Simple Linear algebra question but I have to have a brain freeze smh

In summary, the conversation discusses the process of constructing an isomorphism between two subspaces, V and W, in R^3. The dimensions of V and W are both 2, and the bases for both subspaces are chosen to satisfy their respective linear equations. The chosen bases are related to the linear equations and can also be found using analytic geometry.
  • #1
trap101
342
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So I'm reading an example from my text on how to construct an isomorphism:

Let V be in R^3 be defined by the single linear equation: x1 - x2 + x3 = 0 (those are suppose to be subscripts after the x's) and let W be in R^3 be the subspace defined by the single linear equation 2x1 + x2 - x3 = 0. Since dim(V) = dim(W) = 2, V and W are isomorphic. To construc an isomorphism we choose bases for V and W. A basis for v1 = (1,1,0) and v2 = (0,1,1). A basis for w1 = (1, -1, 1) and w2 = (-1/2, 1, 0)

Question: How do I find the dim of V and W? Should be straight forward but I don't see it...smh, and how do they come up with those bases for V and W in the isomorphism?

Thanks
 
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  • #2
hi trap101! :smile:
trap101 said:
Question: How do I find the dim of V and W? Should be straight forward but I don't see it...smh,

every linear equation reduces the degrees of freedom by 1

start with 3, apply one equation, result: 2 :wink:

(ie, in n dimensions, one equation gives you an n-1 space, two simultaneous equations give you an n-2 space, etc)
and how do they come up with those bases for V and W in the isomorphism?

just choose numbers as simple as possible that satisfy the equation (and are independent) …

use 1s and 0s if possible, if not then try 2s … :wink:
 
  • #3
Shouldn't I be able to form a linear combination from the standard basis vectors and solve for the dim in a matrix as well?...That was the route I was taking, but it might be useful to remember that fact from now on.
 
  • #4
trap101 said:
Shouldn't I be able to form a linear combination from the standard basis vectors and solve for the dim in a matrix as well?

not following you :confused:
 
  • #5
this equation: x1 - x2 + x3 = 0 from the first part of my question, My intention was to write this out as a linear combination using the standard basis vectors in R^3, and then I wanted to find the basis from the reduced-echelon form of the matrix.

Another question: How do those chosen bases relate to linear equations?
 
  • #6
trap101 said:
So I'm reading an example from my text on how to construct an isomorphism:

Let V be in R^3 be defined by the single linear equation: x1 - x2 + x3 = 0 (those are supposed to be subscripts after the x's) and let W be in R^3 be the subspace defined by the single linear equation 2x1 + x2 - x3 = 0. Since dim(V) = dim(W) = 2, V and W are isomorphic. To construct an isomorphism we choose bases for V and W. A basis for v1 = (1,1,0) and v2 = (0,1,1). A basis for w1 = (1, -1, 1) and w2 = (-1/2, 1, 0)

Question: How do I find the dim of V and W? Should be straight forward but I don't see it...smh, and how do they come up with those bases for V and W in the isomorphism?

Thanks
I'm surprised tiny-tim didn't say "(try using the X2 button just above the Reply box :wink:)"

In terms of analytic geometry, the equations, x1 - x2 + x3 = 0 and 2x1 + x2 - x3 = 0 are equations of planes, so you can think of them as each having two dimensions.

The vectors v1 = (1,1,0) and v2 = (0,1,1) each lie in the plane, V. Similarly, w1 = (1, -1, 1) and w2 = (-1/2, 1, 0) each lie in plane W.
 
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  • #7
Another way you can look at it is this.
The subspace you are talking about is this

\begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix} with [itex] 2x_1 + x_2 - x_3 = 0[/itex]
plugging in [itex] x_3 = 2x_1 + x_2[/itex]

[itex]\begin{pmatrix} x_1 \\ x_2 \\ 2x_1 + x_2 \end{pmatrix} = x_1\begin{pmatrix} 1 \\ 0 \\ 2 \end{pmatrix} + x_2\begin{pmatrix} 0 \\1 \\1 \end{pmatrix}[/itex]

Those are a base for the subspace and so the dimension is 2.
 

FAQ: Simple Linear algebra question but I have to have a brain freeze smh

What is Simple Linear Algebra?

Simple Linear Algebra is a branch of mathematics that deals with the study of linear equations and their representations in vector spaces and matrices. It is used to solve problems related to systems of linear equations, transformations, and geometric concepts.

What is a Brain Freeze?

A brain freeze, also known as an ice cream headache, is a sudden and intense headache caused by the rapid consumption of cold food or drinks. It is characterized by a sharp pain in the forehead or temple area and usually resolves within a few minutes.

What are the main components of Simple Linear Algebra?

The main components of Simple Linear Algebra are scalars, vectors, and matrices. Scalars are single numbers used for mathematical operations. Vectors are quantities that have both magnitude and direction. Matrices are arrays of numbers arranged in rows and columns.

What are the applications of Simple Linear Algebra?

Simple Linear Algebra has various applications in different fields such as engineering, physics, computer science, economics, and statistics. It is used for data analysis, image processing, computer graphics, machine learning, and many other areas.

What are some common operations in Simple Linear Algebra?

Some common operations in Simple Linear Algebra include addition, subtraction, multiplication, and division of scalars, vectors, and matrices. Other operations include dot product, cross product, determinants, and eigenvalues and eigenvectors.

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