I'm struggling to get the probability of $\mathbb{P}[X\le Y+Z]$ where all three are from the same distribution with the following pdf:
$$f_X (x) = \frac{2(x-a)}{(b-a)^2}$$ where $0<a<b$. (Notice the pdf above comes from taking the maximum of two random variables uniformly distributed between $a,b$).
However, I know that I need to use convolution to compute $\mathbb{P}[X\le Y+Z]$ where $X,Y,Z$ are i.i.d. But I admit that I'm stuck on this convolution step. How do I convolve these and get $\mathbb{P}[X\le Y+Z]$?




Edit: Updated the answer to the new question.
To expand on my answer in the comments, you can check my Mathematica notebook here: https://www.wolframcloud.com/obj/d4a194bf-fb09-4ce3-abe6-4238d62e53e0
If $$p(x) = \frac{2(x-a)}{(a-b)^2} * \mathbb1[a<x<b]$$
You get the convolution (and pdf for the sum) $$ q(y)=\int_{-\infty}^\infty p(x)p(y-x)dx = \begin{cases} -\frac{2 (2 a-y)^3}{3 (a-b)^4)} & a<b, 2 a<y, a+b\ge y\\ \frac{2 (2 b-y) (6 a^2-2 b^2-6 a y+2 b y+y^2)}{3 (a-b)^4} & a<b, a+b<y, 2 b>y. \end{cases} $$ Just using the formula from the Wikipedia page says. The only difficulty is getting all the cases of the integration right, but Mathematica helps with that.