Dynamical (or Master) equation for remove-replace process

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My question concerns a special kind of dynamical process. The setup is the following: We are given a Matrix $xi_mu^i in mathbbR^MxN$ which is initially chosen randomly (with entries from $mathcalN(0,1)$). We are also given a vector $p_i in mathbbR^N$, initialised randomly.



The process I am studying is the following: I compute the dot product $vecxi_mu cdot vecp$ and check whether



beginequation
vecxi_mu cdot vecp geq sigma qquad forall mu,
endequation



with $sigma in mathbbR$.



If the condition is not satisfied for the $mu$th vector $vecxi_mu$, I remove this vector and replace it with a new vector chosen randomly from the distribution $mathcalN (0,1)$



This process is what I call "remove and replace". I would like to know whether this dynamical process can be modeled by some kind of master equation (or any other stochastic differential equation) or not. What I am interested in is to understand how long-time limit (understood as performing this remove and replace procedure for a large number of times) depends on $sigma$.



I am not an expert on stochastic processes or master equations. So any help/pointers/criticisms are welcome. Thank you.







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    up vote
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    down vote

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    My question concerns a special kind of dynamical process. The setup is the following: We are given a Matrix $xi_mu^i in mathbbR^MxN$ which is initially chosen randomly (with entries from $mathcalN(0,1)$). We are also given a vector $p_i in mathbbR^N$, initialised randomly.



    The process I am studying is the following: I compute the dot product $vecxi_mu cdot vecp$ and check whether



    beginequation
    vecxi_mu cdot vecp geq sigma qquad forall mu,
    endequation



    with $sigma in mathbbR$.



    If the condition is not satisfied for the $mu$th vector $vecxi_mu$, I remove this vector and replace it with a new vector chosen randomly from the distribution $mathcalN (0,1)$



    This process is what I call "remove and replace". I would like to know whether this dynamical process can be modeled by some kind of master equation (or any other stochastic differential equation) or not. What I am interested in is to understand how long-time limit (understood as performing this remove and replace procedure for a large number of times) depends on $sigma$.



    I am not an expert on stochastic processes or master equations. So any help/pointers/criticisms are welcome. Thank you.







    share|cite|improve this question























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      My question concerns a special kind of dynamical process. The setup is the following: We are given a Matrix $xi_mu^i in mathbbR^MxN$ which is initially chosen randomly (with entries from $mathcalN(0,1)$). We are also given a vector $p_i in mathbbR^N$, initialised randomly.



      The process I am studying is the following: I compute the dot product $vecxi_mu cdot vecp$ and check whether



      beginequation
      vecxi_mu cdot vecp geq sigma qquad forall mu,
      endequation



      with $sigma in mathbbR$.



      If the condition is not satisfied for the $mu$th vector $vecxi_mu$, I remove this vector and replace it with a new vector chosen randomly from the distribution $mathcalN (0,1)$



      This process is what I call "remove and replace". I would like to know whether this dynamical process can be modeled by some kind of master equation (or any other stochastic differential equation) or not. What I am interested in is to understand how long-time limit (understood as performing this remove and replace procedure for a large number of times) depends on $sigma$.



      I am not an expert on stochastic processes or master equations. So any help/pointers/criticisms are welcome. Thank you.







      share|cite|improve this question













      My question concerns a special kind of dynamical process. The setup is the following: We are given a Matrix $xi_mu^i in mathbbR^MxN$ which is initially chosen randomly (with entries from $mathcalN(0,1)$). We are also given a vector $p_i in mathbbR^N$, initialised randomly.



      The process I am studying is the following: I compute the dot product $vecxi_mu cdot vecp$ and check whether



      beginequation
      vecxi_mu cdot vecp geq sigma qquad forall mu,
      endequation



      with $sigma in mathbbR$.



      If the condition is not satisfied for the $mu$th vector $vecxi_mu$, I remove this vector and replace it with a new vector chosen randomly from the distribution $mathcalN (0,1)$



      This process is what I call "remove and replace". I would like to know whether this dynamical process can be modeled by some kind of master equation (or any other stochastic differential equation) or not. What I am interested in is to understand how long-time limit (understood as performing this remove and replace procedure for a large number of times) depends on $sigma$.



      I am not an expert on stochastic processes or master equations. So any help/pointers/criticisms are welcome. Thank you.









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      share|cite|improve this question




      share|cite|improve this question








      edited Aug 1 at 14:22
























      asked Aug 1 at 13:55









      bfg

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