What are the mean and standard deviation of the probability density function given by (p(x))/k=x^n-x^(n-1) for x in [0,1], in terms of k and n, with k being a constant such that the cumulative density across the range of x is equal to 1?

1 Answer
Apr 12, 2018

langle x rangle = n/(n+2)

sigma = 1/(2 + n) sqrt ((2 n)/( (3 + n)))

Explanation:

Find normalisation constant k so that int_(mathbb R) dx \ mathbb P(x) = 1:

k int_0^1 \ dx \ x^n - x^(n-1) = k ((x^(n+1))/(n+1) - (x^(n))/(n))_0^1 = - k 1/(n(n+1))

implies k = - n(n+1)

Mean

langle x rangle = k int_0^1 \ dx \ x mathbb P(x)

= k int_0^1\ dx \ x^(n+1) - x^n = k ((x^(n+2))/(n+2) - (x^(n+1))/(n+1))_0^1

= n/(n+2)

Standard deviation

Using the relation: sigma^2 = langle x^2 rangle - langle x rangle^2

langle x^2 rangle = int_0^1 \ dx \ x^2 mathbb P(x)

= k int_0^1 \ dx \ x^(n+2) - x^(n+1) = k ((x^(n+3))/(n+3) - (x^(n+2))/(n+2))_0^1

= (n(n+1))/((n+2)(n+3))

Therefore:

sigma = sqrt ( (n(n+1))/((n+2)(n+3)) - ( n/(n+2) )^2)

= 1/(2 + n) sqrt ((2 n)/( (3 + n)))