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The pizza business in Little Town is split between two rivals, Tony and Joey. They are each investigating strategies to steal business away from the other. Joey is considering either lowering prices or cutting bigger slices. Tony is looking into starting up a line of gourmet pizzas, or offering outdoor seating, or giving free sodas at lunchtime. The effects of these various strategies are summarized in the following payoff matrix (entries are dozens of pizzas, Joey’s gain and Tony’s loss).




TONY




Gourmet

Seating

Freesoda

JOEY

Lower price

+2

0

-3


BiggerSlices

_1

-2

+1

For instance, if Joey reduces prices and Tony goes with the gourmet option, then Tony will lose 2 dozen pizzas worth of nosiness to Joey.

What is the value of this game, and what are the optimal strategies for Tony and Joey?

Short Answer

Expert verified

The value of this game is,V=15, The optimal strategies for Tony isy27,57 and for Joey is x35,25.

Step by step solution

01

Explain Payoff Matrix

The payoff matrix had rows and columns that make a move for winning. Row and columns have a mixed strategy to win the game. By observing the opponent’s moves, strategies are predicted.

02

Calculate optimal strategies for Tony and Joey

In the given problem, the strategies are investigated to steal business from others. The effects of the strategies are summarized in a payoff matrix.

There are two rivals, Joey and Tony, Joey represents the rows, and the Tony represents columns. Tony picks up any one option and Joey picks up an option from.

The payoff matrix is as follows:

G=+20312+1

Consider the Payoff matrix G=+20312+1. Let the rows and columns have a mixed strategy, specified by the vector x=x1,x2andy=y1,y2,y3respectively. The sum of the vectors must equal one. The Row’s strategy is fixed; for the optimal column, move either Gourmet g , with payoff 2x11x2or Seating s with payoff 2x2or Free soda f with payoff 3x1+1x2.

Consider that Joey announces x before Tony. Pick x1,x2that maximizes from min2x1x2,2x2,3x1+x2. LP (Linear Programming) to pick x1,x2is z=min2x1x2,2x2,3x1+x2.

Joey needs to choose x1and x2to maximize the z as follows,

2x1x2+z02x2+z03x1+x2+z0

Simplifying yields the following:

x1+x2=3x1,x20

Pick(y1,y2,y3)that maximizes from .

LP (Linear Programming) to pick y1,y2,y3is .

Tony needs to choose y1,y2,and y3to minimize the w as follows,

2y13y3+w01y12y2+y3+w0y1+y2+y3=0

Simplifying yields the following:

y1,y2,y30.

The LPs of Tony and Joey are not equal. Reduce the payoff matrix as follows,

G=+20312+1

Delete the dominant row or column to reduce the payoff matrix. Column 2has column three dominance; delete column 2 .

The optimal strategy for Joey=1    1×Gcof1    1×GAfj×11

The optimal strategy for Joey =11×113211×1312×11

The optimal strategy for Joey35,25

The optimal strategy for Tony=1    1×GAδj1    1×GAAJj×11

The optimal strategy for Tony=(111x|1s12]|11)[1312{111

The optimal strategy for Tony=27,57

Therefore, the optimal strategies for Tony arey27,57and for Joey is x35,25.

03

Calculate the value of the game.

The value of the game is denoted by V. Consider the mixed strategy of Joey and Tony.

V=2757×2311×2535

V=15

Therefore, the value of the game is 15

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Most popular questions from this chapter

A quadratic programming problem seeks to maximize a quadratic objective function (with terms like 3x12or5x1x2) subject to a set of linear constraints. Give an example of a quadratic program in two variables x1, x2 such that the feasible region is nonempty and bounded, and yet none of the vertices of this region optimize the (quadratic) objective.

A vertex cover of an undirected graph G = (V,E) is a subset of the vertices which touches every edge—that is, a subset SVsuch that for each edge {U,V}E, one or both of u, v are in S. Show that the problem of finding the minimum vertex cover in a bipartite graph reduces to maximum flow. (Hint: Can you relate this problem to the minimum cut in an appropriate network?)

Hollywood. A film producer is seeking actors and investors for his new movie. There are n available actors; actori chargesSj dollars. For funding, there arem available investors. Investorj will providepj dollars, but only on the condition that certain actorsLj{1,2,...,n} are included in the cast (all of these actorsLj must be chosen in order to receive funding from investorrole="math" localid="1658404523817" j ).

The producer’s profit is the sum of the payments from investors minus the payments to actors. The goal is to maximize this profit.

(a) Express this problem as an integer linear program in which the variables take on values {0,1}.

(b) Now relax this to a linear program, and show that there must in fact be an integral optimal solution (as is the case, for example, with maximum flow and bipartite matching).

There are many common variations of the maximum flow problem. Here are four of them.

(a) There are many sources and many sinks, and we wish to maximize the total flow from all sources to all sinks.

(b) Each vertex also has a capacity on the maximum flow that can enter it.

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(d) The outgoing flow from each node u is not the same as the incoming flow, but is smaller by a factor of (1-U), whererole="math" localid="1659789093525" u is a loss coefficient associated with node u.

Each of these can be solved efficiently. Show this by reducing (a) and (b) to the original max-flow problem, and reducing (c) and (d) to linear programming.

Consider the following network (the numbers are edge capacities).

(a)Find the maximum flow fand a minimum cut.

(b)Draw the residual graphGf (along with its edge capacities). In this residual network, mark the vertices reachable fromS and the vertices from whichT is reachable.

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(d)Give a very simple example (containing at most four nodes) of a network which has no bottleneck edges.

(e)Give an efficient algorithm to identify all bottleneck edges in a network.

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