Solution with boundary condition











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Suppose we have $A in Bbb{R}^{n times 1}, B in Bbb{R}^{n times 1}, Q in Bbb{R}^{n times n}, h in (0,1) $ and $x in Bbb{R}^{n times 1}$.



How to I solve the following equation for $x$, where each element of $x$ must be in $(0,1)$:



$ A = B + (1-h)Qx $



I don't know how to incorporate the condition on $x$ into my equation.










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  • 1




    If $Q$ is invertible, $x=(1-h)^{-1}Q^{-1}(A-B)$ is the unique solution, so you cannot really enforce $x_iin(0,1),forall i$.
    – Federico
    Dec 4 at 16:35










  • Is there a way to approximate it?
    – Quant Finance
    Dec 4 at 16:43










  • Yes, there are plenty of ways to compute it numerically. Search for algorithms to solve linear systems. My point is, if $Q$ happens to be invertible, then the solution is unique and you have no way to enforce the additional constraint on the $x_i$'s. Maybe you can tell us more about $A,B,Q,h$.
    – Federico
    Dec 4 at 16:47












  • It's an economic model where $Q$ is the adjacency matrix. I guess the problem is in my model setup. Thanks for your help!
    – Quant Finance
    Dec 4 at 16:50

















up vote
0
down vote

favorite












Suppose we have $A in Bbb{R}^{n times 1}, B in Bbb{R}^{n times 1}, Q in Bbb{R}^{n times n}, h in (0,1) $ and $x in Bbb{R}^{n times 1}$.



How to I solve the following equation for $x$, where each element of $x$ must be in $(0,1)$:



$ A = B + (1-h)Qx $



I don't know how to incorporate the condition on $x$ into my equation.










share|cite|improve this question


















  • 1




    If $Q$ is invertible, $x=(1-h)^{-1}Q^{-1}(A-B)$ is the unique solution, so you cannot really enforce $x_iin(0,1),forall i$.
    – Federico
    Dec 4 at 16:35










  • Is there a way to approximate it?
    – Quant Finance
    Dec 4 at 16:43










  • Yes, there are plenty of ways to compute it numerically. Search for algorithms to solve linear systems. My point is, if $Q$ happens to be invertible, then the solution is unique and you have no way to enforce the additional constraint on the $x_i$'s. Maybe you can tell us more about $A,B,Q,h$.
    – Federico
    Dec 4 at 16:47












  • It's an economic model where $Q$ is the adjacency matrix. I guess the problem is in my model setup. Thanks for your help!
    – Quant Finance
    Dec 4 at 16:50















up vote
0
down vote

favorite









up vote
0
down vote

favorite











Suppose we have $A in Bbb{R}^{n times 1}, B in Bbb{R}^{n times 1}, Q in Bbb{R}^{n times n}, h in (0,1) $ and $x in Bbb{R}^{n times 1}$.



How to I solve the following equation for $x$, where each element of $x$ must be in $(0,1)$:



$ A = B + (1-h)Qx $



I don't know how to incorporate the condition on $x$ into my equation.










share|cite|improve this question













Suppose we have $A in Bbb{R}^{n times 1}, B in Bbb{R}^{n times 1}, Q in Bbb{R}^{n times n}, h in (0,1) $ and $x in Bbb{R}^{n times 1}$.



How to I solve the following equation for $x$, where each element of $x$ must be in $(0,1)$:



$ A = B + (1-h)Qx $



I don't know how to incorporate the condition on $x$ into my equation.







linear-algebra






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Dec 4 at 16:33









Quant Finance

498




498








  • 1




    If $Q$ is invertible, $x=(1-h)^{-1}Q^{-1}(A-B)$ is the unique solution, so you cannot really enforce $x_iin(0,1),forall i$.
    – Federico
    Dec 4 at 16:35










  • Is there a way to approximate it?
    – Quant Finance
    Dec 4 at 16:43










  • Yes, there are plenty of ways to compute it numerically. Search for algorithms to solve linear systems. My point is, if $Q$ happens to be invertible, then the solution is unique and you have no way to enforce the additional constraint on the $x_i$'s. Maybe you can tell us more about $A,B,Q,h$.
    – Federico
    Dec 4 at 16:47












  • It's an economic model where $Q$ is the adjacency matrix. I guess the problem is in my model setup. Thanks for your help!
    – Quant Finance
    Dec 4 at 16:50
















  • 1




    If $Q$ is invertible, $x=(1-h)^{-1}Q^{-1}(A-B)$ is the unique solution, so you cannot really enforce $x_iin(0,1),forall i$.
    – Federico
    Dec 4 at 16:35










  • Is there a way to approximate it?
    – Quant Finance
    Dec 4 at 16:43










  • Yes, there are plenty of ways to compute it numerically. Search for algorithms to solve linear systems. My point is, if $Q$ happens to be invertible, then the solution is unique and you have no way to enforce the additional constraint on the $x_i$'s. Maybe you can tell us more about $A,B,Q,h$.
    – Federico
    Dec 4 at 16:47












  • It's an economic model where $Q$ is the adjacency matrix. I guess the problem is in my model setup. Thanks for your help!
    – Quant Finance
    Dec 4 at 16:50










1




1




If $Q$ is invertible, $x=(1-h)^{-1}Q^{-1}(A-B)$ is the unique solution, so you cannot really enforce $x_iin(0,1),forall i$.
– Federico
Dec 4 at 16:35




If $Q$ is invertible, $x=(1-h)^{-1}Q^{-1}(A-B)$ is the unique solution, so you cannot really enforce $x_iin(0,1),forall i$.
– Federico
Dec 4 at 16:35












Is there a way to approximate it?
– Quant Finance
Dec 4 at 16:43




Is there a way to approximate it?
– Quant Finance
Dec 4 at 16:43












Yes, there are plenty of ways to compute it numerically. Search for algorithms to solve linear systems. My point is, if $Q$ happens to be invertible, then the solution is unique and you have no way to enforce the additional constraint on the $x_i$'s. Maybe you can tell us more about $A,B,Q,h$.
– Federico
Dec 4 at 16:47






Yes, there are plenty of ways to compute it numerically. Search for algorithms to solve linear systems. My point is, if $Q$ happens to be invertible, then the solution is unique and you have no way to enforce the additional constraint on the $x_i$'s. Maybe you can tell us more about $A,B,Q,h$.
– Federico
Dec 4 at 16:47














It's an economic model where $Q$ is the adjacency matrix. I guess the problem is in my model setup. Thanks for your help!
– Quant Finance
Dec 4 at 16:50






It's an economic model where $Q$ is the adjacency matrix. I guess the problem is in my model setup. Thanks for your help!
– Quant Finance
Dec 4 at 16:50

















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