Shifted laplace transform derivative?












1












$begingroup$


I have a linear ODE that has terms that are shifted, for example



$$frac{d^k f(x-n)}{dx^k}$$



from a general equation



$$f(x)=sum_{k=0}^{n} a_k frac{d^k f(x-n)}{dx^k}$$



where $a_k$ are constants. Since the ODE was linear i assumed a Laplace transform would be easy to apply to this, but a laplace transform for something like $frac{df(t-n)}{dt}$ gives



$$int_{0}^{infty} frac{df(t-n)}{dt} e^{-st}dt=int_{n}^{infty} frac{df(t)}{dt} e^{-s(t+n)}dt$$



$$=e^{-ns}[int_{n}^{infty} frac{d}{dt}(f(t) e^{-st})dt - sint_{n}^{infty}f(t)e^{-st}]$$



$$=e^{-ns}[-f(n^{-})e^{-ns}-s(F(s)-int_{0}^{n} f(t)e^{-st}dt)]$$



Is this correct? What about the last term, is there an evaluation for it or is it computer only? Is there an easier way to solve the above ODE?










share|cite|improve this question











$endgroup$

















    1












    $begingroup$


    I have a linear ODE that has terms that are shifted, for example



    $$frac{d^k f(x-n)}{dx^k}$$



    from a general equation



    $$f(x)=sum_{k=0}^{n} a_k frac{d^k f(x-n)}{dx^k}$$



    where $a_k$ are constants. Since the ODE was linear i assumed a Laplace transform would be easy to apply to this, but a laplace transform for something like $frac{df(t-n)}{dt}$ gives



    $$int_{0}^{infty} frac{df(t-n)}{dt} e^{-st}dt=int_{n}^{infty} frac{df(t)}{dt} e^{-s(t+n)}dt$$



    $$=e^{-ns}[int_{n}^{infty} frac{d}{dt}(f(t) e^{-st})dt - sint_{n}^{infty}f(t)e^{-st}]$$



    $$=e^{-ns}[-f(n^{-})e^{-ns}-s(F(s)-int_{0}^{n} f(t)e^{-st}dt)]$$



    Is this correct? What about the last term, is there an evaluation for it or is it computer only? Is there an easier way to solve the above ODE?










    share|cite|improve this question











    $endgroup$















      1












      1








      1





      $begingroup$


      I have a linear ODE that has terms that are shifted, for example



      $$frac{d^k f(x-n)}{dx^k}$$



      from a general equation



      $$f(x)=sum_{k=0}^{n} a_k frac{d^k f(x-n)}{dx^k}$$



      where $a_k$ are constants. Since the ODE was linear i assumed a Laplace transform would be easy to apply to this, but a laplace transform for something like $frac{df(t-n)}{dt}$ gives



      $$int_{0}^{infty} frac{df(t-n)}{dt} e^{-st}dt=int_{n}^{infty} frac{df(t)}{dt} e^{-s(t+n)}dt$$



      $$=e^{-ns}[int_{n}^{infty} frac{d}{dt}(f(t) e^{-st})dt - sint_{n}^{infty}f(t)e^{-st}]$$



      $$=e^{-ns}[-f(n^{-})e^{-ns}-s(F(s)-int_{0}^{n} f(t)e^{-st}dt)]$$



      Is this correct? What about the last term, is there an evaluation for it or is it computer only? Is there an easier way to solve the above ODE?










      share|cite|improve this question











      $endgroup$




      I have a linear ODE that has terms that are shifted, for example



      $$frac{d^k f(x-n)}{dx^k}$$



      from a general equation



      $$f(x)=sum_{k=0}^{n} a_k frac{d^k f(x-n)}{dx^k}$$



      where $a_k$ are constants. Since the ODE was linear i assumed a Laplace transform would be easy to apply to this, but a laplace transform for something like $frac{df(t-n)}{dt}$ gives



      $$int_{0}^{infty} frac{df(t-n)}{dt} e^{-st}dt=int_{n}^{infty} frac{df(t)}{dt} e^{-s(t+n)}dt$$



      $$=e^{-ns}[int_{n}^{infty} frac{d}{dt}(f(t) e^{-st})dt - sint_{n}^{infty}f(t)e^{-st}]$$



      $$=e^{-ns}[-f(n^{-})e^{-ns}-s(F(s)-int_{0}^{n} f(t)e^{-st}dt)]$$



      Is this correct? What about the last term, is there an evaluation for it or is it computer only? Is there an easier way to solve the above ODE?







      ordinary-differential-equations laplace-transform






      share|cite|improve this question















      share|cite|improve this question













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      share|cite|improve this question








      edited Jan 28 at 17:11







      Baklava Gain

















      asked Jan 26 at 8:44









      Baklava GainBaklava Gain

      14810




      14810






















          1 Answer
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          $begingroup$

          The Laplace transforms applies to functions that are assumed to be zero on $t < 0$. The shifted function $f(t-t_0)$ would be zero on $t < t_0$. The time-shifting property says



          $$ int_0^infty f^{(n)}(t-t_0)e^{-st}dt = int_{t_0}^infty f^{(n)}(t)e^{-s(t+t_0)}dt = e^{-t_0s} int_0^infty f^{(n)}(t)e^{-st}dt $$



          where the last integral is just the Laplace transform of $f^{(n)}(t)$






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Is there a way to solve the above ODE using another method, like Fourier transforms then or some other method and does it still give a partial integral? Technically, the solution of my problem is not defined for $x leq 0$, though values could be obtained through interpolation.
            $endgroup$
            – Baklava Gain
            Jan 28 at 16:59










          • $begingroup$
            What is the ODE? I think you should ask a separate question for that.
            $endgroup$
            – Dylan
            Jan 28 at 17:03










          • $begingroup$
            Ok i've edited the question to include the full equation
            $endgroup$
            – Baklava Gain
            Jan 28 at 17:12










          • $begingroup$
            This is called a delay differential equation. It's better to write it as $$ sum_{k=0}^n a_k f^{(k)}(x) = f(x+x_0) $$ You're free to look up different methods of solving it, or ask another question about it. I'm not going to answer it here, as it's now a completely different problem.
            $endgroup$
            – Dylan
            Jan 28 at 18:25











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          0












          $begingroup$

          The Laplace transforms applies to functions that are assumed to be zero on $t < 0$. The shifted function $f(t-t_0)$ would be zero on $t < t_0$. The time-shifting property says



          $$ int_0^infty f^{(n)}(t-t_0)e^{-st}dt = int_{t_0}^infty f^{(n)}(t)e^{-s(t+t_0)}dt = e^{-t_0s} int_0^infty f^{(n)}(t)e^{-st}dt $$



          where the last integral is just the Laplace transform of $f^{(n)}(t)$






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Is there a way to solve the above ODE using another method, like Fourier transforms then or some other method and does it still give a partial integral? Technically, the solution of my problem is not defined for $x leq 0$, though values could be obtained through interpolation.
            $endgroup$
            – Baklava Gain
            Jan 28 at 16:59










          • $begingroup$
            What is the ODE? I think you should ask a separate question for that.
            $endgroup$
            – Dylan
            Jan 28 at 17:03










          • $begingroup$
            Ok i've edited the question to include the full equation
            $endgroup$
            – Baklava Gain
            Jan 28 at 17:12










          • $begingroup$
            This is called a delay differential equation. It's better to write it as $$ sum_{k=0}^n a_k f^{(k)}(x) = f(x+x_0) $$ You're free to look up different methods of solving it, or ask another question about it. I'm not going to answer it here, as it's now a completely different problem.
            $endgroup$
            – Dylan
            Jan 28 at 18:25
















          0












          $begingroup$

          The Laplace transforms applies to functions that are assumed to be zero on $t < 0$. The shifted function $f(t-t_0)$ would be zero on $t < t_0$. The time-shifting property says



          $$ int_0^infty f^{(n)}(t-t_0)e^{-st}dt = int_{t_0}^infty f^{(n)}(t)e^{-s(t+t_0)}dt = e^{-t_0s} int_0^infty f^{(n)}(t)e^{-st}dt $$



          where the last integral is just the Laplace transform of $f^{(n)}(t)$






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Is there a way to solve the above ODE using another method, like Fourier transforms then or some other method and does it still give a partial integral? Technically, the solution of my problem is not defined for $x leq 0$, though values could be obtained through interpolation.
            $endgroup$
            – Baklava Gain
            Jan 28 at 16:59










          • $begingroup$
            What is the ODE? I think you should ask a separate question for that.
            $endgroup$
            – Dylan
            Jan 28 at 17:03










          • $begingroup$
            Ok i've edited the question to include the full equation
            $endgroup$
            – Baklava Gain
            Jan 28 at 17:12










          • $begingroup$
            This is called a delay differential equation. It's better to write it as $$ sum_{k=0}^n a_k f^{(k)}(x) = f(x+x_0) $$ You're free to look up different methods of solving it, or ask another question about it. I'm not going to answer it here, as it's now a completely different problem.
            $endgroup$
            – Dylan
            Jan 28 at 18:25














          0












          0








          0





          $begingroup$

          The Laplace transforms applies to functions that are assumed to be zero on $t < 0$. The shifted function $f(t-t_0)$ would be zero on $t < t_0$. The time-shifting property says



          $$ int_0^infty f^{(n)}(t-t_0)e^{-st}dt = int_{t_0}^infty f^{(n)}(t)e^{-s(t+t_0)}dt = e^{-t_0s} int_0^infty f^{(n)}(t)e^{-st}dt $$



          where the last integral is just the Laplace transform of $f^{(n)}(t)$






          share|cite|improve this answer









          $endgroup$



          The Laplace transforms applies to functions that are assumed to be zero on $t < 0$. The shifted function $f(t-t_0)$ would be zero on $t < t_0$. The time-shifting property says



          $$ int_0^infty f^{(n)}(t-t_0)e^{-st}dt = int_{t_0}^infty f^{(n)}(t)e^{-s(t+t_0)}dt = e^{-t_0s} int_0^infty f^{(n)}(t)e^{-st}dt $$



          where the last integral is just the Laplace transform of $f^{(n)}(t)$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Jan 27 at 7:11









          DylanDylan

          14.1k31127




          14.1k31127












          • $begingroup$
            Is there a way to solve the above ODE using another method, like Fourier transforms then or some other method and does it still give a partial integral? Technically, the solution of my problem is not defined for $x leq 0$, though values could be obtained through interpolation.
            $endgroup$
            – Baklava Gain
            Jan 28 at 16:59










          • $begingroup$
            What is the ODE? I think you should ask a separate question for that.
            $endgroup$
            – Dylan
            Jan 28 at 17:03










          • $begingroup$
            Ok i've edited the question to include the full equation
            $endgroup$
            – Baklava Gain
            Jan 28 at 17:12










          • $begingroup$
            This is called a delay differential equation. It's better to write it as $$ sum_{k=0}^n a_k f^{(k)}(x) = f(x+x_0) $$ You're free to look up different methods of solving it, or ask another question about it. I'm not going to answer it here, as it's now a completely different problem.
            $endgroup$
            – Dylan
            Jan 28 at 18:25


















          • $begingroup$
            Is there a way to solve the above ODE using another method, like Fourier transforms then or some other method and does it still give a partial integral? Technically, the solution of my problem is not defined for $x leq 0$, though values could be obtained through interpolation.
            $endgroup$
            – Baklava Gain
            Jan 28 at 16:59










          • $begingroup$
            What is the ODE? I think you should ask a separate question for that.
            $endgroup$
            – Dylan
            Jan 28 at 17:03










          • $begingroup$
            Ok i've edited the question to include the full equation
            $endgroup$
            – Baklava Gain
            Jan 28 at 17:12










          • $begingroup$
            This is called a delay differential equation. It's better to write it as $$ sum_{k=0}^n a_k f^{(k)}(x) = f(x+x_0) $$ You're free to look up different methods of solving it, or ask another question about it. I'm not going to answer it here, as it's now a completely different problem.
            $endgroup$
            – Dylan
            Jan 28 at 18:25
















          $begingroup$
          Is there a way to solve the above ODE using another method, like Fourier transforms then or some other method and does it still give a partial integral? Technically, the solution of my problem is not defined for $x leq 0$, though values could be obtained through interpolation.
          $endgroup$
          – Baklava Gain
          Jan 28 at 16:59




          $begingroup$
          Is there a way to solve the above ODE using another method, like Fourier transforms then or some other method and does it still give a partial integral? Technically, the solution of my problem is not defined for $x leq 0$, though values could be obtained through interpolation.
          $endgroup$
          – Baklava Gain
          Jan 28 at 16:59












          $begingroup$
          What is the ODE? I think you should ask a separate question for that.
          $endgroup$
          – Dylan
          Jan 28 at 17:03




          $begingroup$
          What is the ODE? I think you should ask a separate question for that.
          $endgroup$
          – Dylan
          Jan 28 at 17:03












          $begingroup$
          Ok i've edited the question to include the full equation
          $endgroup$
          – Baklava Gain
          Jan 28 at 17:12




          $begingroup$
          Ok i've edited the question to include the full equation
          $endgroup$
          – Baklava Gain
          Jan 28 at 17:12












          $begingroup$
          This is called a delay differential equation. It's better to write it as $$ sum_{k=0}^n a_k f^{(k)}(x) = f(x+x_0) $$ You're free to look up different methods of solving it, or ask another question about it. I'm not going to answer it here, as it's now a completely different problem.
          $endgroup$
          – Dylan
          Jan 28 at 18:25




          $begingroup$
          This is called a delay differential equation. It's better to write it as $$ sum_{k=0}^n a_k f^{(k)}(x) = f(x+x_0) $$ You're free to look up different methods of solving it, or ask another question about it. I'm not going to answer it here, as it's now a completely different problem.
          $endgroup$
          – Dylan
          Jan 28 at 18:25


















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