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Taylor Polynomial Calculator

Generate Taylor polynomial approximations for common functions. Choose a function, center point, and degree to see the polynomial expansion with all coefficients.

Enter Values

The point around which to expand. Use 0 for Maclaurin series.

112

Number of terms (1-12)

Result

Enter values above and click Calculate to see your result.

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Formula

P_n(x) = sum from k=0 to n of [f^(k)(a)/k!] * (x - a)^k

The Taylor polynomial of degree n approximates f(x) near a center point a using the function's derivatives at that point. Each term divides the k-th derivative by k factorial, multiplied by (x - a)^k.

Worked Example

Taylor polynomial of e^x at a = 0, degree 4: All derivatives of e^x equal e^0 = 1 at x = 0. P4(x) = 1 + x + x^2/2 + x^3/6 + x^4/24 At x = 1: P4(1) = 1 + 1 + 0.5 + 0.1667 + 0.0417 = 2.7083 Actual e^1 = 2.7183 (error < 0.004)

What Is a Taylor Polynomial?

A Taylor polynomial is a finite sum of terms that approximates a function's value near a specific point, often called the center point 'a'. Named after mathematician Brook Taylor, these polynomials provide a powerful method to represent complex functions using simpler, more manageable polynomial expressions. The accuracy of the approximation generally improves as more terms are included, meaning a higher degree polynomial offers a closer fit to the original function within an interval around 'a'. Each term in the polynomial is constructed using the function's derivatives evaluated at the chosen center point. This ensures that the polynomial matches the function's value, slope, concavity, and higher-order characteristics precisely at that point. For example, a first-degree Taylor polynomial is simply the tangent line to the function at 'a'. As the degree increases, the polynomial's graph more closely mirrors the function's curve, making this mathematical tool fundamental in calculus, numerical analysis, and various scientific and engineering applications for simplifying calculations and understanding local function behavior.
  • Approximates functions using a finite series of terms based on derivatives.
  • Utilizes a specific center point 'a' to match the function's behavior locally.
  • Higher degrees generally lead to more accurate approximations over a wider range around the center.
  • Essential for numerical methods, solving differential equations, and simplifying complex mathematical expressions.

Understanding Taylor polynomials is key to simplifying complex function analysis and is crucial for many scientific and engineering computations. Use this calculator to explore how different functions can be approximated, making advanced calculus concepts more accessible and practical.

You can also calculate changes using our Partial Derivative Calculator or Laplace Transform Solver.

Frequently Asked Questions

What is a Taylor polynomial?

A Taylor polynomial is a polynomial approximation of a function near a specific point, using the function's derivatives. Higher-degree polynomials give more accurate approximations over a wider range.

What is a Maclaurin series?

A Maclaurin series is a Taylor series centered at a = 0. Common examples include e^x = 1 + x + x^2/2! + x^3/3! + ... and sin(x) = x - x^3/3! + x^5/5! - ...

How do I choose the degree?

Higher degrees give better approximations but are more complex. For most practical purposes, degree 4-8 provides good accuracy near the center point. The accuracy decreases as you move further from the center.

Accurate and Reliable

All calculations run locally. Derivatives, integrals, and limits solved step by step.

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