What is the Dimension of Span?

In summary: Thanks for trying to follow, I think I got what you were trying to say. In summary, The homework statement is that if x1=2, x2=3, and x3=4 then x1, x2, and x3 are linearly dependent.
  • #1
gtfitzpatrick
379
0

Homework Statement



if x[tex]_{1}[/tex]=[tex]
\begin{pmatrix}2 \\ 1 \\ 3\end{pmatrix}
[/tex]

x[tex]_{2}[/tex]=[tex]
\begin{pmatrix}3 \\ -1 \\ 4\end{pmatrix}
[/tex]

x[tex]_{3}[/tex]=[tex]
\begin{pmatrix}2 \\ 6 \\ 4\end{pmatrix}
[/tex]

(i) show that x1,x2 and x3 are linearly dependent
(ii) show that x1 and x2 are linearly independent
(iii)what is the dimension of span (x1,x2,x3)
(iv)give a geometric discription of span (x1,x2,x3)

for (i) i solved the matrices
[tex]
\begin{pmatrix}2 & 3 & 2 \\ 1 & -1 & 6 \\ 3 & 4 & 4\end{pmatrix}
[/tex][tex]
\begin{pmatrix}c1 \\ c2 \\ c3\end{pmatrix}
[/tex] = [tex]
\begin{pmatrix}0\\ 0 \\ 0\end{pmatrix}
[/tex]
and i got a not trivial solution which when i let c3=1 i get -4(x1)+2(x2)+(x3)=0
firstly i would like to know if i formed the matrix correctly,should i have put the values across instead of down?
Thanks
 
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  • #2
The matrix was how it should be, and your values for c1, c2, and c3 check, so all is good.
 
  • #3
thanks Mark,
for part (ii)

i did the same as (i) and got c1=c2=0 which proves they are linearly independent.

but from part (i) if i let c3 = 1 it gives
[tex]

\begin{pmatrix}-8 \\ -4 \\ -12\end{pmatrix}

[/tex]+ [tex]

\begin{pmatrix}6 \\ -2 \\ 8\end{pmatrix}

[/tex]+ [tex]

\begin{pmatrix}2 \\ 6 \\ 4\end{pmatrix}

[/tex]=0

i think that if you can write one vector as a combination of the other vectors it will be linear dependant but if you can't write a vector as combination of the other vectors it is linear independent but this contradicts what i got when i worked it out as i seem to be able to write each vector as a combination of the other vectors!confussed!
 
  • #4
Any time you have two vectors, it's very simple to see if the set is linearly dependent: each vector will be a some multiple of the other. By nothing more complicated that observation I can tell the {x1, x2} is a linearly independent set, as is {x2, x3}, but {x1, x3} is a linearly dependent set, since x3 is a multiple of x1 (and x1 is a different multiple of x3).

The terms linearly dependent and linearly independent are always used when talking about a set of vectors, and never in the context of a single vector. For example, and considering your vectors x1 and x3, it doesn't make any sense to describe x1 as linearly independent or linearly dependent, nor does it to describe x3 this way. Again, we're always talking about a set of vectors.
 
  • #5
Thanks for all the replies Mark, i get the linear (in)dependance now but parts (iii) and (iv) are driving my head round and round, i'll have to do more reading and then try them a bit later...
 
  • #6
Well, now that you've done (i) and (ii), (iii) is trivial isn't it? You are told that the set is spanned by [itex]x^1[/itex], [itex]x^2[/itex] and [itex]x^3[/itex] and have shown that [itex]x^3[/itex] can be written in terms of [itex]x^1[/itex] and [itex]x^2[/itex] while [itex]x^1[/itex] and [itex]x^2[/itex] are independent- that means that [itex]\{x^1, x^2\}[/itex] is a basis for the space.

Of course, geometrically, this is the plane containing (0,0,0) and the lines in the directions of [itex]x^1[/itex] and [itex]x^2[/itex].
 
  • #7
so it has a dim of 2 i think i finally see, thanks a mill, onward...
 
  • #8
for (iv)
the subspace spaned by these 3 vectors is a plane through the origin in R[tex]^{3}[/tex]. The origin is in every subspace since the 0 vector is in every subspace?
i'm not sure i follow this though...
 
  • #9
Yes. All subspaces of R3 are of theform
1) R3 itself (dimension 3)
2) planes containing the origin (dimension 2)
3) lines containing the origin (dimension 1)
4) the origin alone (dimension 0)
 

What are dimensions?

Dimensions refer to the measurements or variables that define a space or object. In the context of "Dimensions of Span: x1,x2,x3", they represent the length, width, and height of a three-dimensional space.

Why are dimensions important in science?

Dimensions are important in science because they allow us to describe and understand the physical world. By measuring and analyzing dimensions, scientists can make predictions, identify patterns, and develop theories about how the world works.

What is the difference between one-dimensional, two-dimensional, and three-dimensional spaces?

A one-dimensional space refers to a straight line with only length as a dimension. A two-dimensional space has both length and width, while a three-dimensional space has length, width, and height. In other words, a one-dimensional space can be represented by a line, a two-dimensional space by a flat surface, and a three-dimensional space by a cube or other solid object.

How are dimensions used in mathematics and physics?

Dimensions are used in mathematics and physics to describe the size and shape of objects, as well as the relationships between different variables. In mathematics, dimensions are often represented by symbols such as x, y, and z. In physics, dimensions are used in equations to represent physical quantities such as distance, time, and mass.

Can dimensions be more than three?

Yes, dimensions can be more than three. In mathematics, the concept of dimensions can be extended to include higher dimensions, such as four-dimensional space or even higher-dimensional spaces. These dimensions may not be easily visualized, but they are still important in certain mathematical and scientific theories.

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