Lebesgue Measure Homework: Clarifying Royden's Definition

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In summary, the Lebesgue Measure of a function is defined as being Lebesgue measurable if its domain is measurable and if it satisfies one of the four statements provided. If a function is Lebesgue Measurable, its domain is measurable and all four statements are true. However, the measurability of the image of a function is not guaranteed even if the function itself is Lebesgue Measurable.
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Homework Statement


I just have a few quick questions about the definition of Lebesgue Measure of a function ( I just want some clarification on what I read in Royden)

In Chapter 3 of Royden, An extended real valued function is defined as being Lebesgue measurable if its domain is measurable and if it satisfies one of the following:
For each real number [itex]\alpha[/itex] the set
1.) {x: f(x)>[itex]\alpha[/itex]} is measurable
2.) {x: f(x)<[itex]\alpha[/itex]} is measurable
3.) {x: f(x)≤[itex]\alpha[/itex]} is measurable
4.) {x: f(x)≥[itex]\alpha[/itex]} is measurable

1st Question: In a proposition before this definition in my book it says that if the domain of an extended real valued function is measurable then statements 1 through 4 are equivalent (the statements above). So does this mean that if a function is Lebesgue Measurable that its domain is measurable and that all 4 of the above statements hold? I am thinking yes since one of them must hold but they are all 4 equivalent.

2nd Question: When we say a function is Lebesgue Measurable does this also mean that its image is measurable?



Thank you for your time.
 
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Homework Equations N/AThe Attempt at a Solution 1st Question: Yes, if a function is Lebesgue Measurable then its domain is measurable and all four of these statements are true. 2nd Question: No, when we say a function is Lebesgue Measurable this does not necessarily mean that its image is measurable. The image of a function may not be measurable even if the function itself is Lebesgue Measurable.
 

FAQ: Lebesgue Measure Homework: Clarifying Royden's Definition

What is Lebesgue Measure?

Lebesgue Measure is a mathematical concept used in the field of measure theory to define the size or "measure" of sets in n-dimensional Euclidean space.

What is Royden's Definition of Lebesgue Measure?

Royden's Definition of Lebesgue Measure is a rigorous mathematical definition that uses the concept of "outer measure" to define the Lebesgue measure of a set. This definition is used to extend the notion of length, area, and volume to more complex sets in n-dimensional space.

Why is Lebesgue Measure important?

Lebesgue Measure is important because it allows us to define the size or "measure" of sets in a more general and rigorous way than traditional measures like length, area, and volume. This is particularly useful in analysis, probability, and other areas of mathematics where dealing with more complex sets is necessary.

What are some key properties of Lebesgue Measure?

Some key properties of Lebesgue Measure include countable additivity, translation invariance, and monotonicity. These properties allow us to extend the definition of Lebesgue Measure to more complex sets and to use it in various mathematical contexts.

How is Lebesgue Measure calculated?

Lebesgue Measure is calculated using Royden's Definition, which involves taking the "outer measure" of a set. This involves covering the set with a collection of intervals or cubes and calculating the sum of their lengths, areas, or volumes. The Lebesgue Measure is then defined as the infimum of all such coverings.

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