Moment Estimate for Simple Linear SDE












0














In a paper I am reading, it is claimed that the SDE
$$
dX_t = b X_t dt + (sigma X_t + beta_t) dB_t , quad t in [0,T],$$

satisfies
$$
Eleft[ sup_{t in [0,T]} |X_t|^p right] < infty, forall p in [2,infty),
$$

where $b, sigma in mathbb{R}$ are constants and $beta$ is a process satisfying
$$
E left[ int_0^T | beta_t |^2 dt right] < infty .
$$

Is this true?










share|cite|improve this question
























  • What is the definition of $X_t$ ?
    – user617446
    Jan 6 at 12:16






  • 1




    Without additional assumptions on $beta$ this is not true. Consider for instance $b=0$, $sigma=0$ and $beta_t := Z$ for some random variable $Z in L^2(mathbb{P})$ which is independent of $(B_t)_t$ and which fails to have a finite moment of order $p>2$ (i.e. $mathbb{E}(|Z|^p)=infty$)
    – saz
    Jan 6 at 12:48












  • that's what I thought, thank you.
    – White
    Jan 6 at 12:53
















0














In a paper I am reading, it is claimed that the SDE
$$
dX_t = b X_t dt + (sigma X_t + beta_t) dB_t , quad t in [0,T],$$

satisfies
$$
Eleft[ sup_{t in [0,T]} |X_t|^p right] < infty, forall p in [2,infty),
$$

where $b, sigma in mathbb{R}$ are constants and $beta$ is a process satisfying
$$
E left[ int_0^T | beta_t |^2 dt right] < infty .
$$

Is this true?










share|cite|improve this question
























  • What is the definition of $X_t$ ?
    – user617446
    Jan 6 at 12:16






  • 1




    Without additional assumptions on $beta$ this is not true. Consider for instance $b=0$, $sigma=0$ and $beta_t := Z$ for some random variable $Z in L^2(mathbb{P})$ which is independent of $(B_t)_t$ and which fails to have a finite moment of order $p>2$ (i.e. $mathbb{E}(|Z|^p)=infty$)
    – saz
    Jan 6 at 12:48












  • that's what I thought, thank you.
    – White
    Jan 6 at 12:53














0












0








0







In a paper I am reading, it is claimed that the SDE
$$
dX_t = b X_t dt + (sigma X_t + beta_t) dB_t , quad t in [0,T],$$

satisfies
$$
Eleft[ sup_{t in [0,T]} |X_t|^p right] < infty, forall p in [2,infty),
$$

where $b, sigma in mathbb{R}$ are constants and $beta$ is a process satisfying
$$
E left[ int_0^T | beta_t |^2 dt right] < infty .
$$

Is this true?










share|cite|improve this question















In a paper I am reading, it is claimed that the SDE
$$
dX_t = b X_t dt + (sigma X_t + beta_t) dB_t , quad t in [0,T],$$

satisfies
$$
Eleft[ sup_{t in [0,T]} |X_t|^p right] < infty, forall p in [2,infty),
$$

where $b, sigma in mathbb{R}$ are constants and $beta$ is a process satisfying
$$
E left[ int_0^T | beta_t |^2 dt right] < infty .
$$

Is this true?







sde






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Jan 6 at 12:21







White

















asked Jan 6 at 12:15









WhiteWhite

789




789












  • What is the definition of $X_t$ ?
    – user617446
    Jan 6 at 12:16






  • 1




    Without additional assumptions on $beta$ this is not true. Consider for instance $b=0$, $sigma=0$ and $beta_t := Z$ for some random variable $Z in L^2(mathbb{P})$ which is independent of $(B_t)_t$ and which fails to have a finite moment of order $p>2$ (i.e. $mathbb{E}(|Z|^p)=infty$)
    – saz
    Jan 6 at 12:48












  • that's what I thought, thank you.
    – White
    Jan 6 at 12:53


















  • What is the definition of $X_t$ ?
    – user617446
    Jan 6 at 12:16






  • 1




    Without additional assumptions on $beta$ this is not true. Consider for instance $b=0$, $sigma=0$ and $beta_t := Z$ for some random variable $Z in L^2(mathbb{P})$ which is independent of $(B_t)_t$ and which fails to have a finite moment of order $p>2$ (i.e. $mathbb{E}(|Z|^p)=infty$)
    – saz
    Jan 6 at 12:48












  • that's what I thought, thank you.
    – White
    Jan 6 at 12:53
















What is the definition of $X_t$ ?
– user617446
Jan 6 at 12:16




What is the definition of $X_t$ ?
– user617446
Jan 6 at 12:16




1




1




Without additional assumptions on $beta$ this is not true. Consider for instance $b=0$, $sigma=0$ and $beta_t := Z$ for some random variable $Z in L^2(mathbb{P})$ which is independent of $(B_t)_t$ and which fails to have a finite moment of order $p>2$ (i.e. $mathbb{E}(|Z|^p)=infty$)
– saz
Jan 6 at 12:48






Without additional assumptions on $beta$ this is not true. Consider for instance $b=0$, $sigma=0$ and $beta_t := Z$ for some random variable $Z in L^2(mathbb{P})$ which is independent of $(B_t)_t$ and which fails to have a finite moment of order $p>2$ (i.e. $mathbb{E}(|Z|^p)=infty$)
– saz
Jan 6 at 12:48














that's what I thought, thank you.
– White
Jan 6 at 12:53




that's what I thought, thank you.
– White
Jan 6 at 12:53










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