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Rank-nullity:
Statement
Let be a linear map of vector spaces over , with finite-dimensional. Then
Equivalently,
Facts & Assumptions
Given: A linear map with finite-dimensional over .
Nullity and rank are the dimensions of the kernel and image (Rank and nullity of a linear map with finite-dimensional domain).
There are finite bases of and of with ; for , the set is finite, is a basis of , and is bijective (Extending a basis of the kernel to a basis of the domain gives a basis of the image).
The dimension of a finite-dimensional vector space is the number of elements in any finite basis (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis).
If two finite sets are disjoint, the cardinality of their union is the sum of their cardinalities (The sum rule: a finite disjoint union is finite with and , and a sum over a finite index set splits along a partition, clause 1).
A bijection between finite sets transports their cardinality (The cardinality of a finite set, consequence (c)).
Proof
Choose as in [L2]. Since , [L4] gives . The bijection gives .
Since , , and are bases of , , and , respectively, [L1] and [L3] turn step 1.1 into .
The displayed equivalent form follows by unfolding the definitions of rank and nullity.
Remarks
- If , all three dimensions are zero and the formula reads ; no positive-dimension hypothesis is hidden.
- No finite-dimensionality assumption is made on . The image is finite-dimensional for the reason isolated in Extending a basis of the kernel to a basis of the domain gives a basis of the image.
Depends on
- Rank and nullity of a linear map with finite-dimensional domain
- Extending a basis of the kernel to a basis of the domain gives a basis of the image
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
- The cardinality $\lvert A\rvert$ of a finite set
- The sum rule: a finite disjoint union is finite with $\lvert A \cup B\rvert = \lvert A\rvert + \lvert B\rvert$ and $\lvert\bigcup_{i \in I} A_i\rvert = \sum_{i \in I}\lvert A_i\rvert$, and a sum over a finite index set splits along a partition
Used by
- A regular level set is locally a Cᵏ graph of dimension m-n Corollary
- Codimension-one ideals in nilpotent Lie algebras Corollary
- For an m× n matrix A, rank(A)+dim N(A)=n Corollary
- The rank of a linear map is the number of its nonzero singular values Corollary
- Weak and norm topologies differ on ℓ¹ despite identical convergent sequences Counterexample
- The matrix, left and right radicals, rank, and nondegeneracy of a bilinear form on a finite-dimensional space Definition
- The tangent space to a regular level set Definition
- {1+i, 1-i} is a normal basis of ℂ/ℝ while {1,i} is not Example
- A normal basis of F₈ over F₂ Example
- The orthogonal group is a regular level set of dimension n(n-1)/2 Example
- Artin's fixed-field upper bound [K:K^G]≤ |G| Lemma
- Codimension-one ideal in a nonzero solvable Lie algebra Lemma
- Compact intertwiners produce finite dimensional invariant subspaces Lemma
- Engel's common-zero-vector lemma Lemma
- For a finite Galois extension, (αⱼ) is a base-field basis exactly when the matrix (σᵢαⱼ) is invertible Lemma
- For a subspace U≤ Fⁿ, dim_F U^⊥=n-dim_F U, where U^⊥={x:⟨ x,u⟩=0 for all u∈ U} Lemma
- Kernel and rank sequences of powers stabilise once equality occurs Lemma
- Singular values equal approximation numbers Lemma
- Two dimensional numerical range is convex Lemma
- For a finite-dimensional space, λ is an eigenvalue of T if and only if T-λ I is not invertible Proposition
- A stabilised power splits the space into its kernel and image Theorem
- An Eventown family that no further set can be added to has exactly 2^⌊ n/2⌋ members Theorem
- Assuming choice, ^∘(U^∘)=U; in finite dimension, dim U^∘=dim V-dim U Theorem
- Assuming choice, ker T^*=(imT)^∘ and imT^*=(ker T)^∘; in finite dimensions rankT^*=rankT Theorem
- Complexification preserves kernels, images, finite rank, nullity, and short exact sequences Theorem
- Every finite-dimensional nilpotent endomorphism has a basis of Jordan strings Theorem
- Fredholm alternative for identity minus compact Theorem
- Fredholm index is additive Theorem
- Fredholm index is locally constant Theorem
- Power ranks determine every nilpotent Jordan-block multiplicity Theorem
- Sylvester's law of inertia: every real symmetric form is congruent to diag(Iₚ,-I_q,0ᵣ), and (p,q,r) is unique Theorem
- The best rank-at-most-k approximation in operator norm is the rank-k truncation of a singular value decomposition Theorem
Dependency tree · two levels
40 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- UCLA Algebra Notes, rank-nullity theorem (standard reference, not scraped)
- Axler, Linear Algebra Done Right, 4th ed., Chapter 3 (standard reference, not scraped)