Ito's formula, and the relationship between dt and dB(t)

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reading Bernt Oksendal Stochastic Differential Equations.



I have just seen Ito's Formula, after this the author then says where $dX(t)^2$ is calculated using
$$dtcdot dt=dt cdot dB(t) =dB(t)cdot dt =0$$

and
$$dB(t) cdot dB(t) = dt$$
On page 45 at the top. Where do these relations come from, what is the intuition behind it.







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  • It comes from the fact that the variance of the (suitably normalised) stochastic process $B_t$ known as "Brownian motion" is equal to $t$.
    – uniquesolution
    22 hours ago














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reading Bernt Oksendal Stochastic Differential Equations.



I have just seen Ito's Formula, after this the author then says where $dX(t)^2$ is calculated using
$$dtcdot dt=dt cdot dB(t) =dB(t)cdot dt =0$$

and
$$dB(t) cdot dB(t) = dt$$
On page 45 at the top. Where do these relations come from, what is the intuition behind it.







share|cite|improve this question



















  • It comes from the fact that the variance of the (suitably normalised) stochastic process $B_t$ known as "Brownian motion" is equal to $t$.
    – uniquesolution
    22 hours ago












up vote
1
down vote

favorite
1









up vote
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down vote

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reading Bernt Oksendal Stochastic Differential Equations.



I have just seen Ito's Formula, after this the author then says where $dX(t)^2$ is calculated using
$$dtcdot dt=dt cdot dB(t) =dB(t)cdot dt =0$$

and
$$dB(t) cdot dB(t) = dt$$
On page 45 at the top. Where do these relations come from, what is the intuition behind it.







share|cite|improve this question











reading Bernt Oksendal Stochastic Differential Equations.



I have just seen Ito's Formula, after this the author then says where $dX(t)^2$ is calculated using
$$dtcdot dt=dt cdot dB(t) =dB(t)cdot dt =0$$

and
$$dB(t) cdot dB(t) = dt$$
On page 45 at the top. Where do these relations come from, what is the intuition behind it.









share|cite|improve this question










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asked 23 hours ago









Monty

15212




15212











  • It comes from the fact that the variance of the (suitably normalised) stochastic process $B_t$ known as "Brownian motion" is equal to $t$.
    – uniquesolution
    22 hours ago
















  • It comes from the fact that the variance of the (suitably normalised) stochastic process $B_t$ known as "Brownian motion" is equal to $t$.
    – uniquesolution
    22 hours ago















It comes from the fact that the variance of the (suitably normalised) stochastic process $B_t$ known as "Brownian motion" is equal to $t$.
– uniquesolution
22 hours ago




It comes from the fact that the variance of the (suitably normalised) stochastic process $B_t$ known as "Brownian motion" is equal to $t$.
– uniquesolution
22 hours ago










2 Answers
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For suitable $mu$ and $sigma$, remember that
$$
dX_t = mu(t, X_t) dt + sigma(t, X_t) dB_t, qquad X_0 = x,
$$
is shorthand for
$$
X_t = x + int_0^t mu(s, X_s) ds + int_0^t sigma(s, X_s) dB_s.
$$
Itô's formula for a suitable $f$ tells us that
$$
f(t, X_t)
= f(t, x) + int_0^t f_t(s, X_s) dt + int_0^t f_x(s, X_s) dX_t
+ frac 1 2 int_0^t f_xx(x, X_s) d langle X rangle_t,
$$
where $langle X rangle = (langle X rangle_t)_t geq 0$ is the quadratic variation process of $X$ and is equal to
$$
langle X rangle_t
= left langle int_0^cdot sigma(s, X_s) d W_s right rangle_t
= int_0^t sigma^2(s, X_s) d langle W rangle_s
= int_0^t sigma^2(s, X_s) ds.
$$
The multiplication rules in Øksendal are stated in the way you wrote, so that the version of Itô's formula in that book yields the correct result. In essence, this is because the quadratic variation for a Brownain motion is $langle B rangle_t = t$. It is a good exercise to verify this for yourself. I hope this answers your question.






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    $dtcdot dt=0$ is shorthand notation for the fact that the quadratic variation of the identity function with itself is $0$.



    $dtcdot dB(t)=0$ is shorthand notation for the fact that the cross variation of Brownian motion with the identity function is $0$.



    $dB(t)cdot dB(t)=dt$ is shorthand notation for the fact that the quadratic variation of Brownian motion with itself over a time interval of length $t$ is equal to $t$.






    share|cite|improve this answer





















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      2 Answers
      2






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      2 Answers
      2






      active

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      up vote
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      For suitable $mu$ and $sigma$, remember that
      $$
      dX_t = mu(t, X_t) dt + sigma(t, X_t) dB_t, qquad X_0 = x,
      $$
      is shorthand for
      $$
      X_t = x + int_0^t mu(s, X_s) ds + int_0^t sigma(s, X_s) dB_s.
      $$
      Itô's formula for a suitable $f$ tells us that
      $$
      f(t, X_t)
      = f(t, x) + int_0^t f_t(s, X_s) dt + int_0^t f_x(s, X_s) dX_t
      + frac 1 2 int_0^t f_xx(x, X_s) d langle X rangle_t,
      $$
      where $langle X rangle = (langle X rangle_t)_t geq 0$ is the quadratic variation process of $X$ and is equal to
      $$
      langle X rangle_t
      = left langle int_0^cdot sigma(s, X_s) d W_s right rangle_t
      = int_0^t sigma^2(s, X_s) d langle W rangle_s
      = int_0^t sigma^2(s, X_s) ds.
      $$
      The multiplication rules in Øksendal are stated in the way you wrote, so that the version of Itô's formula in that book yields the correct result. In essence, this is because the quadratic variation for a Brownain motion is $langle B rangle_t = t$. It is a good exercise to verify this for yourself. I hope this answers your question.






      share|cite|improve this answer



























        up vote
        0
        down vote













        For suitable $mu$ and $sigma$, remember that
        $$
        dX_t = mu(t, X_t) dt + sigma(t, X_t) dB_t, qquad X_0 = x,
        $$
        is shorthand for
        $$
        X_t = x + int_0^t mu(s, X_s) ds + int_0^t sigma(s, X_s) dB_s.
        $$
        Itô's formula for a suitable $f$ tells us that
        $$
        f(t, X_t)
        = f(t, x) + int_0^t f_t(s, X_s) dt + int_0^t f_x(s, X_s) dX_t
        + frac 1 2 int_0^t f_xx(x, X_s) d langle X rangle_t,
        $$
        where $langle X rangle = (langle X rangle_t)_t geq 0$ is the quadratic variation process of $X$ and is equal to
        $$
        langle X rangle_t
        = left langle int_0^cdot sigma(s, X_s) d W_s right rangle_t
        = int_0^t sigma^2(s, X_s) d langle W rangle_s
        = int_0^t sigma^2(s, X_s) ds.
        $$
        The multiplication rules in Øksendal are stated in the way you wrote, so that the version of Itô's formula in that book yields the correct result. In essence, this is because the quadratic variation for a Brownain motion is $langle B rangle_t = t$. It is a good exercise to verify this for yourself. I hope this answers your question.






        share|cite|improve this answer

























          up vote
          0
          down vote










          up vote
          0
          down vote









          For suitable $mu$ and $sigma$, remember that
          $$
          dX_t = mu(t, X_t) dt + sigma(t, X_t) dB_t, qquad X_0 = x,
          $$
          is shorthand for
          $$
          X_t = x + int_0^t mu(s, X_s) ds + int_0^t sigma(s, X_s) dB_s.
          $$
          Itô's formula for a suitable $f$ tells us that
          $$
          f(t, X_t)
          = f(t, x) + int_0^t f_t(s, X_s) dt + int_0^t f_x(s, X_s) dX_t
          + frac 1 2 int_0^t f_xx(x, X_s) d langle X rangle_t,
          $$
          where $langle X rangle = (langle X rangle_t)_t geq 0$ is the quadratic variation process of $X$ and is equal to
          $$
          langle X rangle_t
          = left langle int_0^cdot sigma(s, X_s) d W_s right rangle_t
          = int_0^t sigma^2(s, X_s) d langle W rangle_s
          = int_0^t sigma^2(s, X_s) ds.
          $$
          The multiplication rules in Øksendal are stated in the way you wrote, so that the version of Itô's formula in that book yields the correct result. In essence, this is because the quadratic variation for a Brownain motion is $langle B rangle_t = t$. It is a good exercise to verify this for yourself. I hope this answers your question.






          share|cite|improve this answer















          For suitable $mu$ and $sigma$, remember that
          $$
          dX_t = mu(t, X_t) dt + sigma(t, X_t) dB_t, qquad X_0 = x,
          $$
          is shorthand for
          $$
          X_t = x + int_0^t mu(s, X_s) ds + int_0^t sigma(s, X_s) dB_s.
          $$
          Itô's formula for a suitable $f$ tells us that
          $$
          f(t, X_t)
          = f(t, x) + int_0^t f_t(s, X_s) dt + int_0^t f_x(s, X_s) dX_t
          + frac 1 2 int_0^t f_xx(x, X_s) d langle X rangle_t,
          $$
          where $langle X rangle = (langle X rangle_t)_t geq 0$ is the quadratic variation process of $X$ and is equal to
          $$
          langle X rangle_t
          = left langle int_0^cdot sigma(s, X_s) d W_s right rangle_t
          = int_0^t sigma^2(s, X_s) d langle W rangle_s
          = int_0^t sigma^2(s, X_s) ds.
          $$
          The multiplication rules in Øksendal are stated in the way you wrote, so that the version of Itô's formula in that book yields the correct result. In essence, this is because the quadratic variation for a Brownain motion is $langle B rangle_t = t$. It is a good exercise to verify this for yourself. I hope this answers your question.







          share|cite|improve this answer















          share|cite|improve this answer



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          edited 37 mins ago


























          answered 42 mins ago









          K. Brix

          4661211




          4661211




















              up vote
              0
              down vote













              $dtcdot dt=0$ is shorthand notation for the fact that the quadratic variation of the identity function with itself is $0$.



              $dtcdot dB(t)=0$ is shorthand notation for the fact that the cross variation of Brownian motion with the identity function is $0$.



              $dB(t)cdot dB(t)=dt$ is shorthand notation for the fact that the quadratic variation of Brownian motion with itself over a time interval of length $t$ is equal to $t$.






              share|cite|improve this answer

























                up vote
                0
                down vote













                $dtcdot dt=0$ is shorthand notation for the fact that the quadratic variation of the identity function with itself is $0$.



                $dtcdot dB(t)=0$ is shorthand notation for the fact that the cross variation of Brownian motion with the identity function is $0$.



                $dB(t)cdot dB(t)=dt$ is shorthand notation for the fact that the quadratic variation of Brownian motion with itself over a time interval of length $t$ is equal to $t$.






                share|cite|improve this answer























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  $dtcdot dt=0$ is shorthand notation for the fact that the quadratic variation of the identity function with itself is $0$.



                  $dtcdot dB(t)=0$ is shorthand notation for the fact that the cross variation of Brownian motion with the identity function is $0$.



                  $dB(t)cdot dB(t)=dt$ is shorthand notation for the fact that the quadratic variation of Brownian motion with itself over a time interval of length $t$ is equal to $t$.






                  share|cite|improve this answer













                  $dtcdot dt=0$ is shorthand notation for the fact that the quadratic variation of the identity function with itself is $0$.



                  $dtcdot dB(t)=0$ is shorthand notation for the fact that the cross variation of Brownian motion with the identity function is $0$.



                  $dB(t)cdot dB(t)=dt$ is shorthand notation for the fact that the quadratic variation of Brownian motion with itself over a time interval of length $t$ is equal to $t$.







                  share|cite|improve this answer













                  share|cite|improve this answer



                  share|cite|improve this answer











                  answered 33 mins ago









                  gs.co

                  586




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