Polynomial approximation

In summary, we are tasked with obtaining the Taylor polynomials Tnf(x) for two problems. In problem one, Tn is equal to the sum of (log a)^k divided by k! times x to the power of k, where k goes from 0 to n. In problem two, Tn is equal to the sum of (-1)^k times x to the power of k, where k goes from 0 to n. To find these polynomials, we can use the Taylor series formula which states that the Taylor series for a function f(x) is the sum of f^(n)(0) divided by n! times x to the power of n, where n goes from 0 to infinity. For problem one
  • #1
Jimmy84
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0

Homework Statement


Obtain the Taylor polynomials Tnf(x) as indicated. In each case, it
is understood that f(x) is defined for a11 x for which f(x) is meaningful.


Problem one
Tn = (a^x) = sigma from k = 0 to n of ((log a)^k)/k! x^k

Problem two
Tn = (1/(1+x)) = sigma from k = o to n of (-1)^k x^k


Homework Equations





The Attempt at a Solution



Im totally lost and I don't know where to start can anyone help me please?
 
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  • #2
Did you really have to use "a11" when you have a perfectly good "l" key?

They Taylor series for function f(x) is [tex]\sum_{n=0}^\infty \frac{f^{(n)}(0)}{n!} x^n[/tex] where [itex]f^{(n)}(0)[/itex] indicates the nth derivative of f evaluated at 0.

(Actually, that is the "Taylor series at 0" or "MacLaurin" series.)

So for [itex]a^x[/itex] you only need to find the derivatives of [itex]a^x[/itex] and evaluate at x= 0. That can be done most efficiently by writing [itex]a^x= e^{ln a^x}= e^{x ln a}[/itex].

It is also true that any power series equal to a given function is a Taylor series. If you remember that the sum of the geometric series [itex]\sum_{n=0}^\infty r^n[/itex] is equal to 1/(1- r), then the Taylor series for 1/(1+x) should be obvious.
 

What is polynomial approximation?

Polynomial approximation is a mathematical method used to find an approximate solution to a problem by representing it as a polynomial function. It involves finding the best-fit polynomial curve that closely matches the given data points.

How is polynomial approximation used in science?

Polynomial approximation is used in various fields of science, such as physics, chemistry, and engineering, to approximate complex functions and make predictions. It is also commonly used in data analysis and modeling to simplify data and make it easier to interpret.

What are the advantages of using polynomial approximation?

One of the main advantages of polynomial approximation is that it allows for the simplification of complex functions, making them easier to analyze and understand. It also provides a good approximation of the true function, allowing for accurate predictions and calculations.

What are the limitations of polynomial approximation?

One limitation of polynomial approximation is that it can only approximate functions within a certain range. If the data points are too far from the fitted curve, the approximation may not be accurate. Additionally, polynomial approximation may not work well for functions with sharp turns or discontinuities.

How is polynomial approximation different from other approximation methods?

Unlike other approximation methods, such as linear or exponential, polynomial approximation can represent a wider variety of functions, including those with curves and bends. It also provides a more accurate fit for a given set of data points, making it a popular choice in scientific applications.

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