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Numerical integration of a magnetic spin vector in a magnetic field

  1. Aug 21, 2013 #1
    1. The problem statement, all variables and given/known data

    Hi there, thanks in advance for any help!

    I have a first order DE: [tex] \frac{\partial \vec{m}}{\partial t} = -\vec{m} \times \vec{h}_{eff} + \alpha \vec{m} \times \frac{\partial \vec{m}}{\partial t}[/tex] (a scaled Landau-Lifshitz-Gilbert equation)

    where m is a magnetism vector, alpha is a damping factor and h is an effective uniform magnetic field.

    I'm trying to numerically integrate it with the Euler method to get a precession of the spin vector around the h vector.

    So far I've integrated the first term but the second, damping term I can't see how to translate into code.. (in C++)

    So essentially what I've done is assumed the magnetic field to be aligned in the z-direction, and written
    Code (Text):
    for(i=1 ; i<=tmax ; i++) {

                        mx = mx + h * -my;
                        my = my + h *  mx;
                        t = t + h;
    for the first term, where mx is the x-component of the m vector etc. and h is the timestep, and I need to add the damping term onto the end.

    Considering the x-component first, presumably the derivative in the damping term has to be put down as m_x as well, but what direction is the other m vector to be taken in?

    Sorry if that's not very well asked, but thanks a lot for any help!
     
    Last edited: Aug 21, 2013
  2. jcsd
  3. Aug 21, 2013 #2

    TSny

    User Avatar
    Homework Helper
    Gold Member

    Hello, chaiyar.

    If you write out the DE for each component (x, y, z), you will get three equations that are linear in ##\dot{m_x}, \dot{m_y}, \dot{m_z}##, where the dot denotes time derivative.

    Algebraically solving these simultaneously for ##\dot{m_x}, \dot{m_y}, \dot{m_z}##, you can get equations of the form

    ##\dot{m_x} = f_1(m_x, m_y, m_z)##
    ##\dot{m_y} = f_2(m_x, m_y, m_z)##
    ##\dot{m_z} = f_3(m_x, m_y, m_z)##

    for certain functions ##f_1, f_2, f_3## .

    Then you can use these equations with the Euler method to step forward in time.
     
  4. Aug 22, 2013 #3
    Thanks for your help TSny, but I'm still a little lost.

    I end up with three equations of the form

    [tex]

    \dot{m}_x = f_1 (m_y,m_z,\dot{m}_y,\dot{m}_z) \\
    \dot{m}_y = f_2 (m_x,m_z,\dot{m}_x,\dot{m}_z) \\
    \dot{m}_z = f_3 (m_x,m_y,\dot{m}_x,\dot{m}_y) \\

    [/tex]

    but I don't see how to incorporate the time derivatives into the program.. Do I have to take the equations further to get rid of the derivatives by using Lagrange multipliers or something like that?

    Thanks again!
     
  5. Aug 22, 2013 #4
    You have three equations that are linear in ## \dot{m}_i ##, so you always can convert them to ## \dot{m}_i = f(...) ##, where the right hand side is independent of ## \dot{m}_i ##.
     
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