grandes-ecoles 2022 Q21

grandes-ecoles · France · mines-ponts-maths1__mp Moment generating functions Approximation or bound on characteristic function difference
We are given a centered real random variable $Y$ such that $Y ^ { 4 }$ has finite expectation.
Conclude that for all real $\theta$,
$$\left| \Phi _ { Y } ( \theta ) - \exp \left( - \frac { \mathbf { E } \left( Y ^ { 2 } \right) \theta ^ { 2 } } { 2 } \right) \right| \leq \frac { | \theta | ^ { 3 } } { 3 } \left( \mathbf { E } \left( Y ^ { 4 } \right) \right) ^ { 3 / 4 } + \frac { \theta ^ { 4 } } { 8 } \mathbf { E } \left( Y ^ { 4 } \right)$$
We are given a centered real random variable $Y$ such that $Y ^ { 4 }$ has finite expectation.

Conclude that for all real $\theta$,

$$\left| \Phi _ { Y } ( \theta ) - \exp \left( - \frac { \mathbf { E } \left( Y ^ { 2 } \right) \theta ^ { 2 } } { 2 } \right) \right| \leq \frac { | \theta | ^ { 3 } } { 3 } \left( \mathbf { E } \left( Y ^ { 4 } \right) \right) ^ { 3 / 4 } + \frac { \theta ^ { 4 } } { 8 } \mathbf { E } \left( Y ^ { 4 } \right)$$