Showing Tightness of {fn}: A Measurable Approach

In summary, for a given epsilon, if there exists a measurable subset E1 of finite measure and a delta such that the integration of |fn| on a measurable subset A of E is less than epsilon for each index n, then the family of measurable functions {fn} is considered tight on E.
  • #1
sbashrawi
55
0

Homework Statement



If for each [tex]\epsilon[/tex]>0 , there is ameasurable subset E1 of E that has
finite measure and a [tex]\delta[/tex]>0 such that for each measurable
subset A of E and index n
if m(A[tex]\cap[/tex]E1) < [tex]\delta[/tex] , then
[tex]\int[/tex] | fn| <[tex]\epsilon[/tex] ( integration over A)
Show that {fn} is tight


Homework Equations





The Attempt at a Solution


 
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  • #2
sbashrawi said:
Show that {fn} is tight

Can you define "tight"?
 
  • #3
A family F of measurable functions is tight on E if there is a measurable subset E1 of finite measure such that integration of |fn| on ( E-E1) is less than epsilon for each fn in F
 

What is the purpose of "Showing Tightness of {fn}: A Measurable Approach"?

The purpose of "Showing Tightness of {fn}: A Measurable Approach" is to present a measurable approach for determining the tightness of a certain function, which can be useful in various scientific and mathematical fields.

How is the tightness of a function measured using this approach?

This approach uses a specific formula and set of criteria to calculate the tightness of a function. The formula takes into account factors such as the range of values the function can take and the rate at which the function changes.

What makes this approach different from other methods of measuring tightness?

This approach is unique in that it provides a quantitative and measurable way to determine the tightness of a function, rather than relying on subjective interpretations or qualitative assessments.

Can this approach be applied to any type of function?

Yes, this approach can be applied to any type of function, as long as it meets the criteria and requirements outlined in the formula and methodology.

What are the potential applications of this approach in scientific research?

This approach can be useful in various scientific and mathematical fields, such as data analysis, pattern recognition, and optimization. It can also aid in the understanding and comparison of different functions and their behavior.

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