A model of working capital with idiosyncratic production risk and rm failure

Size: px
Start display at page:

Download "A model of working capital with idiosyncratic production risk and rm failure"

Transcription

1 A model of oking capital ith idiosyncatic poduction isk and m failue Pof. Mcandless UEMA Novembe, 2 Outline of the talk Intoduction Model Stationay states Dynamic vesion of model onclusions Intoduction Pat of a eseach pogam fo modelling banking systems A simple model ith banks and isky assets Whee a faction of the ms fail Banks need to hold loan loss eseves Need isk avese m manages So less than half the ms fail The model: Fims Fim manages ae like eveyone else except Fim po ts ente thei utility functions X E t= t ln c i t + Bh i t + G( k t )

2 subject to k t = t ' k t kt k h k t t kt k f t t h k t ' k t 2 ' l ; ' u ith a unifom distibution f t is the inteest on oking capital to pay the age bill Given that the utility function is sepaable, ms manages max X E t= t G( k t ) subject to the budget constaint The model: Fims With a unifom distiubtion, the expected utility maximization poblem can be itten max k k t ;hk t ' u ' l Z ' u G( t ' j t k k t h k t t kt k f t t h k t )dj: ' l We use a G() ith constant absolute isk avesion G(x) = ( exp ( x)) is the coe cient of absolute isk avesion Solving the max poblem is ugly The model: Fims FOs give (afte simpli cation) t k k t = f t t h k t ( ) T t = y l t ' u ' l e ('u ' l )y t e ('u ' l )y t + T L t = T t ' l y t 2 2 (' u ' l ) y t D t = ('u y t T t ) 2 2 (' u ' l ) y t The model: Financial intemediaies (banks) 2

3 Take deposits (in money) fom households Lend money to ms fo oking capital ompetitive Zeo po t condition d t N t = f t P t t t P t T L t Equilibium condition fo capital maket N t + ( ) (g t ) M t = P t t t ( ) (g t ) M t is the faction of money goth that goes to the nancial system The model: ouseholds Repesentative household maximizes X t ln (c t ) + h t A ln ( h ) h t= h t =h is the pobability that this family ill be equied to supply h units of labo subject to the budget constaint m t P t + k t+ = t h t + t k t + ( )k t + d t + d t n t P t and the cash-in-advance constaint P t c t = m t + (g t ) M t n t d t is the lump sum dividend payment to the household fom the ms The model: ouseholds FOs ae hee t = E t t+ ( t+ + ( t = Bt d c t P t c t = E t P t+ c t+ d t B A ln ( h ) h )) 3

4 Figue : Stationay state values fo g = The model: Equilibium conditions Since all households ae alike t = h t M t = m t K t = k t D t = d t t = c t N t = n t t = y t Maket cleaing in the oking capital makets N t + ( ) (g t ) M t = P t t t Stationay states, g=, alpha = 4 Stationay states, g=, alpha = 4 Stationay states, g=: Output and alpha (ARA coe cient) Stationay states, g=: Fim failue and alpha (ARA coe cient) Dynamic vesion of the model Log-lineaization of the model (aound stationay state) Use method of undetemined coe cients (a la Uhlig) to solve Find linea policy functions of the fom x t = P x t + Qz t y t = Rx t + Sz t 4

5 Figue 2: Moe stationay state values fo g =.3.2. α = α =.5 α = α = 2 α = 4.6 α = 8.5 α = Figue 3: Stationay state output and isk avesion 5

6 .6.55 α = α =.5 α = α = α = α = 6 α = Figue 4: Faction of ms that fail in the stationay state h hee x t = ekt+ ; M f t ; P e i t, yt = h i z t = et ; eg t using = Ax t + Bx t + y t + Dz t ; h e t ; e t ; e t ; e t ; e t ; N e t ; ; T g i, t ; e t d ; e f t and = E t [F x t+ + Gx t + x t + Jy t+ + Ky t + Lz t+ + Mz t ] ; z t+ = Nz t + " t+ ; = e t E t e t+ + E t e t+ ; = e d t e t + e t ; = e t + P e t E tpt+ e E tt+ e ; = M=P M f h i t + n N=P M=P ept + KK e t+ ( e t + e t ) Ke t ( + )K e K t D e D t d N=P e N t d N=P e d t ; idthheighteqnaay* = ept + e t N=P N e t ; = T T g 'l ' u ' l e u (' 'l ) + e e ('u ' l ) = g T t e t e Kt ; ( + g ) M=P g ( ' u ' l ) (' u ' l ) 2 2 A t e ; e ('u ' l ) 2 fm t M=P eg t + 6

7 3 x 2 5 T d f idthheighteqnaay* = T g t e f t e t t e ; = T LT f T (T ' L l ) t gt (' u ' l ) t + T 2 (' l ) 2 e 2(' u ' l ) t ; = DD e t + T ('u T ) (' gt u ) 2 T 2 (' u ' l ) t e 2(' u ' l ) t = e t t e K e t ( ) e t ; = f e f d N=P t e d t + N e t Pt e T L ft L t + f = N=P N e t e t + e h t ( ) g + ( ) M=P M f t + ( ) M=P eg t ; g = f M t eg t f Mt : Impulse esponse functions (tech shock) ith dif = : Impulse esponse functions (tech shock) ith = :5; dif = :6 Impulse esponse functions (tech shock) ith = 4; dif = :6 Impulse esponse functions (money shock) ith dif = :; = e t + e t ; M=P + N=P i ept 7

8 3 x 2 5 T d f x 2 5 T d f

9 T d f Impulse esponse functions (money shock) ith = :5; dif = :6; = Impulse esponse functions (money shock) ith = 4; dif = :6; = Impulse esponse functions (money shock) ith dif = :; g = :2; = Impulse esponse functions (money shock) ith = :5; dif = :6; g = :2; = Impulse esponse functions (money shock) ith = 4; dif = :6; g = :2; = Impulse esponse functions (money shock) ith = :5; dif = :; g = :2; = Impulse esponse functions (money shock) ith = :5; dif = :6; g = :2; = Impulse esponse functions (money shock) ith = 4; dif = :6; g = :2; = 9

10 T d f T d f

11 T d f T d f

12 T d f x 4 2 T d f

13 3 x 4 2 T d f x 4 2 T d f

Macroeconomics II Money in the Utility function

Macroeconomics II Money in the Utility function McCless]Prof. McCless UCEMA Prof. McCless UCEMA Macroeconomics II Money in the Utility function [ October, 00 Money in the Utility function Money in the Utility function Alternative way to add money to

More information

Solution to Problem First, the firm minimizes the cost of the inputs: min wl + rk + sf

Solution to Problem First, the firm minimizes the cost of the inputs: min wl + rk + sf Econ 0A Poblem Set 4 Solutions ue in class on Tu 4 Novembe. No late Poblem Sets accepted, so! This Poblem set tests the knoledge that ou accumulated mainl in lectues 5 to 9. Some of the mateial ill onl

More information

Notes on McCall s Model of Job Search. Timothy J. Kehoe March if job offer has been accepted. b if searching

Notes on McCall s Model of Job Search. Timothy J. Kehoe March if job offer has been accepted. b if searching Notes on McCall s Model of Job Seach Timothy J Kehoe Mach Fv ( ) pob( v), [, ] Choice: accept age offe o eceive b and seach again next peiod An unemployed oke solves hee max E t t y t y t if job offe has

More information

Hansen s basic RBC model

Hansen s basic RBC model ansen s basic RBC model George McCandless UCEMA Spring ansen s RBC model ansen s RBC model First RBC model was Kydland and Prescott (98) "Time to build and aggregate uctuations," Econometrica Complicated

More information

Test 2, ECON , Summer 2013

Test 2, ECON , Summer 2013 Test, ECON 6090-9, Summe 0 Instuctions: Answe all questions as completely as possible. If you cannot solve the poblem, explaining how you would solve the poblem may ean you some points. Point totals ae

More information

Review of the H-O model. Problem 1. Assume that the production functions in the standard H-O model are the following:

Review of the H-O model. Problem 1. Assume that the production functions in the standard H-O model are the following: Revie of the H-O model Poblem 1 Assume that the poduction functions in the standad H-O model ae the folloing: f 1 L 1 1 ) L 1/ 1 1/ 1 f L ) L 1/3 /3 In addition e assume that the consume pefeences ae given

More information

Handout: IS/LM Model

Handout: IS/LM Model Econ 32 - IS/L odel Notes Handout: IS/L odel IS Cuve Deivation Figue 4-4 in the textbook explains one deivation of the IS cuve. This deivation uses the Induced Savings Function fom Chapte 3. Hee, I descibe

More information

A Comment on Increasing Returns and Spatial. Unemployment Disparities

A Comment on Increasing Returns and Spatial. Unemployment Disparities The Society fo conomic Studies The nivesity of Kitakyushu Woking Pape Seies No.06-5 (accepted in Mach, 07) A Comment on Inceasing Retuns and Spatial nemployment Dispaities Jumpei Tanaka ** The nivesity

More information

Econ 201: Problem Set 2 Answers

Econ 201: Problem Set 2 Answers Econ 0: Poblem Set Anses Instucto: Alexande Sollaci T.A.: Ryan Hughes Winte 08 Question (a) The fixed cost is F C = 4 and the total vaiable costs ae T CV (y) = 4y. (b) To anse this question, let x = (x,...,

More information

Problem 1: Multiple Choice Questions

Problem 1: Multiple Choice Questions Mathematics 102 Review Questions Poblem 1: Multiple Choice Questions 1: Conside the function y = f(x) = 3e 2x 5e 4x (a) The function has a local maximum at x = (1/2)ln(10/3) (b) The function has a local

More information

Macro Theory B. The Permanent Income Hypothesis

Macro Theory B. The Permanent Income Hypothesis Maco Theoy B The Pemanent Income Hypothesis Ofe Setty The Eitan Beglas School of Economics - Tel Aviv Univesity May 15, 2015 1 1 Motivation 1.1 An econometic check We want to build an empiical model with

More information

Unobserved Correlation in Ascending Auctions: Example And Extensions

Unobserved Correlation in Ascending Auctions: Example And Extensions Unobseved Coelation in Ascending Auctions: Example And Extensions Daniel Quint Univesity of Wisconsin Novembe 2009 Intoduction In pivate-value ascending auctions, the winning bidde s willingness to pay

More information

Suggested Solutions to Homework #4 Econ 511b (Part I), Spring 2004

Suggested Solutions to Homework #4 Econ 511b (Part I), Spring 2004 Suggested Solutions to Homewok #4 Econ 5b (Pat I), Sping 2004. Conside a neoclassical gowth model with valued leisue. The (epesentative) consume values steams of consumption and leisue accoding to P t=0

More information

Brad De Long è Maury Obstfeld, Petra Geraats è Galina Hale-Borisova. Econ 202B, Fall 1998

Brad De Long è Maury Obstfeld, Petra Geraats è Galina Hale-Borisova. Econ 202B, Fall 1998 uggested olutions to oblem et 4 Bad De Long Mauy Obstfeld, eta Geaats Galina Hale-Boisova Econ 22B, Fall 1998 1. Moal hazad and asset-pice bubbles. a The epesentative entepeneu boows B on date 1 and invests

More information

CHAPTER 3. Section 1. Modeling Population Growth

CHAPTER 3. Section 1. Modeling Population Growth CHAPTER 3 Section 1. Modeling Population Gowth 1.1. The equation of the Malthusian model is Pt) = Ce t. Apply the initial condition P) = 1. Then 1 = Ce,oC = 1. Next apply the condition P1) = 3. Then 3

More information

A Stochastic EOQ Policy of Cold-Drink-For a Retailer

A Stochastic EOQ Policy of Cold-Drink-For a Retailer Vietnam Jounal of Mathematics 33:4 005) 437 44 9LHWQDP -RXUQDO RI 0$7+0$7,&6 9$67 A Stochastic EOQ Policy of Cold-Dink-Fo a Retaile Shib Sanka Sana 1 Kipasindhu Chaudhui 1 Depatment of Math., Bhanga Mahavidyalaya

More information

DonnishJournals

DonnishJournals DonnishJounals 041-1189 Donnish Jounal of Educational Reseach and Reviews. Vol 1(1) pp. 01-017 Novembe, 014. http:///dje Copyight 014 Donnish Jounals Oiginal Reseach Pape Vecto Analysis Using MAXIMA Savaş

More information

Do Managers Do Good With Other People s Money? Online Appendix

Do Managers Do Good With Other People s Money? Online Appendix Do Manages Do Good With Othe People s Money? Online Appendix Ing-Haw Cheng Haison Hong Kelly Shue Abstact This is the Online Appendix fo Cheng, Hong and Shue 2013) containing details of the model. Datmouth

More information

MEASURING CHINESE RISK AVERSION

MEASURING CHINESE RISK AVERSION MEASURING CHINESE RISK AVERSION --Based on Insuance Data Li Diao (Cental Univesity of Finance and Economics) Hua Chen (Cental Univesity of Finance and Economics) Jingzhen Liu (Cental Univesity of Finance

More information

6 Matrix Concentration Bounds

6 Matrix Concentration Bounds 6 Matix Concentation Bounds Concentation bounds ae inequalities that bound pobabilities of deviations by a andom vaiable fom some value, often its mean. Infomally, they show the pobability that a andom

More information

Determining solar characteristics using planetary data

Determining solar characteristics using planetary data Detemining sola chaacteistics using planetay data Intoduction The Sun is a G-type main sequence sta at the cente of the Sola System aound which the planets, including ou Eath, obit. In this investigation

More information

of the contestants play as Falco, and 1 6

of the contestants play as Falco, and 1 6 JHMT 05 Algeba Test Solutions 4 Febuay 05. In a Supe Smash Bothes tounament, of the contestants play as Fox, 3 of the contestants play as Falco, and 6 of the contestants play as Peach. Given that thee

More information

Technical Appendix for Financial Business Cycles

Technical Appendix for Financial Business Cycles Technical Appendix for Financial usiness Cycles Matteo Iacoviello Federal Reserve oard December 4, 05 This appendix contains some of the derivations for the paper Financial usiness Cycles.. The Extended

More information

VECTOR MECHANICS FOR ENGINEERS: STATICS

VECTOR MECHANICS FOR ENGINEERS: STATICS 4 Equilibium CHAPTER VECTOR MECHANICS FOR ENGINEERS: STATICS Fedinand P. Bee E. Russell Johnston, J. of Rigid Bodies Lectue Notes: J. Walt Ole Texas Tech Univesity Contents Intoduction Fee-Body Diagam

More information

Motion in Two Dimensions

Motion in Two Dimensions SOLUTIONS TO PROBLEMS Motion in Two Dimensions Section 3.1 The Position, Velocity, and Acceleation Vectos P3.1 x( m) 0!3 000!1 70!4 70 m y( m)!3 600 0 1 70! 330 m (a) Net displacement x + y 4.87 km at

More information

International Journal of Mathematical Archive-3(12), 2012, Available online through ISSN

International Journal of Mathematical Archive-3(12), 2012, Available online through  ISSN Intenational Jounal of Mathematical Achive-3(), 0, 480-4805 Available online though www.ijma.info ISSN 9 504 STATISTICAL QUALITY CONTROL OF MULTI-ITEM EOQ MOEL WITH VARYING LEAING TIME VIA LAGRANGE METHO

More information

Materials selection The materials index

Materials selection The materials index MME445: Lectue 20 Mateials selection The mateials index A. K. M. B. Rashid Pofesso, Depatment of MME BUET, Dhaka Leaning Objectives Knowledge & Undestanding Elementay knowledge of how to expess design

More information

763620SS STATISTICAL PHYSICS Solutions 2 Autumn 2012

763620SS STATISTICAL PHYSICS Solutions 2 Autumn 2012 763620SS STATISTICAL PHYSICS Solutions 2 Autumn 2012 1. Continuous Random Walk Conside a continuous one-dimensional andom walk. Let w(s i ds i be the pobability that the length of the i th displacement

More information

Rotational Motion: Statics and Dynamics

Rotational Motion: Statics and Dynamics Physics 07 Lectue 17 Goals: Lectue 17 Chapte 1 Define cente of mass Analyze olling motion Intoduce and analyze toque Undestand the equilibium dynamics of an extended object in esponse to foces Employ consevation

More information

An Inventory Model for Two Warehouses with Constant Deterioration and Quadratic Demand Rate under Inflation and Permissible Delay in Payments

An Inventory Model for Two Warehouses with Constant Deterioration and Quadratic Demand Rate under Inflation and Permissible Delay in Payments Ameican Jounal of Engineeing Reseach (AJER) 16 Ameican Jounal of Engineeing Reseach (AJER) e-issn: 3-847 p-issn : 3-936 Volume-5, Issue-6, pp-6-73 www.aje.og Reseach Pape Open Access An Inventoy Model

More information

Charges, Coulomb s Law, and Electric Fields

Charges, Coulomb s Law, and Electric Fields Q&E -1 Chages, Coulomb s Law, and Electic ields Some expeimental facts: Expeimental fact 1: Electic chage comes in two types, which we call (+) and (). An atom consists of a heavy (+) chaged nucleus suounded

More information

Math Notes on Kepler s first law 1. r(t) kp(t)

Math Notes on Kepler s first law 1. r(t) kp(t) Math 7 - Notes on Keple s fist law Planetay motion and Keple s Laws We conside the motion of a single planet about the sun; fo simplicity, we assign coodinates in R 3 so that the position of the sun is

More information

ME 3600 Control Systems Frequency Domain Analysis

ME 3600 Control Systems Frequency Domain Analysis ME 3600 Contol Systems Fequency Domain Analysis The fequency esponse of a system is defined as the steady-state esponse of the system to a sinusoidal (hamonic) input. Fo linea systems, the esulting steady-state

More information

Rigid Body Dynamics 2. CSE169: Computer Animation Instructor: Steve Rotenberg UCSD, Winter 2018

Rigid Body Dynamics 2. CSE169: Computer Animation Instructor: Steve Rotenberg UCSD, Winter 2018 Rigid Body Dynamics 2 CSE169: Compute Animation nstucto: Steve Rotenbeg UCSD, Winte 2018 Coss Poduct & Hat Opeato Deivative of a Rotating Vecto Let s say that vecto is otating aound the oigin, maintaining

More information

6 PROBABILITY GENERATING FUNCTIONS

6 PROBABILITY GENERATING FUNCTIONS 6 PROBABILITY GENERATING FUNCTIONS Cetain deivations pesented in this couse have been somewhat heavy on algeba. Fo example, detemining the expectation of the Binomial distibution (page 5.1 tuned out to

More information

Astrophysical Fluid Dynamics Solution Set 5 By Eric Bellm, Jeff Silverman, and Eugene Chiang

Astrophysical Fluid Dynamics Solution Set 5 By Eric Bellm, Jeff Silverman, and Eugene Chiang Astophysical Fluid Dynamics Solution Set 5 By Eic Bellm, Jeff Silveman, and Eugene Chiang Readings: Shu pages 73 8; pages 4 3 of Couse Reade, photocopied fom Fank, King, and Raine Poblem. Thee Can Be Only

More information

Chapter 22 The Electric Field II: Continuous Charge Distributions

Chapter 22 The Electric Field II: Continuous Charge Distributions Chapte The lectic Field II: Continuous Chage Distibutions A ing of adius a has a chage distibution on it that vaies as l(q) l sin q, as shown in Figue -9. (a) What is the diection of the electic field

More information

Absolute Specifications: A typical absolute specification of a lowpass filter is shown in figure 1 where:

Absolute Specifications: A typical absolute specification of a lowpass filter is shown in figure 1 where: FIR FILTER DESIGN The design of an digital filte is caied out in thee steps: ) Specification: Befoe we can design a filte we must have some specifications. These ae detemined by the application. ) Appoximations

More information

Internet Appendix for A Bayesian Approach to Real Options: The Case of Distinguishing Between Temporary and Permanent Shocks

Internet Appendix for A Bayesian Approach to Real Options: The Case of Distinguishing Between Temporary and Permanent Shocks Intenet Appendix fo A Bayesian Appoach to Real Options: The Case of Distinguishing Between Tempoay and Pemanent Shocks Steven R. Genadie Gaduate School of Business, Stanfod Univesity Andey Malenko Gaduate

More information

See the solution to Prob Ans. Since. (2E t + 2E c )ch - a. (s max ) t. (s max ) c = 2E c. 2E c. (s max ) c = 3M bh 2E t + 2E c. 2E t. h c.

See the solution to Prob Ans. Since. (2E t + 2E c )ch - a. (s max ) t. (s max ) c = 2E c. 2E c. (s max ) c = 3M bh 2E t + 2E c. 2E t. h c. *6 108. The beam has a ectangula coss section and is subjected to a bending moment. f the mateial fom which it is made has a diffeent modulus of elasticity fo tension and compession as shown, detemine

More information

SOME GENERAL NUMERICAL RADIUS INEQUALITIES FOR THE OFF-DIAGONAL PARTS OF 2 2 OPERATOR MATRICES

SOME GENERAL NUMERICAL RADIUS INEQUALITIES FOR THE OFF-DIAGONAL PARTS OF 2 2 OPERATOR MATRICES italian jounal of pue and applied mathematics n. 35 015 (433 44) 433 SOME GENERAL NUMERICAL RADIUS INEQUALITIES FOR THE OFF-DIAGONAL PARTS OF OPERATOR MATRICES Watheq Bani-Domi Depatment of Mathematics

More information

e.g: If A = i 2 j + k then find A. A = Ax 2 + Ay 2 + Az 2 = ( 2) = 6

e.g: If A = i 2 j + k then find A. A = Ax 2 + Ay 2 + Az 2 = ( 2) = 6 MOTION IN A PLANE 1. Scala Quantities Physical quantities that have only magnitude and no diection ae called scala quantities o scalas. e.g. Mass, time, speed etc. 2. Vecto Quantities Physical quantities

More information

Lab 10: Newton s Second Law in Rotation

Lab 10: Newton s Second Law in Rotation Lab 10: Newton s Second Law in Rotation We can descibe the motion of objects that otate (i.e. spin on an axis, like a popelle o a doo) using the same definitions, adapted fo otational motion, that we have

More information

Momentum and Collisions

Momentum and Collisions SOLUTIONS TO PROBLES Section 8. P8. m 3.00 kg, (a) omentum and Collisions Linea omentum and Its Consevation v ( 3.00î 4.00ĵ ) m s p mv ( 9.00î.0ĵ ) kg m s Thus, p x 9.00 kg m s and p y.0 kg m s. p p x

More information

Lecture 2 - Thermodynamics Overview

Lecture 2 - Thermodynamics Overview 2.625 - Electochemical Systems Fall 2013 Lectue 2 - Themodynamics Oveview D.Yang Shao-Hon Reading: Chapte 1 & 2 of Newman, Chapte 1 & 2 of Bad & Faulkne, Chaptes 9 & 10 of Physical Chemisty I. Lectue Topics:

More information

06 - ROTATIONAL MOTION Page 1 ( Answers at the end of all questions )

06 - ROTATIONAL MOTION Page 1 ( Answers at the end of all questions ) 06 - ROTATIONAL MOTION Page ) A body A of mass M while falling vetically downwads unde gavity beaks into two pats, a body B of mass ( / ) M and a body C of mass ( / ) M. The cente of mass of bodies B and

More information

Flux. Area Vector. Flux of Electric Field. Gauss s Law

Flux. Area Vector. Flux of Electric Field. Gauss s Law Gauss s Law Flux Flux in Physics is used to two distinct ways. The fist meaning is the ate of flow, such as the amount of wate flowing in a ive, i.e. volume pe unit aea pe unit time. O, fo light, it is

More information

Signaling. Economics of Information and Contracts Signaling and Informed Principal Problem. Signaling Games. Expected Payoffs

Signaling. Economics of Information and Contracts Signaling and Informed Principal Problem. Signaling Games. Expected Payoffs Signaling Economics o Inomation and Contacts Signaling and Inomed Pincipal Poblem event Koçkesen Koç Univesity Sceening: agent is inomed and pincipal uninomed Pincipal ties to educe inomation ent o agent

More information

PES 3950/PHYS 6950: Homework Assignment 6

PES 3950/PHYS 6950: Homework Assignment 6 PES 3950/PHYS 6950: Homewok Assignment 6 Handed out: Monday Apil 7 Due in: Wednesday May 6, at the stat of class at 3:05 pm shap Show all woking and easoning to eceive full points. Question 1 [5 points]

More information

SAMPLE QUIZ 3 - PHYSICS For a right triangle: sin θ = a c, cos θ = b c, tan θ = a b,

SAMPLE QUIZ 3 - PHYSICS For a right triangle: sin θ = a c, cos θ = b c, tan θ = a b, SAMPLE QUIZ 3 - PHYSICS 1301.1 his is a closed book, closed notes quiz. Calculatos ae pemitted. he ONLY fomulas that may be used ae those given below. Define all symbols and justify all mathematical expessions

More information

- 5 - TEST 1R. This is the repeat version of TEST 1, which was held during Session.

- 5 - TEST 1R. This is the repeat version of TEST 1, which was held during Session. - 5 - TEST 1R This is the epeat vesion of TEST 1, which was held duing Session. This epeat test should be attempted by those students who missed Test 1, o who wish to impove thei mak in Test 1. IF YOU

More information

Bifurcation Analysis for the Delay Logistic Equation with Two Delays

Bifurcation Analysis for the Delay Logistic Equation with Two Delays IOSR Jounal of Mathematics (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume, Issue 5 Ve. IV (Sep. - Oct. 05), PP 53-58 www.iosjounals.og Bifucation Analysis fo the Delay Logistic Equation with Two Delays

More information

Temporal-Difference Learning

Temporal-Difference Learning .997 Decision-Making in Lage-Scale Systems Mach 17 MIT, Sping 004 Handout #17 Lectue Note 13 1 Tempoal-Diffeence Leaning We now conside the poblem of computing an appopiate paamete, so that, given an appoximation

More information

3.6 Applied Optimization

3.6 Applied Optimization .6 Applied Optimization Section.6 Notes Page In this section we will be looking at wod poblems whee it asks us to maimize o minimize something. Fo all the poblems in this section you will be taking the

More information

QIP Course 10: Quantum Factorization Algorithm (Part 3)

QIP Course 10: Quantum Factorization Algorithm (Part 3) QIP Couse 10: Quantum Factoization Algoithm (Pat 3 Ryutaoh Matsumoto Nagoya Univesity, Japan Send you comments to yutaoh.matsumoto@nagoya-u.jp Septembe 2018 @ Tokyo Tech. Matsumoto (Nagoya U. QIP Couse

More information

The contract Theory of Patents

The contract Theory of Patents The contact Theoy of Patents Vincenzo Denicolo, Luigi Albeto Fanzoni Intenational Review of Law an Economics23,2004 1 I. Intouction.Two istinct theoies of patents to justify the patent system ewa theoy

More information

HOW TO TEACH THE FUNDAMENTALS OF INFORMATION SCIENCE, CODING, DECODING AND NUMBER SYSTEMS?

HOW TO TEACH THE FUNDAMENTALS OF INFORMATION SCIENCE, CODING, DECODING AND NUMBER SYSTEMS? 6th INTERNATIONAL MULTIDISCIPLINARY CONFERENCE HOW TO TEACH THE FUNDAMENTALS OF INFORMATION SCIENCE, CODING, DECODING AND NUMBER SYSTEMS? Cecília Sitkuné Göömbei College of Nyíegyháza Hungay Abstact: The

More information

Financial Factors in Economic Fluctuations. Lawrence Christiano Roberto Motto Massimo Rostagno

Financial Factors in Economic Fluctuations. Lawrence Christiano Roberto Motto Massimo Rostagno Financial Factors in Economic Fluctuations Lawrence Christiano Roberto Motto Massimo Rostagno Background Much progress made on constructing and estimating models that fit quarterly data well (Smets-Wouters,

More information

AP-C WEP. h. Students should be able to recognize and solve problems that call for application both of conservation of energy and Newton s Laws.

AP-C WEP. h. Students should be able to recognize and solve problems that call for application both of conservation of energy and Newton s Laws. AP-C WEP 1. Wok a. Calculate the wok done by a specified constant foce on an object that undegoes a specified displacement. b. Relate the wok done by a foce to the aea unde a gaph of foce as a function

More information

15.081J/6.251J Introduction to Mathematical Programming. Lecture 6: The Simplex Method II

15.081J/6.251J Introduction to Mathematical Programming. Lecture 6: The Simplex Method II 15081J/6251J Intoduction to Mathematical Pogamming ectue 6: The Simplex Method II 1 Outline Revised Simplex method Slide 1 The full tableau implementation Anticycling 2 Revised Simplex Initial data: A,

More information

Classification and Ordering of Portfolios and of New Insured Unities of Risks

Classification and Ordering of Portfolios and of New Insured Unities of Risks Classification and Odeing of Potfolios and of New Insued Unities of Risks Augusto Feddi, Giulia Sagenti Univesity of Rome La Sapienza Depatment of Actuaial and Financial Sciences 36th Intenational ASTIN

More information

Anyone who can contemplate quantum mechanics without getting dizzy hasn t understood it. --Niels Bohr. Lecture 17, p 1

Anyone who can contemplate quantum mechanics without getting dizzy hasn t understood it. --Niels Bohr. Lecture 17, p 1 Anyone who can contemplate quantum mechanics without getting dizzy hasn t undestood it. --Niels Boh Lectue 17, p 1 Special (Optional) Lectue Quantum Infomation One of the most moden applications of QM

More information

Failure Probability of 2-within-Consecutive-(2, 2)-out-of-(n, m): F System for Special Values of m

Failure Probability of 2-within-Consecutive-(2, 2)-out-of-(n, m): F System for Special Values of m Jounal of Mathematics and Statistics 5 (): 0-4, 009 ISSN 549-3644 009 Science Publications Failue Pobability of -within-consecutive-(, )-out-of-(n, m): F System fo Special Values of m E.M.E.. Sayed Depatment

More information

Solutions to Problem Set 8

Solutions to Problem Set 8 Massachusetts Institute of Technology 6.042J/18.062J, Fall 05: Mathematics fo Compute Science Novembe 21 Pof. Albet R. Meye and Pof. Ronitt Rubinfeld evised Novembe 27, 2005, 858 minutes Solutions to Poblem

More information

ALL INDIA TEST SERIES

ALL INDIA TEST SERIES Fom Classoom/Integated School Pogams 7 in Top 0, in Top 00, 54 in Top 00, 06 in Top 500 All India Ranks & 4 Students fom Classoom /Integated School Pogams & 7 Students fom All Pogams have been Awaded a

More information

Current, Resistance and

Current, Resistance and Cuent, Resistance and Electomotive Foce Chapte 25 Octobe 2, 2012 Octobe 2, 2012 Physics 208 1 Leaning Goals The meaning of electic cuent, and how chages move in a conducto. What is meant by esistivity

More information

FALL 2006 EXAM C SOLUTIONS

FALL 2006 EXAM C SOLUTIONS FALL 006 EXAM C SOLUTIONS Question # Key: E With n + = 6, we need the 0.3(6) = 4.8 and 0.65(6) = 0.4 smallest obsevations. They ae 0.(80) + 0.8(350) = 336 and 0.6(450) + 0.4(490) = 466. The equations to

More information

Chapter 4. Newton s Laws of Motion

Chapter 4. Newton s Laws of Motion Chapte 4 Newton s Laws of Motion 4.1 Foces and Inteactions A foce is a push o a pull. It is that which causes an object to acceleate. The unit of foce in the metic system is the Newton. Foce is a vecto

More information

0606 ADDITIONAL MATHEMATICS 0606/01 Paper 1, maximum raw mark 80

0606 ADDITIONAL MATHEMATICS 0606/01 Paper 1, maximum raw mark 80 UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS Intenational Geneal Cetificate of Seconday Education MARK SCHEME fo the Octobe/Novembe 009 question pape fo the guidance of teaches 0606 ADDITIONAL MATHEMATICS

More information

Multiple Experts with Binary Features

Multiple Experts with Binary Features Multiple Expets with Binay Featues Ye Jin & Lingen Zhang Decembe 9, 2010 1 Intoduction Ou intuition fo the poect comes fom the pape Supevised Leaning fom Multiple Expets: Whom to tust when eveyone lies

More information

News-Shock Subroutine for Prof. Uhlig s Toolkit

News-Shock Subroutine for Prof. Uhlig s Toolkit News-Shock Subroutine for Prof. Uhlig s Toolkit KENGO NUTAHARA Graduate School of Economics, University of Tokyo, and the JSPS Research Fellow ee67003@mail.ecc.u-tokyo.ac.jp Revised: October 23, 2007 (Fisrt

More information

x x2 2 B A ) v(0, t) = 0 and v(l, t) = 0. L 2. This is a familiar heat equation initial/boundary-value problem and has solution

x x2 2 B A ) v(0, t) = 0 and v(l, t) = 0. L 2. This is a familiar heat equation initial/boundary-value problem and has solution Hints to homewok 7 8.2.d. The poblem is u t ku xx + k ux fx u t A u t B. It has a souce tem and inhomogeneous bounday conditions but none of them depend on t. So as in example 3 of the notes we should

More information

ODE Math 3331 (Summer 2014) June 16, 2014

ODE Math 3331 (Summer 2014) June 16, 2014 Page 1 of 12 Please go to the next page... Sample Midterm 1 ODE Math 3331 (Summer 2014) June 16, 2014 50 points 1. Find the solution of the following initial-value problem 1. Solution (S.O.V) dt = ty2,

More information

Physics Tutorial V1 2D Vectors

Physics Tutorial V1 2D Vectors Physics Tutoial V1 2D Vectos 1 Resolving Vectos & Addition of Vectos A vecto quantity has both magnitude and diection. Thee ae two ways commonly used to mathematically descibe a vecto. y (a) The pola fom:,

More information

Section 11. Timescales Radiation transport in stars

Section 11. Timescales Radiation transport in stars Section 11 Timescales 11.1 Radiation tanspot in stas Deep inside stas the adiation eld is vey close to black body. Fo a black-body distibution the photon numbe density at tempeatue T is given by n = 2

More information

The Laws of Motion ( ) N SOLUTIONS TO PROBLEMS ! F = ( 6.00) 2 + ( 15.0) 2 N = 16.2 N. Section 4.4. Newton s Second Law The Particle Under a Net Force

The Laws of Motion ( ) N SOLUTIONS TO PROBLEMS ! F = ( 6.00) 2 + ( 15.0) 2 N = 16.2 N. Section 4.4. Newton s Second Law The Particle Under a Net Force SOLUTIONS TO PROBLEMS The Laws of Motion Section 4.3 Mass P4. Since the ca is moving with constant speed and in a staight line, the esultant foce on it must be zeo egadless of whethe it is moving (a) towad

More information

Supporting information

Supporting information Electonic Supplementay Mateial (ESI) fo Physical Chemisty Chemical Physics. This jounal is the Owne Societies 18 Suppoting infomation Nonstoichiometic oxides as a continuous homologous seies: linea fee-enegy

More information

Analysis of Arithmetic. Analysis of Arithmetic. Analysis of Arithmetic Round-Off Errors. Analysis of Arithmetic. Analysis of Arithmetic

Analysis of Arithmetic. Analysis of Arithmetic. Analysis of Arithmetic Round-Off Errors. Analysis of Arithmetic. Analysis of Arithmetic In the fixed-oint imlementation of a digital filte only the esult of the multilication oeation is quantied The eesentation of a actical multilie with the quantie at its outut is shown below u v Q ^v The

More information

Lecture 3, November 30: The Basic New Keynesian Model (Galí, Chapter 3)

Lecture 3, November 30: The Basic New Keynesian Model (Galí, Chapter 3) MakØk3, Fall 2 (blok 2) Business cycles and monetary stabilization policies Henrik Jensen Department of Economics University of Copenhagen Lecture 3, November 3: The Basic New Keynesian Model (Galí, Chapter

More information

To Feel a Force Chapter 7 Static equilibrium - torque and friction

To Feel a Force Chapter 7 Static equilibrium - torque and friction To eel a oce Chapte 7 Chapte 7: Static fiction, toque and static equilibium A. Review of foce vectos Between the eath and a small mass, gavitational foces of equal magnitude and opposite diection act on

More information

Math 151. Rumbos Spring Solutions to Assignment #7

Math 151. Rumbos Spring Solutions to Assignment #7 Math. Rumbos Sping 202 Solutions to Assignment #7. Fo each of the following, find the value of the constant c fo which the given function, p(x, is the pobability mass function (pmf of some discete andom

More information

Version 1.0. General Certificate of Education (A-level) June Mathematics MM04. (Specification 6360) Mechanics 4. Final.

Version 1.0. General Certificate of Education (A-level) June Mathematics MM04. (Specification 6360) Mechanics 4. Final. Vesion 1.0 Geneal Cetificate of Education (A-level) June 011 Mathematics MM04 (Specification 660) Mechanics 4 Final Mak Scheme Mak schemes ae pepaed by the Pincipal Examine and consideed, togethe with

More information

Magnetic Fields Due to Currents

Magnetic Fields Due to Currents PH -C Fall 1 Magnetic Fields Due to Cuents Lectue 14 Chapte 9 (Halliday/esnick/Walke, Fundamentals of Physics 8 th edition) 1 Chapte 9 Magnetic Fields Due to Cuents In this chapte we will exploe the elationship

More information

Physics 11 Chapter 20: Electric Fields and Forces

Physics 11 Chapter 20: Electric Fields and Forces Physics Chapte 0: Electic Fields and Foces Yesteday is not ous to ecove, but tomoow is ous to win o lose. Lyndon B. Johnson When I am anxious it is because I am living in the futue. When I am depessed

More information

Electrostatics. 1. Show does the force between two point charges change if the dielectric constant of the medium in which they are kept increase?

Electrostatics. 1. Show does the force between two point charges change if the dielectric constant of the medium in which they are kept increase? Electostatics 1. Show does the foce between two point chages change if the dielectic constant of the medium in which they ae kept incease? 2. A chaged od P attacts od R whee as P epels anothe chaged od

More information

Uniform Circular Motion

Uniform Circular Motion Unifom Cicula Motion Intoduction Ealie we defined acceleation as being the change in velocity with time: a = v t Until now we have only talked about changes in the magnitude of the acceleation: the speeding

More information

15 Solving the Laplace equation by Fourier method

15 Solving the Laplace equation by Fourier method 5 Solving the Laplace equation by Fouie method I aleady intoduced two o thee dimensional heat equation, when I deived it, ecall that it taes the fom u t = α 2 u + F, (5.) whee u: [0, ) D R, D R is the

More information

Solutions to the problems in Introduction to Dynamic Macroeconomic Theory

Solutions to the problems in Introduction to Dynamic Macroeconomic Theory Solutions to the problems in Introduction to Dynamic Macroeconomic Theory July 0, 008 EXERCISES. C(t) N + ( )N N for all t > therefore, it is feasible.. C(t) N(t) + N(t )n( ) N(t) + N(t)( ) N(t) for all

More information

AP Physics C: Electricity and Magnetism 2001 Scoring Guidelines

AP Physics C: Electricity and Magnetism 2001 Scoring Guidelines AP Physics C: Electicity and Magnetism 1 Scoing Guidelines The mateials included in these files ae intended fo non-commecial use by AP teaches fo couse and exam pepaation; pemission fo any othe use must

More information

1 Explicit Explore or Exploit (E 3 ) Algorithm

1 Explicit Explore or Exploit (E 3 ) Algorithm 2.997 Decision-Making in Lage-Scale Systems Mach 3 MIT, Sping 2004 Handout #2 Lectue Note 9 Explicit Exploe o Exploit (E 3 ) Algoithm Last lectue, we studied the Q-leaning algoithm: [ ] Q t+ (x t, a t

More information

Physics 111 Lecture 12. SJ 8th Ed.: Chap Static Equilibrium. Overview - Equilibrium Defined. Static Equilibrium Examples

Physics 111 Lecture 12. SJ 8th Ed.: Chap Static Equilibrium. Overview - Equilibrium Defined. Static Equilibrium Examples Physics 111 ectue 1 Static Equilibium SJ 8th Ed.: Chap 1.1 1.3 Oveview - Equilibium Defined Conditions fo Equilibium Cente of Gavity Defined inding it When do mass cente and CG not coincide? Static Equilibium

More information

Lecture 5. Torsion. Module 1. Deformation Pattern in Pure Torsion In Circular Cylinder. IDeALab. Prof. Y.Y.KIM. Solid Mechanics

Lecture 5. Torsion. Module 1. Deformation Pattern in Pure Torsion In Circular Cylinder. IDeALab. Prof. Y.Y.KIM. Solid Mechanics Lectue 5. Tosion Module 1. Defomation Patten in Pue Tosion In Cicula Cylinde Defomation Patten Shafts unde tosion ae eveywhee. Candall, An Intoduction to the Mechanics of solid, Mc Gaw-Hill, 1999 1 Defomation

More information

Chapter 5 Linear Equations: Basic Theory and Practice

Chapter 5 Linear Equations: Basic Theory and Practice Chapte 5 inea Equations: Basic Theoy and actice In this chapte and the next, we ae inteested in the linea algebaic equation AX = b, (5-1) whee A is an m n matix, X is an n 1 vecto to be solved fo, and

More information

r cos, and y r sin with the origin of coordinate system located at

r cos, and y r sin with the origin of coordinate system located at Lectue 3-3 Kinematics of Rotation Duing ou peious lectues we hae consideed diffeent examples of motion in one and seeal dimensions. But in each case the moing object was consideed as a paticle-like object,

More information

Quantum Fourier Transform

Quantum Fourier Transform Chapte 5 Quantum Fouie Tansfom Many poblems in physics and mathematics ae solved by tansfoming a poblem into some othe poblem with a known solution. Some notable examples ae Laplace tansfom, Legende tansfom,

More information

Particle Systems. University of Texas at Austin CS384G - Computer Graphics Fall 2010 Don Fussell

Particle Systems. University of Texas at Austin CS384G - Computer Graphics Fall 2010 Don Fussell Paticle Systems Univesity of Texas at Austin CS384G - Compute Gaphics Fall 2010 Don Fussell Reading Requied: Witkin, Paticle System Dynamics, SIGGRAPH 97 couse notes on Physically Based Modeling. Witkin

More information

LET a random variable x follows the two - parameter

LET a random variable x follows the two - parameter INTERNATIONAL JOURNAL OF MATHEMATICS AND SCIENTIFIC COMPUTING ISSN: 2231-5330, VOL. 5, NO. 1, 2015 19 Shinkage Bayesian Appoach in Item - Failue Gamma Data In Pesence of Pio Point Guess Value Gyan Pakash

More information

, the tangent line is an approximation of the curve (and easier to deal with than the curve).

, the tangent line is an approximation of the curve (and easier to deal with than the curve). 114 Tangent Planes and Linea Appoimations Back in-dimensions, what was the equation of the tangent line of f ( ) at point (, ) f ( )? (, ) ( )( ) = f Linea Appoimation (Tangent Line Appoimation) of f at

More information

Look over Chapter 22 sections 1-8 Examples 2, 4, 5, Look over Chapter 16 sections 7-9 examples 6, 7, 8, 9. Things To Know 1/22/2008 PHYS 2212

Look over Chapter 22 sections 1-8 Examples 2, 4, 5, Look over Chapter 16 sections 7-9 examples 6, 7, 8, 9. Things To Know 1/22/2008 PHYS 2212 PHYS 1 Look ove Chapte sections 1-8 xamples, 4, 5, PHYS 111 Look ove Chapte 16 sections 7-9 examples 6, 7, 8, 9 Things To Know 1) What is an lectic field. ) How to calculate the electic field fo a point

More information

Pascal s Triangle (mod 8)

Pascal s Triangle (mod 8) Euop. J. Combinatoics (998) 9, 45 62 Pascal s Tiangle (mod 8) JAMES G. HUARD, BLAIR K. SPEARMAN AND KENNETH S. WILLIAMS Lucas theoem gives a conguence fo a binomial coefficient modulo a pime. Davis and

More information