When does the kernel of a function equal the image? Thanks in advance
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Do you mean a linear transformation or morphism ? – user10444 Mar 21 '13 at 19:43
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@user10444 Because of the use of "kernel", I guess so. Note also the tag "linear algebra", which suggests the OP is talking about a linear transformation. – Pedro Mar 21 '13 at 19:44
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For an example regarding linear transformations, have a look at this question. – A.P. Mar 21 '13 at 19:45
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I meant linear transformation – proofy Mar 21 '13 at 20:07
3 Answers
If you are talking about linear transformations of $\mathbb{R}^n$ to itself, the kernel is the space orthogonal to the rows. The image however is the column space. So your kernel equals the image when the rows are all orthogonal with all the columns and the rank is $\frac{n}{2}$.
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Thank you very much for referring in your answer to the general case R^n. – proofy Mar 21 '13 at 20:23
Let $f$ be a function which takes $x$ as argument such as $f(x)=y$.
If $x \in \text{Ker} f$ then $f(x)=0 \Longrightarrow f(0)=0$.
If $y \in \text{Im} f$ then $y=f(x) \Longrightarrow f \circ f(x)=0$.
So $\text{Ker} f = \text{Im} f$ if $f(0)=0$ and if for all $x$, $f\circ f(x)=0$.
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If $\phi : V\to W$ is a linear transformation of vector spaces , then $\ker\phi := \{v\in V\mid \phi(v) = 0\in W\}$ and $\textrm{im}\,\phi = \phi(V) := \{w\in W\mid w = \phi(v)\textrm{ for some }v\in V\}$. We see that $\ker\phi\subseteq V$ and $\phi(V)\subseteq W$, so if $V\subsetneq W$ and $W\subsetneq V$, these sets are not even comparable.
If $\phi : V\to V$, then $\ker\phi = \phi(V)$ if $\ker\phi \subseteq \phi(V)$ and $\ker\phi \supseteq \phi(V)$, and I claim that $\ker\phi = \phi(V)\implies\phi(\phi(V)) = \{0\}$. If $\ker\phi \supseteq \phi(V)$, then for all $v\in\textrm{im}\,\phi$, $\phi(v) = 0$. This implies that $\phi(\phi(V)) = \{0\}$.
Moreover, by the rank-nullity theorem, we can say that $$ \dim V = \dim\ker\phi + \dim\phi(V) = 2\cdot\dim\ker\phi = 2\cdot\dim\phi(V), $$ so that $\dim V$ is either even or infinite. If $\dim V = n < \infty$, then we can say that $\dim\phi(V) = \dim\ker\phi = n/2$.
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