#help me understand compactness
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What do you not understand exactly ? The definition ?
A subset A in any topological space is compact if every open cover of A has a finite subcover
in R^n a subset is compact if and only if it is closed and bounded
there are a myriad of other descriptions as well, e.g every sequence of elements of A contains a subsequence converging in A
be more specific
I understand the definition but I dont understand where it comes from...
in euclidean spaces we have closed and bounded sets
e.g closed intervals
a compact set is supposed to generalise this idea to arbitrary topological space
describe a set that doesn't have any "holes" or missing "limit points" without invoking notions like metric or distance
hello there
another quite vague statement is that in compact sets we can do most things in finite time kind of
at the end of the day everything is a big tautology and we gave it a name so as to not have to refer to "insert well known definition" multiple times
If you ask the question "where is this even used so much for it to be named?" It'd be better
oh yeah
answer that
sorry I forgot about this 💀
okay here's an example
for 2 sets A, B and some point x define the following distances
$H(A, B) =\inf_{(p, q)\in A\times B}d(p, q)$
Cofailure
$H(x, A):=H({x}, A)$
Cofailure
now the question arises
when can we actually find some $x\in A$ and $y\in B$ such that $H(A, B)=d(x, y)?$
Cofailure
we can do this if A is compact and B is closed!
i this case, we can find some p in A such that d(x, p) = H(x, A) if A is closed
but when it is compact we can use the continuity of the distance function f(p) = d(x, p) to claim that this reaches a minima in A
This is another property, might be one of the most commonly used
continuous functions admit maximums and minimums on compact sets
@civic radish you there?
say we have a problem :
There is a complete G(V) where the vertex are labelled by x_i
the happiness of some edge {u, v} is the product of the labels of u and v
the happiness of the graph is the sum of all the happiness' of the edges of G(V)
yeah?
whats G(V)?
the question arises, does a maximal tuple (x_1,...,x_n) exist?
what
okay don't mind it
did you get this?
have to read the "open covers" definition for compactness
yeah i know
kinda
Try to deduce every definition from every other definition in a metric space setting
like show that X sequentially compact <=> open cover criterion <=> complete and totally bounded
oh I haven't studied compactness in continuity
I think I've done most of this
but
isn't the sequentially compact -> open cover compact too hard?
my prof skipped it
it isn't hard at all
it's comparatively easier than most of the other results regarding compactness
but that's completely subjective
you shouldn't skip it because it might be hard @civic radish, you need to know that to get the whole picture
try to grok the intuition behind proofs too, taking examples in R2 is a good strat
But that is euclidean so try taking some other obscure metrics
no he said it requires other concepts which we don't have time to cover
asking chatgpt for examples is good as well
and I have a exam tomorrow so I will see it latee
you should self study it
yeah would after the exam
what's the exam on
rudin chapters 1,2,3,4 -{connectedness, series}
Send me the paper too I want to attend it like an exam
sure
bad idea, you might not recognise mistakes
the way of the chatgpt is to search up it's examples online
oh lawd ave mercy :/
but at that point sometimes googling directly helps
also https://topology.pi-base.org/properties/P000016 just leaving it here
@civic radish when can i get the exam paper