Did I mess up in this inequality?

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Homework Help Overview

The discussion revolves around a linear programming problem involving inequalities and the dual problem. The original poster expresses confusion regarding specific inequalities and the implications of their solutions, particularly in relation to the Simplex Algorithm, which has not yet been covered in their coursework.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • The original poster attempts to solve various parts of the problem, particularly focusing on inequalities and feasible solutions. They question the implications of certain values for a variable and whether negative values need to be considered. Some participants explore the feasibility of solutions and the relationship between primal and dual problems.

Discussion Status

Participants are actively engaging with the problem, raising questions about the correctness of their inequalities and the feasibility of solutions. Some have identified potential errors in their earlier reasoning, while others are seeking clarification on the relationships between variables and constraints. There is an ongoing exploration of the implications of boundedness in the context of the dual problem.

Contextual Notes

Participants note that they have not yet learned the Simplex Algorithm, which may limit their approaches. There are also discussions about the dimensionality of matrices involved in the dual problem and the implications of variable constraints.

flyingpig
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Homework Statement



[PLAIN]http://img703.imageshack.us/img703/7445/unledhpu.png



The Attempt at a Solution



I am having problems with (c), (e) but I will show yu what I did for the others first. I also I forewarn thee that we haven't learned the Simplex Algorithm yet (we might learn it at the end of the week)

(a)I did the whole inequality thing and I got

min

w = 1203y_1 + 1551y_2

0 \geq -6y_1
5 \geq 4y_1 + 7y_2
14 \geq 10y_1 + 15y_2

y_1, y_2 \leq 0

(b), I found that y = (0,0)^t worked

(this will be useful for (e))

0 \geq 0 = -6(0)
5 \geq 0 = 4(0) + 7(0)
14 \geq 0 = 10(0) + 15(0)

(c)

Here is the problem, with the first inequality

-6t + 4(100) + 10(50) = -6t + 900 \leq 1203

-6t \leq 303

t \geq -50.5

This doesn't say that all t are positive, I mean okay, all positive values do work because neither the other constraint nor the objective function depend on x_1

Does it make sense to say that "Since t \geq -50.5 which therefore includes t \geq 0, hence x = (t, 100,50)^t works for all t \geq 0"

The other constraints (if you are wondering) all work. So my question is, do I have to worry about the values -50.5 \leq t < 0?

I excluded 0 because it works.

(d) Nothing fancy here, just z = 5(100) + 14(50) = 1200

(e) If P is feasible, there exists a feasible x = (x_1, x_2, x_3)^t.

Since I confirmed that my y = (0,0)^t (or at least I think yu should believe me) is D-feasible, by the Weak Duality Thrm

I have the inequality

c^t \leq y^t A \leq y^t b

However there is a problem.

My A matrix is \begin{pmatrix}<br /> -6 &amp; 4&amp; 10\\ <br /> 0&amp; 7&amp; 15<br /> \end{pmatrix} This is 2 by 3

And my yt is \begin{pmatrix}<br /> 0\\ <br /> 0<br /> \end{pmatrix}

How can they multiply together?

(f) need to answer (e) before

(g) I think it follows from (f)? Intuition.
 
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flyingpig said:

Homework Statement



[PLAIN]http://img703.imageshack.us/img703/7445/unledhpu.png



The Attempt at a Solution



I am having problems with (c), (e) but I will show yu what I did for the others first. I also I forewarn thee that we haven't learned the Simplex Algorithm yet (we might learn it at the end of the week)

(a)I did the whole inequality thing and I got

min

w = 1203y_1 + 1551y_2

0 \geq -6y_1
5 \geq 4y_1 + 7y_2
14 \geq 10y_1 + 15y_2

y_1, y_2 \leq 0

(b), I found that y = (0,0)^t worked

(this will be useful for (e))

0 \geq 0 = -6(0)
5 \geq 0 = 4(0) + 7(0)
14 \geq 0 = 10(0) + 15(0)

(c)

Here is the problem, with the first inequality

-6t + 4(100) + 10(50) = -6t + 900 \leq 1203

-6t \leq 303

t \geq -50.5

This doesn't say that all t are positive, I mean okay, all positive values do work because neither the other constraint nor the objective function depend on x_1

Does it make sense to say that "Since t \geq -50.5 which therefore includes t \geq 0, hence x = (t, 100,50)^t works for all t \geq 0"

The other constraints (if you are wondering) all work. So my question is, do I have to worry about the values -50.5 \leq t &lt; 0?

I excluded 0 because it works.

(d) Nothing fancy here, just z = 5(100) + 14(50) = 1200

(e) If P is feasible, there exists a feasible x = (x_1, x_2, x_3)^t.

Since I confirmed that my y = (0,0)^t (or at least I think yu should believe me) is D-feasible, by the Weak Duality Thrm

I have the inequality

c^t \leq y^t A \leq y^t b

However there is a problem.

My A matrix is \begin{pmatrix}<br /> -6 &amp; 4&amp; 10\\ <br /> 0&amp; 7&amp; 15<br /> \end{pmatrix} This is 2 by 3

And my yt is \begin{pmatrix}<br /> 0\\ <br /> 0<br /> \end{pmatrix}

How can they multiply together?

(f) need to answer (e) before

(g) I think it follows from (f)? Intuition.

My dual problem is a lot different from yours. Certainly, (y1,y2) = (0,0) does not work.

RGV
 
Last edited by a moderator:
Nope... i messed up my leq and geq again...

I swear it was the other way around last night when I typed this up in preview...I swear...

(a)

w = 1203y_1 + 1551y_2

0 \leq -6y_1

5 \leq 4y_1 + 7y_2

14 \leq 10y_1 + 15y_2

y_1, y_2 \geq 0

(b)

A feasible solution would be y = (0,1)^t

w = 1203(0) + 1551(1) = 1551

0 \leq 0 = -6(0)

5 \leq 7 = 4(0) + 7(1)

14 \leq 15 = 10(0) + 15(1)

0,1 \geq 0
 
This is OK now.

RGV
 
Not okay yet

(c) Still unsure

(e) Can't do anything about this
 
Omg I got it.

Admittedly I am still stuck on (c), but the others are clear

(e)

I just need to test the x given in (d)

So z= 5(100) + 14(50) = 1200

So as t \to \pm \infty, z \to 1200 for all t

(f) No, P is bounded, the limit in (e) shows

(e) No, since P is bounded, so must D.
 
I need some comments...anything is okay.

Ray...I love you? Please come back.
 
Last edited:
I take back everything I said...

[PLAIN]http://img851.imageshack.us/img851/5065/unledurp.png

The left one is drawn by me and the right one is drawn by computer

From

-6y_1 \geq 0

It follows that

y_1 \leq 0

I have also found that the two lines intersect only once and it is for x > 0, http://www.wolframalpha.com/input/?i=RowReduce{{4%2C7%2C5}%2C{10%2C15%2C14}}

So D is unbounded.

How do I put this into Math? Like it didn't ask me to draw a graph and make this analysis.

How do I do this algebraically?
 
Last edited by a moderator:
Also, from Linear Algebra and intuition I have the matrix for the dual

\left[ <br /> \begin{array}{cc|c} <br /> 1 &amp; 0 &amp; 0 \\ <br /> 4 &amp; 7 &amp; 5 \\ <br /> 10 &amp; 15 &amp; 14 \\ <br /> \end{array} <br /> \right]

I have 3 rows and 2 columns, I must have a free variable.
 
  • #10
I tried e) again and it had NOTHING to do with the dual, at all...e) I need to find a number K such that

|x_1| \leq K, |x_2| \leq K, |x_3| \leq K

Here is the problem, I am not sure how to find this K and what to do with it after I found it. Like how to show that P is unbounded with the K
 

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