EconS 503 Advanced Microeconomics II 1 Adverse Selection Handout on Two-part tariffs (Second-degree price discrimination)
|
|
- Winfred O’Connor’
- 6 years ago
- Views:
Transcription
1 EconS 503 Advanced Microeconomics II 1 Adverse Selection Handout on Two-part tariffs (Second-degree price discrimination) 1. Introduction Consider a setting where an uninformed firm is attempting to sell an item to a privately informed customer. The firm s profit function is FF cccc, where cc > 0 represents the firm s marginal costs, and F is the fee paid from the customer to the firm in exchange for q units of the good (price for the package of units, rather than a unit price). The customer s utility function is uu(qq, TT, θθ) = θθ vv(qq) FF, where uu > 0 and uu < 0. Parameter θθ is privately observed by the consumer, and takes on either θθ LL with probability ββ or θθ HH with probability 1 ββ, where θθ HH > θθ LL. 2. Complete Information [2 nd Stage] For a given pair of fee TT ii and quantity qq ii, (TT ii, qq ii ), consumers with valuation θθ ii purchase the good if and only if θθ ii vv(qq ii ) TT ii 0 [1 st Stage] Observing θθ ii (as we are in the complete-information version) and anticipating the buyers decision rule in the second stage, θθ ii vv(qq ii ) TT ii 0, the firm solves the PMP TT ii,qq ii TT ii ccqq ii subject to θθ ii uu(qq ii ) TT ii 0 PP. CC. The participation constraint (P.C.) must bind. Otherwise TT ii can be further increased, thus increasing profits. Hence, θθ ii vv(qq ii ) = TT ii, which simplifies the above problem to the following unconstrained imization problem qq ii θθ ii vv(qq ii ) ccqq ii Taking F.O.C with respect to qq ii, θθ ii vv (qq ii ) cc 0 (= 0 in interior solutions) MV = MC Hence, under complete information, qq ii is increased until the point in which the consumer s marginal utility of additional units coincides with the firm s marginal cost. As we next show, when the firm is uninformed about the customer s type, this result doesn t necesarily arise. 1 Felix Munoz-Garcia, Associate Professor, School of Economic Sciences, Washington State University, Pullman, WA , fmunoz@wsu.edu. 1
2 3. Incomplete Information The firm cannot observe the realization of θθ. The firm could offer contracts of the form (TT(qq), qq), with function TT(qq) being as general as you can imagine. For simplicity, let s consider three types of contracts: Linear pricing: TT(qq) = qq customers pay for every unit they buy. Nonlinear pricing (single two-part tariff for all types of customers) Nonlinear pricing (two two-part tariffs one for each type of customer) 3.1. Linear pricing, TT(qq) = qq [2 nd Stage] Every customer with type θθ ii pays a price p per unit of q purchased, thus obtaining a utility θθ ii uu(qq) for all ii = {HH, LL} In order to imize his utility (for every given p), he increases q until θθ ii uu 1 (qq) = Solving for q, we find θθ ii Walrasian demand qq ii = DD ii () Hence, θθ ii customer s utility is θθ ii uu(dd ii () DD ii () qq ii [1 st Stage] By backward induction, the monopolist anticipates the demand function DD ii () for θθ ii type buyer. Hence, the firm imizes expected profits: qq ii ( cc) [ββ DD LL () + (1 ββ) DD HH ()] Let DD() ββ DD LL () + (1 ββ) DD HH () denote the expected demand, which helps us simplify the above program to ( cc) DD() Taking FOC with respect to p yields Solving for p, we obtain a linear price of DD() + DD () cc = 0 2
3 LLLL = cc DD(LLLL ) DD ( LLLL ) where LLLL > cc if DD ( LLLL ) < 0. Depending on the parameter values, it might be profitable for the seller to only serve θθ HH buyers Single two-part tariff The firm sets a single two-part tariff (FF, ) to both types of customers, and each type of buyer decides to take it or leave it. Fee. From the UMP of each type of consumer, we obtained FOC of θθ ii vv (qq) =. Plotting them on the same figure, we find: $ p θ L v (q) θ H v (q) q L = D L (p) q H = D H (p) q where functions θθ ii vv (qq) are decreasing in qq by the concavity of vv( ), i.e., vv < 0 for all qq. Hence, DD HH () > DD LL (), thus implying that net surpluses, SS ii (), satisfy That is, SS HH () > SS LL (). SS HH () = θθ HH vv[dd HH ()] DD HH () > θθ LL vv[dd LL ()] DD LL () = SS LL () If the firm seeks the participation of both types of customers, we need the fee to satisfy More explicitly: FF SS LL () < SS HH () In the second stage, every customer with type θθ ii purchases the good if and only if FF SS ii (). In the first stage, the firm anticipates the customers decision rule of FF SS ii (), and chooses the single two part tariff that imizes profits. 3
4 Mathematically, (FF,) ββ[ff + ( cc) DD LL ()] + (1 ββ)[ff + ( cc) DD HH ()] = FF + ( cc)[ββ DD LL () + (1 ββ) DD HH ()] DD(), i.e., expected demand subject to FF SS ii () for all ii = {HH, LL} However, the seller can increase FF until FF = SS LL (). Raising it any further would lead the low-type customers to reject the purchase. Plugging FF = SS LL () into the above problem helps us obtain an unconstrained PMP (with only one choice variable, ), as follows SS LL () + ( cc) DD() Taking first-order conditions with respect to yields SS LL () + DD() + ( cc)dd () = 0 Solving for and rearranging, we obtain a price of the single two part tariff, SSSSSSSS, of SSSSSSSS = + cc DD() DD () LLLL, price under linear pricing Where the last term is positive since SS LL () < 0 and DD () < SS LL () DD () + Remark: SS ii () can be found by alying the Envelope Theorem on SS ii () = θθ ii vv[dd ii ()] DD ii () In particular, second-order effects are absent, so that DD ii () is unaffected by a price change. As a consequence Hence, prices in each setting are ranked as follows: The firm then sets a single two-part tariff SS ii () = 0 DD ii () = DD ii () < 0 SSSSSSSS > LLLL > cc (price under perfect competition) (FF, ) = (SS LL ( SSSSSSSS ), SSSSSSSS ) Practice: Considering a demand function DD ii () = θθ ii, where θθ ii = {1,2} and ββ = 1, find the profitimizing two-part 2 tariff.
5 In addition, qq HH = DD HH ( SSSSSSSS ) > DD LL ( SSSSSSSS ) = qq LL. We can depict this two-part tariff in the (FF, )- quadrant, as follows. F S L (p STPT ) + p STPT p STPT F = S L (p STPT ) q L q H q Graphical representation of the indifference curves using the same (FF, )-quadrant: F θ i -type indifference curve Same utility from: -Low F and low q -High F and high q q F IC i ICi Increasing utility 5 q
6 We can now superimpose IIII on top of the two-part tariff, obtaining: F A H IC H S L (p STPT ) + p STPT IC H A L IC L q L q H q Some points about equilibrium behavior in the case of a single two-part tariff that we just analyzed: Customer θθ HH is better off at AA HH than at AA LL Customer θθ LL is better off at AA LL than at AA HH Motivation to move to other contracts (in particular, toward two two-part tariffs, which we analyze in the following section): The seller could do better if he sets a contract that yields point AA HH to θθ HH -buyer (since this buyer is indifferent about accepting the contract meant for him or that of the θθ LL -customer) Several (or menu) two-part tariffs Consider a setting where the monopolist cannot observe the type of each consumer. Rather than offering a uniform price for all types of customers, or a single two-part tariff to all types of customers, the monopolist can design a menu of two-part tariffs, (FF LL, qq LL ) and (FF HH, qq HH ), with the property that the customer with type ii = {LL, HH} has the incentives to self-select the two-part tariff (FF ii, qq ii ) meant for him. In this setting, the monopolist must guarantee that: Both types of customers are willing to participate (i.e., the two-part tariff meant for each type of customer provides him with a weakly positive utility level), and Both types of customers do not have incentives to choose the two-part tariff meant for the other type of customer, that is, type ii customer prefers (FF ii, qq ii ) over (FF jj, qq jj ) where jj ii. 6
7 For compactness, the literature refers to the former conditions as participation constraints, as they guarantee the participation of all types of customers; whereas the latter conditions are referred to as incentive compatibility conditions. In particular, the participation constraints in this context are θθ LL uu(qq LL ) FF LL 0 θθ HH uu(qq HH ) FF HH 0, PPPP LL PPPP HH while the incentive compatibility conditions are θθ LL uu(qq LL ) FF LL θθ LL uu(qq HH ) FF HH θθ HH uu(qq HH ) FF HH θθ HH uu(qq LL ) FF LL IIII LL IIII HH We can rearrange the above four inequalities and insert them as constraints into the monopolist s profit imization problem, as follows: subject to [FF HH ccqq HH ] + (1 )[FF LL ccqq LL ] FF LL,qq LL,FF HH,qq HH θθ LL uu(qq LL ) FF LL θθ HH uu(qq HH ) FF HH θθ LL [uu(qq LL ) uu(qq HH )] + FF HH FF LL θθ HH [uu(qq HH ) uu(qq LL )] + FF LL FF HH Since both PPPP HH and IIII HH are now expressed in terms of the fee FF HH, we can easily see that the monopolist increases FF HH until such fee coincides with the lowest of θθ HH uu(qq HH ) and θθ HH [uu(qq HH ) uu(qq LL )] + FF LL, as depicted in figure 1, for all ii = {LL, HH}. Otherwise, one (or both) constraints will be violated, leading the high-demand customer to not participate (and/or select the two-part tariff meant for the low-demand customer). We examine this result more closely in the next discussion. Maximal F i that achives participation and self-selection PC i is binding θ i u(q i ) θ i [u(q i )- u(q j )] + F j F i Maximal F i that achives participation and self-selection IC i is binding θ i [u(q i )- u(q j )] + F j θ i u(q i ) F i 7
8 Figure 1 PC condition binds (uer panel) and IC condition binds (lower panel) High-demand customer. Let us first focus on the high-demand consumer and show that IIII HH is binding, (the lower panel of figure 1 arises for this type of customer). Proof. An indirect way to show that IIII HH binds, i.e., FF HH = θθ HH [uu(qq HH ) uu(qq LL )] + FF LL, is to demonstrate that FF HH < θθ HH uu(qq HH ) (i.e., as depicted be in the lower panel of Figure 1). By contradiction, consider that FF HH = θθ HH uu(qq HH ). If this condition holds, then IIII HH can be rewritten as FF HH θθ HH uu(qq LL ) + FF LL FF HH, which simplifies to FF LL θθ HH uu(qq LL ) In addition, we can combine this result with the property that θθ HH > θθ LL to obtain FF LL θθ HH uu(qq LL ) > θθ LL uu(qq LL ) That is, FF LL > θθ LL uu(qq LL ). This finding, however, violates the participation constraint of the low-demand customer, PPPP LL, indicating that we have reached a contradiction and, therefore, FF HH < θθ HH uu(qq HH ) (i.e., PPPP HH is not binding). Thus, IIII HH is binding but PPPP HH is not, confirming that for the high-demand customer the lower panel of Figure 1 alies (i.e., FF HH = θθ HH [uu(qq HH ) uu(qq LL )] + FF LL ). Q.E.D. Low-demand customer. Let us now use a similar aroach to show that the top panel of Figure 1 arises for the low-demand customer (i.e., PPPP LL binds since FF LL = θθ LL uu(qq LL )). Proof. Similarly as for high-demand customers, we can prove this result by instead showing that FF LL < θθ LL [uu(qq LL ) uu(qq HH )] + FF HH holds. Proving this result by contradiction, assume that FF LL = θθ LL [uu(qq LL ) uu(qq HH )] + FF HH. Plugging this expression into IIII HH (which binds, as shown in our discussion of the highdemand customer), we obtain This expression simplifies to θθ HH [uu(qq HH ) uu(qq LL )] + θθ LL [uu(qq LL ) uu(qq HH )] + FF HH = FF HH, θθ HH [uu(qq HH ) uu(qq LL )] = θθ LL [uu(qq LL ) uu(qq HH )] and ultimately reduces to θθ HH = θθ LL, violating the initial assumption θθ HH > θθ LL. Therefore, FF LL = θθ LL [uu(qq LL ) uu(qq HH )] + FF HH cannot hold, but instead FF LL < θθ LL [uu(qq LL ) uu(qq HH )] + FF HH must be true. As a consequence, the top panel of Figure 1 alies for the low-demand customer, ultimately implying that PPPP LL binds while IIII LL does not. Q.E.D. Summarizing, from the high-demand customer we have that θθ HH [uu(qq HH ) uu(qq LL )] + FF LL = FF HH whereas from the low-demand customer we obtained that θθ LL uu(qq LL ) = FF LL. We can now plug this information about FF HH and FF LL into the monopolist s expected PMP, which now becomes an unconstrained imization problem, as follows: qq LL,qq HH 0 [FF HH ccqq HH ] + (1 )[FF LL ccqq LL ] 8
9 = θθ HH [uu(qq HH ) uu(qq LL )] + FF LL ccqq HH + (1 ) θθ LL uu(qq LL ) FF HH FF LL ccqq LL which ultimately simplifies to = θθ HH [uu(qq HH ) uu(qq LL )] + θθ LL uu(qq LL ) FF LL ccqq HH + (1 )[θθ LL uu(qq LL ) ccqq LL ] = [θθ HH uu(qq HH ) (θθ HH θθ LL )uu(qq LL ) ccqq HH ] + (1 )[θθ LL uu(qq LL ) ccqq LL ] Importantly, constraint PPPP LL binding implies that IIII LL also holds (recall the lower panel of Figure 1), and constraint IIII HH binding entails that PPPP HH is also satisfied. In other words, all four constraints hold. Taking first-order conditions with respect to qq HH yields [θθ HH uu (qq HH ) cc] = 0, or θθ HH uu (qq HH ) = cc, Therefore, the amount offered to high-demand customers, qq HH, is socially efficient (their demand coincides with marginal cost). As we discuss next, such efficient outcome does not arise for low-demand customers. In particular, taking first-order conditions with respect to qq LL we obtain which can be rewritten as and further simplified to [ (θθ HH θθ LL )uu (qq LL )] + (1 )[θθ LL uu (qq LL ) cc] = 0, uu (qq LL )[(1 )θθ LL (θθ HH θθ LL )] = (1 )cc uu (qq LL )[θθ LL θθ HH ] = (1 )cc Dividing both sides by (1 ), we obtain uu (qq LL ) θθ LL θθ HH = cc 1 Note that this expression can alternatively be written as 2 uu (qq LL ) θθ LL 1 (θθ HH θθ LL ) = cc Figure 2 separately depicts the left- and right-hand side of the last expression. For comparison purposes, it also plots uu (qq LL ) θθ LL, which helps identify the socially optimal output qq LL ssss (i.e., that arising under complete information). 2 In order to find an expression in which θθ LL stands alone inside the parenthesis, we set up the equation θθ LL θθ HH = θθ LL xx. Solving for the unknown xx, yields 1 (θθ HH θθ LL ). 9 1
10 c u'(q L ) θ L u'(q L ) [θ L p 1 p (θθ HH θθ LL )] q L q L SO q Figure 2 Output for the low-demand customer Summarizing, the amount offered to high-demand customers is socially efficient (recall that θθ HH uu (qq HH ) = cc). In other words, qq HH = qq HH ssss, and there is no output distortion for high-demand customers relative to complete information allocations. That is a common finding in principal-agent models where the principal (in this case the monopolist) cannot observe the private type of the agent (in this case the consumer). In contrast, the output offered to low-demand customers entails a distortion relative to complete information, qq LL < qq LL ssss, as depicted in Figure 2. Furthermore, this output distortion qq LL ssss qq LL is increasing in term 1 (θθ HH θθ LL ). Specifically, it increases in the frequency of high-type buyers,, and on the difference between high- and low-type buyers, (θθ HH θθ LL ). In addition, the fact that constraint PPPP LL binds while PPPP HH does not, entails that only the high-demand customer retains a positive utility level, i.e., θθ HH uu(qq HH ) FF HH > 0. In other words, the firm s lack of information provides the high-demand customer with an information rent. Intuitively, this information rent emerges from the seller s attempt to reduce the incentives of the high-type customer to select the contract meant for the low type. In particular, while the low-demand buyer pays a lower fee, the output that he receives is sufficiently low to make it unattractive for the high-demand buyer, qq LL < qq LL ssss. In other words, the output distortion qq LL ssss qq LL that we described above stems from the seller s purpose to reduce the information rent of the high-type buyer. Example. Consider a monopolist selling a textbook to two types of graduate students, low- and highdemand, with utility function UU ii (qq ii, FF ii ) = θθ ii qq ii qq ii 2 FF 2θθ ii, ii 10
11 where ii = {LL, HH} and θθ HH > θθ LL. In this context, we obtain the direct demand function qq ii = θθ ii. In addition, assume that the proportion of high-demand (low-demand) students is γγ (1 γγ, respectively). The monopolist s constant marginal cost is cc > 0, which satisfies θθ ii > cc for all ii = {LL, HH}. Consider for simplicity that θθ LL > θθ HH+cc, which implies that each type of student would buy the textbook, both when the 2 firm practices uniform pricing and when it sets two-part tariffs (as we next show). Uniform pricing. Consider first that the monopolist does not practice price discrimination (i.e., it sets a uniform price that induces both types of customers to purchase positive units). In this setting, the monopolist sets a unique price p that solves the expected PMP γγ[( cc)(θθ LL )] + (1 γγ)[( cc)(θθ HH )], where qq ii = θθ ii for every type-i customer. Taking first-order conditions with respect to yields γγ(θθ LL ) γγ( cc) + (1 γγ)(θθ HH ) (1 γγ)( cc) = 0 And solving for p we obtain the uniform price which yields monopoly profits of UUUUUUUUUUUUUU = γγθθ LL + (1 γγ)θθ HH + cc, 2 ππ UUUUUUUUUUUUUU = [γγθθ LL + (1 γγ)θθ HH cc] 2 4 Note that the monopolist could use a uniform price to only serve high-demand students. The price that would imize its profits in this case solves (1 γγ)( cc)(θθ HH ) thus ignoring the segment of low-demand students. Taking first-order conditions with respect to and solving for yields HH = θθ HH+cc. In this context, monopoly profits become 2 ππ UUUUUUUUUUUUUU HH = (1 γγ) (θθ HH cc) 2, 4 which are larger than those when serving both types of students (i.e., ππ UUUUUUUUUUUUUU HH > ππ UUUUUUUUUUUUUU ) if the proportion of low-demand customers, γγ, is sufficiently small, that is, γγ < (θθ HH cc)(θθ HH 2θθ LL + cc) (θθ HH θθ LL ) 2. Intuitively, the frequency of high-value customers is large, thus inducing the seller ignore low-value customers to focus on high-value customers alone. For instance, parameter values θθ HH = 5, θθ LL = 2, cc = 1 and γγ = 3 satisfy this condition since 4 γγ < (θθ HH cc)(θθ HH 2θθ LL + cc) (θθ HH θθ LL ) 2 = (5 1)( ) (5 2) 2 =
12 Otherwise, if γγ > , the proportion of low-value customers is large enough to induce the seller to 9 not ignore this type of buyers, and thus serve both types. Two-part tariffs. Let us now consider that the monopolist offers a menu of two-part tariffs to each type of student (i.e., (FF LL, qq LL ) and (FF HH, qq HH )). From the previous discussion, we know that IIII HH and PPPP LL bind. Therefore, FF LL = θθ LL qq LL qq LL 2 and FF 2θθ HH = θθ HH qq HH qq 2 HH qq LL 2θθ LL qq 2 LL + θθ HH 2θθ LL qq LL qq LL LL Hence, the monopolist s PMP becomes γγ[ff HH ccqq HH ] + (1 γγ)[ff LL ccqq LL ] qq LL,qq HH θθ LL = γγ θθ HH qq HH qq HH 2 qq 2θθ LL qq 2 LL + θθ HH 2θθ LL qq LL qq 2 LL ccqq LL 2θθ HH + (1 γγ) θθ LL qq LL qq LL 2 LL 2θθ LL FF HH FF LL = θθ HH γγ qq HH qq HH 2 + (θθ 2θθ LL θθ HH γγ) qq LL qq 2 LL ccccqq HH 2θθ HH cc(1 γγ)qq LL LL Taking first-order conditions with respect to qq HH and qq LL yields γγθθ HH 1 qq HH θθ HH = cccc qq HH = θθ HH cc (θθ LL θθ HH γγ) 1 qq LL θθ LL = cc(1 γγ) qq LL = θθ LL cc θθ LL(1 γγ) (θθ LL θθ HH γγ) = θθ LL cc 1 γγ 1 θθ, HH γγ θθll ccqq LL which are both positive since θθ LL > cc 1 γγ, given that θθ 1 θθ HH HH > cc by definition. On the other hand, socially γγ θθ LL optimal outputs can be solved by setting marginal utility equals to marginal cost (i.e., uu ii (qq ii ) = θθ ii 1 qq ii = cc), thus yielding qq SSSS θθ HH = θθ HH cc and qq SSSS LL = θθ LL cc. ii We can then compare qq ii against qq ii SSSS for every type-i customer obtaining that qq HH = qq HH SSSS, and that qq LL < qq LL SSSS, since θθ LL cc 1 γγ 1 θθ HH θθll γγ < θθ LL cc This reduces to 1 γγ > 1 θθ HH θθ LL γγ, which is true given that θθ HH > θθ LL by definition. The monopolist can obtain larger profits by practicing second-degree price discrimination (two-part tariffs) than by setting a uniform price (either to attract both or only one type of customer). Using the same parameter values as under uniform pricing, θθ HH = 5, θθ LL = 2, cc = 1 and γγ = 3 4, we obtain we obtain output levels qq HH = 4, 12
13 qq LL = 16, and fees of FF 7 HH = and FF 49 LL = As a consequence, expected profits from twopart tariffs 49 are In contrast, those under uniform pricing become ππ TTTTTT = γγ[ff HH ccqq HH ] + (1 γγ)[ff LL ccqq LL ] = ππ UUUUUUUUUUUUUU = [γγθθ LL+(1 γγ)θθ HH cc] 2 4 = , and 64 ππ UUUUUUUUUUUUUU HH = (1 γγ) (θθ HH cc) 2 = 1 4 Hence, practicing two-part tariffs is profit-enhancing for the monopolist since ππ TTTTTT > ππ UUUUUUUUUUUUUU HH > ππ UUUUUUUUUUUUUU. 13
Advanced Microeconomic Theory. Chapter 10: Contract Theory
Advanced Microeconomic Theory Chapter 10: Contract Theory Outline Moral Hazard Moral Hazard with a Continuum of Effort Levels The First-Order Approach Moral Hazard with Multiple Signals Adverse Selection
More informationEconS 424- Strategy and Game Theory Reputation and Incomplete information in a public good project How to nd Semi-separating equilibria?
EconS 424- Strategy and Game Theory Reputation and Incomplete information in a public good project How to nd Semi-separating equilibria? April 14, 2014 1 A public good game Let us consider the following
More informationR&D Incentives in an Upstream-Downstream Structure
Discussion Paper ERU/20 04 October, 20 R&D Incentives in an Upstream-Downstream Structure By Tarun Kabiraj a Indian Statistical Institute and Mouli Modak b Purdue University (October 20) --------------------------------------------------
More informationBackward Induction and Stackelberg Competition
Backward Induction and Stackelberg Competition Economics 302 - Microeconomic Theory II: Strategic Behavior Shih En Lu Simon Fraser University (with thanks to Anke Kessler) ECON 302 (SFU) Backward Induction
More informationEconS Representation of Games and Strategies
EconS 424 - Representation of Games and Strategies Félix Muñoz-García Washington State University fmunoz@wsu.edu January 27, 2014 Félix Muñoz-García (WSU) EconS 424 - Recitation 1 January 27, 2014 1 /
More informationBargaining games. Felix Munoz-Garcia. EconS Strategy and Game Theory Washington State University
Bargaining games Felix Munoz-Garcia EconS 424 - Strategy and Game Theory Washington State University Bargaining Games Bargaining is prevalent in many economic situations where two or more parties negotiate
More informationEconS Backward Induction and Subgame Perfection
EconS 424 - Backward Induction and Subgame Perfection Félix Muñoz-García Washington State University fmunoz@wsu.edu March 24, 24 Félix Muñoz-García (WSU) EconS 424 - Recitation 5 March 24, 24 / 48 Watson,
More informationEE3079 Experiment: Chaos in nonlinear systems
EE3079 Experiment: Chaos in nonlinear systems Background: November 2, 2016 Revision The theory of nonlinear dynamical systems and Chaos is an intriguing area of mathematics that has received considerable
More informationHomework Assignment Consider the circuit shown. Assume ideal op-amp behavior. Which statement below is true?
Question 1 (2 points each unless noted otherwise) Homework Assignment 03 1. Consider the circuit shown. Assume ideal op-amp behavior. Which statement below is true? (a) V = VV + = 5 V (op-amp operation)
More informationChapter 19: Profit Maximization Problem
Econ 23 Microeconomic Analysis Chapter 19: Profit Maximization Problem Instructor: Hiroki Watanabe Fall 2012 Watanabe Econ 23 19 PMP 1 / 90 1 Introduction 2 Short-Run Profit Maximization Problem 3 Comparative
More informationSummary Overview of Topics in Econ 30200b: Decision theory: strong and weak domination by randomized strategies, domination theorem, expected utility
Summary Overview of Topics in Econ 30200b: Decision theory: strong and weak domination by randomized strategies, domination theorem, expected utility theorem (consistent decisions under uncertainty should
More informationAutomatic Control Motion control Advanced control techniques
Automatic Control Motion control Advanced control techniques (luca.bascetta@polimi.it) Politecnico di Milano Dipartimento di Elettronica, Informazione e Bioingegneria Motivations (I) 2 Besides the classical
More informationCurrent Mirrors. Current Source and Sink, Small Signal and Large Signal Analysis of MOS. Knowledge of Various kinds of Current Mirrors
Motivation Current Mirrors Current sources have many important applications in analog design. For example, some digital-to-analog converters employ an array of current sources to produce an analog output
More informationStrategic Bargaining. This is page 1 Printer: Opaq
16 This is page 1 Printer: Opaq Strategic Bargaining The strength of the framework we have developed so far, be it normal form or extensive form games, is that almost any well structured game can be presented
More informationT.3 Evaluation of Trigonometric Functions
415 T.3 Evaluation of Trigonometric Functions In the previous section, we defined sine, cosine, and tangent as functions of real angles. In this section, we will take interest in finding values of these
More informationECON 301: Game Theory 1. Intermediate Microeconomics II, ECON 301. Game Theory: An Introduction & Some Applications
ECON 301: Game Theory 1 Intermediate Microeconomics II, ECON 301 Game Theory: An Introduction & Some Applications You have been introduced briefly regarding how firms within an Oligopoly interacts strategically
More informationMicroeconomics of Banking: Lecture 4
Microeconomics of Banking: Lecture 4 Prof. Ronaldo CARPIO Oct. 16, 2015 Administrative Stuff Homework 1 is due today at the end of class. I will upload the solutions and Homework 2 (due in two weeks) later
More informationPACKAGE LICENSES IN PATENT POOLS *
Kobe University Economic Review 57 (2011) 39 PACKAGE LICENSES IN PATENT POOLS * By KENJI AZETSU and SEIJI YAMADA Patent pools are organizations where patent holders concentrate their own patents and offer
More informationMicroeconomics II Lecture 2: Backward induction and subgame perfection Karl Wärneryd Stockholm School of Economics November 2016
Microeconomics II Lecture 2: Backward induction and subgame perfection Karl Wärneryd Stockholm School of Economics November 2016 1 Games in extensive form So far, we have only considered games where players
More informationCHAPTER LEARNING OUTCOMES. By the end of this section, students will be able to:
CHAPTER 4 4.1 LEARNING OUTCOMES By the end of this section, students will be able to: Understand what is meant by a Bayesian Nash Equilibrium (BNE) Calculate the BNE in a Cournot game with incomplete information
More informationIntroduction to Industrial Organization Professor: Caixia Shen Fall 2014 Lecture Note 6 Games and Strategy (ch.4)-continue
Introduction to Industrial Organization Professor: Caixia Shen Fall 014 Lecture Note 6 Games and Strategy (ch.4)-continue Outline: Modeling by means of games Normal form games Dominant strategies; dominated
More informationTHEORY: NASH EQUILIBRIUM
THEORY: NASH EQUILIBRIUM 1 The Story Prisoner s Dilemma Two prisoners held in separate rooms. Authorities offer a reduced sentence to each prisoner if he rats out his friend. If a prisoner is ratted out
More informationU strictly dominates D for player A, and L strictly dominates R for player B. This leaves (U, L) as a Strict Dominant Strategy Equilibrium.
Problem Set 3 (Game Theory) Do five of nine. 1. Games in Strategic Form Underline all best responses, then perform iterated deletion of strictly dominated strategies. In each case, do you get a unique
More informationGame Theory -- Lecture 6. Patrick Loiseau EURECOM Fall 2016
Game Theory -- Lecture 6 Patrick Loiseau EURECOM Fall 06 Outline. Stackelberg duopoly and the first mover s advantage. Formal definitions 3. Bargaining and discounted payoffs Outline. Stackelberg duopoly
More informationGame Theory Refresher. Muriel Niederle. February 3, A set of players (here for simplicity only 2 players, all generalized to N players).
Game Theory Refresher Muriel Niederle February 3, 2009 1. Definition of a Game We start by rst de ning what a game is. A game consists of: A set of players (here for simplicity only 2 players, all generalized
More informationEcon 410: Micro Theory. Recall from last time. Production: Two Variable Inputs. Production: Two Variable Inputs
Slide Slide Econ 0: Micro Theory Production with Multiple Variable Inputs Monday, October 9 th, 007 When both types of inputs become variable, the same amount of output can be produced with different amounts
More informationMechanism Design without Money II: House Allocation, Kidney Exchange, Stable Matching
Algorithmic Game Theory Summer 2016, Week 8 Mechanism Design without Money II: House Allocation, Kidney Exchange, Stable Matching ETH Zürich Peter Widmayer, Paul Dütting Looking at the past few lectures
More informationOn Patent Licensing in Spatial Competition
Department of Economics Working Paper No. 01 http://www.fas.nus.edu.sg/ecs/pub/wp/wp01.pdf On Patent Licensing in Spatial Competition Sougata Poddar National University of Singapore Uday hanu Sinha Indian
More informationUniversity of Portland EE 271 Electrical Circuits Laboratory. Experiment: Inductors
University of Portland EE 271 Electrical Circuits Laboratory Experiment: Inductors I. Objective The objective of this experiment is to verify the relationship between voltage and current in an inductor,
More informationRepeated Games. Economics Microeconomic Theory II: Strategic Behavior. Shih En Lu. Simon Fraser University (with thanks to Anke Kessler)
Repeated Games Economics 302 - Microeconomic Theory II: Strategic Behavior Shih En Lu Simon Fraser University (with thanks to Anke Kessler) ECON 302 (SFU) Repeated Games 1 / 25 Topics 1 Information Sets
More informationECON 312: Games and Strategy 1. Industrial Organization Games and Strategy
ECON 312: Games and Strategy 1 Industrial Organization Games and Strategy A Game is a stylized model that depicts situation of strategic behavior, where the payoff for one agent depends on its own actions
More informationSolutions to the problems from Written assignment 2 Math 222 Winter 2015
Solutions to the problems from Written assignment 2 Math 222 Winter 2015 1. Determine if the following limits exist, and if a limit exists, find its value. x2 y (a) The limit of f(x, y) = x 4 as (x, y)
More informationANGLE MODULATION. U1. PHASE AND FREQUENCY MODULATION For angle modulation, the modulated carrier is represented by
[4.1] ANGLE MODULATION U1. PHASE AND FREQUENCY MODULATION For angle modulation, the modulated carrier is represented by xx cc (tt) = AA cccccc[ωω cc tt + φφ(tt)] (1.1) Where A ω c are constants the phase
More informationAnalysis and Comparison of Speed Control of DC Motor using Sliding Mode Control and Linear Quadratic Regulator
ISSN: 2349-253 Analysis and Comparison of Speed Control of DC Motor using Sliding Mode Control and Linear Quadratic Regulator 1 Satyabrata Sahoo 2 Gayadhar Panda 1 (Asst. Professor, Department of Electrical
More information2. MANAGERIAL ECONOMICS
Subject Paper No and Title Module No and Title Module Tag 2. MANAGERIAL ECONOMICS 15. PRODUCER S EQUILIBRIUM COM_P2_M15 TABLE OF CONTENTS 1. Learning Outcomes 2. Introduction 3. Isoquants 4. Properties
More informationUnionization, Innovation, and Licensing. Abstract
Unionization Innovation and Licensing Arijit Mukherjee School of Business and Economics Loughborough University UK. Leonard F.S. Wang Department of Applied Economics National University of Kaohsiung and
More informationNotes for Recitation 3
6.042/18.062J Mathematics for Computer Science September 17, 2010 Tom Leighton, Marten van Dijk Notes for Recitation 3 1 State Machines Recall from Lecture 3 (9/16) that an invariant is a property of a
More informationRemoving Oscilloscope Noise from RMS Jitter Measurements
TECHNICAL NOTE Removing Oscilloscope Noise from RMS Jitter Measurements NOTE-5, Version 1 (July 26, 217) by Gary Giust, Ph.D. JitterLabs, Milpitas, CA, https://www.jitterlabs.com with Appendix by Frank
More informationStrategic Manipulation in Tournament Games
Strategic Manipulation in Tournament Games Allen I.K. Vong September 30, 2016 Abstract I consider the strategic manipulation problem in multistage tournaments. In each stage, players are sorted into groups
More informationECE 421 Introduction to Signal Processing Project 1 - Solutions
1. (10 credits) Given, xx oooo (tt) = cos (2ππFF cc tt) xx iiii (tt) = cos (2ππππππ) ECE 421 Introduction to Signal Processing Project 1 - Solutions Dror Baron, Spring 2017 The AM modulated output satisfies,
More informationT.2 Trigonometric Ratios of an Acute Angle and of Any Angle
408 T.2 Trigonometric Ratios of an Acute Angle and of Any Angle angle of reference Generally, trigonometry studies ratios between sides in right angle triangles. When working with right triangles, it is
More information37 Game Theory. Bebe b1 b2 b3. a Abe a a A Two-Person Zero-Sum Game
37 Game Theory Game theory is one of the most interesting topics of discrete mathematics. The principal theorem of game theory is sublime and wonderful. We will merely assume this theorem and use it to
More informationLEIBNIZ INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION
3.2.1 INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION Alexei cares about his exam grade and his free time. We have seen that his preferences can be represented graphically using indifference
More informationResource Allocation and Decision Analysis (ECON 8010) Spring 2014 Foundations of Game Theory
Resource Allocation and Decision Analysis (ECON 8) Spring 4 Foundations of Game Theory Reading: Game Theory (ECON 8 Coursepak, Page 95) Definitions and Concepts: Game Theory study of decision making settings
More informationAn Introduction to Computable General Equilibrium Modeling
An Introduction to Computable General Equilibrium Modeling Selim Raihan Professor Department of Economics, University of Dhaka And, Executive Director, SANEM Presented at the ARTNeT-GIZ Capacity Building
More informationINTRO TO APPLIED MATH LINEAR AND INTEGER OPTIMIZATION MA 325, SPRING 2018 DÁVID PAPP
INTRO TO APPLIED MATH LINEAR AND INTEGER OPTIMIZATION MA 325, SPRING 2018 DÁVID PAPP THE FORMALITIES Basic info: Me: Dr. Dávid Papp dpapp@ncsu.edu SAS 3222 (Math dept) Textbook: none. One homework assignment
More informationHow to divide things fairly
MPRA Munich Personal RePEc Archive How to divide things fairly Steven Brams and D. Marc Kilgour and Christian Klamler New York University, Wilfrid Laurier University, University of Graz 6. September 2014
More informationState Trading Companies, Time Inconsistency, Imperfect Enforceability and Reputation
State Trading Companies, Time Inconsistency, Imperfect Enforceability and Reputation Tigran A. Melkonian and S.R. Johnson Working Paper 98-WP 192 April 1998 Center for Agricultural and Rural Development
More informationGame Theory and Algorithms Lecture 3: Weak Dominance and Truthfulness
Game Theory and Algorithms Lecture 3: Weak Dominance and Truthfulness March 1, 2011 Summary: We introduce the notion of a (weakly) dominant strategy: one which is always a best response, no matter what
More informationGame Theory and Economics of Contracts Lecture 4 Basics in Game Theory (2)
Game Theory and Economics of Contracts Lecture 4 Basics in Game Theory (2) Yu (Larry) Chen School of Economics, Nanjing University Fall 2015 Extensive Form Game I It uses game tree to represent the games.
More informationGrade 8 Module 3 Lessons 1 14
Eureka Math 2015 2016 Grade 8 Module 3 Lessons 1 14 Eureka Math, A Story of R a t i o s Published by the non-profit Great Minds. Copyright 2015 Great Minds. No part of this work may be reproduced, distributed,
More informationFinite games: finite number of players, finite number of possible actions, finite number of moves. Canusegametreetodepicttheextensiveform.
A game is a formal representation of a situation in which individuals interact in a setting of strategic interdependence. Strategic interdependence each individual s utility depends not only on his own
More informationIf You Give A Mouse A Letter He ll Want The Whole Alphabet By
If You Give A Mouse A Letter He ll Want The Whole Alphabet By a TeachWithMe.com A If you give a mouse an A he will want a Bb. AAAA aaaa B If you give a mouse an B he will want a Cc. BBBB bbbb C If you
More informationG.2 Slope of a Line and Its Interpretation
G.2 Slope of a Line and Its Interpretation Slope Slope (steepness) is a very important concept that appears in many branches of mathematics as well as statistics, physics, business, and other areas. In
More informationChapter 30: Game Theory
Chapter 30: Game Theory 30.1: Introduction We have now covered the two extremes perfect competition and monopoly/monopsony. In the first of these all agents are so small (or think that they are so small)
More informationInputs and the Production Function
Chapter 6 ecture Slides Inputs and the Production Function Inputs (factors of production) are resources, such as labor, capital equipment, and raw materials, that are combined to produce finished goods.
More informationRevised Course Outlines & Pattern of Examinations in the subject of Economics for BA/B.Sc. w.e.f. 1 st Annual Examinations 2018 & onwards
Annexure - 1 Revised Course Outlines & Pattern of Examinations in the subject of Economics for BA/B.Sc. w.e.f. 1 st Annual Examinations 2018 & onwards Paper A: Microeconomics &Basic Mathematical Economics
More informationA GRAPH THEORETICAL APPROACH TO SOLVING SCRAMBLE SQUARES PUZZLES. 1. Introduction
GRPH THEORETICL PPROCH TO SOLVING SCRMLE SQURES PUZZLES SRH MSON ND MLI ZHNG bstract. Scramble Squares puzzle is made up of nine square pieces such that each edge of each piece contains half of an image.
More informationGLOBAL EDITION. Introduction to Agricultural Economics SIXTH EDITION. John B. Penson, Jr. Oral Capps, Jr. C. Parr Rosson III Richard T.
GLOL EDITION Penson, Jr. Capps, Jr. Rosson III Woodward Introduction to gricultural Economics SIXTH EDITION John. Penson, Jr. Oral Capps, Jr. C. Parr Rosson III Richard T. Woodward economics of input
More informationGame Theory ( nd term) Dr. S. Farshad Fatemi. Graduate School of Management and Economics Sharif University of Technology.
Game Theory 44812 (1393-94 2 nd term) Dr. S. Farshad Fatemi Graduate School of Management and Economics Sharif University of Technology Spring 2015 Dr. S. Farshad Fatemi (GSME) Game Theory Spring 2015
More informationWhen the Threat is Stronger than the Execution: Trade Liberalization and Welfare under Oligopoly
When the Threat is Stronger than the Execution: Trade Liberalization and Welfare under Oligopoly Dermot Leahy Maynooth University J. Peter Neary Oxford, CEPR and CESifo ESEM 2016, Geneva August 24, 2016
More informationx12 GAZEBO ASSEMBLY INSTRUCTIONS
adlonco@hotmail.com 30 10 x1 GAZEBO ASSEMBLY INSTRUCTIONS Assembly with more than one person recommended 0 ZZZ-0.30.100-1.GP.EN.HER.doc Before you assemble the Gazebo It is important that this gazebo be
More informationCutting a Pie Is Not a Piece of Cake
Cutting a Pie Is Not a Piece of Cake Julius B. Barbanel Department of Mathematics Union College Schenectady, NY 12308 barbanej@union.edu Steven J. Brams Department of Politics New York University New York,
More informationBehavioral Strategies in Zero-Sum Games in Extensive Form
Behavioral Strategies in Zero-Sum Games in Extensive Form Ponssard, J.-P. IIASA Working Paper WP-74-007 974 Ponssard, J.-P. (974) Behavioral Strategies in Zero-Sum Games in Extensive Form. IIASA Working
More informationConstructions of Coverings of the Integers: Exploring an Erdős Problem
Constructions of Coverings of the Integers: Exploring an Erdős Problem Kelly Bickel, Michael Firrisa, Juan Ortiz, and Kristen Pueschel August 20, 2008 Abstract In this paper, we study necessary conditions
More informationStudent s Copy. Geometry Unit 2. Similarity, Proof, and Trigonometry. Eureka Math. Eureka Math
Student s Copy Geometry Unit 2 Similarity, Proof, and Trigonometry Eureka Math Eureka Math Lesson 1 Lesson 1: Scale Drawings Triangle AAAAAA is provided below, and one side of scale drawing AA BB CC is
More informationDynamic Games: Backward Induction and Subgame Perfection
Dynamic Games: Backward Induction and Subgame Perfection Carlos Hurtado Department of Economics University of Illinois at Urbana-Champaign hrtdmrt2@illinois.edu Jun 22th, 2017 C. Hurtado (UIUC - Economics)
More informationEfficiency of Electric Power Utilities Using Data Envelopment Analysis: An Application to Practical Comprehension
Efficiency of Electric Power Utilities Using Data Envelopment Analysis: An Application to Practical Comprehension Katsumi Nishimori, Kazuki Sakuragi Tottori University, Japan nisimori@ele.tottori-u.ac.jp
More informationx16 GAZEBO ASSEMBLY INSTRUCTIONS
adlonco@hotmail.com 36-3 1 x16 GAZEBO ASSEMBLY INSTRUCTIONS Two or more adults required for assembly 0 ZZZ-05.36-3.117-15.GP.EN.HER.doc Before you assemble the Gazebo It is important that this gazebo be
More informationExtensive-Form Correlated Equilibrium: Definition and Computational Complexity
MATHEMATICS OF OPERATIONS RESEARCH Vol. 33, No. 4, November 8, pp. issn 364-765X eissn 56-547 8 334 informs doi.87/moor.8.34 8 INFORMS Extensive-Form Correlated Equilibrium: Definition and Computational
More information1\2 L m R M 2, 2 1, 1 0, 0 B 1, 0 0, 0 1, 1
Chapter 1 Introduction Game Theory is a misnomer for Multiperson Decision Theory. It develops tools, methods, and language that allow a coherent analysis of the decision-making processes when there are
More informationLECTURE 19 - LAGRANGE MULTIPLIERS
LECTURE 9 - LAGRANGE MULTIPLIERS CHRIS JOHNSON Abstract. In this lecture we ll describe a way of solving certain optimization problems subject to constraints. This method, known as Lagrange multipliers,
More informationGame Theory two-person, zero-sum games
GAME THEORY Game Theory Mathematical theory that deals with the general features of competitive situations. Examples: parlor games, military battles, political campaigns, advertising and marketing campaigns,
More informationMath 32, October 22 & 27: Maxima & Minima
Math 32, October 22 & 27: Maxima & Minima Section 1: Critical Points Just as in the single variable case, for multivariate functions we are often interested in determining extreme values of the function.
More informationBargaining Games. An Application of Sequential Move Games
Bargaining Games An Application of Sequential Move Games The Bargaining Problem The Bargaining Problem arises in economic situations where there are gains from trade, for example, when a buyer values an
More informationGames. Episode 6 Part III: Dynamics. Baochun Li Professor Department of Electrical and Computer Engineering University of Toronto
Games Episode 6 Part III: Dynamics Baochun Li Professor Department of Electrical and Computer Engineering University of Toronto Dynamics Motivation for a new chapter 2 Dynamics Motivation for a new chapter
More informationGame Theory. Wolfgang Frimmel. Dominance
Game Theory Wolfgang Frimmel Dominance 1 / 13 Example: Prisoners dilemma Consider the following game in normal-form: There are two players who both have the options cooperate (C) and defect (D) Both players
More information2. Basic Control Concepts
2. Basic Concepts 2.1 Signals and systems 2.2 Block diagrams 2.3 From flow sheet to block diagram 2.4 strategies 2.4.1 Open-loop control 2.4.2 Feedforward control 2.4.3 Feedback control 2.5 Feedback control
More informationx16 GAZEBO ASSEMBLY INSTRUCTIONS
36 1 x16 GAZEBO ASSEMBLY INSTRUCTIONS Assembly with more than one person recommended 0 L:\WP51\Instructions\SOLARIUMS INSTRUCTION BOOKS\36\ZZZ-05.36.0810-1.GP.EN.doc Step 1: Assemble beams A and B using
More informationDominance Solvable Games
Dominance Solvable Games Felix Munoz-Garcia EconS 424 - Strategy and Game Theory Washington State University Solution Concepts The rst solution concept we will introduce is that of deleting dominated strategies.
More informationCompetitive Resource Allocation in HetNets: the Impact of Small-cell Spectrum Constraints and Investment Costs
Competitive Resource Allocation in HetNets: the Impact of mall-cell pectrum Constraints and Investment Costs Cheng Chen, Member, IEEE, Randall A. Berry, Fellow, IEEE, Michael L. Honig, Fellow, IEEE, and
More informationSolution Concepts 4 Nash equilibrium in mixed strategies
Solution Concepts 4 Nash equilibrium in mixed strategies Watson 11, pages 123-128 Bruno Salcedo The Pennsylvania State University Econ 402 Summer 2012 Mixing strategies In a strictly competitive situation
More informationx12 GAZEBO ASSEMBLY INSTRUCTIONS
30 10 x1 GAZEBO ASSEMBLY INSTRUCTIONS Assembly with more than one person recommended 0 L:\WP51\Instructions\SOLARIUMS INSTRUCTION BOOKS\30\ZZZ-0.30.0807-1.GP.EN.doc Step 1: Assemble beams A and B using
More informationEE434 ASIC & Digital Systems
EE434 ASIC & Digital Systems Partha Pande School of EECS Washington State University pande@eecs.wsu.edu Spring 2015 Dae Hyun Kim daehyun@eecs.wsu.edu 1 Lecture 4 More on CMOS Gates Ref: Textbook chapter
More information3. Simultaneous-Move Games
3. Simultaneous-Move Games We now want to study the central question of game theory: how should a game be played. That is, what should we expect about the strategies that will be played in a game. We will
More informationExtensive Form Games. Mihai Manea MIT
Extensive Form Games Mihai Manea MIT Extensive-Form Games N: finite set of players; nature is player 0 N tree: order of moves payoffs for every player at the terminal nodes information partition actions
More informationTerry College of Business - ECON 7950
Terry College of Business - ECON 7950 Lecture 5: More on the Hold-Up Problem + Mixed Strategy Equilibria Primary reference: Dixit and Skeath, Games of Strategy, Ch. 5. The Hold Up Problem Let there be
More informationMulti-Agent Bilateral Bargaining and the Nash Bargaining Solution
Multi-Agent Bilateral Bargaining and the Nash Bargaining Solution Sang-Chul Suh University of Windsor Quan Wen Vanderbilt University December 2003 Abstract This paper studies a bargaining model where n
More informationThe probability set-up
CHAPTER 2 The probability set-up 2.1. Introduction and basic theory We will have a sample space, denoted S (sometimes Ω) that consists of all possible outcomes. For example, if we roll two dice, the sample
More information14.12 Game Theory Lecture Notes Lectures 10-11
4.2 Game Theory Lecture Notes Lectures 0- Muhamet Yildiz Repeated Games In these notes, we ll discuss the repeated games, the games where a particular smaller game is repeated; the small game is called
More informationRMT 2015 Power Round Solutions February 14, 2015
Introduction Fair division is the process of dividing a set of goods among several people in a way that is fair. However, as alluded to in the comic above, what exactly we mean by fairness is deceptively
More informationState Content Standards for Florida
Episode 101 What Is a Biz Kid? Episode 102 What Is Money? Episode 103 How Do You Get Money? Episode 104 What Can You Do with Money? Episode 105 Money Moves Episode 106 Taking Charge of Your Financial Future
More informationAUTOMATIC REACTIVE POWER COMPENSATOR: AN OPEN LOOP APPROACH
AUTOMATIC REACTIVE POWER COMPENSATOR: AN OPEN LOOP APPROACH A thesis submitted for the degree of Master of Philosophy by Abdul-Majeed RAHIM School of Engineering and Design Brunel University May 2010 1
More informationCDS 101/110: Lecture 9.1 Frequency DomainLoop Shaping
CDS /: Lecture 9. Frequency DomainLoop Shaping November 3, 6 Goals: Review Basic Loop Shaping Concepts Work through example(s) Reading: Åström and Murray, Feedback Systems -e, Section.,.-.4,.6 I.e., we
More informationStability of Cartels in Multi-market Cournot Oligopolies
Stability of artels in Multi-market ournot Oligopolies Subhadip hakrabarti Robert P. Gilles Emiliya Lazarova April 2017 That cartel formation among producers in a ournot oligopoly may not be sustainable
More informationThe performance of AM and FM receivers. Editor: Xuanfeng Li Teacher: Prof. Xiliang Luo
The performance of AM and FM receivers Editor: Xuanfeng Li Teacher: Prof. Xiliang Luo The performance of AM receivers using Envelop Detection In a full AM signal, both sidebands and the carrier wave are
More information4. Differential Amplifiers. Electronic Circuits. Prof. Dr. Qiuting Huang Integrated Systems Laboratory
4. Differential Amplifiers Electronic Circuits Prof. Dr. Qiuting Huang Integrated Systems Laboratory Differential Signaling Basics and Motivation Transmitting information with two complementary signals
More informationMonotone Comparative Statics 1
John Nachbar Washington University March 27, 2016 1 Overview Monotone Comparative Statics 1 Given an optimization problem indexed by some parameter θ, comparative statics seeks a qualitative understanding
More informationAppendix A A Primer in Game Theory
Appendix A A Primer in Game Theory This presentation of the main ideas and concepts of game theory required to understand the discussion in this book is intended for readers without previous exposure to
More informationLECTURE 3: CONGRUENCES. 1. Basic properties of congruences We begin by introducing some definitions and elementary properties.
LECTURE 3: CONGRUENCES 1. Basic properties of congruences We begin by introducing some definitions and elementary properties. Definition 1.1. Suppose that a, b Z and m N. We say that a is congruent to
More information