Hot Posts

3/recent/ticker-posts

Taylor Series and it's C++ Code

 

The Taylor series is a mathematical method used to represent functions as infinite series of terms involving derivatives of the function evaluated at a specific point. It provides a way to approximate complex functions using a series of polynomial terms.


Basic Principle:


The Taylor series expansion of a function ( f(x) ) around a point ( a ) is given by:


[ f(x) = f(a) + f'(a)(x-a) + frac{f''(a)}{2!}(x-a)^2 + frac{f'''(a)}{3!}(x-a)^3 + ... ]


The general form of the Taylor series expansion for a function ( f(x) ) around the point ( a ) is:


[ f(x) = sum_{n=0}^{infinity} {f^{(n)}(a)}/{n!}(x-a)^n ]


 Steps in Taylor Series Expansion:


1. Select a Center Point ( a ):

   - Determine the point around which you want to expand the function.


2. Calculate Derivatives:

   - Compute the derivatives of the function ( f(x) ) up to the required order at the center point ( a ).


3. Express as Infinite Series:

   - Use the derivatives to construct an infinite series involving powers of ( (x-a) ).


4. Approximate the Function:

   - Use a finite number of terms from the series to approximate the function ( f(x) ).


Advantages and Limitations:


- Advantages:

  - Versatility: Allows approximation of a wide range of functions.

  - Precision: Higher accuracy with more terms included in the series.


- Limitations:

  - Convergence: May not converge for some functions or diverge outside a specific range.

  - Complexity: Computationally expensive for functions with numerous higher-order derivatives.


C++ Code for Taylor Series Expansion:


```cpp

#include <iostream>

#include <cmath>

using namespace std;


Function to approximate using Taylor series: sin(x)

double function(double x) {

    return sin(x); // Change this function to approximate a different function

}


Taylor series expansion around the point 'a' for 'n' terms

double taylorSeries(double a, double x, int n) {

    double sum = 0.0;

    double power = 1.0;

    

    for (int i = 0; i < n; ++i) {

        sum += power * function(a) / tgamma(i + 1);

        power *= (x - a);

        a = a + 1.0; // Change this for a different center point

    }

    

    return sum;

}


int main() {

    double a = 0.0; // Center point for Taylor series expansion

    double x = 1.0; // Value at which to approximate the function

    int n = 5; // Number of terms in the Taylor series expansion


    cout << "Approximation using Taylor series: " << taylorSeries(a, x, n) << endl;


    return 0;

}


Explanation:


- `function()` Function:

  - Represents the function to be approximated using the Taylor series expansion. Modify this function to approximate a different function.


- `taylorSeries()` Function:

  - Implements the Taylor series expansion around a given center point.

  - Computes the series terms up to 'n' and approximates the function value at point 'x'.


- `main()` Function:

  - Sets the center point 'a', the value 'x' for which the function is approximated, and the number of terms 'n' in the Taylor series expansion.

  - Calls the `taylorSeries()` function to approximate the function and displays the result.


Example:


The provided code demonstrates the Taylor series expansion to approximate the value of ( sin(x) ) at ( x = 1 ) using 5 terms of the Taylor series centered at ( a = 0 ). Adjust the function, center point, target value, and the number of terms for different functions and approximations. Increasing the number of terms generally improves the accuracy of the approximation.


Post a Comment

0 Comments