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Linear Algebra, 2020a

Linear Algebra, 2020a

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Chapter Three<br />

Maps Between Spaces<br />

I<br />

Isomorphisms<br />

In the examples following the definition of a vector space we expressed the<br />

intuition that some spaces are “the same” as others. For instance, the space of<br />

two-tall column vectors and the space of two-wide row vectors are not equal<br />

because their elements — column vectors and row vectors — are not equal, but<br />

we feel that these spaces differ only in how their elements appear. We will now<br />

make this precise.<br />

This section illustrates a common phase of a mathematical investigation.<br />

With the help of some examples we’ve gotten an idea. We will next give a formal<br />

definition and then we will produce some results backing our contention that<br />

the definition captures the idea. We’ve seen this happen already, for instance in<br />

the first section of the Vector Space chapter. There, the study of linear systems<br />

led us to consider collections closed under linear combinations. We defined such<br />

a collection as a vector space and we followed it with some supporting results.<br />

That wasn’t an end point, instead it led to new insights such as the idea of a<br />

basis. Here also, after producing a definition and supporting it, we will get two<br />

surprises (pleasant ones). First, we will find that the definition applies to some<br />

unforeseen, and interesting, cases. Second, the study of the definition will lead<br />

to new ideas. In this way, our investigation will build momentum.<br />

I.1 Definition and Examples<br />

We start with two examples that suggest the right definition.

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