If T4(x) is the fourth Maclaurin polynomial for the function f(x) = e*, then |e²-T₁(2)| 4e² 15 ≤-

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**Understanding the Approximations of Exponential Functions with Maclaurin Polynomials**

In calculus, Maclaurin polynomials provide an important method to approximate functions. Let’s explore this concept with the exponential function \( f(x) = e^x \).

Consider \( T_4(x) \), the fourth Maclaurin polynomial for the function \( f(x) = e^x \). The Maclaurin series for \( e^x \) is an infinite series, but for approximation purposes, we often use a finite number of terms.

For \( T_4(x) \), the polynomial looks like this:

\[ T_4(x) = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \frac{x^4}{4!} \]

Given this fourth-degree polynomial, we can approximate \( e^2 \) as \( T_4(2) \).

The error bound in this polynomial approximation is given by the difference between the actual function value and the polynomial value at a specific point. Mathematically, this is expressed as:

\[ | e^2 - T_4(2) | \leq \frac{4e^2}{15} \]

This inequality indicates that the absolute error between the actual value \( e^2 \) and its approximation using the fourth Maclaurin polynomial \( T_4(2) \) is at most \( \frac{4e^2}{15} \).

Understanding this can help you estimate how accurate your polynomial approximation might be in practical applications. Maclaurin polynomials are widely used for numerical methods, analysis, and solving differential equations, providing a simpler way to work with complex functions.
Transcribed Image Text:**Understanding the Approximations of Exponential Functions with Maclaurin Polynomials** In calculus, Maclaurin polynomials provide an important method to approximate functions. Let’s explore this concept with the exponential function \( f(x) = e^x \). Consider \( T_4(x) \), the fourth Maclaurin polynomial for the function \( f(x) = e^x \). The Maclaurin series for \( e^x \) is an infinite series, but for approximation purposes, we often use a finite number of terms. For \( T_4(x) \), the polynomial looks like this: \[ T_4(x) = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \frac{x^4}{4!} \] Given this fourth-degree polynomial, we can approximate \( e^2 \) as \( T_4(2) \). The error bound in this polynomial approximation is given by the difference between the actual function value and the polynomial value at a specific point. Mathematically, this is expressed as: \[ | e^2 - T_4(2) | \leq \frac{4e^2}{15} \] This inequality indicates that the absolute error between the actual value \( e^2 \) and its approximation using the fourth Maclaurin polynomial \( T_4(2) \) is at most \( \frac{4e^2}{15} \). Understanding this can help you estimate how accurate your polynomial approximation might be in practical applications. Maclaurin polynomials are widely used for numerical methods, analysis, and solving differential equations, providing a simpler way to work with complex functions.
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