Third degree Taylor polynomial in two variables

In summary, the student is trying to find the third degree Taylor polynomial about the origin of f(x,y). They found that 1 - xy + x^2y^2 - x^3y^3 = 1 - xy.
  • #1
5hassay
82
0

Homework Statement



Find the third degree Taylor polynomial about the origin of

[itex]f(x,y) = \frac{\cos(x)}{1+xy}[/itex]

Homework Equations



The Attempt at a Solution



From my ventures on the Internet, this is my attempt:

I see that

[itex]\cos(x) = 1 - \frac{1}{2}x^2 + \frac{1}{4!}x^4 - \cdots[/itex]

[itex]\frac{1}{1+x} = 1 - x + x^2 - x^3 + \cdots[/itex]

and so

[itex]\frac{1}{1+(xy)} = 1 - xy + x^2y^2 - x^3y^3 + \cdots[/itex]

Therefore, in multiplying them out,

[itex]f(x,y) = \frac{\cos(x)}{1+xy} = 1 - xy + x^2y^2 - x^3y^3 - x + x^2y - x^3y^2 + \cdots[/itex]

And I suppose that would be my answer.

Do I have the right idea?

Thanks in advance.

EDIT: Oops! I didn't substitute [itex](x,y) = (0,0)[/itex]. So, in doing that, I should get precisely [itex]1[/itex]. That is my answer.

EDIT: But [itex]1[/itex] doesn't seem right...

EDIT: I think I am getting confused. Pretty sure the product above would be the answer, D=
 
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  • #2
Okay so, first things first, recall the taylor series of cos(x) around a = 0 ( Aka the maclaurin series ). As well as the one for your other fraction there which I believe you've already done.

Now you want at most a polynomial of degree three, correct? So take all your terms from both series which are polynomials of degree three or less, so for example for cosx you would choose :

[itex]1 - \frac{1}{2} x^2[/itex]

Now do the same for your other series and multiply the two resulting equations together. What do you get?
 
  • #3
Zondrina said:
Okay so, first things first, recall the taylor series of cos(x) around a = 0 ( Aka the maclaurin series ). As well as the one for your other fraction there which I believe you've already done.

Now you want at most a polynomial of degree three, correct? So take all your terms from both series which are polynomials of degree three or less, so for example for cosx you would choose :

[itex]1 - \frac{1}{2} x^2[/itex]

Now do the same for your other series and multiply the two resulting equations together. What do you get?

Thanks for the reply, Zondrina.

Ohhh, so that is what is meant by "[itex]n[/itex]-th degree!"

Alright, then I would have

[itex]f(x,y) = (1 - \frac{1}{2}x^2) (1 - xy + x^2y^2 - x^3y^3)[/itex]

so

[itex]f(x,y) = 1 - xy + x^2y^2 -x^3y^3 - \frac{1}{2}x^2 + \frac{1}{2}x^3y - \frac{1}{2}x^4y^2 + \frac{1}{2}x^5y^3[/itex]

However, as you said, I only want degree three or less, so I suppose I should eliminate all terms consisting of variables of degree greater than three, getting

[itex]f(x,y) = 1 - xy + x^2y^2 -x^3y^3 - \frac{1}{2}x^2 + \frac{1}{2}x^3y[/itex]

And, this would be my answer?
 
  • #4
5hassay said:
Thanks for the reply, Zondrina.

Ohhh, so that is what is meant by "[itex]n[/itex]-th degree!"

Alright, then I would have

[itex]f(x,y) = (1 - \frac{1}{2}x^2) (1 - xy + x^2y^2 - x^3y^3)[/itex]

so

[itex]f(x,y) = 1 - xy + x^2y^2 -x^3y^3 - \frac{1}{2}x^2 + \frac{1}{2}x^3y - \frac{1}{2}x^4y^2 + \frac{1}{2}x^5y^3[/itex]

However, as you said, I only want degree three or less, so I suppose I should eliminate all terms consisting of variables of degree greater than three, getting

[itex]f(x,y) = 1 - xy + x^2y^2 -x^3y^3 - \frac{1}{2}x^2 + \frac{1}{2}x^3y[/itex]

And, this would be my answer?
You are still mis-understanding what "nth degree" meas. [itex]x^2y^2[/itex] is of degree 4 and [itex]x^3y^3[/itex] is of degree 6.
 
  • #5
HallsofIvy said:
You are still mis-understanding what "nth degree" meas. [itex]x^2y^2[/itex] is of degree 4 and [itex]x^3y^3[/itex] is of degree 6.


Thanks for the reply, HallsofIvy.

Oh dear, I see. Hopefully this will be my last change of answer:

[itex]f(x,y) = (1 - \frac{1}{2}x^2) (1 - xy) = 1 - xy - \frac{1}{2}x^2[/itex]

Do I now have the correct idea? D=
 

FAQ: Third degree Taylor polynomial in two variables

What is a third degree Taylor polynomial in two variables?

A third degree Taylor polynomial in two variables is a mathematical approximation of a function that uses a third degree polynomial to represent the function's behavior at a specific point in two-dimensional space. It is part of the Taylor series, which is a way of representing a function as an infinite sum of polynomials.

How is a third degree Taylor polynomial in two variables calculated?

The third degree Taylor polynomial in two variables is calculated by taking the function's values and its partial derivatives at a specific point and using them to create a polynomial equation. The terms of the polynomial are determined by the coefficients of the partial derivatives, and the coefficients are determined by the values of the function at the specific point.

What is the purpose of using a third degree Taylor polynomial in two variables?

The purpose of using a third degree Taylor polynomial in two variables is to approximate the behavior of a function at a specific point. It can be used to estimate the value of the function at nearby points, or to find the maximum or minimum values of the function in a given interval. It is also useful in optimization problems and in studying the local behavior of a function.

How accurate is a third degree Taylor polynomial in two variables?

The accuracy of a third degree Taylor polynomial in two variables depends on the function and the point at which it is being approximated. Generally, the higher the degree of the polynomial, the more accurate the approximation will be. However, it is important to note that a Taylor polynomial is only an approximation and will not perfectly match the function's behavior at all points.

Can a third degree Taylor polynomial in two variables be used for all functions?

No, a third degree Taylor polynomial in two variables can only be used for functions that are smooth and can be represented as an infinite sum of polynomials. Functions that have discontinuities or infinite discontinuities cannot be approximated by a Taylor polynomial. Additionally, the Taylor polynomial may not accurately represent the behavior of a function with rapidly changing behavior or at points far from the point of approximation.

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