Linear approximation of non-linear equation.












0












$begingroup$


I am trying to understand what it means to make a linear approximation but will get more specific in a minutes. First, some context.



The problem I am working on is more of a physics but the question I have is a purely mathematical one (I think). I am trying to derive the linear equations of motion of a system. It is a 2 DOF, so two equations. I came up with:
$$
I_x*ddot{q_x} + K_1*q_x = -r*F_1*sin(q_x)+r*F_2*cos(q_y)
$$

and
$$
I_y*ddot{q_y} + K_2*q_y = -r*F_1*cos(q_x)-r*F_2*cos(q_y)
$$

From above, there are two variables, $q_x$ and $q_y$. You can ignore all other letters since I want to focus on the trigonometric parts, on the right side. The problem is that there are two non-linear elements, the cos(q) and the sin(q).



I have two questions now:





Question 1:
For the specific example (assuming that the equations are correct), the linear approximation of this system would be to use Taylor series, and as a result say $cos(q)=1$ and $sin(q)=q$ ? I have seens that many times, when using Taylor, for the first one, they would right $cos(q)=1-frac{q^2}{q!}$ because it is a better aproximation. But that is non-linear so it will not do for what I want to do, correct?





Question 2:
This is a more general question about linearization. I have heard some times, in the context of engineering, something along the lines of "this system is to non-linear for us to use a linear version of it". I especially remember that being said when having ln(). Does this basically mean that there is not good linear (Taylor) approximation for the system that would be useful?










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$endgroup$








  • 1




    $begingroup$
    It only makes sense, in general, to linearise about some trajectory (typically a stable equilibrium point).
    $endgroup$
    – copper.hat
    Jan 9 at 19:18








  • 1




    $begingroup$
    The answer is part physics. The well known linear equation for a pendulum works well when the amplitude of the swing is small. If it is large then the linear equation is not so good.
    $endgroup$
    – user121049
    Jan 9 at 19:35
















0












$begingroup$


I am trying to understand what it means to make a linear approximation but will get more specific in a minutes. First, some context.



The problem I am working on is more of a physics but the question I have is a purely mathematical one (I think). I am trying to derive the linear equations of motion of a system. It is a 2 DOF, so two equations. I came up with:
$$
I_x*ddot{q_x} + K_1*q_x = -r*F_1*sin(q_x)+r*F_2*cos(q_y)
$$

and
$$
I_y*ddot{q_y} + K_2*q_y = -r*F_1*cos(q_x)-r*F_2*cos(q_y)
$$

From above, there are two variables, $q_x$ and $q_y$. You can ignore all other letters since I want to focus on the trigonometric parts, on the right side. The problem is that there are two non-linear elements, the cos(q) and the sin(q).



I have two questions now:





Question 1:
For the specific example (assuming that the equations are correct), the linear approximation of this system would be to use Taylor series, and as a result say $cos(q)=1$ and $sin(q)=q$ ? I have seens that many times, when using Taylor, for the first one, they would right $cos(q)=1-frac{q^2}{q!}$ because it is a better aproximation. But that is non-linear so it will not do for what I want to do, correct?





Question 2:
This is a more general question about linearization. I have heard some times, in the context of engineering, something along the lines of "this system is to non-linear for us to use a linear version of it". I especially remember that being said when having ln(). Does this basically mean that there is not good linear (Taylor) approximation for the system that would be useful?










share|cite|improve this question









$endgroup$








  • 1




    $begingroup$
    It only makes sense, in general, to linearise about some trajectory (typically a stable equilibrium point).
    $endgroup$
    – copper.hat
    Jan 9 at 19:18








  • 1




    $begingroup$
    The answer is part physics. The well known linear equation for a pendulum works well when the amplitude of the swing is small. If it is large then the linear equation is not so good.
    $endgroup$
    – user121049
    Jan 9 at 19:35














0












0








0





$begingroup$


I am trying to understand what it means to make a linear approximation but will get more specific in a minutes. First, some context.



The problem I am working on is more of a physics but the question I have is a purely mathematical one (I think). I am trying to derive the linear equations of motion of a system. It is a 2 DOF, so two equations. I came up with:
$$
I_x*ddot{q_x} + K_1*q_x = -r*F_1*sin(q_x)+r*F_2*cos(q_y)
$$

and
$$
I_y*ddot{q_y} + K_2*q_y = -r*F_1*cos(q_x)-r*F_2*cos(q_y)
$$

From above, there are two variables, $q_x$ and $q_y$. You can ignore all other letters since I want to focus on the trigonometric parts, on the right side. The problem is that there are two non-linear elements, the cos(q) and the sin(q).



I have two questions now:





Question 1:
For the specific example (assuming that the equations are correct), the linear approximation of this system would be to use Taylor series, and as a result say $cos(q)=1$ and $sin(q)=q$ ? I have seens that many times, when using Taylor, for the first one, they would right $cos(q)=1-frac{q^2}{q!}$ because it is a better aproximation. But that is non-linear so it will not do for what I want to do, correct?





Question 2:
This is a more general question about linearization. I have heard some times, in the context of engineering, something along the lines of "this system is to non-linear for us to use a linear version of it". I especially remember that being said when having ln(). Does this basically mean that there is not good linear (Taylor) approximation for the system that would be useful?










share|cite|improve this question









$endgroup$




I am trying to understand what it means to make a linear approximation but will get more specific in a minutes. First, some context.



The problem I am working on is more of a physics but the question I have is a purely mathematical one (I think). I am trying to derive the linear equations of motion of a system. It is a 2 DOF, so two equations. I came up with:
$$
I_x*ddot{q_x} + K_1*q_x = -r*F_1*sin(q_x)+r*F_2*cos(q_y)
$$

and
$$
I_y*ddot{q_y} + K_2*q_y = -r*F_1*cos(q_x)-r*F_2*cos(q_y)
$$

From above, there are two variables, $q_x$ and $q_y$. You can ignore all other letters since I want to focus on the trigonometric parts, on the right side. The problem is that there are two non-linear elements, the cos(q) and the sin(q).



I have two questions now:





Question 1:
For the specific example (assuming that the equations are correct), the linear approximation of this system would be to use Taylor series, and as a result say $cos(q)=1$ and $sin(q)=q$ ? I have seens that many times, when using Taylor, for the first one, they would right $cos(q)=1-frac{q^2}{q!}$ because it is a better aproximation. But that is non-linear so it will not do for what I want to do, correct?





Question 2:
This is a more general question about linearization. I have heard some times, in the context of engineering, something along the lines of "this system is to non-linear for us to use a linear version of it". I especially remember that being said when having ln(). Does this basically mean that there is not good linear (Taylor) approximation for the system that would be useful?







ordinary-differential-equations taylor-expansion systems-of-equations dynamical-systems nonlinear-system






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share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Jan 9 at 19:13









Dimitris PantelisDimitris Pantelis

387




387








  • 1




    $begingroup$
    It only makes sense, in general, to linearise about some trajectory (typically a stable equilibrium point).
    $endgroup$
    – copper.hat
    Jan 9 at 19:18








  • 1




    $begingroup$
    The answer is part physics. The well known linear equation for a pendulum works well when the amplitude of the swing is small. If it is large then the linear equation is not so good.
    $endgroup$
    – user121049
    Jan 9 at 19:35














  • 1




    $begingroup$
    It only makes sense, in general, to linearise about some trajectory (typically a stable equilibrium point).
    $endgroup$
    – copper.hat
    Jan 9 at 19:18








  • 1




    $begingroup$
    The answer is part physics. The well known linear equation for a pendulum works well when the amplitude of the swing is small. If it is large then the linear equation is not so good.
    $endgroup$
    – user121049
    Jan 9 at 19:35








1




1




$begingroup$
It only makes sense, in general, to linearise about some trajectory (typically a stable equilibrium point).
$endgroup$
– copper.hat
Jan 9 at 19:18






$begingroup$
It only makes sense, in general, to linearise about some trajectory (typically a stable equilibrium point).
$endgroup$
– copper.hat
Jan 9 at 19:18






1




1




$begingroup$
The answer is part physics. The well known linear equation for a pendulum works well when the amplitude of the swing is small. If it is large then the linear equation is not so good.
$endgroup$
– user121049
Jan 9 at 19:35




$begingroup$
The answer is part physics. The well known linear equation for a pendulum works well when the amplitude of the swing is small. If it is large then the linear equation is not so good.
$endgroup$
– user121049
Jan 9 at 19:35










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