TheoremBase

Kernel and Image of a Linear Map

The kernel of a linear map is the set of vectors it sends to zero, and its image is the image of the whole domain.

Statement

In the setting of Routine Facts, Continued: Typed Arithmetic, Maps and Predicativity, let KK, with ++, ⋅\cdot, 00 and 11, be a field, let VV and WW, each with its addition and scalar multiplication, be vector spaces over KK, let 0W0_{W} be the zero vector of WW, and let TT be a linear map from VV to WW.

Kernel. The kernel of TT is the subset

ker⁡T={v∈V:T(v)=0W}\ker T=\{v\in V:T(v)=0_{W}\}

of VV (a set by Subclasses of Sets Are Sets, the Union and Power Set of a Set Exist Uniquely, Binary Unions of Sets Are Sets, and the Universal Class Is Proper (i)).

Image. The image of TT is the image

im⁡T=T[V]\operatorname{im}T=T[V]

of VV under TT (a subset of WW: it is the range of TT by Basic Properties of Functions: Equality, Composition, Identity, Inverse and Restriction (v), and ran⁡T⊆W\operatorname{ran}T\subseteq W by Functions, Values of a Function, and Functions from One Class to Another (iii)).

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