Meaning of $L^2 (mathcal{F}_T, P)$?
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The space $L^2(mathcal{F}_T, P)$ is used in my textbook, but does not seem to be defined anywhere that I can find (and is ommited in the symbols table at the end of the book). Here, $P$ is a probability measure, and ${mathcal{F}_t}$ is a filtration.
As I understand it, a function $f in L^2 (P)$ if $(int f^2 dP)^{1/2} < infty$
The notation $L^2(mathcal{F}_T, P)$ is used in the context of Ito integrals from $S < t < T$ where $mathcal{F}_t$ is the filtration generated by the Brownian motion process.
So what does $L^2(mathcal{F}_T, P)$ mean?
I am guessing it means that $int f^2 dP < infty$ and $f(t,omega)$ is $mathcal{F}_t$-adapted. But it's never stated explicitly.
stochastic-processes definition self-learning
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add a comment |
$begingroup$
The space $L^2(mathcal{F}_T, P)$ is used in my textbook, but does not seem to be defined anywhere that I can find (and is ommited in the symbols table at the end of the book). Here, $P$ is a probability measure, and ${mathcal{F}_t}$ is a filtration.
As I understand it, a function $f in L^2 (P)$ if $(int f^2 dP)^{1/2} < infty$
The notation $L^2(mathcal{F}_T, P)$ is used in the context of Ito integrals from $S < t < T$ where $mathcal{F}_t$ is the filtration generated by the Brownian motion process.
So what does $L^2(mathcal{F}_T, P)$ mean?
I am guessing it means that $int f^2 dP < infty$ and $f(t,omega)$ is $mathcal{F}_t$-adapted. But it's never stated explicitly.
stochastic-processes definition self-learning
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1
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Generally, the notation $L^p(X , Sigma , mu)$ is the space of $p$ integrable functions ($int |f|^p mathrm{d}mu < infty$) (up to equivalence of course), with $sigma$ algebra $Sigma$ and measure $mu$ on a measure space $X$ . So I think your guess is correct.
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– rubikscube09
Dec 15 '18 at 4:07
add a comment |
$begingroup$
The space $L^2(mathcal{F}_T, P)$ is used in my textbook, but does not seem to be defined anywhere that I can find (and is ommited in the symbols table at the end of the book). Here, $P$ is a probability measure, and ${mathcal{F}_t}$ is a filtration.
As I understand it, a function $f in L^2 (P)$ if $(int f^2 dP)^{1/2} < infty$
The notation $L^2(mathcal{F}_T, P)$ is used in the context of Ito integrals from $S < t < T$ where $mathcal{F}_t$ is the filtration generated by the Brownian motion process.
So what does $L^2(mathcal{F}_T, P)$ mean?
I am guessing it means that $int f^2 dP < infty$ and $f(t,omega)$ is $mathcal{F}_t$-adapted. But it's never stated explicitly.
stochastic-processes definition self-learning
$endgroup$
The space $L^2(mathcal{F}_T, P)$ is used in my textbook, but does not seem to be defined anywhere that I can find (and is ommited in the symbols table at the end of the book). Here, $P$ is a probability measure, and ${mathcal{F}_t}$ is a filtration.
As I understand it, a function $f in L^2 (P)$ if $(int f^2 dP)^{1/2} < infty$
The notation $L^2(mathcal{F}_T, P)$ is used in the context of Ito integrals from $S < t < T$ where $mathcal{F}_t$ is the filtration generated by the Brownian motion process.
So what does $L^2(mathcal{F}_T, P)$ mean?
I am guessing it means that $int f^2 dP < infty$ and $f(t,omega)$ is $mathcal{F}_t$-adapted. But it's never stated explicitly.
stochastic-processes definition self-learning
stochastic-processes definition self-learning
edited Dec 15 '18 at 11:42
Andrews
3571317
3571317
asked Dec 15 '18 at 3:51
XiaomiXiaomi
1,050115
1,050115
1
$begingroup$
Generally, the notation $L^p(X , Sigma , mu)$ is the space of $p$ integrable functions ($int |f|^p mathrm{d}mu < infty$) (up to equivalence of course), with $sigma$ algebra $Sigma$ and measure $mu$ on a measure space $X$ . So I think your guess is correct.
$endgroup$
– rubikscube09
Dec 15 '18 at 4:07
add a comment |
1
$begingroup$
Generally, the notation $L^p(X , Sigma , mu)$ is the space of $p$ integrable functions ($int |f|^p mathrm{d}mu < infty$) (up to equivalence of course), with $sigma$ algebra $Sigma$ and measure $mu$ on a measure space $X$ . So I think your guess is correct.
$endgroup$
– rubikscube09
Dec 15 '18 at 4:07
1
1
$begingroup$
Generally, the notation $L^p(X , Sigma , mu)$ is the space of $p$ integrable functions ($int |f|^p mathrm{d}mu < infty$) (up to equivalence of course), with $sigma$ algebra $Sigma$ and measure $mu$ on a measure space $X$ . So I think your guess is correct.
$endgroup$
– rubikscube09
Dec 15 '18 at 4:07
$begingroup$
Generally, the notation $L^p(X , Sigma , mu)$ is the space of $p$ integrable functions ($int |f|^p mathrm{d}mu < infty$) (up to equivalence of course), with $sigma$ algebra $Sigma$ and measure $mu$ on a measure space $X$ . So I think your guess is correct.
$endgroup$
– rubikscube09
Dec 15 '18 at 4:07
add a comment |
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$begingroup$
Generally, the notation $L^p(X , Sigma , mu)$ is the space of $p$ integrable functions ($int |f|^p mathrm{d}mu < infty$) (up to equivalence of course), with $sigma$ algebra $Sigma$ and measure $mu$ on a measure space $X$ . So I think your guess is correct.
$endgroup$
– rubikscube09
Dec 15 '18 at 4:07