Continuous Function: Showing f is Continuous

  • Thread starter Thread starter CarmineCortez
  • Start date Start date
  • Tags Tags
    Continuous Function
CarmineCortez
Messages
30
Reaction score
0
I have an assignment question

" let (X,d) be a metric space. a is element of X. Define a function f maps X -> R by f(x) = d(a,x). show f is continuous."

I'm not sure what this function looks like. Is f(x) = sqrt(a^2+x^2) and if it is I need abs(x-a) < delta?? I'm confused.
 
Physics news on Phys.org
CarmineCortez said:
I'm not sure what this function looks like. Is f(x) = sqrt(a^2+x^2)

That would be one possibility, but the problem, as written, is not specific to a particular metric. You need to show the result for an arbitrary metric. Note that all metrics have the following 4 properties:

1) d(x,y) \geq 0
2) d(x,y) = 0 if and only if x = y
3) d(x,y) = d(y,x)
4) d(x,z) \leq d(x,y) + d(y,z)

CarmineCortez said:
and if it is I need abs(x-a) < delta?? I'm confused.

What you want to show is that if |f(x) - f(y)| &lt; \epsilon, then there exists some \delta such that d(x,y) &lt; \delta. Given the construction of f(x) used here, I would expect property 4 (aka the Triangle Inequality) to be useful here.

Sorry - LaTeX rendering seems to be broken. Please refer to the underlying text in the meantime (hit quote and you will see it).
 
I think I have it now, is delta = epsilon? from the triangle inequality? if d(a,x),d(a,x_o) < epsilon/2
 
Last edited:
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