Sine of Uniformly Distributed Random Variable

In summary, the problem is asking to find the density of sin(U) where U follows a uniform distribution on the interval (0, 2pi). The approach suggested is to draw a graph of sin(u) on [0, 2pi], and then break it into cases based on the value of a (where 0 < a < 1). Using the arcsin function and common sense, it is possible to find the density in each case.
  • #1
snipez90
1,101
5

Homework Statement


Suppose U follows a uniform distribution on the interval (0, 2pi). Find the density of sin(U)


Homework Equations





The Attempt at a Solution


Well if U ~ (0, 2pi), then sin(U) should follow a distribution on [-1, 1]. I know one way to do tackle such problems is to let a be some element in [-1, 1] and then try to find

[tex]P(sin(U) \leq a).[/tex]

The big problem is that if I use this last expression, the next step seems to be to take the arcsin to get U is less than or equal to arcsin(a), but this seems ridiculous since we don't have monotonicity when dealing with the interval (0, 2pi). Is there another way to approach this problem?
 
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  • #2
Why not draw a picture of sin(u) on [itex][0, 2\pi][/itex]. Then look at cases. If 0 < a < 1 it isn't hard to see which u give sin(u) ≤ a. Use the arcsin plus some common sense looking at the graph and break it into cases on the value of a.
 

1. What is the definition of a 'Sine of Uniformly Distributed Random Variable'?

A Sine of Uniformly Distributed Random Variable refers to a mathematical function that takes in a random variable with a uniform probability distribution and outputs the sine value of that variable. It is often used in statistics and probability to model real-world phenomena.

2. How is a Sine of Uniformly Distributed Random Variable different from a regular sine function?

A regular sine function takes in a specific value as its input and outputs the sine value of that particular value. However, a Sine of Uniformly Distributed Random Variable takes in a random variable and outputs the sine value of that variable, which can vary each time the function is evaluated.

3. What is the range of values for a Sine of Uniformly Distributed Random Variable?

The range of values for a Sine of Uniformly Distributed Random Variable is between -1 and 1, just like a regular sine function. However, the exact values within this range will depend on the specific distribution of the random variable being used as input.

4. How is the Sine of Uniformly Distributed Random Variable used in real-world applications?

The Sine of Uniformly Distributed Random Variable is often used in simulations and data analysis to model random events and generate random numbers. It is also used in signal processing and image analysis to remove noise and improve image quality.

5. Can the Sine of Uniformly Distributed Random Variable be used to predict future events?

No, the Sine of Uniformly Distributed Random Variable cannot be used to predict future events. It is a random function, meaning that the output cannot be predicted or controlled. It can only be used to model and analyze random phenomena and generate random numbers.

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