MATLAB for uniform random variables

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Discussion Overview

The discussion revolves around generating random samples from uniform random variables using MATLAB, specifically focusing on the function g(X,Y) = sqrt(-2ln(X) * cos(2πY). Participants are addressing a homework problem that involves generating samples, computing a derived variable, and plotting results.

Discussion Character

  • Homework-related
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant describes the task of generating 10,000 samples for two independent uniform random variables X and Y, and computing Z based on a specified function.
  • Another participant requests clarification on the MATLAB command that produced an error related to accessing an array element.
  • A participant shares their attempt at coding but reports a blank plot and seeks help to identify mistakes in their MATLAB code.
  • One participant points out that the error message arises from attempting to take the logarithm of zero, indicating a misunderstanding of how to define the variables in MATLAB.
  • There is a discussion about the interpretation of the uniform distribution interval, with some participants clarifying the difference between including and excluding endpoints.
  • Participants discuss how to properly define vectors in MATLAB, emphasizing the need to understand array manipulation and function application rather than treating functions as multipliers.
  • One participant seeks guidance on how to implement the random variable generation in MATLAB, specifically asking about the correct usage of the rand function.

Areas of Agreement / Disagreement

Participants express differing views on the interpretation of the uniform distribution interval and the correct implementation of MATLAB commands. The discussion remains unresolved regarding the specific coding errors and the proper approach to defining the random variables.

Contextual Notes

Participants highlight limitations in understanding MATLAB functions and array definitions, indicating a need for further exploration of the documentation. There is also ambiguity regarding the interpretation of the uniform distribution's endpoints.

electroissues
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Homework Statement



Given 2 independent uniform random variables X,Y = U [0,1], consider the random variables Z = g (X,Y) for g = (x,y) = sqrt (-2ln(x) . cos(2piy). Since finding the distribution of g(X,Y) analytically is quite tough, I need to generate MATLAB program for

1 - 10,000 uniformly distributed random samples for X and Y
2 - For each sample of X and Y, compute Z= g(X,Y)
3 - Draw a histogram over the resulting samples in Z
4 - Estimate the moments mZ for n = 1,2...6.




The Attempt at a Solution



I tried for the first solution and I'm hopelessly stuck. MATLAB gives me an error saying "Attempted to access (0,1); index must be a positive integer or logical."

I don't understand where I'm going wrong.

Please help!
 
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Please post exactly what Matlab command you have typed which produces that error.
 
I tried to put the formula into MATLAB and this was my program

x= 0;
>> y= 1;
>> rand (1, 1000);
>> g= sqrt((-2*log(x)) * cos((2*pi*y)));
>> plot(g)

Actually, for this, I get a blank plot.
Please point out the mistake.
 
Your error message came from an attempt to access the (0, 1) element of a an array.

Before starting to code, you should take a look at the Matlab documentation to learn how to use such functions as rand, log, and plot. In the code you show, x is 0, and your fourth line is attempting to take the log of 0

http://www.mathworks.com/access/helpdesk/help/pdf_doc/matlab/getstart.pdf
User documentation

I can't really give you much help, since your code is a VERY LONG way from doing what you need it to do.
 
Thanks for your comments but I need to point out that's the question in the first place. So there is no chance I can take a different value.

How do you suggest I define the vectors then? One of the vector (x) is multiplied with the log and the second vector (y) is multiplied with cos (2pi). And the question says X (note the upper case) = U (0,1)
 
electroissues said:
Thanks for your comments but I need to point out that's the question in the first place. So there is no chance I can take a different value.
In your first post you said that X is uniformly distributed in [0, 1]. Below, you have changed that to say that X is uniformly distributed in (0, 1). The first interval includes 0 (and 1, but that's not a problem); the second interval doesn't include 0.
electroissues said:
How do you suggest I define the vectors then? One of the vector (x) is multiplied with the log and the second vector (y) is multiplied with cos (2pi).
NO, it's NOT "multiplied with log" and NO, it's NOT "multiplied with cos (2pi)." These are functions, not numbers that you multiply by.
electroissues said:
And the question says X (note the upper case) = U (0,1)

You can define your vectors X and Y as one-dimensional arrays with 10,000 elements or as two-dimensional arrays with 100 rows and 100 columns. It doesn't make any difference, but you need to learn how to work with vectors and/or arrays in MATLAB. The first link I gave in my earlier post can show you how to work with arrays.
 
Thanks, Mark. I read the documentation.

In my first post, the question has U= [0,1] with 10,000 random variables.

Can you please tell me how I shud use this in the rand function? Also, please help with the substitution for x and y if I define the rand as "rand [1, 10000]"

Thanks again.
 
electroissues said:
Thanks, Mark. I read the documentation.

In my first post, the question has U= [0,1] with 10,000 random variables.
Yes, I'm aware of what you had in your first post. My comment was that in post #5 you said U(0, 1), so which is it?
electroissues said:
Can you please tell me how I shud use this in the rand function? Also, please help with the substitution for x and y if I define the rand as "rand [1, 10000]"
Here's from the documentation for rand: "r = rand(n) returns an n-by-n matrix containing pseudorandom values drawn from the standard uniform distribution on the open interval (0,1). rand(m,n) or rand([m,n]) returns an m-by-n matrix."

You can do this to create a 100 x 100 array of random numbers in the open interval (0, 1):
X = rand(100)

Or you can do this to create a vector of length 10000 of numbers from the same interval:
X = rand(1, 10000)

Whatever you do to create your X array, do the same to create the Y array.
 

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