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At A-Level you meet the basic integration-by-parts formula. In Further Mathematics you must apply it repeatedly — twice, three times, or more — and master cyclic integrals, where the original integral reappears and is then solved algebraically rather than by further integration. This lesson develops the repeated technique, the tabular (DI) method for speed, the cyclic trick for eax times trig, and the powers-of-logarithm case, all with full mark schemes and exam technique.
Repeated integration by parts is compulsory Pure content for Papers 1 and 2 (each 2 h, 100 marks, 33⅓%, with per-paper weighting AO1 55% / AO2 25% / AO3 20%), within "Further calculus". It is mostly AO1 (carry out a multi-stage technique accurately) with AO2 appearing in "show that" derivations of the cyclic-integral results and in laying out reasoning cleanly, and occasionally AO3 when embedded in a longer modelling problem. It is the engine behind reduction formulae (the next lesson), powers the (lny)2 volume integral, and reappears in solving second-order differential equations and in Laplace transforms beyond A-Level. Because the calculations are multi-stage, this is a topic where neat, fully-shown working is rewarded as much as the final answer — a tidy layout of u,dv,du,v at each stage both reduces errors and earns method marks.
The integration-by-parts formula, from the product rule, is
∫udxdvdx=uv−∫vdxdudx,shorthand∫udv=uv−∫vdu.
The whole art is choosing u so that ∫vdu is simpler than ∫udv. The LIATE priority for u — Logarithmic, Inverse trig, Algebraic, Trigonometric, Exponential — picks u as the function earliest in that list (it differentiates toward something simpler), leaving the rest as dv. For ∫xneaxdx, the algebraic xn is u (it eventually differentiates to 0); for ∫xnlnxdx, the logarithm lnx is u (because differentiating lnx removes it, whereas integrating it would be awkward).
The reasoning behind LIATE is worth internalising rather than memorising blindly. Logarithms and inverse-trig functions are placed first because they are hard to integrate but easy to differentiate, so we want them as u. Exponentials and trig functions are placed last because they integrate and differentiate equally easily, so they make ideal dv choices that do not get worse when integrated. Algebraic powers xn sit in the middle: differentiating them lowers the power toward 0, which is exactly what we want when the other factor is an exponential or trig function. A bad choice of u makes ∫vdu harder than the original — for instance taking u=ex in ∫xexdx leads to ∫2x2exdx, a step backwards. When in doubt, try LIATE; if the resulting integral looks worse, swap your choice.
Evaluate ∫x2exdx.
First application (u=x2, dv=exdx⇒du=2xdx, v=ex):
∫x2exdx=x2ex−∫2xexdx(M1 one correct application)
Second application on ∫2xexdx (u=2x, dv=exdx):
∫2xexdx=2xex−∫2exdx=2xex−2ex+C.
Combining: (M1 second application; A1 final form)
∫x2exdx=ex(x2−2x+2)+C.
(Check by differentiating: dxd[ex(x2−2x+2)]=ex(x2−2x+2)+ex(2x−2)=ex[(x2−2x+2)+(2x−2)]=exx2. ✓) The pattern here is worth noticing: ∫x2exdx=ex(x2−2x+2), and more generally ∫xnexdx produces ex times an alternating polynomial xn−nxn−1+n(n−1)xn−2−…. The tabular method (next section) makes this pattern transparent and is the fastest way to obtain it for larger n.
Evaluate ∫x3sinxdx. Apply parts three times, reducing the power of x by one at each stage until it disappears:
∫x3sinxdx=−x3cosx+∫3x2cosxdx=−x3cosx+3x2sinx−∫6xsinxdx=−x3cosx+3x2sinx+6xcosx−∫6cosxdx=−x3cosx+3x2sinx+6xcosx−6sinx+C.
(M1 for each of the three applications, A1 final answer.) Check by differentiating recovers x3sinx. ✓
Evaluate ∫lnxdx. Although there is no obvious product, integration by parts handles it by treating the integrand as lnx×1, with u=lnx and dv=1dx (so du=x1dx, v=x):
∫lnxdx=xlnx−∫x⋅x1dx=xlnx−∫1dx=xlnx−x+C.
This "dv=1dx" trick is the standard way to integrate lnx, arctanx and other functions that are hard to integrate but easy to differentiate — and it is the base case for the (lnx)n family that appears in volumes of revolution about the y-axis.
For xn multiplied by eax, sin(ax) or cos(ax), build two columns: Differentiate the polynomial down to 0; Integrate the other factor repeatedly. Attach alternating signs +,−,+,−,… and multiply along the diagonals (each row's D-entry with the next row's I-entry). The method is especially valuable when n is 3 or more, where doing parts line-by-line three or four times invites sign slips; the table keeps every term and its sign organised in one place.
| Sign | D: derivatives of x2 | I: integrals of e3x |
|---|---|---|
| + | x2 | e3x |
| − | 2x | 31e3x |
| + | 2 | 91e3x |
| − | 0 | 271e3x |
∫x2e3xdx=(+)x2⋅31e3x+(−)2x⋅91e3x+(+)2⋅271e3x+C=(3x2−92x+272)e3x+C,
which tidies to 27e3x(9x2−6x+2)+C.
The tabular method is simply repeated integration by parts organised into a table, so it gives identical results — but with far less chance of a sign or bookkeeping error when the polynomial power is high. It works whenever one factor differentiates to 0 after finitely many steps (any polynomial xn) and the other can be integrated repeatedly (eax, sinax, cosax). The two rules to remember: attach alternating signs +,−,+,−,… starting with + on the top row, and multiply each D-entry by the I-entry one row down (the diagonal). Stop when the derivative column reaches 0; the last non-zero product is the final term. For a definite integral, write down the antiderivative from the table first, then evaluate at the limits — do not try to put limits inside the table itself.
When the integrand is eax times sinbx or cosbx, parts never terminates — instead the original integral reappears, and you solve for it algebraically.
Evaluate I=∫excosxdx.
First (u=cosx, dv=exdx): I=excosx+∫exsinxdx.
Second on ∫exsinxdx (u=sinx, dv=exdx):
I=excosx+exsinx−∫excosxdx=excosx+exsinx−I.
The last integral is I itself, so 2I=ex(cosx+sinx), giving
I=2ex(cosx+sinx)+C.
Key technique. When the original integral reappears, name it I, collect it on one side, and solve. The constant +C is introduced after dividing.
Two subtleties make or break a cyclic integral. First, consistency of choice. Across the two applications of parts you must keep choosing dv=exdx (or consistently the trig factor) — if you swap which factor is u halfway through, the integral "unwinds" back to where it started and you get the useless identity I=I. The rule is: pick exdx (or eaxdx) as dv both times, or pick the trig factor as dv both times. Second, the sign that produces the reappearance. It is the combination of two minus signs from two applications of parts that flips the reappearing integral to −I (rather than +I); if you find the integral coming back as +I, a sign has gone astray and the method appears to fail. Done correctly, you always reach an equation like I=(algebraic terms)−I or λI=(algebraic terms) for some constant λ, which you solve in one line.
Evaluate J=∫e2xsin3xdx.
First (u=sin3x, dv=e2xdx, v=21e2x): J=21e2xsin3x−23∫e2xcos3xdx.
Second (u=cos3x, v=21e2x — note we keep dv=e2xdx, the same choice as the first application, which is what makes the original integral reappear):
J=21e2xsin3x−23[21e2xcos3x+23∫e2xsin3xdx]=21e2xsin3x−43e2xcos3x−49J.
J+49J=21e2xsin3x−43e2xcos3x⇒413J=4e2x(2sin3x−3cos3x),
J=13e2x(2sin3x−3cos3x)+C.
This matches the general results, which you can quote (for "evaluate") or derive by differentiation (for "show that"):
∫eaxsinbxdx=a2+b2eax(asinbx−bcosbx)+C,∫eaxcosbxdx=a2+b2eax(acosbx+bsinbx)+C.
To verify the first by differentiation, apply the product rule to a2+b2eax(asinbx−bcosbx):
a2+b21[aeax(asinbx−bcosbx)+eax(abcosbx+b2sinbx)]=a2+b2eax[(a2+b2)sinbx]=eaxsinbx,
since the cosbx terms −ab and +ab cancel and the sinbx terms combine to (a2+b2). The denominator cancels, recovering the integrand exactly. This verification is an acceptable derivation when a question says "show that the integral equals …", and it is far quicker than two applications of parts — a useful time-saver under exam pressure.
Repeated integration by parts is one of the most connected techniques in Further calculus. It is the engine of reduction formulae (the next lesson): every reduction formula In=…In−2 is derived by a single, carefully-arranged application of parts. It supplies the (lny)2 integral needed for volumes of revolution about the y-axis, and the xsinx integral needed for the shell method. The cyclic case (eax times trig) links beautifully to complex numbers via Euler's formula (see Going further), and to second-order differential equations, where particular integrals of the form eaxsinbx arise constantly. Even improper integrals lean on it — e.g. ∫0∞xne−xdx=n! is repeated parts plus a limit. Recognising parts as a single tool with many applications, rather than a separate trick per problem type, is what makes the rest of the course cohere.
(Specimen-style — not a real past paper.)
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