nLab
rank-nullity theorem
Contents
Context
Linear algebra
linear algebra, higher linear algebra
Ingredients
Basic concepts
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ring, A-∞ ring
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commutative ring, E-∞ ring
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module, ∞-module, (∞,n)-module
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field, ∞-field
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vector space, 2-vector space
rational vector space
real vector space
complex vector space
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topological vector space
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linear basis,
orthogonal basis, orthonormal basis
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linear map, antilinear map
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matrix (square, invertible, diagonal, hermitian, symmetric, …)
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general linear group, matrix group
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eigenspace, eigenvalue
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inner product, Hermitian form
Gram-Schmidt process
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Hilbert space
Theorems
(…)
Contents
Idea
In linear algebra, what is known as the rank-nullity theorem (e.g. 3.22 in Axler (2015), who calls it the fundamental theorem of linear maps) is the statement that for any linear map out of a finite-dimensional vector space, the sum of
- the rank , i.e. the dimension of the image;
with
- the nullity , i.e. the dimension of the kernel
equals
This rank-nullity theorem is the decategorification (under the dimension functor ) of the stronger statement that itself is the direct sum of its kernel and image vector spaces:
This may be understood as an instance of the splitting lemma for vector spaces, or more precisely of the statement (here) that every short exact sequence of vector spaces, such as
is a split exact sequence, hence of the form
References
Textbook accounts:
A formal proof of the rank-nullity theorem in the Isabelle proof assistant:
See also:
Created on April 4, 2023 at 08:19:19.
See the history of this page for a list of all contributions to it.