3.2 KiB
Lecture 15
Chapter III Linear maps
Assumption: U,V,W are vector spaces (over \mathbb{F})
Products and Quotients of Vector Spaces 3E
Quotient Space
Idea: For a vector space V and a subspace U. Construct a new vector space V/U which is elements of V up to equivalence by U.
Definition 3.97
For v\in V and U a subspace of V. Then v+U=\{v+u\vert u\in U\} is the translate of U by v. (also called a coset of U)
Example
Let U\subseteq \mathbb{R}^2 be U=\{(x,2x)\vert x\in \mathbb{R}\}, v=(5,3)\in\mathbb{R}^2, v+U=\{(x+3.5, 2x)\vert x\in \R\}
Describe the solutions to (p(x))'=x^2, p(x)=\frac{1}{3}x^3+c. Let u\in \mathscr{P}(\mathbb{R}) be the constant functions then the set of solutions to (p(x))'=x^2 is \frac{1}{3}x^3+U
Definition 3.99
Suppose U is a subspace of V, then the quotient space V/U is given by
V/U=\{v+U\vert v\in V\}
This is not subset of V.
Example:
Let U\subseteq \mathbb{R}^2 be U=\{(x,2x)\vert x\in \mathbb{R}\}, then \mathbb{R}^2/U is the set of all lines of slope 2 in \mathbb{R}^2
Lemma 3.101
Let U be a subspace of V and v,w\in V then the following are equivalent
a) v-w\in U
b) v+U=w+U
c) (v+U)\cap(w+U)\neq \phi
Proof:
a\implies b
Suppose v-w\in U, we wish to show that v+U=w+U.
Let u\in U then v+u=w+((v-w)+u)\in w+U
So v+U\in w+U and by symmetry, w+U\subseteq v+U so v+U=w+U
b\implies c
u\neq \phi \implies v+U=w+U\neq \phi
c\implies a
Suppose (v+U)\cap (w+U)\neq\phi So let u_1,u_2\in U be such that v+u_1=w+u_2 but then v-w=u_2-u_1\in U
Definition 3.102
Let U\subseteq V be a subspace, define the following:
(v+U)+(w+U)=(v+w)+U\lambda (v+U)=(\lambda v)+U
Theorem 3.103
Let U\in V be a subspace, then V/U is a vector space.
Proof:
Assume for now that Definition 3.102 is well defined.
- commutativity: by commutativity on
V. - associativity: by associativity on
V. - distributive: law by
V. - additive identity:
0+U. - additive inverse:
-v+U. - multiplicative identity:
1(v+U)=v+U
Why is 3.102 well defined.
Let v_1,v_2,w_1,w_2\in V such that v_1+U=v_2+U and w_1+U=w_2+U
Note by lemma 3.101
v_1-v_2\in U and w_1-w_2\in U \implies
(v_1+w_1)-(v_2+w_2)\in U \implies
(v_1+w_1)+U=(v_2+w_2)+U=(v_1+U)+(w_1+U)=(v_2+U)+(w_2+U)
same idea for scalar multiplication.
Definition 3.104
Let U\subseteq V. The quotient map is
\pi:V\to V/U, \pi (v)=v+U
Lemma 3.104.1
\pi is a linear map
Theorem 3.105
Let V be finite dimensional U\subseteq V then dim(V/U)=dim\ V-dim\ U
Proof:
Note null\ pi=U, since if \pi(v)=0=0+u\iff v\in U
By the Fundamental Theorem of Linear Maps says
dim\ (range\ \pi)+dim\ (null\ T)=dim\ V
but \pi is surjective, so we are done.
Theorem 3.106
Suppose T\in \mathscr{L}(V,W) then,
Define \tilde{T}:V/null\ T\to \tilde{W} by \tilde{T}(v+null\ T) Then we have the following.
\tilde{T}\circ\pi =T\tilde{T}is injectiverange \tilde{T}=range\ TV/null\ Tandrange\ Tare isomorphic