Undergrad Verifying a linear transformation

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The trace function tr(A) is indeed a linear transformation, mapping matrices to real numbers. While the field of real numbers differs from the vector space of real numbers, the latter can be defined using the former, satisfying vector space properties. The real numbers can be viewed as both a field and a vector space when considering appropriate definitions for vectors and scalars. This distinction highlights the versatility of real numbers in various mathematical contexts. Understanding these relationships is crucial for grasping linear transformations and their properties.
Mr Davis 97
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I am told that the trace function tr(A) is a linear transformation. But this function maps from the space of matrices to the real numbers. How can this be a linear transformation if the set of real numbers isn't a vector space? Or is it? Can a field also be considered a vector space?
 
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Mr Davis 97 said:
Can a field also be considered a vector space?

Yes.

To split hairs , the "field of real numbers" is technically different than "the vector space of real numbers", but, Platonically, we think of the real numbers as being a single "thing" and that thing satisfies the properties of a vector space if we define the set of vectors as being the real numbers, the set of scalars as being the real numbers and the zero vector and the zero scalar, each to be the number zero.
 
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Stephen Tashi said:
To split hairs , the "field of real numbers" is technically different than "the vector space of real numbers", but, Platonically, we think of the real numbers as being a single "thing".
I just thought about the mess, if we really distinguished between them: ##\mathbb{R}## as group, ring, algebra, module, field, integral domain, division ring, topological space, manifold, affine space, vector space, Euclidean space, metric space, Hilbert space, Banach space.
 
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