Random Definition and 1000 Threads

  1. Loren Booda

    Finiteness of a converging random number series

    1. Imagine a positive point x not equal to zero. 2. Consider a randomly chosen point y with distance to zero less than x. 3. Let y=x. Repeat #2. 4. Is the sum of the y-values finite as y approaches zero?
  2. B

    MHB Sequence of normalized random variables

    Let X_1, X_2, ... be a sequence of random variables and define Y_i = X_i/E[X_i]. Does the sequence Y_1, Y_2, ... always convergence to a random variable with mean 1?
  3. M

    Random (drankard) walk distance after n steps

    i am tying to analyze a random walk on an integer lattice \mathbb{Z}^k. for k=1, what is the probability that after steps the drunkard's distance from the origin is lower than \sqrt{n}?
  4. ThomasT

    Random thoughts on Maxwell's demon

    This just came into my head. I don't think I really understand the significance of Maxwell's demon. Please don't try to explain it to me. It's just a random thought.
  5. M

    Estimating Drift & Variance for Random Walk With Drift: Help Needed

    Hello there, I am wondering if somebody could help in an issue far from my expertise. I have some data which is reasonable to conjecture could be modeled with a random walk with drift. I am struggling though to understand how to estimate from the empriic data the most likely drift and...
  6. C

    How to Derive Upper and Lower Bounds for a Random Variable?

    Dears, If a random variable is generated with the pdf of p(f) = 1/(f^x), how can I derive the upper bound or lower bound of the random variable? Thanks,
  7. C

    Upper bound of random variable

    Dears, If a random variable is generated with the pdf of p(f) = 1/(f^x), how can I derive the upper bound or lower bound of the random variable? Thanks,
  8. B

    MHB Proving the Uniform Distribution of Y from Independent Random Variables X

    Let be $X_1, X_2, ..., X_n, ... $ independent identically distributed random variables with mutual distribution $ \mathbb{P}\{X_i=0\}=1-\mathbb{P}\{X_i=1\}=p $. Let be $ Y:= \sum_{n=1}^{\infty}2^{-n}X_n$. a) Prove that if $p=\frac{1}{2}$ then Y is uniformly distributed on interval [0,1]. b) Show...
  9. A

    When can I decompose a random variable $Y=X'-X''$?

    I am wondering if I can find a decomposition of Y that is absolutely continuous nto two i.i.d. random variables X' and X'' such that Y=X'-X'', where X' is also Lebesgue measure with an almost everywhere positive density w.r.t to the Lebesge mesure. My main intent is to come up with two i.i.d...
  10. D

    Transformation of two dimensional random var

    given the following Probability density function: f x,y(x,y) = { 0.5, ( 0<y<1, 2y-x<2, 2y+x<2 } 0, else and i need to find f z(z) while z=y-x i got really confused while trying to calculate the borders of x and y for the integration. i would be really thankful for someone explaining...
  11. G

    Proving Sum of 2 Indep. Cauchy RVs is Cauchy

    Given the fact that X and Y are independent Cauchy random variables, I want to show that Z = X+Y is also a Cauchy random variable. I am given that X and Y are independent and identically distributed (both Cauchy), with density function f(x) = 1/(∏(1+x2)) . I also use the fact the...
  12. M

    What Is the Probability That Intersection of Random Samples Has Size 1?

    Hello, I don't really know if this is considered a challenging problem but this is not for homework: You're given a set of numbers S of size n. From S, you draw a random sample A, |A| < n. From S, you draw a random sample B, |B| < n. Sampling doesn't remove items from S. What is the...
  13. P

    How to simulate a random walk on a sphere

    Dear All, I am simulating a random walk on a sphere with unit radius. I want to move from current location p_t to the new location p_{t+1} along the big circle, whose arc has an angle omega relative to p_t's latitude. I tried using the law of cosine. But at the poles, the law of cosine...
  14. Q

    Why Did a Cumulus Cloud Change Colors When Viewed Through Polarized Sunglasses?

    One day I just put on my [SIZE="5"]polarized sunglasses, and on the road, I looked at cumulonimbus cloud probably in the congestus stage in a system with many other cumulus clouds (those big puffy clouds), and a single giant cumulus cloud appeared yellow-ish when wearing the polarized sunglass...
  15. J

    MHB Sums of independent random variables

    I have: $Z=X_1+\ldots+X_N$, where: $X_i\sim_{iid}\,\text{Exponential}(\lambda)$ $N\sim\,\text{Geometric}_1(p)$ For all $i,\,N$ and $X_i$ are independent. I need to find the probability distribution of $Z$: $G_N(t)=\frac{(1-p)t}{1-pt}$ $M_X(t)=\frac{\lambda}{\lambda-t}$...
  16. S

    Probability Distribution of Random Sums of Exponential RVs

    Homework Statement Z=X_1+\ldots+X_N, where: X_i\sim_{iid}\,\text{Exponential}(\lambda) N\sim\,\text{Geometric}_1(p) For all i,\,N and X_i are independent. Find the probability distribution of Z Homework Equations G_N(t)=\frac{(1-p)t}{1-pt} M_X(t)=\frac{\lambda}{\lambda-t}...
  17. P

    Ansys Basic Structure random Force/Deformation

    Ok I've been surfing trough the internet for quite some time now trying to find a solution to my problem but nothing similair pops up. This is my problem: http://i40.tinypic.com/295dc9f.png For some peculiar reason the structure tends to bend over to the left. I have no idea why and I've...
  18. M

    Question about random variables

    I think I understand the concept of random variable (for example, the number of heads when three coins are tossed together or the temperature of a place at 6.00am every morning). I am, however, confused as I have seen some material which refers even the values taken by a random variable (or...
  19. S

    Applying Bayesian Inference to Test Hypothesis on 100 Samples of Random Numbers

    how is bayesian inference actually applied? Say I have (100samples) a series of random numbers between 1 to 10. How do I test for the hypothesis that "there is a bias for the numbers 5,7" ?
  20. Z

    Any function is not a Random Variable

    There are plenty example of functions are random variables from my class note. I only interested of thinking up functions are not random variables. If you know functions are not random variables please please reply this post. This class is about set theory, probability measure, Borel...
  21. A

    Product of two uniform random variables on the interval [0,1]

    Homework Statement If R1 and R2 are two uniformly distributed random variables on the interval [0,1]. What is the density function Z=R1*R2? Homework Equations I'm not sure actually The Attempt at a Solution I have tried to manipulate with moment generating function (which i...
  22. E

    Finding the pdf of the average of n independent random variables

    Homework Statement The n random variables X_{1}, X_{2},..., X_{n} are mutually independent and distributed with the probability density f(x)=\frac{1}{\pi(1+x^{2})} i) Find the probability density of the average Y=\frac{1}{n}\Sigma^{i=1}_{n}X_{i} ii) Explain why it does not converge...
  23. T

    Random sample of size n (n odd) from Uni(0,1)

    Homework Statement If you were taking a random sample of size n (n=2m+1 odd) from Uni(0,1) How do you find the mean and variance of the sample median? Homework Equations In order to find the mean and variance of the sample median you need to start with the sample median itself. Using...
  24. N

    Sum of non-identical non-central Chi-square random variables.

    Hi All, By definition, the sum of iid non-central chi-square RVs is non-central chi-square. what is the sum of ono-identical non-central chi-square RV. I have a set of non zero mean complex Gaussian random variables H_i with a mean m_i and variance σ_i . i=1...N. H the result of their...
  25. E

    Distribution of Maximum of Two Random Variables

    Hi all, I have a random variable (RV): X=\text{max}X_i+X_j where Xi and Xj are two different RVs from a set of i.i.d N RVs. I need to find the distribution of X. What is the most efficient way? Thanks in advance
  26. A

    Sum of two independent Poisson random variables

    Hello! I am trying to understand an example from my book that deals with two independent Poisson random variables X1 and X2 with parameters λ1 and λ2. The problem is to find the probability distribution of Y = X1 + X2. I am aware this can be done with the moment-generating function technique...
  27. H

    Two independent random vectors are almost surely non-orthogonal

    Hi all, I got stuck with the following problem: Let X, Y and Z be three random vectors of the same length drawn from a continuous random distribution. where Z is independent of X and Y but Y=f(X) with a non-linear function f. Can I claim that: 1. Z^{T}X\neq 0 almost surely...
  28. N

    Show that if X is a bounded random variable, then E(X) exists.

    Homework Statement Show that if X is a bounded random variable, then E(X) exists.Homework Equations The Attempt at a Solution I am having trouble of finding out where to begin this proof.This is what I got so far: Suppose X is bounded. Then there exists two numbers a and b such that P(X > b)...
  29. J

    Why 8 probabilities in 3D random walk?

    Why are there 8 possible moves in 3D random walk? With R being the distance from the origin, how is its relationship with the number of steps and dimensionality? Thx!
  30. J

    DETERMINISM OR RANDOM? Pick a side

    Einstein strongly believed in determinism. Some physicists today like Michio Kaku are leaning toward indeterminism. I have many of my own reasons but I'm on Einstein's side. I want to discuss, not fight. Listen to what other posters have to say before refuting it.
  31. T

    Is there anything in the physical world that is actually random even

    Is there anything in the physical world that is actually random even after we were given every single bit of information needed to calculate an outcome? Rolling a die or flipping a coin doesn't count, because if we did all the calculations, we would be able to calculate what the outcome would...
  32. G

    Normal Distribution: PDF of a Normally Distributed Random Variable

    Homework Statement A Normally distributed random variable with mean μ has a probability density function given by _ρ_...*...((-ρ2(x-μ)2)/2δ) √2∏δ|...e^ Homework Equations Its standard deviation is given by: A)ρ2/δ B)δ/ρ C)√δ|/ρ D)ρ/√δ| E)√δ|/2ρ The Attempt at a Solution...
  33. D

    Probability of sum of 5 independant random variables

    Hi. I would like to find out the probability distributions function of the sum of 5 independant random variables. They are a sum of errors: 1%, 1%, 0.1%, 0.1%, 1%. I think this is the convolution of all these. So the limits are +/- 3.2% I know the convolution of 2 square pulses becomes a...
  34. S

    What is the Probability of Reaching Node D Before Node E Starting from Node G?

    http://img844.imageshack.us/img844/8333/1111jx.png Homework Statement With which probability, starting in g, node d gets hit before node e?Homework Equations The Attempt at a Solution I think the probability of hitting each node starting in g is the following: p(g) = 1 p(c) = 1/2 p(a) =...
  35. A

    Transformation of Random Variables (Z = X-Y)

    Homework Statement Suppose we have a function, f(x,y) = e^-x * e^-y , 0<=x< ∞, 0<=y<∞, where X and Y are exponential random variables with mean = 1. (For those who may not know, all this means is ∫(x*e^(-x) dx) from 0 to ∞ = 1, and the same for y) Suppose we want to transform f(x,y) into...
  36. M

    Bus arrivals independent random variables

    Hi. Why in all literature bus arrivals are referred as independent random variables (Poisson as well)? Is there any reference where there is some math explanation except intuitive approach which of course tell that there is no correlation between 2 bus arrivals? Best regards
  37. T

    Generate random irreducible matrix

    Hi, I want to create a generator for random irreducible N times N matrices, where N is a given integer. For now I'm using this trick: Generate a N-length array H_i with purely random numbers Creating the matrix by assigning element A_{ij} = \min(1,\exp[\beta (H_i-H_j)]) This matrix is...
  38. J

    Jointly Distributed Discrete Random Variables

    Hi all, I am currently doing my Final Year Project on the topic of Optimal Placement of Suicide Bomber Detectors. Given 2 dependent bomb detectors, I am trying to prove that the probability of detection in the intersected area will be larger than the individually covered areas, by working...
  39. K

    Are W and Z equal as random variables and do they have equal expected values?

    Suppose the random varaible Y has non-zero probability at 0,1,2,3,... (i.e. the support of Y is the set of non-negative integers). Define a random variable W: W=0 ,if Y=0,1,2,or 3 --=Y-3 ,if Y=4,5,... Define a random variable Z: Z=max{0,Y-3}=0 ,if Y≦3 --------------=Y-3 ,if Y>3 And...
  40. W

    What is covariance? (with both random and deterministic variables)

    I understand the concept of covariance, relating two complex random (scalar) variables. However, I get confused when I have both deterministic and random variables. Therefore, what I write might make very little sense -- I'm really only looking for any general advice on where to start reading...
  41. S

    Combination of two dependant discrete random variables

    Hi, I’m looking for a way to combine two discrete random variables (which I have as probability distributions). The combination should be the product (or other operation) of the two variables. This would be easy if they were independent, but they’re not. There is a known correlation between...
  42. A

    Show that a Gaussian Distribution Corresponds to a CTS random variable.

    Going over my Lecture Notes my Lecturer as Started with Show that a Gaussian Distribution Corresponds to a CTS random variable. Then she has i) Taken the f(x) = [p.d.f] and shown a) f(x) >= 0 for all x member of real numbers. b) Integral over all real numbers = 1 ii) Found the M.G.F then...
  43. T

    Probability of Sum of Squares of 2 Uniform RVs < 1

    If you were to pick two random numbers on the interval [0,1], what is the probability that the sum of their squares is less than 1? That is, if you let Y_1 ~ U(0,1) and Y_2 ~ U(0,1), find P(Y_1^2 + Y^2_2 \leq 1). There is also a hint: the substitution u = 1 - y_1 may be helpful - look for a beta...
  44. M

    How Do You Find 'a' for P(-a ≤ X ≤ a) = 0.95?

    Hi all, I was having some troubles with a practise question and thought I'd ask here. Given an r.v. X has a pdf of f(x) = k(1-x2), where -1<x<1, I found k to be 3/4. And I found the c.d.f F(x) = 3/4 * (x - x3/3 + 2/3) Now I have to find a value a such that P(-a <= X <= a) = 0.95. I thought...
  45. T

    Probability generating function for random variable

    Homework Statement A random variable X has probability generating function gX(s) = (5-4s2)-1 Calculate P(X=3) and P(X=4) Homework Equations The Attempt at a Solution Ehh don't really know where to go with one... I know: gX(s) = E(sx) = Ʃ p(X=k)(sk) Nit sure how to proceed.. Any help would...
  46. T

    Distribution of Bernoulli random variable

    Homework Statement a) Let X1, X2, ...XN be a collection of independent Bernoulli random variables. What is the distribution of Y = \sumNi = 1 Xi b) Show E(Y) = np Homework Equations Bernoulli equations f(x) = px(1-p)1-x The Attempt at a Solution a)X1 + X2 + ... + XN = p...
  47. M

    Sum of squared uniform random variables

    Homework Statement If X and Y are independent uniformly distributed random variables between 0 and 1, what is the probability that X^2+Y^2 is less than or equal to one. Homework Equations P(Z<1) = P(X^2+Y^2<1) For z between 0 and 1, P(X^2<z) = P(X < √z) = √z The Attempt at a Solution...
  48. M

    Determine constant c that random variable will have a t distribution?

    Determine constant c so that random variable will have a t distribution? Homework Statement Suppose that five random variables x1, x2, x3, x4, x5 are independent and have normal distribution N(0,1). Determine a constant c such that the random variable c*(x1+x2)/\sqrt{x_3^2 + x_4^2 +...
  49. mnb96

    Integral transforms of random processes

    Hello, I considered a statistically independent continuous random process f(x) such that Cov(f(x),f(y))=0 for x\neqy and Cov(f(x),f(x))=σ2. Then I would like to compute the correlation function of the Fourier transform of f, that is Cov\left( F(u),F(v)\right). The result I got from my...
  50. ArcanaNoir

    Probability function of two random variables, another non-convergent integral

    Homework Statement The joint probability density function of the random variable (X, Y) is given by: f(x,y) = \frac{2x}{y^2} \text{where} \; 0 \leq x\leq 1 \; \text{and} \; y\geq 1 and 0 elsewhere. Find the probability density function of the folowing random variable: U=X+Y...
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