Mathematics · Book 2 · Grades 10–12

High School Mathematics

High School Mathematics · Grades 10–12

25Integration

Integration answers two questions at once: what is the area under a curve, and how can one recover a function from its rate of change? The fundamental theorem of calculus states that these are the same question — the deepest and most useful discovery of seventeenth-century mathematics.

25.1 The integral of a continuous function

Definition 25.1 (Integral of a positive function)

Let ff be continuous and positive on [a,b]\intcc{a}{b}. The integral

abf(x) ⁣dx\int_a^b f(x)\,\dd x

is the area, in units of area, of the region bounded by the curve of ff, the xx-axis, and the vertical lines x=ax = a and x=bx = b.

For a function of arbitrary sign, areas below the xx-axis are counted negatively; and one sets baf(x) ⁣dx=abf(x) ⁣dx\int_b^a f(x)\,\dd x = -\int_a^b f(x)\,\dd x.

Signed areas: ∈t_02π x\, x = 0, the region below the axis (red) cancelling the region above (blue).
Signed areas: 02πsinx ⁣dx=0\int_0^{2\pi} \sin x\,\dd x = 0, the region below the axis (red) cancelling the region above (blue).

Proposition 25.2 (Properties of the integral)

Let f,gf, g be continuous on an interval containing a,b,ca, b, c, and λR\lambda \in \R.

  1. Linearity: ab(f+λg)=abf+λabg\displaystyle\int_a^b (f + \lambda g) = \int_a^b f + \lambda \int_a^b g.
  2. Chasles relation: acf=abf+bcf\displaystyle\int_a^c f = \int_a^b f + \int_b^c f.
  3. Positivity: if aba \leq b and f0f \geq 0 on [a,b]\intcc{a}{b}, then abf0\displaystyle\int_a^b f \geq 0; if fgf \leq g, then abfabg\displaystyle\int_a^b f \leq \int_a^b g.

Proof. Chasles and positivity are immediate from the area interpretation (areas add up when regions are juxtaposed; a region of positive height has positive area). The comparison follows by applying positivity to gfg - f. Linearity is intuitively clear for the sum of positive functions (stack the areas) and is proved rigorously at university; it is admitted here.

25.2 The fundamental theorem of calculus

Definition 25.3 (Primitive)

A primitive (or antiderivative) of ff on an interval II is a differentiable function FF on II such that F=fF' = f.

Proposition 25.4

If FF is a primitive of ff on an interval II, the primitives of ff on II are exactly the functions F+cF + c, cRc \in \R. Given x0Ix_0 \in I and y0Ry_0 \in \R, there is a unique primitive with F(x0)=y0F(x_0) = y_0.

Proof. If G=F=fG' = F' = f, then (GF)=0(G - F)' = 0 on the interval II, so GFG - F is constant.1 Conversely every F+cF + c is a primitive. The condition F(x0)=y0F(x_0) = y_0 pins down the constant.

Theorem 25.5 (Fundamental theorem of calculus)

Let ff be continuous on an interval II and aIa \in I. The function

F ⁣:xaxf(t) ⁣dtF \colon x \longmapsto \int_a^x f(t)\,\dd t

is the primitive of ff on II vanishing at aa. Consequently, for any primitive GG of ff and a,bIa, b \in I:

abf(t) ⁣dt=[G(t)]ab=G(b)G(a).\int_a^b f(t)\,\dd t = \bigl[G(t)\bigr]_a^b = G(b) - G(a).
The idea of the proof: the increment F(x+h) - F(x) is the area of the narrow strip (orange), squeezed between the rectangles of heights f(x) and f(x+h) over a base of length h.
The idea of the proof: the increment F(x+h)F(x)F(x+h) - F(x) is the area of the narrow strip (orange), squeezed between the rectangles of heights f(x)f(x) and f(x+h)f(x+h) over a base of length hh.

Proof when ff is increasing. Fix xIx \in I and h>0h > 0 with x+hIx + h \in I. By Chasles,

F(x+h)F(x)=xx+hf(t) ⁣dt.F(x+h) - F(x) = \int_x^{x+h} f(t)\,\dd t .

Since ff is increasing, f(x)f(t)f(x+h)f(x) \leq f(t) \leq f(x+h) for t[x,x+h]t \in \intcc{x}{x+h}, and by comparison of integrals (the integral of a constant cc over an interval of length hh is chch):

hf(x)F(x+h)F(x)hf(x+h),h\,f(x) \leq F(x+h) - F(x) \leq h\,f(x+h),

so

f(x)F(x+h)F(x)hf(x+h).f(x) \leq \frac{F(x+h) - F(x)}{h} \leq f(x+h).

As h0+h \to 0^+, f(x+h)f(x)f(x+h) \to f(x) by continuity, and the squeeze theorem gives that the difference quotient tends to f(x)f(x); the case h<0h < 0 is symmetric. Hence F=fF' = f, and F(a)=0F(a) = 0. The general (non-monotonic) continuous case is proved at university.

Finally, if GG is any primitive, G=F+cG = F + c (Proposition 25.4), so G(b)G(a)=F(b)F(a)=abfG(b) - G(a) = F(b) - F(a) = \int_a^b f.

Example 25.6

01x2 ⁣dx=[x33]01=13\displaystyle\int_0^1 x^2\,\dd x = \left[\frac{x^3}{3}\right]_0^1 = \frac13: the area under the parabola is one third of the unit square, as Archimedes knew.

The table of primitives is read from the table of derivatives (uu denotes a differentiable function, cc an arbitrary constant):

f(x)f(x)primitiveffprimitive
xn (n1)x^n \ (n \neq -1)xn+1n+1+c\dfrac{x^{n+1}}{n+1} + cuun (n1)u'u^n \ (n \neq -1)un+1n+1+c\dfrac{u^{n+1}}{n+1} + c
1x (x>0)\dfrac1x \ (x > 0)lnx+c\ln x + cuu (u>0)\dfrac{u'}{u} \ (u > 0)lnu+c\ln u + c
ex\eu^xex+c\eu^x + cueuu'\eu^ueu+c\eu^u + c
cosx\cos xsinx+c\sin x + cuu (u>0)\dfrac{u'}{\sqrt u} \ (u>0)2u+c2\sqrt u + c
sinx\sin xcosx+c-\cos x + c

Method 25.7 (Recognizing the form u×(something in u)u' \times (\text{something in } u))

To integrate a product, look for a factor which is the derivative of an inner function uu, up to a multiplicative constant. For instance in 01xex2 ⁣dx\int_0^1 x\,\eu^{x^2}\dd x, the factor xx is 12(x2)\frac12 (x^2)':

01xex2 ⁣dx=12[ex2]01=e12.\int_0^1 x\,\eu^{x^2}\dd x = \frac12\left[\eu^{x^2}\right]_0^1 = \frac{\eu - 1}{2}.

Theorem 25.8 (Integration by parts)

Let u,vu, v be differentiable on [a,b]\intcc{a}{b} with continuous derivatives. Then

abu(t)v(t) ⁣dt=[u(t)v(t)]ababu(t)v(t) ⁣dt.\int_a^b u'(t)\,v(t)\,\dd t = \bigl[u(t)\,v(t)\bigr]_a^b - \int_a^b u(t)\,v'(t)\,\dd t .

Proof. The product rule gives (uv)=uv+uv(uv)' = u'v + uv'; integrating both sides over [a,b]\intcc{a}{b} and using the fundamental theorem for the left-hand side yields [uv]ab=abuv+abuv\bigl[uv\bigr]_a^b = \int_a^b u'v + \int_a^b uv'.

Example 25.9

01tet ⁣dt\displaystyle\int_0^1 t\,\eu^{t}\,\dd t: take u=etu' = \eu^t, v=tv = t, so u=etu = \eu^t, v=1v' = 1:

01tet ⁣dt=[tet]0101et ⁣dt=e(e1)=1.\int_0^1 t\,\eu^t\,\dd t = \bigl[t\,\eu^t\bigr]_0^1 - \int_0^1 \eu^t\,\dd t = \eu - (\eu - 1) = 1 .

25.3 Applications

Definition 25.10 (Mean value)

The mean value of a continuous function ff on [a,b]\intcc{a}{b} (a<ba<b) is

μ=1baabf(t) ⁣dt.\mu = \frac{1}{b-a}\int_a^b f(t)\,\dd t .

Proposition 25.11

If mfMm \leq f \leq M on [a,b]\intcc{a}{b}, then mμMm \leq \mu \leq M.

Proof. Integrate the inequalities mf(t)Mm \leq f(t) \leq M over [a,b]\intcc{a}{b} and divide by ba>0b - a > 0.

Method 25.12 (Area between two curves)

If fgf \geq g on [a,b]\intcc{a}{b}, the area between the two curves is ab(f(x)g(x)) ⁣dx\int_a^b \bigl(f(x) - g(x)\bigr)\dd x. If the curves cross, split the interval at the crossing points and integrate fg\abs{f - g} piece by piece.

The area between the line y = x + 1 (red) and the parabola y = x2 - 1 (blue) is ∈t_-12 ((x+1) - (x2-1) ) x = 9/2.
The area between the line y=x+1y = x + 1 (red) and the parabola y=x21y = x^2 - 1 (blue) is 12((x+1)(x21)) ⁣dx=92\int_{-1}^{2} \bigl((x+1) - (x^2-1)\bigr)\dd x = \frac92.

25.4 Exercises

Exercise 25.1

Compute

12(3x21x2) ⁣dx,0π/2cost ⁣dt,01 ⁣dt2t+1.\int_1^2 \left(3x^2 - \frac{1}{x^2}\right)\dd x, \qquad \int_0^{\pi/2} \cos t \,\dd t, \qquad \int_0^{1} \frac{\dd t}{2t+1} .
Solution

Solution of Exercise 25.1.

12(3x21x2) ⁣dx=[x3+1x]12=(8+12)2=132.\int_1^2 \left(3x^2 - \frac{1}{x^2}\right)\dd x = \left[x^3 + \frac1x\right]_1^2 = \left(8 + \tfrac12\right) - 2 = \frac{13}{2}.
0π/2cost ⁣dt=[sint]0π/2=1.\int_0^{\pi/2} \cos t\,\dd t = \bigl[\sin t\bigr]_0^{\pi/2} = 1 .

With u=2t+1u = 2t+1, 12t+1=12uu\frac{1}{2t+1} = \frac12\,\frac{u'}{u}:

01 ⁣dt2t+1=12[ln(2t+1)]01=ln32.\int_0^1 \frac{\dd t}{2t+1} = \frac12\bigl[\ln(2t+1)\bigr]_0^1 = \frac{\ln 3}{2}.

Exercise 25.2

Find the primitive FF of f(x)=xex2f(x) = x\eu^{x^2} on R\R such that F(0)=1F(0) = 1.

Solution

Solution of Exercise 25.2.

xex2=12(x2)ex2x\,\eu^{x^2} = \frac12\,(x^2)'\,\eu^{x^2} has primitives 12ex2+c\frac12\eu^{x^2} + c. The condition F(0)=1F(0) = 1 gives 12+c=1\frac12 + c = 1, so

F(x)=ex2+12.F(x) = \frac{\eu^{x^2} + 1}{2}.

Exercise 25.3

Compute the mean value of f(t)=sintf(t) = \sin t on [0,π]\intcc{0}{\pi}, and interpret the result on a graph.

Solution

Solution of Exercise 25.3.

μ=1π0πsint ⁣dt=1π[cost]0π=2π0.64.\mu = \frac{1}{\pi}\int_0^\pi \sin t\,\dd t = \frac{1}{\pi}\bigl[-\cos t\bigr]_0^\pi = \frac{2}{\pi} \approx 0.64 .

Graphically, the rectangle of base [0,π]\intcc{0}{\pi} and height 2π\frac{2}{\pi} has the same area as the arch of the sine curve.

Exercise 25.4 ★★

Using integration by parts, compute

1elnt ⁣dtand0πtsint ⁣dt.\int_1^{\eu} \ln t\,\dd t \qquad\text{and}\qquad \int_0^{\pi} t \sin t\,\dd t .
Solution

Solution of Exercise 25.4.

Take u=1u' = 1, v=lntv = \ln t, so u=tu = t, v=1tv' = \frac1t:

1elnt ⁣dt=[tlnt]1e1e1 ⁣dt=e(e1)=1.\int_1^{\eu} \ln t\,\dd t = \bigl[t\ln t\bigr]_1^{\eu} - \int_1^{\eu} 1\,\dd t = \eu - (\eu - 1) = 1 .

Take u=sintu' = \sin t, v=tv = t, so u=costu = -\cos t, v=1v' = 1:

0πtsint ⁣dt=[tcost]0π+0πcost ⁣dt=π+0=π.\int_0^\pi t\sin t\,\dd t = \bigl[-t\cos t\bigr]_0^\pi + \int_0^\pi \cos t\,\dd t = \pi + 0 = \pi .

Exercise 25.5 ★★

Compute the area of the region between the parabola y=x2y = x^2 and the line y=x+2y = x + 2.

Solution

Solution of Exercise 25.5.

The curves intersect where x2=x+2x^2 = x + 2, i.e. x{1,2}x \in \{-1, 2\}, and on [1,2]\intcc{-1}{2} the line is above the parabola. The area is

12(x+2x2) ⁣dx=[x22+2xx33]12=103(76)=92.\int_{-1}^{2} \bigl(x + 2 - x^2\bigr)\dd x = \left[\frac{x^2}{2} + 2x - \frac{x^3}{3}\right]_{-1}^{2} = \frac{10}{3} - \left(-\frac{7}{6}\right) = \frac{9}{2}.

Exercise 25.6 ★★

Let I=01 ⁣dt1+tI = \displaystyle\int_0^1 \frac{\dd t}{1 + t}.

  1. Compute II.
  2. For nNn \in \N, let In=01tn1+t ⁣dtI_n = \displaystyle\int_0^1 \frac{t^n}{1+t}\dd t. Show that In+In+1=1n+1I_n + I_{n+1} = \dfrac{1}{n+1}, and that 0In1n+10 \leq I_n \leq \dfrac{1}{n+1}.
  3. Deduce that 112+13+(1)n1nn+ln21 - \frac12 + \frac13 - \dots + \frac{(-1)^{n-1}}{n} \xrightarrow[n \to +\infty]{} \ln 2.
Solution

Solution of Exercise 25.6.

1. I=[ln(1+t)]01=ln2I = \bigl[\ln(1+t)\bigr]_0^1 = \ln 2.

2.

In+In+1=01tn(1+t)1+t ⁣dt=01tn ⁣dt=1n+1.I_n + I_{n+1} = \int_0^1 \frac{t^n(1 + t)}{1+t}\,\dd t = \int_0^1 t^n \,\dd t = \frac{1}{n+1}.

On [0,1]\intcc{0}{1}, 0tn1+ttn0 \leq \dfrac{t^n}{1+t} \leq t^n, so by comparison 0In1n+10 \leq I_n \leq \frac{1}{n+1}.

3. From the recurrence, by a telescoping induction,

In=(1)n(I0(112++(1)n1n)),I_n = (-1)^n\left(I_0 - \left(1 - \frac12 + \dots + \frac{(-1)^{n-1}}{n}\right)\right),

i.e. k=1n(1)k1k=ln2(1)nIn\displaystyle\sum_{k=1}^{n} \frac{(-1)^{k-1}}{k} = \ln 2 - (-1)^n I_n (recall I0=ln2I_0 = \ln 2). Since In1n+10\abs{I_n} \leq \frac{1}{n+1} \to 0, the alternating harmonic sum tends to ln2\ln 2.

Exercise 25.7 ★★

The speed of a train (in m/s) during the first 100100 seconds after departure is modeled by v(t)=30(1et/50)v(t) = 30\bigl(1 - \eu^{-t/50}\bigr). Compute the distance traveled during these 100100 seconds, and the train’s average speed over the interval.

Solution

Solution of Exercise 25.7.

Distance:

d=010030(1et/50) ⁣dt=30[t+50et/50]0100=30(100+50e250)=1500+1500e2.d = \int_0^{100} 30\left(1 - \eu^{-t/50}\right)\dd t = 30\left[t + 50\,\eu^{-t/50}\right]_0^{100} = 30\left(100 + 50\eu^{-2} - 50\right) = 1500 + 1500\,\eu^{-2}.

Numerically d1500+203=1703d \approx 1500 + 203 = 1703 m. Average speed: d100=15(1+e2)17.0\frac{d}{100} = 15\bigl(1 + \eu^{-2}\bigr) \approx 17.0 m/s.

Exercise 25.8 ★★★

For n1n \geq 1, let Sn=1nk=1n11+k/nS_n = \dfrac1n \displaystyle\sum_{k=1}^{n} \frac{1}{1 + k/n}.

  1. Interpret SnS_n as an area of rectangles approximating a region under the curve of t11+tt \mapsto \frac{1}{1+t} on [0,1]\intcc{0}{1}.
  2. Using the monotonicity of t11+tt \mapsto \frac{1}{1+t}, show that

    Sn01 ⁣dt1+tSn+1n(112),S_n \leq \int_0^1 \frac{\dd t}{1+t} \leq S_n + \frac1n\left(1 - \frac12\right),

    and deduce limn+Sn=ln2\lim\limits_{n\to+\infty} S_n = \ln 2.

Solution

Solution of Exercise 25.8.

1. SnS_n is the total area of nn rectangles of width 1n\frac1n and heights f(kn)f\left(\frac kn\right), k=1,,nk = 1, \dots, n, where f(t)=11+tf(t) = \frac{1}{1+t}: it is the “right endpoint” rectangle approximation of the area under ff on [0,1]\intcc{0}{1}.

2. ff is decreasing, so on each interval [k1n,kn]\intcc{\frac{k-1}{n}}{\frac kn}, f(kn)f(t)f(k1n)f\left(\frac kn\right) \leq f(t) \leq f\left(\frac{k-1}{n}\right); integrating and summing over kk:

Sn01f(t) ⁣dtSn+1n(f(0)f(1))=Sn+12n.S_n \leq \int_0^1 f(t)\,\dd t \leq S_n + \frac1n\bigl(f(0) - f(1)\bigr) = S_n + \frac{1}{2n}.

(The middle term of the exercise’s display, with f(0)f(1)=112f(0) - f(1) = 1 - \frac12, is exactly this bound.) Hence 0ln2Sn12n00 \leq \ln 2 - S_n \leq \frac{1}{2n} \to 0, so Snln2S_n \to \ln 2.

Exercise 25.9 ★★★

(Wallis integrals.) For nNn \in \N, let Wn=0π/2sinnt ⁣dtW_n = \displaystyle\int_0^{\pi/2} \sin^n t\,\dd t.

  1. Compute W0W_0 and W1W_1.
  2. Writing sinn+2t=sintsinn+1t\sin^{n+2}t = \sin t \cdot \sin^{n+1} t and integrating by parts, show that Wn+2=n+1n+2WnW_{n+2} = \dfrac{n+1}{n+2}\,W_n.
  3. Deduce W2W_2, W3W_3, W4W_4 and show that (Wn)(W_n) is decreasing and positive.
Solution

Solution of Exercise 25.9.

1. W0=0π/2 ⁣dt=π2W_0 = \int_0^{\pi/2} \dd t = \frac{\pi}{2} and W1=[cost]0π/2=1W_1 = \bigl[-\cos t\bigr]_0^{\pi/2} = 1.

2. Integrate by parts with u=sintu' = \sin t, v=sinn+1tv = \sin^{n+1} t, so u=costu = -\cos t, v=(n+1)sinntcostv' = (n+1)\sin^n t \cos t:

Wn+2=[costsinn+1t]0π/2+(n+1)0π/2cos2tsinnt ⁣dt=(n+1)0π/2(1sin2t)sinnt ⁣dt,W_{n+2} = \bigl[-\cos t \sin^{n+1} t\bigr]_0^{\pi/2} + (n+1)\int_0^{\pi/2} \cos^2 t\,\sin^n t\,\dd t = (n+1)\int_0^{\pi/2} (1 - \sin^2 t)\sin^n t\,\dd t,

the bracket vanishing at both ends. Hence Wn+2=(n+1)(WnWn+2)W_{n+2} = (n+1)(W_n - W_{n+2}), i.e. Wn+2=n+1n+2WnW_{n+2} = \frac{n+1}{n+2} W_n.

3. W2=12W0=π4W_2 = \frac12 W_0 = \frac{\pi}{4}, W3=23W1=23W_3 = \frac23 W_1 = \frac23, W4=34W2=3π16W_4 = \frac34 W_2 = \frac{3\pi}{16}. On (0,π2)\intoo{0}{\frac\pi2}, 0<sint<10 < \sin t < 1, so sinn+1tsinnt\sin^{n+1} t \leq \sin^n t with strict inequality on the interior; integrating, 0<Wn+1Wn0 < W_{n+1} \leq W_n (in fact <<): (Wn)(W_n) is decreasing and positive.

25.5 Problem: Archimedes against the machine

Problem 25.1

Weekend problem — the area under the parabola, computed three ways across twenty-two centuries, and the logarithm’s secret identity as an area

Around 240 BC, Archimedes computed the exact area of a parabolic segment — without coordinates, without limits, without algebra. Nineteen centuries later, Riemann’s rectangles redid it by brute squeeze; and the fundamental theorem of calculus (Theorem 25.5) now does it in one line. This problem plays all three matches, then uses the same machine to reveal what the logarithm really is: an area with a scaling symmetry.

Part I — Fluency.

  1. Compute 01(3x22x+1) ⁣dx\displaystyle\int_0^1 (3x^2 - 2x + 1)\,\dd x, 1e ⁣dxx\displaystyle\int_1^{\eu} \frac{\dd x}{x}, and 0π/2cosx ⁣dx\displaystyle\int_0^{\pi/2} \cos x\,\dd x.
  2. Spot the uuu'u-forms (Method 25.7): 01xex2 ⁣dx\displaystyle\int_0^1 x\,\eu^{x^2}\dd x and 012xx2+1 ⁣dx\displaystyle\int_0^1 \frac{2x}{x^2 + 1}\,\dd x.
  3. By parts (Theorem 25.8): 01xex ⁣dx\displaystyle\int_0^1 x\,\eu^x \dd x and 1elnx ⁣dx\displaystyle\int_1^{\eu} \ln x\,\dd x.
  4. Compute the mean value (Definition 25.10) of sin\sin over [0,π]\intcc{0}{\pi} — and note it is not 12\frac12.
  5. Compute the area between the line y=xy = x and the parabola y=x2y = x^2 over [0,1]\intcc{0}{1} (Method 25.12).

Part II — The parabola, three ways.

  1. Riemann’s setup for the area under y=x2y = x^2 on [0,1]\intcc{0}{1}: write the lower sum LnL_n and the upper sum UnU_n over nn equal rectangles (as in Exercise 25.8).
  2. Prove by induction (Problem 20.1’s machine) the sum-of-squares formula

    12+22++n2=n(n+1)(2n+1)6.1^2 + 2^2 + \dots + n^2 = \frac{n(n+1)(2n+1)}{6} .
  3. Deduce closed forms for UnU_n and LnL_n, compute their common limit, and conclude: the area is 13\frac13.
  4. Now the machine: compute 01x2 ⁣dx\int_0^1 x^2\,\dd x by the fundamental theorem, in one line. Compare the efforts.
  5. Archimedes stated it otherwise: a parabolic segment is 43\frac43 of its inscribed triangle. For the segment cut from y=x2y = x^2 by the chord joining (1,1)(-1, 1) to (1,1)(1, 1): compute the segment’s area with an integral, the inscribed triangle’s area (apex at the vertex (0,0)(0, 0)), and verify the master’s ratio.
  6. Archimedes’ own method: fill the segment with the big triangle TT, then two triangles totalling T4\frac T4, then four totalling T16\frac{T}{16}, and so on. Sum the geometric series and recover 43T\frac43 T — the endlessly bitten chocolate bar of the Middle School volume, eaten by a Greek geometer.
  7. One sentence each: exhaustion (Archimedes), squeeze (Riemann), anti-differentiation (Newton–Leibniz) — what does each need, and what does each give?

Part III — The logarithm is an area. For x>0x > 0, set A(x)=1x ⁣dttA(x) = \displaystyle\int_1^x \frac{\dd t}{t}.

  1. Give A(1)A(1) and A(x)A'(x) (Theorem 25.5), and conclude that AA is exactly the natural logarithm of Definition 23.5.
  2. The scaling miracle: fix a>0a > 0 and study g(x)=A(ax)A(x)g(x) = A(ax) - A(x). Compute gg' (chain rule), deduce that gg is constant, evaluate the constant — and conclude the functional equation

    ln(ab)=lna+lnb,\ln(ab) = \ln a + \ln b ,

    proved by pure calculus: the area from 11 to abab splits into scaled copies.

  3. Deduce from question 14: ln(an)=nlna\ln(a^n) = n\ln a and ln1a=lna\ln\frac1a = -\ln a.
  4. Exercise 25.8 reads 1n+1+1n+2++12n\frac{1}{n+1} + \frac{1}{n+2} + \dots + \frac{1}{2n} as rectangles under 11+t\frac{1}{1 + t}: compute this sum for n=10n = 10 (three decimals) and compare with ln2\ln 2. Which harmonic-flavored sums, divergent term by term, here converge to an area?

Part IV — Accumulation.

  1. A car accelerates with speed v(t)=3t2v(t) = 3t^2 m/s for t[0,10]t \in \intcc{0}{10}. Compute the distance covered, the mean speed, and the instant at which the instantaneous speed equals the mean speed.
  2. A 44-meter rod has linear density ρ(x)=2+x\rho(x) = 2 + x kg/m. Compute its total mass and its center of mass 04xρ(x) ⁣dx04ρ(x) ⁣dx\dfrac{\int_0^4 x\,\rho(x)\,\dd x}{\int_0^4 \rho(x)\,\dd x} — the balance point of the Middle School volume’s cardboard triangle, finally computed with weights that vary.
  3. Wallis’s integrals (Exercise 25.9): compute W0W_0, W1W_1, and W2=0π/2sin2t ⁣dtW_2 = \int_0^{\pi/2} \sin^2 t\,\dd t using the linearization of Problem 24.1. (Their infinite ladder climbs, in the university volumes, to a product formula for π\pi and to the normalization of the bell curve.)
  4. Finale — integration’s three faces: an area by definition, an accumulation in the world (distance, mass), an anti-derivative by the fundamental theorem; and its history in three names. Close with the chapter’s pearl: which everyday button on the calculator is secretly the area under 1t\frac1t — and which identity did that area prove?
Solution

Solution of Problem 25.1.

1. [x3x2+x]01=1\left[x^3 - x^2 + x\right]_0^1 = 1; [lnx]1e=1\left[\ln x\right]_1^{\eu} = 1; [sinx]0π/2=1\left[\sin x\right]_0^{\pi/2} = 1.

2. [12ex2]01=e12\left[\frac12 \eu^{x^2}\right]_0^1 = \frac{\eu - 1}{2}; [ln(x2+1)]01=ln2\left[\ln(x^2 + 1)\right]_0^1 = \ln 2.

3. 01xex=[xex]0101ex=e(e1)=1\int_0^1 x\eu^x = \left[x\eu^x\right]_0^1 - \int_0^1 \eu^x = \eu - (\eu - 1) = 1. And 1elnx=[xlnx]1e1e1=e(e1)=1\int_1^{\eu} \ln x = \left[x\ln x\right]_1^{\eu} - \int_1^{\eu} 1 = \eu - (\eu - 1) = 1.

4. 1π0πsinx ⁣dx=2π0.64\frac{1}{\pi}\int_0^\pi \sin x\,\dd x = \frac{2}{\pi} \approx 0.64: the average height of the sine arch is 2π\frac2\pi, noticeably more than one half — the arch is fat near its top.

5. 01(xx2) ⁣dx=1213=16\int_0^1 (x - x^2)\,\dd x = \frac12 - \frac13 = \frac16.

6. Ln=1nk=0n1(kn)2L_n = \frac1n \sum_{k=0}^{n-1} \left(\frac kn\right)^2 and Un=1nk=1n(kn)2U_n = \frac1n \sum_{k=1}^{n} \left(\frac kn\right)^2: rectangles of width 1n\frac1n with heights read at the left (below the curve) or right (above) endpoints.

7. True for n=1n = 1 (1=12361 = \frac{1 \cdot 2 \cdot 3}{6}). If it holds for nn, then adding (n+1)2(n+1)^2:

n(n+1)(2n+1)6+(n+1)2=(n+1)(2n2+n+6n+6)6=(n+1)(n+2)(2n+3)6,\frac{n(n+1)(2n+1)}{6} + (n+1)^2 = \frac{(n+1)\left(2n^2 + n + 6n + 6\right)}{6} = \frac{(n+1)(n+2)(2n+3)}{6},

the formula at n+1n + 1: heredity, done.

8. Un=1n3n(n+1)(2n+1)6=(1+1n)(2+1n)626=13U_n = \frac{1}{n^3} \cdot \frac{n(n+1)(2n+1)}{6} = \frac{(1 + \frac1n)(2 + \frac1n)}{6} \to \frac26 = \frac13, and Ln=Un1n13L_n = U_n - \frac1n \to \frac13: squeezed between its staircases, the area is exactly 13\frac13.

9. 01x2 ⁣dx=[x33]01=13\int_0^1 x^2\,\dd x = \left[\frac{x^3}{3}\right]_0^1 = \frac13: one line. The fundamental theorem converts an infinite squeeze into a single anti-derivative evaluation — that is why it is called fundamental.

10. Segment: 11(1x2) ⁣dx=223=43\int_{-1}^{1}(1 - x^2)\,\dd x = 2 - \frac23 = \frac43. Triangle with base the chord (length 22, at height 11) and apex (0,0)(0,0): area 12×2×1=1\frac12 \times 2 \times 1 = 1. Ratio: 43\frac43 — exactly Archimedes’ theorem, verified by the machine he lacked.

11. T(1+14+116+)=T1114=43TT\left(1 + \frac14 + \frac{1}{16} + \dots\right) = T \cdot \frac{1}{1 - \frac14} = \frac43 T (geometric series of ratio 14\frac14): with T=1T = 1, the segment’s area 43\frac43 again. Archimedes summed the series by a purely geometric argument — the quarter-bites of the chocolate-bar kind, two millennia before limits were words.

12. Exhaustion needs a clever geometric self-similarity and gives exact areas case by case; Riemann needs only monotonicity and gives a universal definition at the price of computing sums; the fundamental theorem needs the whole edifice of derivatives and repays it by making areas one-line computations.

13. A(1)=0A(1) = 0 and A(x)=1xA'(x) = \frac1x (fundamental theorem): AA is the primitive of 1x\frac1x on (0,+)\intoo{0}{+\infty} vanishing at 11 — which is precisely the natural logarithm.

14. g(x)=aax1x=0g'(x) = \frac{a}{ax} - \frac1x = 0: gg is constant; at x=1x = 1: g(1)=A(a)A(1)=A(a)g(1) = A(a) - A(1) = A(a). Hence A(ax)=A(a)+A(x)A(ax) = A(a) + A(x) for all xx, and with x=bx = b: ln(ab)=lna+lnb\ln(ab) = \ln a + \ln b. The hyperbola’s area does not care about horizontal scale: stretching tt by aa squashes 1t\frac1t by aa, and the area survives — addition of logarithms is a scaling symmetry.

15. Iterating: ln(an)=nlna\ln(a^n) = n\ln a (induction on nn). And 0=ln1=ln(a1a)=lna+ln1a0 = \ln 1 = \ln\left(a \cdot \frac1a\right) = \ln a + \ln\frac1a: ln1a=lna\ln\frac1a = -\ln a.

16. 111+112++1200.669\frac{1}{11} + \frac{1}{12} + \dots + \frac{1}{20} \approx 0.669, against ln20.693\ln 2 \approx 0.693: ten rectangles under 11+t\frac{1}{1+t}, already close. The harmonic series diverges, but its slices from nn to 2n2n settle on ln2\ln 2: divergence at a crawl, measured by an area.

17. Distance: 0103t2 ⁣dt=1000\int_0^{10} 3t^2\,\dd t = 1000 m. Mean speed: 100100 m/s. Instant with v=100v = 100: 3t2=1003t^2 = 100: t=10035.77t = \sqrt{\frac{100}{3}} \approx 5.77 s.

18. Mass: 04(2+x) ⁣dx=8+8=16\int_0^4 (2 + x)\,\dd x = 8 + 8 = 16 kg. Moment: 04(2x+x2) ⁣dx=16+643=1123\int_0^4 (2x + x^2)\,\dd x = 16 + \frac{64}{3} = \frac{112}{3}. Center of mass: 112/316=732.33\frac{112/3}{16} = \frac73 \approx 2.33 m — pushed beyond the middle by the heavier right end, as intuition demands.

19. W0=π2W_0 = \frac\pi2; W1=[cost]0π/2=1W_1 = \left[-\cos t\right]_0^{\pi/2} = 1; and W2=0π/21cos2t2 ⁣dt=π4W_2 = \int_0^{\pi/2} \frac{1 - \cos 2t}{2}\,\dd t = \frac\pi4.

20. Area: the definition, squeezed by staircases. Accumulation: distances from speeds, masses from densities — the integral as a running total. Anti-derivative: the fundamental theorem, Newton’s and Leibniz’s shortcut through Archimedes’ patience. The pearl: the ln\ln button is the area under 1t\frac1t, and that area’s scaling symmetry is the identity ln(ab)=lna+lnb\ln(ab) = \ln a + \ln b.

  1. That a function with zero derivative on an interval is constant follows from Theorem 22.7: it is both increasing and decreasing.