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ito_integral [2016/07/06 13:01]
nikolaj
ito_integral [2016/07/06 13:14]
nikolaj
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 One writes One writes
  
-${\mathrm d}X_t = \mu_t(X_ss) \, {\mathrm d}t + \sigma_t(X_ss) \, {\mathrm d}W_t$+${\mathrm d}X_t = \mu_t(X_tt) \, {\mathrm d}t + \sigma_t(X_tt) \, {\mathrm d}W_t$
  
 If $X_t$ isn't known, this is called a stochastic differential equation in $X_t$. ​ If $X_t$ isn't known, this is called a stochastic differential equation in $X_t$. ​
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 $[x,​p]_{\Delta t}:​=x(t+\delta^2{\Delta t})\,​p_{\Delta t}(t)-x(t)\,​p_{\Delta t}(t)$ $[x,​p]_{\Delta t}:​=x(t+\delta^2{\Delta t})\,​p_{\Delta t}(t)-x(t)\,​p_{\Delta t}(t)$
  
-is  +equals ​$m\,​\kappa^2=m\frac{i\hbar}{2m}=\frac{i\hbar}{2}$.
- +
-$m\,​\kappa^2=m\frac{i\hbar}{2m}=\frac{i\hbar}{2}$.+
  
 == Fractional quantum mechanics == == Fractional quantum mechanics ==
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 $P(\Delta x) \propto \exp\left(c\frac{(\Delta x)^2}{\Delta t}\right)$ $P(\Delta x) \propto \exp\left(c\frac{(\Delta x)^2}{\Delta t}\right)$
  
-as next-step distribution,​ and then +as next-step distribution,​ and then $\langle |x|\rangle\propto t^{1/2}$ gives the non-smooth curve.
- +
-$\langle |x|\rangle\propto t^{1/2}$ +
- +
-gives the non-smooth curve.+
  
 You may want to look at other next-step distributions,​ You may want to look at other next-step distributions,​
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