E Measurable Implies E + y Measurable

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In summary, the conversation discussed the proof that if a subset E or R is measurable, then each translate E + y of E is also measurable. The relevant equations and the attempt at a solution were also provided, with the conclusion that the solution was found in another post.
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Homework Statement
Show that if a subset E or R is measurable, then each translate E + y of E is also measurable.


Relevant equations
E is measurable if for all subsets A of R

[tex]m^*(A) = m^*(A \cap E) + m^*(A \cap (\textbf R \setminus E))[/tex]

where m* is the outer measure.

The attempt at a solution
The result is trivial if y = 0, so supposes y is not 0. I will denote the complement of a subset of R using '. Let F = E + y. By monotonicity of m*,

[tex]m^*(A) \le m^*(A \cap F) + m^*(A \cap F')[/tex]

In the other direction, I have determined the following: Since E is a subset of F' and F is a subset of E', we have that [itex]A \cap E \subseteq A \cap F'[/itex] and [itex]A \cap F \subseteq A \cap E'[/itex]. By monotonicity of m*, [itex]m^*(A \cap E) \le m^*(A \cap F')[/itex] and [itex]m^*(A \cap F) \le m^*(A \cap E')[/itex]. The former inequality is no good, but the latter one isn't. I don't know how to proceed from here. Any tips?
 
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1. What is the meaning of "E Measurable Implies E + y Measurable"?

"E Measurable Implies E + y Measurable" is a mathematical statement that indicates that if a set or event, denoted by E, is measurable, then the set or event E + y is also measurable. Here, y is a constant and "+" denotes the addition operation.

2. What does it mean for a set or event to be measurable?

A set or event is measurable if it is possible to assign a numerical measure or size to it. In other words, it is possible to determine the probability of the event occurring or the size of the set using a mathematical measure. This concept is commonly used in probability theory and measure theory.

3. Can you provide an example of "E Measurable Implies E + y Measurable"?

Yes, for instance, if we have a set E = {1, 2, 3}, and we define y = 2, then E + y = {3, 4, 5} is also a measurable set. In this case, the measure of E is 3, and the measure of E + y is also 3, as the addition of y does not change the size of the set.

4. What is the significance of "E Measurable Implies E + y Measurable"?

This statement is significant because it allows us to extend the concept of measurability to sets or events that are related through addition. It also helps in simplifying mathematical calculations and proofs in areas such as probability and measure theory.

5. Are there any exceptions to "E Measurable Implies E + y Measurable"?

Yes, there are exceptions to this statement. For example, if the set E is not measurable, then E + y may or may not be measurable. It also depends on the value of the constant y and the properties of the measure being used. Additionally, this statement may not hold for other mathematical operations such as multiplication or division.

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