Transformation of variable (what happens with the area?)

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Homework Help Overview

The discussion revolves around the transformation of variables in the context of probability density functions, specifically examining the area defined by the variables X and Y derived from independent variables U and V. The original poster presents a problem involving trigonometric transformations and seeks to understand the implications for the area and the probability density function.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants explore the minimum and maximum values of the transformed variables x and y, questioning the area they define. There is discussion about the nature of the transformation and its implications for the Jacobian determinant. Some participants inquire about the calculation of the probability density function and the number of pre-images for each (x,y) pair.

Discussion Status

Participants have engaged in a productive exploration of the problem, with some providing insights into the nature of the transformation and the resulting implications for the area and density function. Multiple interpretations and approaches are being discussed, particularly regarding the number of pre-images and the characteristics of the transformation.

Contextual Notes

There is an acknowledgment of the complexity of the transformation, particularly regarding its non-monotonic nature, which raises questions about the validity of certain equations and the feasibility of pre-images within defined bounds. The original poster expresses a sense of being overwhelmed by the exercise, indicating a potential gap in foundational knowledge.

Zenga
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Homework Statement



Dear friends,

let U and V independent variables that are both defined on [-∏, ∏] and are uniformly distributed.
If x = cos(U + V) and y = sin(U-V), what is the area where the variables X and Y are defined?

Homework Equations


U + V = arccos(x)
U - V = arcsin(y)
For a test if we have chosen the right area, we can deploy probability density function f_(x,y) = f(u(x,y),v(x,y)*J(x,y), where J(x,y) is a Jacobian determinant.

The Attempt at a Solution


My attempt: x and y have minimum and maximum at -1 and 1, respectively.

I would be really grateful if anyone could help me, since this exercise is beyond my level of knowledge. If I have to remove the exercise to any other forum, feel free to remove the issue. Wish you all a pleasant day!:)
 
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Zenga said:

Homework Statement



Dear friends,

let U and V independent variables that are both defined on [-∏, ∏] and are uniformly distributed.
If x = cos(U + V) and y = sin(U-V), what is the area where the variables X and Y are defined?

Homework Equations


U + V = arccos(x)
U - V = arcsin(y)
For a test if we have chosen the right area, we can deploy probability density function f_(x,y) = f(u(x,y),v(x,y)*J(x,y), where J(x,y) is a Jacobian determinant.

The Attempt at a Solution


My attempt: x and y have minimum and maximum at -1 and 1, respectively.

I would be really grateful if anyone could help me, since this exercise is beyond my level of knowledge. If I have to remove the exercise to any other forum, feel free to remove the issue. Wish you all a pleasant day!:)

The equation ##f_{X,Y}(x,y) = f(u(x,y),v(x,y)) J(x,y)## is not correct in this case, because the transformation is not "monotone" (always increasing or always decreasing). The functions ##\sin## and ##\cos## have graphs that oscillate, sometimes going up and sometimes down, and that means that a single point (x,y) can have several "preimages" (u,v).

However, if all you want to know is the range of (X,Y) then you are correct: it is a square made from the two intervals ##X \in [-1,1], \: Y \in [-1,1]##.
 
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I am really thankful for your response!
Now it is getting exciting! :) I am interested how would we calculate ##f_{X,Y}(x,y)##?
 
Dear all, I have another question. :) How many pre-images has each (x,y)?
 
Zenga said:
Dear all, I have another question. :) How many pre-images has each (x,y)?

For ##0 < x,y < 1## there are four solutions of ##\cos(s) = x, \; s \in [-2 \pi,2 \pi]## and four solutions of ##\sin(t) = y, \; t \in [-2 \pi,2 \pi]##. These are ##s_1 = a \equiv \arccos(x), s_2 = -a, s_3 = 2\pi - a, s_4 = a - 2 \pi## and ##t_1 = b \equiv \arcsin(y), t_2 = \pi-b, t_3 = -\pi-b, t_4 = b- 2\pi##. Therefore, there are 16 points ##(u,v)## of the form ##(s_i,t_j)##. However, for any choice of ##x,y \in (0,1)## only 8 of these points will also satisfy the individual bounds ##u,v \in [-\pi,\pi]##. In other words, for each ##(x,y)## there are 8 feasible ##(u,v)##, and all have the same absolute value of the Jacobian determinant. This implies that
[tex]f_{X,Y}(x,y) = \frac{8 f_{U,V}(u_i,v_i)}{J\left(\frac{x,y}{u,v}\right)}[/tex]
Since
[tex]f_{U,V}(u,v) = \frac{1}{4 \pi^2}[/tex]
and
[tex]J\left(\frac{x,y}{u,v}\right) = 2|\sin(u+v)||\cos(v-u)| = 2 \sqrt{1-x^2}\sqrt{1-y^2}[/tex]
we finally obtain
[tex]f_{X,Y}(x,y) = \frac{1}{\pi^2 \sqrt{1-x^2} \sqrt{1-y^2}}.[/tex]

Note: showing that 8 of the 16 points (u,v) are feasible is a tedious case-by-case verification exercise.

All the above was for ##0 < x,y < 1##. The other cases can be shown by the same type of argument all over again, or more simply by transforming them to the first case (by using ##-U## or ##-V## instead of ##U## and ##V##, etc.

Altogether, we see that the formula above for ##f_{X,Y}(x,y)## holds for all ##x,y \in (-1,1)##.
 
I am really thankful for your response!
 

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