5.a) Given a vector space V, when is a subset T ⊆ V of V said to be a vector subspace of V?
b) Given a linear transformation V "\\to" W show that the kernel Ker f of f is a subspace of V
c) Given any linear transformation
V "\\to" W show that the subsetI m[f] ={y∈W y=f(x), for some x∈V} is a vector subspace of W
d) Given any linear transformation V "\\to" W, show that f is one-to-one, if and only if, its kernel is trivial i.e, Ker f={0}
e) Given a linear transformation V "\\to" W between finite dimensional vector spaces, show that dim Ker f + dim Im[f] =dim V
Hint: Show Ker f is finite dimensional and then starting with a basis Bo for Ker f extend to a basis of V
(a) A subset T of a vector space V is a subspace of v if:
- T is non-empty
-For every v,t "\\in" T and scalars
a,b "\\in" "R"
av+bt "\\in" T
Implying that a non- empty subset of v is a subspace if it is closed under linear combination
(b) Suppose u,v are in ker (f)
(1) f(u+v) = f(u)+f(v) = 0+0=0
(11) For a scalar, c
f(cv) =cf(v)=c.0=0
(iii)f(0)=f{(v)+(-v)}=f(v)+f(-v) =0+0=0
Therefore ker(f) is closed under zero, addition and multiplication
(c) Let y₁ and y2 "\\in" im (f) and let r₁
,r2 be scalars
Consider r1y1+r2y2
There exist x1 and x2 "\\in" v such
y1=f(x1) and y2=f(x2) and
that r₁f(x1)+r₂f(x2)= f(r₁x₁)+f(r2x2)
=f(r₁x1+r₂x2)
But f(r1x1+r2x2)"\\in" Im (f)
Hence linear combination of y₁ and y2 is in Im (f)
Therefore Im (f) is a subspace of w
(d)
Let ker (f)={0}
Let f(x)=f(y) for x,y "\\in" V
f(x)-f(y)=0
f(x-y)=0
"\\therefore (x-y)\\in" ker f
x-y=0
x=y
(e)
Let dim(Ker(f)) =k , dim(v)=n and n>k
Let Bo= {v1,...,vk} be a basis for ker (f)
Extending this basis to a full basis of V,
(n-k) vectors are added to the basis of the ker (f) to create a basis for V
Basis of V, Bv= {v1,...,vk,vk+1,...,vn}
The Image of f
Im [f]={f(v1),...,f(vk),f(v)k+1,...,f(vn)}
As v1,...,vk are in the kernel, f(v1),...,f(vk)=0
Therefore the basis for the Image of f is
{f(vk+1),...,f(vn)}
And it spans the range of f
Suppose there exists ak+1,…,an∈R ,not all zero such that
ak+1f(vk+1)+⋯+anf(vn)=0.
Using linearity of f, this is equivalent to f(ak+1vk+1+1+⋯+anvn)=0,
ak+1vk+1+⋯+anvn∈kerf
thus there exists b1,…,bk∈R
not all zero such that
ak+1vk+1+⋯+anvn=b1v1+⋯+bkvk
"\\implies" All the constants are zero, which proves linear independence of
{f(vk+1),. . . . .f(vn)
"\\therefore" dim ker f + dim Im [f] = dim v
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