Techniques of Integration
What you will be able to do
Given an integral, the learner can recognise which technique its structure calls for, apply integration by parts with a choice of
Orientation
When antidifferentiation does not come for free
The integral unit reduced
Each obstruction has its own technique. Parts inverts the product rule and shifts the differentiation from one factor to the other. Partial fractions splits a rational integrand into pieces the power and logarithm rules already reach. And an improper integral is defined as a limit of ordinary ones, which is what makes the question of convergence meaningful.
That last is not a formality.
Definition
What each technique requires
The canonical definition states the three techniques and the p-test. What follows is why each carries the conditions it does.
Why the choice of
The useful ordering is a rough hierarchy for
Why a logarithm is integrated by parts at all.
Why partial fractions needs a proper function. The decomposition writes a fraction as a sum of terms each of degree
Why the coefficients are determined. Clearing denominators turns the decomposition into an equality of polynomials, and two polynomials agree for all
Why an improper integral is defined rather than evaluated. A Riemann sum needs a bounded interval cut into finitely many pieces of finite height. With an unbounded interval there is no finite partition, and with an unbounded integrand no finite rectangle height. So
This is why
Why an interior singularity forces a split. The limit definition approaches the bad point from one side. A singularity inside the interval has two sides, each needing its own limit, and the integral converges only if both do. Integrating straight through applies the fundamental theorem where its hypothesis fails.
Why the p-test has two different thresholds. At infinity the integrand must decay fast enough, so large
Derivation
Integration by parts and the p-test
Integration by parts. Start from the product rule for differentiable
Integrate both sides over
Rearranging isolates one integral:
which in differential notation is
Immediate check. For
Differentiating the antiderivative
The p-test at infinity. For
The behaviour as
| integral | ||
|---|---|---|
| exponent positive, grows | diverges | |
| exponent negative, | converges to |
The excluded case
Verification of the convergent side. For
The p-test at zero. The same antiderivative, different endpoint:
Now
Verification. For
Procedure
Choosing the technique
Step 0 — check whether the integral is improper. Before any technique, ask two questions: is either limit infinite, and does the integrand blow up anywhere on the closed interval, endpoints included? A yes to either means the integral is defined as a limit, and Step 5 applies. Missing this is how a divergent integral acquires a finite answer.
Step 1 — try substitution. The cheapest method. Its signature is an inner function whose derivative appears as a factor, up to a constant. If it works, nothing else is needed.
Step 2 — for a product of unlike factors, use parts. The signature is a product whose factors come from different families: a power times an exponential, a power times a logarithm, a lone logarithm. Choose
| Integrand | ||
|---|---|---|
Apply
Step 3 — for a rational function, use partial fractions.
- Check it is proper: numerator degree strictly below denominator degree. If not, divide first.
- Factor the denominator completely.
- Write one term per factor, following the table in the definition.
- Clear denominators and solve, substituting each root isolates one coefficient at a time.
- Integrate term by term; linear denominators give logarithms.
Step 4 — verify by differentiating. Every antiderivative found by any method can be checked by differentiating it back to the integrand. This catches sign errors from parts and arithmetic errors in the coefficients, and costs a few seconds.
Step 5 — for an improper integral, replace the bad endpoint with a variable and take a limit.
- Unbounded interval:
. - Unbounded at an endpoint
: approach it, . - Unbounded at an interior point: split there first, then treat each piece separately. Both must converge, or the whole diverges.
Evaluate the proper integral in
Step 6 — use the p-test as a shortcut and a sanity check. For an integrand behaving like
Worked example
Five integrals, one of each kind
1. Parts with a power and an exponential:
No substitution is available, neither factor is the other's derivative. Take
Check: differentiating
The other choice. Taking
2. Parts on a lone logarithm:
Take
So the value is
Check: a midpoint sum.
The logarithm was chosen as
3. Partial fractions:
The integrand is proper, numerator degree 0, denominator degree 2, so decompose directly:
Substituting the roots isolates each coefficient: at
Verify the identity at
Integrating term by term:
Check: a midpoint sum returns.
4. A convergent improper integral:
The interval is unbounded, so this is notation for a limit:
Check: the partial values are
5. A divergent one:
which does not exist,
Compare case 4: both integrands tend to 0, and only
Example
Integrals worth recognising on sight
A repeated linear factor:
Three are parts, two are the decomposition, three are improper, and the improper ones split two to one between convergent and divergent for the same reason each time, the rate at which the integrand approaches its bad point. Reading that rate is what the p-test formalises.
Warning
Infinity is not a number to substitute
The most common error in this material is treating
The error. Writing
and then reporting
What is meant instead. The notation
which does not exist. The integral diverges. A conclusion, reached by evaluating a limit, not by substituting a symbol.
Why this matters beyond notation. The same habit applied where the limit does exist happens to give the right number, which is what keeps the error alive.
The interior singularity is worse, because the wrong answer looks fine. For
a negative number for an integrand that is positive everywhere it is defined. Two things went wrong at once: the theorem's hypothesis failed, since
Done correctly, the integral is split at 0 and each half evaluated as a limit. For the right half,
The check that catches it. Before applying the fundamental theorem, ask whether the integrand is unbounded anywhere on the closed interval. If it is, the integral is improper and needs a limit. And after any evaluation, ask whether the sign of the answer is possible given the sign of the integrand: a positive integrand cannot produce a negative integral, whatever the algebra says.
Non-example
Techniques applied where they do not help
Parts in the wrong direction. For
The identity is correct and the result is useless: the new integrand carries
Partial fractions on an improper fraction. Attempting
produces no solution: the right side has degree
Partial fractions where the denominator does not factor.
Substitution where no inner derivative is present. For
The contrast is
Concluding divergence from an unbounded integrand.
Concluding convergence from a vanishing integrand.
The two failures are mirror images, and together they are the reason the p-test is stated as a threshold rather than a rule of thumb.
Splitting that hides a divergence. For
Optional enrichment (1)
Application
Where these integrals actually arise
Probability densities are improper integrals. A continuous distribution's density must satisfy
A density that failed to converge could not be a density, so convergence is not a technicality here; it is what makes the object well defined.
Expectations too.
Integration by parts gives the moment relationships. Applying parts to
Parts is also the step that produces the integration-by-parts formula in probability,
Partial fractions solve linear differential equations. Separating variables in the logistic model
In control theory the inverse Laplace transform is carried out by decomposing a rational transfer function into partial fractions, each term inverting to an exponential, so the decomposition is what turns a frequency-domain expression back into a time-domain response.
Improper integrals define the transforms themselves. The Laplace transform
The threshold is the recurring idea. Whether a density normalises, whether a mean exists, whether a transform converges. Each is the same question about how fast a function approaches its bad point, answered by comparison with a power. The p-test is the smallest instance of a technique used throughout analysis.