dimension

the dimension of a vector space is the number of elements in one of its bases. we write where is a basis of .
  • .
  • .
  • .
let be a linear transformation. then
[cite:;taken from @calc_hubbard_2015 theorem 2.5.8 dimension formula]
[cite:;also in @algebra_insel_2019 theorem 2.3 dimension theorem]
number of free variables.
let be a finitely spanned vector space, let then:
let be a vector space of dimension , for every subset that has elements the following statements are equal:
  1. is linearly independant,
  2. .
we prove
given is linearly independant, we need to prove
let , a basis of ,
let
we know according to previous lemmas that therefore is linearly dependant
since is linearly dependant then we have the following non-trivial linear combination that gives us :
we know because otherwise another would be equal to 0 and wouldnt be linearly independant
by manipulating the expression we get:
therefore therefore
we prove
given
assume in contradiction that is linearly dependant
according to a previous lemma we there exists that is linearly independant such that therefore is a basis therefore
we arrived at a contradiction becacuse
if and , if or is linearly independant then is a basis of
given is finitely spanned, if then .
according to the previous lemma, since is finitely spanned then is finitely spanned too which means has a basis and a dimension
we assume in contradiction that
assume is a basis of , then we know
assume where is a basis of , then we know which means is linearly independant but it cant be because we have a set where with less elements that is linearly independant so a set with cant be linearly independant
[cite:;also in @algebra_insel_2019 theorem 1.11]
given is finitely spanned, and then
let be a basis of and so and is linearly independant therefore according to [[n_subset_is_basis][this lemma]] and since it spans and is of size then it is a basis of
if is finitely spanned and then for every basis of there exists a basis of such that
we call this operation as complementing the basis to the basis
let and be finite-dimensional vector spaces of equal dimension, and let be linear. then the following are equivalent.
  • is one-to-one.
  • is onto.
  • .
[cite:;taken from @algebra_insel_2019 theorem 2.5]