What Is the Dimension of a Constrained Set in R3?

In summary: However, you can now see you have eliminated all inequalities and your system is now just a system of equations. If you solve this system for x, y, z, you can then go back and see what regions of the x-y-z-space are within the given constraints, and that will tell you what part of R^3 contains points that are solutions to your system.In summary, to find the dimension of the set S, we need to examine the constraints given in the system of inequalities and equations. By introducing slack variables and solving the resulting system of equations, we can determine which part of R^3 contains points that satisfy all the constraints, thereby finding the dimension of the set S.
  • #1
FightingWizard
7
0

Homework Statement



Let S denote (x,y,z) in R3 which satisfies the following inequalities:
-2x+y+z <= 4
x-2y+z <= 1
2x+2y-z <= 5
x >=1
y >=2
z >= 3

Homework Equations


How to find the dimension of the set S ?

The Attempt at a Solution


I have tried to transform the inequalities into matrix form but I'm not quite sure that this is even the right way.

Please help
 
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  • #2
FightingWizard said:

Homework Statement



Let S denote (x,y,z) in R3 which satisfies the following inequalities:
-2x+y+z <= 4
x-2y+z <= 1
2x+2y-z <= 5
x >=1
y >=2
z >= 3

Homework Equations


How to find the dimension of the set S ?

The Attempt at a Solution


I have tried to transform the inequalities into matrix form but I'm not quite sure that this is even the right way.

Please help

Try to think geometrically instead of algebraically. The dimension will either not exist at all, or else will be one of the integers 0, 1, 2 or 3. Is S a 0-dimensional set? (You can use Google to look up what that means.) Is S 1-dimemsional? (What does a bounded 1-dimensional set look like?) Is S 2-dimensional? What does a bounded 2-dimensionl set look like? Does your S look like that?

When you want to approach such problems algebraically, it is more involved and complex than you might think at first. The first step is to eliminate all "algebraic" inequalities, leaving only simple bounds like x >= 1, etc. We do this by introducing so-called slack or surplus variables, one for each inequality. Thus. we re-write ##-2x+y+z \leq 4## as ##-2x+y+z+s_1 = 4##, where ##s_1 \geq 0## is a slack variable. Similarly, ##x-2y+z \leq 1## becomes ##x-2y+z+s_2 = 1##, where ##s_2 \geq 0## is another slack variable. Finally, we re-write ##2x+2y-z \leq 5## as ##2x+2y-z+s_3 = 5##, where ##s_3 \geq 0## is still another slack variable. So, altogether your system becomes
[tex] \begin{array}[rcccc]
-2x+y+z&+s_1& & & =4 \\
x-2y+x & &+s_2& &=1 \\
2x+2y-z & & &+s_3&=5\\
\end{array}\\
x \geq 1, y \geq 2, z \geq 3, s_1, s_2, s_3 \geq 0
[/tex]
Your system of equations has 3 equations and 6 variables, and that is the system on which you would start to use matrix methods.
 

Related to What Is the Dimension of a Constrained Set in R3?

1. What is the dimension of S?

The dimension of S is a measure of the minimum number of coordinates needed to describe a point in the space of S. It can also be thought of as the number of independent variables needed to fully specify a point in S.

2. How is the dimension of S determined?

The dimension of S is determined by counting the number of linearly independent vectors in a basis for S. This can be done by finding the number of coordinates needed to describe each vector in the basis.

3. Can the dimension of S change?

Yes, the dimension of S can change if the underlying space of S changes. For example, if S is a subset of a higher dimensional space, its dimension may change if it is embedded in a different way or if its basis vectors change.

4. How does the dimension of S affect its properties?

The dimension of S can affect its properties in various ways. For example, the dimension can determine the maximum number of linearly independent vectors in S, the dimension of its span, and the number of solutions to a system of equations involving vectors in S.

5. What is the relationship between the dimension of S and the dimension of its dual space?

The dimension of S and the dimension of its dual space are always equal. This is because the dual space is defined as the space of all linear functionals on S, and the dimension of a space is determined by the number of linearly independent vectors or functionals in a basis. Therefore, the dimension of S and its dual space are inherently linked.

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