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Basic Series Divergence · Tutorial 594 of 998

Classifying p-Series From Their Exponents

Learn how the exponent determines whether the nth-term test proves divergence or leaves a p-series undecided.

Beginner 9 min read

What You'll Learn

  • Define a p-series for any real exponent.
  • State the necessary term-limit condition for a series to converge.
  • Use the nth-term test to prove divergence when the exponent is zero or negative.
  • Explain why a positive exponent makes the terms tend to zero.
  • Distinguish a vanishing term from a convergent series.
  • Identify when further analysis is required.

Introduction

A p-series is a basic family of infinite series whose terms are powers of the positive integers. Its exponent has an immediate effect on the size of each term, so it is natural to ask whether that exponent alone can tell us if the series converges.

For some exponents, the answer is immediate: the terms fail a necessary condition for convergence, and the series must diverge. For other exponents, the terms do approach zero. That is necessary for convergence, but it does not settle the question. The distinction is central to using the nth-term test correctly.

Definition of a p-Series

Definition: For a real number \(p\), the p-series is the infinite series $$ \sum_{n=1}^{\infty}\frac{1}{n^p}. $$ Its \(n\)th term is \(a_n=\frac{1}{n^p}\), where \(n\in\mathbb{N}\). The exponent \(p\) is allowed to be any real number.

As with any infinite series, its convergence is defined through its partial sums. The \(N\)th partial sum is \(S_N=\sum_{n=1}^{N}1/n^p\). The series converges if the sequence of partial sums has a finite limit as \(N\) tends to infinity; otherwise it diverges.

To classify the cases with \(p\leq 0\), we will use the nth-term test. It does not require us to calculate the partial sums. Instead, it asks whether the individual terms approach zero.

Theorem (nth-term test for divergence): If the series \(\sum_{n=1}^{\infty}a_n\) converges, then \(\lim_{n\to\infty}a_n=0\). Consequently, if \(a_n\) does not tend to zero, the series diverges. If \(a_n\) does tend to zero, this test alone gives no conclusion about convergence.

Why the Term Condition Is Necessary

The necessary condition follows directly from the definition of convergence. Let \(S_N=\sum_{n=1}^{N}a_n\), and suppose \(S_N\) tends to a finite limit \(S\). For \(N\geq 2\), the \(N\)th term is the difference between two consecutive partial sums:

$$ a_N=S_N-S_{N-1}. $$

As \(N\) grows, both \(S_N\) and \(S_{N-1}\) tend to \(S\). Their difference therefore tends to \(S-S=0\). Thus a convergent series must have terms tending to zero. The contrapositive gives the divergence test: if the terms do not tend to zero, the series cannot converge.

The condition is one-way. If the terms do tend to zero, the theorem's hypothesis for proving divergence has not been met; it does not follow that the partial sums settle to a finite value.

Classifying Exponents at or Below Zero

Begin with \(p=0\). Since \(n^0=1\) for every positive integer \(n\), each term is equal to one. The terms do not tend to zero, so the nth-term test proves divergence. In fact, the partial sums are \(S_N=N\), which grow without bound.

Now suppose \(p<0\). Write \(q=-p\), so \(q>0\). The power rule gives \(1/n^p=n^{-p}=n^q\). As \(n\) increases, \(n^q\) grows without bound, rather than shrinking toward zero. Again, the nth-term test proves divergence.

Theorem: If \(p\leq 0\), the p-series \(\sum_{n=1}^{\infty}1/n^p\) diverges. When \(p=0\), its terms are constantly \(1\); when \(p<0\), its terms grow without bound. In both cases, the terms fail to tend to zero.

The argument for \(p<0\) uses the standard power behavior \(n^q\to\infty\) for \(q>0\). To see why, let \(M>0\) be any bound. For every integer \(n>M^{1/q}\), we have \(n^q>M\). Since this holds for every \(M\), the terms \(n^q\) grow without bound.

1
Check the exponent.
If \(p=0\), substitute into the term formula to obtain \(1/n^0=1\).
2
If the exponent is negative, reverse its sign in the power.
For \(p<0\), let \(q=-p>0\), so \(1/n^p=n^q\).
3
Test the term limit.
Constant terms equal to \(1\) and terms growing like \(n^q\) do not tend to zero, so the series diverges by the nth-term test.

Worked Examples

Worked Example: The p-Series with Exponent Zero

Classify \(\sum_{n=1}^{\infty}1/n^0\) using the nth-term test.

First simplify the \(n\)th term. For every positive integer \(n\), \(n^0=1\), so

$$ a_n=\frac{1}{n^0}=\frac{1}{1}=1. $$

For example, the first three terms are \(a_1=1/1^0=1\), \(a_2=1/2^0=1\), and \(a_3=1/3^0=1\). In general, the term sequence is constant, so \(\lim_{n\to\infty}a_n=1\), not zero. The nth-term test therefore proves that the series diverges.

As a check, its first \(N\) terms sum to \(S_N=1+1+\cdots+1=N\). These partial sums do not approach a finite limit, in agreement with the test.

Worked Example: A Negative Exponent

Classify \(\sum_{n=1}^{\infty}1/n^{-2}\).

Here \(p=-2<0\). Use the negative-exponent rule to rewrite the \(n\)th term:

$$ a_n=\frac{1}{n^{-2}}=n^2. $$

The first terms confirm the simplification: \(a_1=1^2=1\), \(a_2=2^2=4\), and \(a_3=3^2=9\). In general, \(a_n=n^2\) grows without bound as \(n\) tends to infinity, so it does not tend to zero. The nth-term test proves that the series diverges.

As a check on the direction of the exponent change, \(1/n^{-2}=1/(1/n^2)=n^2\), not \(1/n^2\). The terms grow rather than shrink, exactly as the negative exponent classification predicts.

Worked Example: A Positive Exponent the Test Cannot Decide

Apply the nth-term test to \(\sum_{n=1}^{\infty}1/n^{1/2}\).

For \(p=1/2>0\), the \(n\)th term is \(a_n=1/\sqrt{n}\). For example, \(a_1=1\), \(a_4=1/2\), and \(a_9=1/3\). To verify the term limit, take any \(\varepsilon>0\) and choose an integer \(N>\varepsilon^{-2}\). Whenever \(n\geq N\), we have \(\sqrt n>\varepsilon^{-1}\), and hence \(0<1/\sqrt n<\varepsilon\). Therefore \(\lim_{n\to\infty}a_n=0\).

The nth-term test does not prove divergence because the terms do tend to zero. It also does not prove convergence: its necessary condition has been satisfied, but the partial sums have not been analyzed. The correct conclusion from this test is inconclusive.

As a check, the computed terms at \(n=1,4,9\) are \(1,1/2,1/3\), respectively, matching \(1/\sqrt n\); the epsilon argument verifies their limit is zero. Neither calculation establishes convergence of the infinite series.

What Positive Exponents Tell Us—and What They Do Not

When \(p>0\), the denominator \(n^p\) grows without bound, so its reciprocal tends to zero. More explicitly, for any \(\varepsilon>0\), choose an integer \(N>\varepsilon^{-1/p}\). For \(n\geq N\), we have \(n^p>\varepsilon^{-1}\), and therefore \(0<1/n^p<\varepsilon\). This proves that the p-series terms tend to zero for every positive exponent.

This result settles the term-limit question, but not the convergence question. The nth-term test is a test for divergence when the terms fail to approach zero; it is not a general test that proves convergence when they do approach zero. Positive exponents therefore require further analysis of the partial sums or another suitable method. The value \(p=1\) is the harmonic series, a previously established example showing that vanishing terms do not guarantee convergence.

Takeaway: The exponent immediately decides the nth-term test when \(p\leq 0\): those p-series diverge because their terms do not approach zero. When \(p>0\), the terms approach zero, so this particular test gives no classification of the series.

A Common Mistake

A frequent error is to treat the condition \(\lim_{n\to\infty}a_n=0\) as if it proved that \(\sum a_n\) converges. For instance, the reasoning “in the harmonic series \(1/n\to0\), therefore \(\sum 1/n\) converges” is invalid. The term limit is zero, but the harmonic series diverges.

The correction is to use the nth-term test only in its valid direction. If the limit of the terms is not zero, divergence follows. If the limit is zero, the test is inconclusive and a separate analysis is needed. This distinction prevents the most tempting misuse of the test.

Why Classifying the Exponent Matters

Checking the exponent first is an efficient diagnostic. If \(p\leq0\), the term test gives a decisive result immediately; there is no need to search for a more elaborate argument. If \(p>0\), the same check confirms that the necessary term condition holds, but it also signals that more information is required.

This is a useful general habit in series problems: separate what can be concluded from the behavior of individual terms from what requires studying the accumulated partial sums. Individual terms describe the input to each addition. Convergence depends on the behavior of the sums as more and more terms are added. The two questions are related, but they are not identical.

Check Your Understanding

For each question, distinguish conclusions proved by the nth-term test from conclusions that require another argument.

  1. What is the \(n\)th term of a p-series when \(p=0\), and what does the nth-term test conclude?
  2. For \(p=-3\), rewrite \(1/n^p\) without a negative exponent and state whether the terms tend to zero.
  3. Why does \(\lim_{n\to\infty}1/n^p=0\) when \(p>0\) fail to prove that the p-series converges?
  4. If the terms of a series tend to zero, what conclusion does the nth-term test allow?
  5. For which exponents \(p\) does the nth-term test immediately prove divergence of the p-series?