Measure theoretically equivalent

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SUMMARY

Two or more measures are said to be measure theoretically equivalent when they assign the same measure to all measurable sets. This concept is crucial in probability theory and measure theory, particularly in the context of mutual absolute continuity. The term "measure theoretically equivalent" is not widely recognized in standard texts, but it is referenced in advanced literature, such as I. Csiszar's paper on I-divergence geometry of distributions. Understanding this concept requires familiarity with foundational measure theory principles.

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  • Measure theory fundamentals
  • Probability theory basics
  • Understanding of mutual absolute continuity
  • Familiarity with I-divergence and its applications
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  • Research the concept of mutual absolute continuity in measure theory
  • Study I-divergence and its implications in statistical distributions
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Edwinkumar
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When are two or more measures said to be measure theoretically equivalent?
I have spent sometime on searching it; I am not getting it. Please someone help.
 
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Well, start with the definition in your text, what is that?
(Since it is not widely-known terminology, we can only guess at it.)
 
I couldn't find this terminology in books. When I was reading a paper I-divergence geometry of distributions by I.CSISZAR, I came across this term. Initially I thought it could be mutually absolutely continuous; but its not. I couldn't make any guess.
 

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