이 포스트에서 V,WV,W는 모두 FF-벡터공간으로 취급한다.
Coset
Definition 1. Let W≤VW≤V. ∀v∈V∀v∈V, the set {v}+W:={v+w|w∈W}{v}+W:={v+w|w∈W} is called the coset of WW containing vv.
It is customary to denote this coset by v+Wv+W rather than {v}+W{v}+W.
Theorem 1
Theorem 1. Let W≤VW≤V, and let v+Wv+W be a coset of WW containing vv.
(a) v+W≤V⟺v∈W.v+W≤V⟺v∈W.
(b) Let v1,v2∈V.v1,v2∈V. Then v1+W=v2+W⟺v1−v2∈W.v1+W=v2+W⟺v1−v2∈W.
Proof.
(a) Assume that v+Wv+W is a subspace of VV. Let u∈v+Wu∈v+W. Then ∃w∈W∃w∈W such that u=v+wu=v+w. Note that u+v=v+(v+w)∈v+W.u+v=v+(v+w)∈v+W. Since WW is a subspace of VV, v∈Wv∈W.
Assume that v∈Wv∈W. Then v+(−v)=0∈v+Wv+(−v)=0∈v+W. Let x,y∈v+Wx,y∈v+W and c∈Fc∈F. Then ∃w1,w2∈W∃w1,w2∈W such that x=v+w1,y=v+w2.x=v+w1,y=v+w2. Hence cx+y=c(v+w1)+(v+w2)=v+(cv+cw1+w2).cx+y=c(v+w1)+(v+w2)=v+(cv+cw1+w2). Since cv+cw1+w2∈Wcv+cw1+w2∈W, cx+y∈v+Wcx+y∈v+W. Thus v+Wv+W is a subspace of VV.
(b) Assume that v1+W=v2+Wv1+W=v2+W. Let u∈v1+Wu∈v1+W. Then ∃w1∈W∃w1∈W such that u=v1+w1u=v1+w1. Since u∈v2+Wu∈v2+W, ∃w2∈W∃w2∈W such that u=v2+w2u=v2+w2, and so u=v1+w1=v2+w2.u=v1+w1=v2+w2. Hence (v1−v2)+(w1−w2)=0∈W.(v1−v2)+(w1−w2)=0∈W. Since (w1−w2)∈W(w1−w2)∈W, (v1−v2)∈W(v1−v2)∈W.
Assume that v1−v2∈Wv1−v2∈W. Let u∈v1+Wu∈v1+W. Then ∃w∈W∃w∈W such that u=v1+wu=v1+w. Note that u=v2+(v1−v2+w)∈v2+Wu=v2+(v1−v2+w)∈v2+W. Thus v1+W⊆v2+W.v1+W⊆v2+W. In the same manner, it is easily seen to v2+W⊆v1+Wv2+W⊆v1+W. Thus v1+W=v2+W.v1+W=v2+W. ◼
Quotient Space
Definition 2. We define the quotient space of V modulo W, denoted V∖W, by V∖W={v+W|v∈V}.
Theorem 2
Theorem 2. The quotient space of V modulo W is a vector space with the following operations: (v1+W)+(v2+W)=(v1+v2)+W,∀v1,v2∈Va(v+W)=av+W,∀v∈V,a∈F.
Reference is here: https://product.kyobobook.co.kr/detail/S000003155051
Linear Algebra | Stephen Friedberg - 교보문고
Linear Algebra | For courses in Advanced Linear Algebra. This top-selling, theorem-proof text presents a careful treatment of the principle topics of linear algebra, and illustrates the power of the subject through a variety of applications. It emphasizes
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