Question about a measure of a set

  • Thread starter Thread starter cragar
  • Start date Start date
  • Tags Tags
    Measure Set
cragar
Messages
2,546
Reaction score
3
Could we use the fact that all countable sets have zero measure
to prove that their must be a larger infinity.
we know countable sets have measure zero because I could just start by making
boxes around each number and then add up their widths.
For the first number I will make a box that has width \frac{\epsilon}{2}
and then each box will have half the width of the previous box.
so the sum will be \epsilon(1/2+1/4+1/8...)
and i can make \epsilon as small as I want.
This proof comes from Gregory Chaitin.
If the reals were countable they would have measure zero, but we know this isn't true
because the reals have positive width. Can i do this to prove there is a larger infninty than countable.
 
Physics news on Phys.org
cragar said:
Could we use the fact that all countable sets have zero measure
to prove that their must be a larger infinity.
we know countable sets have measure zero because I could just start by making
boxes around each number and then add up their widths.
For the first number I will make a box that has width \frac{\epsilon}{2}
and then each box will have half the width of the previous box.
so the sum will be \epsilon(1/2+1/4+1/8...)
and i can make \epsilon as small as I want.
This proof comes from Gregory Chaitin.
If the reals were countable they would have measure zero, but we know this isn't true
because the reals have positive width. Can i do this to prove there is a larger infninty than countable.

Short answer - yes. The only objection, compared to Cantor proof, is that it is necessary to develop measure theory first.
 
ok thanks for your answer. Instead of using measure theory could I just talk about lengths and use convergence of this infinite series.
 
cragar said:
ok thanks for your answer. Instead of using measure theory could I just talk about lengths and use convergence of this infinite series.
Yes - although if you look at it closely you will find you are using some elementary facts from measure theory.
 
ok thanks
 
Namaste & G'day Postulate: A strongly-knit team wins on average over a less knit one Fundamentals: - Two teams face off with 4 players each - A polo team consists of players that each have assigned to them a measure of their ability (called a "Handicap" - 10 is highest, -2 lowest) I attempted to measure close-knitness of a team in terms of standard deviation (SD) of handicaps of the players. Failure: It turns out that, more often than, a team with a higher SD wins. In my language, that...
Hi all, I've been a roulette player for more than 10 years (although I took time off here and there) and it's only now that I'm trying to understand the physics of the game. Basically my strategy in roulette is to divide the wheel roughly into two halves (let's call them A and B). My theory is that in roulette there will invariably be variance. In other words, if A comes up 5 times in a row, B will be due to come up soon. However I have been proven wrong many times, and I have seen some...
Back
Top