The sum still has a normal distribution, now with
Its scaled cumulant-generating function is
The limit is the same everywhere-finite function as in part (b), so the Gärtner–Ellis theorem gives
at large-deviation speed , when .
One can also see exactly why has no effect through exponential equivalence. For every , the Chernoff bound for the two Gaussian tail bounds gives, when and ,
Its logarithm divided by tends to . If , this probability is eventually zero. The transfer result for exponential equivalence says that coupled families whose distance exceeds each fixed positive tolerance with superexponentially small probability share a large deviation principle with the same good rate function. Apply it to and . This also covers , with the point-mass rate function from part (b).

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