How Do We Show Integral Unity of Transformed Functions?

In summary, the conversation discusses a function f on R satisfying certain conditions, the transformation of its domain, and the possibility of integral unity for another function g. The speaker references a bibliography item for further information and mentions the problem being solved using Lebesgue measure.
  • #1
hnh
5
0
Hello, I tried this in analysis but maybe it is a more topological question. If given a function f on R such that \int_R f(x)dx = 1 and is decreasing and 1-lipschitz, show that
the function g(y) = min{x,f(x)} where y = x-f(x) and x>=0, also satisfies \int_Y g(y)dy=1.

I really would appreciate any observations. The transformation of the Domain is 1-1 right? so what else
is required to have integral unity of g also? I have some other info that may or may not help: f(x) = g(y) -1/2y +1/2|y|, x=g(y)+1/2y +1/2|y|.
Thank you
 
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  • #2
hnh said:
Hello, I tried this in analysis but maybe it is a more topological question. If given a function f on R such that \int_R f(x)dx = 1 and is decreasing and 1-lipschitz

I doubt that such a function exists.
 
  • #3
I refer you to the bibliography item in my thesis:

1. B.F. Logan and L.A. Shepp. A Variational Problem for Random Young Tableaux. Ad-
vances in Mathematics, 26, 1977, 206-222.

The problem is solved now using lebesgue measure...
 

FAQ: How Do We Show Integral Unity of Transformed Functions?

What is the minimum metric?

The minimum metric is a scientific approach used to measure the smallest possible distance between two points in a given space. It is used to quantify the relationship between two objects or points in a system.

How is the minimum metric calculated?

The minimum metric is calculated using mathematical equations that take into account the dimensions and characteristics of the space in which the two points exist. These equations are based on principles of geometry and can vary depending on the specific application.

Why is integrating the minimum metric important?

Integrating the minimum metric is important because it allows scientists to accurately measure and analyze relationships between objects or points in a system. This can provide valuable insights and help to understand complex systems and phenomena.

What are some real-world applications of integrating the minimum metric?

The minimum metric has many practical applications, including in fields such as physics, engineering, and computer science. It is used in the design and analysis of structures, in navigation and mapping systems, and in algorithms for data analysis and optimization.

Are there any limitations of using the minimum metric?

While the minimum metric is a useful tool, it does have some limitations. It may not accurately represent the true relationship between two points if the space is non-linear or has complex dimensions. Additionally, it is only one aspect of a larger system and should be used in conjunction with other metrics and data for a comprehensive analysis.

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