No Optimal Explaining Formally

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Discussion Overview

The discussion revolves around a linear programming problem that is stated to have no optimal solution. Participants explore the conditions under which this might occur, particularly focusing on the parameters involved in the problem and the implications of an unbounded solution space.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant presents a linear programming problem and asks how to formally explain the absence of an optimal solution.
  • Another participant suggests that understanding the parameters $a_{ij}$ is crucial, questioning if they can be assumed to be non-negative.
  • It is stated that $a_{ij} \in \mathbb{R}$, $x_i \geq 0$, and $b_j \geq 0$, indicating a range of possible values for these variables.
  • A specific case is proposed where $a_{ij} = -1$ and $b_j = 0$, prompting a question about the existence of an optimal solution under these conditions.
  • Participants discuss that if $x_1 = x_2 = 0$, the maximum value is 0, raising further questions about the conditions leading to no optimal solution in an unbounded space.
  • It is suggested that there may be no solution at all or that the solution space could be unbounded in the direction of increasing value.
  • A question is posed regarding the angles of the boundary condition lines that would result in no feasible solution or an unbounded maximum.

Areas of Agreement / Disagreement

Participants express uncertainty about the conditions leading to no optimal solution, with multiple competing views on the implications of the parameters and the geometry of the solution space. The discussion remains unresolved.

Contextual Notes

Participants have not reached consensus on the specific conditions that lead to the absence of an optimal solution, and there are unresolved questions regarding the implications of the chosen parameters and boundary conditions.

evinda
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Hello! (Wave)

There is given the following example of a linear programming problem that has no optimal solution.

View attachment 4813

$$\begin{Bmatrix}
a_{11}x_1+a_{12}x_2 \geq b_1 & \\
a_{21}x_1+a_{22}x_2 \geq b_2 &
\end{Bmatrix} \Leftrightarrow (x_1,x_2) \in D \\ \\ \\ \\ \ \ \max_{(x_1, x_2) \in D} (x_1+x_2)$$

How could we explain formally that there is no optimal solution? (Thinking)
 

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evinda said:
Hello! (Wave)

There is given the following example of a linear programming problem that has no optimal solution.

$$\begin{Bmatrix}
a_{11}x_1+a_{12}x_2 \geq b_1 & \\
a_{21}x_1+a_{22}x_2 \geq b_2 &
\end{Bmatrix} \Leftrightarrow (x_1,x_2) \in D \\ \\ \\ \\ \ \ \max_{(x_1, x_2) \in D} (x_1+x_2)$$

How could we explain formally that there is no optimal solution? (Thinking)

Hey evinda! (Smile)

Before we can do that, we need to know more about the $a_{ij}$.
Can we for instance assume that they are non-negative? (Wondering)
 
I like Serena said:
Hey evinda! (Smile)

Before we can do that, we need to know more about the $a_{ij}$.
Can we for instance assume that they are non-negative? (Wondering)

It holds that $a_{ij} \in \mathbb{R}, x_i \geq 0, i=1, \dots, n, b_j \geq 0, j=1, \dots, m$.
 
evinda said:
It holds that $a_{ij} \in \mathbb{R}, x_i \geq 0, i=1, \dots, n, b_j \geq 0, j=1, \dots, m$.

Let's pick $a_{ij} = -1, b_j = 0$ for every $i,j$.
Can you find an optimal solution for it? (Wondering)
 
I like Serena said:
Let's pick $a_{ij} = -1, b_j = 0$ for every $i,j$.
Can you find an optimal solution for it? (Wondering)

Then it has to hold that $x_1=x_2=0$ so the maximum is equal to $0$, right?

So under which conditions isn't there an optimal solution, given that we have an unbounded space? (Thinking)
 
evinda said:
Then it has to hold that $x_1=x_2=0$ so the maximum is equal to $0$, right?

So under which conditions isn't there an optimal solution, given that we have an unbounded space? (Thinking)

Yes. (Nod)

Either when there is no solution at all, or when the solution space is unbounded in the direction of increasing value. (Thinking)

Suppose we start with 1 boundary condition.
For which angles of the line of the boundary condition will there be no feasible solution?
And for which angles will the maximum be unbounded? (Wondering)
 

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