Free vector space generated by
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[hide]Definition
Let S be a set and let F be a field. The "free vector space over F generated by S", denoted FF(S)[Note 1] or F(S;F)[Note 1] is defined as follows[1]:
- F(S;F) is the set of all formal linear combinations of elements of S
- F(S;F) is a vector space under the operations of pointwise addition and the obvious scalar multiplication as follows:
- Addition: let f,g∈F(S;F) then (f+g):S→F is given by (f+g):s↦f(s)+g(s)
- This addition is defined as both f(s),g(s)∈F and a field has addition
- Scalar multiplication: let λ∈F and f∈F(S;F) be given, then we define (λf):S→F by (λf):s↦λf(s)
- Again, λ,f(s)∈F and as F is a field, this notion of multiplication is defined.
- Addition: let f,g∈F(S;F) then (f+g):S→F is given by (f+g):s↦f(s)+g(s)
Formal linear combinations
Let S be a set and let F be a field[Note 2], then[1]:
- Informally[Note 3] a formal linear combination is an expression of the form:
- λ1s1+λ2s2+⋯+λm−1sm−1+λmsm=m∑i=1λisi
- for some m∈N, some λi∈F and some si∈S
- We never actually define λs (the multiplication of s∈S by a λ∈F) nor do we define any sort of "addition" operation, this is simply an expression.
- We want it to behave as a linear combination normally would, i.e.:
- For example: (λ1s1+λ2s2)+(μ1s1+μ2s3+μ3s4)=αs1+λ2s2+μ2s3+μ3s4say, where α:=λ1+μ1 - which is defined as λi,μj∈F remember. And
- For example: μ(λ1s1+⋯+λnsn)=α1s1+⋯+αnsnwhere αi:=μλi - which is defined as λi,μ∈F of course.
- For example: (λ1s1+λ2s2)+(μ1s1+μ2s3+μ3s4)=αs1+λ2s2+μ2s3+μ3s4
- Even though we can never give it a value
- λ1s1+λ2s2+⋯+λm−1sm−1+λmsm=m∑i=1λisi
- Formally, a formal linear combination of elements of S with respect to the field F is a function[1]:
- f:S→F such that |{s∈S | f(s)≠0}|∈NWarning:[Note 4], [Note 5] (where |⋅| denotes cardinality)
- That is to say f takes non-zero values a finite number of times only, it is zero "almost everywhere"
- f represents ∑s∈Sf(s)sas a linear combination, even if the sum were formally defined to have meaning, we still use the usual abuse of notation when only finitely many elements of the summation are non-zero whereby ∑s∈Sf(s)smeans ∑s∈Sf(s)≠0f(s)s, hence the requirement that f only maps finitely many things to non-zero things.
- f:S→F such that |{s∈S | f(s)≠0}|∈NWarning:[Note 4], [Note 5] (where |⋅| denotes cardinality)
Characteristic property
Characteristic property of the free vector space/Statement
Notes
- ↑ Jump up to: 1.0 1.1 From Books:Introduction to Smooth Manifolds - John M. Lee's notation F(S) for the free vec space over R, we don't specify the field though, so both of these are sensible notations
- Jump up ↑ We could probably step back and define this the same way on a ring, as a field is itself a ring it'd be the same thing. Modules are very similar to vec spaces after all
- Jump up ↑ Ignore the "informally a formal ..."
- Jump up ↑ Caveat:Be aware that |{f(s)≠0 | s∈S}|∈N is different to |{s∈S | f(s)≠0}|∈N as the first set is the number of non-zero things the function maps to not the number of things that map to non-zero things. For example:
- if we take the function f:N→N given by f:n↦{0if n is odd1otherwise then |{f(n)≠0 | n∈N}|∈N indeed holds, as |{1}|=1 however |{n∈N | f(n)≠0}|∈N doesn't hold as the set of even numbers is not finite.
- Jump up ↑ Zero here denotes the "additive identity" of the field, F