Probability that sum of two random variables is greater than 1

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Homework Help Overview

The problem involves finding the probability that the sum of two random variables, X_1 and X_2, is greater than or equal to 1. The random variables are defined based on points chosen from specific intervals, with X_1 chosen from (0,1) and X_2 from (0,X_1).

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss various attempts to compute the probability, including setting Y=X_1+X_2 and evaluating integrals. Questions arise regarding the validity of the integral limits and the interpretation of the joint probability density function.

Discussion Status

Some participants have provided guidance on conditioning arguments and the importance of correctly identifying the region of integration. There is an ongoing exploration of different approaches, with no explicit consensus reached on a single method.

Contextual Notes

There are indications of confusion regarding the evaluation of integrals and the setup of the problem, particularly concerning the limits of integration and the sample space. Participants are encouraged to visualize the problem to clarify these aspects.

rayge
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Homework Statement



Let us choose at random a point from the interval (0,1) and let the random variable X_1 be equal to the number which corresponds to that point. Then choose a point at random from the interval (0,x_1), where x_1 is the experimental value of X_1; and let the random variable X_2 be equal to the number which corresponds to this point.

Compute P(X_1 + X_2 >= 1)

Homework Equations


The joint pdf is 1/x_1 , 0<x_2<x_1<1

The Attempt at a Solution


Many. For one, set Y=X_1+X_2. Then find P(Y>=1). Then evaluate \int_0^1\int_{1-x_2}^1 1/x_1 dx_1dx_2. Evaluating this integral gives me zero.

The other solutions I come up with end up giving me ln(0), which is undefined. Any suggestions on how to approach this?
 
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How can you get zero from the integral? 1/x_1 is always positive, the result cannot be zero.
I don't see how you consider the sum in this integral.

for a given x_1, what is the probability that the sum is larger than 1?
With this probability, you can use a one-dimensional integral to get the answer.
 
rayge said:

Homework Statement



Let us choose at random a point from the interval (0,1) and let the random variable X_1 be equal to the number which corresponds to that point. Then choose a point at random from the interval (0,x_1), where x_1 is the experimental value of X_1; and let the random variable X_2 be equal to the number which corresponds to this point.

Compute P(X_1 + X_2 >= 1)

Homework Equations


The joint pdf is 1/x_1 , 0<x_2<x_1<1

The Attempt at a Solution


Many. For one, set Y=X_1+X_2. Then find P(Y>=1). Then evaluate \int_0^1\int_{1-x_2}^1 1/x_1 dx_1dx_2. Evaluating this integral gives me zero.

The other solutions I come up with end up giving me ln(0), which is undefined. Any suggestions on how to approach this?

You could use a conditioning argument, where you condition on ##x_1##. In other words, find ##P(X_1+X_2 \geq 1|X_1 = x_1)##, etc.

Alternatively, you can use the joint density, but you need to apply the correct integration. To do that, first draw a picture to help you get the region of integration correctly
 
rayge said:

The Attempt at a Solution


Many. For one, set Y=X_1+X_2. Then find P(Y>=1). Then evaluate \int_0^1\int_{1-x_2}^1 1/x_1 dx_1dx_2. Evaluating this integral gives me zero.
As has been noted, that integral does not evaluate to zero. (It evaluates to one.)

Much more importantly, that is the wrong integral. Look what happens when x2 is, for example, 3/4. The integration limits for x1 are 1/4 to 1. When x1 is 1/4, the maximum possible value for x2 is 1/4. An x2 value of 3/4 is not possible.

Bottom line: Your integral covers more than the sample space.

If you want to use this approach, I suggest drawing a picture. You want the portion of the sample space for which x1+x2≥1.
 
Thanks a lot for the help everyone. Once I thought carefully about summing all values of x_1, the proper limits of the integrals was a lot more clear.
 

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