For Q(d), f(x) is the pdf of the uniform distribution. If X follows U(0,1), then f(x) is 1 for 0<=x<=1 and 0 else. Similarly, g(x) is the pdf of the uniform distribution on [1,2].
Ok.
For Q(d), f(x) is the pdf of the uniform distribution. If X follows U(0,1), then f(x) is 1 for 0<=x<=1 and 0 else. Similarly, g(x) is the pdf of the uniform distribution on [1,2].
Ok.