Verifying pointwise convergence of indicator functions

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SUMMARY

The discussion focuses on the pointwise convergence of indicator functions, specifically the claim that the indicator function $\chi_{B(r,x)}$ converges to $\chi_{B(r_0,x_0)}$ on $\mathbb{R}^n \setminus S(r_0,x_0)$. Participants analyze the conditions under which this convergence holds, particularly examining cases where $|y-x_0|r_0$. The proof involves leveraging the triangle inequality and the continuity of sequences $(x_n)$ and $(r_n)$ converging to $x_0$ and $r_0$, respectively. The discussion concludes that the jump discontinuity at the sphere $S(r_0,x_0)$ prevents convergence on that boundary.

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  • Understanding of Lebesgue measure and its properties
  • Familiarity with indicator functions and their convergence
  • Knowledge of triangle inequalities in metric spaces
  • Experience with sequences and limits in real analysis
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  • Study Lebesgue measure and its applications in real analysis
  • Explore the properties of indicator functions in functional analysis
  • Learn about pointwise convergence and uniform convergence of functions
  • Investigate the implications of discontinuities in convergence proofs
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Mathematicians, particularly those specializing in real analysis, measure theory, and functional analysis, will benefit from this discussion. It is also relevant for students preparing for advanced topics in analysis and convergence theorems.

psie
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TL;DR
I'm stuck at something fairly basic I think. Let ##B(r,x)## be an open ball of radius ##r## and center ##x## in ##\mathbb R^n##. It is claimed that ##\chi_{B(r,x)}\to\chi_{B(r_0,x_0)}## pointwise as ##r\to r_0## and ##x\to x_0## on ##\mathbb R^n\setminus S(r_0,x_0)##, where ##S(r_0,x_0)## is the sphere ##\{y:|y-x_0|=r_0\}##. I am stuck showing this.
I'm reading a proof of a lemma that $$A_rf(x)=\frac1{m(B(r,x))}\int_{B(r,x)}f(y)\,dy,$$where ##m## is Lebesgue measure, is jointly continuous in ##r## and ##x## (##A## stands for average). The claim that ##\chi_{B(r,x)}\to\chi_{B(r_0,x_0)}## on ##\mathbb R^n\setminus S(r_0,x_0)## is made in the proof. I think there are two cases to consider. Let ##y\in \mathbb R^n\setminus S(r_0,x_0)##.
  1. ##|y-x_0|<r_0##, i.e. ##\chi_{B(r_0,x_0)}(y)=1##. Is it then also true that for some sequences ##(x_n),(r_n)## that converge to ##x_0,r_0## respectively, that ##|y-x_n|<r_n## for large enough ##n##? Why? If yes, then ##\chi_{B(r_n,x_n)}(y)=1## for large enough ##n## too.
  2. Similarly, if ##|y-x_0|>r_0##, is it then true that ##|y-x_n|>r_n##?
Also, why does ##\chi_{B(r,x)}\not\to\chi_{B(r_0,x_0)}## on the sphere ##S(r_0,x_0)##?
 
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My intuition says 1) yes, 2) possibly, and 3) because you cannot avoid the jump from ##0## to ##1## on the sphere as there is no neighborhood completely contained in either region. However, I have to consider the triangle inequalities in detail. I think the answer to 3) is the key to the first two questions.
 
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fresh_42 said:
My intuition says 1) yes, 2) possibly, and 3) because you cannot avoid the jump from ##0## to ##1## on the sphere as there is no neighborhood completely contained in either region. However, I have to consider the triangle inequalities in detail. I think the answer to 3) is the key to the first two questions.
Ok. I agree, I don't see how to derive ##|y-x_n|<r_n## from the triangle inequality given ##|y-x_0|<r_0## and ##x_n\to x_0,r_n\to r_0##. It doesn't lead anywhere: $$|y-x_n|\leq |y-x_0|+|x_0-x_n|<r_0+\epsilon.$$Here ##|x_0-x_n|<\epsilon## for sufficiently large ##n##. But I don't see how else to show $$\chi_{B(r,x)}\to\chi_{B(r_0,x_0)}$$pointwise on ##\mathbb R^n\setminus S(r_0,x_0)##.
 
Actually, I worked out 1).

Let ##\epsilon= r_0 - |y - x_0|##. For sufficiently large ##n##, ##|x_n - x_0| < \epsilon/2## and ##|r_n - r_0| < \epsilon/2 \implies r_n > r_0 - \epsilon/2##. So ##|y - x_n| < (r_0 - \epsilon) + \epsilon/2 < r_n##.
 
psie said:
Ok. I agree, I don't see how to derive ##|y-x_n|<r_n## from the triangle inequality given ##|y-x_0|<r_0## and ##x_n\to x_0,r_n\to r_0##. It doesn't lead anywhere: $$|y-x_n|\leq |y-x_0|+|x_0-x_n|<r_0+\epsilon.$$Here ##|x_0-x_n|<\epsilon## for sufficiently large ##n##. But I don't see how else to show $$\chi_{B(r,x)}\to\chi_{B(r_0,x_0)}$$pointwise on ##\mathbb R^n\setminus S(r_0,x_0)##.
We may assume w.l.o.g. that ##x_0=0## and ##r_0=1.## We may also assume that ##
x_n=x_1/n## where ##x_1=1-c## for some constant ##c\in (0,1).## We then need the condition ##B(x_n,r_n)\stackrel{(*)}{\subset} B(0,1).## I struggle a bit to define ##r_n## appropriately such that ##\lim_{n \to \infty}r_n=1## and ##(*)## still holds, but that would be the idea.

The second is analogous with ##B(x_n,r_n)\subseteq \mathbb{R}^n\setminus B(0,1).##
 
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