Finding a basis for the following vectors.

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The discussion centers on finding a basis and the dimension of the subspace in R3 spanned by the vectors {(0,1,-2), (3,0,1), (3,2,-3)}. The dimension is established as 2, indicating the vectors are linearly dependent. To find the basis, it is sufficient to form a matrix with the vectors, reduce it, and select the non-zero rows or columns. The vectors (0,1,-2) and (3,2,-3) are confirmed as a basis for the span.

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Find a basis and the dimension for the subspace of R^3(3D) spanned by the vectors {(0,1,-2),(3,0,1),(3,2,-3)}

The dimension is 2 regardless if i put the vectors in row space or column space form.

But to find the basis I need to put it in row space form.

Can anyone please explain when I need to use the row space or column form?
thank you
 
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kingkong69 said:
Find a basis and the dimension for the subspace of R^3(3D) spanned by the vectors {(0,1,-2),(3,0,1),(3,2,-3)}

The dimension is 2 regardless if i put the vectors in row space or column space form.

But to find the basis I need to put it in row space form.


*** No, you don't. Form a matrix with the three given vectors, reduce it and take the rows (or columns, whatever you chose)

that remain non-zero at the end. Those vectors are a basis for your space. Now write them either way you want to: row or columns.

DonAntonio ***


Can anyone please explain when I need to use the row space or column form?
thank you

...
 
You don't need to put it in "row" or "column" form at all. Any independent subset of a set of vectors will form a basis for the span of the set.

You say that you know that the dimension of the span is two, not three, so you must know that the set is not independent. How did you determine that?

The definition of "independent" is that the only way you can have a linear combination, [itex]a_1v_1+ a_2v_2+ a_3v_3= 0[/itex], equal to 0, is if all coefficients are equal to 0: [itex]a_1= a_2= a_3= 0[/itex]. Here, that equation becomes
[tex]a_1(0, 1, -2)+ a_2(3, 0, 1)+ a_3(3, 2, -3)= (3a_2+ 3a_3, a_1+ 2a_3, -2a_1+ a_2- 3a_3)= (0, 0, 0)[/tex]

So we must have [itex]3a_2+ 3a_3= 0[/itex], [itex]a_1+ 2a_3= 0[/itex], and [itex]-2a_1+ a_2- 3a_3= 0[/itex]. From the first equation, [itex]a_2= -a_3[/itex], and, from the second, [itex]a_1= -2a_3[/itex]. Putting those into the third equation, [itex]-2(-2a_3)+ (-a_3)- 3a_3= 3a_3- 3a_3= 0[/itex] for all [itex]a_3[/itex] so there exist non-zero solutions. Yes, these vectors are dependent.

Now, since [itex]a_1= -2a_3[/itex] and [itex]a_2= -a_3[/itex], our original equation, [itex]a_1(0, 1, -2)+ a_2(3, 0, 1)+ a_3(3, 2, -3)= -2a_3(0, 1, -2)- a_3(3, 0, 1)+ a_3(3, 2, -3)= 0[/itex] so we can write [itex]a_3(3, 0, 1)= -2a_3(0, 1, -2)+ a_3(3, 2, -3)[/itex] or [itex](3, 0, 1)= -2(0, 1, -2)+ (3, 2, -3)[/itex]. Since (3, 0, 1) can be written as a linear combination of (0, 1, -2) and (3, 2, -3), any linear combination all three (any vector in the span) can be written as a linear combination of those two. Since they independent (one is not a multiple of the other) (0, 1, -2) and (3, 2, 3) are a basis for that span.

(In fact, since we could solve -2a_3(0, 1, -2)- a_3(3, 0, 1)+ a_3(3, 2, -3)= (0, 0, 0) for any one vector as a linear combination of the other two, any pair of the original vectors is a basis.)

Writing these vectors as rows or columns and then row or column reducing may be quicker, depending on the vectors, but you should always keep in mind the basic definitions.
 

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