Panos Kouvelis Olin School of Business Washington University

Size: px
Start display at page:

Download "Panos Kouvelis Olin School of Business Washington University"

Transcription

1 Quality-Based Cometition, Profitability, and Variable Costs Chester Chambers Co Shool of Business Dallas, TX Panos Kouvelis Olin Shool of Business Washington University John Semle Co Shool of Business Dallas, TX 7575

2 Aendi Euivalene of Utility Seifiations Consider i the utility funtion U, : θ θ where θ has the umulative distribution funtion F θ orresonding to a uniform distribution on [ε,] versus ii the lassial utility funtion U,,α α where α has the unknown umulative distribution F α t The infinitesimal ε is introdued to avoid division by 0, although taking the limit ε 0 oses no diffiulties in our subseuent analysis The two utility seifiations are euivalent if and only if the roortion of the oulation referring one rodut over another in our model euals the roortion of the oulation having idential referenes in the lassial model Straightforward algebra shows that these roortions are indeed eual if and only if Pr α t Pr θ / t owever, α θ t < / t ε t / ε Fα t Pr α : α t Pr θ : θ / t Fθ / t ε 0 t > / ε Differentiating eah side with reset to t imlies the euivalent density for the taste arameter in the lassial model is f t α ε t for t / ε and 0 elsewhere In the seial ase where ε 0, the euivalent density for the taste arameter in the lassial model is f α t / t on [, Proosition Condition The terms,, and are onsidered fied given Suose < / Then me must have / < / < / see Figure a and s rofit is π min /, It is easy to show that s rofit is stritly inreasing on this interval Thus /, whih is Condition Condition By Condition, we must have / / / For suh that / > see Figure, s rofit is π, whih is stritly inreasing Therefore, will always resond with a rie suh that / or euivalently Best Resonse for Beause must satisfy roosition, we have π / π and

3 If <, the funtion π is stritly inreasing and thus this rie is simly large and finite if one takes θ [ε,] for ε > 0 and small If, then s rofit is, regardless of s rie rovided it is feasible see Figure Thus selets any rie satisfying, / If >, then π is stritly dereasing and will set the lowest ossible feasible rie, whih is, / In summary, s best resonse is R, /, / < > Proosition Given 0 < < let hose a rie, and hose his best resonse Thus, the total size of the served market is and π Sine > has ositive market share and rofits as long as > This is easily verified by diret substitution The following lemma is needed to simlify the analysis of s best resonse It is based on straightforward algebra and therefore offered without roof emma If satisfies a market overing rie, then Condition of roosition imlies Condition If >, then Condition imlies Condition Best resonse for Market is overed ase On the interval, overs the market and the resulting rofit funtion is π Assuming the market is overed imliitly reuires ; if this is not the ase, the market annot be overed and one roeeds diretly to the analysis of the unovered market For the overed market ase, we have π / The euation π / 0 has two roots owever, only one of these roots is less than, and therefore it is the only relevant resonse The root is Beause of s rie floor,, one an show by diret alulation that i is an inreasing funtion of, ii, and iii Condition of 3

4 roosition holds observe that we must still show s rie resonse forms a feasible air so that the initial rofit reresentation for is valid If the root additionally satisfies, then, must be a feasible air of ries by emma In this ase, we may make the stronger statement that is a global imum for all < This follows from the fat that the funtion is onave on the etended interval < and vanishes at most one on this interval Thus for feasible ries satisfying >, we observe The latter ineuality ensures that is a global imum for π if If >, then the derivative of π is ositive on the interval and so π is inreasing on this interval The imum and thus s best resonse ours at This resonse forms a feasible air beause a if Condition of roosition is satisfied for then it is satisfied for and b Condition and Condition are idential if Market not overed ase If has a ositive market share and >, the market is not overed Observe that > an only our if > otherwise the market is already overed by see Figure b and Figure Additionally, we may assume has ried above his rie floor,,, For satisfying, s rofit funtion is given by π, and π / If the derivative vanishes at an interior oint >, then it is a global imum on the interval sine π is stritly onave on this interval Again, there are two ossible roots for π / 0 owever, in this ase only one root is ositive: It an be shown we omit the tedious algebra that, satisfies Condition of roosition rovided Note that the latter ondition is guaranteed by s rie floor

5 Moreover, it an be shown the root is an inreasing funtion of on the interval,, and further satisfies If, then emma imlies Condition must hold as well Thus, is a feasible air of ries whenever This solution is also a global imum for π for reasons elained net We observe first that the derivative for π annot vanish on both of the intervals and > For suose π / 0 for, then we have for all feasible ries Observe that the two rofit eressions agree at the rossover oint owever, the atual onave rofit funtion that alies on the interval, π, is bounded above by the stritly dereasing onave funtion This rohibits π / from vanishing on the interval > if it has already vanished for Thus if >, π must be inreasing on [, ], inreasing on [, ], and then dereasing thereafter This makes a global imum If the solution satisfies, then the rofit funtion is dereasing on the interval and the imum on this interval ours at the endoint, whih is feasible sine > see Figure It an be shown that < rovided hooses above his rie floor Conseuently, the best resonse for is if < R if > otherwise Theorem : Prie Euilibrium Eistene of a rie euilibrium We observe that the best resonse urves always interset This an be shown in three stes, whose details are left to the reader Ste : The minimum oint on s resonse urve has oordinates,, This oint ours at the bottom of a vertial line segment ositioned at see Figure 3 Ste If the minimum resonse on s urve is, then <, whih imlies R < Ste 3 If 5

6 the minimum resonse on s urve is, then this imlies < One an then show < <, whih imlies R < Sine R is an inreasing funtion satisfying R as, it must ross the infinite vertial segment of s resonse urve see Figure 3 at some oint above, Observe that a simle erturbation argument imlies the eistene of a similar intersetion for the ase where θ [ε,], rovided ε is suffiiently small The rie euilibrium The only otential euilibrium solution ours when In this ase, the rofit funtion beomes π Conseuently, aears indifferent to any feasible rie sine they all result in an idential rofit of this indifferene disaears for θ [ε,] with ε > 0 and small owever, must still hoose his rie arefully so that aets the rie and has no inentive to hange This is indeed the ase if is set so that is s otimal resonse Analysis of the first term in s resonse urve shows that if < then the value of whih drives to is / / One an readily hek that as defined above and form a feasible air of ries this ensures that our original rofit reresentations are valid These are the euilibrium ries when < Analysis of the seond term in s resonse urve shows that if >, the aroriate seletion is α / α / α where α One an hek that as defined above and form a feasible air of ries These are the euilibrium ries when > Finally, if, then there are an infinity of rie euilibrium solutions One an alulate a value for using either of the reeding formulas, although any rie seleted between these two values will also suffie This ours beause the finite vertial segment in s best resonse urve erfetly oinides with the infinite vertial segment in s resonse urve see Figure 3 We note that this situation does not our when the rie sensitivity arameter satisfies θ [ε,] ε > 0 The solution with the lowest rie for is the limiting rie as ε 0 Theorem : Theorem The result follows from diret substitution into euation using the results from Theorem 3: Sine < by definition, the market is neessarily unovered unless, whih is therefore the only situation to assume For notational onveniene, 6

7 7 reall The roof roeeds by showing that s market share for the unovered market as see 0 eeeds s market share for the entire overed market see 9 Sine rofit margins are also larger on the unovered market side, it follows that the rofit for as see 0 will dominate all rofits for 9 with Aording to 0, the market share for as is im / / Sine >, Beause / is log-onave, so is Thus for any y we must have y y Beause is onve, for any y we must have y y, where the differene uotient at y is interreted as Thus for y, and z we have z z, where the last ineuality follows from the onveity of It follows that for any z, z z The last term is reisely s market share in 9 for z in the interval z This demonstrates that the market share for as eeeds that for all where 9

8 alies This imlies the imum rofit ours over the region market region whose rofit is determined by 0, ie, the unovered We introdue three lemmas that will hel with the roof of Theorem emma Suose / is onve and log-onave Then the ratio funtion / r is non-dereasing Proof Observe that r is ontinuous on 0, ] with r 0 0 / and [ ] [ 0, r / Moreover, r is differentiable on and therefore it is non-dereasing on [ 0, ] if and only if its derivative is nonnegative on 0, The latter is euivalent, after suitable algebrai maniulations, to the ineuality ondition We will now show the latter ineuality is true Observe that we may write h with h onve and log-onave og-onavity of h imlies h / h is a dereasing funtion of Therefore, beginning with the left hand side of the revious ineuality ondition h h h h h h But h is onve, so the final term in urly brakets satisfies { h h } { h h } h h h h h emma 3 Suose f is nonnegative, differentiable, and stritly onave on [ a, b] Suose g is differentiable, non-inreasing, and ositive on [ a, b] et the imum of f on [ a, b] our at the oint f, and let a global imum of f g on [ a, b] our at the oint fg Then fg f Proof For, b], f < 0 After alying the rodut rule and the various sign f onditions stated in the theorem, it follows that < 0 the result fg on this interval as well This roves emma Suose n and d are nonnegative, ontinuous funtions on [ a, b] that are 8

9 n also differentiable on a, b Assume n is non-dereasing If the ratio d is ontinuous n on [ a, b], non-dereasing on [ a, b], and differentiable on a, b, then α d is ontinuous and non-dereasing on [ a, b] for any α > 0 n n Proof Continuity of on [ a, b] is lear Sine α d d is non-dereasing and differentiable on a, b, n d n d 0 on a, b, and so n n [ α d ] n d 0 on a, b, whih imlies α d is non-dereasing on [ a, b] Theorem Part a By lemma, r is non-dereasing on [ 0, ] Thus r / is non-dereasing with a removable singularity at 0 The following hain of non-dereasing non-d for short funtions is imlied: r / non-d emma non-d non-d emma non-d Conseuently, / non-d - / g is seen to be ositive and non-inreasing If we define f art a of Theorem follows immediately from emma 3, then / For art b of the theorem, observe that an uer bound on s rofit in is π π If leafrogs, the same ineuality alies where reresents the high uality osition Sine <, <, s best rofit from leafrogging is bounded K K 9

10 above by K Part b follows by omaring the lower bound on s rofit ensured by art a and the uer bound on rofit for leafrogging K For art, observe that the rofit for is bounded above by the eression K[0, ] If leafrogs, then the same bound alies for the otimal osition that takes below : K, where is s urrent osition It is immediately lear that [0, ] K K [0, ] K We will be done if we an show that [0, ] K K[0, ] [ 0, ] The ondition stated in art lays an essential role Consider an arbitrary ost funtion Χ Construt the assoiated funtion λ v λ, λ defined for 0 λ and 0 < Then λ λ λ v λ, λ λ λ λ 0 [ ] [ ] The last ineuality follows beause / is assumed to be non-dereasing, and so the v λ, braketed term must be nonnegative, too Beause 0, it follows that λ λ K [ 0, ] Ma λ Ma K λ [0,] [0, ] [0,] λ λ Sine Χ and Χ, we must have Χ, and onseuently the same result alies for The imum rofit an obtain by leafrogging is therefore bounded above by K K[0, ] Part now follows by insisting that the uer bound on s rofit for leafrogging is no better than the uer bound on s rofit as reviously established in art a for staying at 0

2.2 BUDGET-CONSTRAINED CHOICE WITH TWO COMMODITIES

2.2 BUDGET-CONSTRAINED CHOICE WITH TWO COMMODITIES Essential Miroeonomis -- 22 BUDGET-CONSTRAINED CHOICE WITH TWO COMMODITIES Continuity of demand 2 Inome effets 6 Quasi-linear, Cobb-Douglas and CES referenes 9 Eenditure funtion 4 Substitution effets and

More information

CONSTRUCTION OF MIXED SAMPLING PLAN WITH DOUBLE SAMPLING PLAN AS ATTRIBUTE PLAN INDEXED THROUGH (MAPD, MAAOQ) AND (MAPD, AOQL)

CONSTRUCTION OF MIXED SAMPLING PLAN WITH DOUBLE SAMPLING PLAN AS ATTRIBUTE PLAN INDEXED THROUGH (MAPD, MAAOQ) AND (MAPD, AOQL) Global J. of Arts & Mgmt., 0: () Researh Paer: Samath kumar et al., 0: P.07- CONSTRUCTION OF MIXED SAMPLING PLAN WITH DOUBLE SAMPLING PLAN AS ATTRIBUTE PLAN INDEXED THROUGH (MAPD, MAAOQ) AND (MAPD, AOQL)

More information

Volume 29, Issue 3. On the definition of nonessentiality. Udo Ebert University of Oldenburg

Volume 29, Issue 3. On the definition of nonessentiality. Udo Ebert University of Oldenburg Volume 9, Issue 3 On the definition of nonessentiality Udo Ebert University of Oldenburg Abstrat Nonessentiality of a good is often used in welfare eonomis, ost-benefit analysis and applied work. Various

More information

EconS 503 Homework #8. Answer Key

EconS 503 Homework #8. Answer Key EonS 503 Homework #8 Answer Key Exerise #1 Damaged good strategy (Menu riing) 1. It is immediate that otimal rie is = 3 whih yields rofits of ππ = 3/ (the alternative being a rie of = 1, yielding ππ =

More information

Fundamental Theorem of Calculus

Fundamental Theorem of Calculus Chater 6 Fundamental Theorem of Calulus 6. Definition (Nie funtions.) I will say that a real valued funtion f defined on an interval [a, b] is a nie funtion on [a, b], if f is ontinuous on [a, b] and integrable

More information

EXTENDED MATRIX CUBE THEOREMS WITH APPLICATIONS TO -THEORY IN CONTROL

EXTENDED MATRIX CUBE THEOREMS WITH APPLICATIONS TO -THEORY IN CONTROL MATHEMATICS OF OPERATIONS RESEARCH Vol. 28, No. 3, August 2003,. 497 523 Printed in U.S.A. EXTENDED MATRIX CUBE THEOREMS WITH APPLICATIONS TO -THEORY IN CONTROL AHARON BEN-TAL, ARKADI NEMIROVSKI, and CORNELIS

More information

EE451/551: Digital Control. Relationship Between s and z Planes. The Relationship Between s and z Planes 11/10/2011

EE451/551: Digital Control. Relationship Between s and z Planes. The Relationship Between s and z Planes 11/10/2011 /0/0 EE45/55: Digital Control Chater 6: Digital Control System Design he Relationshi Between s and Planes As noted reviously: s j e e e e r s j where r e and If an analog system has oles at: s n jn a jd

More information

Risk Analysis in Water Quality Problems. Souza, Raimundo 1 Chagas, Patrícia 2 1,2 Departamento de Engenharia Hidráulica e Ambiental

Risk Analysis in Water Quality Problems. Souza, Raimundo 1 Chagas, Patrícia 2 1,2 Departamento de Engenharia Hidráulica e Ambiental Risk Analysis in Water Quality Problems. Downloaded from aselibrary.org by Uf - Universidade Federal Do Ceara on 1/29/14. Coyright ASCE. For ersonal use only; all rights reserved. Souza, Raimundo 1 Chagas,

More information

The Hanging Chain. John McCuan. January 19, 2006

The Hanging Chain. John McCuan. January 19, 2006 The Hanging Chain John MCuan January 19, 2006 1 Introdution We onsider a hain of length L attahed to two points (a, u a and (b, u b in the plane. It is assumed that the hain hangs in the plane under a

More information

max min z i i=1 x j k s.t. j=1 x j j:i T j

max min z i i=1 x j k s.t. j=1 x j j:i T j AM 221: Advaned Optimization Spring 2016 Prof. Yaron Singer Leture 22 April 18th 1 Overview In this leture, we will study the pipage rounding tehnique whih is a deterministi rounding proedure that an be

More information

Some facts you should know that would be convenient when evaluating a limit:

Some facts you should know that would be convenient when evaluating a limit: Some fats you should know that would be onvenient when evaluating a it: When evaluating a it of fration of two funtions, f(x) x a g(x) If f and g are both ontinuous inside an open interval that ontains

More information

On the Licensing of Innovations under Strategic Delegation

On the Licensing of Innovations under Strategic Delegation On the Liensing of Innovations under Strategi Delegation Judy Hsu Institute of Finanial Management Nanhua University Taiwan and X. Henry Wang Department of Eonomis University of Missouri USA Abstrat This

More information

Word of Mass: The Relationship between Mass Media and Word-of-Mouth

Word of Mass: The Relationship between Mass Media and Word-of-Mouth Word of Mass: The Relationship between Mass Media and Word-of-Mouth Roman Chuhay Preliminary version Marh 6, 015 Abstrat This paper studies the optimal priing and advertising strategies of a firm in the

More information

WEIGHTED MAXIMUM OVER MINIMUM MODULUS OF POLYNOMIALS, APPLIED TO RAY SEQUENCES OF PADÉ APPROXIMANTS

WEIGHTED MAXIMUM OVER MINIMUM MODULUS OF POLYNOMIALS, APPLIED TO RAY SEQUENCES OF PADÉ APPROXIMANTS WEIGHTED MAXIMUM OVER MINIMUM MODULUS OF POLYNOMIALS, APPLIED TO RAY SEQUENCES OF PADÉ APPROXIMANTS D.S. LUBINSKY Abstrat. Let a 0; " > 0. We use otential theory to obtain a shar lower bound for the linear

More information

kids (this case is for j = 1; j = 2 case is similar). For the interior solution case, we have 1 = c (x 2 t) + p 2

kids (this case is for j = 1; j = 2 case is similar). For the interior solution case, we have 1 = c (x 2 t) + p 2 Problem 1 There are two subgames, or stages. At stage 1, eah ie ream parlor i (I all it firm i from now on) selets loation x i simultaneously. At stage 2, eah firm i hooses pries p i. To find SPE, we start

More information

Product Policy in Markets with Word-of-Mouth Communication. Technical Appendix

Product Policy in Markets with Word-of-Mouth Communication. Technical Appendix rodut oliy in Markets with Word-of-Mouth Communiation Tehnial Appendix August 05 Miro-Model for Inreasing Awareness In the paper, we make the assumption that awareness is inreasing in ustomer type. I.e.,

More information

INCOME AND SUBSTITUTION EFFECTS

INCOME AND SUBSTITUTION EFFECTS 3076-C5.df 3/12/04 10:56 AM Page 121 121 Chater 5 INCOME AND SUBSTITUTION EFFECTS In this hater we will use the utility-maimization model to study how the quantity of a good that an individual hooses is

More information

Hankel Optimal Model Order Reduction 1

Hankel Optimal Model Order Reduction 1 Massahusetts Institute of Tehnology Department of Eletrial Engineering and Computer Siene 6.245: MULTIVARIABLE CONTROL SYSTEMS by A. Megretski Hankel Optimal Model Order Redution 1 This leture overs both

More information

Beams on Elastic Foundation

Beams on Elastic Foundation Professor Terje Haukaas University of British Columbia, Vanouver www.inrisk.ub.a Beams on Elasti Foundation Beams on elasti foundation, suh as that in Figure 1, appear in building foundations, floating

More information

Millennium Relativity Acceleration Composition. The Relativistic Relationship between Acceleration and Uniform Motion

Millennium Relativity Acceleration Composition. The Relativistic Relationship between Acceleration and Uniform Motion Millennium Relativity Aeleration Composition he Relativisti Relationship between Aeleration and niform Motion Copyright 003 Joseph A. Rybzyk Abstrat he relativisti priniples developed throughout the six

More information

Convex Analysis and Economic Theory Winter 2018

Convex Analysis and Economic Theory Winter 2018 Division of the Humanities and Social Sciences Ec 181 KC Border Conve Analysis and Economic Theory Winter 2018 Toic 16: Fenchel conjugates 16.1 Conjugate functions Recall from Proosition 14.1.1 that is

More information

CSC321: 2011 Introduction to Neural Networks and Machine Learning. Lecture 11: Bayesian learning continued. Geoffrey Hinton

CSC321: 2011 Introduction to Neural Networks and Machine Learning. Lecture 11: Bayesian learning continued. Geoffrey Hinton CSC31: 011 Introdution to Neural Networks and Mahine Learning Leture 11: Bayesian learning ontinued Geoffrey Hinton Bayes Theorem, Prior robability of weight vetor Posterior robability of weight vetor

More information

CHAPTER 16. Basic Concepts. Basic Concepts. The Equilibrium Constant. Reaction Quotient & Equilibrium Constant. Chemical Equilibrium

CHAPTER 16. Basic Concepts. Basic Concepts. The Equilibrium Constant. Reaction Quotient & Equilibrium Constant. Chemical Equilibrium Proerties of an Equilibrium System CHAPTER 6 Chemial Equilibrium Equilibrium systems are DYNAMIC (in onstant motion) REVERSIBLE an be aroahed from either diretion Pink to blue Co(H O) 6 Cl ---> > Co(H

More information

, given by. , I y. and I z. , are self adjoint, meaning that the adjoint of the operator is equal to the operator. This follows as A.

, given by. , I y. and I z. , are self adjoint, meaning that the adjoint of the operator is equal to the operator. This follows as A. Further relaxation 6. ntrodution As resented so far the theory is aable of rediting the rate of transitions between energy levels i.e. it is onerned with oulations. The theory is thus erfetly aetable for

More information

On Some Coefficient Estimates For Certain Subclass of Analytic And Multivalent Functions

On Some Coefficient Estimates For Certain Subclass of Analytic And Multivalent Functions IOSR Journal of Mathematis (IOSR-JM) e-issn: 78-578, -ISSN: 9-765X. Volume, Issue 6 Ver. I (Nov. - De.06), PP 58-65 www.iosrournals.org On Some Coeffiient Estimates For Certain Sublass of nalyti nd Multivalent

More information

LECTURE NOTES FOR , FALL 2004

LECTURE NOTES FOR , FALL 2004 LECTURE NOTES FOR 18.155, FALL 2004 83 12. Cone support and wavefront set In disussing the singular support of a tempered distibution above, notie that singsupp(u) = only implies that u C (R n ), not as

More information

Microeconomic Theory I Assignment #7 - Answer key

Microeconomic Theory I Assignment #7 - Answer key Miroeonomi Theory I Assignment #7 - Answer key. [Menu priing in monopoly] Consider the example on seond-degree prie disrimination (see slides 9-93). To failitate your alulations, assume H = 5, L =, and

More information

1 Riesz Potential and Enbeddings Theorems

1 Riesz Potential and Enbeddings Theorems Riesz Potential and Enbeddings Theorems Given 0 < < and a function u L loc R, the Riesz otential of u is defined by u y I u x := R x y dy, x R We begin by finding an exonent such that I u L R c u L R for

More information

Takeshi Kurata Jun Fujiki Katsuhiko Sakaue. 1{1{4 Umezono, Tsukuba-shi, Ibaraki , JAPAN. fkurata, fujiki,

Takeshi Kurata Jun Fujiki Katsuhiko Sakaue. 1{1{4 Umezono, Tsukuba-shi, Ibaraki , JAPAN. fkurata, fujiki, Ane Eiolar Geometry via Fatorization Method akeshi Kurata Jun Fujiki Katsuhiko Sakaue Eletrotehnial Laboratory {{4 Umezono, sukuba-shi, Ibaraki 305-8568, JAPAN fkurata, fujiki, sakaueg@etl.go.j Abstrat

More information

The Procedure of Finding the Stress-Energy. Tensor and Equations of Vector Field of Any Form

The Procedure of Finding the Stress-Energy. Tensor and Equations of Vector Field of Any Form Advaned Studies in Theoretial Phsis Vol. 8, 14, no. 18, 771-779 HIKARI Ltd, www.m-hikari.om htt://d.doi.org/1.1988/ast.14.4711 The Proedure of Finding the Stress-Energ Tensor and Equations of Vetor Field

More information

Geometry of Transformations of Random Variables

Geometry of Transformations of Random Variables Geometry of Transformations of Random Variables Univariate distributions We are interested in the problem of finding the distribution of Y = h(x) when the transformation h is one-to-one so that there is

More information

MULTIPLE SOLUTIONS FOR A CLASS OF DIRICHLET QUASILINEAR ELLIPTIC SYSTEMS DRIVEN BY A (P, Q)-LAPLACIAN OPERATOR

MULTIPLE SOLUTIONS FOR A CLASS OF DIRICHLET QUASILINEAR ELLIPTIC SYSTEMS DRIVEN BY A (P, Q)-LAPLACIAN OPERATOR Dynami Systems Aliations 20 (2011) 89-100 MULTIPLE SOLUTIONS FOR A CLASS OF DIRICHLET QUASILINEAR ELLIPTIC SYSTEMS DRIVEN BY A (P, Q)-LAPLACIAN OPERATOR GABRIELE BONANNO a, SHAPOUR HEIDARKHANI b, AND DONAL

More information

Methods of evaluating tests

Methods of evaluating tests Methods of evaluating tests Let X,, 1 Xn be i.i.d. Bernoulli( p ). Then 5 j= 1 j ( 5, ) T = X Binomial p. We test 1 H : p vs. 1 1 H : p>. We saw that a LRT is 1 if t k* φ ( x ) =. otherwise (t is the observed

More information

Real-time Hand Tracking Using a Sum of Anisotropic Gaussians Model

Real-time Hand Tracking Using a Sum of Anisotropic Gaussians Model Real-time Hand Traking Using a Sum of Anisotroi Gaussians Model Srinath Sridhar 1, Helge Rhodin 1, Hans-Peter Seidel 1, Antti Oulasvirta 2, Christian Theobalt 1 1 Max Plank Institute for Informatis Saarbrüken,

More information

Internet Appendix for Proxy Advisory Firms: The Economics of Selling Information to Voters

Internet Appendix for Proxy Advisory Firms: The Economics of Selling Information to Voters Internet Appendix for Proxy Advisory Firms: The Eonomis of Selling Information to Voters Andrey Malenko and Nadya Malenko The first part of the Internet Appendix presents the supplementary analysis for

More information

A NETWORK SIMPLEX ALGORITHM FOR THE MINIMUM COST-BENEFIT NETWORK FLOW PROBLEM

A NETWORK SIMPLEX ALGORITHM FOR THE MINIMUM COST-BENEFIT NETWORK FLOW PROBLEM NETWORK SIMPLEX LGORITHM FOR THE MINIMUM COST-BENEFIT NETWORK FLOW PROBLEM Cen Çalışan, Utah Valley University, 800 W. University Parway, Orem, UT 84058, 801-863-6487, en.alisan@uvu.edu BSTRCT The minimum

More information

Market Segmentation for Privacy Differentiated Free Services

Market Segmentation for Privacy Differentiated Free Services 1 Market Segmentation for Privay Differentiated Free Servies Chong Huang, Lalitha Sankar arxiv:1611.538v [s.gt] 18 Nov 16 Abstrat The emerging marketplae for online free servies in whih servie providers

More information

MANAGEMENT SCIENCE doi /mnsc ec

MANAGEMENT SCIENCE doi /mnsc ec MANAGEMENT SCIENCE doi 0287/mnsc0800993ec e-comanion ONLY AVAILABLE IN ELECTRONIC FORM informs 2009 INFORMS Electronic Comanion Otimal Entry Timing in Markets with Social Influence by Yogesh V Joshi, David

More information

Strauss PDEs 2e: Section Exercise 3 Page 1 of 13. u tt c 2 u xx = cos x. ( 2 t c 2 2 x)u = cos x. v = ( t c x )u

Strauss PDEs 2e: Section Exercise 3 Page 1 of 13. u tt c 2 u xx = cos x. ( 2 t c 2 2 x)u = cos x. v = ( t c x )u Strauss PDEs e: Setion 3.4 - Exerise 3 Page 1 of 13 Exerise 3 Solve u tt = u xx + os x, u(x, ) = sin x, u t (x, ) = 1 + x. Solution Solution by Operator Fatorization Bring u xx to the other side. Write

More information

Simple Cyclic loading model based on Modified Cam Clay

Simple Cyclic loading model based on Modified Cam Clay Simle li loading model based on Modified am la Imlemented in RISP main rogram version 00. and higher B Amir Rahim, The RISP onsortium Ltd Introdution This reort resents a simle soil model whih rovides

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Physics Physics IC-W08D2-11 Jumping Off as Flatcar Solution

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Physics Physics IC-W08D2-11 Jumping Off as Flatcar Solution N eole, eah o mass MASSACHUSETTS INSTITUTE OF TECHNOLOGY Deartment o Physis Physis 8.01 IC-W08D2-11 Juming O as Flatar Solution m, stand on a railway latar o mass m. They jum o one end o the latar with

More information

7 Max-Flow Problems. Business Computing and Operations Research 608

7 Max-Flow Problems. Business Computing and Operations Research 608 7 Max-Flow Problems Business Computing and Operations Researh 68 7. Max-Flow Problems In what follows, we onsider a somewhat modified problem onstellation Instead of osts of transmission, vetor now indiates

More information

Key words. neural field model, integro-differential equation, traveling front, neural network, existence, linear stability

Key words. neural field model, integro-differential equation, traveling front, neural network, existence, linear stability EXISTENCE AND STABILITY OF TRAVELING FRONTS IN A LATERAL INHIBITION NEURAL NETWORK YIXIN GUO Abstrat. We onsider the existene and stability of traveling front solutions of a neural network onsisting of

More information

Subject: Modeling of Thermal Rocket Engines; Nozzle flow; Control of mass flow. p c. Thrust Chamber mixing and combustion

Subject: Modeling of Thermal Rocket Engines; Nozzle flow; Control of mass flow. p c. Thrust Chamber mixing and combustion 16.50 Leture 6 Subjet: Modeling of Thermal Roket Engines; Nozzle flow; Control of mass flow Though onetually simle, a roket engine is in fat hysially a very omlex devie and diffiult to reresent quantitatively

More information

3. THE SOLUTION OF TRANSFORMATION PARAMETERS

3. THE SOLUTION OF TRANSFORMATION PARAMETERS Deartment of Geosatial Siene. HE SOLUION OF RANSFORMAION PARAMEERS Coordinate transformations, as used in ratie, are models desribing the assumed mathematial relationshis between oints in two retangular

More information

Disgregative Phenomenon of Antique Mortars

Disgregative Phenomenon of Antique Mortars Strutural Analysis of Historial Construtions, New Delhi 6 P.B. Lourenço, P. Roa, C. Modena, S. Agrawal (Eds.) Disgregative Phenomenon of Antique Mortars M.R. Migliore Seond University of Nales, Deartment

More information

Taste for variety and optimum product diversity in an open economy

Taste for variety and optimum product diversity in an open economy Taste for variety and optimum produt diversity in an open eonomy Javier Coto-Martínez City University Paul Levine University of Surrey Otober 0, 005 María D.C. Garía-Alonso University of Kent Abstrat We

More information

Proportional-Integral-Derivative PID Controls

Proportional-Integral-Derivative PID Controls Proortional-Integral-Derivative PID Controls Dr M.J. Willis Det. of Chemial and Proess Engineering University of Newastle e-mail: mark.willis@nl.a.uk Written: 7 th November, 998 Udated: 6 th Otober, 999

More information

5.1 Composite Functions

5.1 Composite Functions SECTION. Composite Funtions 7. Composite Funtions PREPARING FOR THIS SECTION Before getting started, review the following: Find the Value of a Funtion (Setion., pp. 9 ) Domain of a Funtion (Setion., pp.

More information

Split the integral into two: [0,1] and (1, )

Split the integral into two: [0,1] and (1, ) . A continuous random variable X has the iecewise df f( ) 0, 0, 0, where 0 is a ositive real number. - (a) For any real number such that 0, rove that the eected value of h( X ) X is E X. (0 ts) Solution:

More information

A Characterization of Wavelet Convergence in Sobolev Spaces

A Characterization of Wavelet Convergence in Sobolev Spaces A Charaterization of Wavelet Convergene in Sobolev Spaes Mark A. Kon 1 oston University Louise Arakelian Raphael Howard University Dediated to Prof. Robert Carroll on the oasion of his 70th birthday. Abstrat

More information

Use of Transformations and the Repeated Statement in PROC GLM in SAS Ed Stanek

Use of Transformations and the Repeated Statement in PROC GLM in SAS Ed Stanek Use of Transformations and the Reeated Statement in PROC GLM in SAS Ed Stanek Introduction We describe how the Reeated Statement in PROC GLM in SAS transforms the data to rovide tests of hyotheses of interest.

More information

Physics 523, General Relativity Homework 4 Due Wednesday, 25 th October 2006

Physics 523, General Relativity Homework 4 Due Wednesday, 25 th October 2006 Physis 523, General Relativity Homework 4 Due Wednesday, 25 th Otober 2006 Jaob Lewis Bourjaily Problem Reall that the worldline of a ontinuously aelerated observer in flat spae relative to some inertial

More information

Final Review. A Puzzle... Special Relativity. Direction of the Force. Moving at the Speed of Light

Final Review. A Puzzle... Special Relativity. Direction of the Force. Moving at the Speed of Light Final Review A Puzzle... Diretion of the Fore A point harge q is loated a fixed height h above an infinite horizontal onduting plane. Another point harge q is loated a height z (with z > h) above the plane.

More information

Relative Maxima and Minima sections 4.3

Relative Maxima and Minima sections 4.3 Relative Maxima and Minima setions 4.3 Definition. By a ritial point of a funtion f we mean a point x 0 in the domain at whih either the derivative is zero or it does not exists. So, geometrially, one

More information

A Queueing Model for Call Blending in Call Centers

A Queueing Model for Call Blending in Call Centers A Queueing Model for Call Blending in Call Centers Sandjai Bhulai and Ger Koole Vrije Universiteit Amsterdam Faulty of Sienes De Boelelaan 1081a 1081 HV Amsterdam The Netherlands E-mail: {sbhulai, koole}@s.vu.nl

More information

Remark 4.1 Unlike Lyapunov theorems, LaSalle s theorem does not require the function V ( x ) to be positive definite.

Remark 4.1 Unlike Lyapunov theorems, LaSalle s theorem does not require the function V ( x ) to be positive definite. Leture Remark 4.1 Unlike Lyapunov theorems, LaSalle s theorem does not require the funtion V ( x ) to be positive definite. ost often, our interest will be to show that x( t) as t. For that we will need

More information

Almost All Palindromes Are Composite

Almost All Palindromes Are Composite Almost All Palindromes Are Comosite William D Banks Det of Mathematics, University of Missouri Columbia, MO 65211, USA bbanks@mathmissouriedu Derrick N Hart Det of Mathematics, University of Missouri Columbia,

More information

USING GENETIC ALGORITHMS FOR OPTIMIZATION OF TURNING MACHINING PROCESS

USING GENETIC ALGORITHMS FOR OPTIMIZATION OF TURNING MACHINING PROCESS Journal of Engineering Studies and Researh Volume 19 (2013) No. 1 47 USING GENETIC ALGORITHMS FOR OPTIMIZATION OF TURNING MACHINING PROCESS DUSAN PETKOVIC 1, MIROSLAV RADOVANOVIC 1 1 University of Nis,

More information

Subject: Introduction to Component Matching and Off-Design Operation % % ( (1) R T % (

Subject: Introduction to Component Matching and Off-Design Operation % % ( (1) R T % ( 16.50 Leture 0 Subjet: Introdution to Component Mathing and Off-Design Operation At this point it is well to reflet on whih of the many parameters we have introdued (like M, τ, τ t, ϑ t, f, et.) are free

More information

Four-dimensional equation of motion for viscous compressible substance with regard to the acceleration field, pressure field and dissipation field

Four-dimensional equation of motion for viscous compressible substance with regard to the acceleration field, pressure field and dissipation field Four-dimensional equation of motion for visous ompressible substane with regard to the aeleration field, pressure field and dissipation field Sergey G. Fedosin PO box 6488, Sviazeva str. -79, Perm, Russia

More information

Working Paper. Middlemen, Non-Profits, and Poverty. Nancy H. Chau, Hideaki Goto, and Ravi Kanbur. WP September 2009

Working Paper. Middlemen, Non-Profits, and Poverty. Nancy H. Chau, Hideaki Goto, and Ravi Kanbur. WP September 2009 WP 2009-30 Setember 2009 Working Paer Deartment of Alied Eonomis and Management Cornell University, Ithaa, New York 14853-7801 USA Middlemen, Non-Profits, and Poverty Nany H. Chau, Hideaki Goto, and Ravi

More information

Most results in this section are stated without proof.

Most results in this section are stated without proof. Leture 8 Level 4 v2 he Expliit formula. Most results in this setion are stated without proof. Reall that we have shown that ζ (s has only one pole, a simple one at s =. It has trivial zeros at the negative

More information

arxiv: v1 [math.gt] 22 Nov 2018

arxiv: v1 [math.gt] 22 Nov 2018 SOME REMARKS ON THE CHORD INDEX ZHIYUN CHENG, HONGZHU GAO, AND MENGJIAN XU arxiv:1811.09061v1 [math.gt] 22 Nov 2018 ABSTRACT. In this paper we disuss how to define a hord index via smoothing a real rossing

More information

Directional Coupler. 4-port Network

Directional Coupler. 4-port Network Diretional Coupler 4-port Network 3 4 A diretional oupler is a 4-port network exhibiting: All ports mathed on the referene load (i.e. S =S =S 33 =S 44 =0) Two pair of ports unoupled (i.e. the orresponding

More information

Evaluation of effect of blade internal modes on sensitivity of Advanced LIGO

Evaluation of effect of blade internal modes on sensitivity of Advanced LIGO Evaluation of effet of blade internal modes on sensitivity of Advaned LIGO T0074-00-R Norna A Robertson 5 th Otober 00. Introdution The urrent model used to estimate the isolation ahieved by the quadruple

More information

Discrete Bessel functions and partial difference equations

Discrete Bessel functions and partial difference equations Disrete Bessel funtions and partial differene equations Antonín Slavík Charles University, Faulty of Mathematis and Physis, Sokolovská 83, 186 75 Praha 8, Czeh Republi E-mail: slavik@karlin.mff.uni.z Abstrat

More information

TOWARD THE DEVELOPMENT OF A METHODOLOGY FOR DESIGNING HELICOPTER FLIGHT CONTROL LAWS BY INTEGRATING HANDLING QUALITIES REQUIREMENTS

TOWARD THE DEVELOPMENT OF A METHODOLOGY FOR DESIGNING HELICOPTER FLIGHT CONTROL LAWS BY INTEGRATING HANDLING QUALITIES REQUIREMENTS TOWARD THE DEVELOPMENT OF A METHODOLOGY FOR DESIGNING HELICOPTER FLIGHT CONTROL LAWS BY INTEGRATING HANDLING QUALITIES REQUIREMENTS Jean-Charles Antonioli ONERA Air Base 70 366 Salon de Provene Frane Armin

More information

Fast, Approximately Optimal Solutions for Single and Dynamic MRFs

Fast, Approximately Optimal Solutions for Single and Dynamic MRFs Fast, Aroximately Otimal Solutions for Single and Dynami MRFs Nikos Komodakis, Georgios Tziritas University of Crete, Comuter Siene Deartment {komod,tziritas}@sd.uo.gr Nikos Paragios MAS, Eole Centrale

More information

Fig Review of Granta-gravel

Fig Review of Granta-gravel 0 Conlusion 0. Sope We have introdued the new ritial state onept among older onepts of lassial soil mehanis, but it would be wrong to leave any impression at the end of this book that the new onept merely

More information

Berry s phase for coherent states of Landau levels

Berry s phase for coherent states of Landau levels Berry s phase for oherent states of Landau levels Wen-Long Yang 1 and Jing-Ling Chen 1, 1 Theoretial Physis Division, Chern Institute of Mathematis, Nankai University, Tianjin 300071, P.R.China Adiabati

More information

On the Complexity of the Weighted Fused Lasso

On the Complexity of the Weighted Fused Lasso ON THE COMPLEXITY OF THE WEIGHTED FUSED LASSO On the Compleity of the Weighted Fused Lasso José Bento jose.bento@b.edu Ralph Furmaniak rf@am.org Surjyendu Ray rays@b.edu Abstrat The solution path of the

More information

(q) -convergence. Comenius University, Bratislava, Slovakia

(q) -convergence.   Comenius University, Bratislava, Slovakia Annales Mathematiae et Informatiae 38 (2011) pp. 27 36 http://ami.ektf.hu On I (q) -onvergene J. Gogola a, M. Mačaj b, T. Visnyai b a University of Eonomis, Bratislava, Slovakia e-mail: gogola@euba.sk

More information

Complexity of Regularization RBF Networks

Complexity of Regularization RBF Networks Complexity of Regularization RBF Networks Mark A Kon Department of Mathematis and Statistis Boston University Boston, MA 02215 mkon@buedu Leszek Plaskota Institute of Applied Mathematis University of Warsaw

More information

Green s function for the wave equation

Green s function for the wave equation Green s funtion for the wave equation Non-relativisti ase January 2019 1 The wave equations In the Lorentz Gauge, the wave equations for the potentials are (Notes 1 eqns 43 and 44): 1 2 A 2 2 2 A = µ 0

More information

Boundary value problems for the one-dimensional Willmore equation

Boundary value problems for the one-dimensional Willmore equation Boundary value problems for the one-dimensional Willmore equation Klaus Dekelnik and Hans-Christoph Grunau Fakultät für Mathematik Otto-von-Guerike-Universität Postfah D-396 Magdeburg November 7, 6 Abstrat

More information

arxiv: v1 [cs.gt] 21 Jul 2017

arxiv: v1 [cs.gt] 21 Jul 2017 RSU II ommuniation Cyber attaks Otimal Seure Multi-Layer IoT Network Design Juntao Chen, Corinne Touati, and Quanyan Zhu arxiv:1707.07046v1 [s.gt] 1 Jul 017 Abstrat With the remarkable growth of the Internet

More information

Maximum Entropy and Exponential Families

Maximum Entropy and Exponential Families Maximum Entropy and Exponential Families April 9, 209 Abstrat The goal of this note is to derive the exponential form of probability distribution from more basi onsiderations, in partiular Entropy. It

More information

Excerpt from "Intermediate Algebra" 2014 AoPS Inc.

Excerpt from Intermediate Algebra 2014 AoPS Inc. Ecert from "Intermediate Algebra" 04 AoPS Inc. www.artofroblemsolving.com for which our grah is below the -ais with the oints where the grah intersects the -ais (because the ineuality is nonstrict), we

More information

The shape of a hanging chain. a project in the calculus of variations

The shape of a hanging chain. a project in the calculus of variations The shape of a hanging hain a projet in the alulus of variations April 15, 218 2 Contents 1 Introdution 5 2 Analysis 7 2.1 Model............................... 7 2.2 Extremal graphs.........................

More information

Stress and Displacement Estimates for Arches

Stress and Displacement Estimates for Arches Stress and Dislaement Estimates for Arhes Clive L. Dym, F.ASCE 1 ; and Harry E. Williams Abstrat: This aer resents analytial estimates of the behavior exhibited by urved, arhlike strutures under radially

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Journal of Inequalities in Pure and Applied Mathematis A NEW ARRANGEMENT INEQUALITY MOHAMMAD JAVAHERI University of Oregon Department of Mathematis Fenton Hall, Eugene, OR 97403. EMail: javaheri@uoregon.edu

More information

6 Dynamic Optimization in Continuous Time

6 Dynamic Optimization in Continuous Time 6 Dynami Optimization in Continuous Time 6.1 Dynami programming in ontinuous time Consider the problem Z T max e rt u (k,, t) dt (1) (t) T s.t. k ú = f (k,, t) (2) k () = k, (3) with k (T )= k (ase 1),

More information

Lecture 15 (Nov. 1, 2017)

Lecture 15 (Nov. 1, 2017) Leture 5 8.3 Quantum Theor I, Fall 07 74 Leture 5 (Nov., 07 5. Charged Partile in a Uniform Magneti Field Last time, we disussed the quantum mehanis of a harged partile moving in a uniform magneti field

More information

Appendix A Market-Power Model of Business Groups. Robert C. Feenstra Deng-Shing Huang Gary G. Hamilton Revised, November 2001

Appendix A Market-Power Model of Business Groups. Robert C. Feenstra Deng-Shing Huang Gary G. Hamilton Revised, November 2001 Appendix A Market-Power Model of Business Groups Roert C. Feenstra Deng-Shing Huang Gary G. Hamilton Revised, Novemer 200 Journal of Eonomi Behavior and Organization, 5, 2003, 459-485. To solve for the

More information

Extension of Minimax to Infinite Matrices

Extension of Minimax to Infinite Matrices Extension of Minimax to Infinite Matrices Chris Calabro June 21, 2004 Abstract Von Neumann s minimax theorem is tyically alied to a finite ayoff matrix A R m n. Here we show that (i) if m, n are both inite,

More information

Online Appendix for The Timing and Method of Payment in Mergers when Acquirers Are Financially Constrained

Online Appendix for The Timing and Method of Payment in Mergers when Acquirers Are Financially Constrained Online Aendix for The Timing and Method of Payment in Mergers when Acquirers Are Financially Constrained Alexander S. Gorbenko USC Marshall School of Business Andrey Malenko MIT Sloan School of Management

More information

Investigation of electrons interaction in a superconductor

Investigation of electrons interaction in a superconductor Investigation of eletrons interation in a suerondutor Iogann Tolbatov Physis and Engineering Deartment, Kuban State University, Krasnodar, Russia (talbot108@mailru) Investigation of eletrons interation

More information

23.1 Tuning controllers, in the large view Quoting from Section 16.7:

23.1 Tuning controllers, in the large view Quoting from Section 16.7: Lesson 23. Tuning a real ontroller - modeling, proess identifiation, fine tuning 23.0 Context We have learned to view proesses as dynami systems, taking are to identify their input, intermediate, and output

More information

Statics and dynamics: some elementary concepts

Statics and dynamics: some elementary concepts 1 Statics and dynamics: some elementary concets Dynamics is the study of the movement through time of variables such as heartbeat, temerature, secies oulation, voltage, roduction, emloyment, rices and

More information

On Industry Structure and Firm Conduct in Long Run Equilibrium

On Industry Structure and Firm Conduct in Long Run Equilibrium www.siedu.a/jms Journal of Management and Strategy Vol., No. ; Deember On Industry Struture and Firm Condut in Long Run Equilibrium Prof. Jean-Paul Chavas Department of Agriultural and Applied Eonomis

More information

15-451/651: Design & Analysis of Algorithms October 23, 2018 Lecture #17: Prediction from Expert Advice last changed: October 25, 2018

15-451/651: Design & Analysis of Algorithms October 23, 2018 Lecture #17: Prediction from Expert Advice last changed: October 25, 2018 5-45/65: Design & Analysis of Algorithms October 23, 208 Lecture #7: Prediction from Exert Advice last changed: October 25, 208 Prediction with Exert Advice Today we ll study the roblem of making redictions

More information

Parallelized Side-Channel Attack Resisted Scalar Multiplication Using q-based Addition-Subtraction k-chains

Parallelized Side-Channel Attack Resisted Scalar Multiplication Using q-based Addition-Subtraction k-chains Parallelized Side-Channel Atta Resisted Salar Multipliation Using -Based Addition-Subtration -hains Kittiphop Phalaarn Department of Computer Engineering Chulalongorn University email: ittiphop.ph@student.hula.a.th

More information

12 th Maths Way to Success

12 th Maths Way to Success th Maths Quarterly Eam-7-Answer Key Part - A Q.No Option Q.No Option Q.No Option Q.No Option 6 6 6 6 7 7 7 7 8 8 8 8 9 9 9 9 Part B. A adj A A adja..() adja A () A I () From (), (),() we get A adja adja

More information

Properties of Space Set Topological Spaces

Properties of Space Set Topological Spaces Filomat :9 (), 75 87 DOI.98/FIL975H Published by Faulty of Sienes and Mathematis, University of Niš, Serbia Available at: htt://www.mf.ni.a.rs/filomat Proerties of Sae Set Toologial Saes Sang-Eon Han a

More information

2. The Energy Principle in Open Channel Flows

2. The Energy Principle in Open Channel Flows . The Energy Priniple in Open Channel Flows. Basi Energy Equation In the one-dimensional analysis of steady open-hannel flow, the energy equation in the form of Bernoulli equation is used. Aording to this

More information

The synergy between the insect-inspired claws and adhesive pads increases the attachment ability on various rough surfaces

The synergy between the insect-inspired claws and adhesive pads increases the attachment ability on various rough surfaces The synergy between the inset-insired laws and adhesive ads inreases the attahment ability on various rough surfaes Yi Song 1, 2, Zhendong Dai 1, Zhouyi Wang 1, Aihong Ji 1 1, 3,*, and Stanislav Gorb 1

More information

Relativity in Classical Physics

Relativity in Classical Physics Relativity in Classial Physis Main Points Introdution Galilean (Newtonian) Relativity Relativity & Eletromagnetism Mihelson-Morley Experiment Introdution The theory of relativity deals with the study of

More information

CORC Report TR : Short Version Optimal Procurement Mechanisms for Divisible Goods with Capacitated Suppliers

CORC Report TR : Short Version Optimal Procurement Mechanisms for Divisible Goods with Capacitated Suppliers CORC Report TR-2006-01: Short Version Optimal Prourement Mehanisms for Divisible Goods with Capaitated Suppliers Garud Iyengar Anuj Kumar First version: June 30, 2006 This version: August 31, 2007 Abstrat

More information

Where as discussed previously we interpret solutions to this partial differential equation in the weak sense: b

Where as discussed previously we interpret solutions to this partial differential equation in the weak sense: b Consider the pure initial value problem for a homogeneous system of onservation laws with no soure terms in one spae dimension: Where as disussed previously we interpret solutions to this partial differential

More information