Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

For the linear program

maxx12x3x1x212x2x31x1,x2,x30

Prove that the solution(x1,x2,x3)=(3/2,1/2,0) is optimal

Short Answer

Expert verified

The solution (x1,x2,x3)=(3/2,1/2,0)is the optimal solution.

Step by step solution

01

Introduction to problem

Consider the three variables namelyx1,x2,x3and the two linear inequalities as follows,

x1x212x2x31

with a condition, x1,x2,x30

Assume the inequalities be an equation of the form,

[1]x1x2=1[2]2x2x3=1[3]x1,x2,x3=0

Equation’s last line signifies those variablesx1,x2,x3 can never be negative.

Consider the three cases:

Case (I): x1=0

Case (II):x2=0

Case (III):x3=0

02

Evaluate case  x1=0

In this case, Substitute x1=0in Equation [1],

[1]x1x2=10x2=1          [x1=0]x2=1

But no variable can be negative.

Hence, discard the Case (I)

03

Evaluate case  x2=0

In this case, substitutex2=0in Equation [1] as follows,

[1]x1x2=1x10=1          [x2=0]x1=1

Substitutex2=0in Equation [2] as follows,

[2]2x2x3=10x3=1   [x2=0]x3=1

But no variable can be negative.

Hence, discard the Case (II).

04

Evaluate case  x2=0

In this case, substitutex3=0in Equation as follows,

[2]2x2x3=12x20=1    [x3=0]2x2=1x2=12

Substitutex2=12in Equation [1] as follows,

[1]x1x2=1x112=1​   ​​ [x2=12]x1=1+12x1=32

Therefore, this case is possible.

05

Finding  max x1−2x3

The maximum of x12x3 can be calculated as follows,

x12x3=322×0=32

Therefore, the optimal solution at(x1,x2,x3) is (3/2,1/2,0).

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

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?)

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.

For the following network, with edge capacities as shown, find the maximum flow from S to T, along with a matching cut.

Consider the following generalization of the maximum flow problem.

You are given a directed network G=(V,E)with edge capacities {ce}. Instead of a single (s,t)pair, you are given multiple pairs (s1,t1),(s2,t2),,(sk,tk), where the siare sources of Gand tithe are sinks of G. You are also given kdemands d1,,dk. The goal is to find kflows f(1),,f(k)with the following properties:

  • f(i)is a valid flow fromSi toti .
  • For each edge e, the total flowfe(1)+fe(2)++fe(k) does not exceed the capacityce .
  • The size of each flowf(i) is at least the demand di.
  • The size of the total flow (the sum of the flows) is as large as possible.

How would you solve this problem?

Find necessary and sufficient conditions on the reals a and b under which the linear program

maxx+yax+by1x,y0

(a) Is infeasible.

(b) Is unbounded.

(c) Has a unique optimal solution.

See all solutions

Recommended explanations on Computer Science Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free