Dimension
Definition
Let be a field and let be a finite-dimensional vector space over . The dimension of over , written or , is the number of vectors in a basis of . For an arbitrary vector space, the dimension is the cardinality of a basis.
Remarks
The number is well defined, by the dimension theorem for vector spaces.
The zero space has the empty basis and dimension .
The dimension depends on the field: , but .
Mathlib writes Module.finrank F V for the dimension as a natural number, with value for infinite-dimensional spaces.
Explanations
L1 human
The dimension counts the independent directions in a space. A line has dimension , a plane has dimension , and ordinary space has dimension . Every basis of a space has this same number of vectors.
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What this needs
To read this node, read these 9 nodes in this order. The foundations come first, and the list ends with this node.
- no evidence level
- Vector space definition
- Linear combination definition
- Linear subspace definition
- Linear independence definition
- Linear span definition
- Spanning set definition
- Basis definition
- Finite-dimensional vector space definition
- Dimension definition
What depends on this
23 nodes use this node, directly or through other nodes.
- Nullity 00K4FK4NBH
- Rank of a product of matrices 02FDWY55AS
- Dimension of a direct product 06HN47VPTH
- Grassmann's formula 06HTJNCMPA
- Dimension of the annihilator 06Q1EFVH0Q
- Geometric multiplicity 06YSJVR356
- An injective endomorphism of a finite-dimensional space is surjective 0912EEEVCT
- Linearly independent set of the right size is a basis 096V7H13H9
- Classification of complex quadratic forms 0CEX9BRXRZ
- Dimension of the orthogonal complement 0E2NYPVSP9
- Rank of a matrix 0EWQEYRVA8
- Rouché–Capelli theorem 0HV1SKWPMS
- Rank of a linear map 0JGB7A6GTS
- Orthogonal complement of the orthogonal complement 0PXN9G4MX1
- Dimension of the coordinate space 0QK7FPE6VE
- Dimension of a subspace 0QW084460E
- Dimension of a tensor product 0R84PF4JV7
- Dimension of a quotient space 0SXDQ6TN00
- Row rank equals column rank 0TZAG60ZYT
- Finite-dimensional spaces are isomorphic iff they have equal dimension 0VJBSK15SN
- Rank–nullity theorem 0W4FSW1TVB
- A subspace of full dimension is the whole space 0WGAXEK99E
- Dimension of the space of linear maps 0Z9N1ER0W0
Sources
What links here
Used by
- Nullity 00K4FK4NBH
- Dimension of a direct product 06HN47VPTH
- Grassmann's formula 06HTJNCMPA
- Dimension of the annihilator 06Q1EFVH0Q
- Geometric multiplicity 06YSJVR356
- Linearly independent set of the right size is a basis 096V7H13H9
- Dimension of the orthogonal complement 0E2NYPVSP9
- Rank of a matrix 0EWQEYRVA8
- Rank of a linear map 0JGB7A6GTS
- Dimension of the coordinate space 0QK7FPE6VE
- Dimension of a subspace 0QW084460E
- Dimension of a tensor product 0R84PF4JV7
- Dimension of a quotient space 0SXDQ6TN00
- Finite-dimensional spaces are isomorphic iff they have equal dimension 0VJBSK15SN
- A subspace of full dimension is the whole space 0WGAXEK99E
- Dimension of the space of linear maps 0Z9N1ER0W0