Comprehensive study guide for Bocconi Math Module 2 (cod. 30063), General Exam.Source materials: Alice Sicconi's Proofs - Integral Calculus.pdf, Integral Calculus.pdf, lect{1..9}_calc_int*.pdf, TA41_calc_int{1,2}.pdf, General_24524_ENG_SOL.pdf, Final exercises solution.pdf.
§1. Overview & Exam Relevance
Integral Calculus is the third block of the first partial and accounts for approximately 18% of the general exam (typically 1 MCQ worth 5 pts and one open-ended question worth up to 20 pts — about 25 pts of the 150-pt exam). It is the topic where a correctly stated First Fundamental Theorem of Calculus (Theorem 1894) is often the single highest-yield 20-pt question on the whole paper.
Topic scope. The exam tests:
Riemann integration: partitions Π of [a,b], lower and upper Riemann sums I(f,Π),S(f,Π), lower and upper integrals, the integrability criterion (Theorem 1869), integrability of continuous functions (Theorem 1875);
Elementary properties of the definite integral: linearity, monotonicity, boundedness (Prop. 1884), absolute value inequality (Prop. 1883), and the Integral Mean Value Theorem (Theorem 1885);
The Fundamental Theorems of Calculus: Newton–Leibniz (Theorem 1894 — "state and prove" on May 2024 Q9), and the fact that F(x)=∫axf(t)dt is a primitive of a continuous f (Theorem 1899);
Antiderivatives / primitives: the indefinite integral ∫f(x)dx+C, linearity of primitives (Theorem 1903), integration by parts (Prop. 1905), integration by substitution (Prop. 1908);
Standard antiderivatives table: xa,1/x,ex,sinx,cosx,1/(1+x2),1/1−x2 and composition shortcuts;
Improper integrals of the first kind (infinite bounds) and second kind (unbounded integrand); convergence via the comparison criterion (Theorem 1932), asymptotic comparison (Theorem 1933 / 1928 monotonicity), and absolute convergence (Theorem 1937);
Cauchy principal valuePV∫−∞+∞f(x)dx — a symmetric limit that can converge even when the integral diverges;
Barrow–Torricelli's Theorem (2030): the bijection T:C01([a,b])↔C([a,b]) via differentiation / integration.
Typical MCQ pattern (from May 2024 General exam).
MCQ3 (Mode A) / MCQ2 (Mode B): "The improper integral ∫1+∞x3x+lnxdx is …" — asymptotically x3x+lnx∼x21 at +∞ so the integral is finite; moreover x3x+lnx≥x21 on [1,+∞) so by monotonicity of the improper integral (Theorem 1928), ∫1+∞x3x+lnxdx≥∫1+∞x21dx.
Part (a) — State and prove the First Fundamental Theorem of Calculus (Theorem 1894). This is the flagship proof of Integral Calculus and must be reproduced verbatim.
Part (b1) — Compute an antiderivative of f(x)=x2lnx: integrate by parts with f1′=x2,g1=lnx to get ∫x2lnxdx=3x3lnx−9x3+C.
Part (b2) — Compute ∫1ex2lnxdx=[3x3lnx−9x3]1e=92e3+91, invoking Theorem 1894.
Why this topic is high-leverage for the final partial.
The indicator ∫f′(s)ds shows up again in Mathematical Finance (continuous-compounding capital M(t)=1+∫0tf′(s)ds, Final exercises Q5).
The Riemann integral is the rigorous scaffolding for the expected value of a continuous random variable in Probability (since E[X]=∫RxfX(x)dx).
Improper integrals of the form ∫0+∞λe−λxdx underpin the exponential distribution.
§2. Definitions
2.1 Partition (subdivision) Π of [a,b]
A partition (or subdivision) Π of [a,b] is a finite set of points
Π={x0,x1,…,xn},a=x0<x1<x2<⋯<xn=b.
It breaks [a,b] into n sub-intervals [xi−1,xi] for i=1,…,n, each of length Δxi=xi−xi−1.
The mesh (or norm) of Π is ∣Π∣=maxiΔxi — the length of the largest sub-interval. We write Π∈π for the collection of all possible partitions of [a,b].
A partition Π′ is a refinement of Π if every point of Π is also a point of Π′ (i.e., Π⊆Π′). The union Π1∪Π2 of two partitions is always a refinement of both.
2.2 Tagged partition (ξ,Π)
A tagged partition is a pair (ξ,Π) where Π is a partition and ξ=(ξ1,…,ξn) is a choice of tags with ξi∈[xi−1,xi]. The tags will be evaluation points for the integrand.
Remark. In Sicconi's notation (and Marinacci's textbook), the lower and upper sums are defined via the infimum and supremum of f on each sub-interval — independent of any tag choice — so the tag drops out of the final Riemann integral. We still introduce the tagged notation because it is the standard setup for the Riemann sum ∑if(ξi)Δxi that appears in the proof of Theorem 1894 (FTC I).
2.3 Lower and upper Riemann sums I(f,Π), S(f,Π)
Let f:[a,b]→R be bounded. For a partition Π, define on each sub-interval
mi=infx∈[xi−1,xi]f(x),Mi=supx∈[xi−1,xi]f(x).
The lower (Riemann) sum and upper (Riemann) sum are
I(f,Π)=∑i=1nmi⋅Δxi,S(f,Π)=∑i=1nMi⋅Δxi.
Geometrically, for a positive f, I(f,Π) is the total area of the largest inscribed rectangles (heights mi) and S(f,Π) is the total area of the smallest circumscribed rectangles (heights Mi). One always has
I(f,Π)≤S(f,Π),I(f,Π)≤I(f,Π′)≤S(f,Π′)≤S(f,Π)whenever Π′ refines Π.
Refining a partition always gives a better approximation of the area.
2.4 Lower and upper integrals
Let f:[a,b]→R be bounded. The lower integral and upper integral of f on [a,b] are
∫abf(x)dx=supΠ∈πI(f,Π),∫abf(x)dx=infΠ∈πS(f,Π).
One always has ∫abf≤∫abf (Theorem 1857 below).
2.5 Riemann integrability and the Riemann integral
A bounded function f:[a,b]→R is Riemann-integrable on [a,b] if
∫abf(x)dx=∫abf(x)dx.
In that case the common value is the Riemann integral of f on [a,b]:
∫abf(x)dx=∫abf(x)dx=∫abf(x)dx.
We denote by R[a,b] the set of Riemann-integrable functions on [a,b]. It is a linear subspace of the space F([a,b]) of all real-valued functions on [a,b], and ∫ab⋅dx is a linear functional on it (the linearity property).
Counterexample (Dirichlet). The function f(x)=1 if x∈Q∩[a,b] and f(x)=0 otherwise is bounded but not Riemann-integrable: on every partition mi=0 and Mi=1, giving I(f,Π)=0 and S(f,Π)=b−a. So ∫abf=0=b−a=∫abf.
2.6 Oscillation on a sub-interval
The oscillation of f on [xi−1,xi] is Mi−mi=supf−inff≥0. Theorem 1869 recasts integrability as "oscillations can be made arbitrarily small in total length". For a continuous f, the Heine–Cantor theorem (uniform continuity on a compact set) controls the oscillation uniformly — that is the mechanism behind Theorem 1875.
2.7 Primitive (antiderivative) P
Let I be an interval (not necessarily closed). A function P:I→R is a primitive (or antiderivative) of f:I→R if
P is differentiable on I;
P′(x)=f(x) for every x∈I.
Theorem (uniqueness up to a constant). If P1,P2 are primitives of the same f on an interval I, then there exists K∈R with P2(x)=P1(x)+K for every x∈I.
Existence. If f is continuous on I, then f has primitives (this is essentially Theorem 1899). If f has a jump or eliminable discontinuity in I, f does not have primitives on I; essential discontinuities may or may not block primitivability.
2.8 Indefinite integral ∫f(x)dx+C
The indefinite integral of f is the family of all primitives:
∫f(x)dx=P(x)+C,C∈R,
where P is any single primitive of f. In the textbook the symbols ∫f(x)dx and "antiderivative" are used interchangeably, with the understanding that a constant of integration is always present.
2.9 Definite integral ∫abf(x)dx
The definite integral of a Riemann-integrable f on [a,b] is the number ∫abf(x)dx defined in §2.5. By convention:
∫baf(x)dx=−∫abf(x)dx,∫aaf(x)dx=0.
These conventions make the additivity with respect to the interval valid for any ordering:
∫acf+∫cbf=∫abf∀a,b,c∈I where f is integrable.
Crucial distinction. The definite integral is a number (depends on a, b, and f); the indefinite integral is a family of functions (depends only on f).
2.10 Positive / negative parts and signed integration
Every function decomposes as f(x)=f+(x)−f−(x), where f+(x)=max{f(x),0} (positive part) and f−(x)=−min{f(x),0}=max{−f(x),0} (negative part). Both f+,f− are non-negative. A bounded f is Riemann-integrable iff both f+,f− are, and then
∫abf(x)dx=∫abf+(x)dx−∫abf−(x)dx.
Geometrically this is the signed area — area above the x-axis minus area below.
2.11 Improper integral of the first kind (infinite bounds)
Let f:[a,+∞)→R be integrable on every [a,t]⊆[a,+∞). The improper integral of the first kind is
∫a+∞f(x)dx=limt→+∞∫atf(x)dx
provided the limit exists in R∪{±∞}. Symmetrically define ∫−∞b. If both bounds are infinite, split at any c:
∫−∞+∞f(x)dx=lims→−∞∫scf(x)dx+limt→+∞∫ctf(x)dx,with the two limits taken independently — both must exist and be finite (or at least not an indeterminate form +∞−∞) for the integral to make sense.
Convergence / divergence / oscillation.
Converges if the limit is a finite number L∈R.
Diverges to +∞ if the limit equals +∞; similarly to −∞.
Does not exist (oscillates, or yields an indeterminate form) otherwise — e.g., ∫−∞+∞(2x−3)dx gives +∞+(−∞), which does not exist.
2.12 Improper integral of the second kind (unbounded integrand)
Let f:[a,b)→R be integrable on every [a,t]⊆[a,b) but possibly unbounded as x→b−. The improper integral of the second kind is
∫abf(x)dx=limt→b−∫atf(x)dx.
Similarly for a singularity at the left endpoint, or at an interior point (split and take two separate limits).
Let f:R→R be integrable on every [−K,K]. The Cauchy principal value of ∫−∞+∞f(x)dx is
PV∫−∞+∞f(x)dx=limK→+∞∫−KKf(x)dx
provided this single symmetric limit exists. The definition uses one parameter K for both bounds.
Key fact. If the classical improper integral ∫−∞+∞f(x)dx converges, then its PV equals the classical value. However, the PV may exist even when the classical improper integral diverges — because the symmetric cancellation can kill a divergence. See Example 4.6 below (PV∫−∞+∞(2x−3)dx).
A similar PV definition applies at a finite singularity: PV∫abf=limε→0+(∫ac−ε+∫c+εb) with the same ε on both sides of an interior singularity c.
2.14 Integral function F(x)=∫axf(t)dt
Let f:[a,b]→R be integrable. The integral function of f with base point a is
F:[a,b]→R,F(x)=∫axf(t)dt.
(Here t is a dummy integration variable and x is the upper bound.) By convention F(a)=0.
Properties.
F is always Lipschitz continuous on [a,b] (and hence uniformly continuous): ∣F(x)−F(y)∣≤M∣x−y∣ where M=sup∣f∣. Proof sketch.∣F(x)−F(y)∣=∣∫yxfdt∣≤∫yx∣f∣dt≤M∣x−y∣ using the absolute-value property 1883.
If moreover f is continuous, then F is differentiable and F′(x)=f(x) (Theorem 1899, Second FTC) — so F is a primitive of f.
Geometric interpretation.F(x) is the signed area between the graph of f and the x-axis from a to x. Increasing x adds more area on the right.
§3. Theorems, Propositions & Proofs
3.1 Theorem 1857 — Lower and upper integrals are finite
Statement. Let f:[a,b]→R be positive and bounded on [a,b]. Then
(1) the lower and upper integrals ∫abf(x)dx and ∫abf(x)dx are both finite;
(2) ∫abf(x)dx≤∫abf(x)dx.
Source: Proofs - Integral Calculus.pdf p.1 (handwritten theorem 1857).
Proof.
f is positive and bounded, so there exists M>0 with 0≤f(x)≤M for every x∈[a,b]. For any subdivision Π={x0,…,xn} and every i, 0≤mi≤Mi≤M. Therefore
0=∑i=1n0⋅Δxi≤∑i=1nmi⋅Δxi≤∑i=1nMi⋅Δxi≤∑i=1nM⋅Δxi=M∑i=1nΔxi=M(b−a).
That is,
0 \;\le\; I(f, \Pi) \;\le\; S(f, \Pi) \;\le\; M(b - a) \qquad \forall\, \Pi \in \pi. \tag{$\ast$}
Taking supremum over Π in the first inequality of (∗):
0≤∫abf(x)dx=supΠ∈πI(f,Π)≤M(b−a)<+∞(finite).
Taking infimum over Π in the last inequality of (∗):
0≤∫abf(x)dx=infΠ∈πS(f,Π)≤M(b−a)<+∞(finite).
This proves (1).
For (2), suppose by contradiction that ∫abf>∫abf and set
δ:=∫abf(x)dx−∫abf(x)dx>0.
Using the properties of infimums and supremums, for any ε>0 (take ε=δ/2) there exist partitions Π′,Π′′ such that
I(f,Π′)>∫abf(x)dx−2δ,S(f,Π′′)<∫abf(x)dx+2δ.
Subtracting the two inequalities:
I(f,Π′)−S(f,Π′′)>(∫abf−2δ)−(∫abf+2δ)=∫abf−∫abf−δ=δ−δ=0.
Now consider the common refinement Π=Π′∪Π′′. Refinement monotonicity gives I(f,Π)≥I(f,Π′) and S(f,Π)≤S(f,Π′′). Combining:
I(f,Π)−S(f,Π)≥I(f,Π′)−S(f,Π′′)>0,
i.e., I(f,Π)>S(f,Π) — which is absurd since the lower sum never exceeds the upper sum. Therefore ∫abf≤∫abf. ■
Statement. Let f:[a,b]→R be bounded. Then f is Riemann-integrable on [a,b] if and only if for every ε>0 there exists a subdivision Π of [a,b] such that
S(f,Π)−I(f,Π)<ε.
Source: Proofs - Integral Calculus.pdf p.2 (handwritten theorem 1869).
Proof.
(⇒) Riemann integrability ⟹ existence of a partition with S−I<ε.
Assume f is Riemann-integrable, so ∫abf=∫abf. Fix ε>0 and set δ=ε/2>0. Using the properties of infimums and supremums, there exist partitions Π′,Π′′ with
I(f,Π′)>∫abf−δ,S(f,Π′′)<∫abf+δ.
Consider the common refinement Π=Π′∪Π′′. By refinement monotonicity, I(f,Π)≥I(f,Π′) and S(f,Π)≤S(f,Π′′). Hence
S(f,Π)−I(f,Π)≤S(f,Π′′)−I(f,Π′)<(∫abf+δ)−(∫abf−δ)==0∫abf−∫abf+2δ=2δ.The underbraced term is zero by integrability. With δ=ε/2, this gives S(f,Π)−I(f,Π)<ε. ✓
(⇐) Existence of such partitions for every ε>0⟹ Riemann integrability.
Assume: ∀ε>0, ∃ a partition Π of [a,b] with S(f,Π)−I(f,Π)<ε. For every Π:
∫abf≥I(f,Π),∫abf≤S(f,Π)
(by the sup / inf definitions). Therefore
∫abf−∫abf≤S(f,Π)−I(f,Π)<ε.
Since this holds for every ε>0 and the difference ∫abf−∫abf≥0 by Theorem 1857, we conclude
∫abf=∫abf,
i.e., f is Riemann-integrable. ■
3.3 Theorem 1875 — Every continuous function on [a,b] is Riemann-integrable
Statement. Every continuous function f:[a,b]→R is Riemann-integrable on [a,b].
Source: Proofs - Integral Calculus.pdf p.3 (handwritten theorem 1875).
Proof.
Because f is continuous on the compact interval [a,b]:
By the Heine–Cantor theorem, f is uniformly continuous on [a,b].
By the Weierstrass theorem, f attains a minimum and maximum on [a,b], hence f is bounded.
Fix ε>0. By uniform continuity there exists δ=δ(ε)>0 such that
∀x,y∈[a,b],∣x−y∣<δ⟹∣f(x)−f(y)∣<ε.
Choose a subdivision Π={x0,…,xn} of [a,b] with mesh ∣Π∣<δ. Then for every i and every x,y∈[xi−1,xi] we have ∣x−y∣≤Δxi≤∣Π∣<δ, so ∣f(x)−f(y)∣<ε.
Applying Weierstrass on each sub-interval [xi−1,xi] (a compact), f attains its min and max there:
Mi−mi=maxx∈[xi−1,xi]f(x)−minx∈[xi−1,xi]f(x)<ε.
We have shown: for every ε>0, there exists a partition Π with S(f,Π)−I(f,Π)<ε(b−a). To match the hypothesis of Theorem 1869 exactly, rescale: given any target ε∗>0, apply the above with ε′=ε∗/(b−a); we obtain a partition Π′ with S(f,Π′)−I(f,Π′)<ε′(b−a)=ε∗. By Theorem 1869, f is Riemann-integrable on [a,b]. ■
Remark. Other useful integrability criteria in the course (not proved here, but good to know):
If f is bounded on [a,b] and has a finite or countable number of discontinuities, then f is integrable.
If f is monotonic on [a,b], then f is integrable (monotonic functions have at most countably many discontinuities).
f unbounded on [a,b]⇒fnot Riemann-integrable (requires the improper framework).
3.4 Property 1883 — Absolute value property for definite integrals
Statement. Let f:[a,b]→R be integrable (so ∣f∣ is also integrable). Then
∫abf(x)dx≤∫ab∣f(x)∣dx.
Source: Proofs - Integral Calculus.pdf p.7 (handwritten theorem 1883).
Proof.
Since f(x)≤∣f(x)∣ and −f(x)≤∣f(x)∣ pointwise on [a,b], the monotonicity property (Prop. 1882) gives
∫abf(x)dx≤∫ab∣f(x)∣dx,∫ab(−f)(x)dx≤∫ab∣f(x)∣dx.
By linearity (homogeneity with α=−1), ∫ab(−f)=−∫abf, so the second inequality is
−∫abf(x)dx≤∫ab∣f(x)∣dx.
Together:
−∫ab∣f∣dx≤∫abfdx≤∫ab∣f∣dx⟺∫abfdx≤∫ab∣f∣dx.■
3.5 Property 1884 — Boundedness of the definite integral
Statement. Let f:[a,b]→R be integrable. If m=inf[a,b]f(x) and M=sup[a,b]f(x), then
m(b−a)≤∫abf(x)dx≤M(b−a).
Source: Proofs - Integral Calculus.pdf p.8 (handwritten theorem 1884).
Proof.
Since m≤f(x)≤M for every x∈[a,b], by the monotonicity property
∫abmdx≤∫abf(x)dx≤∫abMdx.
But ∫abmdx=m∫ab1dx=m⋅[x]ab=m(b−a), and similarly ∫abMdx=M(b−a). Therefore
m(b−a)≤∫abf(x)dx≤M(b−a).■
3.6 Theorem 1885 — Integral Mean Value Theorem
Statement. Let f:[a,b]→R be bounded and integrable, with m=inff and M=supf. Then:
(1) there exists λ∈[m,M] such that ∫abf(x)dx=λ(b−a);
(2) if moreover f is continuous on [a,b], then there exists c∈[a,b] with f(c)=λ, i.e.,
∫abf(x)dx=f(c)(b−a)for some c∈[a,b].
Source: Proofs - Integral Calculus.pdf p.9 (handwritten theorem 1885).
Proof of (1). By the boundedness property 1884, m(b−a)≤∫abf≤M(b−a). Divide by b−a>0:
m≤b−a∫abf(x)dx≤M.
Set λ:=b−a∫abf(x)dx. Then λ∈[m,M] and ∫abf(x)dx=λ(b−a) by construction.
Proof of (2). If f is continuous on [a,b], by the Intermediate Value Theoremf takes every value in [minf,maxf]=[m,M]. Since λ∈[m,M], there is c∈[a,b] with f(c)=λ. Substituting into (1):
∫abf(x)dx=f(c)(b−a).■
Why this matters. This is the engine of the proof of Theorem 1899 (Second FTC). The mean value λ is the "average height" of f; f(c)⋅(b−a) says there exists a horizontal line at height f(c) that encloses the same area under it as f does.
3.7 Theorem 1894 — First Fundamental Theorem of Calculus (Newton–Leibniz) ⭐
Statement. Let f:[a,b]→R. If
(1) f is integrable on [a,b], and
(2) f has primitives on [a,b] and P:[a,b]→R is one of them (so P′(x)=f(x) on [a,b]),
then
∫abf(x)dx=[P(x)]ab=P(b)−P(a).
Source: Proofs - Integral Calculus.pdf p.11 (handwritten theorem 1894).
⭐ This is the proof most likely to be requested on the exam (May 2024 Q9).
Proof.
Consider an arbitrary subdivision Π={x0,x1,…,xn} of [a,b] with a=x0<x1<⋯<xn=b.
Step 1 — Telescoping sum. Write P(b)−P(a) as a telescoping sum by inserting and cancelling all intermediate P(xi):
P(b)−P(a)=P(xn)−P(xn−1)+P(xn−1)−⋯−P(x1)+P(x1)−P(x0)=∑i=1n[P(xi)−P(xi−1)].All intermediate terms cancel in pairs: +P(xn−1)−P(xn−1)=0, etc.
Step 2 — Apply Lagrange's Mean Value Theorem on each sub-interval.P is a primitive of f, so P is differentiable on (xi−1,xi) and continuous on [xi−1,xi] for every i. By Lagrange's Mean Value Theorem, for each i∈{1,…,n} there exists ξi∈[xi−1,xi] such that
P′(ξi)=xi−xi−1P(xi)−P(xi−1).
Since P is a primitive of f, we have P′(ξi)=f(ξi). Rearranging:
P(xi)−P(xi−1)=f(ξi)(xi−xi−1)=f(ξi)Δxi.
Step 3 — Recognise the Riemann sum. Substituting into the telescoping sum:
P(b)−P(a)=∑i=1n[P(xi)−P(xi−1)]=∑i=1nf(ξi)Δxi.This is a Riemann sum for f: it is an approximation of the definite integral ∫abf(x)dx, sandwiched between the lower and upper sums. Indeed, for each i:
mi≤f(ξi)≤Mi⟹miΔxi≤f(ξi)Δxi≤MiΔxi,
and summing,
I(f,Π)≤∑i=1nf(ξi)Δxi≤S(f,Π).
Combined with Step 2:
I(f, \Pi) \;\le\; P(b) - P(a) \;\le\; S(f, \Pi) \qquad \forall\, \Pi \in \pi. \tag{$\star$}
Step 4 — Pass to the sup / inf. The value P(b)−P(a) does not depend on Π. Taking supremum over Π in the left inequality and infimum in the right inequality of (⋆):
supΠ∈πI(f,Π)≤P(b)−P(a)≤infΠ∈πS(f,Π),
i.e.,
∫abf(x)dx≤P(b)−P(a)≤∫abf(x)dx.
Step 5 — Conclude using integrability. By hypothesis f is integrable, so ∫abf=∫abf=∫abf. Squeezed between two equal quantities:
∫abf(x)dx=P(b)−P(a)=[P(x)]ab.■
Exam tip. When reproducing this proof, make sure you explicitly flag the three ingredients: (i) integrability of f so that upper = lower, (ii) primitivability so that P exists and is differentiable, (iii) Lagrange's MVT on each sub-interval to turn P-differences into f-values.
3.8 Theorem 1899 — Second Fundamental Theorem of Calculus
Statement. Let f:[a,b]→R be continuous. Then its integral function
F(x)=∫axf(t)dt
is a primitive of f on [a,b]: F is differentiable on [a,b] with
F′(x)=f(x)∀x∈[a,b].
Source: Proofs - Integral Calculus.pdf p.13 (handwritten theorem 1899). See also p.12 for the preliminary result that F is Lipschitz-continuous for any integrable f.
Proof.
Let x0∈[a,b]. We show F′(x0)=f(x0) by computing the right and left derivatives separately and showing they agree.
Right derivative (h>0). For x0,x0+h∈[a,b] with h>0:
F(x0+h)−F(x0)=∫ax0+hf(t)dt−∫ax0f(t)dt=∫x0x0+hf(t)dt.The last equality uses additivity with respect to the interval.
Since f is continuous on [x0,x0+h] (a compact sub-interval of [a,b]), by the Integral Mean Value Theorem (Theorem 1885, part 2), there exists c∈[x0,x0+h] with
∫x0x0+hf(t)dt=f(c)⋅h.
Hence
hF(x0+h)−F(x0)=hf(c)⋅h=f(c).
Take h→0+: c∈[x0,x0+h] forces c→x0+, and since f is continuous at x0, f(c)→f(x0). Therefore
F+′(x0)=limh→0+hF(x0+h)−F(x0)=limc→x0+f(c)=f(x0).
Left derivative (h<0). Repeat the procedure with h<0: using
F(x0+h)−F(x0)=−[F(x0)−F(x0+h)]=−∫x0+hx0f(t)dt,
and applying the Integral Mean Value Theorem on [x0+h,x0], there exists c∈[x0+h,x0] with
∫x0+hx0f(t)dt=f(c)⋅(−h).
Hence
hF(x0+h)−F(x0)=h−f(c)⋅(−h)=f(c),
and c→x0− as h→0−, so F−′(x0)=f(x0) by continuity.
Conclusion.F+′(x0)=F−′(x0)=f(x0), so F′(x0)=f(x0). Since x0∈[a,b] was arbitrary, F′(x)=f(x) on [a,b]. For the endpoints x0=a or x0=b, the one-sided limit is the relevant definition of the derivative. Therefore F is a primitive of f. ■
Corollary. If f is continuous on [a,b], then f has primitives on [a,b] — Theorem 1899 produces one explicitly.
3.9 Theorem 1903 — Linearity of primitives / indefinite integrals
Statement. Let I⊆R be an interval and f,g:I→R be functions that have primitives on I. Then for any α,β∈R, the linear combination αf+βg also has primitives on I, and
∫(αf+βg)(x)dx=α∫f(x)dx+β∫g(x)dx+Kfor some K∈R.
Source: Proofs - Integral Calculus.pdf p.15 (handwritten theorem 1903).
Proof.
Let Pf,Pg be primitives of f,g respectively on I, so Pf′=f and Pg′=g. Compute the derivative of the linear combination αPf+βPg:
[αPf(x)+βPg(x)]′=α[Pf(x)]′+β[Pg(x)]′=αf(x)+βg(x)=(αf+βg)(x).The first equality is the linearity of the derivative.
Therefore αPf+βPg is a primitive of αf+βg. Since any two primitives of the same function differ by a constant, we get
∫(αf+βg)(x)dx=αPf(x)+βPg(x)+K=α∫f(x)dx+β∫g(x)dx+K.■
Corollary (linearity of definite integrals). Combined with Theorem 1894, we obtain
∫ab[αf(x)+βg(x)]dx=α∫abf(x)dx+β∫abg(x)dx.
3.10 Proposition 1905 — Integration by parts
Statement. Let f,g:I→R be differentiable functions on an interval I. Then
∫f′(x)g(x)dx+∫f(x)g′(x)dx=f(x)g(x)+Kfor some K∈R,
equivalently,
∫f′(x)g(x)dx=f(x)g(x)−∫f(x)g′(x)dx.
Source: Proofs - Integral Calculus.pdf p.16 (handwritten).
Proof.
Start from the product rule (Leibniz) for the derivative:
[f(x)⋅g(x)]′=f′(x)g(x)+f(x)g′(x).
Integrate both sides on the interval I. The left-hand side integrates to a primitive of itself, so
f(x)⋅g(x)=∫[f′(x)g(x)+f(x)g′(x)]dx.
By linearity (Theorem 1903):
f(x)⋅g(x)=∫f′(x)g(x)dx+∫f(x)g′(x)dx+hfor some h∈R.
Setting K:=−h and rearranging:
f(x)⋅g(x)+K=∫f′(x)g(x)dx+∫f(x)g′(x)dx.■
Practical formula. The version used in practice is ∫f′gdx=fg−∫fg′dx. The strategy is to choose g (the factor to be differentiated, so g→g′) to be the one that becomes simpler after differentiation, and f′ (the factor to be integrated, so f′→f) to be the one with a known antiderivative. Use the LIATE heuristic (see M-IC-1 in §5).
3.11 Proposition 1908 — Integration by substitution
Statement. Let I,J⊆R be intervals. Assume
(1) f:I→R is continuous;
(2) ℓ:[c,d]⊆J→R is C(1), strictly increasing, with ℓ(c)=a and ℓ(d)=b (so ℓ([c,d])=[a,b]⊆I).
Then:
(i) ℓ is invertible on [c,d] with inverse ℓ−1, and c=ℓ−1(a), d=ℓ−1(b);
(ii) (f∘ℓ)⋅ℓ′:[c,d]→R is integrable;
(iii) the substitution formula holds:
∫abf(x)dx=∫cdf(ℓ(t))⋅ℓ′(t)dt=∫ℓ−1(a)ℓ−1(b)f(ℓ(t))⋅ℓ′(t)dt.
Source: Proofs - Integral Calculus.pdf p.17 (handwritten).
Proof.
(i)ℓ is strictly increasing, hence injective; on the domain [c,d] it is bijective onto its image [a,b], and so admits an inverse ℓ−1:[a,b]→[c,d]. From ℓ(c)=a and ℓ(d)=b we read off c=ℓ−1(a) and d=ℓ−1(b).
(ii) Consider the integral function
F(x)=∫axf(t)dt,x∈[a,b].
By the First FTC (Theorem 1894), ∫abf(x)dx=F(b)−F(a)=F(b) (since F(a)=0).
Applying the chain rule to F∘ℓ:
[F∘ℓ]′(t)=[F′∘ℓ](t)⋅ℓ′(t)=F′(ℓ(t))⋅ℓ′(t).
By the Second FTC (Theorem 1899) — which applies because f is continuous — F′(x)=f(x) on [a,b]. Substituting:
[F∘ℓ]′(t)=f(ℓ(t))⋅ℓ′(t)=(f∘ℓ)(t)⋅ℓ′(t).
This expression is integrable on [c,d]: f∘ℓ is continuous (composition of continuous functions), and ℓ′∈C([c,d]), so their product is continuous, hence integrable by Theorem 1875.
(iii) Apply the First FTC to the continuous integrand (f∘ℓ)⋅ℓ′ on [c,d], with primitive F∘ℓ:
∫cd(f∘ℓ)(t)⋅ℓ′(t)dt=[F∘ℓ]cd=F(ℓ(d))−F(ℓ(c))=F(b)−F(a)=F(b)=∫abf(x)dx.■
Mnemonic. The substitution x=ℓ(t) with dx=ℓ′(t)dt transforms the integral: "replace x by ℓ(t), and the measure dx by ℓ′(t)dt; change the bounds via ℓ−1." The strict monotonicity hypothesis guarantees the bounds are transported correctly (no folding). For a general substitution (not necessarily increasing), one has the same formula but with absolute value bars on ℓ′ if the domains overlap.
Indefinite version.∫f′(x)g[f(x)]dx=G[f(x)]+C, where G is an antiderivative of g — this is the most commonly used form on the exam, as a pattern-matching shortcut.
3.12 Theorem 1928 — Monotonicity of improper integrals
Statement. Let f,g:[a,+∞)→R be integrable on every [a,t]⊆[a,+∞), and assume f(x)≤g(x) on [a,+∞). Then
∫a+∞f(x)dx≤∫a+∞g(x)dx,
whenever both sides exist (possibly ±∞). In particular:
(1) if ∫a+∞g converges to a finite L, then ∫a+∞f≤L;
(2) if ∫a+∞f=+∞, then ∫a+∞g=+∞.
Source: Integral Calculus.pdf p.46 (Sicconi "Comparison Test") and Proofs - Integral Calculus.pdf p.19 (comparison criterion, Theorem 1932). Cited on May 2024 MCQ3 solution as "theorem 1928".
Proof.
For every t≥a, the (ordinary) definite-integral monotonicity (Prop. 1882) applied on [a,t] gives
∫atf(x)dx≤∫atg(x)dx.
Take t→+∞: if both limits exist (the hypothesis "integrable on every [a,t]" plus eventual positivity ensures monotone convergence gives a limit in [0,+∞]), then passing to the limit in the above inequality preserves ≤, yielding
∫a+∞f(x)dx≤∫a+∞g(x)dx.■
Application to May 2024 MCQ3 (Mode A). The integrand x3x+lnx is positive on [1,+∞). Asymptotically x3x+lnx∼x3x=x21 at +∞, so by asymptotic comparison the integral converges (since ∫1+∞x21dx=1 is finite). Moreover, on [1,+∞) we have lnx≥0, so x3x+lnx≥x3x=x21. By Theorem 1928,
∫1+∞x3x+lnxdx≥∫1+∞x21dx.Answer: D — "finite, but greater or equal than ∫1+∞x21dx".
3.13 Theorem 1932 — Comparison criterion for improper integrals
Statement. Let f,g:[a,+∞)→R be positive and integrable on every [a,b]⊆[a,+∞). Assume f(x)≤g(x) on [a,+∞). Then:
(1) if ∫a+∞g(x)dx=L≥0 is finite, then ∫a+∞f(x)dx=K≤L is also finite;
(2) if ∫a+∞f(x)dx=+∞, then ∫a+∞g(x)dx=+∞.
Source: Proofs - Integral Calculus.pdf p.19 (handwritten theorem).
Proof.
By the "existence of the improper integral" theorem for positive functions (integrability on every [a,t] plus positivity gives a monotone-increasing integral function that has a limit in [0,+∞]), both improper integrals ∫a+∞f and ∫a+∞g exist and are ≥0.
By the monotonicity theorem (Theorem 1928), since f≤g,
∫a+∞f(x)dx≤∫a+∞g(x)dx.
Therefore:
(1) If ∫a+∞g converges (to a finite L), then ∫a+∞f≤L<+∞ too, hence it converges.
(2) If ∫a+∞f=+∞, then ∫a+∞g≥+∞=+∞. ■
Statement. Let f,g:[a,+∞)→R be positive and integrable on every [a,b]⊆[a,+∞). Then:
(1) if f∼g as x→+∞ (i.e., limx→+∞f(x)/g(x)=1), then ∫a+∞f and ∫a+∞g have the same convergence behaviour: they both converge to positive numbers, or both diverge to +∞;
(2) if f=o(g) as x→+∞ (i.e., limx→+∞f/g=0), then:
(a) if ∫a+∞g=L≥0 finite, then ∫a+∞f=K≤L finite;
(b) if ∫a+∞f=+∞, then ∫a+∞g=+∞.
Source: Proofs - Integral Calculus.pdf p.20 (handwritten theorem 1933).
Proof.
(1) If f∼g, then limx→+∞f(x)/g(x)=1. By the definition of limit, for ε=1/2 there exists B>0 such that for every x≥B:
21≤g(x)f(x)≤23,
hence (since g>0):
21g(x)≤f(x)≤23g(x)∀x≥B.
By the comparison criterion (Theorem 1932) applied on [B,+∞) (and noting that the behaviour on the bounded [a,B] does not affect convergence at infinity):
If ∫B+∞23g=23∫B+∞g converges (so ∫B+∞g converges), then ∫B+∞f converges.
If ∫B+∞21g=21∫B+∞g diverges to +∞ (so ∫B+∞g diverges), then ∫B+∞f also diverges.
So ∫f and ∫g converge or diverge together.
(2) If f=o(g), then limf/g=0. For ε=1 there exists B>0 such that 0≤f(x)/g(x)≤1 for x≥B (using that f,g are positive, so the ratio is ≥0). Hence
0≤f(x)≤g(x)∀x≥B.
The conclusions (a), (b) follow directly from the comparison criterion. ■
Practical recipe. To determine if ∫a+∞f(x)dx converges for a positive f:
Find the leading asymptotic behaviour of f at +∞: usually f(x)∼C/xp for some p.
For a singularity at a finite endpoint (second kind), the harmonic rule flips: ∫011/xpdx converges iff p<1.
3.15 Theorem 1937 — Absolute convergence for improper integrals
Statement. Let f:[a,+∞)→R be integrable on every [a,b]⊆[a,+∞). If ∫a+∞∣f(x)∣dx converges (we say f is absolutely integrable), then ∫a+∞f(x)dx also converges, and
∫a+∞f(x)dx≤∫a+∞∣f(x)∣dx.
Source: Proofs - Integral Calculus.pdf p.22 (handwritten theorem 1937).
Proof.
Starting from the pointwise bound −∣f(x)∣≤f(x)≤∣f(x)∣, we have
0≤f(x)+∣f(x)∣≤2∣f(x)∣∀x.
Since ∫a+∞∣f∣ converges, so does ∫a+∞2∣f∣=2∫a+∞∣f∣. By the comparison criterion (applied to the non-negative function f+∣f∣ bounded above by 2∣f∣), ∫a+∞[f(x)+∣f(x)∣]dx also converges.
Writing f(x)=[f(x)+∣f(x)∣]−∣f(x)∣ (the ∣f∣'s cancel):
∫a+∞f(x)dx=∫a+∞[f(x)+∣f(x)∣]dx−∫a+∞∣f(x)∣dx,
which is a difference of two convergent integrals, hence converges.
For the inequality: −∣f(x)∣≤f(x)≤∣f(x)∣ combined with monotonicity gives −∫a+∞∣f∣≤∫a+∞f≤∫a+∞∣f∣, i.e.,
∫a+∞f(x)dx≤∫a+∞∣f(x)∣dx.■
Use case. Absolute convergence is the standard tool for oscillating integrands like ∫1+∞sinx/x2dx: since ∣sinx/x2∣≤1/x2, absolute convergence holds by comparison, hence the integral converges. Note the theorem is one-way: there is no comparable "absolute divergence" criterion.
3.16 Theorem 2030 — Barrow–Torricelli theorem
Statement. Let g:[a,b]→R with g(a)=0. The following are equivalent:
(1) g is continuously differentiable on [a,b] (i.e., g∈C0(1)([a,b]), where C0(1) means C(1) with value 0 at a);
(2) there exists a unique function γ:[a,b]→R, continuous on [a,b], such that
g(x)=∫axγ(t)dt∀x∈[a,b].
Consequently the map T:C0(1)([a,b])→C([a,b]) defined by T(g)=g′ is a bijection, with inverse T−1(γ)(x)=∫axγ(t)dt.
Source: Proofs - Integral Calculus.pdf p.14 (handwritten theorem 2030).
Proof.
(⇐) Assume there exists γ∈C([a,b]) with g(x)=∫axγ(t)dt for every x∈[a,b].
By the Second FTC (Theorem 1899, applied to the continuous γ), the integral function G(x):=∫axγ(t)dt is differentiable with G′(x)=γ(x). Since g=G, we have g′=γ.
g′=γ is continuous by hypothesis, so g∈C(1)([a,b]).
g(a)=∫aaγ=0✓.
Hence g∈C0(1)([a,b]).
(⇒) Assume g∈C0(1)([a,b]), so g is C(1) and g(a)=0. By the First FTC (Theorem 1894) applied to g′ on [a,x]:
g(x)−g(a)=∫axg′(t)dt⟹g(x)=∫axg′(t)dt,
since g(a)=0. Set γ:=g′∈C([a,b]). Then g(x)=∫axγ(t)dt. ✓
Uniqueness of γ. Suppose γ1,γ2∈C([a,b]) both satisfy g(x)=∫axγi(t)dt. By the Second FTC, g′=γ1 and g′=γ2, so γ1=γ2.
Bijectivity of T.
Injectivity. If T(g1)=T(g2)=γ, then both g1(x)=∫axγ and g2(x)=∫axγ (using gi∈C0(1) and the ⇒ direction), so g1=g2.
Surjectivity. For any γ∈C([a,b]), define g(x)=∫axγ(t)dt. Then g∈C0(1) by the ⇐ direction, and T(g)=g′=γ.
So T is a bijection with inverse T−1(γ)=∫a⋅γ(t)dt. ■
Interpretation. Differentiation and integration (with a fixed base point) are inverse operations on the appropriate function spaces. This is the conceptual core of the FTC and of the Newton–Leibniz identity.
§4. Worked Examples
Example 4.1 — Standard antiderivatives table
The table below summarises the essential antiderivatives that every student should know by heart. Each entry can be verified by differentiating the right-hand side (by the uniqueness theorem, if P′(x)=f(x) on an interval, then ∫fdx=P(x)+C). Source: Integral Calculus.pdf p.15.
Example 4.2 — Integration by parts on ∫x2lnxdx (May 2024 Q9)
Source: General_24524_ENG_SOL.pdf Q9. This is the flagship computation of integral calculus — the exam explicitly requires it.
Goal. Compute ∫x2lnxdx and then the definite integral ∫1ex2lnxdx.
Step 1 — Apply integration by parts. By the LIATE priority (see M-IC-1 in §5), we pick the logarithm as the factor to differentiate (highest priority) and the algebraic factor x2 as the factor to integrate:
Let g(x)=lnx (differentiate): g′(x)=1/x.
Let f′(x)=x2 (integrate): f(x)=x3/3.
Step 2 — Apply the formula ∫f′g=fg−∫fg′.∫x2lnxdx=fg3x3lnx−∫f3x3⋅g′x1dx=3x3lnx−∫3x2dx.
Step 3 — Compute the remaining integral.∫3x2dx=31⋅3x3+C=9x3+C.
Step 4 — Assemble.∫x2lnxdx=3x3lnx−9x3+C.
Step 5 — Definite integral from 1 to e (apply Theorem 1894, FTC I).∫1ex2lnxdx=[3x3lnx−9x3]1e.
Evaluate at x=e: lne=1, so
3e3⋅1−9e3=93e3−9e3=92e3.
Evaluate at x=1: ln1=0, so
31⋅0−91=−91.
Subtract (upper minus lower):
∫1ex2lnxdx=92e3−(−91)=92e3+91.
Sanity check.92e3≈92⋅20.09≈4.46 plus 91≈0.11 gives ≈4.58. The integrand x2lnx is positive on (1,e] and zero at x=1, with maximum value e2⋅1≈7.39 at x=e. On the interval of length e−1≈1.72, an average value around ≈2.67 gives area ≈4.58. ✓
Example 4.3 — Integration by substitution: ∫xex2dx
Source: Integral Calculus.pdf p.20 (shortcut version) and p.24 (substitution version).
Using the shortcut. Since (x2)′=2x, we have x=21⋅2x, so xex2=21(2x)ex2=21(x2)′⋅ex2. By the composition shortcut ∫f′(x)ef(x)dx=ef(x)+C:
∫xex2dx=21∫2x⋅ex2dx=21ex2+C.
Using substitution (mechanical). Let u=x2, so du=2xdx, i.e., xdx=21du. Substituting:
∫xex2dx=∫eu⋅21du=21eu+C=21ex2+C.✓
Lesson. Always try the composition shortcut first; substitution is the safety net when the shortcut is not obvious.
Example 4.4 — Partial fractions: ∫(x−1)(x+2)1dx
Adapted from Integral Calculus.pdf pp.21–22 (Sicconi's "Algebraic fractions").
Step 1 — Decompose. The denominator has two distinct linear factors. Write
(x−1)(x+2)1=x−1A+x+2B.
Step 2 — Find A and B. Multiply by (x−1)(x+2):
1=A(x+2)+B(x−1).
Domain note. On an interval not containing x=1 or x=−2, the argument of the log has constant sign and the absolute values can be dropped (with the sign chosen to make it positive).
Example 4.5 — Improper integral comparison: ∫1+∞x3x+lnxdx (May 2024 MCQ3)
Source: General_24524_ENG_SOL.pdf MCQ3.
Step 1 — Asymptotic behaviour at +∞. Since lnx=o(x), we have x+lnx∼x, hence
x3x+lnx∼x3x=x21as x→+∞.
Step 3 — Asymptotic comparison (Theorem 1933). The integrand is positive on [1,+∞) and ∼1/x2. So ∫1+∞x3x+lnxdxconverges (finite).
Step 4 — Direct comparison for the sharper bound. On [1,+∞) we have lnx≥0, so
x3x+lnx≥x3x=x21∀x≥1.
By Theorem 1928 (monotonicity of improper integrals):
∫1+∞x3x+lnxdx≥∫1+∞x21dx.
Conclusion. The integral is finite AND greater or equal to ∫1+∞1/x2dx. Answer D (Mode A) / C (Mode B). ✓
Example 4.6 — Principal value: PV∫−∞+∞(2x−3)dx (Final exercises Q4)
Source: Final exercises solution.pdf Q4.
Claim (a).∫−∞+∞(2x−3)dx=−∞? FALSE.
By definition, split at 0:
∫−∞+∞(2x−3)dx=lims→−∞∫s0(2x−3)dx+limt→+∞∫0t(2x−3)dx.
A primitive of 2x−3 is x2−3x. Compute each piece:
lims→−∞[x2−3x]s0=lims→−∞[0−(s2−3s)]=lims→−∞(−s2+3s)=−∞−∞=−∞,limt→+∞[x2−3x]0t=limt→+∞(t2−3t)=+∞.
Sum: −∞+(+∞), an indeterminate form. The classical improper integral does not exist — not −∞, not +∞, and not any finite number. Hence (a) is FALSE.
Claim (b).PV∫−∞+∞(2x−3)dx=0? FALSE.
By definition, the PV uses a single symmetric limit:
PV∫−∞+∞(2x−3)dx=limK→+∞∫−KK(2x−3)dx=limK→+∞[x2−3x]−KK.
Compute:
[x2−3x]−KK=(K2−3K)−(K2+3K)=−6K.
Take K→+∞: −6K→−∞. Hence
PV∫−∞+∞(2x−3)dx=−∞.
So (b) "=0" is FALSE.
Claim (c).PV∫−∞+∞(2x−3)dx=−∞? TRUE.
As computed in (b), the PV equals −∞. ✓
Instructive remark. Note the contrast:
For a pure odd function like f(x)=2x, the PV is 0 (the symmetric cancellation), while the classical integral ∫−∞+∞2xdx is indeterminate.
Here f(x)=2x−3 has an even part−3 that contributes ∫−KK(−3)dx=−6K→−∞. The odd part 2x cancels but the even part blows up, hence the PV diverges to −∞.
If a function is odd (so f(−x)=−f(x)), its PV is always 0 by symmetry. If it is even and integrable, its PV equals twice ∫0+∞f.
Example 4.7 — Continuous compounding via integral: M(t)=1+∫0tf′(s)ds (Final exercises Q5)
Source: Final exercises solution.pdf Q5.
Setup. A capital C=1 is available today (t=0). Let f(t) denote the future value at time t≥0, with f(0)=1. The instantaneous rate of change of capital (interest) is f′(t). The total interest accumulated between 0 and t is the area under f′(s):
I(t)=∫0tf′(s)ds.
By the First FTC (Theorem 1894), I(t)=f(t)−f(0)=f(t)−1. Hence the available amount of money at time t is
M(t)=C+I(t)=1+∫0tf′(s)ds.
Compute with f′(t)=(1.02)tln(1.02), t=2 years, C=1.
Notice that f′(t)=(1.02)tln(1.02) is exactly the derivative of (1.02)t (since dtd(1.02)t=(1.02)tln(1.02)). Hence a primitive is P(t)=(1.02)t:
M(2)=1+∫02(1.02)sln(1.02)ds=1+[(1.02)s]02=1+[(1.02)2−1]=(1.02)2=1.0404.
For C=100: scaling by 100, M(2)=100⋅(1.02)2=104.04.
Remark. This is precisely the discrete compounding formula M=C(1+r)t with r=0.02, t=2 — which should be! We have built it from the differential law f′(t)=f(t)ln(1+r) via the FTC.
Example 4.8 — ∫022t3et2dt with substitution + by parts (TA41)
Source: TA41_clac_int1.pdf Q3.
Use the substitution φ(t)=t2, so dφ=2tdt and the bounds t=0,2 become φ=0,4. Write 2t3=2t⋅t2=(2t)⋅φ:
∫022t3et2dt=∫02[2t⋅t2]et2dt=∫04φ⋅eφdφ.
Now integrate by parts on ∫φeφdφ with g(φ)=φ (differentiate), f′(φ)=eφ (integrate):
∫φeφdφ=φeφ−∫eφdφ=φeφ−eφ+C=eφ(φ−1)+C.
Each method is a named algorithm with Input → Steps → Output → Pitfalls, with cross-references to May 2024 / Final-exercises problems.
M-IC-1 — Integration by parts (LIATE priority)
Used on: May 2024 Q9 (antiderivative of x2lnx), TA41 Q3, any product of "incompatible" factors.
Input. An integral ∫u(x)⋅v(x)dx where u,v are differentiable, and no shortcut applies.
Steps.
LIATE heuristic — choose g= the factor whose type comes earliest in this priority list (so that g→g′ simplifies it), and f′= the remaining factor (which must have a known antiderivative):
Logarithms: lnx, logax
Inverse trig: arctanx,arcsinx
Algebraic: polynomials xn
Trigonometric: sinx,cosx
Exponentials: ex,ax
Compute g′(x) (differentiate) and f(x)=∫f′(x)dx (integrate, no +C needed here).
Apply the formula:
∫f′(x)g(x)dx=f(x)g(x)−∫f(x)g′(x)dx.
Compute the remaining integral ∫fg′dx. It should be simpler than the original.
Add +C if indefinite, or evaluate bounds if definite (via FTC I).
Output. A closed-form antiderivative, or a definite-integral value.
Pitfalls.
Wrong sign in fg−∫fg′dx. Memorise the formula carefully: the minus is on ∫fg′, not on fg.
Infinite loop: if after applying IBP the new integral equals the original one (up to sign), add them both to one side and solve. E.g., ∫exsinxdx cycles back after two IBPs.
Special case ∫lnxdx: write lnx=1⋅lnx, take f′=1, g=lnx: ∫lnxdx=xlnx−∫x⋅(1/x)dx=xlnx−x+C=x(lnx−1)+C.
Forgetting +C on indefinite — this is a grader pet peeve.
M-IC-2 — Integration by substitution
Used on: Many TA problems, compounding-style integrals, and whenever the integrand contains a composite function with a visible derivative factor.
Input. An integral ∫f(x)dx where f contains a composite pattern g[h(x)]⋅h′(x) or close variant.
Steps.
Try the shortcut first (see the composition-shortcut table in §4, Example 4.1). If one of them matches, apply it directly:
∫f′⋅(f)adx=a+1fa+1+C (a=−1), ∫f′/fdx=ln∣f∣+C, ∫f′efdx=ef+C, etc.
Multiplication trick (Integral Calculus.pdf p.19): if the derivative factor is off by a constant, factor it out: ∫xex2dx=21∫2xex2dx=21ex2+C.
If shortcuts fail, substitute. Pick u=g(x) (usually the "inside" of a composition). Compute du=g′(x)dx, i.e., dx=du/g′(x).
Rewrite the integrand entirely in terms of u. If some x's remain, express them via x=g−1(u) and substitute.
For definite integrals, change the bounds: new lower bound = g(old lower), new upper bound = g(old upper). Important: this only works if g is monotonic on the interval (otherwise split the domain or use ∣g′∣).
Integrate in the u variable.
Either back-substitute u=g(x) (indefinite case), or evaluate the new bounds directly (definite case — no back-substitution needed).
Output. Closed-form antiderivative in x (indefinite) or numerical value (definite).
Pitfalls.
Forgetting to change the bounds when evaluating a definite integral. If you keep the old bounds, you must first back-substitute to x.
Non-monotone substitution (e.g., u=x2 on an interval containing 0). Split into monotonic pieces or introduce ∣du∣.
Leaving residual x's in the integrand. Every x must be expressed via u before you integrate.
M-IC-3 — Integration by partial fractions for P(x)/Q(x)
Used on: Rational-function integrands whose denominator is quadratic (factorisable).
Input. An integral ∫P(x)/Q(x)dx where P,Q are polynomials, degP<degQ, and Q factors over R.
Steps.
Reduce first if degP≥degQ: polynomial-divide P by Q to get P=quotient⋅Q+remainder, so P/Q=quotient+remainder/Q with deg(remainder)<degQ. Integrate the quotient separately (easy polynomial).
Factor Q. For a quadratic Q(x)=(x−r1)(x−r2) with distinct real roots, or Q(x)=(x−r)2 for a double root.
Decompose:
Distinct linear factors.(x−r1)(x−r2)P(x)=x−r1A+x−r2B.
Repeated linear factor.(x−r)2P(x)=(x−r)2A+x−rB.
Solve for A,B by multiplying through by Q and either plugging in the root values or matching coefficients.
Output. A sum of logarithms and/or simple rational terms, plus C.
Pitfalls.
Wrong decomposition when a factor is repeated: must include both (x−r)2A and x−rB.
Absolute value in the log: ln∣x−r∣, not ln(x−r) — crucial when r is inside the integration interval of a definite integral (though in that case the integrand is unbounded and you are in the improper regime).
Forgetting the addition/algebraic trick for ∫x+22x−3dx-style problems: add and subtract the constant in the denominator at the numerator to simplify (see Integral Calculus.pdf pp.20–21).
M-IC-4 — Convergence of an improper integral by asymptotic comparison
Used on: May 2024 MCQ3, TA41 TA2 Qs 17–19, every "does this integral exist?" question.
Input. An improper integral ∫a+∞f(x)dx (first kind) or ∫abf(x)dx with a singularity at b− (second kind), f positive and eventually monotonic.
Steps.
Identify where the problem is. For first kind, study x→+∞. For second kind, study x→b− (or wherever f blows up).
Find the asymptotic order. Compute limx→problemf(x)⋅xp (first kind) or limx→b−f(x)⋅(b−x)p (second kind); find the critical p such that f(x)∼C/xp (resp. ∼C/(b−x)p).
Apply the harmonic rule.
First kind, singularity at +∞:∫1+∞1/xpdxconverges iff p>1.
Second kind, singularity at finite point:∫011/xpdxconverges iff p<1.
Conclude via asymptotic comparison (Theorem 1933): if f∼C/xp at +∞ and C>0, then ∫a+∞f converges iff ∫1/xp converges iff p>1.
If f is not positive (e.g., oscillating like sinx/x2): apply the absolute convergence test (Theorem 1937) — show ∫∣f∣ converges, hence so does ∫f.
Output. "Converges" or "diverges".
Pitfalls.
Not checking positivity before applying comparison/asymptotic tests. Those theorems require f,g positive (or eventually positive).
Forgetting the harmonic flip between first and second kind: at +∞, convergence wants p>1; at a finite singularity, p<1.
Mistaking lnx for a polynomial: lnx=o(xε) for any ε>0, i.e., a log factor never changes the asymptotic order.
Using the absolute convergence test in the wrong direction: ∫f converging does not imply ∫∣f∣ converging (counterexample ∫sinx/xdx converges but ∫∣sinx/x∣ diverges). The theorem is one-way.
M-IC-5 — Cauchy principal value (PV) when ∫ diverges
Used on: Final exercises Q4, oscillating or odd-plus-even integrands on (−∞,+∞).
Input. An integrand f:R→R where ∫−∞+∞fdx does not converge (but possibly has a finite PV).
Steps.
Check if f is odd. If f(−x)=−f(x), then for every K>0, ∫−KKf(x)dx=0. Hence PV∫−∞+∞f=0.
If f is even and integrable on [0,∞), PV∫−∞+∞f=2∫0+∞f (if convergent).
General case: find a primitive P of f, then
PV∫−∞+∞f(x)dx=limK→+∞[P(K)−P(−K)].
For a PV at a finite singularityc∈(a,b): PV∫abf=limε→0+[∫ac−εf+∫c+εbf] using the sameε on both sides.
Output. A finite number, or ±∞, or "does not exist" (if the symmetric limit itself oscillates).
Pitfalls.
Confusing PV with the classical improper integral. They agree when the latter converges; the PV may be finite even when the classical is indeterminate (odd-function example), but the classical divergence can "win" (Example 4.6: PV is −∞, not 0).
Using two independent limits instead of one symmetric K. The whole point of PV is the single-parameter limit.
M-IC-6 — Applying the FTC ("primitive first, then evaluate bounds")
Used on: May 2024 Q9 (b2), every definite-integral computation.
Input. A definite integral ∫abf(x)dx with f integrable and having a primitive on [a,b].
Steps.
Find a primitive P of f using any of M-IC-1, M-IC-2, M-IC-3, or the antiderivatives table (Example 4.1). Drop the +C — any one primitive suffices.
Verify that the hypotheses of Theorem 1894 hold: f integrable on [a,b] (e.g., continuous), and P a genuine primitive (check P′(x)=f(x)).
Evaluate[P(x)]ab=P(b)−P(a) (Newton–Leibniz).
Output. The numerical value of the definite integral.
Pitfalls.
Evaluating before dropping +C. The +C cancels in P(b)−P(a), so you do not need it, but do not write it and then add it to the answer.
Wrong sign: always upper minus lower, P(b)−P(a).
Swapped bounds: if you end up with a>b, flip and add a minus sign: ∫ab=−∫ba.
M-IC-7 — Verify F is a primitive of f (differentiate F, check = f)
Used on: Multiple-choice "which of these is an antiderivative of f?" questions (TA41 Q7).
Input. A function f(x) and a candidate F(x).
Steps.
Differentiate F(x), applying product/chain/quotient rules as needed.
Simplify F′(x).
Check whether F′(x)=f(x) pointwise on the interval.
If yes, F is a primitive. If not, rule out.
Output. "Yes, F is a primitive" or "no".
Pitfalls.
On MCQs, always try this method first before attempting the much harder forward computation. Differentiation is mechanical; integration can be hard.
Multiple correct answers. By Theorem 1903, any two primitives differ by a constant. On an MCQ, two candidate primitives that differ by a constant are both correct if the problem does not pin down the constant. In that case look for additional info (e.g., value at a specific point).
§6. Practice Problems with Solutions
Problem 6.1 — TA41 #13: ∫1+∞(3x+2)21dx
Source: TA41_calc_int2.pdf Q13.
Behaviour. The integrand is positive and ∼9x21 at +∞; by asymptotic comparison with ∫1/x2 (convergent), the integral converges.
Value. Rewrite using the shortcut ∫f′(x)⋅f(x)−2dx=−1/f(x)+C with f(x)=3x+2, f′(x)=3:
∫(3x+2)21dx=31∫(3x+2)23dx=31⋅3x+2−1+C=−3(3x+2)1+C.
Compute the improper integral:
∫1+∞(3x+2)21dx=limK→+∞[−3(3x+2)1]1K=limK→+∞[−3(3K+2)1+3⋅51]=0+151=151.
Answer: A (1/15).
Problem 6.2 — TA41 #17: ∫1+∞x73x+7x5x+2dx
Source: TA41_calc_int2.pdf Q17.
Asymptotically at +∞:
x73x+7x5x+2∼x7+1/3x5+1/2=x22/3x11/2=x22/3−11/21=x44/6−33/61=x11/61.
Since 11/6>1, the integral ∫1/x11/6dx converges. By asymptotic comparison, the original integral converges (exists and is finite). Answer: B.
Problem 6.3 — TA41 #19: For which α>0 does ∫2+∞(x2−3)2xα−1(x2−2x)3dx converge?
Source: TA41_calc_int2.pdf Q19.
Asymptotically at +∞:
(x2−3)2xα−1(x2−2x)3∼(x2)2⋅xα(x2)3=x4⋅xα/2x6=xα/2−21.
Convergence requires α/2−2>1, i.e., α>6 (strict inequality!). Answer: D — "none of the preceding" (since "b α≥6" allows α=6 which gives p=1, the boundary case which diverges).
Problem 6.4 — May 2024 Q9 (full)
Source: General_24524_ENG_SOL.pdf Q9.
(a) State and prove the First Fundamental Theorem of Calculus. See §3.7 above — reproduce the statement and the 5-step proof verbatim.
(b1) Antiderivative of f(x)=x2lnx on (0,+∞).
Integrate by parts with g=lnx (LIATE priority — log), f1′=x2:
∫x2lnxdx=3x3lnx−∫3x3⋅x1dx=3x3lnx−9x3+C.
(b2) Definite integral ∫1ex2lnxdx.
Apply FTC I (Theorem 1894):
∫1ex2lnxdx=[3x3lnx−9x3]1e=(3e3−9e3)−(0−91)=92e3+91.
Problem 6.5 — Final exercises Q4 (full true/false)
Source: Final exercises solution.pdf Q4. See Example 4.6 for the full solution. Answers: (a) False, (b) False, (c) True.
Problem 6.6 — Final exercises Q5 (continuous compounding)
Source: Final exercises solution.pdf Q5. See Example 4.7. Answer: M(2)=(1.02)2=1.0404 for C=1; M(2)=100⋅(1.02)2=104.04 for C=100.
Problem 6.7 — TA41 Q2: ∫017xln(x2+1)dx via substitution + by-parts
Source: TA41_clac_int1.pdf Q2. Use the substitution t=x2+1, dt=2xdx, so xdx=21dt. Bounds: x=0⇒t=1; x=1⇒t=2.
∫017xln(x2+1)dx=∫127⋅21lntdt=27∫12lntdt.
Using ∫lntdt=t(lnt−1)+C (from Example 4.2's special case of by-parts):
27[t(lnt−1)]12=27[2(ln2−1)−1⋅(0−1)]=27[2ln2−2+1]=27(2ln2−1)=7ln2−27.
Answer: A (7ln2−7/2).
Problem 6.8 — TA41 Q7: Antiderivative of f(x)=x(lnx+2)5lnx
Source: TA41_calc_int2.pdf Q7. Use the substitution t=lnx+2, dt=dx/x, and lnx=t−2:
∫x(lnx+2)5lnxdx=∫t5(t−2)dt=5∫(1−t2)dt=5t−10ln∣t∣+C=5(lnx+2)−10ln∣lnx+2∣+C.
Absorb the constant 5⋅2=10 into C (the constant is arbitrary):
=5lnx+10−10ln∣lnx+2∣+C=5lnx−10ln(lnx+2)+C′on (1,+∞),
where we dropped absolute values since on (1,+∞), lnx+2>2>0. Answer: B (5lnx−10ln(lnx+2)).
§7. Common Pitfalls
Forgetting the +C on indefinite integrals. An indefinite integral is a family of primitives; without +C it is incomplete. Points are routinely deducted for this on partial-exam questions. (Definite integrals, however, are numbers — no +C.)
Sign error in integration by parts. The formula is ∫f′gdx=fg−∫fg′dx, minus on ∫fg′. A very common slip is writing fg+∫fg′. Double-check by differentiating your answer: (fg)′=f′g+fg′ should recover the integrand f′g.
Wrong bounds after substitution. If you substitute u=g(x) in a definite integral ∫ab, you must change the bounds to g(a),g(b) — or, alternatively, back-substitute to x before evaluating. Leaving the original x-bounds with the u-antiderivative gives wrong answers.
Divergent ≠ PV divergent. A classically divergent integral can have a finite PV (Cauchy odd-cancellation); a classically convergent integral always equals its PV. Never assume PV = 0 unless you verify the symmetric limit explicitly. (See Example 4.6: PV∫(2x−3)dx=−∞, not 0.)
Confusing definite integral (a number) vs. indefinite (a function family).
∫f(x)dx: a family of primitives parametrised by C∈R — a set of functions of x.
∫abf(x)dx: a single real number that depends on f,a,b but not on any "x". So the expression "x=2 in ∫13xdx" makes no sense — the integration variable is a dummy.
Improper at both ends requires TWO independent limits, not one. For ∫−∞+∞f(x)dx, the classical improper integral is lims→−∞∫scf+limt→+∞∫ctf where s,t are independent. Collapsing into a single symmetric K-limit gives the PV, which is different and weaker.
Using Theorem 1894 without verifying hypotheses. FTC I requires (i) f integrable on [a,b] and (ii) f admits a primitive P. If f has a jump discontinuity, f does not have a primitive on any interval crossing the jump, so the FTC fails. E.g., sgn(x) is integrable on [−1,1] but has no primitive through x=0 — no function P has P′(0−)=−1, P′(0+)=+1 and P differentiable at 0.
Asymptotic comparison without positivity. Theorems 1932, 1933 require f,g>0 (or at least eventually positive). For oscillating integrands like sinx/x, first apply the absolute convergence test (Theorem 1937): if ∫∣f∣ converges, so does ∫f.
Harmonic rule flipped. At +∞, ∫1/xpdxconverges iff p>1 (large p makes f decay faster). At a finite singularity like x→0+, ∫011/xpdxconverges iff p<1 (small p makes f blow up more slowly). Memorise both: the rule inverts.
Assuming F(x)=∫axf(t)dt is always differentiable. Theorem 1899 requires fcontinuous. If f has a jump, F is still Lipschitz/continuous, but F′ may not exist at the jump — so F is not a primitive of f there. Example: f piecewise constant with a jump at 0 has F with a corner at 0 — F−′(0)=F+′(0).
Losing the modulus ∣f∣ in ∫f′/fdx=ln∣f∣. The log shortcut requires the absolute value when f can be negative. On an interval where f has constant sign, the absolute value can be dropped with the appropriate sign, but writing ln(negative) is undefined.
Not recognising a shortcut-applicable pattern. Before reaching for by-parts, always scan for:
f′⋅fa pattern (→fa+1/(a+1)),
f′/f pattern (→ln∣f∣),
f′⋅ef (→ef),
eax+b (linear exponent, →a1eax+b).
These avoid unnecessary work. Example: ∫xex2dx is a 3-second shortcut, not a 30-second by-parts problem.
End of 03 — Integral Calculus. Cross-links: §01 Linear Algebra (eigenvalue/Sylvester signing reused for Hessians); §02 Differential Calculus (Lagrange MVT used inside the proof of FTC I, §3.7); §04 Probability (continuous RV expectation E[X]=∫xfX(x)dx); §05 Mathematical Finance (continuous compounding, duration as integral).