2.3.5 Tensor Vector Space Algebraic Laws
Tensor Vector Space Algebraic Laws define how tensors interact within vector spaces, establishing foundational rules for operations like multiplication and contraction.
Tensor Vector Space Algebraic Laws is the collection of identities that jointly govern how tensor addition and scalar action interact within the space of tensors of a fixed type, establishing that this space obeys the same algebraic laws as any abstract vector space over a field. These laws are not independent postulates layered on top of tensors; each one follows from the pointwise, componentwise nature of the two operations, yet stating them explicitly is what licenses treating tensors of a given type as ordinary vectors for all purposes of linear algebra.
Setting and Notation
The Ambient Space
Let be a finite-dimensional vector space over a field , and let denote the space of tensors of type . The laws below are asserted for arbitrary tensors and arbitrary scalars .
Additive Laws
Commutativity of Addition
This holds because the sum is defined by adding scalar outputs of the field , and addition in is commutative.
Associativity of Addition
As with commutativity, this reduces to associativity of addition in , applied pointwise on every input tuple.
Additive Identity
There exists a zero tensor, the multilinear map sending every input tuple to , satisfying
for every .
Additive Inverses
Every tensor has an inverse , obtained by negating every output value, such that
Together, these four laws make an abelian group under addition.
Scalar Action Laws
Compatibility with Field Multiplication
Applying the scalar action twice in succession agrees with applying the scalar action once by the product of the two scalars in .
Multiplicative Identity
The multiplicative identity of acts as the identity transformation on every tensor.
Distributive Laws
Distributivity over Tensor Addition
A single scalar distributes across a sum of two tensors.
Distributivity over Scalar Addition
A single tensor distributes across a sum of two scalars. These two distributive laws together ensure that linear combinations of tensors, with coefficients drawn from , can be freely expanded and regrouped.
Componentwise Justification
Reduction to Field Arithmetic
Once a basis of is chosen, every tensor of type is represented by an indexed array of components in , and both addition and scalar action act entrywise on these components. Each of the algebraic laws above therefore reduces, coordinate by coordinate, to the corresponding field axiom applied to individual components, which is why no separate proof is needed beyond the arithmetic of itself.
Invariance Under Change of Basis
Since the component transformation law relating two bases is linear, and all of the laws above are linear identities in the tensors and scalars involved, verifying an algebraic law in one basis is sufficient to establish it in every basis; no law depends on the particular coordinate system used to express the tensors.
Consequence: Vector Space Status
Complete Axiom List
The additive laws, the scalar action laws, and the distributive laws together constitute the full list of vector space axioms. Their joint validity is precisely the statement that , equipped with tensor addition and scalar action, is a vector space over of dimension , where is the dimension of .
Downstream Applicability
Because these laws hold, every construction available in general linear algebra, linear combinations, spanning sets, bases, linear independence, subspaces, and linear maps, applies without modification to tensors of a fixed type, forming the foundation on which further tensor algebra operations, such as the tensor product and contraction, are subsequently built.