Taylor Polynomial Approximation

In summary, Taylor Polynomial Approximation is a mathematical method used to approximate functions with simpler polynomial functions using the Taylor series. It is useful for calculating values of functions and understanding their behavior near a specific point. It is calculated by taking derivatives of a function and constructing a polynomial function, with more derivatives leading to a more accurate approximation. The main difference between Taylor Polynomial Approximation and Taylor Series is that the former uses a finite number of derivatives while the latter uses an infinite number. Taylor Polynomial Approximation is used in various real-world applications such as physics, engineering, economics, and statistics to approximate difficult functions and make predictions and data analysis easier.
  • #1
y_lindsay
17
0
How to find a polynomial P(x) of the smallest degree such that sin(x-x^2)=P(x)+o(x) as x->0?
Do I have to calculate the first six derivatives of f(x)=sin(x-x^2) to get Taylor polynomial approximation?
 
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  • #2
If you know the Taylor series expansion for sin(x) you don't need to calculate any derivatives at all. Just replace x in the expansion with x- x2.

[itex]sin(x)= x- x^3/6+ x^5/5!+ \cdot\cdot\cdot [/itex].
[itex]sin(x-x^2)= (x-x^2)- (x-x^2)^3+ (x-x^2)^5/5!+ \cdot\cdot\cdot[/itex]
 
  • #3


The Taylor polynomial approximation is a method used to approximate a function using a polynomial of a specific degree. In this case, we are trying to find a polynomial P(x) that will give us a close approximation to the function sin(x-x^2) as x approaches 0.

To find the polynomial P(x), we can use the Taylor series expansion of the function sin(x-x^2) at x=0. The Taylor series expansion is given by:

sin(x-x^2) = sin(0) + cos(0)(x-x^2) - sin(0)(x-x^2)^2/2! + cos(0)(x-x^2)^3/3! - sin(0)(x-x^2)^4/4! + ...

= x - x^3/2 + x^5/24 - x^7/720 + ...

= x - x^3/2 + o(x)

We can see that the polynomial P(x) of degree 1, given by x, is the closest approximation to sin(x-x^2) as x approaches 0. This is because the remainder term o(x) becomes smaller and smaller as x approaches 0.

Therefore, the polynomial P(x) of the smallest degree that satisfies sin(x-x^2)=P(x)+o(x) as x->0 is P(x) = x.

To answer your question, no, you do not need to calculate the first six derivatives of f(x)=sin(x-x^2) to find the Taylor polynomial approximation. However, if you want a more accurate approximation, you can calculate more terms in the Taylor series expansion. But in this case, the first term itself is sufficient for a good approximation.
 

What is Taylor Polynomial Approximation?

Taylor Polynomial Approximation is a mathematical method used to approximate a function with a polynomial. It is based on the Taylor series, which is an infinite sum of derivatives of a function at a specific point.

Why is Taylor Polynomial Approximation useful?

Taylor Polynomial Approximation is useful because it allows us to approximate complicated functions with simpler polynomial functions. This makes it easier to calculate values of the function and also helps in understanding the behavior of the function near a specific point.

How is Taylor Polynomial Approximation calculated?

Taylor Polynomial Approximation is calculated by taking the derivatives of a function at a specific point and using them to construct a polynomial function. The more derivatives we use, the more accurate the approximation will be.

What is the difference between Taylor Polynomial Approximation and Taylor Series?

The main difference between Taylor Polynomial Approximation and Taylor Series is that Taylor Polynomial Approximation uses a finite number of derivatives, while Taylor Series uses an infinite number of derivatives. This means that Taylor Polynomial Approximation will only be an approximation of the function, while Taylor Series will give the exact value of the function at a specific point.

In what real-world applications is Taylor Polynomial Approximation used?

Taylor Polynomial Approximation is used in many real-world applications, such as physics, engineering, economics, and statistics. It is used to approximate functions that are difficult to calculate or understand, and it helps in making predictions and analyzing data.

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