EconS 501 Micro Theory I 1 Recitation #12 Imperfect Competition

Size: px
Start display at page:

Download "EconS 501 Micro Theory I 1 Recitation #12 Imperfect Competition"

Transcription

1 EconS 50 Mcro Theory I Rectaton # Iperfect Copetton Exercse 5.3 (NS). [ON YOUR OWN] Ths exercse analyzes Cournot copetton when frs have dfferent argnal costs. Ths departure fro dentcal frs allows the student to shft around fr s best-responses ndependently on a dagra. Let c be the constant argnal and average cost for fr (so that frs ay have dfferent argnal costs). Suppose deand s gven by P Q. a. Calculate the Nash equlbru quanttes assung there are two frs n a Cournot arket. Also copute arket output, arket prce, fr profts, ndustry profts, consuer surplus, and total welfare. ANSWER: Let us fnd the output level that fr selects when axzng ts profts n ths Cournot duopoly ax q ( q q ) cq q :qq c q q c q best response for consuer Lkewse qc q best response for consuer Solvng sultaneously for q and q, whch yelds an output for fr of q c c q 4q q c c c c c q 3 Felx Munoz-Garca, School of Econocs Scences, Washngton State Unversty, Pullan, WA, Eal: funoz@wsu.edu.

2 c c c And slarly, an output for fr of q. 3 Further, aggregate output s c c c c c c c ( c c ) Q q q 3 3 3, whch ples that equlbru prce s and that fr s profts are and those of fr are As a consequence, aggregate profts are and consuer surplus s ( c ) P c c c 3 Q, ( c c ) c 9 qp cq, ( c c ) c 9 qp cq, ( c c ) ( c ) c c c c 9 ( c ) CS c c Q p 8 ( ), and aggregate welfare s thus the su of aggregate profts and consuer surplus, c c c W CS. b. Represent the Nash equlbru on a best-response functon dagra. Show how a reducton n fr s cost would change the equlbru. Draw a representatve soproft for fr. ANSWER: Pont E n followng fgure represents the Nash equlbru. The curved lne represents fr s soproft.

3 q BR (q ) E E BR (q ) q The reducton n fr s argnal cost shfts ts best response outwards ( q c q ) and shfts the equlbru fro E to E. Fr wll produce ore for any gven q. Exercse 5.7 (NS). Ths exercse analyzes the Stackelberg gae both wth and wthout the possblty of entry-deterrng nvestent. Assue as n Proble 5. of NS that two frs wth no producton costs, facng a drect deand functon Q 50 P, choose quanttes q and q. [In Proble 5., frs were assued to copete a la Cournot, sultaneously selectng quanttes. In that context, you can easly show that every fr s best response functon s q 75 q j.] a. Copute the subgae-perfect equlbru of the Stackelberg verson of the gae n whch fr chooses q frst and then fr chooses q. ANSWER: We solve the gae usng backward nducton startng wth fr s acton. Fr oves second and best responds to fr s choce. We saw q fro Proble 5. (b) that fr s best-response functon s q 75. We substtute ths back nto fr s proft functon so that fr s akng ts optal choce gven what t expects fr to do 3

4 q q[50 ( qq)] q50 q75 :50q75 q. q q 75 Takng the frst-order condton wth respect to q and solvng yelds q 75. Substtutng ths back nto fr s best-response functon yelds q q b. Now add an entry stage after fr chooses q. In ths stage, fr decdes whether or not to enter. If t enters t ust snk cost K, after whch t s allowed to choose q. Copute the threshold value of K above whch fr prefers to deter fr s entry. ANSWER: If fr accoodates s entry, the outcoe n part (a) arses. P=50 Q. P = There are no producton costs, thus proft for fr = PQ=37.575=,8.5. When fr produces q f fr best responds to q, and enters t wll generate proft p qk (50 q) / 4 K. In order to deter entry ths proft ust be less than or equal to 0. Settng fr s proft functon equal to zero (50 q ) K 4 q 50 K 0 The threshold value of q 50 K. Fr s proft fro operatng alone n the arket and producng ths output s QP= ( 50 K )( K ), whch exceeds,8.5, the proft n part (a), f K 0.6. (as can be shown by graphng both sdes of the nequalty) Exercse 5.9 (NS). Ths exercse exanes the Herfndahl ndex of arket concentraton. Many econosts subscrbe to the conventonal wsdo that ncreases n 4

5 concentraton are bad for socal welfare. Ths proble leads students through a seres of calculatons showng that that the relatonshp between welfare and concentraton s not ths straghtforward. One way of easurng arket concentraton s through the use of the Herfndahl ndex, whch s defned as: n H s where s q Q Where s s fr s arket share. The hgher s H, the ore concentrated the ndustry s sad to be. Intutvely, ore concentrated arkets are thought to be less copettve because donant frs n concentrated arkets face lttle copettve pressure. We wll assess the valdty of ths ntuton usng several odels. a. Recall fro class the equlbru output levels n the n-fr Cournot gae. If you don t reeber t, don t worry, here t s agan for you to practce. Fnd equlbru output level for every fr, the resultng aggregate output, and the arket prce. In addton, evaluate consuer surplus, ndustry proft, and total welfare n ths equlbru. Once you are done, copute the Herfndahl ndex for ths equlbru. ANSWER: Fr s proft s q ( a bq bq c) wth assocated frst-order condton a b bq c 0. Ths s the sae for every n fr so we ay pose syetry [ Q ( n ) q ]. Pluggng n the syetry condton n the above frst-order condton, yelds a bb( n) q c0 ( a c) q ( n) b Further, aggregate output s na ( c) Q, ( n) b Thus plyng that equlbru prce s ( a nc) P, ( n ) And that aggregate (ndustry) profts are n ( a c) n b ( n), where ndvdual profts are just /n share of aggregate profts snce frs are syetrc. As a consequence, consuer surplus s 5

6 CS b ( n) n ( a c) whle overall socal welfare (.e., the su of aggregate profts plus consuer surplus) s n ( a c) W ( n) b. Because frs are syetrc, s / n, thus we can solve for the Herfndahl ndex H n( ). n n b. Suppose two of the n frs erge, leavng the arket wth n- frs. Recalculate the Nash equlbru and the rest of the tes requested n part (a). How does the erger affect prce, output, proft, and total welfare. Copute the Herfndahl ndex for ths equlbru. ANSWER: We can obtan a rough dea of the effect of erger by seeng how the varables n part (a) change wth a reducton n n. Per-fr output, prce, ndustry proft, and the Herfndahl ndex ncrease wth a reducton n n, caused by the erger. Total output, consuer surplus, and welfare decrease wth a reducton n n, caused by the erger. c. Put the odel used n parts (a) and (b) asde and turn to a dfferent setup: that of Proble 5.3, where Cournot duopolsts face dfferent argnal costs. Use your answer to Proble 5.3(a) to copute equlbru fr outputs, arket output, prce, consuer surplus, ndustry proft, and total welfare, substtutng the partcular cost paraeters c c. Also copute the Herfndahl ndex. 4 ANSWER: Substtutng c c / 4 nto the answers for 5.3, we have q / 4, Q /, P /, / 8, CS / 8, and W / 4. Also, H /. d. Repeat your calculatons n part (c) whle assung that fr s argnal cost c falls to 0 but c stays at 4. How does the erger affect prce, output, proft, consuer surplus, total welfare, and the Herfndahl ndex. ANSWER: Substtutng c 0 and c / 4 nto the answers for 5.3, we have q 5 /, q /, Q 7 /, P 5/, 9 / 44, CS 49 / 88, and W 07 / 88. Also, H 9/ 49. 6

7 e. Gven your results fro parts (a)-(d), can we draw any general conclusons about the relatonshp between arket concentraton on the one hand and prce, proft, or total welfare on the other? ANSWER: Coparng part (a) wth (b) suggests that ncreases n the Herfndahl ndex are assocated wth lower welfare. The opposte s evdenced n the coparson of part (c) to (d): welfare and the Herfndahl ncrease together. General conclusons are thus hard to reach. Exercse 5.0 (NS). [ON YOUR OWN] Ths exercse extends the Inverse Elastcty Prcng Rule (IEPR) fro a arket structure wth only one fr (onopoly) to arket structures wth ore than one fr. It derves an alternatves for of the IEPR we know under onopoly that we can apply nto a Cournot odel of quantty copetton. a. Use the frst-order condton (Equaton 5.) for a Cournot fr to show that the usual nverse elastcty rule for Chapter holds under Cournot copetton (where the elastcty s assocated wth an ndvdual fr s resdual deand, the deand left after all rvals sell ther output on the arket). Manpulate Equaton 5. n a dfferent way to obtan an equvalent verson of the nverse elastcty rule: P MC s q where s P e Q QP, where s s fr s arket share and e QP, s the elastcty of arket deand. Copare ths verson of the nverse elastcty rule to that for a onopolst fro the prevous chapter. ANSWER: Equaton 5. can be rearranged as follows: Equaton 5. PQ ( ) P( Qq ) C ( q) 0 q P C Pq, P P P C P ' q dp / dqq P P P where q, P s the elastcty of deand wth respect to fr s output. The second equalty uses the fact that P dp / dq dp / dq. Multplyng nuerator and denonator by Q, we can also rearrange Equaton 5. as q, P 7

8 P C P' q dp / dqq dp / dq Q q s P P P P Q QP, MWG.C.0. Consder a J-fr Cournot odel n whch frs costs dffer. Let cj( qj) jc ( qj) denote fr j s cost functon, and assue that c () s strctly ncreasng and convex. Assue that... j. (a) Show that f ore than one fr s akng postve sales n a Nash equlbru of ths odel, then we cannot have productve effcency; that s, the equlbru aggregate output Q s produced neffcently. ANSWER: Each fr chooses ts output q 0 to axze ts profts pq ( q) q cq ( ) Takng frst-order condtons wth respect to q, and assung an nteror soluton, yelds p(q)+p (Q)q =α cq ( ) The left-hand sde represents the argnal revenue that, for a gven Q - output produced by all other frs, fr obtans when t ncreases ts ndvdual producton q. Snce p (Q)<0, the argnal revenue les below the deand curve p(q); as llustrated n the fgure below. The rght-hand sde, n contrast, represents the argnal cost of fr, whch graphcally s ncreasng n q gven convexty n costs. You can vsually notce that a gven ncrease n α, for nstance f fr j has α j >α then the argnal cost curve shfts upwards, thus crossng the argnal revenue of fr j to the left-hand sde,.e., q j <q. 8

9 Iagne the case where fr dffers fro fr j we ay calculate the dfference n argnal cost between the two frs as jc ( qj) c ( q) Fro our frst-order condtons we know that after cancelng out the p( Q) ters ths s equvalent to p( Q)( q qj) Iagne the partcular case where j so that also q qj. Because p ( Q) < 0 the ter p( Q)( q qj) s postve. Ths ples that jc ( qj) c ( q). Thus the argnal cost for fr j s greater n ths case, plyng that argnal costs across frs are not necessarly equalzed. Lkewse aggregate output s not necessarly produced effcently. Indeed, for aggregate output Q to be effcent, we would need that the su of argnal costs concdes wth the argnal revenue curve descrbed above. In the settng n whch frs ndependently choose ther output levels, every fr s output s ncreased untl the pont n whch the argnal revenue s equal to fr s argnal costs. If frs argnal costs were constant and syetrc, then ther aggregate output would be effcent. However, gven that frs argnal costs are ncreasng (convexty), aggregate output s not necessarly effcent. (b) If so, what s the correct easure of welfare loss relatve to a fully effcent (copettve) outcoe? [Hnt: Reconsder the dscusson n Secton 0.E] ANSWER: The correct easure of welfare loss relatve to a fully effcent outcoe n ths case s equal to the loss of consuer surplus due to noncopettve prcng plus the hgher producton cost due to productve neffcency. (c) Provde an exaple n whch welfare decreases when a fr becoes ore productve (.e., when j falls for soe j). [Hnt: Consder an proveent n cost for fr n the odel of Exercse.C.9.] Why can ths happen? ANSWER: Let s use our results fro Exercse.C.9 n order to provde an exaple n whch welfare decreases when a fr becoes ore productve. Fro.C.9 the Cournot equlbru output and prce levels are a c c q 3b a c c q 3b acc p 3 Total profts of the two frs can now be coputed as ( p c ) q ( pc ) q (a 5c 5c a( c c ) 8 cc )/9b Consuer surplus can be coputed as 9

10 q q q q 0 p( qdq ) ( aqbq / ) ( acc)(5 acc) /8b 0 Addng up total profts and consuer surplus, and dfferentatng wth respect to c, we obtan Surplus 9c 9c 4a c 9b 4 Ths dervatve s postve when c c ( 9) a. Ths wll occur when fr s costs are uch greater than fr s costs. In ths case a decrease n c reduces socal welfare. The reason s that when c slghtly falls, fr steals ore busness fro fr, whch rases producton neffcency. When c s substantally larger than c, ths effect actually donates the ncrease n consuer surplus due to a lower prce. MWG.C.. Consder two strctly concave and dfferentable proft functons ( q, q ),, j {,}, defned on q [0, q]. j j j (a) Gve suffcent condtons for the best-response functons bj( q j) to be ncreasng or decreasng. ANSWER: Assue that ( q, qj) 0 for,. Where the subscrpt eans dfferentate twce wth respect to the frst eleent. Every fr wll axze proft by fndng ts best response functon b (q j ). We can evaluate the sgn of fr s best response functon (to check f t ncreases or decreases wth ts rval s output q j ) by applyng the plct functon theore, as follows b( qj) ( b( qj), qj) : qj qj ( b( qj), qj) Therefore, snce the nuerator satsfes ( q, qj) 0 for, by defnton, b( qj) the sgn of s the sae as the sgn of q ( b ( ), ) qj qj. In other words, fr j s best-response functon s ncreasng (decreasng) when the cross-dervatve s postve (negatve, respectvely). (b) Specalze to the Cournot odel. Argue that a decreasng (downward-slopng) best-response functon s the noral case. ANSWER: In the Cournot odel 0

11 ( q, q ) p( q q ) q c( q ) j j Then dfferentatng further wth respect to q j (, ) ( ) ( ) q q p q q q p q q j j j whch s negatve f p() s downward slopng and not to convex. Ths sees lkely for the nverse deand functon, thus the noral slope of the best response functons n the Cournot odel s negatve. MWG.D.. Consder an nfntely repeated Bertrand duopoly wth dscount factor. Deterne the condtons under whch strateges of the for n (.D.) sustan the onopoly prce n each of the followng cases: Fro page 40 (.D. n MWG): p f all eleents of Ht equal ( p, p ) or t Pjt ( Ht ) c otherwse (a) Market deand n perod t s x ( ) t t p x( p) where 0 s the rate of growth of deand across perods. ANSWER: Monopoly proft n perod t s ax x( p)( pc) ax x( p)( pc) p t t t If a fr devates at perod t, t can obtan n that perod, and t wll get zero forever after. If t does not devate, ts payoff s t ( ) t0 ( ) Monopoly prce can be sustaned when devaton fro the strategy s not proftable. Devaton s not proftable f and only f or ( ) p Hence, the nal dscount factor supportng cooperaton decreases n the rate of growth of deand,.e., cooperaton can be sustaned under a larger set of dscount factors as deand grows faster across perods. [See fgure below].

12 (b) At the end of each perod, the arket contnues to exst wth probablty [0,]. ANSWER: If a fr devates, t can obtan n that perod, and t wll get zero forever after. If t does not devate, ts payoff s t0 t ( ) ( ) Therefore, devaton s not proftable f and only f or ( ) Thus, cooperaton cannot be sustaned under any dscount factor (between zero and one) when the probablty that deand contnues exstng s relatvely low, but can be sustaned when the probablty that deand contnues exstng s suffcently hgh (and decreases as ths probablty gets closer to 00%). [See fgure, where and are both saller than.]

13 (c) It takes K perods to detect and respond to a devaton fro the collusve agreeent. ANSWER: If a fr devates, t can obtan K K t ( ) t0 ( ) In the next K perods, and t wll get zero forever after. If t does not devate, ts payoff s t t0 ( ) Therefore, devaton s not proftable f and only f K ( ) or ( ) ( ) Hence, the ore perods of te K that a cheatng fr reans undetected by ts colludng partners, the ore attractve cheatng becoes. Cooperaton therefore can only be sustaned under ore restrctve sets of paraeter values. [See fgure]. K 3

14 K 4

Problem Set #2 Solutions

Problem Set #2 Solutions 4.0 Sprng 003 Page Proble Set # Solutons Proble : a) A onopolst solves the followng proble: ( Q ) Q C ( )= 00Q Q 0Q ax P Q wth frst-order condton (FOC) b) Gven the results fro part a, Q 90 Q = 0 Q P =

More information

Chapter 3: Oligopoly

Chapter 3: Oligopoly Notes on Chapter 3: Olgopoly Mcroeconoc Theory IV 3º - LE-: 008-009 Iñak Agurre Departaento de Fundaentos del Análss Econóco I Unversdad del País Vasco Mcroeconoc Theory IV Olgopoly Introducton.. The Cournot

More information

3.2. Cournot Model Cournot Model

3.2. Cournot Model Cournot Model Matlde Machado Assumptons: All frms produce an homogenous product The market prce s therefore the result of the total supply (same prce for all frms) Frms decde smultaneously how much to produce Quantty

More information

Price competition with capacity constraints. Consumers are rationed at the low-price firm. But who are the rationed ones?

Price competition with capacity constraints. Consumers are rationed at the low-price firm. But who are the rationed ones? Prce competton wth capacty constrants Consumers are ratoned at the low-prce frm. But who are the ratoned ones? As before: two frms; homogeneous goods. Effcent ratonng If p < p and q < D(p ), then the resdual

More information

In the figure below, the point d indicates the location of the consumer that is under competition. Transportation costs are given by td.

In the figure below, the point d indicates the location of the consumer that is under competition. Transportation costs are given by td. UC Berkeley Economcs 11 Sprng 006 Prof. Joseph Farrell / GSI: Jenny Shanefelter Problem Set # - Suggested Solutons. 1.. In ths problem, we are extendng the usual Hotellng lne so that now t runs from [-a,

More information

Advanced Microeconomics (ES30025)

Advanced Microeconomics (ES30025) Advanced Mcroeconocs (ES3005) Topc Two: Olgopoly () Colluson Advanced Mcroeconocs (ES3005) Topc Two: Olgopoly () - Colluson Outlne:. Introducton. Isoproft Contours 3. Colluson 4. Olgopoly as a Repeated

More information

System in Weibull Distribution

System in Weibull Distribution Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co

More information

Optimal Marketing Strategies for a Customer Data Intermediary. Technical Appendix

Optimal Marketing Strategies for a Customer Data Intermediary. Technical Appendix Optal Marketng Strateges for a Custoer Data Interedary Techncal Appendx oseph Pancras Unversty of Connectcut School of Busness Marketng Departent 00 Hllsde Road, Unt 04 Storrs, CT 0669-04 oseph.pancras@busness.uconn.edu

More information

Online Appendix. t=1 (p t w)q t. Then the first order condition shows that

Online Appendix. t=1 (p t w)q t. Then the first order condition shows that Artcle forthcomng to ; manuscrpt no (Please, provde the manuscrpt number!) 1 Onlne Appendx Appendx E: Proofs Proof of Proposton 1 Frst we derve the equlbrum when the manufacturer does not vertcally ntegrate

More information

Preference and Demand Examples

Preference and Demand Examples Dvson of the Huantes and Socal Scences Preference and Deand Exaples KC Border October, 2002 Revsed Noveber 206 These notes show how to use the Lagrange Karush Kuhn Tucker ultpler theores to solve the proble

More information

Imperfect Competition

Imperfect Competition Iperfect Copetton ISBN: 978-84-69-4354- Iñak Agurre 07-09 Notes on Iperfect Copetton Iñak Agurre Departaento de Fundaentos del Análss Econóco I Unversdad del País Vasco Inde Chapter. Monopoly Introducton..

More information

On Pfaff s solution of the Pfaff problem

On Pfaff s solution of the Pfaff problem Zur Pfaff scen Lösung des Pfaff scen Probles Mat. Ann. 7 (880) 53-530. On Pfaff s soluton of te Pfaff proble By A. MAYER n Lepzg Translated by D. H. Delpenc Te way tat Pfaff adopted for te ntegraton of

More information

How Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists *

How Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists * How Strong Are Weak Patents? Joseph Farrell and Carl Shapro Supplementary Materal Lcensng Probablstc Patents to Cournot Olgopolsts * September 007 We study here the specal case n whch downstream competton

More information

1 Definition of Rademacher Complexity

1 Definition of Rademacher Complexity COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture #9 Scrbe: Josh Chen March 5, 2013 We ve spent the past few classes provng bounds on the generalzaton error of PAClearnng algorths for the

More information

COS 511: Theoretical Machine Learning

COS 511: Theoretical Machine Learning COS 5: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture #0 Scrbe: José Sões Ferrera March 06, 203 In the last lecture the concept of Radeacher coplexty was ntroduced, wth the goal of showng that

More information

What is LP? LP is an optimization technique that allocates limited resources among competing activities in the best possible manner.

What is LP? LP is an optimization technique that allocates limited resources among competing activities in the best possible manner. (C) 998 Gerald B Sheblé, all rghts reserved Lnear Prograng Introducton Contents I. What s LP? II. LP Theor III. The Splex Method IV. Refneents to the Splex Method What s LP? LP s an optzaton technque that

More information

Cournot Equilibrium with N firms

Cournot Equilibrium with N firms Recap Last class (September 8, Thursday) Examples of games wth contnuous acton sets Tragedy of the commons Duopoly models: ournot o class on Sept. 13 due to areer Far Today (September 15, Thursday) Duopoly

More information

XII.3 The EM (Expectation-Maximization) Algorithm

XII.3 The EM (Expectation-Maximization) Algorithm XII.3 The EM (Expectaton-Maxzaton) Algorth Toshnor Munaata 3/7/06 The EM algorth s a technque to deal wth varous types of ncoplete data or hdden varables. It can be appled to a wde range of learnng probles

More information

ACTM State Calculus Competition Saturday April 30, 2011

ACTM State Calculus Competition Saturday April 30, 2011 ACTM State Calculus Competton Saturday Aprl 30, 2011 ACTM State Calculus Competton Sprng 2011 Page 1 Instructons: For questons 1 through 25, mark the best answer choce on the answer sheet provde Afterward

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Hila Etzion. Min-Seok Pang

Hila Etzion. Min-Seok Pang RESERCH RTICLE COPLEENTRY ONLINE SERVICES IN COPETITIVE RKETS: INTINING PROFITILITY IN THE PRESENCE OF NETWORK EFFECTS Hla Etzon Department of Technology and Operatons, Stephen. Ross School of usness,

More information

Economics 101. Lecture 4 - Equilibrium and Efficiency

Economics 101. Lecture 4 - Equilibrium and Efficiency Economcs 0 Lecture 4 - Equlbrum and Effcency Intro As dscussed n the prevous lecture, we wll now move from an envronment where we looed at consumers mang decsons n solaton to analyzng economes full of

More information

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract Endogenous tmng n a mxed olgopoly consstng o a sngle publc rm and oregn compettors Yuanzhu Lu Chna Economcs and Management Academy, Central Unversty o Fnance and Economcs Abstract We nvestgate endogenous

More information

Assortment Optimization under MNL

Assortment Optimization under MNL Assortment Optmzaton under MNL Haotan Song Aprl 30, 2017 1 Introducton The assortment optmzaton problem ams to fnd the revenue-maxmzng assortment of products to offer when the prces of products are fxed.

More information

Excess Error, Approximation Error, and Estimation Error

Excess Error, Approximation Error, and Estimation Error E0 370 Statstcal Learnng Theory Lecture 10 Sep 15, 011 Excess Error, Approxaton Error, and Estaton Error Lecturer: Shvan Agarwal Scrbe: Shvan Agarwal 1 Introducton So far, we have consdered the fnte saple

More information

Market structure and Innovation

Market structure and Innovation Market structure and Innovaton Ths presentaton s based on the paper Market structure and Innovaton authored by Glenn C. Loury, publshed n The Quarterly Journal of Economcs, Vol. 93, No.3 ( Aug 1979) I.

More information

Fermi-Dirac statistics

Fermi-Dirac statistics UCC/Physcs/MK/EM/October 8, 205 Fer-Drac statstcs Fer-Drac dstrbuton Matter partcles that are eleentary ostly have a type of angular oentu called spn. hese partcles are known to have a agnetc oent whch

More information

1 Review From Last Time

1 Review From Last Time COS 5: Foundatons of Machne Learnng Rob Schapre Lecture #8 Scrbe: Monrul I Sharf Aprl 0, 2003 Revew Fro Last Te Last te, we were talkng about how to odel dstrbutons, and we had ths setup: Gven - exaples

More information

Pricing and Resource Allocation Game Theoretic Models

Pricing and Resource Allocation Game Theoretic Models Prcng and Resource Allocaton Game Theoretc Models Zhy Huang Changbn Lu Q Zhang Computer and Informaton Scence December 8, 2009 Z. Huang, C. Lu, and Q. Zhang (CIS) Game Theoretc Models December 8, 2009

More information

Computational and Statistical Learning theory Assignment 4

Computational and Statistical Learning theory Assignment 4 Coputatonal and Statstcal Learnng theory Assgnent 4 Due: March 2nd Eal solutons to : karthk at ttc dot edu Notatons/Defntons Recall the defnton of saple based Radeacher coplexty : [ ] R S F) := E ɛ {±}

More information

Quantity Precommitment and Cournot and Bertrand Models with Complementary Goods

Quantity Precommitment and Cournot and Bertrand Models with Complementary Goods Quantty Precommtment and Cournot and Bertrand Models wth Complementary Goods Kazuhro Ohnsh 1 Insttute for Basc Economc Scence, Osaka, Japan Abstract Ths paper nestgates Cournot and Bertrand duopoly models

More information

CS286r Assign One. Answer Key

CS286r Assign One. Answer Key CS286r Assgn One Answer Key 1 Game theory 1.1 1.1.1 Let off-equlbrum strateges also be that people contnue to play n Nash equlbrum. Devatng from any Nash equlbrum s a weakly domnated strategy. That s,

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

Our focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e.

Our focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e. SSTEM MODELLIN In order to solve a control syste proble, the descrptons of the syste and ts coponents ust be put nto a for sutable for analyss and evaluaton. The followng ethods can be used to odel physcal

More information

Welfare Analysis of Cournot and Bertrand Competition With(out) Investment in R & D

Welfare Analysis of Cournot and Bertrand Competition With(out) Investment in R & D MPRA Munch Personal RePEc Archve Welfare Analyss of Cournot and Bertrand Competton Wth(out) Investment n R & D Jean-Baptste Tondj Unversty of Ottawa 25 March 2016 Onlne at https://mpra.ub.un-muenchen.de/75806/

More information

On the number of regions in an m-dimensional space cut by n hyperplanes

On the number of regions in an m-dimensional space cut by n hyperplanes 6 On the nuber of regons n an -densonal space cut by n hyperplanes Chungwu Ho and Seth Zeran Abstract In ths note we provde a unfor approach for the nuber of bounded regons cut by n hyperplanes n general

More information

,..., k N. , k 2. ,..., k i. The derivative with respect to temperature T is calculated by using the chain rule: & ( (5) dj j dt = "J j. k i.

,..., k N. , k 2. ,..., k i. The derivative with respect to temperature T is calculated by using the chain rule: & ( (5) dj j dt = J j. k i. Suppleentary Materal Dervaton of Eq. 1a. Assue j s a functon of the rate constants for the N coponent reactons: j j (k 1,,..., k,..., k N ( The dervatve wth respect to teperature T s calculated by usng

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

Revision: December 13, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: December 13, E Main Suite D Pullman, WA (509) Voice and Fax .9.1: AC power analyss Reson: Deceber 13, 010 15 E Man Sute D Pullan, WA 99163 (509 334 6306 Voce and Fax Oerew n chapter.9.0, we ntroduced soe basc quanttes relate to delery of power usng snusodal sgnals.

More information

LK, represents the total amount of labor and capital available in the economy, P, P denote the prices

LK, represents the total amount of labor and capital available in the economy, P, P denote the prices Fall 1 Econ 455 Answers - Proble Set 3 Due Noveber 8, 1 Harvey Lapan 1. Consder a spled verson o the Heckscher-Ohln odel wth the ollowng technology: To produce ood: 1 unt o labor and 3 unts o captal are

More information

Xiangwen Li. March 8th and March 13th, 2001

Xiangwen Li. March 8th and March 13th, 2001 CS49I Approxaton Algorths The Vertex-Cover Proble Lecture Notes Xangwen L March 8th and March 3th, 00 Absolute Approxaton Gven an optzaton proble P, an algorth A s an approxaton algorth for P f, for an

More information

PROBLEM SET 7 GENERAL EQUILIBRIUM

PROBLEM SET 7 GENERAL EQUILIBRIUM PROBLEM SET 7 GENERAL EQUILIBRIUM Queston a Defnton: An Arrow-Debreu Compettve Equlbrum s a vector of prces {p t } and allocatons {c t, c 2 t } whch satsfes ( Gven {p t }, c t maxmzes βt ln c t subject

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

CHAPTER 6 CONSTRAINED OPTIMIZATION 1: K-T CONDITIONS

CHAPTER 6 CONSTRAINED OPTIMIZATION 1: K-T CONDITIONS Chapter 6: Constraned Optzaton CHAPER 6 CONSRAINED OPIMIZAION : K- CONDIIONS Introducton We now begn our dscusson of gradent-based constraned optzaton. Recall that n Chapter 3 we looked at gradent-based

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

A Cournot-Stackelberg Advertising Duopoly Derived From A Cobb-Douglas Utility Function

A Cournot-Stackelberg Advertising Duopoly Derived From A Cobb-Douglas Utility Function MDEF Workshop 01, Urbno, 0- September A Cournot-Stackelberg Advertsng Duopoly Derved From A Cobb-Douglas Utlty Functon Alna Ghrvu * and Tönu Puu** *Faculty of Economc Studes and Busness Admnstraton, Babeş-

More information

Supporting Information for: Two Monetary Models with Alternating Markets

Supporting Information for: Two Monetary Models with Alternating Markets Supportng Informaton for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty & Unversty of Basel YL Chen St. Lous Fed November 2015 1 Optmal choces n the CIA model On date t, gven

More information

Supporting Materials for: Two Monetary Models with Alternating Markets

Supporting Materials for: Two Monetary Models with Alternating Markets Supportng Materals for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty Unversty of Basel YL Chen Federal Reserve Bank of St. Lous 1 Optmal choces n the CIA model On date t,

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

Mixed Taxation and Production Efficiency

Mixed Taxation and Production Efficiency Floran Scheuer 2/23/2016 Mxed Taxaton and Producton Effcency 1 Overvew 1. Unform commodty taxaton under non-lnear ncome taxaton Atknson-Stgltz (JPubE 1976) Theorem Applcaton to captal taxaton 2. Unform

More information

,, MRTS is the marginal rate of technical substitution

,, MRTS is the marginal rate of technical substitution Mscellaneous Notes on roducton Economcs ompled by eter F Orazem September 9, 00 I Implcatons of conve soquants Two nput case, along an soquant 0 along an soquant Slope of the soquant,, MRTS s the margnal

More information

Least Squares Fitting of Data

Least Squares Fitting of Data Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2014. All Rghts Reserved. Created: July 15, 1999 Last Modfed: February 9, 2008 Contents 1 Lnear Fttng

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

Solutions for Homework #9

Solutions for Homework #9 Solutons for Hoewor #9 PROBEM. (P. 3 on page 379 n the note) Consder a sprng ounted rgd bar of total ass and length, to whch an addtonal ass s luped at the rghtost end. he syste has no dapng. Fnd the natural

More information

Applied Mathematics Letters

Applied Mathematics Letters Appled Matheatcs Letters 2 (2) 46 5 Contents lsts avalable at ScenceDrect Appled Matheatcs Letters journal hoepage: wwwelseverco/locate/al Calculaton of coeffcents of a cardnal B-splne Gradr V Mlovanovć

More information

PHYS 1443 Section 002 Lecture #20

PHYS 1443 Section 002 Lecture #20 PHYS 1443 Secton 002 Lecture #20 Dr. Jae Condtons for Equlbru & Mechancal Equlbru How to Solve Equlbru Probles? A ew Exaples of Mechancal Equlbru Elastc Propertes of Solds Densty and Specfc Gravty lud

More information

Additional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty

Additional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty Addtonal Codes usng Fnte Dfference Method Benamn Moll 1 HJB Equaton for Consumpton-Savng Problem Wthout Uncertanty Before consderng the case wth stochastc ncome n http://www.prnceton.edu/~moll/ HACTproect/HACT_Numercal_Appendx.pdf,

More information

Chapter Newton s Method

Chapter Newton s Method Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve

More information

CHAPTER 7 CONSTRAINED OPTIMIZATION 1: THE KARUSH-KUHN-TUCKER CONDITIONS

CHAPTER 7 CONSTRAINED OPTIMIZATION 1: THE KARUSH-KUHN-TUCKER CONDITIONS CHAPER 7 CONSRAINED OPIMIZAION : HE KARUSH-KUHN-UCKER CONDIIONS 7. Introducton We now begn our dscusson of gradent-based constraned optzaton. Recall that n Chapter 3 we looked at gradent-based unconstraned

More information

CHAPTER 10 ROTATIONAL MOTION

CHAPTER 10 ROTATIONAL MOTION CHAPTER 0 ROTATONAL MOTON 0. ANGULAR VELOCTY Consder argd body rotates about a fxed axs through pont O n x-y plane as shown. Any partcle at pont P n ths rgd body rotates n a crcle of radus r about O. The

More information

The Geometry of Logit and Probit

The Geometry of Logit and Probit The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.

More information

k t+1 + c t A t k t, t=0

k t+1 + c t A t k t, t=0 Macro II (UC3M, MA/PhD Econ) Professor: Matthas Kredler Fnal Exam 6 May 208 You have 50 mnutes to complete the exam There are 80 ponts n total The exam has 4 pages If somethng n the queston s unclear,

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens THE CHINESE REMAINDER THEOREM KEITH CONRAD We should thank the Chnese for ther wonderful remander theorem. Glenn Stevens 1. Introducton The Chnese remander theorem says we can unquely solve any par of

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

Multipoint Analysis for Sibling Pairs. Biostatistics 666 Lecture 18

Multipoint Analysis for Sibling Pairs. Biostatistics 666 Lecture 18 Multpont Analyss for Sblng ars Bostatstcs 666 Lecture 8 revously Lnkage analyss wth pars of ndvduals Non-paraetrc BS Methods Maxu Lkelhood BD Based Method ossble Trangle Constrant AS Methods Covered So

More information

arxiv: v2 [math.co] 3 Sep 2017

arxiv: v2 [math.co] 3 Sep 2017 On the Approxate Asyptotc Statstcal Independence of the Peranents of 0- Matrces arxv:705.0868v2 ath.co 3 Sep 207 Paul Federbush Departent of Matheatcs Unversty of Mchgan Ann Arbor, MI, 4809-043 Septeber

More information

Copyright (C) 2008 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of the Creative

Copyright (C) 2008 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of the Creative Copyrght (C) 008 Davd K. Levne Ths document s an open textbook; you can redstrbute t and/or modfy t under the terms of the Creatve Commons Attrbuton Lcense. Compettve Equlbrum wth Pure Exchange n traders

More information

Final Exam Solutions, 1998

Final Exam Solutions, 1998 58.439 Fnal Exa Solutons, 1998 roble 1 art a: Equlbru eans that the therodynac potental of a consttuent s the sae everywhere n a syste. An exaple s the Nernst potental. If the potental across a ebrane

More information

The oligopolistic markets

The oligopolistic markets ernando Branco 006-007 all Quarter Sesson 5 Part II The olgopolstc markets There are a few supplers. Outputs are homogenous or dfferentated. Strategc nteractons are very mportant: Supplers react to each

More information

Chapter One Mixture of Ideal Gases

Chapter One Mixture of Ideal Gases herodynacs II AA Chapter One Mxture of Ideal Gases. Coposton of a Gas Mxture: Mass and Mole Fractons o deterne the propertes of a xture, we need to now the coposton of the xture as well as the propertes

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration Managng Caacty Through eward Programs on-lne comanon age Byung-Do Km Seoul Natonal Unversty College of Busness Admnstraton Mengze Sh Unversty of Toronto otman School of Management Toronto ON M5S E6 Canada

More information

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium?

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium? APPLIED WELFARE ECONOMICS AND POLICY ANALYSIS Welfare Propertes of General Equlbrum What can be sad about optmalty propertes of resource allocaton mpled by general equlbrum? Any crteron used to compare

More information

The Parity of the Number of Irreducible Factors for Some Pentanomials

The Parity of the Number of Irreducible Factors for Some Pentanomials The Party of the Nuber of Irreducble Factors for Soe Pentanoals Wolfra Koepf 1, Ryul K 1 Departent of Matheatcs Unversty of Kassel, Kassel, F. R. Gerany Faculty of Matheatcs and Mechancs K Il Sung Unversty,

More information

Page 1. SPH4U: Lecture 7. New Topic: Friction. Today s Agenda. Surface Friction... Surface Friction...

Page 1. SPH4U: Lecture 7. New Topic: Friction. Today s Agenda. Surface Friction... Surface Friction... SPH4U: Lecture 7 Today s Agenda rcton What s t? Systeatc catagores of forces How do we characterze t? Model of frcton Statc & Knetc frcton (knetc = dynac n soe languages) Soe probles nvolvng frcton ew

More information

Constant Best-Response Functions: Interpreting Cournot

Constant Best-Response Functions: Interpreting Cournot Internatonal Journal of Busness and Economcs, 009, Vol. 8, No., -6 Constant Best-Response Functons: Interpretng Cournot Zvan Forshner Department of Economcs, Unversty of Hafa, Israel Oz Shy * Research

More information

Let p z be the price of z and p 1 and p 2 be the prices of the goods making up y. In general there is no problem in grouping goods.

Let p z be the price of z and p 1 and p 2 be the prices of the goods making up y. In general there is no problem in grouping goods. Economcs 90 Prce Theory ON THE QUESTION OF SEPARABILITY What we would lke to be able to do s estmate demand curves by segmentng consumers purchases nto groups. In one applcaton, we aggregate purchases

More information

Norm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise

Norm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise ppled Mathematcal Scences, Vol. 4, 200, no. 60, 2955-296 Norm Bounds for a ransformed ctvty Level Vector n Sraffan Systems: Dual Exercse Nkolaos Rodousaks Department of Publc dmnstraton, Panteon Unversty

More information

Problem Set 4: Sketch of Solutions

Problem Set 4: Sketch of Solutions Problem Set 4: Sketc of Solutons Informaton Economcs (Ec 55) George Georgads Due n class or by e-mal to quel@bu.edu at :30, Monday, December 8 Problem. Screenng A monopolst can produce a good n dfferent

More information

Scattering by a perfectly conducting infinite cylinder

Scattering by a perfectly conducting infinite cylinder Scatterng by a perfectly conductng nfnte cylnder Reeber that ths s the full soluton everywhere. We are actually nterested n the scatterng n the far feld lt. We agan use the asyptotc relatonshp exp exp

More information

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009 College of Computer & Informaton Scence Fall 2009 Northeastern Unversty 20 October 2009 CS7880: Algorthmc Power Tools Scrbe: Jan Wen and Laura Poplawsk Lecture Outlne: Prmal-dual schema Network Desgn:

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

Lecture Notes on Linear Regression

Lecture Notes on Linear Regression Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume

More information

Linear Regression Analysis: Terminology and Notation

Linear Regression Analysis: Terminology and Notation ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Problem Solving in Math (Math 43900) Fall 2013

Problem Solving in Math (Math 43900) Fall 2013 Problem Solvng n Math (Math 43900) Fall 2013 Week four (September 17) solutons Instructor: Davd Galvn 1. Let a and b be two nteger for whch a b s dvsble by 3. Prove that a 3 b 3 s dvsble by 9. Soluton:

More information

Expected Value and Variance

Expected Value and Variance MATH 38 Expected Value and Varance Dr. Neal, WKU We now shall dscuss how to fnd the average and standard devaton of a random varable X. Expected Value Defnton. The expected value (or average value, or

More information

Math1110 (Spring 2009) Prelim 3 - Solutions

Math1110 (Spring 2009) Prelim 3 - Solutions Math 1110 (Sprng 2009) Solutons to Prelm 3 (04/21/2009) 1 Queston 1. (16 ponts) Short answer. Math1110 (Sprng 2009) Prelm 3 - Solutons x a 1 (a) (4 ponts) Please evaluate lm, where a and b are postve numbers.

More information

Mergers among leaders and mergers among followers. Abstract

Mergers among leaders and mergers among followers. Abstract Mergers among leaders and mergers among followers John S. Heywood Unversty of Wsconsn - Mlwaukee Matthew McGnty Unversty of Wsconsn-Mlwaukee Abstract We are the frst to confrm that suffcent cost convexty

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

Elastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy.

Elastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy. Elastc Collsons Defnton: to pont asses on hch no external forces act collde thout losng any energy v Prerequstes: θ θ collsons n one denson conservaton of oentu and energy occurs frequently n everyday

More information

AN ANALYSIS OF A FRACTAL KINETICS CURVE OF SAVAGEAU

AN ANALYSIS OF A FRACTAL KINETICS CURVE OF SAVAGEAU AN ANALYI OF A FRACTAL KINETIC CURE OF AAGEAU by John Maloney and Jack Hedel Departent of Matheatcs Unversty of Nebraska at Oaha Oaha, Nebraska 688 Eal addresses: aloney@unoaha.edu, jhedel@unoaha.edu Runnng

More information

Unit 5: Quadratic Equations & Functions

Unit 5: Quadratic Equations & Functions Date Perod Unt 5: Quadratc Equatons & Functons DAY TOPIC 1 Modelng Data wth Quadratc Functons Factorng Quadratc Epressons 3 Solvng Quadratc Equatons 4 Comple Numbers Smplfcaton, Addton/Subtracton & Multplcaton

More information

Solutions HW #2. minimize. Ax = b. Give the dual problem, and make the implicit equality constraints explicit. Solution.

Solutions HW #2. minimize. Ax = b. Give the dual problem, and make the implicit equality constraints explicit. Solution. Solutons HW #2 Dual of general LP. Fnd the dual functon of the LP mnmze subject to c T x Gx h Ax = b. Gve the dual problem, and make the mplct equalty constrants explct. Soluton. 1. The Lagrangan s L(x,

More information

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. ) with a symmetric Pcovariance matrix of the y( x ) measurements V

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. ) with a symmetric Pcovariance matrix of the y( x ) measurements V Fall Analyss o Experental Measureents B Esensten/rev S Errede General Least Squares wth General Constrants: Suppose we have easureents y( x ( y( x, y( x,, y( x wth a syetrc covarance atrx o the y( x easureents

More information