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Mathematical expectation of Y=e(-2X)
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The expected basic algorithm is to multiply each possible value of a random variable by the corresponding probability, and then add it.

Here e (-2x) is equivalent to all possible values of y, and f(x) is the probability corresponding to each value, so the integration is naturally expected.

You can calculate the distribution density of y first, but needless to say, if you calculate the distribution density of y as g(y), you still have to integrate yg(y) and multiply it. The direct integral of g(y) must be 1.