(1) To prove that (H,⋅) is a group we must show that the following properties hold:
Closure: if A,B∈H then A⋅B∈H. To show this note that any upper triangular matrix A has the property ⎣⎡100a10bc1⎦⎤=⎣⎡1dea1fbc1⎦⎤⊙⎣⎡100110111⎦⎤
where ⊙ denotes the Hadamard product of two matrices and the first matrix is non-singular. In index notation we write this as Aij=aij1j≥i
where 1statement=1 if the statement is true and zero otherwise. Then (A⋅B)ij=k=1∑nAikBkj=k=1∑naikbkj1k≥i1j≥k=k=1∑naikbkj1j≥i=(a⋅b)ij1j≥i
and so, A⋅B∈H.
Since H is a subspace of the vector space of 3×3 matrices it inherits associativity and the identity element.
The inverse A−1 of A∈H must have the property A⋅A−1=A−1⋅A=I,A−1∈H.
We note that (A⋅A−1)ij=k=1∑naikakj−11k≥i1j≥k=k=1∑nδij1k≥i1j≥k=δij
where δij=1 if i=j and zero otherwise. Therefore the inverse exists and is an element of H. The following explicit form of the inverse ⎣⎡100a′10b′c′1⎦⎤
satisfies the diagonal and lower triangular conditions. For the upper triangular elements we must have a′+ab′+ac′+bc′+c=0=0=0
and so A−1=⎣⎡100−a10ac−b−c1⎦⎤.
If (H,⋅) is abelian then A⋅B=B⋅A or (A⋅B)ij(B⋅A)ij=k=1∑naikbkj1k≥i1j≥k=1j≥ik=1∑naikbkj=1j≥i(a⋅b)ij,=k=1∑nbikakj1k≥i1j≥k=1j≥ik=1∑nbikakj=1j≥i(b⋅a).
Since a⋅b=b⋅a we conclude that H is not abelian.
(2) If a∈G1 then from the definition of e1 ϕ(ae1)=ϕ(a)∈G2
and since ϕ is a homomorphism ϕ(ae1)=ϕ(a)ϕ(e1).
Hence ϕ(a)ϕ(e1)=ϕ(a)
and we conclude that ϕ(e1)=e2.
Since aa−1=e1 ϕ(aa−1)=ϕ(a)ϕ(a−1)=ϕ(e1).
We have already shown that ϕ(e1)=e2. Therefore ϕ(a−1)=ϕ(a)−1.
(3) For any A∈H, elements a,b,c∈R. Since if b∈R, eib generates all elements of S1 we conclude that ϕ is surjective.
To prove that (G,⋅) first note that closure is a consequence of the closure of R w.r.t. addition and multiplication and the fact that if u1,u2∈S1 then, since eix1y2∈S1, eix1y2u1u2∈S1 (closure of S1 under multiplication). To prove associativity write ((x1,y1,u1)⋅(x2,y2,u2))⋅(x3,y3,u3)==(x1+x2,y1+y2,eix1y2u1u2)⋅(x3,y3,u3)==(x1+x2+x3,y1+y2+y3,ei(x1+x2)y3eix1y2u1u2u3)==(x1+(x2+x3),y1+(y2+y3),eix1(y2+y3)u1(eix2y3u2u3))==(x1,y1,u1)⋅(x2+x3,y2+y3,eix2y3u2u3)==(x1,y1,u1)⋅((x2,y2,u2)⋅(x3,y3,u3)).
The identity element of G, (0,0,1) borrows the identity elements of(R,+) and (S1,⋅). The inverse of (x,y,u) must have the property (x,y,u)⋅(x′,y′,u′)=(x+x′,y+y′,eixy′uu′)=(0,0,1)
and so x′=−x,y′=−y,u′=eixyu−1. ϕ is a homomorphism if for A,B∈H ϕ(A⋅B)=ϕ(A)⋅ϕ(B).
Since ⎣⎡100a10bc1⎦⎤⎣⎡100d10ef1⎦⎤=⎣⎡100a+d10af+b+ec+f1⎦⎤,
we have ϕ(A⋅B)=(a+d,c+f,ei(af+b+e))=(a,c,eib)⋅(d,f,eie)=ϕ(A)⋅ϕ(B). (4) We are looking for a set of matrices A∈H such that ϕ(A)=(0,0,1)
the identity element in G. From the definition of ϕ we must have a=0,c=0,b=2πn
where n∈Z. For any A∈kerϕ we can write A=I+2πne1e3T where e1T=(1,0,0) and e3T=(0,0,1). Closure follows since if A,B∈kerϕ A⋅B=(I+2πne1e3T)⋅(I+2πme1e3T)=I+2π(n+m)e1e3T+(2π)2nme1e3Te1e3T,e3Te1=0=I+2π(n+m)e1e3T∈kerϕ.
Associativity is inherited; the identity element is I (n=0) while the inverse of A=I+2πne1e3T is A−1=I−2πne1e3T. Hence kerϕ is a subgroup of H.
Problem 2.2.
To check that mZ={mk∣k∈Z} is an abelian subgroup of Z first note that mk1+mk2=m(k1+k2) (closure). Addition is commutative/associative in Z and mZ inherits these properties. It also inherits the identity element (k=0) and the inverse (k−1=−k).
(1)ϕ(mk):=k; this is an homomorphism since ϕ(mk1+mk2)=ϕ(m(k1+k2))=k1+k2=ϕ(mk1)+ϕ(mk2).
Since kerϕ={0} it is also an isomorphism. (2) If i(mk):=mk then i(mk1+mk2)=i(m(k1+k2))=m(k1+k2)=mk1+mk2=i(mk1)+i(mk2)
hence the inclusion map is a group homomorphism. If p:Z→mZ is a homomorphism then p(l1+l2)=p(l1)+p(l2)=mk1+mk2
where l1,l2,k1,k2∈Z (for example k=⌊l/m⌋). If p∘i=id then p is the left inverse of i. By Proposition 2.16 i must be an isomorphism. However, unless m=1, i is not an isomorphism since it is not surjective.
Problem 2.3.
As defined E is an abelian group w.r.t. +.
From the definition of ⋅ we have λ⋅((x1,y1)+(x2,y2))=λ⋅(x1+x2,y1+y2)=(λ(x1+x2),y1+y2)=(λx1+λx2,y1+y2)=(λx1,y1)+(λx2,y2)=λ⋅(x1,y1)+λ⋅(x2,y2)
so axiom (V1) holds. (λ+μ)⋅(x,y)=((λ+μ)x,y)=(λx+μx,y)=(λx,y)+(μx,0)=λ⋅(x,y)+μ⋅(x,0)=λ⋅(x,y)+μ⋅(x,y)
so axiom (V2) fails. (λμ)⋅(x,y)=((λμ)x,y)=(λ(μx),y)=λ⋅(μx,y)=λ⋅(μ⋅(x,y))
so axiom (V3) holds. 1⋅(x,y)=(1∗x,y)=(x,y)
so axiom (V4) holds.
Problem 2.4.
(1) Below we (mostly) omit steps that use the properties of a field. α⋅0=α⋅(u−u),any vector u has an additive inverse=α⋅u−α⋅u,(V1)=0,the additive inverse of α⋅u is −α⋅u 0⋅v=(α−α)⋅v,K is a field=α⋅v−α⋅v,(V2)=0,the additive inverse of α⋅v is −α⋅v α⋅(−v)=α⋅(−1⋅v)=(α∗−1)⋅v,(V3)=−(α⋅v) (−α)⋅v=(−1∗α)⋅v=−1⋅(α⋅v),(V3)=−(α⋅v),the additive inverse of α⋅v is −1⋅(α⋅v)
(2) Axiom (V2) states that α⋅(u+v)=α⋅u+α⋅v
where u,v are vectors and α is a scalar. Then α⋅x=α⋅(x1e1+x2e2+⋯+xnen)=α⋅(x1e1+(x2e2+⋯+xnen))=α⋅(x1e1)+α⋅(x2e2+⋯+xnen)⋮=α⋅(x1e1)+⋯+α⋅(xn−2en−2)+α⋅(xn−1en−1+xnen)=α⋅(x1e1)+⋯+α⋅(xnen).
Since for any i=1,2,…,n, α⋅(xiei)=α⋅(xi⋅ei)=(α∗xi)⋅ei=(xi∗α)⋅ei=xi⋅(α⋅ei)
given {α⋅ei}i=1n we can determine the result of scalar multiplication on any vector by its action on the basis vectors. (3) Lets work backwards. We want to define scalar multiplication so that 1⋅u=u;
if we denote 1⋅u=ν(u) then if axiom (V3) holds (1∗1)⋅u=1⋅(1⋅u)=1⋅ν(u)=ν2(u).
Since 1∗1=1 we conclude that ν(u)=ν2(u) and so, in this setting, scalar multiplication must be a projection. One example is α⋅x=(αx1,…,αxn−1,0)
which for α=1 gives the desired result. All other axioms follow; for example α⋅(x+y)=(α(x1+y1),…,α(xn−1+yn−1),0)=(αx1,αxn−1,0)+(αy1,…,αyn−1,0)=α⋅x+α⋅y. (4) If n∈N then according to (V2) n⋅u=1⋅u+…+1⋅u=n(1⋅u).
Next use (V3): 1⋅u=(n1∗n)⋅u=n1⋅(n⋅u)=n1⋅(n(1⋅u)).
This is possible only if n1⋅u=n1(1⋅u).
A rational number r=m/n where m,n∈N; then nm⋅u=(m∗n1)⋅u=m⋅(n1⋅u)=m⋅(n1(1⋅u))=n1(m⋅(1⋅u))=n1(1⋅(m⋅u))=n1(1⋅m(1⋅u))=nm(1⋅(1⋅u))=r((1∗1)⋅u)=r(1⋅u).
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