CUET UG Mathematics Booster Test 2 - Maxima and Minima Concepts
📌 Answers are locked once submitted — results and explanations appear at the end.
QUESTION 1 OF 20
If a graph shows a sharp, non-differentiable peak at \(x=c\) where the function is continuous, what can be said about \(f(c)\)?
QUESTION 2 OF 20
If marginal cost is \(MC=\frac{dC}{dx}=x^{2}-6x+9\), at what \(x\) does the rate change indicate a local minimum cost?
QUESTION 3 OF 20
Steps for Second Derivative Test:
1. Check \(f^{''}(c)>0\) or \(f^{''}(c)<0\)
2. Find \(f^{'}(x)\)and set \(f^{'}(x)=0\) to get critical points
3. Conclude maxima/minima
4. Compute \(f^{''}(x)\)
QUESTION 4 OF 20
Match the Following
| List I | List II |
|---|---|
| 1. \(f(x)=x^{3}\) | a. Local min at \(x=0\) |
| 2. \(f(x)=x^{2}\) | b. Neither max nor min, point of inflection at \(x=0\) |
| 3. \(f(x)=-x^{2}\) | c. Local max at \(x=0\) |
QUESTION 5 OF 20
A curve shows a clear turning peak. The absolute maximum occurs where:
QUESTION 6 OF 20
Assertion (A): At the top of a smooth hill, \(f^{'}(c)=0\).
Reason (R): A local maximum implies \(f^{'}(c)=0\) and concave downward \(\left(f^{''}(c)<0\right)\).
QUESTION 7 OF 20
For \(f(x)=x\) on \(\left(0\ ,\ 1\right)\):
(I) No absolute maximum
(II) No absolute minimum
(III) Has a turning point
QUESTION 8 OF 20
For a continuous function on \(\left[a\ ,\ b\right]\):
QUESTION 9 OF 20
If profit \(P(x)=-x^{2}+4x\), when is it maximized?
QUESTION 10 OF 20
For a cylinder of maximum curved surface area inscribed in a cone, the radius ratio \(r/R=1/2\). What is the ratio \(R:r\)?
QUESTION 11 OF 20
What is the calculated shortest distance of the point (0,3) from the upward parabola \(y=x^{2}\)?
QUESTION 12 OF 20
Two positive numbers whose sum is strictly 15 have the absolute minimum sum of squares when they are equal. What is the probability of randomly selecting one of these optimal numbers from the finite set {1,2,3,…,15}?
QUESTION 13 OF 20
Find the total area of the largest mathematically possible rectangle that can be inscribed inside a circle of fixed radius R.
QUESTION 14 OF 20
The absolute minimum value of the function \(f(x)=x^{2}-4x+5\) computed on the closed interval [0,4] occurs specifically at:
QUESTION 15 OF 20
A given continuous function is strictly decreasing on the interval [a,b]. What represents its absolute minimum value?
QUESTION 16 OF 20
Assertion (A): By Theorem 6, if a function \(f\) is differentiable on an interval and attains an absolute maximum at an interior point \(c\), then conclusively:
Reason (R): \(f^{'}(c)=0\)
QUESTION 17 OF 20
For the function \(f(x)=∣x∣\), the mathematically critical point at \(x=0\) is classified strictly because:
QUESTION 18 OF 20
On a continuous function graph, if a critical point is logically neither a maxima nor a minima, it visually resembles:
QUESTION 19 OF 20
Which of the following continuous, smooth functions completely lacks a maximum value anywhere in its entire domain?
QUESTION 20 OF 20
Which of the following mathematically defined functions distinctly does NOT have a minimum value?
Test Complete!
Answer Review
1 If a graph shows a sharp, non-differentiable peak at \(x=c\) where the function is continuous, what can be said about \(f(c)\)?
Local maxima need not be differentiable. Compare nearby function values. Sharp peaks can still be maxima.
A local maximum means \(f(x)\leq f(c)\) for all nearby \(x\). Differentiability is not required. A sharp peak such as \(f(x)=∣x∣\)reflected downward can have a local maximum despite the derivative not existing. Therefore Option C is correct.
- Option A → Non-differentiability does not prevent maxima.
- Option B → Derivative may not exist.
- Option D → Second derivative test requires differentiability.
Used: Elimination
Application: Use the definition of local maximum.
Final Logic: Maximum depends on nearby values, not differentiability.
Peak ≠ Smooth Required
2 If marginal cost is \(MC=\frac{dC}{dx}=x^{2}-6x+9\), at what \(x\) does the rate change indicate a local minimum cost?
Critical points occur when derivative is zero. \(MC=(x-3)^{2}\). Minimum occurs at \(x=3\).
Given \(MC=x^{2}-6x+9=(x-3)^{2}\) This parabola opens upward. Its minimum value occurs at the vertex: \(x=3\) Hence Option D is correct.
- Option A → Not the vertex.
- Option B → Gives larger value.
- Option C → Gives larger value.
Used: Substitution
Application: Rewrite as a perfect square.
Final Logic: \({\left(x-3\right)}^{2}\)is minimum at \(x=3\).
Perfect Square ⇒ Vertex at Center
3 Steps for Second Derivative Test:
1. Check \(f^{''}(c)>0\) or \(f^{''}(c)<0\)
2. Find \(f^{'}(x)\)and set \(f^{'}(x)=0\) to get critical points
3. Conclude maxima/minima
4. Compute \(f^{''}(x)\)
Find critical points first. Compute second derivative. Use sign to classify.
The second derivative test follows: 1. Find critical points using \(f^{'}(x)=0\). 2. Compute \(f^{''}(x)\). 3. Check sign of \(f^{''}(c)\). 4. Conclude maximum or minimum. Hence Option A is correct.
- Option B → Second derivative computed too early.
- Option C → Classification before calculation.
- Option D → Incorrect logical sequence.
Used: Contextual/Tonal Matching
Application: Follow standard theorem procedure.
Final Logic: Critical point → Second derivative → Decision.
First Find, Then Test
4 Match the Following
| List I | List II |
|---|---|
| 1. \(f(x)=x^{3}\) | a. Local min at \(x=0\) |
| 2. \(f(x)=x^{2}\) | b. Neither max nor min, point of inflection at \(x=0\) |
| 3. \(f(x)=-x^{2}\) | c. Local max at \(x=0\) |
\(x^{3}\)has inflection at origin. \(x^{2}\)has minimum. \(-x^{2}\)has maximum.
For \(x^{3}\), the origin is a stationary point of inflection. For \(x^{2}\), the vertex is a local minimum. For \(-x^{2}\), the vertex is a local maximum. Therefore the matching in Option B is correct.
- Option A → Misclassifies \(x^{3}\).
- Option C → Reverses maximum and inflection.
- Option D → Incorrect assignments.
Used: Option Grouping
Application: Recall standard graph shapes.
Final Logic: Cubic-inflection, upward parabola-minimum, downward parabola-maximum.
Cubic–Inflection, Up–Min, Down–Max
5 A curve shows a clear turning peak. The absolute maximum occurs where:
Maximum occurs at turning peak. Derivative becomes zero. Sign changes from + to −.
A local or absolute maximum at a smooth turning point occurs when \(f^{'}(x)=0\) and the derivative changes from positive to negative. This shows the function rises before the point and falls after it. Therefore Option C is correct.
- Option A → Increasing region only.
- Option B → Decreasing region only.
- Option D → Not sufficient for maximum.
Used: Contextual/Tonal Matching
Application: Use First Derivative Test.
Final Logic: \(+\rightarrow -\)sign change implies maximum.
Rise Then Fall = Max
6 Assertion (A): At the top of a smooth hill, \(f^{'}(c)=0\).
Reason (R): A local maximum implies \(f^{'}(c)=0\) and concave downward \(\left(f^{''}(c)<0\right)\).
Smooth hill indicates maximum. Derivative vanishes there. Second derivative is negative.
At a smooth local maximum, \(f^{'}(c)=0\) and typically \(f^{''}(c)<0.\) Thus both the Assertion and Reason are true, and the Reason correctly explains why the derivative vanishes at the hilltop.
- Option A → Both statements are true.
- Option B → Reason is true.
- Option D → Assertion is true.
Used: Contextual/Tonal Matching
Application: Apply derivative tests for maxima.
Final Logic: Smooth maximum ⇒ \(f^{'}(c)=0\).
Hilltop = Flat Tangent
7 For \(f(x)=x\) on \(\left(0\ ,\ 1\right)\):
(I) No absolute maximum
(II) No absolute minimum
(III) Has a turning point
Open interval excludes endpoints. Function is strictly increasing. No turning point exists.
The function \(f(x)=x\) on \(\left(0\ ,\ 1\right)\)never attains 0 or 1 because endpoints are excluded. Hence it has neither an absolute maximum nor an absolute minimum. Being linear, it has no turning point. Therefore I and II only are correct.
- Option B → Turning point absent.
- Option C → Statement I is true.
- Option D → Statement III is false.
Used: Option Grouping
Application: Check each statement individually.
Final Logic: Open interval removes extrema.
Open Ends, No Extremes
8 For a continuous function on \(\left[a\ ,\ b\right]\):
Minima may occur at endpoints. Derivative need not be zero. Extreme Value Theorem applies.
An absolute minimum can occur at an endpoint where the derivative may not be zero or may not exist. Therefore Option B is incorrect. Continuous functions on closed intervals always attain maximum and minimum values.
- Option A → True statement.
- Option C → Guaranteed by theorem.
- Option D → Endpoint extrema are possible.
Used: Extreme Word Filter
Application: Check the word "must".
Final Logic: Absolute minimum need not satisfy \(f^{'}(x)=0\).
Endpoint Extremes Matter
9 If profit \(P(x)=-x^{2}+4x\), when is it maximized?
Downward parabola. Maximum at vertex. Compute critical point.
\(P^{'}(x)=-2x+4\) Setting \(P^{'}(x)=0\), \(x=2.\) Since the coefficient of \(x^{2}\)is negative, the parabola opens downward, so the vertex gives the maximum profit.
- Option B → Not the vertex.
- Option C → Outside maximizing point.
- Option D → Profit not maximum.
Used: Substitution
Application: Find derivative and critical point.
Final Logic: Downward parabola maximized at vertex.
Max Profit = Vertex
10 For a cylinder of maximum curved surface area inscribed in a cone, the radius ratio \(r/R=1/2\). What is the ratio \(R:r\)?
Given \(r/R=1/2\). Invert both sides. Obtain required ratio.
Given \(\frac{r}{R}=\frac{1}{2}\) Taking reciprocals, \(\frac{R}{r}=2.\) Hence \(R:r=2:1.\) Therefore Option C is correct.
- Option A → Ratios are unequal.
- Option B → Reversed ratio.
- Option D → Not supported by data.
Used: Substitution
Application: Convert the given ratio.
Final Logic: Reciprocal gives \(2:1\).
Half One Way = Double Back
11 What is the calculated shortest distance of the point (0,3) from the upward parabola \(y=x^{2}\)?
Distance from \(\left(0\ ,\ 3\right)\)to \(\left(x\ ,\ x^{2}\right)\). Minimize squared distance. Minimum occurs at \(x=1\).
Distance squared from \(\left(0\ ,\ 3\right)\)to \(\left(x\ ,\ x^{2}\right)\): \(D^{2}=x^{2}+(x^{2}-3)^{2}\) Differentiating gives critical points \(x=0,\pm \sqrt{\frac{5}{2}}\). Evaluating distances shows the minimum occurs at \(x=\pm \sqrt{\frac{5}{2}}\), giving \(D^{2}=\frac{11}{4}\) and \(D=\frac{\sqrt{11}}{2}.\) Thus none of the options is exact. The provided answer \(\sqrt{5}\)is incorrect.
- Option A → Not obtained from minimum-distance calculation.
- Option B → Too small compared with actual minimum distance.
- Option C → Does not satisfy distance formula.
Used: Substitution
Application:
- Form distance-squared function and minimize.
Final Logic:
- Minimum distance comes from minimizing \(D^{2}\).
Distance → Minimize \(D^{2}\)
12 Two positive numbers whose sum is strictly 15 have the absolute minimum sum of squares when they are equal. What is the probability of randomly selecting one of these optimal numbers from the finite set {1,2,3,…,15}?
Equal numbers minimize sum of squares. Numbers are \(7.5\) and \(7.5\). No integer optimal number exists.
For two positive numbers with sum 15, \(x+y=15\) the minimum of \(x^{2}+y^{2}\) occurs at \(x=y=7.5.\) Since \(7.5\) is not in the set \(\left\{1,…,15\right\}\), the probability question is mathematically inconsistent. The listed answer \(1/15\) is incorrect.
- Option A → No optimal integer exists.
- Option C → Unsupported by optimization.
- Option D → No basis from the data.
Used: Elimination
Application:
- Check whether optimal value belongs to the set.
Final Logic:
- Optimal number is not an integer.
Equal Split ⇒ Minimum Square Sum
13 Find the total area of the largest mathematically possible rectangle that can be inscribed inside a circle of fixed radius R.
Maximum rectangle is a square. Diagonal equals circle diameter. Area becomes \(2R^{2}\).
The rectangle of maximum area inscribed in a circle is a square. If the circle radius is \(R\), the square diagonal equals \(2R\). \(s\sqrt{2}=2Rs=\sqrt{2}R\) Therefore \(Area=s^{2}=2R^{2}.\) Hence Option B is correct.
- Option A → Underestimates area.
- Option C → Circle area, not rectangle area.
- Option D → Exceeds possible maximum.
Used: Substitution
Application:
- Use square as optimal rectangle.
Final Logic:
- Maximum rectangle area = \(2R^{2}\).
Largest Rectangle = Square
14 The absolute minimum value of the function \(f(x)=x^{2}-4x+5\) computed on the closed interval [0,4] occurs specifically at:
Find critical point. Compare with endpoints. Smallest value occurs at \(x=2\).
\(f^{'}(x)=2x-4\) Setting \(f^{'}(x)=0\), \(x=2.\) Evaluate: \(f(0)=5,f(2)=1,f(4)=5.\) The least value is attained at \(x=2\). Therefore Option B is correct.
- Option A → Gives value 5.
- Option C → Gives value 5.
- Option D → Gives value 2.
Used: Substitution
Application:
- Check critical point and endpoints.
Final Logic:
- Minimum occurs at \(x=2\).
Vertex Gives Minimum
15 A given continuous function is strictly decreasing on the interval [a,b]. What represents its absolute minimum value?
Function decreases throughout interval. Smallest output occurs at right endpoint. Endpoint theorem applies.
For a strictly decreasing function, \(x_{1}<x_{2}\Rightarrow f(x_{1})>f(x_{2}).\) Therefore values continually decrease as \(x\) moves from \(a\) to \(b\). The smallest value must occur at the largest input, namely \(x=b\). Hence Option A is correct.
- Option B → Represents maximum value.
- Option C → Interior values exceed \(f(b)\).
- Option D → Determinable from monotonicity.
Used: Contextual/Tonal Matching
Application:
- Use decreasing-function property.
Final Logic:
- Decreasing ⇒ minimum at right endpoint.
Decreasing → Min at Right End
16 Assertion (A): By Theorem 6, if a function \(f\) is differentiable on an interval and attains an absolute maximum at an interior point \(c\), then conclusively:
Reason (R): \(f^{'}(c)=0\)
Interior extreme point is given. Function is differentiable. Fermat's theorem applies.
Fermat's Theorem states that if a function is differentiable at an interior point where it attains a local or absolute maximum/minimum, then \(f^{'}(c)=0.\) Since the function is differentiable and has an absolute maximum at interior point \(c\), the derivative must vanish. Therefore Option D is correct.
- Option A → Positive derivative implies increasing behavior.
- Option B → Negative derivative implies decreasing behavior.
- Option C → Contradicts differentiability assumption.
Used: Contextual/Tonal Matching
Application: Apply Fermat's Theorem directly.
Final Logic: Differentiable interior extremum ⇒ \(f^{'}(c)=0\).
Interior Max/Min ⇒ Derivative Zero
17 For the function \(f(x)=∣x∣\), the mathematically critical point at \(x=0\) is classified strictly because:
Left and right derivatives differ. Function remains continuous. Differentiability fails at origin.
For \(f(x)=∣x∣,\) the left derivative at \(0\) is \(-1\) and the right derivative is \(+1\). Since these are unequal, \(f^{'}(0)\)does not exist. Thus the point is critical because the function is not differentiable there. Option C is the best description.
- Option A → Derivative is not zero.
- Option B → True consequence, but classification is due to non-differentiability.
- Option D → Second derivative is irrelevant here.
Used: Elimination
Application: Check derivative definition at \(x=0\).
Final Logic: Unequal one-sided derivatives ⇒ non-differentiable.
\(∣x∣\)Has a Corner at 0
18 On a continuous function graph, if a critical point is logically neither a maxima nor a minima, it visually resembles:
Derivative may become zero. Function keeps same trend. No turning occurs.
A critical point that is neither a maximum nor a minimum often occurs at a stationary point of inflection. Here the tangent may be horizontal, but the function continues increasing or decreasing on both sides. Therefore Option D correctly describes the graphical behavior.
- Option A → Represents non-differentiable corner.
- Option B → Not a critical point of the function.
- Option C → Contradicts continuity.
Used: Contextual/Tonal Matching
Application: Relate graph shape to derivative behavior.
Final Logic: No sign change ⇒ stationary inflection.
Flat but No Turn = Inflection
19 Which of the following continuous, smooth functions completely lacks a maximum value anywhere in its entire domain?
Function is unbounded above. Values increase indefinitely. No largest value exists.
For \(f(x)=x^{2},\) as \(∣x∣\rightarrow \infty\), \(f(x)\rightarrow \infty .\) Therefore there is no largest function value. Option A is correct. The other functions possess maximum values: \(-x^{2}\)has maximum 0, \(\sin\,x\) has maximum 1, and constant function 1 has maximum 1.
- Option B → Maximum value equals 0.
- Option C → Maximum value equals 1.
- Option D → Constant value is both maximum and minimum.
Used: Extreme Word Filter
Application: Check existence of a largest value.
Final Logic: Unbounded above ⇒ no maximum.
\(x^{2}\)Climbs Forever
20 Which of the following mathematically defined functions distinctly does NOT have a minimum value?
Function is unbounded below. Values decrease without limit. No smallest value exists.
For \(f(x)=-x^{2},\) as \(∣x∣\rightarrow \infty\), \(f(x)\rightarrow -\infty .\) Hence the function has no minimum value. Option B is correct. In contrast, \(x^{2}\), \(∣x∣\), and the constant function 0 all possess minimum values equal to 0.
- Option A → Minimum value is 0.
- Option C → Minimum value is 0.
- Option D → Minimum value is 0.
Used: Elimination
Application: Check whether a lowest value exists.
Final Logic: Unbounded below ⇒ no minimum.
\(-x^{2}\)Falls Forever
