Determine if the Given Vectors Span R4

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SUMMARY

The given vectors { [1 3 -1 0]^T, [-2 1 0 0]^T, [0 2 1 -1]^T, [3 6 -3 -2]^T } span R^4, as demonstrated by the invertibility of the matrix A formed by these vectors, with a determinant of -42. This indicates that the vectors are linearly independent and thus span the vector space. Understanding the concept of spanning and the relationship between determinants and matrix invertibility is crucial for grasping this topic.

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I have the answer, but it makes no sense to me. Can someone explain it?

QUESTION:
Determine if the vector { [1 3 -1 0]^T, [-2 1 0 0]^T, [0 2 1 -1]^T, [3 6 -3 -2]^T }
spans R^4

ANSWER:

The vectors span R^4. One way to see this is to observe that the matrix A with these vectors as columns is invertible (the derminant is -42), so each Ei=AX for some column in R^n. Henece Ei is span of these vectors by Example 12.
 
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Do you know what it means for vectors to span a vector space?
 
Because if you've worked with the adjoint of a matrix (or if you haven't yet)

an equation for A-1 (A inverse) = 1/det(A) * Adjoint (A)

here, don't worry about what the adjoint is, you may or may not work it out in your class; but you can see how from this formula, if det(A) = 0, then A inverse does not existhere are some simple examples that you can work out yourself:

this is a matrix:

0 1 0
2 2 2
4 0 4

you can easily see that if you take subtract (2)*Row1 from row 2, that rows 2 and 3 are linearly dependent

when you compute the determinant you get:
(-1)*(1)*(2*4 - 4*2)

because in this equation, you ignore the middle term and multiply only the outside terms, you can see that two vectors will be dependent because 2*4 - 4* 2 = 0

that was a simple example, look at this one (slightly different)

0 1 0
x 133 2x
10x pi 20x

some row operations:

(row 2) - (133*row1)
(row 3) - (pi*row1)

now we get:

0 1 0
x 0 2x
10x 0 20x

now find the determinant again - because the vectors are dependent, you will get to the step of 20x^2 - 20x^2because the vectors are dependent, the terms are just some scalar multiple of another vector's terms; so in computing the determinant you will end up with zero.

I hope that as you get further in your class this point will become more obvious.

Best of luck!
 

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