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.
probability discrete-mathematics stochastic-processes dynamical-systems random-matrices
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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.
probability discrete-mathematics stochastic-processes dynamical-systems random-matrices
add a comment |Â
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.
probability discrete-mathematics stochastic-processes dynamical-systems random-matrices
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.
probability discrete-mathematics stochastic-processes dynamical-systems random-matrices
edited Aug 1 at 14:22
asked Aug 1 at 13:55
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