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Linear Algebra, 2020a

Linear Algebra, 2020a

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Chapter Two<br />

Vector Spaces<br />

The first chapter finished with a fair understanding of how Gauss’s Method<br />

solves a linear system. It systematically takes linear combinations of the rows.<br />

Here we move to a general study of linear combinations.<br />

We need a setting. At times in the first chapter we’ve combined vectors from<br />

R 2 , at other times vectors from R 3 , and at other times vectors from higherdimensional<br />

spaces. So our first impulse might be to work in R n , leaving n<br />

unspecified. This would have the advantage that any of the results would hold<br />

for R 2 and for R 3 and for many other spaces, simultaneously.<br />

But if having the results apply to many spaces at once is advantageous then<br />

sticking only to R n ’s is restrictive. We’d like our results to apply to combinations<br />

of row vectors, as in the final section of the first chapter. We’ve even seen some<br />

spaces that are not simply a collection of all of the same-sized column vectors or<br />

row vectors. For instance, we’ve seen a homogeneous system’s solution set that<br />

is a plane inside of R 3 . This set is a closed system in that a linear combination<br />

of these solutions is also a solution. But it does not contain all of the three-tall<br />

column vectors, only some of them.<br />

We want the results about linear combinations to apply anywhere that linear<br />

combinations make sense. We shall call any such set a vector space. Our results,<br />

instead of being phrased as “Whenever we have a collection in which we can<br />

sensibly take linear combinations . . . ”, will be stated “In any vector space . . . ”<br />

Such a statement describes at once what happens in many spaces. To<br />

understand the advantages of moving from studying a single space to studying<br />

a class of spaces, consider this analogy. Imagine that the government made<br />

laws one person at a time: “Leslie Jones can’t jay walk.” That would be bad;<br />

statements have the virtue of economy when they apply to many cases at once.<br />

Or suppose that they said, “Kim Ke must stop when passing an accident.”<br />

Contrast that with, “Any doctor must stop when passing an accident.” More<br />

general statements, in some ways, are clearer.

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