4. Let θ be uniformly distributed on [0,1]. For each df. F, define G(y) = supfx:...
Let X be a uniformly distributed random variable on [0,1]. Then, X divides [0,1] into the subintervals [0,X] and [x,1]. By symmetry, each subinterval has a mean length 0.5. Now pick one of the subintervals at random in the following way: Let Y be independent of X and uniformly distributed on [0,1], and pick the subinterval [0,X], or (X,1] that Y falls in. Let L be the length of the subinterval so chosen. What is the mean length of L...
Let f: [0,1]→R be uniformly continuous, so that for every >0, there exists δ >0 such that |x−y|< δ=⇒|f(x)−f(y)|< for every x,y∈[0,1].The graph of f is the set G f={(x,f(x)) :x∈[0,1]}.Show that G f has measure zero Let f : [0, 1] → R be uniformly continuous, so that for every e > 0, there exists 8 >0 such that 2- y<83|f() - f(y)< € for every 1, 9 € [0,1]. The graph of f is the set Gj =...
Let f : [0,1] → R be uniformly continuous, so that for every e > 0, there exists 8 >0 such that 2 - y<== f() - f(y)< € for every 2, Y € [0,1]. The graph of f is the set Gj = {, f(c)): 1 € [0,1]}. : Show that G has measure zero.
Let f : [0,1] → R be uniformly continuous, so that for every e > 0, there exists 8 >0 such that 2 - y<== f() - f(y)< € for every 2, Y € [0,1]. The graph of f is the set Gj = {, f(c)): 1 € [0,1]}. : Show that G has measure zero.
Let X and Y be independent Gaussian(0,1) random variables. Define the random variables R and Θ, by R2=X2+Y2,Θ = tan−1(Y/X).You can think of X and Y as the real and the imaginary part of a signal. Similarly, R2 is its power, Θ is the phase, and R is the magnitude of that signal. (a) Find the joint probability density function of R and Θ, i.e.,fR,Θ(r,θ).
1. Let U be a random variable that is uniformly distributed on the interval (0,1) (a) Show that V 1 - U is also a uniformly distributed random variable on the interval (0,1) (b) Show that X-In(U) is an exponential random variable and find its associated parameter (c) Let W be another random variable that is uformly distributed on (0,1). Assume that U and W are independent. Show that a probability density function of Y-U+W is y, if y E...
5. Let X be uniformly distributed over (0,1). a) Find the density function of Y = ex. b) Let W = 9(X). Can you find a function g for which W is an exponential random variable? Explain.
4.3. Let X and Y be independent random variables uniformly distributed over the interval [θ-, θ + ] for some fixed θ. Show that W X-Y has a distribution that is independent of θ with density function for lwl > 1.
Let f : [0, 1] + R be uniformly continuous, so that for every e > 0, there exists 8 >0 such that |- y<f(x) - f(y)<for every x, y € (0,1). The graph of f is the set G = {(x, f(x)) : 2 € (0,1]}. Show that G, has measure zero
Let X, Y be iid random variables that are both uniformly distributed over the interval (0,1). Let U = X/Y. Calculate both the CDF and the pdf of U, and draw graphs of both functions.