Linear approximation of Non linear system by Taylor series

In summary, the individual is trying to linearize a nonlinear equation using the Taylor series method. They have studied various notes and asked their teachers for help, but still do not understand how the solution was obtained. They provide two images with highlighted text showing the process of linearization and ask for someone to explain how equation 5.6 was obtained from equation 5.5b. The response explains the concept of linear approximation and provides the linearized form of the given function. The individual then thanks the responder and asks for clarification on how equation 5.6 was obtained.
  • #1
mac1
2
0
I have a equation which represents a nonlinear system.I need to linearize it to obtain a linear system.I have studied various notes and asked my teachers but they are unable to explain how the solution has been obtained.I have the solution but I want to know how it has been done.Please could someone explain it to me.

Image file eqn1- The highlighted text shows the simple way of linearisation using Taylor series.

View attachment 2166

Image file eqn2- The FIRST highlighted equation shows the equation to be linearized and the SECOND highlighted equation is the linearized form.

View attachment 2167

So,please help me to find the method by which eqn 5.6 has been obtained from eqn 5.5b.

Thanks.
 

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  • #2
First point: to get a linear approximation, you don't really need to know about "Taylor series". You just need to know that tangent line to y= f(x), at [tex]\left(\overline{x}, f(\overline{x})\right)[/tex] is given by [tex]y= f'(\overline{x})(x- \overline{x})+ f(\overline{x})[/tex].

In this particular case, [tex]y= f(x)= \frac{5.68x}{1+ 4.68x}[/tex], we can use the "quotient rule" to differentiate:
[tex]\frac{dy}{dx}= \frac{5.68(1+ 4.68x)- 5.68x(4.68)}{(1+ 4.68x)^2}[/tex]

The two "5.68(4.68x)" terms in the numerator cancel leaving
[tex]\frac{dy}{dx}= \frac{5.68}{(1+ 4.68x)^2}[/tex]
So the linear approximation to the function, at [tex]\overline{x}[/tex] is
[tex]y= \frac{5.68}{(1+ 4.68\overline{x})^2}(x- \overline{x})+ \frac{5.68\overline{x}}{1+ 4.68\overline{x}}[/tex]
 
  • #3
HallsofIvy said:
First point: to get a linear approximation, you don't really need to know about "Taylor series". You just need to know that tangent line to y= f(x), at [tex]\left(\overline{x}, f(\overline{x})\right)[/tex] is given by [tex]y= f'(\overline{x})(x- \overline{x})+ f(\overline{x})[/tex].

In this particular case, [tex]y= f(x)= \frac{5.68x}{1+ 4.68x}[/tex], we can use the "quotient rule" to differentiate:
[tex]\frac{dy}{dx}= \frac{5.68(1+ 4.68x)- 5.68x(4.68)}{(1+ 4.68x)^2}[/tex]

The two "5.68(4.68x)" terms in the numerator cancel leaving
[tex]\frac{dy}{dx}= \frac{5.68}{(1+ 4.68x)^2}[/tex]
So the linear approximation to the function, at [tex]\overline{x}[/tex] is
[tex]y= \frac{5.68}{(1+ 4.68\overline{x})^2}(x- \overline{x})+ \frac{5.68\overline{x}}{1+ 4.68\overline{x}}[/tex]
Thanks for the reply sir.I have understood how linearisation was done for the first equation 5.1.
But I want to know how eqn 5.6 was obtained from eqn 5.5b.I used the same concept and applied it to 5.5b but I am getting two terms more than the eqn 5.6 : 1/Mn(yn-1*Vn - ynVn). consider yn as yn bar.
 

FAQ: Linear approximation of Non linear system by Taylor series

What is the purpose of using Taylor series in linear approximation of non-linear systems?

Taylor series is a mathematical tool that allows us to approximate a non-linear function with a polynomial function. This is useful in linear approximation of non-linear systems as it simplifies complex systems into more manageable and solvable equations.

How does Taylor series help in finding the behavior of non-linear systems?

By using Taylor series, we can approximate the behavior of a non-linear system near a specific point, known as the point of expansion. This allows us to understand the dynamics of the system and make predictions about its behavior.

Can Taylor series accurately approximate any non-linear system?

No, Taylor series can only accurately approximate a non-linear system near a specific point of expansion. If the system has significant variation or non-linearity at that point, the Taylor series approximation may not be accurate.

How do we know when to stop the Taylor series approximation?

The accuracy of a Taylor series approximation depends on the number of terms used in the polynomial. Generally, the more terms we include, the more accurate the approximation will be. However, we can stop adding terms when the error between the Taylor series and the actual function is small enough for our purposes.

Can Taylor series be used to approximate non-linear systems in multiple dimensions?

Yes, Taylor series can be extended to multiple dimensions for approximating non-linear systems. This is known as multivariate Taylor series and involves using partial derivatives to approximate the non-linear function in each dimension.

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