Question

In: Statistics and Probability

define U=x+y, V=x-y. find the joint and marginal pdf of U and V

define U=x+y, V=x-y.

find the joint and marginal pdf of U and V

Solutions

Expert Solution

Let X and Y be independent exponential random variables with common parameter .

Consider , U = X + Y & V = X - Y

now , according to question :

it is given that ,

f(X,Y) = 1 / * exp(-(X+Y)/)

, X>0,Y>0

Now , since U = X+Y & V = X-Y , and there is only one solution given by:

X =(U+V)/2 & Y =(U-V)/2

and also the jacobian of the transformation is given by J(X,Y) = -2

And now , f(U,V) = 1/2 * exp(-u/)

represents the joint pdf of U and V .

Now , marginal pdf of U and V is given by :

f(U) = f( U,V) dV

f(U) = 1/2 exp(-u/) dV

f(U) = u / * exp(-u/) , is the marginal pdf of U.

f(V) = f( U,V) dU

f(V) =  1/2 exp(-u/) dU

f(V) = 1/2 * exp(-|V|/) , is the marginal pdf of V .


Related Solutions

For the following u(x, y), show that it is harmonic and then find a corresponding v(x,...
For the following u(x, y), show that it is harmonic and then find a corresponding v(x, y) such that f(z)=u+iv is analytic. u(x, y)=(x^2-y^2) cos(y)e^x-2xysin(y)ex
The joint PDF of X and Y is given by f(x, y) = C, (0< x<y<1)....
The joint PDF of X and Y is given by f(x, y) = C, (0< x<y<1). a) Determine the value of C b) Determine the marginal distribution of X and compute E(X) and Var(X) c) Determine the marginal distribution of Y and compute E(Y) and Var(Y) d) Compute the correlation coefficient between X and Y
Let X ∼ Poisson(λ) and Y ∼ U[X, 2X]. Find E(Y ) and V ar(Y ).
Let X ∼ Poisson(λ) and Y ∼ U[X, 2X]. Find E(Y ) and V ar(Y ).
Let X and Y have the joint pdf f(x, y) = 8xy, 0 ≤ x ≤...
Let X and Y have the joint pdf f(x, y) = 8xy, 0 ≤ x ≤ y ≤ 1. (i) Find the conditional means of X given Y, and Y given X. (ii) Find the conditional variance of X given Y. (iii) Find the correlation coefficient between X and Y.
Let X and Y have joint pdf f(x,y)=k(x+y), for 0<=x<=1 and 0<=y<=1. a) Find k. b)...
Let X and Y have joint pdf f(x,y)=k(x+y), for 0<=x<=1 and 0<=y<=1. a) Find k. b) Find the joint cumulative density function of (X,Y) c) Find the marginal pdf of X and Y. d) Find Pr[Y<X2] and Pr[X+Y>0.5]
(a) Let X and Y have the joint pdf ???(?, ?)=1, 0≤x≤3/2, 0≤y≤1, zero elsewhere. Find:...
(a) Let X and Y have the joint pdf ???(?, ?)=1, 0≤x≤3/2, 0≤y≤1, zero elsewhere. Find: 1 The pdf of Z=X+Y 2 The pdf of Z=X.Y
A joint pdf is defined as f(x) =cxy for x in [1,2] and y in [4,5]...
A joint pdf is defined as f(x) =cxy for x in [1,2] and y in [4,5] (a) What is the value of the constant c? (b) Are X and Y independent? Explain. (c) What is the covariance oc X and Y? i.e. Cov(X ,Y)
X and Y are the future lifetimes of two machines. The joint PDF of the two...
X and Y are the future lifetimes of two machines. The joint PDF of the two random variables is f(x, y) = 12(x+y+1)^-5, x>), y>0. Calculate E(X|Y = 2).
Question 6. Suppose the joint pdf of X and Y is f(x,y) = ax^2y for 0...
Question 6. Suppose the joint pdf of X and Y is f(x,y) = ax^2y for 0 < x < y 0 < y < 1 0 otherwise Find a. Find the correlation between X and Y. Are X and Y independent? Explain. Find the conditional variance Var(X||Y = 1)
Find five positive natural numbers u, v, w, x, y such that there is no subset...
Find five positive natural numbers u, v, w, x, y such that there is no subset with a sum divisible by 5
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT