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Taylor Series and Leibniz Rule for Higher-Order Derivatives

Neurocoda

This article uses the function f(x)=x2ln(1x)f(x) = x^2 \ln(1 - x) as an example to explain in detail how to compute f(n)(0)f^{(n)}(0) (n3n \ge 3) using Taylor series method and Leibniz rule, and analyzes the equivalence of the two methods.


Problem

Let f(x)=x2ln(1x)f(x) = x^2 \ln{(1 - x)}, then for n3n \ge 3, f(n)(0)=?f^{(n)}(0) = \text{?}

Taylor Series Method

Core Idea

Expand the function into a Taylor series and directly read off the higher-order derivatives from the coefficients of the power series.

Steps

  1. Expand ln(1x)\ln(1 - x)
    The Taylor expansion of ln(1x)\ln(1 - x) for x<1|x| < 1 is:

    ln(1x)=k=1xkk.\ln(1 - x) = -\sum_{k=1}^{\infty} \frac{x^k}{k}.
  2. Construct the series for f(x)f(x)
    Multiply by x2x^2:

    f(x)=x2(k=1xkk)=k=1xk+2k.f(x) = x^2 \cdot \left(-\sum_{k=1}^{\infty} \frac{x^k}{k}\right) = -\sum_{k=1}^{\infty} \frac{x^{k+2}}{k}.

    Substitute m=k+2m = k + 2 (i.e., k=m2k = m - 2):

    f(x)=m=3xmm2.f(x) = -\sum_{m=3}^{\infty} \frac{x^m}{m - 2}.
  3. Extract the coefficient of xnx^n
    For n3n \ge 3, the coefficient an=1n2a_n = -\frac{1}{n - 2}. By Taylor’s formula:

    f(n)(0)=n!an=n!n2.f^{(n)}(0) = n! \cdot a_n = -\frac{n!}{n - 2}.

Verification (Example n=3n = 3)

Compute f(3)(0)f^{(3)}(0):

f(3)(0)=3!32=6.f^{(3)}(0) = -\frac{3!}{3 - 2} = -6.

Direct differentiation yields:

f(x)=d3dx3(x2ln(1x))x=0=6.f'''(x) = \frac{d^3}{dx^3} \left(x^2 \ln(1 - x)\right) \bigg|_{x=0} = -6.

Leibniz Rule Method

Core Idea

Use the formula for higher-order derivatives of a product:

(fg)(n)(x)=k=0n(nk)f(k)(x)g(nk)(x).(f \cdot g)^{(n)}(x) = \sum_{k=0}^{n} \binom{n}{k} f^{(k)}(x) \cdot g^{(n - k)}(x).

Steps

  1. Decompose the function
    Let f(x)=x2f(x) = x^2, g(x)=ln(1x)g(x) = \ln(1 - x).

  2. Analyze higher-order derivatives of f(x)f(x)

    • f(0)(x)=x2f^{(0)}(x) = x^2, at x=0x=0 it is 00.
    • f(1)(x)=2xf^{(1)}(x) = 2x, at x=0x=0 it is 00.
    • f(2)(x)=2f^{(2)}(x) = 2, at x=0x=0 it is 22.
    • For k3k \ge 3, f(k)(x)=0f^{(k)}(x) = 0.
  3. Compute higher-order derivatives of g(x)g(x)
    g(m)(x)=(m1)!(1x)mg^{(m)}(x) = -\frac{(m - 1)!}{(1 - x)^m}, and at x=0x=0:

    g(m)(0)=(m1)!.g^{(m)}(0) = -(m - 1)!.
  4. Apply Leibniz rule
    Since f(k)(0)f^{(k)}(0) is nonzero only for k=2k=2, we have:

    f(n)(0)=(n2)f(2)(0)g(n2)(0).f^{(n)}(0) = \binom{n}{2} \cdot f^{(2)}(0) \cdot g^{(n - 2)}(0).

    Substituting values:

    f(n)(0)=n(n1)22((n3)!)=n(n1)(n3)!.f^{(n)}(0) = \frac{n(n - 1)}{2} \cdot 2 \cdot \left(-(n - 3)!\right) = -n(n - 1)(n - 3)!.

Verification (Example n=4n = 4)

Compute f(4)(0)f^{(4)}(0):

f(4)(0)=43(43)!=12.f^{(4)}(0) = -4 \cdot 3 \cdot (4 - 3)! = -12.

Taylor series verification:

4!42=242=12.-\frac{4!}{4 - 2} = -\frac{24}{2} = -12.

Unification of Results

The two methods give equivalent results:

n!n2=n(n1)(n3)!.-\frac{n!}{n - 2} = -n(n - 1)(n - 3)!.

Proof:

n!n2=n(n1)(n2)!n2=n(n1)(n3)!.\frac{n!}{n - 2} = \frac{n(n - 1)(n - 2)!}{n - 2} = n(n - 1)(n - 3)!.

Q&A

Q1: In the Taylor series method, after the substitution m=k+2m = k + 2, why are the powers of xx on both sides of the equality equal?

A: The substitution m=k+2m = k + 2 merely relabels the summation index without changing the mathematical content of the series. In the original series, the power of xk+2x^{k+2} is determined by k+2k+2, and after substitution it becomes xmx^m, so the powers of xx remain consistent.

Q2: In the Leibniz rule, why does only the term with k=2k=2 contribute to the result?

A: Because the higher-order derivatives of f(x)=x2f(x) = x^2 vanish for k3k \ge 3, and for k=0,1k=0,1 we have f(k)(0)=0f^{(k)}(0) = 0. The only nonzero term comes from k=2k=2.

Q3: Does the convergence interval of the Taylor series affect the result?

A: The Taylor series converges for x<1|x| < 1, but the computation of f(n)(0)f^{(n)}(0) depends only on the local behavior at x=0x=0, so the expansion is valid for calculating higher-order derivatives.


Conclusion

For n3n \ge 3, the nn-th derivative of f(x)=x2ln(1x)f(x) = x^2 \ln(1 - x) at x=0x=0 is:

f(n)(0)=n!n2.\boxed{f^{(n)}(0) = -\frac{n!}{n - 2}}.
Title: Taylor Series and Leibniz Rule for Higher-Order Derivatives Author: Neurocoda Created at: 2026-07-03 12:45:28 Link: https://neurocoda.com/zh/posts/taylor-series-and-leibniz-rule-for-higher-order-derivatives-en/ License: This work is licensed under CC BY-ND 4.0.

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