Q.Case Study -2 LED bulbs are energy-efficient because they use significantly less electricity than traditional bulbs while producing the same amount of light. They convert more energy into light rather than heat, reducing waste. Additionally, their long lifespan means fewer replacements, saving resources and money over time. A company manufactures a new type of energy -efficient LED bulb. The cost of production and the revenue generated by selling x bulbs (in an hour) are modelled as 𝐶(𝑥) = 0.5𝑥2 − 10𝑥 + 150 and 𝑅(𝑥) = −0.3𝑥2 + 20𝑥 respectively, where 𝐶(𝑥) and 𝑅(𝑥) are both in ₹. To maximize the profit, the company needs to analyze these functions using calculus. Use the given models to answer the following questions: I. Derive the profit function 𝑃(𝑥) [1] II. Find the critical points of 𝑃(𝑥). [1] III
(A) Determine whether the critical points correspond to a maximum or a minimum profit by using the second derivative test.
(B) Identify the possible practical value of 𝑥 (i.e., the number of bulbs that can realistically be produced and sold) that can maximize the profit, if the resources available and the expenditure on machines allows to produce minimum 10 but not more than 18 bulbs per hour. Also calculate the maximum profit. [2] 4
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🔒 Start your 14-day free trial to unlock the full solution →Part (a)Concept understanding — Profit Maximization
Profit Maximization
A business earns revenue from selling goods and pays out costs to make them. Profit is simply what is left over:
P(x)=R(x)−C(x)
where x is the number of units produced (or sold), R(x) is the total revenue and C(x) is the total cost. Profit maximization asks a very concrete question: what value of x makes P(x) as large as possible? In the Application of Derivatives chapter this is just a maxima-and-minima problem in disguise.
The intuition
Produce very little and you earn almost nothing; produce far too much and your costs run ahead of your revenue. Somewhere in between there is a sweet spot. As you increase production, profit first rises, then flattens, then falls — so at the top the rate of change of profit is momentarily zero. That is exactly what a derivative detects.
Finding the maximum
Treat P(x) as a differentiable function and follow the standard optimisation steps:
- Differentiate: P′(x)=R′(x)−C′(x).
- Set the derivative to zero to locate critical points: P′(x)=0 ⇒ R′(x)=C′(x).
- Confirm it is a maximum with the second-derivative test: profit is maximised at a critical point x∗ where
P′′(x∗)<0.
R′(x) (the rate of change of revenue) and C′(x) (the rate of change of cost) are the marginal revenue and marginal cost. So the condition R′(x)=C′(x) says profit peaks where the extra revenue from one more unit exactly balances its extra cost — beyond that point each additional unit costs more than it earns.
A quick illustration
Suppose P(x)=100x−2x2 (in rupees). Then P′(x)=100−4x. Setting P′(x)=0 gives x=25. Since P′′(x)=−4<0, the profit is indeed greatest at x=25 units. …
Part (b)Concept understanding — Optimization Word Problem
Optimization Word Problems
Imagine planning a garden with 40 metres of fencing and wanting the largest rectangular area. A long, thin rectangle wastes space; a square feels roomier; somewhere in between lies the best shape. That is an optimisation problem — a fixed resource and a quantity to make as large (or as small) as possible.
Every optimisation word problem has the same skeleton: the best outcome — maximum area, minimum cost, largest volume, shortest time — under a constraint — limited material, a fixed budget, a given perimeter.
The Plan of Attack
The problem gives you a story, not a graph. Your job is to turn it into a single-variable function and find its peak or valley:
- Name the quantity to optimise — call it Q, and write it using variables.
- Find the constraint — a relation between those variables (e.g. "perimeter =40").
- Reduce to one variable — use the constraint to eliminate the rest.
- Differentiate — solve Q′(x)=0 to find the critical points.
- Confirm — use Q′′(x)<0 for a maximum or Q′′(x)>0 for a minimum.
- Answer the question asked — give the actual dimensions/cost, not just x.
In board exams these problems almost always reduce to a quadratic or cubic. Once Q(x) is written, the calculus is mechanical.
The Garden, Worked
40 m of fencing encloses a rectangle; maximise the area.
- Objective: A=lw.
- Constraint: 2l+2w=40, so l+w=20.
- Reduce: w=20−l, giving A(l)=l(20−l)=20l−l2.
- Differentiate: A′(l)=20−2l=0⟹l=10.
- Confirm: A′′(l)=−2<0, a maximum.
So l=w=10 m — a 10 m × 10 m square.
A common slip: solving A′(l)=0 and stopping. Always check max vs min, and answer in the units asked.
The Common Families
| Problem type | Typical objective | Typical constraint |
|--------------|-------------------|--------------------| …
I. Profit function. P(x)=R(x)−C(x)=(−0.3x2+20x)−(0.5x2−10x+150)
P(x)=−0.8x2+30x−150.
II. Critical point. P′(x)=−1.6x+30=0⇒x=18.75.
Part (a) …
P(x)=−0.8x2+30x−150 with critical point x=18.75; P′′=−1.6<0 so it is a maximum. On the practical range 10≤x≤18 profit is still increasing, so the best feasible output is x=18 bulbs giving a maximum profit of ₹130.80.
I. Profit function. Profit = revenue − cost:
P(x)=R(x)−C(x)=(−0.3x2+20x)−(0.5x2−10x+150)=−0.8x2+30x−150.
II. Critical point. Differentiate and set to zero:
P′(x)=−1.6x+30=0⟹x=1.630=18.75.
Part (a)
III(A). Nature by the second-derivative test.
P′′(x)=−1.6<0for all x. …
Method: Optimizing a Function via Critical Points, Then Checking a Restricted Domain
This method applies to any "maximize/minimize this quantity" problem built from two given functions (like revenue and cost combining into profit), including case-study questions that also ask you to respect a realistic, restricted range of values.
Steps
Step 1: Build the function you actually need to optimize
If the quantity of interest is a combination of given functions (e.g. profit = revenue − cost), write it out explicitly and simplify:
P(x)=R(x)−C(x)
Step 2: Differentiate and find the critical point(s)
Compute P′(x) and solve P′(x)=0. Any solution is a candidate for a maximum or minimum — you have not yet decided which.
Step 3: Classify the critical point with the second-derivative test
Compute P′′(x) and evaluate its sign at the critical point:
P′′(x∗)<0⟹local maximum,P′′(x∗)>0⟹local minimum
For a quadratic P(x), P′′(x) is a constant, so this sign holds everywhere — the critical point is a global maximum (or minimum) of the unrestricted function. …
Common Mistakes
Mistake 1: Sign error when subtracting the cost function
P(x)=R(x)−C(x) requires distributing the minus sign across every term of C(x): −(0.5x2−10x+150)=−0.5x2+10x−150. A student who only flips the sign of the first term gets a wrong profit function, corrupting every part that follows.
Mistake 2: Reporting the unconstrained critical point as the answer to part III(B)
x=18.75 maximizes profit with no restriction, but part III(B) restricts production to 10≤x≤18. Since 18.75 falls outside this range, simply reusing it (or rounding it to 19) ignores the constraint — the correct approach is to check the sign of P′(x) on [10,18] and, since profit is still increasing there, take the right endpoint x=18. …
Showing the 12 most recent of 19 on this concept.
- AP EAPCET 2026Set eng-2026-05-15-AN1 markMCQQ.The maximum area of the rectangle that can be inscribed in a circle of radius r is (A) 43r (B) r2 (C) 4r2 (D) 2r2
›Reveal solutionSolution
The rectangle of maximum area that fits inside a circle is always a square; working through the calculus confirms the maximum area is 2r2.
Concept and Intuition
Every rectangle inscribed in a circle has its diagonal equal to the circle's diameter, since all four corners lie on the circle and the diagonal subtends the full circle. Among rectangles with a fixed diagonal, the one with maximum area is the square — this is the geometric content behind the calculus optimization below.
Step-by-Step Solution
- Let the rectangle have half-width x and half-height y (centered at the circle's center), so its full diagonal equals the diameter 2r: x2+y2=r2.
- Area A=(2x)(2y)=4xy.
- Maximize A subject to x2+y2=r2. Parametrize x=rcosθ, y=rsinθ, so A=4r2sinθcosθ=2r2sin2θ.
- A is maximized when sin2θ=1, i.e. θ=π/4, giving Amax=2r2. …
- AP EAPCET 2026Set eng-2026-05-18-FN1 markMCQQ.The maximum volume (in cu. m) of the right circular cone having slant height 3m. is (A) 6π (B) 33π (C) 34π (D) 23π
›Reveal solutionSolution
Express the cone's volume in terms of its height alone using the fixed slant height, then maximize; the maximum volume is 23π m3.
Concept and Intuition
With the slant height l fixed, radius and height are linked by r2+h2=l2 (Pythagoras on the cone's cross-section). This turns a two-variable optimization (over r and h) into a single-variable one, which we handle with ordinary calculus.
Step-by-Step Solution
- Given l=3, so r2+h2=9 ⇒ r2=9−h2 (with 0<h<3).
- Volume of a cone:
V=31πr2h=3π(9−h2)h=3π(9h−h3).
- Differentiate with respect to h and set to zero:
dhdV=3π(9−3h2)=0 ⇒ h2=3 ⇒ h=3.
- Check it's a maximum: dh2d2V=3π(−6h)<0 for h>0, confirming a maximum.
- Substitute back: …
- AP EAPCET 2026Set eng-2026-05-18-AN1 markMCQQ.If a sector of maximum area is made with a wire of length 40 cm, then the area (in sq cms) of that sector is (A) 50 (B) 100 (C) 25 (D) 200
›Reveal solutionSolution
Maximize sector area subject to a fixed wire (perimeter = two radii + arc) using single-variable calculus.
Concept and Intuition
A sector's boundary made of wire consists of two straight radii plus the curved arc, so the constraint is 2r+s=40 where s=rθ is the arc length. The area formula A=21rs (half the product of radius and arc length) then becomes a function of r alone once s is eliminated via the constraint, letting ordinary optimization find the maximizing radius.
Step-by-Step Solution
- Constraint: 2r+s=40⇒s=40−2r (with 0<r<20).
- Area: A=21rs=21r(40−2r)=20r−r2.
- Differentiate: drdA=20−2r. Set to zero: r=10.
- Check it's a maximum: dr2d2A=−2<0, confirming a maximum. …
- AP EAPCET 2025Set eng-2025-05-22-AN1 markMCQQ.If the area of a right angled triangle with hypotenuse 5 is maximum, then its perimeter is (A) 12 (B) 23+13+5 (C) 7+21 (D) 5(2+1)
›Reveal solutionSolution
This tests the AM–GM / Lagrange idea that for a fixed hypotenuse, the right triangle of maximum area is isosceles; the perimeter then works out to 5(2+1).
Concept and Intuition
For a right triangle with hypotenuse h fixed, a2+b2=h2 is constant. The area is 21ab, so maximizing area means maximizing the product ab subject to a fixed sum of squares. By AM–GM, 2a2+b2≥ab, with equality exactly when a=b. So the symmetric (isosceles) right triangle always has the largest area for a given hypotenuse — no calculus needed, though calculus confirms it.
Step-by-Step Solution
- Let the legs be a,b with a2+b2=25 (hypotenuse =5).
- Area =21ab is maximized when a=b (AM–GM equality case), i.e. 2a2=25⇒a=b=25. …
- AP EAPCET 2025Set eng-2025-05-26-AN1 markMCQQ.If P(α,β) is a point on the curve 9x2+4y2=144 in the first quadrant and the minimum area of the triangle formed by the tangent of the curve at P with the coordinate axis is S, then (A) S=αβ (B) S=αβ (C) S=2αβ (D) S=2αβ
›Reveal solutionSolution
The tangent-line intercept triangle's area, minimized over the ellipse, works out to exactly twice the product of the point's coordinates.
Concept and Intuition
The ellipse 9x2+4y2=144 is 16x2+36y2=1. The tangent at any point cuts the axes to form a right triangle whose area depends on where on the ellipse you are; calculus (or AM–GM) finds where that area is smallest, and then we check what algebraic relation the minimizing point's coordinates satisfy with that minimum area.
Step-by-Step Solution
- Ellipse: 16x2+36y2=1. Tangent at P(α,β): 16xα+36yβ=1.
- Intercepts: x-intercept =α16, y-intercept =β36.
- Triangle area: S=21⋅α16⋅β36=αβ288.
- Parametrize α=4cosθ, β=6sinθ (0<θ<π/2 for the first quadrant): S=24sinθcosθ288=sin2θ24. …
- AP EAPCET 2024Set eng-2024-05-22-FN1 markMCQQ.If a running track of 500 ft. is to be laid out enclosing a playground, the shape of which is a rectangle with a semicircle at each end, then the length of the rectangular portion such that the area of the rectangular portion is to be maximum is (in feet). (A) 100 (B) 125 (C) 150 (D) 200
›Reveal solutionSolution
This is a classic optimization problem: maximize the rectangular area of a stadium-shaped track of fixed perimeter. Answer: x=125 ft.
Concept and Intuition
The track's total perimeter is fixed at 500 ft. The two semicircular ends together form one full circle, and the two straight sides form the rectangle's length. Expressing the rectangle's area purely in terms of its length x (using the perimeter constraint to eliminate the radius) turns this into a single-variable calculus optimization.
Step-by-Step Solution
- Let the rectangle have length x and width 2r (so the semicircles at each end have radius r).
- Total track length: two straight sides of length x each, plus two semicircles (radius r) which together make one full circle of circumference 2πr: 2x+2πr=500⇒x+πr=250⇒r=π250−x.
- Area of the rectangular portion: A=x⋅2r=2x⋅π250−x=π500x−2x2. …
- AP EAPCET 2023Set eng-2023-05-16-FN1 markMCQQ.Given that the solid obtained by rotating a rectangle about one of its side is a cylinder. If the perimeter of a rectangle is 48 cm and the volume of the cylinder formed by rotating it is maximum, then the dimensions of that rectangle is (A) 14, 10 (B) 20, 4 (C) 18, 6 (D) 8, 16
›Reveal solutionSolution
Maximise V=πr2h subject to 2(r+h)=48; the optimum rectangle is 8×16.
Concept and Intuition
Rotating a rectangle about one of its sides sweeps the opposite side around in a circle, producing a cylinder whose height equals the rotation-axis side and whose radius equals the other side. This converts a plane geometry optimisation into a single-variable calculus problem once the perimeter constraint eliminates one variable.
Step-by-Step Solution
- Let the side about which we rotate be h (height of the cylinder) and the other side be r (radius of the cylinder).
- Perimeter constraint: 2(h+r)=48⇒h+r=24⇒h=24−r.
- Volume: V(r)=πr2h=πr2(24−r)=π(24r2−r3).
- drdV=π(48r−3r2)=3πr(16−r). Setting this to zero: r=0 (rejected, degenerate) or r=16.
- Then h=24−16=8. …
- AP EAPCET 2023Set eng-2023-05-19-FN1 markMCQQ.If the height of a cone of greatest volume that can be inscribed in a sphere of radius R is kR, then ratio of the volume of the cone to the volume of the sphere is (A) 8:27 (B) 27:64 (C) 8:125 (D) 4:5
›Reveal solutionSolution
Standard optimization: the cone of greatest volume inscribed in a sphere has height 4R/3, and its volume is 8/27 of the sphere's.
Concept and Intuition
Setting the base circle of the cone at height h above the sphere's lowest point (with apex at that lowest point), the base radius satisfies r2=2Rh−h2 by the geometry of the circle. Maximizing V(h)=31πr2h gives the classical height 34R.
Step-by-Step Solution
- r2=R2−(h−R)2=2Rh−h2.
- V(h)=31πr2h=31π(2Rh2−h3).
- dhdV=31π(4Rh−3h2)=31πh(4R−3h); setting this to 0 (excluding h=0) gives h=34R, so k=34.
- At this h: r2=2R⋅34R−(34R)2=38R2−916R2=98R2.
- Vmax=31π⋅98R2⋅34R=8132πR3.
- Vsphere=34πR3. …
- AP EAPCET 2022Set eng-2022-07-04-AN1 markMCQQ.A closed cylinder of given volume will have least surface area when the ratio of its height and base radius is (A) 2:1 (B) 1:2 (C) 2:3 (D) 3:2
›Reveal solutionSolution
Minimising the total surface area of a closed cylinder for a fixed volume, via ordinary calculus, gives the classic result h=2r, i.e. height-to-radius ratio 2:1.
Concept and Intuition
This is a standard optimisation problem: express the surface area as a function of one variable (using the volume constraint to eliminate the other), then find where its derivative vanishes.
Step-by-Step Solution
- Volume constraint: V=πr2h⇒h=πr2V.
- Total surface area (closed cylinder, both circular ends included): S=2πr2+2πrh.
- Substitute h: S=2πr2+2πr⋅πr2V=2πr2+r2V.
- Differentiate with respect to r: drdS=4πr−r22V.
- Set to zero: 4πr=r22V⇒4πr3=2V⇒r3=2πV.
- Since V=πr2h: r3=2ππr2h=2r2h⇒r=2h⇒h=2r. …
- AP EAPCET 2022Set eng-2022-07-06-FN1 markMCQQ.The maximum area of a right angled triangle with hypotenuse h is (A) 22h2 (B) 2h2 (C) 2h2 (D) 4h2
›Reveal solutionSolution
Maximising the area of a right triangle with fixed hypotenuse h occurs at the isosceles case, giving area h2/4.
Concept and Intuition
For a right triangle with legs a,b and fixed hypotenuse h (so a2+b2=h2 is a constraint), the area 21ab is maximised by symmetry when a=b — this is a classic constrained-optimisation result, provable via calculus or the AM-GM inequality (a2+b2≥2ab, so ab≤2a2+b2=2h2, with equality iff a=b).
Step-by-Step Solution
- Let the legs be a and b=h2−a2 (from Pythagoras), and area S=21ah2−a2.
- Maximise S2=41a2(h2−a2) instead (avoids the square root). Let u=a2: S2=41u(h2−u), a downward parabola in u, maximised at u=h2/2.
- So a2=h2/2⇒a=h/2, and then b2=h2−a2=h2/2⇒b=h/2 too — the triangle is isosceles right-angled. …
- AP EAPCET 2022Set eng-2022-07-07-AN1 markMCQQ.If an open cylinder of given surface area has maximum volume then its radius is (A) Height of the cylinder (B) Height of the cylinder / 2 (C) 2 times Height of the cylinder (D) 3 times Height of the cylinder
›Reveal solutionSolution
A constrained-optimisation problem: maximise the volume of an open cylinder for a fixed surface area. Answer: the radius equals the height (r=h).
Concept and Intuition
"Open" cylinder means it has only one circular base (like a cup, no lid), so its total surface area is base + lateral surface, S=πr2+2πrh — different from a closed cylinder (two bases) which would give a different optimum (h=2r). Fixing S lets you express h in terms of r, turning the volume into a single-variable function of r to maximise.
Step-by-Step Solution
- Surface constraint: S=πr2+2πrh⇒h=2πrS−πr2.
- Volume: V=πr2h=πr2⋅2πrS−πr2=2r(S−πr2)=2Sr−πr3.
- Differentiate w.r.t. r and set to zero: drdV=2S−3πr2=0⇒S=3πr2. …
- AP EAPCET 2022Set eng-2022-07-07-FN1 markMCQQ.The perimeter of a sector is constant. If its area is to be maximum, the sectorical angle should be (A) 6πc (B) 4πc (C) 4c (D) 2c
›Reveal solutionSolution
Expressing the sector's area purely in terms of its radius (using the fixed-perimeter constraint) and maximizing gives r=P/4, and back-substituting gives the optimal sectorial angle θ=2 radians.
Concept and Intuition
A circular sector's boundary consists of two straight radii and one arc, so its perimeter is P=2r+rθ. Since P is held fixed, θ is not a free variable — it is determined by r. This turns the two-variable area formula A=21r2θ into a single-variable optimisation problem in r alone.
Step-by-Step Solution
- Perimeter: P=2r+rθ (constant) ⇒θ=rP−2r.
- Area: A=21r2θ=21r2⋅rP−2r=21r(P−2r)=2Pr−r2.
- Differentiate w.r.t. r: drdA=2P−2r. Set to zero: r=4P.
- Second derivative dr2d2A=−2<0, confirming a maximum.
- Substitute back into θ=rP−2r: with r=P/4, θ=P/4P−P/2=P/4P/2=2. …
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