Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision Both sides next revision
linear_first-order_ode_system [2014/03/06 22:34]
nikolaj
linear_first-order_ode_system [2014/03/07 00:20]
nikolaj
Line 32: Line 32:
   * The equation $y'​(t)=A(t)y(t)$ is solved by $y(t)=\mathrm{e}^{\int A(t)\,​\mathrm dt}y(0)$. ​   * The equation $y'​(t)=A(t)y(t)$ is solved by $y(t)=\mathrm{e}^{\int A(t)\,​\mathrm dt}y(0)$. ​
  
-We can in fact sketch how to deal with this equation in cases where $A(t)$ is a more general operator. Dyson series: Say we at least know how to apply $A(t)$. The iterative solution technique for the equation is $y_{n+1}(t)=y(0)+\int_{0}^t A(t)\,​y_n(t)\,​\mathrm dt$. Note that "​$f(x):​=y(0)+\mathrm{int}x $" iterated with initial condition $y(0)$ gives $\left(\sum_{n=0}^\infty\mathrm{int}^n\right)y(0)$. Factors $\frac{1}{n!}$ are introduces when time-ordering the integrand and the resulting series is hence mnemonically written as $y(t)=\mathcal T\exp(int_{t_0}^tA(t))y(0)$+We can in fact sketch how to deal with this equation in cases where $A(t)$ is a more general operator. Dyson series: Say we at least know how to apply $A(t)$. The iterative solution technique for the equation is $y_{n+1}(t)=y(0)+\int_{0}^t A(t)\,​y_n(t)\,​\mathrm dt$. Note that "​$f(x):​=y(0)+\mathrm{int}x $" iterated with initial condition $y(0)$ gives $\left(\sum_{n=0}^\infty\mathrm{int}^n\right)y(0)$. Factors $\frac{1}{n!}$ are introduces when time-ordering the integrand and the resulting series is hence mnemonically written as $y(t)=\mathcal T\exp(\mathrm{int}_{t_0}^tA(t))y(0)$
  
   * For $A(t),b(t)$ one-dimensional one has   * For $A(t),b(t)$ one-dimensional one has
Link to graph
Log In
Improvements of the human condition