Bringing limit inside a right-continuous function.

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Homework Help Overview

The discussion revolves around the evaluation of the limit \(\lim_{b\to 0^+}N(\frac{a}{b})\) for the standard normal cumulative distribution function \(N\), which is right-continuous. Participants are exploring the implications of right-continuity on the ability to push limits inside the function, particularly for positive and negative values of \(a\).

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are questioning whether the limit can be pushed inside the function \(N\) under the conditions of right-continuity, particularly for both \(a > 0\) and \(a < 0\). There is also a discussion about the differences between finite and infinite limits and how they relate to continuity properties.

Discussion Status

The conversation is ongoing, with some participants asserting that limits can be pushed inside for cumulative distribution functions, while others are seeking clarification on the conditions under which this holds true. There is a recognition of differing opinions regarding continuity definitions and their implications for limit evaluation.

Contextual Notes

Participants are navigating the definitions of right-continuity and left-continuity, and how these relate to the behavior of cumulative distribution functions, especially in the context of finite and infinite limits. There is mention of potential confusion stemming from differing interpretations of continuity in mathematical contexts.

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Homework Statement



Suppose that we have N : \mathbb{R}\cup\{-\infty,\infty\} \to [0,1] which is the standard normal cumulative distribution function. It is right-continuous.

What I want to evaluate is \lim_{b\to 0^+}N(\frac{a}{b}), where a \in \mathbb{R}^+, and alternatively where a \in \mathbb{R}^-

2. The attempt at a solution
I opened a thread yesterday on the same topic but the consequences of the fact that N(.) is right-continuous wasn't answered/addressed, which is why I decided to re-open and start fresh so that we can focus on this one aspect.

I already know that N(-\infty) and N(\infty) are well defined to equal 0 and 1 respectively, so that's not what I'm asking :).

Please focus on whether I can push the limits inside of N(.) under both a > 0 and a < 0 under the condition that N(.) is right-continuous.

-------------------------

Refresher: right continuous at c means that \lim_{x \to c^+}f(x) = f(c).
 
Last edited:
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operationsres said:

Homework Statement



Suppose that we have N : \mathbb{R}\cup\{-\infty,\infty\} \to [0,1] which is the standard normal cumulative distribution function. It is right-continuous.

What I want to evaluate is \lim_{b\to 0^+}N(\frac{a}{b}), where a \in \mathbb{R}^+, and alternatively where a \in \mathbb{R}^-

2. The attempt at a solution
I opened a thread yesterday on the same topic but the consequences of the fact that N(.) is right-continuous wasn't answered/addressed, which is why I decided to re-open and start fresh so that we can focus on this one aspect.

I already know that N(-\infty) and N(\infty) are well defined to equal 0 and 1 respectively, so that's not what I'm asking :).

Please focus on whether I can push the limits inside of N(.) under both a > 0 and a < 0 under the condition that N(.) is right-continuous.

-------------------------

Refresher: right continuous at c means that \lim_{x \to c^+}f(x) = f(c).

The answer is YES for ANY legitimate cdf, not just for the normal cdf N(.). I have already stated this about 3 times, but for some reason you seem not to believe the answer. All you need to is fall back on _defintions_ involving limits of +∞ or -∞ and use standard properties of a cdf F(x).

Things would be a bit different if you were talking about finite limits; then you really would need to distinguish between limits from the left or from the right, at least for a cdf having jump discontinuities (but not for continuous ones like N(.)).

RGV
 
Ray Vickson said:
The answer is YES for ANY legitimate cdf, not just for the normal cdf N(.). I have already stated this about 3 times, but for some reason you seem not to believe the answer. All you need to is fall back on _defintions_ involving limits of +∞ or -∞ and use standard properties of a cdf F(x).

Things would be a bit different if you were talking about finite limits; then you really would need to distinguish between limits from the left or from the right, at least for a cdf having jump discontinuities (but not for continuous ones like N(.)).

RGV
Consider \lim_{b\to 0^-} N(\frac{a}{b}) with a < 0. we have that \frac{a}{b}\to +\infty from the left, and you say in this case it is perfectly fine to push the limit inside N(.) even though it is right continuous. Okay, I get this.

But I would like an explanation of why we (i) can't automatically put the limit inside N(.) if we're doing a finite limit from the left , (ii) we are allowed to put the limit inside N(.) if we're doing an infinite limit from the left.

Also N(.) is right-continuous according to wikipedia (which is distinct from "continuous" like you say?).

Also my friend is a maths post-doc and he said that I can only push the limit inside when it approaches from the left if the function is left-continuous or continuous, not right-continuous (as is the case with N(.)), which adds to my confusion. I guess he's wrong.
 
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operationsres said:
In case a < 0 we have that \frac{a}{b}\to -\infty from the left, and you say in this case it is perfectly fine to push the limit inside N(.) even though it is right continuous. Okay, I get this.

But I would like an explanation of why we (i) can't automatically put the limit inside N(.) if we're doing a finite limit from the left , (ii) we are allowed to put the limit inside N(.) if we're doing an infinite limit from the left.

Also N(.) is right-continuous according to wikipedia (which is distinct from "continuous" like you say?).

Also my friend is a maths post-doc and he said that I can only push the limit inside when it approaches from the left if the function is left-continuous or continuous, not right-continuous, which adds to my confusion.

For any F(x) obtained by integrating a density, F is both right and left continuous---just plain continuous. It is different if you have a mixed distribution (partly discrete and partly continuous) or discrete. In those cases there will be points at which F is continuous from the right but not from the left (at least if you use the more-or-less standard convention that F(x) = Pr{X x}. On the other hand, the complementary cumulative G(x) = 1-F(x) = Pr{X > x} would be continuous from the left but not from the right in those cases.

RGV
 
Ray Vickson said:
For any F(x) obtained by integrating a density, F is both right and left continuous---just plain continuous.

So when Wiki says "Every cumulative distribution function F is (not necessarily strictly) monotone non-decreasing (see monotone increasing) and right-continuous.", this doesn't exclude that it could also be left continuous AS WELL AS right continuous, making it plain old continuous?

Thanks for your help! I just thought that \text{Right Continuous} \Rightarrow \neg \text{Left Continuous} which is where I was getting confused.
 
operationsres said:
So when Wiki says "Every cumulative distribution function F is (not necessarily strictly) monotone non-decreasing (see monotone increasing) and right-continuous.", this doesn't exclude that it could also be left continuous AS WELL AS right continuous, making it plain old continuous?

Thanks for your help! I just thought that \text{Right Continuous} \Rightarrow \neg \text{Left Continuous} which is where I was getting confused.

Nope. It is like saying "all men are human". That does not imply that all humans are men.

RGV
 

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