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Integral test for convergence

Integral test for convergence is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Integral test for convergence rather than just read about it. In short: In mathematics, the integral test for convergence is a method used to test infinite series of monotonic terms for convergence. It was developed by Colin Maclaurin and Augustin-Louis Cauchy and is sometimes known as the Maclaurin–Cauchy test.

Integral test for convergence — main illustration
Integral test for convergence — illustration

Key takeaways

  • Integral test for convergence belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Integral test for convergence to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Integral test for convergence from memory before moving on to harder problems.

Reference excerpt

In mathematics, the integral test for convergence is a method used to test infinite series of monotonic terms for convergence. It was developed by Colin Maclaurin and Augustin-Louis Cauchy and is sometimes known as the Maclaurin–Cauchy test.

Statement of the test Consider an integer N and a function f defined on the unbounded interval [N, ∞), on which it is monotonically decreasing. Then the infinite series

∑ n = N ∞ f ( n ) {\displaystyle \sum _{n=N}^{\infty }f(n)}

converges to a real number if and only if the improper integral

∫ N ∞ f ( x ) d x {\displaystyle \int _{N}^{\infty }f(x)\,dx}

is finite. In particular, if the integral diverges, then the series diverges as well.

Remark If the improper integral is finite, then the proof also gives the lower and upper bounds

for the infinite series. Note that if the function f ( x ) {\displaystyle f(x)} is increasing, then the function − f ( x ) {\displaystyle -f(x)} is decreasing and the above theorem applies. Many textbooks require the function f {\displaystyle f} to be positive, but this condition is not really necessary, since when f {\displaystyle f} is negative and decreasing both ∑ n = N ∞ f ( n ) {\displaystyle \sum _{n=N}^{\infty }f(n)} and ∫ N ∞ f ( x ) d x {\displaystyle \int _{N}^{\infty }f(x)\,dx} diverge.

Proof The proof uses the comparison test, comparing the term f ( n ) {\displaystyle f(n)} with the integral of f {\displaystyle f} over the intervals [ n − 1 , n ) {\displaystyle [n-1,n)} and [ n , n + 1 ) {\displaystyle [n,n+1)} respectively. The monotonic function f {\displaystyle f} is continuous almost everywhere. To show this, let

D = { x ∈ [ N , ∞ ) ∣ f is discontinuous at x } {\displaystyle D=\{x\in [N,\infty )\mid f{\text{ is discontinuous at }}x\}}

For every x ∈ D {\displaystyle x\in D} , there exists by the density of Q {\displaystyle \mathbb {Q} } , a c ( x ) ∈ Q {\displaystyle c(x)\in \mathbb {Q} } so that c ( x ) ∈ [ lim y ↓ x f ( y ) , lim y ↑ x f ( y ) ] {\displaystyle c(x)\in \left[\lim _{y\downarrow x}f(y),\lim _{y\uparrow x}f(y)\right]} . Note that this set contains an open non-empty interval precisely if f {\displaystyle f} is discontinuous at x {\displaystyle x} . We can uniquely identify c ( x ) {\displaystyle c(x)} as the rational number that has the least index in an enumeration N → Q {\displaystyle \mathbb {N} \to \mathbb {Q} } and satisfies the above property. Since f {\displaystyle f} is monotone, this defines an injective mapping c : D → Q , x ↦ c ( x ) {\displaystyle c:D\to \mathbb {Q} ,x\mapsto c(x)} and thus D {\displaystyle D} is countable. It follows that f {\displaystyle f} is continuous almost everywhere. This is sufficient for Riemann integrability. Since f is a monotone decreasing function, we know that

f ( x ) ≤ f ( n ) for all x ∈ [ n , ∞ ) {\displaystyle f(x)\leq f(n)\quad {\text{for all }}x\in [n,\infty )}

and

f ( n ) ≤ f ( x ) for all x ∈ [ N , n ] . {\displaystyle f(n)\leq f(x)\quad {\text{for all }}x\in [N,n].}

Hence, for every integer n ≥ N,

and, for every integer n ≥ N + 1,

By summation over all n from N to some larger integer M, we get from (2)

… excerpt ends here. Continue reading the full article.

Illustrations

Integral test for convergence: The integral test applied to the harmonic series.  Since the area under the curve y = 1/x for x ∈ [1, ∞) is infinite, the total area of the rectangles must be infinite as well.
The integral test applied to the harmonic series. Since the area under the curve y = 1/x for x ∈ [1, ∞) is infinite, the total area of the rectangles must be infinite as well.

Worked examples

Example 1 — a first encounter with Integral test for convergence

Start with the simplest possible case. Write down what Integral test for convergence claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Integral test for convergence before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Integral test for convergence ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Integral test for convergence

In research
Integral test for convergence appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Integral test for convergence in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Integral test for convergence is common in secondary-school and first-year university syllabi. It links to neighbouring topics Augustin-Louis Cauchy, Convergence tests, Integral calculus, so understanding it makes those chapters shorter.
In everyday life
Look for Integral test for convergence outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Integral test for convergence in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Integral test for convergence means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Integral test for convergence out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Integral test for convergence in simple terms?

In mathematics, the integral test for convergence is a method used to test infinite series of monotonic terms for convergence. It was developed by Colin Maclaurin and Augustin-Louis Cauchy and is sometimes known as the Maclaurin–Cauchy test.

Why does Integral test for convergence matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Integral test for convergence?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Integral test for convergence.

Tags

  • Augustin-Louis Cauchy
  • Convergence tests
  • Integral calculus

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