10.13
A Taylor series is a power series that represents a smooth function near a specific point, called the center. The main question is how to choose its coefficients so that the series matches the function’s value, slope, curvature, and higher-order behavior at the center.
The derivation starts by evaluating the power series at the center to isolate the constant coefficient. This means the first coefficient equals the function value at the center.
Next, differentiating once lowers each term by one degree, and evaluating at the center isolates the linear coefficient. This links the linear term to the function's slope at the center.
The same pattern continues for higher derivatives. Each time the series is differentiated, the lower-degree terms disappear. Then, evaluating at the center makes the remaining higher-degree terms zero. This isolates the term that links each derivative to its coefficient.
Repeated differentiation also creates numerical multipliers that form the factorial. Dividing by that factorial gives the exact coefficient for each power term.
This step-by-step pattern gives the full Taylor series, with each coefficient linked to the function’s behavior at the center.
A Taylor series is a power series constructed to reproduce the local behavior of a smooth function about a chosen point, called the center. Its purpose is to encode the function’s value and successive derivatives into a structured expansion that captures local variation. The central task in its derivation is to find coefficients so that the series and the function share identical values and derivatives at the center.
Consider a power series centered at x = a:
\begin{equation*}\Sigma_{n=0}^{\infty} c_n (x-a)^n\end{equation*}
Evaluating this expression at x = a eliminates all terms containing x - a, leaving only the constant term. This gives c0 = f(a). ensuring that the series matches the function’s value at the center. This step establishes the foundation for aligning higher-order behavior.
Differentiating the series once gives
\begin{equation*}\Sigma_{n=1}^{\infty} n c_n (x-a)^{n-1}\end{equation*}
Evaluating again at x = a eliminates all remaining terms except the one associated with c1, giving c1 = f'(a). The same reasoning applies to higher derivatives. With each differentiation, powers decrease, and numerical factors accumulate. After n differentiations, evaluating at x = a isolates a single term, producing the relation
\begin{equation*}f^{(n)}(a)=n!c_n\end{equation*}
Solving for the coefficient gives
\begin{equation*}c_n=\jfrac{f^{(n)}(a)}{n!}\end{equation*}
Substituting these coefficients into the original power series produces the Taylor series:
\begin{equation*}f(x)=\Sigma_{n=0}^{\infty}\jfrac{f^{(n)}(a)}{n!}(x-a)^n\end{equation*}
Each term in the series corresponds to a specific derivative evaluated at the center, linking the polynomial structure directly to the function’s local geometric properties, including value, slope, curvature, and higher-order variations.
A Taylor series is a power series that represents a smooth function near a specific point, called the center. The main question is how to choose its coefficients so that the series matches the function’s value, slope, curvature, and higher-order behavior at the center.
The derivation starts by evaluating the power series at the center to isolate the constant coefficient. This means the first coefficient equals the function value at the center.
Next, differentiating once lowers each term by one degree, and evaluating at the center isolates the linear coefficient. This links the linear term to the function's slope at the center.
The same pattern continues for higher derivatives. Each time the series is differentiated, the lower-degree terms disappear. Then, evaluating at the center makes the remaining higher-degree terms zero. This isolates the term that links each derivative to its coefficient.
Repeated differentiation also creates numerical multipliers that form the factorial. Dividing by that factorial gives the exact coefficient for each power term.
This step-by-step pattern gives the full Taylor series, with each coefficient linked to the function’s behavior at the center.
From Chapter 10:
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