AP Calculus AB/BC · 鼎睿学苑

Unit 10: Infinite Sequences
and Series

单元 10:无穷数列
与级数

Discover how the sum of infinitely many terms can converge to a finite value. Master convergence tests, Taylor & Maclaurin series, and error bounds.

探索无穷多项之和如何收敛到一个有限值。掌握各类收敛判别法、泰勒与麦克劳林级数,以及误差界。

17–18% of AP Exam占 AP 考试 17–18% ~17–18 Class Periods约 17–18 课时 15 Topics · BC Only15 个主题 · 仅 BC

Defining Convergent & Divergent Infinite Series

定义收敛与发散的无穷级数

Big Idea 核心思想 An infinite series is the sum of infinitely many terms: $\displaystyle\sum_{n=1}^{\infty} a_n = a_1 + a_2 + a_3 + \cdots$. The central question is: does this sum approach a finite number, or does it grow without bound? 无穷级数(infinite series是无穷多项之和:$\displaystyle\sum_{n=1}^{\infty} a_n = a_1 + a_2 + a_3 + \cdots$。核心问题是:此和会趋近于某个有限值,还是无界增长?

We answer this by looking at partial sums. The $n$th partial sum is $S_n = a_1 + a_2 + \cdots + a_n$. If the sequence of partial sums $\{S_n\}$ converges to a finite limit $S$, then the series converges to $S$. Otherwise, it diverges.

我们通过部分和(partial sum来回答。第 $n$ 个部分和为 $S_n = a_1 + a_2 + \cdots + a_n$。若部分和数列(sequence of partial sums $\{S_n\}$ 收敛(converge)到有限极限 $S$,则该级数收敛到 $S$;否则,该级数发散(diverge)。

Definition of Convergence
收敛的定义
$$ \sum_{n=1}^{\infty} a_n = S \quad \Longleftrightarrow \quad \lim_{n \to \infty} S_n = S \quad \text{where } S_n = \sum_{k=1}^{n} a_k $$
Key Distinction 关键区别 Sequence: An ordered list of numbers $\{a_n\}$ — does each term approach a value? 数列(sequence):有序的数字列表 $\{a_n\}$ —— 看每一项(term是否趋近某个值。 Series: The sum of a sequence — does the running total approach a value? 级数(series):数列各项的累加 —— 看累加和是否趋近某个值。 A sequence can converge while its corresponding series diverges. For example, $a_n = 1/n \to 0$, but $\sum 1/n = \infty$. 数列可以收敛而对应的级数发散。例如,$a_n = 1/n \to 0$,但 $\sum 1/n = \infty$。
Worked Example — Telescoping Series例题 —— 裂项相消级数
Determine if the series converges:判断该级数是否收敛:
$$ \sum_{n=1}^{\infty} \frac{1}{n(n+1)} $$

Use partial fractions:使用部分分式分解:
  1/[n(n+1)] = 1/n − 1/(n+1)

Write partial sums (terms cancel!):写出部分和(各项相消!):
  S_n = (1 − 1/2) + (1/2 − 1/3) + ⋯ + (1/n − 1/(n+1))
      = 1 − 1/(n+1)

Take the limit:取极限:
  lim(n→∞) S_n = 1 − 0 = 1

The series converges to 1.该级数收敛到 1。

Working with Geometric Series

处理等比级数

A geometric series has a constant ratio $r$ between consecutive terms. It is the most important series to recognize on the AP exam because it has a clean closed-form sum.

等比级数(geometric series相邻两项之比为常数 $r$。这是 AP 考试中最重要的可识别级数,因为它有简洁的闭式求和公式。

Geometric Series
等比级数
$$ \sum_{n=0}^{\infty} ar^n = a + ar + ar^2 + \cdots = \frac{a}{1-r}, \quad |r| < 1 $$

Converges if and only if $|r| < 1$. Diverges if $|r| \geq 1$.

当且仅当 $|r| < 1$ 时收敛;当 $|r| \geq 1$ 时发散。

Interactive Geometric Series Explorer
交互式等比级数探索器

Adjust $r$ and watch the partial sums converge (or diverge). The bars show each term; the line tracks the running total.

调节 $r$ 观察部分和如何收敛(或发散)。柱状图显示每一项,折线追踪累加和。

r = 0.50
Partial sum $S_{20}$ = 部分和 $S_{20}$ =
Exact sum $\frac{a}{1-r}$ = 精确和 $\frac{a}{1-r}$ =
Recognizing Geometric Series 识别等比级数 Look for a series where each term is obtained by multiplying the previous term by a constant. The first term $a$ and ratio $r$ may be hidden — extract them by rewriting. 寻找每项由前项乘以常数得到的级数。首项 $a$ 和公比 $r$ 可能被掩藏——通过改写形式将其提取出来。 Example: $\displaystyle\sum_{n=1}^{\infty} \frac{3}{5^n} = \sum_{n=1}^{\infty} 3 \cdot \left(\frac{1}{5}\right)^n = \frac{3/5}{1 - 1/5} = \frac{3}{4}$. 例: $\displaystyle\sum_{n=1}^{\infty} \frac{3}{5^n} = \sum_{n=1}^{\infty} 3 \cdot \left(\frac{1}{5}\right)^n = \frac{3/5}{1 - 1/5} = \frac{3}{4}$。
Worked Example — Geometric Series例题 —— 等比级数
Find the sum:求和:
$$ \sum_{n=0}^{\infty} \frac{(-1)^n \cdot 2^n}{3^n} = \sum_{n=0}^{\infty} \left(\frac{-2}{3}\right)^n $$

Identify: a = 1, r = −2/3识别:a = 1,r = −2/3
Since |r| = 2/3 < 1, it converges:因为 |r| = 2/3 < 1,所以收敛:

  S = a/(1−r) = 1/(1−(−2/3))
    = 1/(1 + 2/3) = 1/(5/3) = 3/5
What is $\displaystyle\sum_{n=1}^{\infty} \left(\frac{2}{3}\right)^n$?$\displaystyle\sum_{n=1}^{\infty} \left(\frac{2}{3}\right)^n$ 等于多少?
$3$
$\frac{3}{2}$
$2$
$\frac{2}{3}$
Correct! This is geometric with first term $a = 2/3$ (when $n=1$) and $r = 2/3$. Sum $= \frac{2/3}{1 - 2/3} = \frac{2/3}{1/3} = 2$.正确!这是等比级数,首项 $a = 2/3$(当 $n=1$ 时),公比 $r = 2/3$。和 $= \frac{2/3}{1 - 2/3} = \frac{2/3}{1/3} = 2$。
Starting at $n=1$: first term $a_1 = 2/3$, common ratio $r = 2/3$. Sum $= \frac{a_1}{1-r} = \frac{2/3}{1/3} = 2$.从 $n=1$ 开始:首项 $a_1 = 2/3$,公比 $r = 2/3$。和 $= \frac{a_1}{1-r} = \frac{2/3}{1/3} = 2$。

The $n$th Term Test for Divergence

第 $n$ 项发散判别法

nth Term Test (Divergence Test)
第 n 项判别法(nth-term test
$$ \text{If } \lim_{n \to \infty} a_n \neq 0, \text{ then } \sum_{n=1}^{\infty} a_n \text{ diverges.} $$
Critical Warning — One-Way Test! 重要警示 —— 单向判别! The nth Term Test can only prove divergence. If $\lim a_n = 0$, the test is inconclusive — the series may converge or diverge. 第 n 项判别法只能证明发散。若 $\lim a_n = 0$,则判别法不能下结论 —— 级数可能收敛也可能发散。 Classic trap: $a_n = 1/n \to 0$, but $\sum 1/n$ diverges (harmonic series). So "$\lim a_n = 0$" does NOT mean the series converges. 经典陷阱: $a_n = 1/n \to 0$,但 $\sum 1/n$ 发散(调和级数(harmonic series))。因此 “$\lim a_n = 0$” 意味着级数收敛。
When to Use It 何时使用 This should be your first check on every series problem. If the terms don't go to zero, you're done — it diverges. Only if $a_n \to 0$ do you need to apply a more sophisticated test. 每道级数题都应将此作为首要检查。若各项不趋于零,则结论已得 —— 发散。仅当 $a_n \to 0$ 时才需要使用更复杂的判别法。
Worked Example — nth Term Test例题 —— 第 n 项判别法
Does this series converge or diverge?该级数收敛还是发散?
$$ \sum_{n=1}^{\infty} \frac{n}{2n+1} $$

Apply nth term test:应用第 n 项判别法:
  lim(n→∞) n/(2n+1) = lim(n→∞) 1/(2 + 1/n) = 1/2 ≠ 0

By the nth Term Test, the series diverges.由第 n 项判别法,级数发散。

Integral Test for Convergence

收敛的积分判别法

The Connection 联系 The integral test bridges series and improper integrals. If $f$ is a positive, continuous, decreasing function on $[1, \infty)$ and $a_n = f(n)$, then $\sum a_n$ and $\int_1^{\infty} f(x)\,dx$ either both converge or both diverge. 积分判别法(integral test将级数与反常积分联系起来。若 $f$ 在 $[1, \infty)$ 上为正、连续且单调递减,并且 $a_n = f(n)$,则 $\sum a_n$ 与 $\int_1^{\infty} f(x)\,dx$ 同时收敛或同时发散。
Integral Test
积分判别法
$$ \text{If } f \text{ is positive, continuous, decreasing for } x \geq 1 \text{ and } a_n = f(n): $$ $$ \sum_{n=1}^{\infty} a_n \text{ and } \int_1^{\infty} f(x)\,dx \text{ both converge or both diverge.} $$
Conditions Matter! 条件必须满足! On the AP exam, you must verify that $f$ is positive, continuous, and decreasing. Stating "by the integral test" without checking conditions loses points. AP 考试中必须验证 $f$ 为正、连续且单调递减。仅写“由积分判别法”而不检验条件会被扣分。
Worked Example — Integral Test例题 —— 积分判别法
Does the series converge?该级数是否收敛?
$$ \sum_{n=1}^{\infty} \frac{1}{n^2 + 1} $$

Let f(x) = 1/(x² + 1). It is positive, continuous,设 f(x) = 1/(x² + 1)。它在 x ≥ 1 上
and decreasing for x ≥ 1. ✓为正、连续且单调递减。✓

Evaluate the improper integral:计算反常积分:
∫₁∞ 1/(x²+1) dx = lim(b→∞) [arctan(x)]₁ᵇ
                 = lim(b→∞) [arctan(b) − arctan(1)]
                 = π/2 − π/4 = π/4

The integral converges, so the series converges.积分收敛,因此级数收敛。
(Note: the series sum ≠ π/4; the integral test(注意:级数和 ≠ π/4;积分判别法
 only tells us convergence, not the exact sum.) 只判断收敛性,不给出精确和。)

Harmonic Series and $p$-Series

调和级数与 $p$ 级数

Two important families of series that you should know by name and be able to classify instantly.

两类重要的级数族 —— 必须能按名称识别并立刻判断其收敛性。

Key Series to Memorize
必记关键级数
Series级数 Form形式 Convergence收敛性
Harmonic Series调和级数(harmonic series $\displaystyle\sum_{n=1}^{\infty} \frac{1}{n}$ Diverges发散
Alternating Harmonic交错调和级数 $\displaystyle\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n}$ Converges (to $\ln 2$)收敛(到 $\ln 2$)
$p$-Series$p$ 级数(p-series $\displaystyle\sum_{n=1}^{\infty} \frac{1}{n^p}$ Converges if $p > 1$; diverges if $p \leq 1$$p > 1$ 时收敛;$p \leq 1$ 时发散
Why the Harmonic Series Diverges 为何调和级数发散 Even though $1/n \to 0$, the terms decrease so slowly that the partial sums grow without bound. This is proved using the integral test: $\int_1^{\infty} 1/x\,dx = \infty$. 尽管 $1/n \to 0$,但各项下降太慢,部分和会无界增长。可用积分判别法证明:$\int_1^{\infty} 1/x\,dx = \infty$。
$p$-Series Quick Check $p$ 级数速查 $\sum 1/n^2$ → $p = 2 > 1$ → converges $\sum 1/n^2$ → $p = 2 > 1$ → 收敛 $\sum 1/n^{1/2}$ → $p = 1/2 \leq 1$ → diverges $\sum 1/n^{1/2}$ → $p = 1/2 \leq 1$ → 发散 $\sum 1/n$ → $p = 1$ → diverges (boundary case!) $\sum 1/n$ → $p = 1$ → 发散(临界情形!)

Comparison Tests for Convergence

收敛的比较判别法

Direct Comparison Test (DCT)

比较判别法(direct comparison test,DCT)

Direct Comparison Test 比较判别法 For positive-term series $\sum a_n$ and $\sum b_n$ where $0 \leq a_n \leq b_n$ for all $n$: 对正项级数 $\sum a_n$ 与 $\sum b_n$,若对所有 $n$ 有 $0 \leq a_n \leq b_n$: If $\sum b_n$ converges → $\sum a_n$ converges (smaller than a convergent series). 若 $\sum b_n$ 收敛 → $\sum a_n$ 收敛(小于收敛级数)。 If $\sum a_n$ diverges → $\sum b_n$ diverges (bigger than a divergent series). 若 $\sum a_n$ 发散 → $\sum b_n$ 发散(大于发散级数)。

Limit Comparison Test (LCT)

极限比较判别法(limit comparison test,LCT)

Limit Comparison Test
极限比较判别法
$$ \text{If } \lim_{n\to\infty} \frac{a_n}{b_n} = L, \quad 0 < L < \infty $$ $$ \text{then } \sum a_n \text{ and } \sum b_n \text{ both converge or both diverge.} $$
When to Use Which 何时使用哪一种 Direct Comparison: When you can easily show $a_n \leq b_n$ (or $a_n \geq b_n$) for all $n$. 比较判别法:能轻松证明对所有 $n$ 都有 $a_n \leq b_n$(或 $a_n \geq b_n$)时使用。 Limit Comparison: When the terms have similar "dominant behavior" but the inequality is hard to establish. This is usually the easier test to apply. 极限比较:当各项有相近的“主导行为”但不等式不易建立时使用。通常更易操作。
Worked Example — Limit Comparison Test例题 —— 极限比较判别法
Does this converge?该级数是否收敛?
$$ \sum_{n=1}^{\infty} \frac{3n+1}{n^3 - 2} $$

For large n, the dominant behavior is ≈ 3n/n³ = 3/n².当 n 很大时,主导项 ≈ 3n/n³ = 3/n²。
Compare with b_n = 1/n² (p-series, p=2, converges).与 b_n = 1/n² 比较(p 级数,p=2,收敛)。

  lim(n→∞) a_n/b_n = lim(n→∞) [(3n+1)/(n³−2)] / [1/n²]
                    = lim(n→∞) (3n+1)·n²/(n³−2)
                    = lim(n→∞) (3n³+n²)/(n³−2)
                    = 3

Since 0 < 3 < ∞ and Σ 1/n² converges:因为 0 < 3 < ∞ 且 Σ 1/n² 收敛:
By the Limit Comparison Test, the series converges.由极限比较判别法,级数收敛。

Alternating Series Test for Convergence

交错级数收敛判别法

Alternating Series Test (Leibniz Test)
交错级数判别法(alternating series test,莱布尼茨判别法)
$$ \text{The series } \sum_{n=1}^{\infty} (-1)^{n+1} b_n \text{ converges if:} $$ $$ \text{1. } b_n > 0 \quad \text{2. } b_{n+1} \leq b_n \text{ (decreasing)} \quad \text{3. } \lim_{n\to\infty} b_n = 0 $$
All Three Conditions Required! 三个条件缺一不可! On the AP exam, you must explicitly verify all three conditions when justifying with the alternating series test. Simply saying "it alternates and goes to zero" is not sufficient — you must also show the terms are decreasing in absolute value. 在 AP 考试中使用交错级数判别法时必须显式验证全部三个条件。仅写“交错且趋于零”是不够的 —— 还必须证明各项的绝对值单调递减。
Showing $b_n$ is Decreasing 证明 $b_n$ 单调递减 Two common approaches: 两种常用方法: 1. Show $b_{n+1} < b_n$ directly (algebraic manipulation). 1. 直接证明 $b_{n+1} < b_n$(代数变形)。 2. Let $f(x) = b_x$ and show $f'(x) < 0$ for $x \geq 1$ (calculus approach). 2. 令 $f(x) = b_x$,证明在 $x \geq 1$ 上 $f'(x) < 0$(微积分方法)。
Worked Example — Alternating Series Test例题 —— 交错级数判别法
Does this converge?该级数是否收敛?
$$ \sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n^2} $$

Here b_n = 1/n².此处 b_n = 1/n²。

✓ b_n > 0 for all n✓ 对所有 n,b_n > 0
✓ b_{n+1} = 1/(n+1)² < 1/n² = b_n (decreasing)✓ b_{n+1} = 1/(n+1)² < 1/n² = b_n(递减)
✓ lim(n→∞) 1/n² = 0✓ lim(n→∞) 1/n² = 0

All three conditions met → series converges三个条件全部满足 → 由交错级数判别法,
by the Alternating Series Test.级数收敛。
Does $\displaystyle\sum_{n=1}^{\infty} \frac{(-1)^n \cdot n}{n+1}$ converge?$\displaystyle\sum_{n=1}^{\infty} \frac{(-1)^n \cdot n}{n+1}$ 是否收敛?
Yes, by the Alternating Series Test是,由交错级数判别法
No, by the nth Term Test否,由第 n 项判别法
Yes, by the Ratio Test是,由比值判别法
Cannot be determined无法判断
Correct! $\lim_{n\to\infty} \frac{(-1)^n \cdot n}{n+1}$ does not equal $0$ — the absolute value approaches $1$. The nth Term Test immediately tells us the series diverges.正确!$\lim_{n\to\infty} \frac{(-1)^n \cdot n}{n+1}$ 不等于 $0$ —— 绝对值趋于 $1$。第 n 项判别法立即告诉我们级数发散。
Check: $\lim |a_n| = \lim n/(n+1) = 1 \neq 0$. Since the terms don't approach zero, the series diverges by the nth Term Test.检查:$\lim |a_n| = \lim n/(n+1) = 1 \neq 0$。各项不趋于零,因此由第 n 项判别法发散。

Ratio Test for Convergence

收敛的比值判别法

Ratio Test
比值判别法(ratio test
$$ L = \lim_{n\to\infty} \left|\frac{a_{n+1}}{a_n}\right| $$

If $L < 1$ → series converges absolutely
If $L > 1$ (or $L = \infty$) → series diverges
If $L = 1$ → inconclusive

若 $L < 1$ → 级数绝对收敛(absolute convergence
若 $L > 1$(或 $L = \infty$) → 级数发散
若 $L = 1$ → 不能下结论

When the Ratio Test Shines 比值判别法的最佳场景 Use the ratio test when the series involves factorials ($n!$), exponentials ($a^n$), or combinations of both. These are the situations where the ratio simplifies beautifully. 当级数含阶乘($n!$)、指数($a^n$)或两者组合时使用比值判别法。这些场景下比值能优雅地化简。
Worked Example — Ratio Test例题 —— 比值判别法
Does this converge?该级数是否收敛?
$$ \sum_{n=1}^{\infty} \frac{n!}{3^n} $$

Compute the ratio:计算比值:
  |a_{n+1}/a_n| = [(n+1)!/3^(n+1)] / [n!/3^n]
               = (n+1)!/n! · 3^n/3^(n+1)
               = (n+1) · 1/3
               = (n+1)/3

  L = lim(n→∞) (n+1)/3 = ∞ > 1

By the Ratio Test, the series diverges.由比值判别法,级数发散。
(Factorials grow faster than exponentials!)(阶乘增长比指数更快!)
Worked Example — Ratio Test (Convergent)例题 —— 比值判别法(收敛情形)
Does this converge?该级数是否收敛?
$$ \sum_{n=0}^{\infty} \frac{5^n}{n!} $$

Compute the ratio:计算比值:
  |a_{n+1}/a_n| = [5^(n+1)/(n+1)!] / [5^n/n!]
               = 5/(n+1)

  L = lim(n→∞) 5/(n+1) = 0 < 1

By the Ratio Test, the series converges absolutely.由比值判别法,级数绝对收敛。
(This is actually the series for e⁵!)(这其实就是 e⁵ 的级数!)

Determining Absolute or Conditional Convergence

判别绝对收敛或条件收敛

Definitions 定义 Absolutely convergent: $\sum |a_n|$ converges (and therefore $\sum a_n$ also converges). 绝对收敛(absolute convergence):$\sum |a_n|$ 收敛(因此 $\sum a_n$ 也收敛)。 Conditionally convergent: $\sum a_n$ converges, but $\sum |a_n|$ diverges. 条件收敛(conditional convergence):$\sum a_n$ 收敛,但 $\sum |a_n|$ 发散。 Divergent: $\sum a_n$ does not converge. 发散:$\sum a_n$ 不收敛。
Key Theorem 关键定理 Absolute convergence implies convergence. If $\sum |a_n|$ converges, then $\sum a_n$ converges. The converse is false. 绝对收敛蕴含收敛。若 $\sum |a_n|$ 收敛,则 $\sum a_n$ 收敛;反之不成立。 Classic example: The alternating harmonic series $\sum (-1)^{n+1}/n$ converges (AST), but $\sum 1/n$ diverges → conditionally convergent. 经典例子:交错调和级数 $\sum (-1)^{n+1}/n$ 由交错级数判别法收敛,但 $\sum 1/n$ 发散 → 条件收敛
Decision Process判别流程

Step 1: Does $\sum |a_n|$ converge? If yes → absolutely convergent. Done.

步骤 1:$\sum |a_n|$ 是否收敛?若是 → 绝对收敛,结束。

Step 2: If $\sum |a_n|$ diverges, does $\sum a_n$ converge (e.g., by AST)? If yes → conditionally convergent.

步骤 2:若 $\sum |a_n|$ 发散,则 $\sum a_n$ 是否收敛(例如由交错级数判别法)?若是 → 条件收敛

Step 3: If $\sum a_n$ also diverges → divergent.

步骤 3:若 $\sum a_n$ 也发散 → 发散


Alternating Series Error Bound

交错级数误差界

Alternating Series Error Bound
交错级数误差界(alternating series error bound
$$ |S - S_n| \leq |a_{n+1}| = b_{n+1} $$

The error from using the $n$th partial sum is at most the absolute value of the first omitted term.

用第 $n$ 个部分和近似时的误差至多为第一个被舍弃项的绝对值。

Why This Works 原理 For an alternating series satisfying the AST, the partial sums oscillate around the true value $S$, and each new term brings the sum closer. So the maximum error is bounded by the size of the next term. 对满足交错级数判别法的级数,部分和绕真值 $S$ 振荡,每加一项都更接近 $S$。因此最大误差由下一项的大小所控制。
Worked Example — Alternating Series Error Bound例题 —— 交错级数误差界
Approximate the sum of the series to within 0.01:将该级数之和近似到误差 0.01 以内:
$$ \sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n^3} $$

We need |a_{n+1}| = 1/(n+1)³ < 0.01需要 |a_{n+1}| = 1/(n+1)³ < 0.01
  (n+1)³ > 100
  n+1 > 4.64...
  n ≥ 4  →  use 使用 S₄

Compute:计算:
  S₄ = 1/1 − 1/8 + 1/27 − 1/64
     = 1 − 0.125 + 0.0370 − 0.0156
     ≈ 0.8965

S₄ approximates the sum with error ≤ 1/125 = 0.008 < 0.01. ✓S₄ 近似该和,误差 ≤ 1/125 = 0.008 < 0.01。✓

Finding Taylor Polynomial Approximations of Functions

求函数的泰勒多项式近似

The Big Idea 核心思想 A Taylor polynomial approximates a function near a point $x = a$ using derivatives at that point. The more terms you include, the better the approximation — and in many cases, the infinite Taylor series equals the function exactly. 泰勒多项式(Taylor polynomial使用函数在点 $x = a$ 处的各阶导数来近似该点附近的函数。所含项越多,近似越好 —— 很多情况下,无穷泰勒级数(Taylor series恰等于该函数本身。
Taylor Polynomial of Degree $n$
$n$ 次泰勒多项式(nth-degree Taylor polynomial
$$ P_n(x) = \sum_{k=0}^{n} \frac{f^{(k)}(a)}{k!}(x-a)^k = f(a) + f'(a)(x-a) + \frac{f''(a)}{2!}(x-a)^2 + \cdots $$
Maclaurin Polynomial = Taylor at $a = 0$ 麦克劳林多项式 = $a = 0$ 处的泰勒多项式 A Maclaurin polynomial is simply a Taylor polynomial centered at $x = 0$: 麦克劳林多项式(Maclaurin series 的多项式版本)就是以 $x = 0$ 为中心(center of a power series的泰勒多项式: $$ P_n(x) = f(0) + f'(0)x + \frac{f''(0)}{2!}x^2 + \frac{f'''(0)}{3!}x^3 + \cdots $$
Interactive Taylor Polynomial Explorer
交互式泰勒多项式探索器

Increase the degree and watch the polynomial "hug" the function more closely.

增加次数,观察多项式如何越来越贴近原函数。

n = 1
Worked Example — Taylor Polynomial for $e^x$ at $a = 0$例题 —— $e^x$ 在 $a = 0$ 处的泰勒多项式
Find the 4th-degree Maclaurin polynomial for f(x) = eˣ.求 f(x) = eˣ 的 4 次麦克劳林多项式。

All derivatives of eˣ are eˣ, and e⁰ = 1:eˣ 的各阶导数都是 eˣ,且 e⁰ = 1:
  f(0) = 1,  f'(0) = 1,  f''(0) = 1,  f'''(0) = 1,  f⁴(0) = 1

P₄(x) = 1 + x + x²/2! + x³/3! + x⁴/4!
       = 1 + x + x²/2 + x³/6 + x⁴/24

Lagrange Error Bound

拉格朗日误差界

Lagrange Error Bound (Taylor's Remainder)
拉格朗日误差界(Lagrange error bound,泰勒余项(remainder term))
$$ |R_n(x)| = |f(x) - P_n(x)| \leq \frac{M}{(n+1)!}|x - a|^{n+1} $$

where $M = \max |f^{(n+1)}(c)|$ for $c$ between $a$ and $x$

其中 $M = \max |f^{(n+1)}(c)|$,$c$ 在 $a$ 与 $x$ 之间

How to Use the Lagrange Error Bound 使用拉格朗日误差界的步骤 Step 1: Identify $f$, $a$, $n$, and $x$. 步骤 1:确定 $f$、$a$、$n$ 和 $x$。 Step 2: Find the $(n+1)$th derivative of $f$. 步骤 2:求出 $f$ 的 $(n+1)$ 阶导数。 Step 3: Find the maximum of $|f^{(n+1)}(c)|$ for $c$ between $a$ and $x$. This is $M$. 步骤 3:求 $c$ 在 $a$ 与 $x$ 之间时 $|f^{(n+1)}(c)|$ 的最大值,记为 $M$。 Step 4: Plug into the formula. 步骤 4:代入公式。
Lagrange vs. Alternating Series Error 拉格朗日 vs. 交错级数误差 If the Taylor series is alternating and satisfies the AST conditions, you can use the simpler alternating series error bound instead. Use Lagrange when the series is not alternating. 若泰勒级数为交错级数且满足交错级数判别法的条件,可改用更简单的交错级数误差界。当级数非交错时使用拉格朗日误差界。
Worked Example — Lagrange Error Bound例题 —— 拉格朗日误差界
Use the 3rd-degree Maclaurin polynomial for sin(x)用 sin(x) 的 3 次麦克劳林多项式
to approximate sin(0.5). Bound the error.近似 sin(0.5),并估计误差界。

P₃(x) = x − x³/6
P₃(0.5) = 0.5 − 0.125/6 = 0.5 − 0.02083 ≈ 0.47917

Error bound: n = 3, a = 0, x = 0.5误差界:n = 3,a = 0,x = 0.5
f⁴(x) = sin(x), so |f⁴(c)| ≤ 1 for all c → M = 1f⁴(x) = sin(x),所以对所有 c 有 |f⁴(c)| ≤ 1 → M = 1

  |R₃| ≤ M · |x−a|⁴ / 4! = 1 · (0.5)⁴ / 24
       = 0.0625/24 ≈ 0.0026

The approximation 0.47917 has error ≤ 0.0026.近似值 0.47917 的误差 ≤ 0.0026。
(Actual: sin(0.5) ≈ 0.47943, error ≈ 0.00026)(实际:sin(0.5) ≈ 0.47943,误差 ≈ 0.00026)

Radius and Interval of Convergence of Power Series

幂级数的收敛半径与收敛区间

Power Series 幂级数(power series A power series centered at $x = c$ has the form $\displaystyle\sum_{n=0}^{\infty} a_n(x - c)^n$. It converges for some values of $x$ and diverges for others. 以 $x = c$ 为中心的幂级数形如 $\displaystyle\sum_{n=0}^{\infty} a_n(x - c)^n$。它对某些 $x$ 收敛,对其他 $x$ 发散。
Finding Radius of Convergence
求收敛半径(radius of convergence
$$ R = \lim_{n\to\infty} \left|\frac{a_n}{a_{n+1}}\right| \quad \text{(or use the ratio test on the series)} $$

The series converges when $|x - c| < R$ and diverges when $|x - c| > R$.

当 $|x - c| < R$ 时级数收敛,当 $|x - c| > R$ 时发散。

Finding the Interval of Convergence求收敛区间(interval of convergence

Step 1: Use the ratio test to find $R$ (the radius of convergence).

步骤 1:使用比值判别法求 $R$(收敛半径)。

Step 2: Write the open interval $(c - R, c + R)$.

步骤 2:写出开区间 $(c - R, c + R)$。

Step 3: Test the endpoints $x = c - R$ and $x = c + R$ individually by plugging them back into the original series.

步骤 3:分别将端点 $x = c - R$ 和 $x = c + R$ 代回原级数检验。

Step 4: Include or exclude each endpoint based on whether the resulting series converges.

步骤 4:根据各端点处所得级数是否收敛,决定端点的取舍。

Don't Forget the Endpoints! 别忘了检验端点! The ratio test gives you the open interval of convergence. You must separately test both endpoints. This is where p-series, harmonic series, and alternating series tests come in handy. 比值判别法给出的是收敛的开区间。必须分别检验两个端点。这正是 p 级数、调和级数与交错级数判别法发挥作用的地方。
Worked Example — Interval of Convergence例题 —— 收敛区间
Find the interval of convergence:求收敛区间:
$$ \sum_{n=1}^{\infty} \frac{(x-3)^n}{n \cdot 2^n} $$

Ratio test:比值判别法:
  |a_{n+1}/a_n| = |(x−3)^(n+1)/[(n+1)2^(n+1)]| / |(x−3)^n/[n·2^n]|
               = |x−3|/2 · n/(n+1)

  lim = |x−3|/2

Converges when |x−3|/2 < 1  →  |x−3| < 2  →  R = 2当 |x−3|/2 < 1 时收敛  →  |x−3| < 2  →  R = 2
Open interval: (1, 5)开区间:(1, 5)

Test x = 1:检验 x = 1:  Σ (-1)^n/n → alternating harmonic → 交错调和级数 → converges收敛
Test x = 5:检验 x = 5:  Σ 1/n → harmonic → 调和级数 → diverges发散

Interval of convergence: [1, 5)收敛区间:[1, 5)
Important Properties 重要性质 Term-by-term differentiation and integration preserve the radius of convergence (but endpoints may change). 逐项求导与逐项积分保持收敛半径不变(但端点的收敛性可能改变)。

Finding Taylor or Maclaurin Series for a Function

求函数的泰勒或麦克劳林级数

These four Maclaurin series are the building blocks for the AP exam. Memorize them.

这四条常见的麦克劳林级数(common Maclaurin series是 AP 考试的基本砖块。请熟记。

Essential Maclaurin Series — Memorize These!
必记的麦克劳林级数
Function函数 Maclaurin Series麦克劳林级数 Converges for收敛域
$e^x$$\displaystyle\sum_{n=0}^{\infty} \frac{x^n}{n!} = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \cdots$all $x$所有 $x$
$\sin x$$\displaystyle\sum_{n=0}^{\infty} \frac{(-1)^n x^{2n+1}}{(2n+1)!} = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \cdots$all $x$所有 $x$
$\cos x$$\displaystyle\sum_{n=0}^{\infty} \frac{(-1)^n x^{2n}}{(2n)!} = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \cdots$all $x$所有 $x$
$\dfrac{1}{1-x}$$\displaystyle\sum_{n=0}^{\infty} x^n = 1 + x + x^2 + x^3 + \cdots$$|x| < 1$
Notice the Patterns 注意规律 $\sin x$ uses only odd powers. $\cos x$ uses only even powers. $\sin x$ 只含奇次幂。$\cos x$ 只含偶次幂 Both $\sin x$ and $\cos x$ alternate in sign. $\sin x$ 与 $\cos x$ 都正负交替 $e^x$ uses all powers with all positive signs. $e^x$ 含所有幂次全为正号 $1/(1-x)$ is just the geometric series! $1/(1-x)$ 就是等比级数
Worked Example — Constructing from a Known Series例题 —— 从已知级数构造
Find the Maclaurin series for f(x) = e^(−x²).求 f(x) = e^(−x²) 的麦克劳林级数。

Start with the known series for eᵘ:从已知的 eᵘ 级数出发:
  eᵘ = Σ uⁿ/n!

Substitute u = −x²:代入 u = −x²:
  e^(−x²) = Σ (−x²)ⁿ/n!
           = Σ (−1)ⁿ x^(2n) / n!

           = 1 − x² + x⁴/2! − x⁶/3! + ⋯

           = Σ_{n=0}^∞ (−1)ⁿ x^(2n) / n!

Representing Functions as Power Series

将函数表示为幂级数

The Toolkit 工具箱 You can derive new power series from known ones using these operations: 利用以下操作可从已知幂级数推导新幂级数: 1. Substitution: Replace $x$ with an expression (e.g., $-x$, $x^2$, $3x$). 1. 代换:用表达式(如 $-x$、$x^2$、$3x$)替换 $x$。 2. Multiplication: Multiply the series by $x$, $x^2$, a constant, etc. 2. 乘法:将级数乘以 $x$、$x^2$、常数等。 3. Term-by-term differentiation: Differentiating each term gives the series for $f'(x)$. 3. 逐项求导:对每一项求导得到 $f'(x)$ 的级数。 4. Term-by-term integration: Integrating each term gives the series for $\int f(x)\,dx$. 4. 逐项积分:对每一项积分得到 $\int f(x)\,dx$ 的级数。
Worked Example — Substitution例题 —— 代换
Find a power series for 1/(1+x²).求 1/(1+x²) 的幂级数。

Start with: 1/(1−u) = Σ uⁿ for |u| < 1从已知出发:当 |u| < 1 时 1/(1−u) = Σ uⁿ
Let u = −x²:令 u = −x²:

  1/(1−(−x²)) = 1/(1+x²)
              = Σ (−x²)ⁿ
              = Σ (−1)ⁿ x^(2n)

              = 1 − x² + x⁴ − x⁶ + ⋯
for |x| < 1|x| < 1
Worked Example — Term-by-Term Integration例题 —— 逐项积分
Find a power series for arctan(x).求 arctan(x) 的幂级数。

We know d/dx[arctan(x)] = 1/(1+x²)已知 d/dx[arctan(x)] = 1/(1+x²)
So arctan(x) = ∫ 1/(1+x²) dx所以 arctan(x) = ∫ 1/(1+x²) dx

From above: 1/(1+x²) = Σ (−1)ⁿ x^(2n)由上:1/(1+x²) = Σ (−1)ⁿ x^(2n)

Integrate term by term:逐项积分:
  arctan(x) = Σ (−1)ⁿ x^(2n+1)/(2n+1) + C

Since arctan(0) = 0, we get C = 0:因为 arctan(0) = 0,所以 C = 0:
  arctan(x) = x − x³/3 + x⁵/5 − x⁷/7 + ⋯
for |x| ≤ 1|x| ≤ 1
The Maclaurin series for $xe^x$ is:$xe^x$ 的麦克劳林级数为:
$\displaystyle\sum_{n=0}^{\infty} \frac{x^n}{n!}$
$\displaystyle\sum_{n=0}^{\infty} \frac{x^{n+1}}{n!}$
$\displaystyle\sum_{n=1}^{\infty} \frac{x^{n-1}}{n!}$
$\displaystyle\sum_{n=0}^{\infty} \frac{(-1)^n x^{n+1}}{n!}$
Correct! Multiply $e^x = \sum x^n/n!$ by $x$: $xe^x = \sum x^{n+1}/n! = x + x^2 + x^3/2! + \cdots$正确!将 $e^x = \sum x^n/n!$ 乘以 $x$:$xe^x = \sum x^{n+1}/n! = x + x^2 + x^3/2! + \cdots$
Since $e^x = \sum_{n=0}^{\infty} x^n/n!$, multiplying by $x$ gives $xe^x = \sum_{n=0}^{\infty} x^{n+1}/n!$.由 $e^x = \sum_{n=0}^{\infty} x^n/n!$,乘以 $x$ 得 $xe^x = \sum_{n=0}^{\infty} x^{n+1}/n!$。

Which Convergence Test Should I Use?

应该使用哪个收敛判别法?

?
Decision Flowchart判别决策流程

Step 0 — Always start here: Does $\lim a_n = 0$? If NO → diverges (nth Term Test). If YES → continue.

步骤 0 —— 永远先做:$\lim a_n = 0$ 吗?若否 → 发散(第 n 项判别法)。若是 → 继续。

Step 1 — Is it geometric? $\sum ar^n$ → converges if $|r| < 1$, diverges if $|r| \geq 1$.

步骤 1 —— 是等比级数吗?$\sum ar^n$ → $|r| < 1$ 时收敛,$|r| \geq 1$ 时发散。

Step 2 — Is it a $p$-series? $\sum 1/n^p$ → converges if $p > 1$, diverges if $p \leq 1$.

步骤 2 —— 是 $p$ 级数吗?$\sum 1/n^p$ → $p > 1$ 时收敛,$p \leq 1$ 时发散。

Step 3 — Does it alternate? Try the Alternating Series Test.

步骤 3 —— 是否交错?尝试交错级数判别法

Step 4 — Factorials or exponentials? Try the Ratio Test.

步骤 4 —— 含阶乘或指数?尝试比值判别法

Step 5 — Looks like a known series? Try Direct or Limit Comparison.

步骤 5 —— 与已知级数相似?尝试比较判别法或极限比较判别法

Step 6 — None of the above? Try the Integral Test.

步骤 6 —— 以上都不是?尝试积分判别法

Convergence Tests at a Glance
收敛判别法一览
Test判别法 Applies To适用对象 Conclusion结论
nth Term第 n 项 All series所有级数 Diverges if $\lim a_n \neq 0$ (only proves divergence)$\lim a_n \neq 0$ 时发散(只能判发散)
Geometric等比 $\sum ar^n$ Converges to $a/(1-r)$ if $|r| < 1$$|r| < 1$ 时收敛到 $a/(1-r)$
$p$-Series$p$ 级数 $\sum 1/n^p$ Converges if $p > 1$$p > 1$ 时收敛
Integral积分 Positive, decreasing $f(n)$正、单调递减的 $f(n)$ Same as $\int_1^{\infty} f(x)\,dx$与 $\int_1^{\infty} f(x)\,dx$ 同性质
Direct Comparison比较 Positive series正项级数 Bounded by convergent → converges被收敛级数控制 → 收敛
Limit Comparison极限比较 Positive series正项级数 Limit is finite & positive → same behavior极限有限且为正 → 同收敛或同发散
Alternating Series交错级数 $\sum (-1)^n b_n$ Converges if $b_n$ decreasing → $0$$b_n$ 递减且 → $0$ 时收敛
Ratio比值 All series所有级数 $L < 1$ converges; $L > 1$ diverges; $L = 1$ inconclusive$L < 1$ 收敛;$L > 1$ 发散;$L = 1$ 不能判断

How Unit 10 Appears on the AP Exam

单元 10 在 AP 考试中的考查形式

MC
MCQ — Common Question Styles选择题 —— 常见题型

Determine convergence/divergence of a given series using the appropriate test.

判断收敛/发散:对给定级数使用合适的判别法。

Find the sum of a geometric or telescoping series.

求和:等比级数或裂项相消级数的和。

Find the interval of convergence of a power series using the ratio test + endpoint checks.

求幂级数的收敛区间:使用比值判别法并检验端点。

Identify the Taylor or Maclaurin series for a function, or match a series to its function.

识别:函数的泰勒或麦克劳林级数,或将级数与对应函数匹配。

Compute Taylor polynomial coefficients from given derivative values.

由给定导数值计算泰勒多项式系数。

FR
FRQ — Common Question Styles解答题 —— 常见题型

Series FRQ: Usually involves finding a Taylor polynomial from a table of derivatives, using it to approximate a value, and bounding the error.

级数解答题:通常给出导数值表,要求构造泰勒多项式、用它近似某值并估计误差界。

Deriving a new series from a known one via substitution, differentiation, or integration.

由已知级数推导新级数:通过代换、求导或积分。

Finding the interval of convergence with complete endpoint analysis.

求收敛区间:含完整的端点分析。

Using the Lagrange error bound or alternating series error bound to justify that an approximation is within a given tolerance.

使用拉格朗日误差界或交错级数误差界,论证近似值在给定容差内。

Top Mistakes That Lose Points 最常见的失分错误 1. Not verifying conditions for a convergence test (especially the AST). 1. 不验证收敛判别法的前提条件(尤其是交错级数判别法)。 2. Saying "by the nth Term Test, the series converges" — it only proves divergence! 2. 写“由第 n 项判别法级数收敛” —— 第 n 项判别法只能证明发散! 3. Forgetting to check endpoints when finding the interval of convergence. 3. 求收敛区间时忘记检验端点。 4. Confusing the Lagrange error bound with the alternating series error bound. 4. 混淆拉格朗日误差界与交错级数误差界。 5. Writing the general term of a Taylor series with the wrong factorial or exponent. 5. 泰勒级数通项的阶乘或指数写错。

Flashcards — Click to Flip

闪卡 —— 点击翻面

0 / 8 flipped已翻 0 / 8 张
Geometric Series Sum
$\displaystyle\sum_{n=0}^{\infty} ar^n = \;?$
等比级数和
$\displaystyle\sum_{n=0}^{\infty} ar^n = \;?$

$$ \frac{a}{1-r}, \quad |r| < 1 $$
nth Term Test:
If $\lim a_n \neq 0$, then…?
第 n 项判别法:
若 $\lim a_n \neq 0$,则……?

$$\lim a_n \neq 0 \;\Rightarrow\; \sum a_n \text{ diverges}$$
converse fails逆命题不成立
$p$-Series:
$\sum 1/n^p$ converges when…?
$p$ 级数:
$\sum 1/n^p$ 何时收敛?

$$\sum \frac{1}{n^p} \text{ converges} \iff p > 1$$
Ratio Test:
$L = \lim |a_{n+1}/a_n|$
What do the outcomes mean?
比值判别法:
$L = \lim |a_{n+1}/a_n|$
各结果的含义?

$L < 1$: converges absolutely
$L > 1$: diverges
$L = 1$: inconclusive
$L < 1$:绝对收敛
$L > 1$:发散
$L = 1$:不能判断
Maclaurin series for $e^x$?$e^x$ 的麦克劳林级数?

$$ \sum_{n=0}^{\infty} \frac{x^n}{n!} $$
Converges for all $x$.对所有 $x$ 收敛。
Maclaurin series for $\sin x$?$\sin x$ 的麦克劳林级数?

$$ \sum_{n=0}^{\infty} \frac{(-1)^n x^{2n+1}}{(2n+1)!} $$
Odd powers only, alternating signs.只含奇次幂,正负交替。
Alternating Series Error Bound?交错级数误差界?

$|S - S_n| \leq |a_{n+1}|$
Error ≤ the first omitted term.误差 ≤ 第一个被舍弃项。
Lagrange Error Bound formula?拉格朗日误差界公式?

$|R_n(x)| \leq \dfrac{M}{(n+1)!}|x-a|^{n+1}$
where $M = \max|f^{(n+1)}(c)|$其中 $M = \max|f^{(n+1)}(c)|$

Unit 10 — Practice Quiz

单元 10 —— 练习小测

1. Which series converges?1. 下列级数中哪一个收敛?
$\displaystyle\sum_{n=1}^{\infty} \frac{1}{\sqrt{n}}$
$\displaystyle\sum_{n=1}^{\infty} \frac{1}{n}$
$\displaystyle\sum_{n=1}^{\infty} \frac{1}{n^2}$
$\displaystyle\sum_{n=1}^{\infty} \frac{n}{n+1}$
Correct! $\sum 1/n^2$ is a $p$-series with $p = 2 > 1$, so it converges. The others all diverge: $1/\sqrt{n}$ is $p = 1/2$, $1/n$ is harmonic, and $n/(n+1) \to 1 \neq 0$.正确!$\sum 1/n^2$ 是 $p = 2 > 1$ 的 $p$ 级数,故收敛。其余均发散:$1/\sqrt{n}$ 是 $p = 1/2$;$1/n$ 是调和级数;$n/(n+1) \to 1 \neq 0$。
$\sum 1/n^2$ is a $p$-series with $p = 2 > 1$, so it converges. All other options diverge.$\sum 1/n^2$ 是 $p = 2 > 1$ 的 $p$ 级数,因此收敛。其余选项都发散。
2. What is $\displaystyle\sum_{n=0}^{\infty} \frac{(-3)^n}{4^n}$?2. $\displaystyle\sum_{n=0}^{\infty} \frac{(-3)^n}{4^n}$ 等于多少?
$\frac{3}{7}$
$\frac{4}{3}$
$\frac{3}{4}$
$\frac{4}{7}$
Correct! This is geometric: $\sum (-3/4)^n$ with $a = 1$, $r = -3/4$. Sum $= 1/(1 - (-3/4)) = 1/(7/4) = 4/7$.正确!这是等比级数:$\sum (-3/4)^n$,$a = 1$,$r = -3/4$。和 $= 1/(1 - (-3/4)) = 1/(7/4) = 4/7$。
Rewrite as $\sum (-3/4)^n$, geometric with $a = 1$, $r = -3/4$. Sum $= 1/(1+3/4) = 4/7$.改写为 $\sum (-3/4)^n$,是 $a = 1$、$r = -3/4$ 的等比级数。和 $= 1/(1+3/4) = 4/7$。
3. The series $\displaystyle\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n}$ is:3. 级数 $\displaystyle\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n}$ 是:
Conditionally convergent条件收敛
Absolutely convergent绝对收敛
Divergent发散
Cannot be determined无法判断
Correct! The alternating harmonic series converges by the AST, but $\sum 1/n$ (harmonic) diverges. So it converges conditionally, not absolutely.正确!交错调和级数由交错级数判别法收敛,但 $\sum 1/n$(调和级数)发散,因此是条件收敛而非绝对收敛。
The series converges by the AST, but $\sum |a_n| = \sum 1/n$ diverges. This is the definition of conditional convergence.级数由交错级数判别法收敛,但 $\sum |a_n| = \sum 1/n$ 发散。这正是条件收敛的定义。
4. The coefficient of $x^3$ in the Maclaurin series for $\sin x$ is:4. $\sin x$ 的麦克劳林级数中 $x^3$ 的系数为:
$\frac{1}{3}$
$-\frac{1}{6}$
$\frac{1}{6}$
$-\frac{1}{3}$
Correct! $\sin x = x - x^3/3! + \cdots = x - x^3/6 + \cdots$, so the coefficient of $x^3$ is $-1/6$.正确!$\sin x = x - x^3/3! + \cdots = x - x^3/6 + \cdots$,故 $x^3$ 的系数为 $-1/6$。
$\sin x = x - x^3/3! + x^5/5! - \cdots$, so the $x^3$ coefficient is $-1/3! = -1/6$.$\sin x = x - x^3/3! + x^5/5! - \cdots$,故 $x^3$ 的系数为 $-1/3! = -1/6$。
5. The interval of convergence of $\displaystyle\sum_{n=0}^{\infty} \frac{x^n}{n+1}$ is:5. $\displaystyle\sum_{n=0}^{\infty} \frac{x^n}{n+1}$ 的收敛区间为:
$(-1, 1)$
$(-1, 1]$
$[-1, 1)$
$[-1, 1]$
Correct! Ratio test gives $R = 1$, so the open interval is $(-1, 1)$. At $x = 1$: $\sum 1/(n+1) =$ harmonic → diverges. At $x = -1$: $\sum (-1)^n/(n+1) =$ alternating harmonic → converges. So the interval is $[-1, 1)$.正确!比值判别法给出 $R = 1$,故开区间为 $(-1, 1)$。$x = 1$ 时:$\sum 1/(n+1)$ 是调和级数 → 发散。$x = -1$ 时:$\sum (-1)^n/(n+1)$ 是交错调和级数 → 收敛。所以收敛区间为 $[-1, 1)$。
Ratio test: $R = 1$. At $x = 1$: harmonic (diverges). At $x = -1$: alternating harmonic (converges). Interval: $[-1, 1)$.比值判别法:$R = 1$。$x = 1$ 时为调和级数(发散);$x = -1$ 时为交错调和级数(收敛)。区间为 $[-1, 1)$。

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