Register to reply 
Normal space goes to Normal space. 
Share this thread: 
#1
Feb108, 02:10 PM

P: 3,222

here's the question:
prove that if: f:X>Y is onto Y, closed (i.e return closed sets from given closed sets in X) and continuous then if X is Normal (satisfy axioms: T1 and T4) then also Y is Normal. Now I've showed that if X is T1 then Y is T1, but I'm having difficulty with T4. here's what I did: let F,G be disjoint closed sets of Y, then by continuity f^1(F) and f^1(G) are closed in X, and they are disjoint because: f^1(FחG)=f^1(G)חf^1(F), now because X is T4 we have neighbourhoods of f^1(F) and f^1(G) which are disjoint, now I need to show that also F a G have this property, I guess I need to use the onto feature, but how? any hints? 


#2
Feb108, 04:44 PM

P: 532

Your neighbourhoods of f^1(F) and f^1(G) can be chosen to be open. Take their complements, apply f to get two closed sets in Y, then take their complements and show that these open sets separate F and G.



#3
Feb208, 02:23 AM

P: 3,222

you mean, f^1(F), and f^1(G) are contained in U_G and U_F which are open and disjoint in X, and then apply the complement, and then apply f, ok that's what i did before but it got me to nowhere, i.e
f(XU_G) closed and contained in f(Xf^1(G), and the same with F just change the G with F, then I take the complement wrt Y, but now I need to show that: G is contained in Yf(Xf^1(G)) (the same for F), but not sure how to do it i mean, if y is in G and not in Yf(Xf^1(G)) then y is in f(Xf^1(G)) so there's x in Xf^1(G) s.t y=f(x), but then x isnt in f^1(G) thus f(x) isnt in G, a contradiction. ok, i see now, don't know how i got it wrong before... (: 


Register to reply 
Related Discussions  
Converting a vector from world space to local space  Classical Physics  0  
Band diagram in real space vs reciprocal space  Atomic, Solid State, Comp. Physics  3  
Could any curved space be a cut in a higherdimensional flat space ?  Special & General Relativity  11  
Phi normal distribution (how to look normal tables )  Set Theory, Logic, Probability, Statistics  3 