vibrations to one pane perpendicuar to the direction of propagation. This pane is caed the pane of vibration. The pane perpendicuar to both the pane of vibration and the direction of propagation is caed the pane of poarization or option () 8. Option () 9. λ dx n sinθ dx λ dx λ dx λ dx m or option (). In grating, the diffraction bands are cooured, whie zero order principa maxima is white or option () r r r r r mg. F Eq mg F ee mg or E or option () e. Potentia at Or option () + kq kq 0 r + r + +q q r 3. Tota voume of dropets voume of coaesced drop 3 3 or n π r π R 3 3 or R 3 nr Capacity of drop πε nr n πε r n capacity of one dropet or option (3) Ceff C3 C+ C + k3ε 0 kε 0 k ε0 d + d d d C k k k 3 C C 3

3 or d d + keff ε0 ε0 k3 k+ k + keff k3 k+ k or option () ρ 5. ρ R ρ R... () ρ R ρ ρ R... C ρ RC ρ ρ R... 3 C o RO ρ R... ( ) ρ ρ o Hence max resistance R or option () 6. Since the sequence is infinite; it can be repaced by Reff Reff Ω+ + + Reff Reff + Reff + Reff + Reff + Ω Ω Ω R eff Or R + R + R eff eff eff Reff Reff 0 Or R eff + ± + 6 ± 5 taking positive vaue R + 5 ( +.36) 3.3Ω or option () eff 7. In the absence of any resistance in the eft gap, there wi aways be a current fow in the bridge wire. Hence no baance point wi be found. nswer option () 5Ω 8. I R IR R I > R I Or Or R > R or option () I I I V

4 9. Initiay the partice wi move aong the y-axis due to the force exerted by the eectric fied; then it gets bent in the y-z pane as the magnetic fied imparts a radia force. However the effect of the magnetic fied is to ony change the direction not the magnitude of the partice s veocity-which is affected ony by the y-component of the eectrica force. This component increases the vaue of the y co-ordinate of the partice. The onger the eectric fied operates, the higher the vaue of its veocity i.e. veocity depends ony on y or option () 0. The fied due to segment O is opposite to the fied due to the segment MP as the current fows in opposite directions through them. The portions M and OP do not create any fied at C, which is in ine with them. Hence nett fied at C 0I 0I 0I O mp µ µ µ r r r r or option (). The shape of the Hysteresis oop depends on the retentivity and coercivity of the materia. These depend on the composition, temperature and the degree of saturation of the materia. The size of the oop depends on the dimensions of the materia in addition to the above factors or option (). µ 0 I (due to wire ) π r 7 5 T F I sinθ (force experienced by wire ) 5 5 sin90 8 or option () 3. Required R ( n ) R () n 5 V 0 sub in () R Ωor option () φ as is given constant.. d φ d d dt dt dt dφ ε 0 0.V dt + 8 V 8 mv or option ( 3)

5 5. ue scatters more compared to any other coour or option (b) q p m q m q m α 6. Required ratio q qα mp qp m α p mα : p p p p : or option ( ) 7. hc λ W + V S e e (Einstein s equations) hc e () hc.7 + V S 00 e from () and () () V 6..7 S V.5eV S V.5Vor option () S V S 8. R H λ n n RH n, n 3 3 5R H λ or option () R 5 H 9. Q ( 7 ) (.) 3.6 MeV or option () Using n n n n.. () n From t nt T nt, n T n( T) n sub in () :or option () 3. Emitter base junction must forward biased (i.e. base shoud be at positive potentia compared to emitter) and coector base junction must be reverse biased (i.e. coector shoud be at greater positive potentia compared to base) or option ()

6 3. For C0, output of G is 0 and that of G is For & C0, output of G is and that of G is or option () 33. Option () 3. Option () 35. Option (3) 36. Option (3) 37. The gain in K.E. of a charged partice after moving through a potentia difference of V is given by ev, that is aso equa to mv where v is the veocity of the charged partice. Disregarding the reativistic effect, qv v mv mqv m mv qv de rogie waveength h λ mv h mqv λ p λ α mqv mqv α α α p p p λ p ()() Putting Vα V p, λ ()() α or option (3) a P a PV ML T L V [ ] [ ] or option () 39. v mqv vα h and as the ba is moving down, its veocity is negative and it is positive whie ba is rising up. Option () tota distance 0. verage speed tota time segmentwise distances segmentwise times average speed 3 km / hr or option (3) 5 5. Since the ba just cears the wa horizontay, the wa s height is equa to the maximum eevation of the ba and the wa is situated at a distance equa to haf the range of the ba. given o θ 37 ; u sin θ u sin θ H sin R and H. θ tanθ g g R sin θ required ratio H H 3 tanθ tanθ tan R / R 8 o or option (3)

7 . s the body has the tendency to move up the pane, friction acts down the pane. F mg sinθ + µ mg sinθ + µ mg cosθ or option () 3. Let be initia veocity of mass ' m ' be the coision v, v find veocities of after coision. 3 Then mu mv + ( m) / and mn mv + ( 3m) v Or mu mv+ ( 3m) v or u v + 3v and u v+ 3v soying we get v v u v + 3v v or v, v initia of mass m mu mu Fina KE of mass m m u 75 of its K.E eas been transferred to mass or option () oth L and E are conserved. Iω Iω vr vr s R (distance of P from S) decreases, its speed increases. K is a maximum at P GMm U K max a U is the east a P GMm E a So, E is ve at any position. Option (3) 5. Option () 6. Force due to surface tension aong the circumference of the is (i) capiary is F πrtand (ii) the wire is F π rt oth are upward. The resutant must support the weight of the iquid coumns. ( ) ( ) π r r T π r r hρg h T r r ρg ( ) Option ()

8 7. W, T O & T O W T T W T T O O 0 6 W 3W T & T 5 5 6W 9W T + T + or option () 5 5 0cm T T cm o 90 6cm O W ( ) K T T t Qsemicircuar rod 8. Q or Option () Q straight road π π 9. ms b b( 30 0) + mv micel ( 30 0)( ca) ( J ) mice80( ca ) ( ca) 30( ca) + mice80( ca). m 5.875g or option () ice 50. Option (3) 5. Work done is positive if expansion curve ies above compression curvre (cockwise) and is represented by the area encosed by the curve. s area of is more than that of, net work done is positive or option () 5. y sin( ωt) In the first case sin( ω ) π T t ωt t 6 In the second case, T 6 t T t T & t or option () 6 t 53. Option (3) 5. V V + f f f. f V or option () V Option () 56. Option (3) xd m x k q q kq x d << d 57. ω ( x d ) ( x+ d ) 3 8kq 8kq md mω x x ω T π 3 3 d md 8kq m Shortcut, T π hence mass must be in the numerator. Option () K ( restoring factor)

9 58. Dieectric strength of air 3x 6 V/m. Then pd required to conduct eectricity through 0.mm air is 300V. If 300V is peak vaue, then rms vaue is 0 V V or option () 59. From the given kinetic energy of the neutrons, we first cacuate their veocity. Thus mu - rms 9 V \ u or u 500 m / s with this speed, the time taken by the neutrons to trave a distance of m is, D t The fraction of neutrons decayed in time s D t second is, D D t & aso, T / \ D D 3 6 t - - ( ) Option (3) T / Measured vaue must be accurate upto the east count of the instrument. Option ()

Probability distributions relevant to radiowave propagation modelling

Probability distributions relevant to radiowave propagation modelling Rec. ITU-R P.57 RECOMMENDATION ITU-R P.57 PROBABILITY DISTRIBUTIONS RELEVANT TO RADIOWAVE PROPAGATION MODELLING (994) Rec. ITU-R P.57 The ITU Radiocommunication Assembly, considering a) that the propagation

More information

Preparing Cash Budgets

Preparing Cash Budgets Preparing Cash Budgets John Ogivie, author of the CIMA Study System Finance, gives some usefu tips on this popuar examination topic. The management of cash resources hods a centra position in the area

More information

Monte Carlo Methods for Uncertainty Quantification

Monte Carlo Methods for Uncertainty Quantification Monte Carlo Methods for Uncertainty Quantification Abdul-Lateef Haji-Ali Based on slides by: Mike Giles Mathematical Institute, University of Oxford Contemporary Numerical Techniques Haji-Ali (Oxford)

More information

Lecture 32: Impulse and Cross Sections

Lecture 32: Impulse and Cross Sections Lectue 3: Impulse and Coss Sections Even though we may not know what foces act duing a collision, we can detemine something about those foces fom Newton s Second Law Duing the collision: d( mv) F p dt

More information

1 Dynamic programming

1 Dynamic programming 1 Dynamic programming A country has just discovered a natural resource which yields an income per period R measured in terms of traded goods. The cost of exploitation is negligible. The government wants

More information

Imperfect Information and Market Segmentation Walsh Chapter 5

Imperfect Information and Market Segmentation Walsh Chapter 5 Imperfect Information and Market Segmentation Walsh Chapter 5 1 Why Does Money Have Real Effects? Add market imperfections to eliminate short-run neutrality of money Imperfect information keeps price from

More information

Riemannian Geometry, Key to Homework #1

Riemannian Geometry, Key to Homework #1 Riemannian Geometry Key to Homework # Let σu v sin u cos v sin u sin v cos u < u < π < v < π be a parametrization of the unit sphere S {x y z R 3 x + y + z } Fix an angle < θ < π and consider the parallel

More information

Chapter 9 Dynamic Models of Investment

Chapter 9 Dynamic Models of Investment George Alogoskoufis, Dynamic Macroeconomic Theory, 2015 Chapter 9 Dynamic Models of Investment In this chapter we present the main neoclassical model of investment, under convex adjustment costs. This

More information

INVESTMENT TAX CREDIT - CORPORATIONS (for taxation years starting after 1995)

INVESTMENT TAX CREDIT - CORPORATIONS (for taxation years starting after 1995) Revenue Canada Revenu Canada INVESTMENT TAX CREDIT - CORPORATIONS (for taxation years starting after 1995) Note: Use T2038 (CORP)(E) Rev. 93 if your taxation year begins before 1994. Use Rev.95 if your

More information

Variance Reduction Through Multilevel Monte Carlo Path Calculations

Variance Reduction Through Multilevel Monte Carlo Path Calculations Variance Reduction Through Mutieve Monte Caro Path Cacuations Mike Gies gies@comab.ox.ac.uk Oxford University Computing Laboratory Mutieve Monte Caro p. 1/30 Mutigrid A powerfu technique for soving PDE

More information

AJTEC PREDICTING PHONON PROPERTIES FROM MOLECULAR DYNAMICS SIMULATIONS USING THE SPECTRAL ENERGY DENSITY

AJTEC PREDICTING PHONON PROPERTIES FROM MOLECULAR DYNAMICS SIMULATIONS USING THE SPECTRAL ENERGY DENSITY Proceedings of the ASME/JSME 011 8 th Therma Engineering Joint Conference AJTEC011 March 13-17, 011, Honouu, Hawaii, USA AJTEC011-44315 PREDICTING PHONON PROPERTIES FROM MOLECULAR DYNAMICS SIMULATIONS

More information

Answers to Microeconomics Prelim of August 24, In practice, firms often price their products by marking up a fixed percentage over (average)

Answers to Microeconomics Prelim of August 24, In practice, firms often price their products by marking up a fixed percentage over (average) Answers to Microeconomics Prelim of August 24, 2016 1. In practice, firms often price their products by marking up a fixed percentage over (average) cost. To investigate the consequences of markup pricing,

More information

A guide to your with-profits investment and how we manage our With-Profit Fund

A guide to your with-profits investment and how we manage our With-Profit Fund Important information A guide to your with-profits investment and how we manage our With-Profit Fund For customers investing through a With Profits Pension Annuity. Contents This guide is important as

More information

UNIT-V

UNIT-V www.jntuword.com UNIT-V www.jntuword.com LESSON 20 COST OF CAPITAL CONTENTS 20.0 Aims and Objectives 20.1 Introduction 20.2 Meaning and Assumptions of Cost of Capita 20.3 Measurement of Cost of Debt 20.4

More information

Finance 462 Solutions to Problem Set #9. First, to simplify, set the unemployment rate to 5% (.05)

Finance 462 Solutions to Problem Set #9. First, to simplify, set the unemployment rate to 5% (.05) Finance 46 Soutions to Probem Set #9 1) With no fees, we have the foowing demand fooans: Q = 15 64 90. 4UR First, to simpify, set the unempoyment rate to 5% (.05) Q = 15 64 90.4(.05) = 10.48 64 To cacuate

More information

RMSC 4005 Stochastic Calculus for Finance and Risk. 1 Exercises. (c) Let X = {X n } n=0 be a {F n }-supermartingale. Show that.

RMSC 4005 Stochastic Calculus for Finance and Risk. 1 Exercises. (c) Let X = {X n } n=0 be a {F n }-supermartingale. Show that. 1. EXERCISES RMSC 45 Stochastic Calculus for Finance and Risk Exercises 1 Exercises 1. (a) Let X = {X n } n= be a {F n }-martingale. Show that E(X n ) = E(X ) n N (b) Let X = {X n } n= be a {F n }-submartingale.

More information

Dynamic Response of Jackup Units Re-evaluation of SNAME 5-5A Four Methods

Dynamic Response of Jackup Units Re-evaluation of SNAME 5-5A Four Methods ISOPE 2010 Conference Beijing, China 24 June 2010 Dynamic Response of Jackup Units Re-evaluation of SNAME 5-5A Four Methods Xi Ying Zhang, Zhi Ping Cheng, Jer-Fang Wu and Chee Chow Kei ABS 1 Main Contents

More information

MECHANICS OF MATERIALS

MECHANICS OF MATERIALS CHAPTER 7 Transformations MECHANICS OF MATERIALS Ferdinand P. Beer E. Russell Johnston, Jr. John T. DeWolf Lecture Notes: J. Walt Oler Texas Tech Universit of Stress and Strain 006 The McGraw-Hill Companies,

More information

ECON 815. A Basic New Keynesian Model II

ECON 815. A Basic New Keynesian Model II ECON 815 A Basic New Keynesian Model II Winter 2015 Queen s University ECON 815 1 Unemployment vs. Inflation 12 10 Unemployment 8 6 4 2 0 1 1.5 2 2.5 3 3.5 4 4.5 5 Core Inflation 14 12 10 Unemployment

More information

Rate of Change Problems

Rate of Change Problems .6 Rate of Change Problems Earlier in this chapter, the connection between calculus and physics was examined in relation to velocity and acceleration. There are many other applications of calculus to physics,

More information

Project 1: Double Pendulum

Project 1: Double Pendulum Final Projects Introduction to Numerical Analysis II http://www.math.ucsb.edu/ atzberg/winter2009numericalanalysis/index.html Professor: Paul J. Atzberger Due: Friday, March 20th Turn in to TA s Mailbox:

More information

We will make several assumptions about these preferences:

We will make several assumptions about these preferences: Lecture 5 Consumer Behavior PREFERENCES The Digital Economist In taking a closer at market behavior, we need to examine the underlying motivations and constraints affecting the consumer (or households).

More information

Inflation & Welfare 1

Inflation & Welfare 1 1 INFLATION & WELFARE ROBERT E. LUCAS 2 Introduction In a monetary economy, private interest is to hold not non-interest bearing cash. Individual efforts due to this incentive must cancel out, because

More information

The Ramsey Model. Lectures 11 to 14. Topics in Macroeconomics. November 10, 11, 24 & 25, 2008

The Ramsey Model. Lectures 11 to 14. Topics in Macroeconomics. November 10, 11, 24 & 25, 2008 The Ramsey Model Lectures 11 to 14 Topics in Macroeconomics November 10, 11, 24 & 25, 2008 Lecture 11, 12, 13 & 14 1/50 Topics in Macroeconomics The Ramsey Model: Introduction 2 Main Ingredients Neoclassical

More information

Exam #2 Review Answers ECNS 303

Exam #2 Review Answers ECNS 303 Exam #2 Review Answers ECNS 303 Exam #2 will cover all the material we have covered since Exam #1. In addition to working these problems, I would recommend reviewing all of your old class notes and quizzes,

More information

The Basic New Keynesian Model

The Basic New Keynesian Model Jordi Gali Monetary Policy, inflation, and the business cycle Lian Allub 15/12/2009 In The Classical Monetary economy we have perfect competition and fully flexible prices in all markets. Here there is

More information

In working this problem, we will assume the thread has a machine finish and will use a stress concentration factor of 3.0 for rolled threads.

In working this problem, we will assume the thread has a machine finish and will use a stress concentration factor of 3.0 for rolled threads. BOLTING - EXAMPLE 1 A section of a tension-oaded connection empoyg a confed gaset is shown by Figure 14-3.a of Norton. This connection has been designed to carry a oad which varies between 0 and 1,000

More information

EE6604 Personal & Mobile Communications. Week 7. Path Loss Models. Shadowing

EE6604 Personal & Mobile Communications. Week 7. Path Loss Models. Shadowing EE6604 Personal & Mobile Communications Week 7 Path Loss Models Shadowing 1 Okumura-Hata Model L p = A+Blog 10 (d) A+Blog 10 (d) C A+Blog 10 (d) D for urban area for suburban area for open area where A

More information

Financial Risk Management

Financial Risk Management Financial Risk Management Professor: Thierry Roncalli Evry University Assistant: Enareta Kurtbegu Evry University Tutorial exercices #4 1 Correlation and copulas 1. The bivariate Gaussian copula is given

More information

Menu Costs and Phillips Curve by Mikhail Golosov and Robert Lucas. JPE (2007)

Menu Costs and Phillips Curve by Mikhail Golosov and Robert Lucas. JPE (2007) Menu Costs and Phillips Curve by Mikhail Golosov and Robert Lucas. JPE (2007) Virginia Olivella and Jose Ignacio Lopez October 2008 Motivation Menu costs and repricing decisions Micro foundation of sticky

More information

Additional Guidance 2018 ex-ante data reporting form. October 2017

Additional Guidance 2018 ex-ante data reporting form. October 2017 Additiona Guidance 2018 ex-ante data reporting form October 2017 The foowing sides compement the definitions and guidance incuded in the Ex-ante Contributions Reporting Form (hereafter Data Reporting Form)

More information

Discussion of Chiu, Meh and Wright

Discussion of Chiu, Meh and Wright Discussion of Chiu, Meh and Wright Nancy L. Stokey University of Chicago November 19, 2009 Macro Perspectives on Labor Markets Stokey - Discussion (University of Chicago) November 19, 2009 11/2009 1 /

More information

Macroeconomic Analysis ECON 6022A Fall 2011 Problem Set 4

Macroeconomic Analysis ECON 6022A Fall 2011 Problem Set 4 Macroeconomic Analysis ECON 6022A Fall 2011 Problem Set 4 November 2, 2011 1 The price level and money demand Suppose the price level in the economy is P. Real money demand L(Y, i) is the same as we ve

More information

How to understand the invoicing package? February 2018

How to understand the invoicing package? February 2018 How to understand the invoicing package? February 2018 Introduction Documents incuded in the invoicing package: 1. Contribution Notice 2. Annex A: Debit Note - Debit note (and bank account confirmation

More information

3.1 Solutions to Exercises

3.1 Solutions to Exercises .1 Solutions to Exercises 1. (a) f(x) will approach + as x approaches. (b) f(x) will still approach + as x approaches -, because any negative integer x will become positive if it is raised to an even exponent,

More information

f (tl) <tf(l) for all L and t>1. + u 0 [p (l ) α wl ] pα (l ) α 1 w =0 l =

f (tl) <tf(l) for all L and t>1. + u 0 [p (l ) α wl ] pα (l ) α 1 w =0 l = Econ 101A Midterm Th November 006. You have approximatey 1 hour and 0 minutes to answer the questions in the midterm. I wi coect the exams at 11.00 sharp. Show your work, and good uck! Probem 1. Profit

More information

AFM Final Exam Review #1

AFM Final Exam Review #1 AFM Final Exam Review # Name. A home security company offers a security system that uses the numbers 0 through 6, inclusive, for a -digit security code. How many different security codes are possible if

More information

Additional Guidance 2019 ex-ante data reporting form. October 2018

Additional Guidance 2019 ex-ante data reporting form. October 2018 Additiona Guidance 2019 ex-ante data reporting form October 2018 The foowing sides compement the definitions and guidance incuded in the Ex-ante Contributions Reporting Form (hereafter Data Reporting Form)

More information

not to be republished NCERT Chapter 3 Production and Costs 3.1 PRODUCTION FUNCTION

not to be republished NCERT Chapter 3 Production and Costs 3.1 PRODUCTION FUNCTION Chapter 3 A Firm Effort In the previous chapter, we have discussed the behaviour of the consumers. In this chapter as well as in the next, we shall examine the behaviour of a producer. A producer or a

More information

Marking Guidelines 2010 examination June series. Chemistry Investigative Skills Assignment. General Certificate of Education CHM3T/Q10/MG

Marking Guidelines 2010 examination June series. Chemistry Investigative Skills Assignment. General Certificate of Education CHM3T/Q10/MG Genera Certificate of Education Chemistry Investigative Skis Assignment CHM3T/Q0/MG Marking Guideines 200 examination June series WMP/Jun0/CHM3T/Q0/MG Chemistry - AQA GCE CHM3T/Q0 Mark Scheme 200 June

More information

STATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics. Ph. D. Comprehensive Examination: Macroeconomics Fall, 2010

STATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics. Ph. D. Comprehensive Examination: Macroeconomics Fall, 2010 STATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics Ph. D. Comprehensive Examination: Macroeconomics Fall, 2010 Section 1. (Suggested Time: 45 Minutes) For 3 of the following 6 statements, state

More information

MTH6154 Financial Mathematics I Interest Rates and Present Value Analysis

MTH6154 Financial Mathematics I Interest Rates and Present Value Analysis 16 MTH6154 Financial Mathematics I Interest Rates and Present Value Analysis Contents 2 Interest Rates and Present Value Analysis 16 2.1 Definitions.................................... 16 2.1.1 Rate of

More information

Finance Practice Midterm #2 Solutions. 1) Consider the following production function. Suppose that capital is fixed at 1.

Finance Practice Midterm #2 Solutions. 1) Consider the following production function. Suppose that capital is fixed at 1. Finance 00 Practice Midterm # Soutions ) Consider the foowing production function. Suppose that capita is fied at. Q K. L.05L For what vaues of Q is margina cost increasing? For what vaues of Q is margina

More information

A guide to your with-profits investment and how we manage our With-Profit Fund

A guide to your with-profits investment and how we manage our With-Profit Fund Important information A guide to your with-profits investment and how we manage our With-Profit Fund For customers investing through an Aviva investment bond. Contents This guide is important as it aims

More information

Key Features of the Tax-Free Flexible Plan

Key Features of the Tax-Free Flexible Plan Key Features of the The Key Features suppied beow appy to the adut investment eement of the Famiy Fexibe Pan. No advice has been provided by Scottish Friendy in reation to this pan. If you are in any doubt

More information

Equity correlations implied by index options: estimation and model uncertainty analysis

Equity correlations implied by index options: estimation and model uncertainty analysis 1/18 : estimation and model analysis, EDHEC Business School (joint work with Rama COT) Modeling and managing financial risks Paris, 10 13 January 2011 2/18 Outline 1 2 of multi-asset models Solution to

More information

3.1 Solutions to Exercises

3.1 Solutions to Exercises .1 Solutions to Exercises 1. (a) f(x) will approach + as x approaches. (b) f(x) will still approach + as x approaches -, because any negative integer x will become positive if it is raised to an even exponent,

More information

"Pricing Exotic Options using Strong Convergence Properties

Pricing Exotic Options using Strong Convergence Properties Fourth Oxford / Princeton Workshop on Financial Mathematics "Pricing Exotic Options using Strong Convergence Properties Klaus E. Schmitz Abe schmitz@maths.ox.ac.uk www.maths.ox.ac.uk/~schmitz Prof. Mike

More information

SNELL S LAW AND UNIFORM REFRACTION. Contents

SNELL S LAW AND UNIFORM REFRACTION. Contents SNELL S LAW AND UNIFORM REFRACTION CRISTIAN E. GUTIÉRREZ Contents 1. Snell s law of refraction 1 1.1. In vector form 1 1.2. κ < 1 2 1.3. κ > 1 3 1.4. κ = 1 4 2. Uniform refraction 4 2.1. Surfaces with

More information

Power Resistors Cooled by Auxiliary Heatsink (Not Supplied) Thick Film Technology

Power Resistors Cooled by Auxiliary Heatsink (Not Supplied) Thick Film Technology Power Resistors Cooled by Auxiliary Heatsink (Not Supplied) Thick Film Technology FEATURES System without external radiation High power / volume ratio Non-inductive Screw-on outputs Possible configuration

More information

Uninsured Unemployment Risk and Optimal Monetary Policy

Uninsured Unemployment Risk and Optimal Monetary Policy Uninsured Unemployment Risk and Optimal Monetary Policy Edouard Challe CREST & Ecole Polytechnique ASSA 2018 Strong precautionary motive Low consumption Bad aggregate shock High unemployment Low output

More information

Kinetic Energy for a mass (m) at a velocity (V) (an Extensive Property) Frequently, one is interested in the change of KE from State 1 to State 2:

Kinetic Energy for a mass (m) at a velocity (V) (an Extensive Property) Frequently, one is interested in the change of KE from State 1 to State 2: Kinetic Energy for a mass (m) at a velocity (V) (an Extensive Property) Frequently, one is interested in the change of KE from State 1 to State 2: Potential Energy for a mass (m) in a gravational potential

More information

A guide to your with-profits investment and how we manage our With-Profit Fund

A guide to your with-profits investment and how we manage our With-Profit Fund Important information A guide to your with-profits investment and how we manage our With-Profit Fund For customers investing through pension pans. Contents This guide is important as it aims to answer

More information

Chapter II: Labour Market Policy

Chapter II: Labour Market Policy Chapter II: Labour Market Policy Section 2: Unemployment insurance Literature: Peter Fredriksson and Bertil Holmlund (2001), Optimal unemployment insurance in search equilibrium, Journal of Labor Economics

More information

Notes on Relational Incentive Systems

Notes on Relational Incentive Systems Notes on Relational Incentive Systems Robert Gibbons, Hongyi Li, Sarah Venables August 22, 2012 1 Optimal Incentive Contracts Model Output y {0, 1} where Pry = 1] = a 1 - observable but non-contractible.

More information

Asset-based Estimates for Default Probabilities for Commercial Banks

Asset-based Estimates for Default Probabilities for Commercial Banks Asset-based Estimates for Default Probabilities for Commercial Banks Statistical Laboratory, University of Cambridge September 2005 Outline Structural Models Structural Models Model Inputs and Outputs

More information

Advanced Microeconomics(ECH 32306)

Advanced Microeconomics(ECH 32306) Advanced Microeconomics(ECH 6) Homeork --- Soutions Expected Utiity Teory On p Jee and Reny say tat AXIOM G4 (Monotonicity) impies a an Prove tis We prove tis by contradiction Suppose a an, ten a a n and

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION Realizing effective magnetic field for photons by controlling the phase of dynamic modulation: Supplementary information Kejie Fang Department of Physics, Stanford University, Stanford, California 94305,

More information

GCSE Homework Unit 2 Foundation Tier Exercise Pack New AQA Syllabus

GCSE Homework Unit 2 Foundation Tier Exercise Pack New AQA Syllabus GCSE Homework Unit 2 Foundation Tier Exercise Pack New AQA Syllabus The more negative a number, the smaller it is. The order of operations is Brackets, Indices, Division, Multiplication, Addition and Subtraction.

More information

Multilevel Monte Carlo Path Simulation

Multilevel Monte Carlo Path Simulation Mutieve Monte Caro Path Simuation Mike Gies gies@comab.ox.ac.uk Oxford University Computing Laboratory 15th Scottish Computationa Mathematics Symposium Mutieve Monte Caro p. 1/34 SDEs in Finance In computationa

More information

Lesson 10: Interpreting Quadratic Functions from Graphs and Tables

Lesson 10: Interpreting Quadratic Functions from Graphs and Tables : Interpreting Quadratic Functions from Graphs and Tables Student Outcomes Students interpret quadratic functions from graphs and tables: zeros ( intercepts), intercept, the minimum or maximum value (vertex),

More information

Basic notions of probability theory: continuous probability distributions. Piero Baraldi

Basic notions of probability theory: continuous probability distributions. Piero Baraldi Basic notions of probability theory: continuous probability distributions Piero Baraldi Probability distributions for reliability, safety and risk analysis: discrete probability distributions continuous

More information

Comprehensive Exam. August 19, 2013

Comprehensive Exam. August 19, 2013 Comprehensive Exam August 19, 2013 You have a total of 180 minutes to complete the exam. If a question seems ambiguous, state why, sharpen it up and answer the sharpened-up question. Good luck! 1 1 Menu

More information

Stability in geometric & functional inequalities

Stability in geometric & functional inequalities Stability in geometric & functional inequalities A. Figalli The University of Texas at Austin www.ma.utexas.edu/users/figalli/ Alessio Figalli (UT Austin) Stability in geom. & funct. ineq. Krakow, July

More information

PROBLEM SET 7 ANSWERS: Answers to Exercises in Jean Tirole s Theory of Industrial Organization

PROBLEM SET 7 ANSWERS: Answers to Exercises in Jean Tirole s Theory of Industrial Organization PROBLEM SET 7 ANSWERS: Answers to Exercises in Jean Tirole s Theory of Industrial Organization 12 December 2006. 0.1 (p. 26), 0.2 (p. 41), 1.2 (p. 67) and 1.3 (p.68) 0.1** (p. 26) In the text, it is assumed

More information

Chapter 6 BLM Answers

Chapter 6 BLM Answers Chapter 6 BLM Answers BLM 6 2 Chapter 6 Prerequisite Skills 1. a) 0.50, 50% 0.60, 60% 2.3, 233.3% d) 3, 300% 108 km/h 160 m/km 50 m/min 3. 1.99 m 4. a) Time Worked, t (h) Earnings, E ($) 2 30 4 60 6 90

More information

Incentives and economic growth

Incentives and economic growth Econ 307 Lecture 8 Incentives and economic growth Up to now we have abstracted away from most of the incentives that agents face in determining economic growth (expect for the determination of technology

More information

Foundational Preliminaries: Answers to Within-Chapter-Exercises

Foundational Preliminaries: Answers to Within-Chapter-Exercises C H A P T E R 0 Foundational Preliminaries: Answers to Within-Chapter-Exercises 0A Answers for Section A: Graphical Preliminaries Exercise 0A.1 Consider the set [0,1) which includes the point 0, all the

More information

Earnings Inequality and the Minimum Wage: Evidence from Brazil

Earnings Inequality and the Minimum Wage: Evidence from Brazil Earnings Inequality and the Minimum Wage: Evidence from Brazil Niklas Engbom June 16, 2016 Christian Moser World Bank-Bank of Spain Conference This project Shed light on drivers of earnings inequality

More information

EE 521 Instrumentation and Measurements Fall 2007 Solutions for homework assignment #2

EE 521 Instrumentation and Measurements Fall 2007 Solutions for homework assignment #2 Problem 1 (1) EE 51 Instrumentation and Measurements Fall 007 Solutions for homework assignment # f(x) = 1 σ π e () If the height of the peaks in the distribution as drawn are assumed to be 1, then the

More information

International Trade Gravity Model

International Trade Gravity Model International Trade Gravity Model Yiqing Xie School of Economics Fudan University Dec. 20, 2013 Yiqing Xie (Fudan University) Int l Trade - Gravity (Chaney and HMR) Dec. 20, 2013 1 / 23 Outline Chaney

More information

Product Pricing, Lead Time and Capacity Selection in Price and Time Sensitive Markets

Product Pricing, Lead Time and Capacity Selection in Price and Time Sensitive Markets Product Pricing, Lead Time and Capacity Seection in Price and Time Sensitive Markets SACHIN JAYASWAL Department of Management Sciences University of Wateroo, Canada joint work wit Eizabet Jewkes¹ and Saiba

More information

EE 577: Wireless and Personal Communications

EE 577: Wireless and Personal Communications EE 577: Wireless and Personal Communications Large-Scale Signal Propagation Models 1 Propagation Models Basic Model is to determine the major path loss effects This can be refined to take into account

More information

CSCI 1951-G Optimization Methods in Finance Part 07: Portfolio Optimization

CSCI 1951-G Optimization Methods in Finance Part 07: Portfolio Optimization CSCI 1951-G Optimization Methods in Finance Part 07: Portfolio Optimization March 9 16, 2018 1 / 19 The portfolio optimization problem How to best allocate our money to n risky assets S 1,..., S n with

More information

The Role of Education Signaling in Explaining the Growth of College Wage Premium

The Role of Education Signaling in Explaining the Growth of College Wage Premium The Role of Education Signaling in Explaining the Growth of College Wage Premium Yu Zheng City University of Hong Kong European University Institute ERF Workshop on Macroeconomics, Istanbul September,

More information

Photoionization of Ne 8+

Photoionization of Ne 8+ Photoionization of Ne 8+ M. S. Pindzola Department of Physics Auburn University, Auburn, Alabama This work was supported in part by grants from: US Department of Energy US National Science Foundation Computational

More information

Uniform Refraction in Negative Refractive Index Materials

Uniform Refraction in Negative Refractive Index Materials Haverford College Haverford Scholarship Faculty Publications Mathematics 2015 Uniform Refraction in Negative Refractive Index Materials Eric Stachura Haverford College, estachura@haverford.edu Cristian

More information

(e) Form the PDE by eliminating the arbitrary function f(x+y+z,xy-z 2 ) =0

(e) Form the PDE by eliminating the arbitrary function f(x+y+z,xy-z 2 ) =0 Subject Code: R1310/R13 Set No - 1 I B.Tech I Semester Regular/Supple. Examinations Nov./Dec. - 015 Answering the question in Part-A is Compulsor, d 1. (a) Solve the D.E tan tan x cos cos x dx + = (b)

More information

0 Review: Lines, Fractions, Exponents Lines Fractions Rules of exponents... 5

0 Review: Lines, Fractions, Exponents Lines Fractions Rules of exponents... 5 Contents 0 Review: Lines, Fractions, Exponents 3 0.1 Lines................................... 3 0.2 Fractions................................ 4 0.3 Rules of exponents........................... 5 1 Functions

More information

Mark Scheme (Results) November 2009

Mark Scheme (Results) November 2009 Mark Scheme (Results) November 2009 IGCSE IGCSE Physics (4420) Paper F Edexcel Limited. Registered in England and Wales No. 4496750 Registered Office: One90 High Holborn, London WCV 7BH 4420_F Nov 2009

More information

INDIAN INSTITUTE OF SCIENCE STOCHASTIC HYDROLOGY. Lecture -5 Course Instructor : Prof. P. P. MUJUMDAR Department of Civil Engg., IISc.

INDIAN INSTITUTE OF SCIENCE STOCHASTIC HYDROLOGY. Lecture -5 Course Instructor : Prof. P. P. MUJUMDAR Department of Civil Engg., IISc. INDIAN INSTITUTE OF SCIENCE STOCHASTIC HYDROLOGY Lecture -5 Course Instructor : Prof. P. P. MUJUMDAR Department of Civil Engg., IISc. Summary of the previous lecture Moments of a distribubon Measures of

More information

Tax Savings You Can Bank On

Tax Savings You Can Bank On www.horizonbue.com/fsa Tax Savings You Can Bank On Fexibe Spending Accounts Highights Fexibe Spending Accounts Fexibe Spending Accounts (FSAs) are a convenient, before-tax way to pay for eigibe out-of-pocket

More information

Pricing theory of financial derivatives

Pricing theory of financial derivatives Pricing theory of financial derivatives One-period securities model S denotes the price process {S(t) : t = 0, 1}, where S(t) = (S 1 (t) S 2 (t) S M (t)). Here, M is the number of securities. At t = 1,

More information

Prob and Stats, Nov 7

Prob and Stats, Nov 7 Prob and Stats, Nov 7 The Standard Normal Distribution Book Sections: 7.1, 7.2 Essential Questions: What is the standard normal distribution, how is it related to all other normal distributions, and how

More information

ALGEBRA 2 FINAL EXAM STUDY GUIDE

ALGEBRA 2 FINAL EXAM STUDY GUIDE Unit: Polynomials ALGEBRA 2 FINAL EXAM STUDY GUIDE 1. (2x 4 7x 3 + 4x 7) + (2x 2 4x + 8) 2. (-4x 3 + 7x 6) (7x 4 + 3x 3 2x 4) 3. (3x 3 + 2x + 7)(x 2 4) 4. x 4 4x 3 3x 2 + 14x 8 (x 3) (Long AND synthetic

More information

A Model of Financial Intermediation

A Model of Financial Intermediation A Model of Financial Intermediation Jesús Fernández-Villaverde University of Pennsylvania December 25, 2012 Jesús Fernández-Villaverde (PENN) A Model of Financial Intermediation December 25, 2012 1 / 43

More information

Problem # 2. In a country with a large population, the number of persons, N, that are HIV positive at time t is given by:

Problem # 2. In a country with a large population, the number of persons, N, that are HIV positive at time t is given by: Problem # 1 A marketing survey indicates that 60% of the population owns an automobile, 30% owns a house, and 20% owns both an automobile and a house. Calculate the probability that a person chosen at

More information

The Effects of Specific Commodity Taxes on Output and Location of Free Entry Oligopoly

The Effects of Specific Commodity Taxes on Output and Location of Free Entry Oligopoly San Jose State University SJSU ScholarWorks Faculty Publications Economics 1-1-009 The Effects of Specific Commodity Taxes on Output and Location of Free Entry Oligopoly Yeung-Nan Shieh San Jose State

More information

State of Stress in Three Dimensions

State of Stress in Three Dimensions State of Stress in Three Dimensions Theories of failure Introduction: Due to large numbers of examples of compound stresses met with in engineering practice, the cause of failure or permanent set under

More information

21 MATHEMATICAL MODELLING

21 MATHEMATICAL MODELLING 21 MATHEMATICAL MODELLING Chapter 21 Mathematical Modelling Objectives After studying this chapter you should understand how mathematical models are formulated, solved and interpreted; appreciate the power

More information

Fuzzy Volatility Forecasts and Fuzzy Option Values

Fuzzy Volatility Forecasts and Fuzzy Option Values Class of Volatility Models Fuzzy Volatility Forecasts and Fuzzy Option Values K. Thiagarajah Illinois State University, Normal, Illinois. 41st Actuarial Research Conference Montreal, Canada August 10-12,

More information

Liquidity, Asset Price, and Welfare

Liquidity, Asset Price, and Welfare Liquidity, Asset Price, and Welfare Jiang Wang MIT October 20, 2006 Microstructure of Foreign Exchange and Equity Markets Workshop Norges Bank and Bank of Canada Introduction Determinants of liquidity?

More information

Y t )+υ t. +φ ( Y t. Y t ) Y t. α ( r t. + ρ +θ π ( π t. + ρ

Y t )+υ t. +φ ( Y t. Y t ) Y t. α ( r t. + ρ +θ π ( π t. + ρ Macroeconomics ECON 2204 Prof. Murphy Problem Set 6 Answers Chapter 15 #1, 3, 4, 6, 7, 8, and 9 (on pages 462-63) 1. The five equations that make up the dynamic aggregate demand aggregate supply model

More information

International Trade Lecture 14: Firm Heterogeneity Theory (I) Melitz (2003)

International Trade Lecture 14: Firm Heterogeneity Theory (I) Melitz (2003) 14.581 International Trade Lecture 14: Firm Heterogeneity Theory (I) Melitz (2003) 14.581 Week 8 Spring 2013 14.581 (Week 8) Melitz (2003) Spring 2013 1 / 42 Firm-Level Heterogeneity and Trade What s wrong

More information

Aggregate Implications of Lumpy Adjustment

Aggregate Implications of Lumpy Adjustment Aggregate Implications of Lumpy Adjustment Eduardo Engel Cowles Lunch. March 3rd, 2010 Eduardo Engel 1 1. Motivation Micro adjustment is lumpy for many aggregates of interest: stock of durable good nominal

More information

Model for rate of return to capital mathematical spiciness: ********** 10 stars (this appendix uses some advanced calculus) 1 Introduction

Model for rate of return to capital mathematical spiciness: ********** 10 stars (this appendix uses some advanced calculus) 1 Introduction Model for rate of return to capital mathematical spiciness: ********** 10 stars (this appendix uses some advanced calculus) 1 Introduction The purpose of this model is to investigate how different values

More information

ECON 4325 Monetary Policy and Business Fluctuations

ECON 4325 Monetary Policy and Business Fluctuations ECON 4325 Monetary Policy and Business Fluctuations Tommy Sveen Norges Bank January 28, 2009 TS (NB) ECON 4325 January 28, 2009 / 35 Introduction A simple model of a classical monetary economy. Perfect

More information

SCOPE OF ACCREDITATION TO ISO/IEC 17025:2005 & ANSI/NCSL Z & ANSI/NCSL Z

SCOPE OF ACCREDITATION TO ISO/IEC 17025:2005 & ANSI/NCSL Z & ANSI/NCSL Z SCOPE OF ACCREDITATION TO ISO/IEC 17025:2005 & ANSI/NCSL Z540-1-1994 & ANSI/NCSL Z540.3-2006 NATIONAL TECHNICAL SYSTEMS (NTS) 1536 East Valencia Drive Fullerton, CA 92831 Cathy Rumble Phone: (714) 879-6110

More information

Uncertainty Shocks In A Model Of Effective Demand

Uncertainty Shocks In A Model Of Effective Demand Uncertainty Shocks In A Model Of Effective Demand Susanto Basu Boston College NBER Brent Bundick Boston College Preliminary Can Higher Uncertainty Reduce Overall Economic Activity? Many think it is an

More information

6.2 Normal Distribution. Normal Distributions

6.2 Normal Distribution. Normal Distributions 6.2 Normal Distribution Normal Distributions 1 Homework Read Sec 6-1, and 6-2. Make sure you have a good feel for the normal curve. Do discussion question p302 2 3 Objective Identify Complete normal model

More information