Intuition What this page is
The parent note taught the two tools (comparison — DCT and LCT). This page is the firing range : we list every kind of situation those tools have to handle, then shoot down one example per situation. When you finish, no exam integral should look unfamiliar.
Before anything, a tiny reminder of the alphabet so no symbol arrives unannounced:
Definition The symbols we will reuse
∫ a ∞ f d x means "the total signed area under the curve y = f ( x ) from x = a rightward forever," computed as lim t → ∞ ∫ a t f d x . If that limit is a plain finite number we say converges ; if it runs to ∞ (or has no limit) we say diverges .
f is the hard function we care about; g is the easy benchmark we compare against (almost always a power x − p or an exponential e − x ).
DCT (Direct Comparison): needs an honest inequality 0 ≤ f ≤ g .
LCT (Limit Comparison): needs the ratio L = lim x → ∞ f / g with 0 < L < ∞ .
p is the exponent in the benchmark x − p : it converges iff p > 1 .
Every improper-integral-comparison problem is one (or a blend) of these cells. Read the table first; each example below is tagged with the cell it kills.
Cell
What makes it that case
Weapon of choice
Example
A. Clean "+constant" tail
f is 1/ ( polynomial ) , dominant power obvious
DCT, bound above
Ex 1
B. Messy denominator (no clean inequality)
roots + powers mixed, e.g. x + x
LCT
Ex 2
C. Bounded wiggle in numerator
sin , cos trapped in [ − 1 , 1 ]
DCT after trapping numerator
Ex 3
D. Slow-growing helper (ln )
ln x beats/loses to powers
DCT, direction from ln x < x
Ex 4
E. Exponential benchmark
e − x crushes any power
DCT with g = e − x
Ex 5
F. Sign-changing f
f not ≥ 0 ; DCT proof breaks
absolute comparison $
f
G. Degenerate LCT limit L = 0 or L = ∞
benchmark mismatched
one-way LCT, then fix
Ex 7
H. Type-2 (blow-up at a finite point)
singularity, not ∞
DCT near the bad point
Ex 8
I. Word problem / real world
probability, physics tail
translate → compare
Ex 9
J. Exam twist (looks convergent, isn't — or vice versa)
first instinct wrong
forecast then verify
Ex 10
The figure below is the mental picture behind every cell: your curve trapped between benchmarks.
Ex 1. Does ∫ 1 ∞ x 3 + 2 x + 7 d x converge?
Forecast (guess first!): the denominator grows like x 3 , and ∫ x − 3 has p = 3 > 1 … so guess convergent . Let's prove it.
Step 1 — spot the dominant power. Why this step? For huge x , the + 2 x + 7 is dust next to x 3 ; the tail behaves like 1/ x 3 . This tells us the benchmark g = 1/ x 3 .
Step 2 — get the inequality in the right direction. Since x 3 + 2 x + 7 > x 3 for all x ≥ 1 (we only added positive stuff), taking reciprocals flips the inequality:
0 ≤ x 3 + 2 x + 7 1 < x 3 1 .
Why bound above ? We want to prove convergence , and "small ≤ convergent ⇒ convergent" is the useful direction (mnemonic: squeeze to please ).
Step 3 — invoke the benchmark. ∫ 1 ∞ x − 3 d x converges because p = 3 > 1 . By DCT, our integral converges . ✅
Verify: sanity-check the benchmark value: ∫ 1 ∞ x − 3 d x = [ − 2 x − 2 ] 1 ∞ = 2 1 , a finite number. Our area is below 2 1 , so certainly finite. Consistent.
Ex 2. Does ∫ 1 ∞ 2 x + 3 x d x converge?
Forecast: dominant term downstairs is 3 x (grows faster than x ), so f ∼ 3 x 1 , which behaves like 1/ x (p = 1 ) — guess divergent .
Step 1 — pick g = 1/ x . Why LCT and not DCT? Because 2 x + 3 x isn't a single clean power; forcing a DCT inequality is fiddly. LCT lets us just match dominant terms.
Step 2 — compute the ratio limit.
L = lim x → ∞ 1/ x 1/ ( 2 x + 3 x ) = lim x → ∞ 2 x + 3 x x .
Step 3 — divide top and bottom by x . Why this step? It exposes the limit by killing the growing terms:
L = lim x → ∞ 2 x − 1/2 + 3 1 = 0 + 3 1 = 3 1 .
Step 4 — read the verdict. 0 < L = 3 1 < ∞ , so f and g = 1/ x share the same fate . Since ∫ 1 ∞ x − 1 d x diverges (p = 1 ), our integral diverges . ❌
Verify: the constant 3 1 is finite and positive — exactly the regime where LCT's clean two-way conclusion is valid. Good.
Ex 3. Does ∫ 1 ∞ x 3/2 3 + cos x d x converge?
Forecast: cos x just wiggles between − 1 and 1 ; the "size" is set by 1/ x 3/2 , and p = 2 3 > 1 — guess convergent .
Step 1 — trap the numerator. Why? cos x has no limit, so we can't take a ratio; instead we bound it. Since − 1 ≤ cos x ≤ 1 :
2 ≤ 3 + cos x ≤ 4.
Step 2 — divide by the positive x 3/2 (inequality direction preserved):
0 ≤ x 3/2 3 + c o s x ≤ x 3/2 4 .
Why bound above? Proving convergence → squeeze under a convergent benchmark.
Step 3 — benchmark. ∫ 1 ∞ 4 x − 3/2 d x converges (p = 2 3 > 1 ; constant 4 doesn't matter). By DCT, converges . ✅
Verify: ∫ 1 ∞ 4 x − 3/2 d x = 4 ⋅ [ − 1/2 x − 1/2 ] 1 ∞ = 4 ⋅ 2 = 8 , finite. Our area sits below 8 . Consistent.
Ex 4. Does ∫ 2 ∞ x ln x d x converge?
Forecast: careful — ln x grows , so x l n x is bigger than x 1 . Since ∫ 1/ x diverges, and we're above it… guess divergent .
Step 1 — get the inequality. For x ≥ e (certainly for x ≥ 3 ), ln x ≥ 1 , so
x l n x ≥ x 1 .
Why bound below ? We suspect divergence, and "big ≥ divergent ⇒ divergent" is the useful direction (push to die ).
Step 2 — handle the small window [ 2 , 3 ] . Why? On [ 2 , 3 ] the function is continuous and finite, contributing a finite bounded chunk; convergence is decided only by the infinite tail, so it's safe to start comparing from x = 3 .
Step 3 — benchmark. ∫ 3 ∞ x − 1 d x diverges, and our function lies above it, so by DCT diverges . ❌
Verify: compute directly, ∫ 2 t x l n x d x = [ 2 ( l n x ) 2 ] 2 t = 2 ( l n t ) 2 − ( l n 2 ) 2 → ∞ . Divergence confirmed exactly.
Ex 5. Does ∫ 0 ∞ x 2 e − x d x converge?
Forecast: exponentials crush polynomials, so x 2 e − x → 0 fast — guess convergent .
Step 1 — pick g = e − x /2 . Why this benchmark and not a power? A power x − p can't dominate x 2 e − x — but e − x decays faster than any power, so a slightly weaker exponential e − x /2 still swallows the polynomial factor and is trivially integrable.
Step 2 — build the inequality. For large x , x 2 e − x = x 2 e − x /2 ⋅ e − x /2 , and x 2 e − x /2 → 0 , so it is ≤ 1 once x ≥ X 0 . Then
0 ≤ x 2 e − x ≤ e − x /2 ( x ≥ X 0 ) .
Step 3 — benchmark. ∫ 0 ∞ e − x /2 d x = 2 converges. The finite window [ 0 , X 0 ] contributes a bounded, continuous chunk. By DCT, converges . ✅
Verify: this is the Gamma integral ∫ 0 ∞ x 2 e − x d x = Γ ( 3 ) = 2 ! = 2 , a clean finite number. Convergence confirmed with exact value 2 .
Ex 6. Does ∫ 1 ∞ x 2 sin x d x converge?
Forecast: sin x is negative half the time, so DCT's "f ≥ 0 " rule is broken. But ∣ sin x ∣ ≤ 1 , so the size is ≤ 1/ x 2 — guess (absolutely) convergent .
Step 1 — switch to absolute value. Why? DCT's proof needs an increasing area function, which requires f ≥ 0 . With sign changes, compare ∣ f ∣ instead (see Absolute vs conditional convergence ):
x 2 s i n x = x 2 ∣ s i n x ∣ ≤ x 2 1 .
Step 2 — benchmark on ∣ f ∣ . ∫ 1 ∞ x − 2 d x converges, so by DCT ∫ 1 ∞ x 2 s i n x d x converges .
Step 3 — upgrade to the original. Why does absolute convergence give ordinary convergence? Because "absolutely convergent ⇒ convergent" — the positive and negative pieces are each finite, so their difference is finite. Thus ∫ 1 ∞ x 2 s i n x d x converges . ✅
Verify: the tail is bounded: ∫ 1 ∞ x 2 s i n x d x ≤ ∫ 1 ∞ x 2 1 d x = 1 . Finite bound confirms convergence.
Ex 7. Does ∫ 1 ∞ x 3 ln x d x converge, tested via a naive LCT?
Forecast: ln x grows so slowly it barely matters against x 3 — guess convergent , but watch the LCT trap.
Step 1 — try the naive benchmark g = 1/ x 3 .
L = lim x → ∞ 1/ x 3 ( l n x ) / x 3 = lim x → ∞ ln x = ∞.
Why is this a problem? LCT's clean two-way rule needs 0 < L < ∞ . Here L = ∞ , so we only get the one-way implication: if g diverged , we'd learn nothing useful. Since g converges , L = ∞ gives no conclusion — dead end.
Step 2 — fix by choosing a slightly weaker benchmark g = 1/ x 2 . Why x − 2 ? We want to absorb the slow ln x into spare decay. Since ln x ≤ x 1/2 for large x (any power of x beats ln x ):
x 3 l n x ≤ x 3 x 1/2 = x 5/2 1 .
Step 3 — benchmark. ∫ 1 ∞ x − 5/2 d x converges (p = 2 5 > 1 ). By DCT, converges . ✅
Verify: direct integration by parts gives ∫ 1 ∞ x 3 l n x d x = 4 1 (finite). Convergence confirmed; the exact value is 4 1 .
Ex 8. Does ∫ 0 1 x + x 2 d x converge?
Forecast: the trouble is at x = 0 (see Improper integrals — infinite discontinuities (type 2) ), where x → 0 makes the integrand blow up. Near 0 , x dominates x 2 , so f ∼ 1/ x = x − 1/2 . The p-test near a singularity says ∫ 0 1 x − p d x converges iff p < 1 . Here p = 2 1 < 1 — guess convergent .
Step 1 — locate the singularity. Why? Comparison must happen where the integrand misbehaves — here x → 0 + , not ∞ .
Step 2 — inequality near 0 . For 0 < x ≤ 1 , x + x 2 > x , so
0 ≤ x + x 2 1 < x 1 .
Why above? Proving convergence → squeeze under a convergent benchmark.
Step 3 — benchmark for a type-2 endpoint. ∫ 0 1 x − 1/2 d x = [ 2 x ] 0 1 = 2 , finite (converges since p = 2 1 < 1 ). By DCT, converges . ✅
Verify: benchmark value 2 is finite; our integrand is smaller, so its integral is below 2 . Consistent.
Ex 9. A radioactive sensor emits a signal whose power tail after time x ≥ 1 seconds is P ( x ) = x 2 + x 1 watts. Does the total emitted energy ∫ 1 ∞ P ( x ) d x (in joules) stay finite?
Forecast: a 1/ x 2 -ish tail decays fast; finite energy is physically sensible — guess convergent (finite energy) .
Step 1 — identify the dominant behaviour. For large x , x 2 + x ∼ x 2 , so P ∼ 1/ x 2 ; benchmark g = 1/ x 2 .
Step 2 — inequality. Since x 2 + x > x 2 ,
0 ≤ x 2 + x 1 < x 2 1 .
Step 3 — benchmark. ∫ 1 ∞ x − 2 d x = 1 converges, so by DCT the energy converges (finite) . ✅
Verify (exact, because we can here): partial fractions x 2 + x 1 = x 1 − x + 1 1 gives ∫ 1 ∞ = [ ln x + 1 x ] 1 ∞ = 0 − ln 2 1 = ln 2 ≈ 0.693 joules. Finite — matches our forecast, and indeed below the benchmark 1 .
Ex 10. Does ∫ 2 ∞ x ln x d x converge?
Forecast (the trap): it looks like 1/ x something > 1 since there's an extra ln x downstairs pushing it smaller — many students guess convergent . Be suspicious.
Step 1 — why comparison to a power fails cleanly. Try g = 1/ x : L = lim 1/ x 1/ ( x l n x ) = lim l n x 1 = 0 . LCT with L = 0 only gives one-way info and g diverges, so no conclusion — the twist is real.
Step 2 — integrate directly with substitution. Why? When comparison stalls, evaluate. Let u = ln x , so d u = x d x :
∫ x l n x d x = ∫ u d u = ln ∣ u ∣ = ln ( ln x ) .
Step 3 — take the limit.
∫ 2 t x l n x d x = ln ( ln t ) − ln ( ln 2 ) t → ∞ ∞.
Because ln ( ln t ) → ∞ (slowly, but surely), the integral diverges . ❌ The extra ln x was not enough to tame it — instinct busted.
Verify: ln ( ln t ) is unbounded as t → ∞ , so the antiderivative has no finite limit. Divergence confirmed exactly.
Common mistake The three traps this page drilled
Wrong inequality direction (Ex 1 vs Ex 4): below a divergent g proves nothing; above a convergent g proves nothing. Only squeeze under convergent or push over divergent .
L = 0 or L = ∞ in LCT (Ex 7, Ex 10): the two-way conclusion needs 0 < L < ∞ ; otherwise switch benchmark or integrate.
Forgetting f ≥ 0 (Ex 6): sign changes break DCT's proof — compare ∣ f ∣ and use absolute convergence.
"Power → DCT; mush → LCT; wiggle → trap; exp → beats all; ln → it's slow but sneaky; sign → absolute; near a blow-up → flip the p-rule (p < 1 )."
For ∫ 1 ∞ x 3 + 2 x + 7 d x , which benchmark and verdict? g = 1/ x 3 , bound above, converges (p = 3 > 1 ).
LCT on ∫ 1 ∞ 2 x + 3 x d x gives what L and verdict? L = 1/3 , same fate as 1/ x , diverges.
Why can't ∫ 2 ∞ x l n x d x be settled by LCT with g = 1/ x ? L = 0 (one-way only); integrate: antiderivative ln ( ln x ) → ∞ , diverges.
Near a type-2 singularity at 0 , when does ∫ 0 1 x − p d x converge? When p < 1 (opposite of the ∞ tail rule).
How do you handle ∫ 1 ∞ x 2 s i n x d x ? Compare ∣ f ∣ ≤ 1/ x 2 ; absolutely convergent ⇒ convergent.
Why use e − x /2 to dominate x 2 e − x ? x 2 e − x /2 → 0 , so the polynomial gets absorbed and e − x /2 is integrable.
Value of ∫ 0 ∞ x 2 e − x d x ? Γ ( 3 ) = 2 ! = 2 .
Value of ∫ 1 ∞ x 2 + x d x ? ln 2 ≈ 0.693 (converges, finite energy).