Proving Constant CTP of a Function on [0,1]

In summary, we assume that f is not constant ctp and use a proof by contradiction to show that this leads to a contradiction. By using Fubini's theorem, we are able to find intervals in the projections of A onto the x-axis and y-axis, which leads to a contradiction. Therefore, f must be constant ctp.
  • #1
p33rz
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Suppose that [tex]f:[0,1]\longrightarrow{\mathbb{R}}[/tex] is a function such that [tex]f(.,y)[/tex] is constant for almost all [tex]y[/tex], and [tex]f(.,y)[/tex] is constant for almost every [tex]x[/tex]. Prove that [tex]f[/tex] is constant ctp (with respect to u, where u is the Lebesgue measure).

Hint: Assume the contrary. Then it sets you and you have positive measure. Use Fubini to prove that each of these sets contains at least one vertical and one horizontal interval. Conclude.

Note: A function is constant ctp, if not constant in a set of measure zero.

Help please!
 
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  • #2
Proof: Assume, for the sake of contradiction, that f is not constant ctp. Then there exists a set A with positive measure such that f is not constant on A. Let A' be the projection of A onto the y-axis, and A'' the projection of A onto the x-axis. By Fubini's theorem, both A' and A'' have positive measure. Since A' and A'' are both intervals, there exist x_0,x_1 in A'' such that x_0<x_1 and y_0,y_1 in A' such that y_0<y_1. Since f(.,y) is constant for almost all y, we must have f(x_0,y_0)=f(x_0,y_1). Similarly, since f(x,.) is constant for almost all x, we must have f(x_0,y_0)=f(x_1,y_0). Hence, f(x_0,y_0)=f(x_0,y_1)=f(x_1,y_0), which is a contradiction since f is not constant on A. This completes the proof.
 

1. What is meant by the "constant CTP" of a function?

The constant CTP (or "constant continuous-time property") of a function refers to its behavior over a continuous range of time, specifically from 0 to 1. This property is used to assess the stability and predictability of a function.

2. How is the constant CTP of a function determined?

The constant CTP of a function can be determined by analyzing the function's behavior over the range of 0 to 1 and assessing whether it remains constant or fluctuates. This can be done through mathematical calculations or visual representations such as graphs.

3. Why is proving the constant CTP of a function important?

Proving the constant CTP of a function is important because it allows for a better understanding of the function's behavior over time. This information can be used to make predictions and inform decision-making in various fields such as economics, physics, and engineering.

4. What are the implications if a function does not have a constant CTP?

If a function does not have a constant CTP, it means that its behavior over time is unpredictable and unstable. This can have significant implications in fields where accurate predictions are crucial, and may require further analysis or modifications to the function.

5. Are there any limitations to proving the constant CTP of a function?

Yes, there may be limitations to proving the constant CTP of a function. For example, some functions may have a constant CTP over a certain range of time but not over a larger or smaller range. Additionally, the accuracy of the constant CTP may depend on the assumptions and data used in the analysis.

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