Measurability and integration of set-valued maps

  • Thread starter moh salem
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In summary, the difference between set-valued maps and single-valued maps is that a set-valued map is a function of sets while a single-valued map is a function of points. The difference between integrable set-valued maps and integrable single-valued map is that an integrable set-valued map is a map that is continuous on sets while an integrable single-valued map is a map that is continuous on points. With illustrative examples, if possible? Thank you.
  • #1
moh salem
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What is the difference between the measurable set-valued maps and measurable single-valued map?
What is the difference between the integrable set-valued maps and integrable single-valued map?
With illustrative examples, if possible?
Thank you very.
 
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  • #2
I am not sure what you are trying to get at. A set value map is a function of sets while a single value map is a function of points.
 
  • #3
I mean from the first paragraph is to:
[tex]Let \text{ }F:X\longrightarrow P(Y) \text{ }be \text{ }a \text{ }set-valued \text{ }map \text{ }and \text{ } f:X\longrightarrow Y \text{ }be \text{ }a \text{ }measurable\\ \text{ }single-valued \text{ }map, \text{ }where \text{ } F(x)=\{f(x)\}.\\ Is \text{ }F \text{ }be \text{ }a \text{ }measurable. \text{ }And \text{ }do \text{ }the \text{ }conversely \text{ }is \text{ }true .[/tex]​
 
  • #4
I am confused about the definition of F. It looks like it is defined for points of X and the images are points of Y considered as one point sets {f(x)} rather than the point itself f(x).
 
  • #5
Definition(set-valued map):
Let X and Y be two nonempty sets and P(Y)={A:A⊆Y,A≠φ}. A set-valued map is a map F:X→P(Y) i.e. ∀x∈X, F(x)⊆Y
for examples,
(1) Let F:ℝ→P(ℝ) s.t. F(x)=]α,∞[,∀x∈X. Then F is a set-valued map.
(2) Let F:ℝ→P(ℝ²) s.t. F(x)={(x,y):y=αx, α∈ℝ}.Then F is a set-valued map.
(3) Let f:ℝ→ℝ be a single-valued map defined by f(x)=x². Then F:ℝ→P(ℝ) defined by F(x)=f⁻¹(x) is a set-valued map.
 
  • #6
To answer your original question: The definitions of measurability and integrability need to be defined for set to set functions and for point to point functions. The differences are intrinsic in that they refer to different objects.

In my experience, measure is a set function, but integrability refers to point functions.
 
  • #7
Thanks mathman.
 

Related to Measurability and integration of set-valued maps

1. What is the definition of measurability for set-valued maps?

Measurability refers to the property of a set-valued map to be measurable, meaning that its preimages under any measurable set are measurable.

2. How is the measurability of set-valued maps related to integration?

The measurability of set-valued maps is essential for integration, as it allows for the integration of set-valued functions over measurable sets.

3. What is the significance of integration of set-valued maps in scientific research?

The integration of set-valued maps is significant in various fields of science, such as economics, game theory, and optimization, as it provides a framework for analyzing uncertain or ambiguous information.

4. Can all set-valued maps be integrated?

No, not all set-valued maps can be integrated. The set-valued map must satisfy certain conditions, such as measurability and convexity, to be integrable.

5. What are some applications of the integration of set-valued maps?

The integration of set-valued maps has various applications in fields such as decision-making, risk analysis, and machine learning, where dealing with uncertain or imprecise data is crucial.

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