Definition:Kernel of Linear Transformation
This page is about kernel in the context of linear algebra. For other uses, see kernel.
Definition
Let $\phi: G \to H$ be a linear transformation where $G$ and $H$ are $R$-modules.
Let $e_H$ be the identity of $H$.
The kernel of $\phi$ is defined as:
- $\map \ker \phi := \phi^{-1} \sqbrk {\set {e_H} }$
where $\phi^{-1} \sqbrk S$ denotes the preimage of $S$ under $\phi$.
In Vector Space
Let $\struct {\mathbf V, +, \times}$ be a vector space.
Let $\struct {\mathbf V', +, \times}$ be a vector space whose zero vector is $\mathbf 0'$.
Let $T: \mathbf V \to \mathbf V'$ be a linear transformation.
Then the kernel of $T$ is defined as:
- $\map \ker T := T^{-1} \sqbrk {\set {\mathbf 0'} } = \set {\mathbf x \in \mathbf V: \map T {\mathbf x} = \mathbf 0'}$
Also denoted as
The notation $\map {\mathrm {Ker} } \phi$ can sometimes be seen for the kernel of $\phi$.
It can also be presented as $\ker \phi$ or $\operatorname {Ker} \phi$, that is, without the parenthesis indicating a mapping.
Also see
- Kernel of Linear Transformation contains Zero Vector
- Kernel of Linear Transformation is Null Space of Matrix Representation
- Results about kernels of linear transformations can be found here.
Sources
- 1965: Seth Warner: Modern Algebra ... (previous) ... (next): Chapter $\text {V}$: Vector Spaces: $\S 28$. Linear Transformations