Two conditions of existence for Lebesgue integral

In summary, the conversation discusses a property of measurable functions on a measure space, specifically in relation to Lebesgue integrability. It is proven that if the function φ is Lebesgue integrable and |f| is bounded by φ, then f is also Lebesgue integrable. The conversation also raises a question about the existence of the limit of the integral of f over Xn as n approaches infinity, which can be shown to exist using the integral of φ over Xm-Xn.
  • #1
DavideGenoa
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Dear friends, I read in Kolmogorov-Fomin's that the following property of measurable real or complex valued functions ##\varphi,f## defined on measure space ##X##, proven in the text for ##\mu(X)<\infty## only, is also valid if ##X=\bigcup_n X_n## is not of finite measure, but it is the union of a countable sequence of measurable sets of finite measure ##X_n## (which we can suppose such that ##X_1\subset X_2\subset ...##): if ##\varphi## is Lebesgue integrable on ##X## and ##\forall x\in X\quad|f(x)|\leq\varphi(x)## then ##f## is Lebesgue integrable on ##X##.

Given the http://librarum.org/book/10022/159 of Lebesgue integral ##\int_X g(x)d\mu:=\lim_n \int_{X_n}g(x)d\mu## for such a measure space, I know, from the property above for ##X_n## such that ##\mu(X_n)<\infty##, that if ##\int_{X_n}\varphi(x)d\mu## exists then ##\int_{X_n}f(x)d\mu## also exists, but how can we know that if ##\lim_n\int_{X_n}\varphi(x)d\mu## exists then ##\lim_n\int_{X_n}f(x)d\mu## exists?
##\infty## thanks!
 
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  • #2
I haven't worked out the details, but I suspect you should work with the integral of φ over Xm-Xn for m>n. This -> 0 as m and n become infinite. Since |f| ≤ φ, the integral of f over the same domain will also -> 0 under the same condition.
 
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Thank you so much!
 

Related to Two conditions of existence for Lebesgue integral

What is the Lebesgue integral and why is it important?

The Lebesgue integral is a mathematical concept used to measure the area under a curve. It is important because it allows for the integration of more complex functions that cannot be integrated using the traditional Riemann integral.

What are the two conditions of existence for the Lebesgue integral?

The two conditions of existence for the Lebesgue integral are measurability and integrability. A function must be measurable with respect to a certain measure in order for the Lebesgue integral to exist. It must also be integrable, meaning that the integral of the absolute value of the function must be finite.

How does the Lebesgue integral differ from the Riemann integral?

The Lebesgue integral differs from the Riemann integral in the way it approaches the concept of integration. While the Riemann integral divides the area under a curve into small rectangles, the Lebesgue integral uses a more general approach of dividing the area into smaller measurable sets. This allows for the integration of more complex functions.

What is a measurable function?

A measurable function is a function that satisfies the condition of measurability for the Lebesgue integral. This means that for any given set, the pre-image of that set under the function must also be a measurable set. Essentially, this means that the function's values can be easily measured and calculated.

How is the Lebesgue integral used in real-world applications?

The Lebesgue integral has many applications in various fields, such as economics, physics, and statistics. It is used to calculate probabilities, measure areas and volumes, and model complex systems. It is also used in signal processing and image recognition, as well as in finance for option pricing and risk management.

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