The zero vector of a vector space is its additive identity: v+0=0+v=v for every vector v. It is unique, because if 0′ is another such identity then 0=0+0′=0′. Distributivity gives α0=α(0+0)=α0+α0, so α0=0 after cancellation. In a coordinate vector space it has every coordinate zero.
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- Additive identity
- Cartesian frame
- Constant function
- Dot product
- Euclidean vector
- Gram-Schmidt process
- Kernel of a linear map
- Linear independence
- Linear independence of nonzero orthogonal vectors
- Null direction of a linear map
- Orthogonal projection onto a finite-dimensional subspace
- Orthogonal vectors
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- Plane
- Scalar projection
- Schwarzschild time-translation Killing field in Kruskal coordinates
- Tangent plane
- Tangent vector
- Trivial kernel
- Uniqueness of linear combination coefficients
- Unit vector
- Vector addition
- Vector normalization
- Vector space
- Vector space axioms
- Vector subspace
- Zero polynomial
- Zero vector
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