Finding Joint Density Function for Region R: Graph and Calculation

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Homework Help Overview

The discussion revolves around finding the joint density function for a specified region R defined by the inequality |x| + |y| <= 1, which is represented graphically as a diamond shape in the x-y plane. Participants are exploring how to determine the area of this region and the implications for the joint density function f(x,y).

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the area of the region R and its relation to the joint density function. There are questions about the nature of x and y as random variables and how to properly define f(x,y) based on the area calculated. Some participants suggest different forms for f(x,y) and question the assumptions regarding the uniform distribution and the limits of integration.

Discussion Status

The discussion is active with various interpretations of the joint density function being presented. Some participants are questioning the definitions and limits involved in the problem, while others are attempting to clarify the relationship between the area of the region and the density function. There is no explicit consensus on the correct form of f(x,y) yet, indicating ongoing exploration of the topic.

Contextual Notes

Participants are navigating constraints related to the definitions of the region R and the properties of joint density functions, including the requirement for the integral of f(x,y) over R to equal 1. There are also discussions about the implications of a uniform distribution versus a variable density function.

squenshl
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I have a region R = {(x,y): |x| + |y| <= 1}
I have sketched the graph on the x-y plane and shaded in the region R (I got a diamond).
How do I find the area of R and hence find the joint density function f(x,y) and how do I specify the region for which f(x,y) is non-zero.
 
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A diamond is 4 triangles: Area(R) = 4 times the area of one triangle.

Are x and y random variables?
 
They are just random points chosen uniformly on the region
 
So the area is 0.5 x 4 = 2, how does that relate to finding the joint density function.
So f(x,y) = 2 for -1 < x < 1 and -1 < y < 1, 0 otherwise
 
Last edited:
No. Wouldn't it be f(x,y) = x + y for 0 < x < 1 and 0 < y < 1 and 0 otherwise
because when I do the double integral, the integral equals 1 which it should.
 
squenshl said:
So the area is 0.5 x 4 = 2, how does that relate to finding the joint density function.
So f(x,y) = 2 for -1 < x < 1 and -1 < y < 1, 0 otherwise

squenshl said:
No. Wouldn't it be f(x,y) = x + y for 0 < x < 1 and 0 < y < 1 and 0 otherwise
because when I do the double integral, the integral equals 1 which it should.

You said your region is R = {(x,y): |x| + |y| <= 1}. That is not the same as you are describing as -1 < x < 1 and -1 < y < 1. And a uniform distribution gives a constant density, not a variable like x + y. You need to have f(x,y) be a constant value on R such that the integral of f(x,y) over R is 1.
 
f(x,y) = 1/2 for 0 < x < 1 - |x|, but I don't know the limits of y.
 
squenshl said:
f(x,y) = 1/2 for 0 < x < 1 - |x|, but I don't know the limits of y.

No. Can't x be negative?

Didn't you say you had drawn a picture of your region R and it was diamond shaped?

Use the description of R itself to say where f = 1/2.
 

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