Any function is not a Random Variable

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Functions are not inherently random variables unless they are defined in relation to random variables. Ordinary functions, like polynomials, do not qualify as random variables unless their terms are random. The discussion highlights that a random variable is a measurable function within a specific measure space, with continuous functions typically being measurable. Non-measurable functions are rare and challenging to identify. The conversation emphasizes the distinction between functions and random variables, clarifying that they represent different mathematical concepts.
zli034
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There are plenty example of functions are random variables from my class note. I only interested of thinking up functions are not random variables.

If you know functions are not random variables please please reply this post.

This class is about set theory, probability measure, Borel sets, sigma algebra, and limsup, liminf of sets.
 
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Your question is confusing. Ordinary functions, such as polynomials, are not random variables, unless the terms themselves are.
 
I guess the jump discontinuous functions are not random variables.
 
As mathman indicated, functions are not random variables. If you have a random variable you can define a "function of a random variable". It you have a random variable, then the random variable has an associated function called its "distribution" and it may have an associated function that is it's "density". Talking about a "function" not being a "random variable" is like talking about a "number" not being a "plane". They are completely different concepts.

Perhaps you are tyring to ask if there are any types of functions that are not distributions or densities for a random variable?
 
zli034 said:
There are plenty example of functions are random variables from my class note. I only interested of thinking up functions are not random variables.

If you know functions are not random variables please please reply this post.

This class is about set theory, probability measure, Borel sets, sigma algebra, and limsup, liminf of sets.

A random variable is just a measurable function on a measure space of total measure 1.

if the sigma algebra is the Lebesque measurable sets then any continuous function is measurable. E.g. any polynomial. But pretty much any function you can think of is Lebesque measurable. Non-measurable functions are difficult to come by.
 
The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...

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