I think the answer is probably $(1/3*(x1+x2+x3), 1/3*(y1+y2+y3))$.
But is there a simply way to derive it? Thanks for your help.
I think the answer is probably $(1/3*(x1+x2+x3), 1/3*(y1+y2+y3))$.
But is there a simply way to derive it? Thanks for your help.
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The expected value of a random variable distributed uniformly over a bounded region of $A \subset {\mathbb R}^2$ (same goes for ${\mathbb R}^n$) is its centroid. That comes directly from its definition. For each coordinate:
$$E[X_i] = \int_A x_i f_{X_1,X_2}(x_1,x_2) dx_1 dx_2=\frac{\int_A x_i f_{X_1,X_2}(x_1,x_2) dx_1 dx_2}{\int_A f_{X_1,X_2}(x_1,x_2) dx_1 dx_2}$$
Now, we know that the centroid of a planar triangle in is given by the average of its vertex coordinates. To deduce that from the integral is doable, though not terribly easy or nice. For example.