Can behaviour of subsystem of a coupled system be analyzed using the partial Jacobian?

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Consider the following coupled dynamical system,



$$dot x = f(x,y)$$
$$dot y = h(x,y)$$



For example, $dot x$ could be the dynamics of the lung, $dot y$ could be the dynamics of the heart.



Suppose we assign state $z_1 = x$, $z_2 = y$, then we have a new system given by $dot z = [dot z_1, dot z_2]^T = [dot x, dot y]^T = mathbff$.



Linearizing this system, yields the Jacobian matrix:



$$J[mathbff] = beginbmatrix dfracpartial fpartial x & dfracpartial fpartial y \ dfracpartial hpartial x & dfracpartial hpartial y endbmatrix$$



Normally, in order to analyze the behaviour system around an equilibrium point, we solve the Jacobian around an equilibrium point $(bar x, bar y)$, then we find the eigenvalues associated with the Jacobian, and deduce the behaviour of the nonlinear system in a local neighborhood of that equilibrium point.



However, let's say, I am only interested in the dynamics of the lung, i.e., $dot x$ and I know the point $(bar x, bar y)$ which I want to linearize around.



It is possible to understand the convergence behaviour of the solution of $dot x = f(x,y)$ only by looking at $dfracpartial fpartial x|_(bar x, bar y)$ alone? Suppose that $dfracpartial fpartial x|_(bar x, bar y) = -1$, then can we say that $x(t)$ will converge towards the equilibrium point $bar x$ in a small neighborhood around $bar x$?



In other words: can we analyze a subsystem of a coupled system by only looking at the sub-matrix of the Jacobian, and not the entire Jacobian?




Note: this is trivially true if the system is decoupled, e.g.,



$$dot x= - x$$ $$dot y = y$$



I guess a refinement of the question would be, what types of coupled system can we recover this result for decoupled system? When does the coupling terms not matter in the overall analysis? Or, can the coupling be "weak" enough that do not affect the result provided using linearization?







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    Consider the following coupled dynamical system,



    $$dot x = f(x,y)$$
    $$dot y = h(x,y)$$



    For example, $dot x$ could be the dynamics of the lung, $dot y$ could be the dynamics of the heart.



    Suppose we assign state $z_1 = x$, $z_2 = y$, then we have a new system given by $dot z = [dot z_1, dot z_2]^T = [dot x, dot y]^T = mathbff$.



    Linearizing this system, yields the Jacobian matrix:



    $$J[mathbff] = beginbmatrix dfracpartial fpartial x & dfracpartial fpartial y \ dfracpartial hpartial x & dfracpartial hpartial y endbmatrix$$



    Normally, in order to analyze the behaviour system around an equilibrium point, we solve the Jacobian around an equilibrium point $(bar x, bar y)$, then we find the eigenvalues associated with the Jacobian, and deduce the behaviour of the nonlinear system in a local neighborhood of that equilibrium point.



    However, let's say, I am only interested in the dynamics of the lung, i.e., $dot x$ and I know the point $(bar x, bar y)$ which I want to linearize around.



    It is possible to understand the convergence behaviour of the solution of $dot x = f(x,y)$ only by looking at $dfracpartial fpartial x|_(bar x, bar y)$ alone? Suppose that $dfracpartial fpartial x|_(bar x, bar y) = -1$, then can we say that $x(t)$ will converge towards the equilibrium point $bar x$ in a small neighborhood around $bar x$?



    In other words: can we analyze a subsystem of a coupled system by only looking at the sub-matrix of the Jacobian, and not the entire Jacobian?




    Note: this is trivially true if the system is decoupled, e.g.,



    $$dot x= - x$$ $$dot y = y$$



    I guess a refinement of the question would be, what types of coupled system can we recover this result for decoupled system? When does the coupling terms not matter in the overall analysis? Or, can the coupling be "weak" enough that do not affect the result provided using linearization?







    share|cite|improve this question























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      Consider the following coupled dynamical system,



      $$dot x = f(x,y)$$
      $$dot y = h(x,y)$$



      For example, $dot x$ could be the dynamics of the lung, $dot y$ could be the dynamics of the heart.



      Suppose we assign state $z_1 = x$, $z_2 = y$, then we have a new system given by $dot z = [dot z_1, dot z_2]^T = [dot x, dot y]^T = mathbff$.



      Linearizing this system, yields the Jacobian matrix:



      $$J[mathbff] = beginbmatrix dfracpartial fpartial x & dfracpartial fpartial y \ dfracpartial hpartial x & dfracpartial hpartial y endbmatrix$$



      Normally, in order to analyze the behaviour system around an equilibrium point, we solve the Jacobian around an equilibrium point $(bar x, bar y)$, then we find the eigenvalues associated with the Jacobian, and deduce the behaviour of the nonlinear system in a local neighborhood of that equilibrium point.



      However, let's say, I am only interested in the dynamics of the lung, i.e., $dot x$ and I know the point $(bar x, bar y)$ which I want to linearize around.



      It is possible to understand the convergence behaviour of the solution of $dot x = f(x,y)$ only by looking at $dfracpartial fpartial x|_(bar x, bar y)$ alone? Suppose that $dfracpartial fpartial x|_(bar x, bar y) = -1$, then can we say that $x(t)$ will converge towards the equilibrium point $bar x$ in a small neighborhood around $bar x$?



      In other words: can we analyze a subsystem of a coupled system by only looking at the sub-matrix of the Jacobian, and not the entire Jacobian?




      Note: this is trivially true if the system is decoupled, e.g.,



      $$dot x= - x$$ $$dot y = y$$



      I guess a refinement of the question would be, what types of coupled system can we recover this result for decoupled system? When does the coupling terms not matter in the overall analysis? Or, can the coupling be "weak" enough that do not affect the result provided using linearization?







      share|cite|improve this question













      Consider the following coupled dynamical system,



      $$dot x = f(x,y)$$
      $$dot y = h(x,y)$$



      For example, $dot x$ could be the dynamics of the lung, $dot y$ could be the dynamics of the heart.



      Suppose we assign state $z_1 = x$, $z_2 = y$, then we have a new system given by $dot z = [dot z_1, dot z_2]^T = [dot x, dot y]^T = mathbff$.



      Linearizing this system, yields the Jacobian matrix:



      $$J[mathbff] = beginbmatrix dfracpartial fpartial x & dfracpartial fpartial y \ dfracpartial hpartial x & dfracpartial hpartial y endbmatrix$$



      Normally, in order to analyze the behaviour system around an equilibrium point, we solve the Jacobian around an equilibrium point $(bar x, bar y)$, then we find the eigenvalues associated with the Jacobian, and deduce the behaviour of the nonlinear system in a local neighborhood of that equilibrium point.



      However, let's say, I am only interested in the dynamics of the lung, i.e., $dot x$ and I know the point $(bar x, bar y)$ which I want to linearize around.



      It is possible to understand the convergence behaviour of the solution of $dot x = f(x,y)$ only by looking at $dfracpartial fpartial x|_(bar x, bar y)$ alone? Suppose that $dfracpartial fpartial x|_(bar x, bar y) = -1$, then can we say that $x(t)$ will converge towards the equilibrium point $bar x$ in a small neighborhood around $bar x$?



      In other words: can we analyze a subsystem of a coupled system by only looking at the sub-matrix of the Jacobian, and not the entire Jacobian?




      Note: this is trivially true if the system is decoupled, e.g.,



      $$dot x= - x$$ $$dot y = y$$



      I guess a refinement of the question would be, what types of coupled system can we recover this result for decoupled system? When does the coupling terms not matter in the overall analysis? Or, can the coupling be "weak" enough that do not affect the result provided using linearization?









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      edited Jul 21 at 21:56
























      asked Jul 21 at 21:27









      Enlightened One

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          What you are really asking is this. Is there a relationship between a diagonal entry of a matrix, and the eigenvalues of the matrix. Unless the matrix is upper or lower triangular, the answer is generally "no."






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            up vote
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            What you are really asking is this. Is there a relationship between a diagonal entry of a matrix, and the eigenvalues of the matrix. Unless the matrix is upper or lower triangular, the answer is generally "no."






            share|cite|improve this answer

























              up vote
              0
              down vote













              What you are really asking is this. Is there a relationship between a diagonal entry of a matrix, and the eigenvalues of the matrix. Unless the matrix is upper or lower triangular, the answer is generally "no."






              share|cite|improve this answer























                up vote
                0
                down vote










                up vote
                0
                down vote









                What you are really asking is this. Is there a relationship between a diagonal entry of a matrix, and the eigenvalues of the matrix. Unless the matrix is upper or lower triangular, the answer is generally "no."






                share|cite|improve this answer













                What you are really asking is this. Is there a relationship between a diagonal entry of a matrix, and the eigenvalues of the matrix. Unless the matrix is upper or lower triangular, the answer is generally "no."







                share|cite|improve this answer













                share|cite|improve this answer



                share|cite|improve this answer











                answered Jul 22 at 0:04









                Stephen Montgomery-Smith

                17.4k12047




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