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Exercise 20

Avg difficulty 3.0

The fact that for any linear map the rank plus the nullity equals the dimension of the domain shows that a necessary condition for the existence of a homomorphism between two spaces, onto the second space, is that there be no gain in dimension. That is, where h ⁣:V→Wh\colon V\to W is onto, the dimension of WW must be less than or equal to the dimension of VV.

  • Show that this (strong) converse holds: no gain in dimension implies that there is a homomorphism and, further, any matrix with the correct size and correct rank represents such a map.

  • Are there bases for R3\mathbb{R}^{3} such that this matrix

    H=(100200010)H=\begin{pmatrix}1&0&0\\ 2&0&0\\ 0&1&0\end{pmatrix}

    represents a map from R3\mathbb{R}^{3} to R3\mathbb{R}^{3} whose range is the xyxy plane subspace of R3\mathbb{R}^{3}?

Hefferon, Linear Algebra, Maps Between Spaces, Any Matrix Represents a Linear Map, Exercise 20

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Adapted from Linear Algebra © 2016 Jim Hefferon. Licensed under CC BY-SA 3.0 US. Source: Linear Algebra. Imported at revision df2262e.