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KIX1001 2020/2021 Semester 1 — Paper 1

Paper details

Academic session 2020/2021, Semester 1 · 2 questions · 6 printed pages · 1.5 hours. Questions are reproduced in English from the bilingual original. Solutions are worked in full; numbers are given to a sensible precision.

Set selection — read this first

For Questions 1 and 2, students are divided into 3 groups, and each group should solve only its own set of questions:

SetStudent ID ending with
Set 10, 3, 6 and 8
Set 24, 1 and 9
Set 37, 5 and 2

The printed paper contains only one version of Questions 1 and 2: pages 3–6 carry a single set of parts, 1(a)–(c) and 2(a)–(b), and no set-specific variants are printed anywhere in the paper. The three sets therefore differ only in which student ID numbers are told to attempt them — not in the questions themselves. The solutions below are the answers for all three sets.

Reference only — these are not official answers

These solutions are revision aids, not examiner answers. They were produced with the help of a large language model and then checked, but an LLM can still be wrong: expect the occasional arithmetic slip, a different method than your lecturer's, or a misreading of the printed question. The question wording is reproduced by hand from a scan of the original paper, so it too may differ in small ways from what was printed.

Use this page as a worked suggestion to check, not as ground truth. Always compare against the original paper (linked above) and your own lecture notes, and if something here disagrees with your lecturer, trust your lecturer. Marks shown are the paper's allocations, not a marking scheme.

Question 1​

Question 1(a) (4 marks)​

Question

A hyperboloid of one sheet is constructed by connecting two concentric vertically offset rings with tilted wires in the construction of power plant's cooling tower. In order to analyze the force acting on the cooling tower, determine the equation of tangent plane and normal plane at the point (2,4,6)(2,4,6). The support function of the hyperboloid of one sheet structure is

x252+y232−z222=1\frac{x^{2}}{5^{2}}+\frac{y^{2}}{3^{2}}-\frac{z^{2}}{2^{2}}=1
Solution

Technique. Write the surface as a level surface F(x,y,z)=0F(x,y,z)=0. The gradient ∇F\nabla F is normal to the surface, so the tangent plane at a point PP is ∇F(P)⋅[(x,y,z)−P]=0\nabla F(P)\cdot\left[(x,y,z)-P\right]=0, and the normal line is (x,y,z)=P+t ∇F(P)(x,y,z)=P+t\,\nabla F(P).

Take F(x,y,z)=x225+y29−z24−1=0F(x,y,z)=\frac{x^{2}}{25}+\frac{y^{2}}{9}-\frac{z^{2}}{4}-1=0.

Step 1 — gradient.

∇F=(∂F∂x,∂F∂y,∂F∂z)=(2x25,2y9,−z2).\nabla F=\left(\frac{\partial F}{\partial x},\frac{\partial F}{\partial y},\frac{\partial F}{\partial z}\right)=\left(\frac{2x}{25},\frac{2y}{9},-\frac{z}{2}\right).

At P(2,4,6)P(2,4,6):

∇F(2,4,6)=(425,89,−3).\nabla F(2,4,6)=\left(\frac{4}{25},\frac{8}{9},-3\right).

Step 2 — tangent plane.

425(x−2)+89(y−4)−3(z−6)=0.\frac{4}{25}(x-2)+\frac{8}{9}(y-4)-3(z-6)=0 .

Multiply through by 225225 (the LCM of 2525 and 99):

36(x−2)+200(y−4)−675(z−6)=036(x-2)+200(y-4)-675(z-6)=036x−72+200y−800−675z+4050=036x-72+200y-800-675z+4050=036x+200y−675z+3178=0.36x+200y-675z+3178=0 .

Check: 36(2)+200(4)−675(6)+3178=72+800−4050+3178=036(2)+200(4)-675(6)+3178=72+800-4050+3178=0. ✔

Step 3 — normal line. The normal line passes through PP with direction ∇F(P)=(425,89,−3)\nabla F(P)=\left(\tfrac{4}{25},\tfrac{8}{9},-3\right), i.e. with direction proportional to (36,200,−675)(36,200,-675):

x−24/25=y−48/9=z−6−3⟺x−236=y−4200=z−6−675,\frac{x-2}{4/25}=\frac{y-4}{8/9}=\frac{z-6}{-3}\qquad\Longleftrightarrow\qquad \frac{x-2}{36}=\frac{y-4}{200}=\frac{z-6}{-675},

or in parametric form

(x,y,z)=(2,4,6)+t(425,89,−3),t∈R.(x,y,z)=(2,4,6)+t\left(\tfrac{4}{25},\tfrac{8}{9},-3\right),\qquad t\in\mathbb{R}.
Printing check on the given point

Substituting (2,4,6)(2,4,6) into the printed support function gives

425+169−364=−1589225≈−7.06≠1,\frac{4}{25}+\frac{16}{9}-\frac{36}{4}=-\frac{1589}{225}\approx-7.06\neq 1,

so the printed point does not lie on the printed hyperboloid. The standard tangent-plane formula has nevertheless been applied at the printed point: it gives the tangent plane of the level surface F=−1814/225F=-1814/225 that does pass through (2,4,6)(2,4,6), using the normal direction ∇F(2,4,6)\nabla F(2,4,6). Had the point been on the surface, only the constant term would change.

About the "normal plane"

The paper asks for the "normal plane". For a surface the object normally intended is the normal line — the line through the point in the direction of ∇F\nabla F — and that is what is given above. (The only plane through the point whose normal vector is ∇F\nabla F is the tangent plane itself, so a separate "normal plane" would carry no extra information.)

:::

Answer: Tangent plane 36x+200y−675z+3178=036x+200y-675z+3178=0, equivalently 425(x−2)+89(y−4)−3(z−6)=0\frac{4}{25}(x-2)+\frac{8}{9}(y-4)-3(z-6)=0. Normal line x−236=y−4200=z−6−675\frac{x-2}{36}=\frac{y-4}{200}=\frac{z-6}{-675} (direction (36,200,−675)(36,200,-675)).


Question 1(b) (4 marks)​

Question

As a structure engineer, you are required to design a stable structure in the form of cuboid and surrounded by pyramid ends. In order to analyze the stability of the structure, determine the percentage change in volume of the structure. Given that the width, aa of 4 m is increased by 0.01 m, while the length, ll of 10 m is increased by 0.02 m and the height, hh of 6 m is increased by 0.03 m. Please Refer Figure 1.

Figure 1: cuboid of cross-section a x a and length l, capped at both ends by square pyramids of base a and height h
Solution

Technique. Use the total differential of a function of three variables, dV=∂V∂a da+∂V∂l dl+∂V∂h dh\mathrm{d}V=\frac{\partial V}{\partial a}\,\mathrm{d}a+\frac{\partial V}{\partial l}\,\mathrm{d}l+\frac{\partial V}{\partial h}\,\mathrm{d}h, and divide by VV to get the percentage change.

Step 1 — volume of the structure. From Figure 1 the structure is a cuboid of cross-section a×aa\times a and length ll, capped at both ends by square pyramids of base aa and height hh:

V=a2l+2(13a2h)=a2l+23a2h.V=a^{2}l+2\left(\tfrac{1}{3}a^{2}h\right)=a^{2}l+\tfrac{2}{3}a^{2}h .

Step 2 — partial derivatives.

∂V∂a=2al+43ah,∂V∂l=a2,∂V∂h=23a2.\frac{\partial V}{\partial a}=2al+\frac{4}{3}ah,\qquad \frac{\partial V}{\partial l}=a^{2},\qquad \frac{\partial V}{\partial h}=\frac{2}{3}a^{2}.

At a=4a=4, l=10l=10, h=6h=6:

∂V∂a=2(4)(10)+43(4)(6)=80+32=112,\frac{\partial V}{\partial a}=2(4)(10)+\frac{4}{3}(4)(6)=80+32=112,∂V∂l=42=16,∂V∂h=23(4)2=323.\frac{\partial V}{\partial l}=4^{2}=16,\qquad \frac{\partial V}{\partial h}=\frac{2}{3}(4)^{2}=\frac{32}{3}.

Step 3 — total differential. With da=0.01\mathrm{d}a=0.01, dl=0.02\mathrm{d}l=0.02, dh=0.03\mathrm{d}h=0.03 (all in m):

dV=112(0.01)+16(0.02)+323(0.03)=1.12+0.32+0.32=1.76 m3.\mathrm{d}V=112(0.01)+16(0.02)+\frac{32}{3}(0.03)=1.12+0.32+0.32=1.76\ \text{m}^{3}.

Step 4 — percentage change. The original volume is

V=a2l+23a2h=16(10)+23(16)(6)=160+64=224 m3.V=a^{2}l+\tfrac{2}{3}a^{2}h=16(10)+\tfrac{2}{3}(16)(6)=160+64=224\ \text{m}^{3}.

Hence

dVV×100%=1.76224×100%=1114%≈0.786%.\frac{\mathrm{d}V}{V}\times 100\%=\frac{1.76}{224}\times 100\%=\frac{11}{14}\%\approx 0.786\%.

Step 5 — exact check. Using the new dimensions a=4.01a=4.01, l=10.02l=10.02, h=6.03h=6.03:

V′=(4.01)2(10.02)+23(4.01)2(6.03)=225.7646 m3,V'=(4.01)^{2}(10.02)+\tfrac{2}{3}(4.01)^{2}(6.03)=225.7646\ \text{m}^{3},

so the true increase is 225.7646−224=1.7646 m3225.7646-224=1.7646\ \text{m}^{3}, i.e. 0.788%0.788\%. The linear (total-differential) estimate 0.786%0.786\% is therefore accurate to three significant figures, as expected for such small increments.

Answer: dV=1.76 m3\mathrm{d}V=1.76\ \text{m}^{3} out of V=224 m3V=224\ \text{m}^{3}, a percentage increase of 1114%≈0.786%\frac{11}{14}\%\approx 0.786\% (exact value from the new dimensions: 0.788%0.788\%).


Question 1(c) (7 marks)​

Question

You are a manufacturer of metal cones. In order to minimize the material used in the manufacturing process, you need to fabricate the metal cones shown below. You are provided with 3 copper cones with total volume of 15 m³. Each cone consists of the flat base surface and lateral surface. Determine the possible dimensions of the lateral surface for each cone to estimate the amount of copper material needed to construct each cone's lateral surface. (Given the dimensions of cone are height of the cone, hh, the slant length, ss, and the radius of the base, rr). Refer Figure 2.

Figure 2: three copper cones, with height h, slant length s and base radius r labelled
Solution

Technique. This is a constrained optimisation: minimise the lateral surface area A=πrsA=\pi rs subject to a fixed volume, using Lagrange multipliers (one constraint).

Step 1 — set up. For one cone, s=r2+h2s=\sqrt{r^{2}+h^{2}}, so the material needed for the lateral surface is A(r,h)=πrr2+h2A(r,h)=\pi r\sqrt{r^{2}+h^{2}}, and the volume constraint (each cone carries 15/3=5 m315/3=5\ \text{m}^{3}) is g(r,h)=13πr2h−5=0g(r,h)=\tfrac{1}{3}\pi r^{2}h-5=0.

Step 2 — Lagrange conditions. With s=r2+h2s=\sqrt{r^{2}+h^{2}},

∂A∂r=πr2+h2+πr2r2+h2=π(2r2+h2)s,∂A∂h=πrhs,\frac{\partial A}{\partial r}=\pi\sqrt{r^{2}+h^{2}}+\frac{\pi r^{2}}{\sqrt{r^{2}+h^{2}}}=\frac{\pi\left(2r^{2}+h^{2}\right)}{s},\qquad \frac{\partial A}{\partial h}=\frac{\pi rh}{s},∂g∂r=2πrh3,∂g∂h=πr23.\frac{\partial g}{\partial r}=\frac{2\pi rh}{3},\qquad \frac{\partial g}{\partial h}=\frac{\pi r^{2}}{3}.

Setting ∇A=λ∇g\nabla A=\lambda\nabla g:

π(2r2+h2)s=λ 2πrh3,πrhs=λ πr23.\frac{\pi\left(2r^{2}+h^{2}\right)}{s}=\lambda\,\frac{2\pi rh}{3},\qquad \frac{\pi rh}{s}=\lambda\,\frac{\pi r^{2}}{3}.

From the second equation, λ=3hrs\lambda=\dfrac{3h}{rs}. Substituting into the first:

2r2+h2s=2rh3⋅3hrs=2h2s  ⟹  2r2+h2=2h2  ⟹  h2=2r2,\frac{2r^{2}+h^{2}}{s}=\frac{2rh}{3}\cdot\frac{3h}{rs}=\frac{2h^{2}}{s}\;\Longrightarrow\;2r^{2}+h^{2}=2h^{2}\;\Longrightarrow\;h^{2}=2r^{2},h=2 r.h=\sqrt{2}\,r .

Step 3 — apply the volume constraint.

13πr2(2 r)=5  ⟹  r3=152 π=1522π,\frac{1}{3}\pi r^{2}\left(\sqrt{2}\,r\right)=5\;\Longrightarrow\;r^{3}=\frac{15}{\sqrt{2}\,\pi}=\frac{15\sqrt{2}}{2\pi},r=(1522π)1/3≈1.500 m.r=\left(\frac{15\sqrt{2}}{2\pi}\right)^{1/3}\approx 1.500\ \text{m}.

Step 4 — the other two dimensions.

h=2 r=(30π)1/3≈2.122 m,h=\sqrt{2}\,r=\left(\frac{30}{\pi}\right)^{1/3}\approx 2.122\ \text{m},s=r2+h2=r2+2r2=r3≈2.598 m.s=\sqrt{r^{2}+h^{2}}=\sqrt{r^{2}+2r^{2}}=r\sqrt{3}\approx 2.598\ \text{m}.

Step 5 — copper required (lateral surface only).

A=πrs=πr23=π3(1522π)2/3≈12.25 m2 per cone,A=\pi rs=\pi r^{2}\sqrt{3}=\pi\sqrt{3}\left(\frac{15\sqrt{2}}{2\pi}\right)^{2/3}\approx 12.25\ \text{m}^{2}\ \text{per cone},

so the three cones together need 3A≈36.74 m23A\approx 36.74\ \text{m}^{2}.

Step 6 — confirm this is a minimum. Eliminating hh with h=15πr2h=\dfrac{15}{\pi r^{2}} gives

A(r)=πrr2+225π2r4,A(r)→∞ as r→0+ and as r→∞.A(r)=\pi r\sqrt{r^{2}+\frac{225}{\pi^{2}r^{4}}},\qquad A(r)\to\infty\ \text{as}\ r\to 0^{+}\ \text{and as}\ r\to\infty .

The single stationary point r=(1522π)1/3r=\left(\frac{15\sqrt{2}}{2\pi}\right)^{1/3} is therefore the global minimum of AA. The optimum has the classic shape h=2 rh=\sqrt{2}\,r (apex angle 2arctan⁡(r/h)≈70.5∘2\arctan(r/h)\approx 70.5^{\circ}).

Assumption about the three cones

The paper gives only the total volume of the three cones, 15 m315\ \text{m}^{3}; the cones are taken to be identical, so each carries 5 m35\ \text{m}^{3}. (If the volume were free to be shared unequally, the total lateral area would be minimised by loading all 15 m315\ \text{m}^{3} into a single cone, since A∝V2/3A\propto V^{2/3} is concave — not a physical design. The intended reading is three equal cones, so each has volume 5 m35\ \text{m}^{3}.)

:::

Answer: Each cone: radius r=(1522π)1/3≈1.500 mr=\left(\frac{15\sqrt{2}}{2\pi}\right)^{1/3}\approx 1.500\ \text{m}, height h=2 r=(30π)1/3≈2.122 mh=\sqrt{2}\,r=\left(\frac{30}{\pi}\right)^{1/3}\approx 2.122\ \text{m} and slant length s=r3≈2.598 ms=r\sqrt{3}\approx 2.598\ \text{m}, giving a lateral surface area of πrs≈12.25 m2\pi r s\approx 12.25\ \text{m}^{2} per cone and ≈36.74 m2\approx 36.74\ \text{m}^{2} of copper for all three cones.


Question 2​

Question 2(a) (7 marks)​

Question

In a distortion analysis, the eigenvalues

(2000−50007)\begin{pmatrix}2&0&0\\0&-5&0\\0&0&7\end{pmatrix}

give the distortion induced by the transformation and the corresponding eigenvectors

(2−11−12−11−12)\begin{pmatrix}2&-1&1\\-1&2&-1\\1&-1&2\end{pmatrix}

are the orientation of the distortion according to AX=λXAX=\lambda X where, λ\lambda is the eigenvalues and XX is the corresponding eigenvectors. Find matrix AA before the distortion happened.

Solution

Technique. The columns of the eigenvector matrix are the eigenvectors, so with P=(2−11−12−11−12)P=\begin{pmatrix}2&-1&1\\-1&2&-1\\1&-1&2\end{pmatrix} (columns X1,X2,X3X_1,X_2,X_3) and D=diag⁡(2,−5,7)D=\operatorname{diag}(2,-5,7) we have AP=PDAP=PD, hence A=PDP−1A=PDP^{-1}.

Step 1 — determinant of PP.

det⁡P=2(4−1)+1(−2+1)+1(1−2)=6−1−1=4≠0,\det P=2(4-1)+1(-2+1)+1(1-2)=6-1-1=4\neq 0,

so PP is invertible.

Step 2 — inverse of PP. The cofactor matrix is

C=(31−1131−113),P−1=1det⁡P CT=14(31−1131−113).C=\begin{pmatrix}3&1&-1\\1&3&1\\-1&1&3\end{pmatrix},\qquad P^{-1}=\frac{1}{\det P}\,C^{\mathsf T}=\frac{1}{4}\begin{pmatrix}3&1&-1\\1&3&1\\-1&1&3\end{pmatrix}.

Step 3 — PDPD. Multiplying column jj of PP by λj\lambda_j:

PD=(457−2−10−72514).PD=\begin{pmatrix}4&5&7\\-2&-10&-7\\2&5&14\end{pmatrix}.

Step 4 — multiply out A=PDP−1=14(PD)CTA=PDP^{-1}=\frac{1}{4}(PD)C^{\mathsf T}.

Row 1 of PDPD times the columns of CTC^{\mathsf T}:

4(3)+5(1)+7(−1)=10,4(1)+5(3)+7(1)=26,4(−1)+5(1)+7(3)=22.4(3)+5(1)+7(-1)=10,\quad 4(1)+5(3)+7(1)=26,\quad 4(-1)+5(1)+7(3)=22 .

Row 2:

−2(3)−10(1)−7(−1)=−9,−2(1)−10(3)−7(1)=−39,−2(−1)−10(1)−7(3)=−29.-2(3)-10(1)-7(-1)=-9,\quad -2(1)-10(3)-7(1)=-39,\quad -2(-1)-10(1)-7(3)=-29 .

Row 3:

2(3)+5(1)+14(−1)=−3,2(1)+5(3)+14(1)=31,2(−1)+5(1)+14(3)=45.2(3)+5(1)+14(-1)=-3,\quad 2(1)+5(3)+14(1)=31,\quad 2(-1)+5(1)+14(3)=45 .

Therefore

A=14(102622−9−39−29−33145)=(2.56.55.5−2.25−9.75−7.25−0.757.7511.25).A=\frac{1}{4}\begin{pmatrix}10&26&22\\-9&-39&-29\\-3&31&45\end{pmatrix}=\begin{pmatrix}2.5&6.5&5.5\\-2.25&-9.75&-7.25\\-0.75&7.75&11.25\end{pmatrix}.

Step 5 — verify. AA must reproduce AX=λXAX=\lambda X for each eigenvector, e.g.

A(2−11)=14(20−26+22−18+39−29−6−31+45)=14(16−88)=(4−22)=2(2−11) ✓A\begin{pmatrix}2\\-1\\1\end{pmatrix}=\frac{1}{4}\begin{pmatrix}20-26+22\\-18+39-29\\-6-31+45\end{pmatrix}=\frac{1}{4}\begin{pmatrix}16\\-8\\8\end{pmatrix}=\begin{pmatrix}4\\-2\\2\end{pmatrix}=2\begin{pmatrix}2\\-1\\1\end{pmatrix}\ \checkmark

Also tr⁡A=2.5−9.75+11.25=4=2+(−5)+7\operatorname{tr}A=2.5-9.75+11.25=4=2+(-5)+7 and det⁡A=2(−5)(7)=−70\det A=2(-5)(7)=-70, both matching the given eigenvalues. ✔

Answer: A=14(102622−9−39−29−33145)=(2.56.55.5−2.25−9.75−7.25−0.757.7511.25)A=\frac{1}{4}\begin{pmatrix}10&26&22\\-9&-39&-29\\-3&31&45\end{pmatrix}=\begin{pmatrix}2.5&6.5&5.5\\-2.25&-9.75&-7.25\\-0.75&7.75&11.25\end{pmatrix}.


Question 2(b) (8 marks)​

Question

As a consultant engineer, you need to consult a client on the cost of repairing a gas pipeline. You have come out with proposal A, B and C. For proposal A, the installation cost is triple, the material cost is double and the painting cost is triple. The total cost of the repairment is RM 10 000. For proposal B, the installation cost is double, the material cost is 5 times more expensive and the painting cost is double. The total cost of the repairment is RM 12 000. For proposal C, the installation cost is cheaper by 1/3 in comparison to proposal A, the material cost is triple and the painting cost is double. The total cost of the repairment is RM 8 000. Find the installation cost, material cost and painting cost for each of the proposal respectively using Cramer's Rule.

Solution

Technique. Let II, MM and PP be the base installation, material and painting costs. Each proposal gives one linear equation (the multipliers of the base costs are the coefficients), so we have a 3×33\times3 system to be solved by Cramer's rule I=det⁡AIdet⁡AI=\frac{\det A_I}{\det A}, M=det⁡AMdet⁡AM=\frac{\det A_M}{\det A}, P=det⁡APdet⁡AP=\frac{\det A_P}{\det A}.

Step 1 — build the system exactly as printed.

ProposalInstallationMaterialPaintingTotal (RM)
A3I3I2M2M3P3P10 000
B2I2I5M5M2P2P12 000
C2I2I3M3M2P2P8 000
A=(323252232),b=(10000120008000).A=\begin{pmatrix}3&2&3\\2&5&2\\2&3&2\end{pmatrix},\qquad \mathbf{b}=\begin{pmatrix}10000\\12000\\8000\end{pmatrix}.

Step 2 — the printed coefficients are singular. Expanding along the first row,

det⁡A=3(10−6)−2(4−4)+3(6−10)=12−0−12=0.\det A=3(10-6)-2(4-4)+3(6-10)=12-0-12=0 .

Cramer's rule cannot be applied, and the system is in fact inconsistent: the first row satisfies (3,2,3)=−54(2,5,2)+114(2,3,2)(3,2,3)=-\tfrac{5}{4}(2,5,2)+\tfrac{11}{4}(2,3,2), but the right-hand sides give −54(12000)+114(8000)=−15000+22000=7000≠10000-\tfrac{5}{4}(12000)+\tfrac{11}{4}(8000)=-15000+22000=7000\neq 10000. So no triple (I,M,P)(I,M,P) satisfies all three printed equations — see the note below for the reading adopted.

Step 3 — solve the corrected system by Cramer's rule. Reading proposal B's painting cost as triple (coefficient 33), which keeps the installation column 3,2,23,2,2 that the question fixes explicitly:

A=(323253232).A=\begin{pmatrix}3&2&3\\2&5&3\\2&3&2\end{pmatrix}.

Determinant of AA:

det⁡A=3(10−9)−2(4−6)+3(6−10)=3+4−12=−5.\det A=3(10-9)-2(4-6)+3(6-10)=3+4-12=-5 .

Replacing the II-column:

det⁡AI=det⁡(10000231200053800032)=10000(10−9)−2(24000−24000)+3(36000−40000)=10000−0−12000=−2000,\det A_I=\det\begin{pmatrix}10000&2&3\\12000&5&3\\8000&3&2\end{pmatrix}=10000(10-9)-2(24000-24000)+3(36000-40000)=10000-0-12000=-2000,I=det⁡AIdet⁡A=−2000−5=400.I=\frac{\det A_I}{\det A}=\frac{-2000}{-5}=400 .

Replacing the MM-column:

det⁡AM=det⁡(31000032120003280002)=3(24000−24000)−10000(4−6)+3(16000−24000)=0+20000−24000=−4000,\det A_M=\det\begin{pmatrix}3&10000&3\\2&12000&3\\2&8000&2\end{pmatrix}=3(24000-24000)-10000(4-6)+3(16000-24000)=0+20000-24000=-4000,M=det⁡AMdet⁡A=−4000−5=800.M=\frac{\det A_M}{\det A}=\frac{-4000}{-5}=800 .

Replacing the PP-column:

det⁡AP=det⁡(32100002512000238000)=3(40000−36000)−2(16000−24000)+10000(6−10)=12000+16000−40000=−12000,\det A_P=\det\begin{pmatrix}3&2&10000\\2&5&12000\\2&3&8000\end{pmatrix}=3(40000-36000)-2(16000-24000)+10000(6-10)=12000+16000-40000=-12000,P=det⁡APdet⁡A=−12000−5=2400.P=\frac{\det A_P}{\det A}=\frac{-12000}{-5}=2400 .

Step 4 — cost of each proposal. Applying that proposal's multipliers to the base costs:

ProposalInstallationMaterialPaintingTotal (RM)
A3(400)=12003(400)=12002(800)=16002(800)=16003(2400)=72003(2400)=720010 000 ✔
B2(400)=8002(400)=8005(800)=40005(800)=40003(2400)=72003(2400)=720012 000 ✔
C2(400)=8002(400)=8003(800)=24003(800)=24002(2400)=48002(2400)=48008 000 ✔

All three printed totals are reproduced exactly.

Printing error in proposal B

The printed data are inconsistent. Proposals A and C as printed are mutually consistent and force M=800M=800 and I+P=2800I+P=2800; proposal B as printed would then need 2I+5M+2P=2(2800)+4000=96002I+5M+2P=2(2800)+4000=9600, not the printed RM 12 000, and its coefficient row (2,5,2)(2,5,2) is parallel to the other two rows, so det⁡A=0\det A=0.

One coefficient of proposal B must therefore be 33, not 22. The solution above takes proposal B's painting cost as triple (33), because the installation column 3,2,23,2,2 is fixed explicitly by the wording (A triple, B double, C "cheaper by 1/31/3 in comparison to A", i.e. 3×23=23\times\tfrac{2}{3}=2). Under the other equally plausible single-entry correction — proposal B's installation cost triple, giving rows (3,2,3)(3,2,3), (3,5,2)(3,5,2), (2,3,2)(2,3,2) and det⁡A=5\det A=5 — the solution is instead I=RM 2400I=\text{RM }2400, M=RM 800M=\text{RM }800, P=RM 400P=\text{RM }400, with proposal costs A: 7200, 1600, 1200; B: 7200, 4000, 800; C: 4800, 2400, 800. Note that in both readings M=RM 800M=\text{RM }800 and the printed A and C totals are satisfied exactly; only the split of the RM 2800 between II and PP depends on which figure in proposal B is corrected.

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Answer: Installation I=RM 400I=\text{RM }400, material M=RM 800M=\text{RM }800, painting P=RM 2400P=\text{RM }2400 per unit of the multipliers, i.e.

  • Proposal A — installation RM 1 200, material RM 1 600, painting RM 7 200 (total RM 10 000);
  • Proposal B — installation RM 800, material RM 4 000, painting RM 7 200 (total RM 12 000);
  • Proposal C — installation RM 800, material RM 2 400, painting RM 4 800 (total RM 8 000).

TAMAT / END