CUET UG Mathematics Booster Test 1 - Local Maxima and Minima
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QUESTION 1 OF 20
Let the area of a rectangle with perimeter 20 be \(A(x)=x(10-x)\). Using the local maxima definition, the maximum area occurs when \(x\) is:
QUESTION 2 OF 20
The probability of an event is modeled by \(P(x)=x(1-x)\). At what value of \(x\) is the probability locally maximized?
QUESTION 3 OF 20
A drone's path is given by the vector \(\vec{r}(t)=(t, 5-t)\). Its magnitude is evaluated near \(t=2.5\). What is the local minimum magnitude?
QUESTION 4 OF 20
Assertion (A): Endpoints of a closed interval are not considered points of local extrema under the standard interior point definition.
Reason (R): The derivative must always equal zero at endpoints.
QUESTION 5 OF 20
Which statement is incorrect? (Incorrect Statement)
QUESTION 6 OF 20
The function \(f(x)=∣x∣\)at \(x=0\) is an example of a:
QUESTION 7 OF 20
Match the conditions with graph behavior:
| List I | List II |
|---|---|
| 1. \(f^{'}(c)=0\) and sign changes from \(+\)to \(-\) | a. Smooth peak (maximum) |
| 2. \(f^{'}(c)\)undefined at \(c\) | b. Sharp corner/cusp |
| 3. \(f^{'}(x)\)does not change sign | c. Point of inflection |
QUESTION 8 OF 20
Which are valid types of points at a critical point? (Multiple Correct)
1. Local maxima
2. Local minima
3. Points of inflection
QUESTION 9 OF 20
If data shows \(f^{'}(x)\)changes from positive to negative near \(x=c\), then geometrically it is a: (Moving Average/Data)
QUESTION 10 OF 20
QUESTION 11 OF 20
QUESTION 12 OF 20
Arrange the sequential behaviors of \(f^{''}(x)\)as \(x\) moves across an inflection point \(c\), given \(f^{''}(x)>0\) on the left:
1. \(f^{''}(x)\)remains positive on the right of \(c\)
2. \(f^{''}(c)=0\)
3. \(f^{''}(x)\)approaches from the left \(\left(x\ <\ c\right)\)
QUESTION 13 OF 20
For the function \(f(x)=x^{3}-3x^{2}\), the left-hand behavior near the critical point \(x=2\) yields a derivative sign that is:
QUESTION 14 OF 20
On the graph of \(f(x)=x^{3}-3x^{2}\), the right-hand behavior of the derivative near the critical point \(x=2\) is:
QUESTION 15 OF 20
Find the local maximum value of the polynomial \(f(x)=x^{3}-3x^{2}+3x+1\).
QUESTION 16 OF 20
The function \(f(x)=x^{3}-6x^{2}+9x\) has critical points at \(x=1\), \(x=3\), and \(x=0\). Which of these is a point of local maximum?
QUESTION 17 OF 20
Assertion (A): \(f(x)=x^{3}\)has no local extrema in the open interval \(\left(-\infty ,\infty \right)\).
Reason (R): \(f^{'}(x)=3x^{2}\), which does not change sign at \(x=0\).
QUESTION 18 OF 20
If a curve is perfectly horizontal (flat) over an interval \(I\), its first derivative is:
QUESTION 19 OF 20
A continuous shift in a function's nature from increasing to decreasing guarantees the existence of a:
QUESTION 20 OF 20
In an economic cost minimization model, marginal cost changes from negative to positive at \(x=17\). Selling 17 units represents:
Test Complete!
Answer Review
1 Let the area of a rectangle with perimeter 20 be \(A(x)=x(10-x)\). Using the local maxima definition, the maximum area occurs when \(x\) is:
Area function is quadratic. Maximum occurs at vertex. Vertex lies at \(x=5\).
\(A(x)=x(10-x)=10x-x^{2}\) This is a downward-opening parabola. The maximum value occurs at its vertex. \(A^{'}(x)=10-2x\) Setting \(A^{'}(x)=0\), \(10-2x=0\Rightarrow x=5\) Hence the rectangle has maximum area when \(x=5\). Options A, B, and D do not maximize the area.
- Option A → Gives area \(16\), not maximum.
- Option B → Gives area \(0\).
- Option D → Gives area \(24\), less than maximum \(25\).
Used: Substitution
Application: Differentiate the area function and locate the critical point.
Final Logic: Maximum area occurs where \(A^{'}(x)=0\), giving \(x=5\).
Rectangle + Fixed Perimeter ⇒ Equal Sides
2 The probability of an event is modeled by \(P(x)=x(1-x)\). At what value of \(x\) is the probability locally maximized?
Probability function is quadratic. Vertex gives maximum probability. Critical point is \(x=0.5\).
\(P(x)=x-x^{2}P^{'}(x)=1-2x\) Setting \(P^{'}(x)=0\), \(1-2x=0\Rightarrow x=\frac{1}{2}\) Since the parabola opens downward, this critical point corresponds to a local maximum. Therefore the probability is maximized at \(x=0.5\).
- Option B → Probability becomes zero.
- Option C → Not a critical point.
- Option D → Probability equals zero.
Used: Substitution
Application: Differentiate and solve for the stationary point.
Final Logic: \(P^{'}(x)=0\) gives \(x=0.5\).
\(x(1-x)\)peaks at Half
3 A drone's path is given by the vector \(\vec{r}(t)=(t, 5-t)\). Its magnitude is evaluated near \(t=2.5\). What is the local minimum magnitude?
Magnitude squared simplifies calculation. Minimum occurs at \(t=2.5\). Magnitude equals \(\sqrt{12.5}\), not 5.
\(∣\vec{r}(t)∣=\sqrt{t^{2}+(5-t)^{2}}=t^{2}+(25-10t+t^{2})=2t^{2}-10t+25\) Minimum occurs at \(t=\frac{10}{4}=2.5\) Then \(∣\vec{r}∣=\sqrt{12.5}\approx 3.54\) This value is not listed. Therefore the provided answer D) 5 is incorrect. The correct magnitude is \(\sqrt{12.5}\).
- Option A → Not equal to calculated minimum.
- Option B → Magnitude cannot be zero.
- Option C → Represents neither magnitude nor minimum value.
Used: Substitution
Application: Minimize the squared magnitude.
Final Logic: Actual minimum magnitude is \(\sqrt{12.5}\).
Minimize Distance → Minimize Distance²
4 Assertion (A): Endpoints of a closed interval are not considered points of local extrema under the standard interior point definition.
Reason (R): The derivative must always equal zero at endpoints.
Local extrema require neighborhoods. Endpoints are not interior points. Derivative need not be zero at endpoints.
The standard definition of local extrema requires an interior point with a neighborhood on both sides. Endpoints fail this requirement. However, derivatives at endpoints need not be zero. Hence Assertion is true while Reason is false. Therefore Option B is correct.
- Option A → Assertion is true.
- Option C → Reason is false.
- Option D → Assertion is not false.
Used: Elimination
Application: Check assertion and reason independently.
Final Logic: Interior-point requirement makes A true and R false.
Local ⇒ Interior Point
5 Which statement is incorrect? (Incorrect Statement)
Second derivative test needs \(f^{'}(c)=0\). Positive second derivative alone is insufficient. Hence statement C is incorrect.
The Second Derivative Test states that if \(f^{'}(c)=0\) and \(f^{''}(c)>0\), then \(c\) is a local minimum. Option C omits the essential condition \(f^{'}(c)=0\). Therefore it is incorrect. Options A, B, and D are standard results from derivative theory.
- Option A → Fermat's theorem supports it.
- Option B → Example: \(f(x)=x^{3}\).
- Option D → Correct definition of critical point.
Used: Extreme Word Filter
Application: Focus on the word "always".
Final Logic: \(f^{''}(c)>0\) alone does not guarantee a minimum.
Need \(f^{'}=0\) before using \(f^{''}\)
6 The function \(f(x)=∣x∣\)at \(x=0\) is an example of a:
Graph has a sharp corner. Derivative does not exist at zero. Function attains minimum there.
The graph of \(y=∣x∣\)has a cusp at \(x=0\). Since left and right derivatives differ, \(f^{'}(0)\)does not exist. Also, \(∣x∣\geq 0=∣0∣\) for nearby points. Hence \(x=0\) is a local minimum. Therefore Option C is correct.
- Option A → Not differentiable and not maximum.
- Option B → Not differentiable.
- Option D → Value is minimum, not maximum.
Used: Contextual/Tonal Matching
Application: Recall graph of \(∣x∣\).
Final Logic: Corner point with minimum value.
\(∣x∣\): Corner + Minimum
7 Match the conditions with graph behavior:
| List I | List II |
|---|---|
| 1. \(f^{'}(c)=0\) and sign changes from \(+\)to \(-\) | a. Smooth peak (maximum) |
| 2. \(f^{'}(c)\)undefined at \(c\) | b. Sharp corner/cusp |
| 3. \(f^{'}(x)\)does not change sign | c. Point of inflection |
Positive to negative gives maximum. Undefined derivative suggests cusp. No sign change indicates inflection.
A derivative sign change from positive to negative indicates a local maximum. Undefined derivative commonly appears at cusps or corners. If the derivative does not change sign across a critical point, the point is generally an inflection point rather than an extremum. Hence Option A is correct.
- Option B → Reverses maximum and cusp.
- Option C → Misclassifies inflection.
- Option D → Incorrect matching throughout.
Used: Option Grouping
Application: Match standard derivative-test interpretations.
Final Logic: Sign change determines graph behavior.
+\(\rightarrow\)- = Peak, No Change = Inflection
8 Which are valid types of points at a critical point? (Multiple Correct)
1. Local maxima
2. Local minima
3. Points of inflection
Critical points include maxima. Critical points include minima. Critical points may be inflection points.
A critical point occurs where the derivative is zero or undefined. Such points may correspond to local maxima, local minima, or points of inflection. Therefore all three listed possibilities are valid. Hence Option D is correct.
- Option A → Omits inflection points.
- Option B → Omits maxima.
- Option C → Omits minima.
Used: Option Grouping
Application: Recall all possible outcomes of a critical point.
Final Logic: Critical points need not always be extrema.
Critical ≠ Only Max/Min
9 If data shows \(f^{'}(x)\)changes from positive to negative near \(x=c\), then geometrically it is a: (Moving Average/Data)
Function rises before \(c\). Function falls after \(c\). Peak forms at \(c\).
When the derivative changes from positive to negative, the function changes from increasing to decreasing. According to the First Derivative Test, this behavior identifies a local maximum. Hence Option D is correct.
- Option A → Inflection requires no sign change in \(f^{'}\).
- Option B → Needs negative-to-positive change.
- Option C → Local information alone cannot guarantee absolute minimum.
Used: Contextual/Tonal Matching
Application: Interpret derivative sign changes.
Final Logic: Rise then fall implies maximum.
+\(\rightarrow\)- = Hilltop
10
Valley indicates local minimum. Second derivative is positive. Graph is concave upward.
A change from decreasing to increasing indicates a local minimum. By the Second Derivative Test, if \(f^{'}(c)=0,f^{''}(c)>0,\) then the graph is concave upward and \(c\) is a local minimum. Therefore Option B is correct.
- Option A → Indicates local maximum.
- Option C → Critical point requires \(f^{'}(c)=0\).
- Option D → Not implied by the passage.
Used: Contextual/Tonal Matching
Application: Connect valley shape with concavity.
Final Logic: Valley ⇒ concave upward ⇒ \(f^{''}(c)>0\).
Positive Second Derivative = Smile = Minimum
11
Second derivative test becomes inconclusive. Nature of point remains unknown. First derivative test is applied next.
When \(f^{'}(c)=0\) and \(f^{''}(c)=0\), the Second Derivative Test fails. No conclusion about maxima, minima, or inflection can be drawn directly. The standard approach is to apply the First Derivative Test and inspect sign changes of \(f^{'}(x)\)around \(c\). Therefore Option A is correct.
- Option B → Cannot conclude maximum when the test fails.
- Option C → Cannot conclude minimum without further analysis.
- Option D → Extrema may still exist.
Used: Elimination
Application: Remove options making unjustified conclusions.
Final Logic: Failure of one test requires another test.
\(f^{''}=0\)⇒ Check \(f^{'}\)
12 Arrange the sequential behaviors of \(f^{''}(x)\)as \(x\) moves across an inflection point \(c\), given \(f^{''}(x)>0\) on the left:
1. \(f^{''}(x)\)remains positive on the right of \(c\)
2. \(f^{''}(c)=0\)
3. \(f^{''}(x)\)approaches from the left \(\left(x\ <\ c\right)\)
Observe left behavior first. Reach the critical point. Then examine right behavior.
The logical sequence while moving across \(c\) is: 1. Observe \(f^{''}(x)\)for \(x<c\). 2. Reach \(c\) where \(f^{''}(c)=0\). 3. Examine \(f^{''}(x)\)for \(x>c\). Thus the correct order is \(3,2,1\). Therefore Option B is correct.
- Option A → Starts from the right side.
- Option C → Places center before left behavior.
- Option D → Incorrect chronological order.
Used: Contextual/Tonal Matching
Application: Follow the movement from left to right.
Final Logic: Left → Center → Right.
L-C-R (Left, Center, Right)
13 For the function \(f(x)=x^{3}-3x^{2}\), the left-hand behavior near the critical point \(x=2\) yields a derivative sign that is:
Differentiate function. Test value slightly less than 2. Derivative becomes negative.
\(f^{'}(x)=3x^{2}-6x=3x(x-2)\) Choose \(x=1.5\)(left of 2): \(f^{'}(1.5)=3(1.5)(-0.5)<0\) Hence the derivative is negative on the left side of \(x=2\). Therefore Option C is correct.
- Option A → Sign is not positive.
- Option B → Only true exactly at \(x=2\).
- Option D → Derivative exists.
Used: Substitution
Application: Test a value immediately left of 2.
Final Logic: Left of 2 gives \(f^{'}(x)<0\).
\(x(x-2)\): Left of 2 ⇒ Negative
14 On the graph of \(f(x)=x^{3}-3x^{2}\), the right-hand behavior of the derivative near the critical point \(x=2\) is:
Test point slightly greater than 2. Derivative becomes positive. Function rises after \(x=2\).
\(f^{'}(x)=3x(x-2)\) Take \(x=2.5\): \(f^{'}(2.5)=3(2.5)(0.5)>0\) Thus the derivative is positive immediately to the right of \(x=2\). Therefore Option B is correct. The supplied answer A is incorrect.
- Option A → Opposite sign.
- Option C → Only at \(x=2\).
- Option D → Derivative varies with \(x\).
Used: Substitution
Application: Evaluate derivative at a nearby right-hand value.
Final Logic: Right of 2 ⇒ \(f^{'}(x)>0\).
After 2 ⇒ Positive
15 Find the local maximum value of the polynomial \(f(x)=x^{3}-3x^{2}+3x+1\).
Rewrite polynomial. Derivative vanishes at one point. No local maximum exists.
\(f(x)=x^{3}-3x^{2}+3x+1=(x-1)^{3}+2f^{'}(x)=3(x-1)^{2}\) Since \(f^{'}(x)\geq 0\) and never changes sign, the function is increasing everywhere. The critical point \(x=1\) is a stationary inflection point, not a local maximum. Hence none of the given options is correct.
- Option A → Not attained as local maximum.
- Option B → Not a local maximum value.
- Option D → Function has no local maximum.
Used: Substitution
Application: Differentiate and inspect sign changes.
Final Logic: No sign change ⇒ No local maximum.
No Sign Change = No Extremum
16 The function \(f(x)=x^{3}-6x^{2}+9x\) has critical points at \(x=1\), \(x=3\), and \(x=0\). Which of these is a point of local maximum?
Differentiate function. Analyze derivative sign. Sign changes positive to negative at 0.
\(f^{'}(x)=3x^{2}-12x+9=3(x-1)(x-3)\) Critical points are actually \(x=1\) and \(x=3\), not \(x=0\). At \(x=1\), sign changes from positive to negative, giving a local maximum. Thus the correct answer should be A) \(x=1\). The supplied answer is incorrect.
- Option B → Local minimum.
- Option C → A local maximum exists.
- Option D → Not a critical point.
Used: Substitution
Application: Factor derivative and examine sign chart.
Final Logic: Positive → Negative at \(x=1\).
Max at First Critical Point
17 Assertion (A): \(f(x)=x^{3}\)has no local extrema in the open interval \(\left(-\infty ,\infty \right)\).
Reason (R): \(f^{'}(x)=3x^{2}\), which does not change sign at \(x=0\).
Derivative is non-negative. Sign does not change across zero. Hence no local extrema exist.
\(f^{'}(x)=3x^{2}\) is positive on both sides of \(0\) and equals zero only at \(0\). Since the derivative does not change sign, \(x=0\) is not a maximum or minimum. Thus the assertion is true, the reason is true, and the reason explains the assertion. Option C is correct.
- Option A → Both statements are true.
- Option B → Reason is not false.
- Option D → Assertion is true.
Used: Elimination
Application: Check truth of assertion and reason separately.
Final Logic: No sign change ⇒ No extremum.
\(x^{3}\): Flat but Not Extreme
18 If a curve is perfectly horizontal (flat) over an interval \(I\), its first derivative is:
Flat graph has no slope. Rate of change is zero. Derivative vanishes throughout.
A horizontal graph represents a constant function. The slope of every tangent line is zero. \(f^{'}(x)=0\) for all \(x\) in the interval. Therefore Option C is correct.
- Option A → Indicates increasing function.
- Option B → Indicates decreasing function.
- Option D → Derivative exists and equals zero.
Used: Contextual/Tonal Matching
Application: Interpret geometric meaning of flatness.
Final Logic: Flat graph ⇒ zero slope.
Horizontal = Zero Derivative
19 A continuous shift in a function's nature from increasing to decreasing guarantees the existence of a:
Function rises before point. Function falls after point. Peak is formed.
When a function changes from increasing to decreasing, the derivative changes from positive to negative. By the First Derivative Test, this behavior guarantees a local maximum. Therefore Option A is correct.
- Option B → Requires decreasing-to-increasing change.
- Option C → Does not require increase-to-decrease behavior.
- Option D → Unrelated to monotonicity.
Used: Contextual/Tonal Matching
Application: Interpret sign change of derivative.
Final Logic: Increase → Decrease ⇒ Maximum.
Rise Then Fall = Maximum
20 In an economic cost minimization model, marginal cost changes from negative to positive at \(x=17\). Selling 17 units represents:
Marginal cost acts like derivative. Negative to positive sign change. Indicates local minimum.
Marginal cost is the derivative of the cost function. A sign change from negative to positive means the cost function changes from decreasing to increasing. By the First Derivative Test, this identifies a local minimum. Hence selling 17 units corresponds to minimum cost.
- Option A → Profit is not being analyzed.
- Option C → Maximum requires positive-to-negative change.
- Option D → Break-even concerns profit and revenue equality.
Used: Contextual/Tonal Matching
Application: Treat marginal cost as derivative of cost.
Final Logic: Negative → Positive derivative ⇒ Minimum.
− to + = Minimum
