The joint density function of the random variables X1, X2, X3 is given as
f(x1, x2, x3) = {
c(x1 + 2x2 + 3x3), 0 < xi < 1, i = 1, 2, 3
0, elsewhere
Determine
(i) the value of c
(ii) the joint marginal density function of X1 and X2.
We assume that variables are continuous. We remind that for random variables "X_1", "X_2", "X_3" we have: "P(X_1\\leq x_1, X_2\\leq x_2,X_3\\leq x_3)=\\int_{0}^{x_1}\\int_{0}^{x_2}\\int_{0}^{x_3}f(x_1,x_2,x_3)dx_1dx_2dx_3," where "0<x_1<1,0<x_2<1,0<x_3<1".
(i) The value "c" can be determined from the following equality: "1=\\int_{0}^{1}\\int_{0}^{1}\\int_{0}^{1}f(x_1,x_2,x_3)dx_1dx_2dx_3". We receive: "1=\\int_{0}^{1}\\int_{0}^{1}\\int_{0}^{1}c(x_1+2x_2+3x_3)dx_1dx_2dx_3=c\\int_{0}^{1}\\int_{0}^{1}(\\frac12x^2_1+2x_2x_1+3x_3x_1)|_0^1dx_2dx_3=c\\int_{0}^{1}\\int_{0}^{1}(\\frac12+2x_2+3x_3)dx_2dx_3=c\\int_{0}^{1}(\\frac12x_2+x_2^2+3x_3x_2)|_0^1dx_3=c\\int_{0}^{1}(\\frac32+3x_3)dx_3=c(\\frac32x_3+\\frac32x_3^2)|_0^1=3c"
From the latter we receive that "c=\\frac13".
(ii) The joint marginal density function can be received in the following way: "f(x_1,x_2)=\\frac13\\int_0^1(x_1+2x_2+3x_3)dx_3=\\frac13(x_1x_3+2x_2x_3+\\frac32x_3^2)|_0^1=\\frac13(x_1+2x_2+\\frac32)".
Thus, we receive that "f(x_1,x_2)=\\frac13(x_1+2x_2+\\frac32)".
Answer: (i) "c=\\frac13"; (ii) "f(x_1,x_2)=\\frac13(x_1+2x_2+\\frac32)".
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