Start Learning Free

Mathematics • Class 12

Application of Derivatives - Class 12

Master Calculus — Applications of Derivatives through focused practice that strengthens conceptual understanding, problem-solving skills, and the ability to recognize common traps and misconceptions. Explore challenging questions designed to develop deeper reasoning and confident application of key ideas.

Overview

This chapter focuses on the practical applications of derivatives, including finding tangents and normals, solving optimization problems, determining rates of change, and analyzing increasing and decreasing functions.

Why This Chapter Matters

  • The application of derivatives is fundamental in solving real-world problems in engineering, economics, and science. This chapter helps you understand how to apply mathematical concepts to optimize outcomes and analyze changes.

Real-Life Applications

  • Determining maximum and minimum values in economics and business problems.
  • Calculating rates of change in physics and engineering scenarios.
  • Analyzing growth and decay in biological systems and populations.

Skills You Will Learn

  • Understanding the geometric interpretation of derivatives.
  • Solving optimization problems using derivatives.
  • Applying derivatives to analyze increasing and decreasing functions.

Core Concepts to Master

Rate of Change Dependency

Differentiate w.r.t time (t), not x; ensure chain rule applies to all variables in related rate problems.

Tangent/Normal Slope Interplay

Product of slopes of tangent and normal is -1; critical for vertical/horizontal tangent cases where slope is undefined.

Rolle's Theorem Anchors

Requires continuity on [a,b], differentiability on (a,b), and f(a)=f(b). Must check all three for existence of c.

LMVT Tangent Parallelism

Ensures existence of a point where instantaneous slope equals average slope; fails if function is non-differentiable.

Increasing/Decreasing Strictness

Strict increase requires f'(x) > 0; f'(x) >= 0 implies non-decreasing. Check endpoints of intervals carefully.

Critical Point vs Stationary Point

Critical points include where f'(x)=0 AND where f'(x) is undefined (e.g., corners/cusps). Distinguish both.

First Derivative Test Trap

Sign change of f'(x) across critical points is mandatory for local extrema; no sign change implies inflection.

Second Derivative Test Limitations

Fails if f''(c) = 0 or undefined; must revert to first derivative test or higher-order derivatives.

Global Extrema on Intervals

Must evaluate f(x) at critical points AND endpoints of the closed interval. Never ignore endpoints.

Point of Inflection Conditions

Requires f''(x) to change sign at the point. f''(c)=0 is necessary but not sufficient for inflection.

Approximation via Differentials

Use f(x+dx) ≈ f(x) + f'(x)dx. Error depends on the magnitude of dx; valid only for very small increments.

Geometry Constraint Modeling

Express primary function in one variable using secondary geometric constraints. Often involves Pythagorean or similar triangle ratios.

Concavity Analysis

Concave up where f''(x) > 0; determines 'cup' shape essential for finding minimums and visual graph behavior.

Non-Differentiable Extrema

The absolute minimum/maximum often occurs at points where the derivative does not exist (e.g., |x|).

Implicit Differentiation Rate

When variables are linked implicitly, differentiate both sides w.r.t t to find rates without explicit variable isolation.

Concept Collisions Used by Examiners

Competitive examinations rarely assess concepts in isolation. Instead, examiners intentionally combine multiple concepts from this and related chapters to create higher-order questions that test conceptual reasoning, analytical thinking, and problem-solving ability. The concept collision patterns below represent the combinations most frequently used while designing questions for this chapter.

Rate of Change Dependency
Geometric Interpretation of Cross Product
Collinearity vs Coplanarity
Rate of Change Dependency
Newton-Leibniz Formula with variable limits
Composition Inverse Identity Traps
Rate of Change Dependency
Orthogonal Trajectories
Wavy Curve (Method of Intervals)
Rate of Change Dependency
Rectangular Hyperbola
Geometry of Complex Inequalities
Tangent/Normal Slope Interplay
Differentiation of Determinants
Skew-Symmetric Determinant
Tangent/Normal Slope Interplay
Homogeneous Function Homogeneity
Cross Multiplication Trap
Tangent/Normal Slope Interplay
Newton-Leibniz Formula with variable limits
Differentiability vs Continuity
Tangent/Normal Slope Interplay
Parametric Form Manipulation
General Solution Principal Values
Tangent/Normal Slope Interplay
Variable plane intercepts
Direction Cosines constraint
Rolle's Theorem Anchors
Arithmetic Mean Inequality
Denominator Restriction
Rolle's Theorem Anchors
Characteristic Equation
Singular vs Non-Singular Matrices
Rolle's Theorem Anchors
Differentiation of Determinants
Modulus Function Breakdown
Domain Restrictions
Rolle's Theorem Anchors
Integrating f(x) + xf'(x) forms
Integral Part and Fractional Part
LMVT Tangent Parallelism
Differentiation of Determinants
Singular vs. Non-Singular Threshold
LMVT Tangent Parallelism
Linear Differential Equation Structure
General vs Particular Solutions
LMVT Tangent Parallelism
Method of Differences
Integral Part and Fractional Part
LMVT Tangent Parallelism
Normal to Conic
Geometrical Interpretation of Modulus
LMVT Tangent Parallelism
Quadratic Equations with Complex Coefficients
Vieta’s Formulas in Complex Domain
Increasing/Decreasing Strictness
General vs Particular Solutions
Determinant as Geometric Area/Volume
Increasing/Decreasing Strictness
Integrating f(x) + xf'(x) forms
Slope Sensitivity
Increasing/Decreasing Strictness
Logarithmic Differentiation Domain
Modulus Function Breakdown
Increasing/Decreasing Strictness
Maximum/Minimum of Quadratic Expressions
Compound Function Boundaries
Increasing/Decreasing Strictness
Quadratic Roots in Sequences
Transitivity of Identity
Critical Point vs Stationary Point
Arbitrary Constants vs Parameters
Bounded vs Unbounded Regions
Even Multiplicity Roots
Critical Point vs Stationary Point
Arithmetic-Geometric Progression (AGP)
Infinite GP Convergence
Critical Point vs Stationary Point
Differentiation of Determinants
Modulus Function Breakdown
Critical Point vs Stationary Point
Inverse Function Derivative
Chain Rule Complexity
First Derivative Test Trap
Domain Constraint Intersections
Square Root and Modulus Logic
First Derivative Test Trap
Factor Theorem in Determinants
Determinant Scaling Property
First Derivative Test Trap
Inequalities in Definite Integrals
Definition of Limit
First Derivative Test Trap
Vector Triple Product Expansion
Reciprocal System of Vectors
Second Derivative Test Limitations
Factor Theorem in Determinants
Row/Column Exchange Parity
Second Derivative Test Limitations
Injective Mapping (One-One)
Algebraic-Trigonometric Graphical Mapping
Second Derivative Test Limitations
Leibniz Rule for Differentiation under Integral
Greatest Integer Function Traps
Global Extrema on Intervals
Integration by Parts (LIATE Rule)
Compound Function Boundaries
Global Extrema on Intervals
Linear Differential Equation Structure
Trigonometric Standard Limits
Global Extrema on Intervals
Non-Differentiable Extrema
Cross Multiplication Trap
Inverse Function Periodicity
Global Extrema on Intervals
Skew-Symmetric Determinant
Determinant Scaling Property
Point of Inflection Conditions
Arbitrary Constants vs Parameters
Integrating Factor (IF) Sign Sensitivity
General vs Particular Solutions
Point of Inflection Conditions
Factor Theorem in Determinants
Singular vs Non-Singular Matrices
Properties of Transpose Determinant
Point of Inflection Conditions
Leibniz Rule for Differentiation under Integral
Even and Odd Function Symmetry
Integration by Parts (LIATE Rule)
Point of Inflection Conditions
Polynomial Continuity/Differentiability Link
Closed vs Open Intervals
L'Hopital's Pitfall
Approximation via Differentials
Arithmetic-Geometric Progression (AGP)
Denominator Restriction
Approximation via Differentials
Exact Differential Recognition
Integration Constant Trap
Approximation via Differentials
Newton-Leibniz Formula with variable limits
Limit Existence at Discontinuity
Approximation via Differentials
Roots of Unity Properties
Geometrical Interpretation of Modulus
Approximation via Differentials
Scalar Triple Product Volume Logic
Vector Triple Product Expansion
Geometry Constraint Modeling
Increasing/Decreasing Strictness
Inconsistency Detection
Geometry Constraint Modeling
Logarithmic Differentiation
Logarithmic Differentiation Domain
Geometry Constraint Modeling
Shortest distance between skew lines
Modulus Function Breakdown
Concavity Analysis
Homogeneous Function Homogeneity
Step Function Discontinuities
Concavity Analysis
Matrix Trace Properties
Singular vs Non-Singular Matrices
Concavity Analysis
Probability Mass Function (PMF)
Unbounded Region Trap
Concavity Analysis
Square Root of Complex Numbers
Real-Valued Function Domain
Non-Differentiable Extrema
Algebraic-Trigonometric Graphical Mapping
Indeterminate Forms
Non-Differentiable Extrema
Critical Point vs Stationary Point
Even Multiplicity Roots
Non-Differentiable Extrema
Linear Differential Equation Structure
Integrating Factor (IF) Sign Sensitivity
Signum Function Discontinuity
Non-Differentiable Extrema
Normal to Conic
Logarithmic Differentiation Domain
Non-Differentiable Extrema
Polynomial Continuity/Differentiability Link
Limit Existence at Discontinuity
Implicit Differentiation Rate
Linear Differential Equation Structure
Logarithmic Integration Modulus
Integration Constant Trap
Implicit Differentiation Rate
Line-Plane intersection logic
Equation of plane through intersection
Angle between two planes

Exam Coverage

Understand how this chapter is tested across major competitive examinations.

JEE Advanced

India · Competitive Exam · Undergraduate

JEE Main

India · Competitive Exam · Undergraduate

BITSAT

India · Competitive Exam · Undergraduate

IISER Aptitude Test (IAT)

India · Competitive Exam · Undergraduate

NEST

India · Competitive Exam · Undergraduate

ISI Admission Test

India · Competitive Exam · Undergraduate

CMI Entrance

India · Competitive Exam · Undergraduate

IOQM / INMO

India · Olympiad · High School

SAT Math

United States · Curriculum · High School

A-Level Mathematics

United Kingdom · Curriculum · Advanced Level

A-Level Further Mathematics

United Kingdom · Curriculum · Advanced Level

IB Mathematics AA HL

International · Curriculum · IB Diploma

Singapore A-Level Mathematics

Singapore · Curriculum · Advanced Level

Cambridge International A-Level Mathematics

International · Curriculum · Cambridge

International Mathematical Olympiad (IMO)

International · Olympiad · International

Practice Questions

Strengthen your understanding by solving carefully selected questions from this chapter.

50 Questions
1

A family of curves C1C_1 satisfies the differential equation xdy−λydx=0x dy - \lambda y dx = 0, where λ=(α−2)(α−5)2(α−8)4α+3\lambda = \frac{(\alpha-2)(\alpha-5)^2 (\alpha-8)^4}{\alpha+3} and α∈R∖{−3}\alpha \in \mathbb{R} \setminus \{-3\}. Let C2C_2 be the family of orthogonal trajectories to C1C_1. If every real, non-degenerate curve in C2C_2 is unbounded, find the sum of all positive integers α\alpha.

2

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be a function defined by f(x)=∫x2xtsin⁡−1(sin⁡t) dtf(x) = \int_{x}^{2x} t \sin^{-1}(\sin t) \, dt Find the value of f′′(5π6)f''\left(\frac{5\pi}{6}\right).

3

Let a⃗(t)\vec{a}(t) and b⃗(t)\vec{b}(t) be twice differentiable vector-valued functions such that at t=1t=1: a⃗(1)=b⃗(1)=2i^+j^+k^\vec{a}(1) = \vec{b}(1) = 2\hat{i} + \hat{j} + \hat{k} a⃗′(1)=2i^+2j^+3k^,b⃗′(1)=j^+2k^\vec{a}'(1) = 2\hat{i} + 2\hat{j} + 3\hat{k}, \quad \vec{b}'(1) = \hat{j} + 2\hat{k} a⃗′′(1)=2j^+6k^,b⃗′′(1)=0⃗\vec{a}''(1) = 2\hat{j} + 6\hat{k}, \quad \vec{b}''(1) = \vec{0} Let c⃗=i^−j^+2k^\vec{c} = \hat{i} - \hat{j} + 2\hat{k}. Evaluate the limit: lim⁡t→1∣a⃗(t)×b⃗(t)∣∣[a⃗(t),b⃗(t),c⃗]∣\lim_{t \to 1} \frac{|\vec{a}(t) \times \vec{b}(t)|}{|[\vec{a}(t), \vec{b}(t), \vec{c}]|} (where [x⃗,y⃗,z⃗][\vec{x}, \vec{y}, \vec{z}] denotes the scalar triple product).

4

Let S={z∈C:Im(z2)=32 and ∣z+4+4i∣≤42}S = \{z \in \mathbb{C} : \text{Im}(z^2) = 32 \text{ and } |z + 4 + 4i| \le 4\sqrt{2}\}. A particle PP representing the complex number z=x+iyz = x+iy moves along the locus SS such that its imaginary part increases at a constant rate of 44 units/sec. What is the rate of change of ∣z∣2|z|^2 at the instant when ∣Re(z)∣=2|\text{Re}(z)| = 2?

5

Let the curve CC be defined by y=f(x)y = f(x), where f(x)=∣sin⁡(πx)cos⁡(πx)2ex−1−cos⁡(πx)sin⁡(πx)ln⁡(x)−2ex−1−ln⁡(x)tan⁡(πx)∣f(x) = \begin{vmatrix} \sin(\pi x) & \cos(\pi x) & 2e^{x-1} \\ -\cos(\pi x) & \sin(\pi x) & \ln(x) \\ -2e^{x-1} & -\ln(x) & \tan(\pi x) \end{vmatrix} Let N(x)N(x) be the function representing the normal line to the curve CC at x=1x = 1. Find the value of N(1+3π)N(1 + 3\pi).

6

The sum of all values of t∈(0,20π]t \in (0, 20\pi] for which the normal to the curve given parametrically by x=cos⁡t+tsin⁡tx = \cos t + t \sin t and y=sin⁡t−tcos⁡ty = \sin t - t \cos t passes through the point (1,−1)(1, -1) is:

7

A plane is tangent to the surface S:z=4−x2−y2S: z = 4 - x^2 - y^2 at a point P(x0,y0,z0)P(x_0, y_0, z_0) in the first octant (x0>0,y0>0,z0>0x_0 > 0, y_0 > 0, z_0 > 0). The tangent plane intersects the coordinate axes at points A(a,0,0)A(a, 0, 0), B(0,b,0)B(0, b, 0), and C(0,0,c)C(0, 0, c). If x0=y0x_0 = y_0 and the vector v⃗=1ai^+1bj^+1ck^\vec{v} = \frac{1}{a}\hat{i} + \frac{1}{b}\hat{j} + \frac{1}{c}\hat{k} has a magnitude of 12\frac{1}{2}, what is the volume of the tetrahedron OABCOABC (where OO is the origin)?

8

Let f:[1,∞)→Rf: [1, \infty) \to \mathbb{R} be a differentiable function satisfying the differential equation xdydx−y=x2−y2x \frac{dy}{dx} - y = \sqrt{x^2 - y^2} with the initial condition f(1)=0f(1) = 0. The value of f(eπ)f(e^\pi) is

9

Let f(x)=∫0x(4t+5sgn(t−1)) dtf(x) = \int_{0}^{x} (4t + 5\text{sgn}(t-1)) \, dt, where sgn(⋅)\text{sgn}(\cdot) denotes the signum function. Let m1m_1 and m2m_2 be the left-hand and right-hand derivatives of f(x)f(x) at x=1x=1 respectively. Let L1L_1 and L2L_2 be the lines passing through the point (1,f(1))(1, f(1)) with slopes −1m1-\frac{1}{m_1} and −1m2-\frac{1}{m_2} respectively. If x1x_1 and x2x_2 are the x-intercepts of L1L_1 and L2L_2, find the value of x1x2x_1 x_2.

10

Let f(x)=∣x2−4x∣x−2∣1−311021∣f(x) = \begin{vmatrix} x^2-4x & |x-2| & 1 \\ -3 & 1 & 1 \\ 0 & 2 & 1 \end{vmatrix}. Consider the application of Rolle's Theorem for the function f(x)f(x) on the interval [0,4][0, 4]. If Rolle's Theorem is applicable, let SS be the sum of all valid values of c∈(0,4)c \in (0, 4) such that f′(c)=0f'(c) = 0. If Rolle's Theorem is not applicable, let S=−1S = -1. Find the value of SS.

11

Let f(x)={x}(x2−5x+8)xf(x) = \frac{\{x\} (x^2 - 5x + 8)}{x} for x∈(0,5)x \in (0, 5), where {x}\{x\} denotes the fractional part of xx. Find the number of solutions to the equation xf′(x)+f(x)=0x f'(x) + f(x) = 0 in the interval (0,5)(0, 5).

12

Let AA be a 3×33 \times 3 matrix with real entries such that all its eigenvalues are real. Let S={x∈R:tr(adj(xI−A))=0}S = \{x \in \mathbb{R} : \text{tr}(\text{adj}(xI - A)) = 0\}. Which of the following statements is \textbf{INCORRECT}?

13

Let S=min⁡t>0(t+25t)S = \min_{t>0} \left( t + \frac{25}{t} \right) and P=3⋅min⁡x,y,z>0(x+y)(y+z)(z+x)xyzP = 3 \cdot \min_{x,y,z>0} \frac{(x+y)(y+z)(z+x)}{xyz}. Let α,β\alpha, \beta (with α<β\alpha < \beta) be the roots of the equation x2−Sx+P=0x^2 - Sx + P = 0. Consider the function f(x)=x2−Sx+Px−cf(x) = \frac{x^2 - Sx + P}{x - c}, where c∈(α,β)c \in (\alpha, \beta). Let AA be the set of all values of c∈(α,β)c \in (\alpha, \beta) for which the equation f′(x)=0f'(x) = 0 has at least one real root in the interval (α,β)(\alpha, \beta). Which of the following is true?

14

Let A(x)=(x2+xx12xx21110)A(x) = \begin{pmatrix} x^2+x & x & 1 \\ 2x & x^2 & 1 \\ 1 & 1 & 0 \end{pmatrix} and f(x)=det⁡(A(x))f(x) = \det(A(x)). By Lagrange's Mean Value Theorem applied to f(x)f(x) on the interval [0,2][0, 2], there exists a point c∈(0,2)c \in (0, 2) such that the tangent to the curve y=f(x)y = f(x) at x=cx=c is parallel to the chord joining the endpoints of the interval. If M=adj(A(c))M = \text{adj}(A(c)), which of the following matrix equations is satisfied by MM?

15

Let f(x)=xsin⁡(πx2)f(x) = x \sin\left(\frac{\pi x}{2}\right) for x∈[0,1]x \in [0, 1]. By Lagrange's Mean Value Theorem, there exists c∈(0,1)c \in (0, 1) such that the tangent TT to the curve y=f(x)y = f(x) at x=cx = c is parallel to the chord joining the endpoints of the curve.

A curve CC in the complex plane is defined by the locus of z=x+iyz = x + iy satisfying ∣z−5∣−∣z+5∣=8|z - 5| - |z + 5| = 8.

If a normal to the curve CC is parallel to TT, then the equation of this normal is:

16

Let f(x)=∑k=18x2(k+[x])(k+1+[x])f(x) = \sum_{k=1}^{8} \frac{x^2}{(k+[x])(k+1+[x])}, where [x][x] denotes the greatest integer less than or equal to xx. Find the number of points c∈(1,3)c \in (1, 3) such that the tangent to the curve y=f(x)y = f(x) at x=cx = c is parallel to the chord joining the points (1,f(1))(1, f(1)) and (3,f(3))(3, f(3)).

17

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be a twice differentiable function satisfying the differential equation xf′(x)−2f(x)=2x4x f'(x) - 2f(x) = 2x^4 for all x∈Rx \in \mathbb{R}. It is given that the application of Lagrange's Mean Value Theorem to f(x)f(x) on the interval [−2,2][-2, 2] yields exactly three distinct points in the open interval (−2,2)(-2, 2) where the tangent to the curve is parallel to the secant line joining the endpoints. If SS is the set of all possible integer values of f′′(0)f''(0), find the sum of all elements in SS.

18

Let α,β∈C\alpha, \beta \in \mathbb{C} be the roots of the quadratic equation z2−(4−2i)z+(4−3i)=0z^2 - (4-2i)z + (4-3i) = 0. Consider the complex-valued function f(t)=t3−(α+β)t2+αβtf(t) = t^3 - (\alpha+\beta)t^2 + \alpha\beta t defined for a real parameter t∈[0,2]t \in [0, 2]. The function f(t)f(t) traces a curve in the complex plane. If the tangent vector to this curve at t=ct = c (where 0<c<20 < c < 2) is parallel to the chord joining the endpoints f(0)f(0) and f(2)f(2), find the value of 15c15c.

19

Let f(x)=∣x2−4∣ln⁡∣x2−4∣f(x) = |x^2 - 4|^{\ln |x^2 - 4|} for x∈R∖{−2,2}x \in \mathbb{R} \setminus \{-2, 2\}. The set of all values of xx for which f(x)f(x) is strictly increasing is:

20

Let f(x)=∫0x(t2−3t+2) dtf(x) = \int_0^x (t^2 - 3t + 2) \,dt and g(x)=x2−6x+8g(x) = x^2 - 6x + 8. If F(x)=f(g(x))F(x) = f(g(x)), then the set of all values of xx for which F(x)F(x) is strictly increasing is:

21

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be a differentiable function. For any x∈Rx \in \mathbb{R}, the signed volume of the parallelepiped formed by the vectors u⃗=ex2i^−2xex2j^\vec{u} = e^{x^2}\hat{i} - 2xe^{x^2}\hat{j}, v⃗=f(x)i^+f′(x)j^\vec{v} = f(x)\hat{i} + f'(x)\hat{j}, and w⃗=k^\vec{w} = \hat{k} is 4x34x^3. If f(x)f(x) is strictly decreasing for all x∈(0,∞)x \in (0, \infty), then the minimum possible value of f(0)f(0) is:

22

Let g:R→Rg: \mathbb{R} \rightarrow \mathbb{R} be defined as g(x)=(x2−2x+3)e−xg(x) = (x^2 - 2x + 3)e^{-x}. A function f:R→Rf: \mathbb{R} \rightarrow \mathbb{R} is defined by f(x)=∫0x(g(t)+tg′(t))dtf(x) = \int_0^x (g(t) + t g'(t)) dt. Which of the following correctly describes the intervals of monotonicity for f(x)f(x)?

23

Let f(x)=∣det⁡(x2x11xx2111)∣f(x) = \left| \det \begin{pmatrix} x^2 & x & 1 \\ 1 & x & x^2 \\ 1 & 1 & 1 \end{pmatrix} \right|. Let SS be the set of all points where f(x)f(x) attains a local extremum, DD be the set of all points where f(x)f(x) is non-differentiable, and CC be the set of all stationary points of f(x)f(x). If s=∑x∈Sxs = \sum_{x \in S} x, d=∑x∈Dxd = \sum_{x \in D} x, and c=∑x∈Cxc = \sum_{x \in C} x, find the value of 2s−d+4c2s - d + 4c.

24

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be defined as f(x)=x7+3x5+8x3+2f(x) = x^7 + 3x^5 + 8x^3 + 2. Let g(x)g(x) be the inverse function of f(x)f(x). If H(x)=g(x3−3x2+4)H(x) = g(x^3 - 3x^2 + 4), find the sum of the squares of all critical points of H(x)H(x).

25

Let f(x)f(x) be a differentiable function such that f′(x)=(x−2)2(x−3)(x−4)f'(x) = (x-2)^2 (x-3)(x-4). Let SS be the set of all points of local extrema of f(x)f(x). If AA is the area of the region bounded by the curve y=f′(x)y = f'(x), the x-axis, and the vertical lines x=min⁡(S)x = \min(S) and x=max⁡(S)x = \max(S), then find the value of 60A60A.

26

Let a function f(x)f(x) be defined as: f(x)=lim⁡N→∞∑n=1N(2n−1)(x2−3xx2+3)nf(x) = \lim_{N \to \infty} \sum_{n=1}^{N} (2n-1) \left( \frac{x^2-3x}{x^2+3} \right)^n Let SS be the set of all critical points of f(x)f(x). Find the sum of the elements of SS.

27

Let a⃗=ti^+t2j^+k^\vec{a} = t \hat{i} + t^2 \hat{j} + \hat{k}, b⃗=2i^+4j^+k^\vec{b} = 2 \hat{i} + 4 \hat{j} + \hat{k}, and c⃗=4i^+16j^+k^\vec{c} = 4 \hat{i} + 16 \hat{j} + \hat{k} be three vectors parameterized by t∈Rt \in \mathbb{R}. Let p⃗=a⃗×b⃗\vec{p} = \vec{a} \times \vec{b}, q⃗=b⃗×c⃗\vec{q} = \vec{b} \times \vec{c}, and r⃗=c⃗×a⃗\vec{r} = \vec{c} \times \vec{a}. For t∈(0,6)t \in (0, 6) such that [p⃗ q⃗ r⃗]≠0[\vec{p} \, \vec{q} \, \vec{r}] \neq 0, let p⃗′,q⃗′,r⃗′\vec{p}', \vec{q}', \vec{r}' be the reciprocal system of vectors for p⃗,q⃗,r⃗\vec{p}, \vec{q}, \vec{r}. If f(t)f(t) is the continuous extension of the function g(t)=12[p⃗′ q⃗′ r⃗′]g(t) = \frac{1}{2 \sqrt{[\vec{p}' \, \vec{q}' \, \vec{r}']}} over the interval (0,6)(0, 6), find the sum of all values of tt at which f(t)f(t) attains a local extremum.

28

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be a function defined as f(x)=sin⁡−1(2x1+x2)+cos⁡−1(1−x21+x2)−∣x∣f(x) = \sin^{-1}\left(\frac{2x}{1+x^2}\right) + \cos^{-1}\left(\frac{1-x^2}{1+x^2}\right) - |x| Let MM be the global maximum value of f(x)f(x). Then MM is equal to:

29

Let f(x)=∣xx2x32x4x28x33x9x227x3∣f(x) = \begin{vmatrix} x & x^2 & x^3 \\ 2x & 4x^2 & 8x^3 \\ 3x & 9x^2 & 27x^3 \end{vmatrix}. Define a function g(x)=f′(x)+90x4−240x3g(x) = f'(x) + 90x^4 - 240x^3. If x=αx = \alpha is the unique point of local minimum for g(x)g(x), find the value of α\alpha.

30

Let f(x)=∫0x(lim⁡n→∞t2n−(x−2)2nt2n+(x−2)2n)dtf(x) = \int_0^x \left( \lim_{n \to \infty} \frac{t^{2n} - (x-2)^{2n}}{t^{2n} + (x-2)^{2n}} \right) dt for x≥0x \ge 0. Find the area bounded by the curve y=f(x)y = f(x) and the x-axis for x∈[0,4]x \in [0, 4].

31

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be defined as f(x)=∫0x({t}3−{t})dtf(x) = \int_0^x (\{t\}^3 - \{t\}) dt where {t}\{t\} denotes the fractional part of tt. Which of the following statements is CORRECT?

32

Let f(x)=∣22x+12x+12x+122∣f(x) = \begin{vmatrix} 2 & 2 & x+1 \\ 2 & x+1 & 2 \\ x+1 & 2 & 2 \end{vmatrix}. If x1x_1 is the point of local maximum and x2x_2 is the point of local minimum of f(x)f(x), then the value of 2x1−x22x_1 - x_2 is:

33

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be a function defined by f(x)=x3−3x2+6x+ktan⁡−1(x)f(x) = x^3 - 3x^2 + 6x + k \tan^{-1}(x) where k∈Zk \in \mathbb{Z}. Find the minimum integral value of kk such that f(x)f(x) is an injective function.

34

Find the global maximum value of the function f(x)=sin⁡−1(sin⁡x)+ln⁡∣x−3∣f(x) = \sin^{-1}(\sin x) + \ln|x - \sqrt{3}| on the interval [0,π][0, \pi].

35

Let F(x)=∫0x(t2−5t+4)ln⁡(3−t) dtF(x) = \int_{0}^{x} (t^2 - 5t + 4) \ln(3 - t) \, dt be defined on its maximal domain (−∞,3)(-\infty, 3). If x0x_0 is the point of local maximum of F(x)F(x), then the value of F(x0)F(x_0) is:

36

Let f:[−2π3,2π3]→Rf: \left[-\frac{2\pi}{3}, \frac{2\pi}{3}\right] \to \mathbb{R} be a continuous function satisfying the differential equation sin⁡xdydx+ycos⁡x=xcos⁡x\sin x \frac{dy}{dx} + y \cos x = x \cos x for all x∈[−2π3,2π3]∖{0}x \in \left[-\frac{2\pi}{3}, \frac{2\pi}{3}\right] \setminus \{0\}. If MM and mm are the global maximum and global minimum values of f(x)f(x) respectively, then M−mM - m is equal to:

37

Let f(x)=∣0x2−4x+1x2−4x+1x2−4x+1−x2+4x−102x2−8x+24x2−16x+4−x2+4x−1−2x2+8x−20x2−4x+1−x2+4x−1−4x2+16x−4−x2+4x−10∣f(x) = \begin{vmatrix} 0 & x^2-4x+1 & x^2-4x+1 & x^2-4x+1 \\ -x^2+4x-1 & 0 & 2x^2-8x+2 & 4x^2-16x+4 \\ -x^2+4x-1 & -2x^2+8x-2 & 0 & x^2-4x+1 \\ -x^2+4x-1 & -4x^2+16x-4 & -x^2+4x-1 & 0 \end{vmatrix}. Find the global maximum value of f(x)f(x) on the interval [0,5][0, 5].

38

Let SS be the set of all values of the parameter cc such that the solution y=f(x)y = f(x) of the differential equation dydx−y=cos⁡x−sin⁡x\frac{dy}{dx} - y = \cos x - \sin x satisfying y(0)=2c+1y(0) = 2c + 1 has exactly two points of inflection in the interval (0,π)(0, \pi). Then SS is equal to:

39

Let A(t)=(t−3111t−3111t−3)A(t) = \begin{pmatrix} t-3 & 1 & 1 \\ 1 & t-3 & 1 \\ 1 & 1 & t-3 \end{pmatrix} and f(x)=∫0x(det⁡(A(t)))1/3dtf(x) = \int_0^x (\det(A(t)))^{1/3} dt. If SS is the sum of the abscissae of all the points of inflection of the curve y=f(x)y = f(x), find the value of SS.

40

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be a function defined by f(x)={1+(x−1)2+(x−1)42−e(x−1)2(x−1)2if x<1x5−6x4+14x3−16x2+9x−2if x≥1f(x) = \begin{cases} \frac{1 + (x-1)^2 + \frac{(x-1)^4}{2} - e^{(x-1)^2}}{(x-1)^2} & \text{if } x < 1 \\ x^5 - 6x^4 + 14x^3 - 16x^2 + 9x - 2 & \text{if } x \ge 1 \end{cases} Let SS be the set of all points of inflection of the curve y=f(x)y = f(x). Find the sum of the elements of SS.

41

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be a function defined by f(x)=∫0x(t2−4)3(∫−tt(u4ln⁡(3+sin⁡u3−sin⁡u)e∣u∣+55u4−330u2)du)dtf(x) = \int_{0}^{x} (t^2 - 4)^3 \left( \int_{-t}^{t} \left( u^4 \ln\left(\frac{3+\sin u}{3-\sin u}\right) e^{|u|} + 55u^4 - 330u^2 \right) du \right) dt Find the sum of the squares of the abscissae of all points of inflection of the curve y=f(x)y = f(x).

42

Let F(x)=∫0x2et−4−cos⁡(t−4)t2−16 dtF(x) = \int_{0}^{x^2} \frac{e^{t-4} - \cos(t-4)}{t^2 - 16} \, dt. Using differentials, the approximate value of F(2.04)−F(2)F(2.04) - F(2) is:

43

Let f:R→Rf: \mathbb{R} \to \mathbb{R} be a differentiable function such that for x≠1x \neq 1, f(x)=20x21−21x20+1(1−x)2f(x) = \frac{20x^{21} - 21x^{20} + 1}{(1-x)^2} and f(1)=lim⁡x→1f(x)f(1) = \lim_{x \to 1} f(x). Using the method of differentials, the approximate value of f(1.005)f(1.005) is:

44

Let y=f(x)y = f(x) be a differentiable function satisfying the differential equation xdydx+y=x2y2x \frac{dy}{dx} + y = x^2 y^2 for x>0x > 0, with the initial condition f(1)=−13f(1) = -\frac{1}{3}. Using differentials, the approximate value of f(2.032)f(2.032) is:

45

Let u⃗,v⃗,w⃗\vec{u}, \vec{v}, \vec{w} be three unit vectors such that the angle between any two of them is π3\frac{\pi}{3}. Define three new vectors using the vector triple product: a⃗=u⃗×(v⃗×w⃗),b⃗=v⃗×(w⃗×u⃗),c⃗=w⃗×(u⃗×v⃗)\vec{a} = \vec{u} \times (\vec{v} \times \vec{w}), \quad \vec{b} = \vec{v} \times (\vec{w} \times \vec{u}), \quad \vec{c} = \vec{w} \times (\vec{u} \times \vec{v}) A variable parallelepiped is formed by the coterminous edges A⃗=u⃗+xa⃗\vec{A} = \vec{u} + x\vec{a}, B⃗=v⃗+xb⃗\vec{B} = \vec{v} + x\vec{b}, and C⃗=w⃗+xc⃗\vec{C} = \vec{w} + x\vec{c}, where xx is a scalar parameter. Let ΔV\Delta V be the exact change in the volume of this parallelepiped as xx changes from 00 to a small value ϵ>0\epsilon > 0. If dVdV is the estimated change in volume using the first-order differential approximation at x=0x=0, find the value of ΔV−dV\Delta V - dV.

46

Let z1,z2,z3z_1, z_2, z_3 be the roots of the equation z3−1=0z^3 - 1 = 0 such that Im(z1)=0\text{Im}(z_1) = 0 and Im(z2)>Im(z3)\text{Im}(z_2) > \text{Im}(z_3). Consider the complex-valued function S(θ)=2z1+z2eiθ+z3ei2θS(\theta) = 2z_1 + z_2 e^{i\theta} + z_3 e^{i2\theta} Using differentials, the approximate value of ∣S(0.02)∣|S(0.02)| is:

47

Let L1L_1 be the line given by x−11=y−12=z−12\frac{x-1}{1} = \frac{y-1}{2} = \frac{z-1}{2} and L2(t)L_2(t) be the family of lines given by x−(3t−t2/2)2=y−2∣t−2∣1=z+8−2\frac{x - (3t - t^2/2)}{2} = \frac{y - 2|t-2|}{1} = \frac{z + 8}{-2}, where t∈Rt \in \mathbb{R}. If d(t)d(t) represents the shortest distance between the lines L1L_1 and L2(t)L_2(t), then the minimum value of d(t)d(t) is:

48

Consider a right circular cylinder with base radius r(x)=x2−9x+18r(x) = x^2 - 9x + 18 and height h(x)=e−xh(x) = e^{-x}. The volume V(x)V(x) is defined only for those x∈Rx \in \mathbb{R} where the cylinder has strictly positive dimensions. Let SS be the set of all xx where V(x)V(x) attains a local maximum. Find the sum of the elements in SS.

49

Let SS be the set of all points (a,b)(a, b) lying on the curve a2+b2−6a−8b=0a^2 + b^2 - 6a - 8b = 0 such that the function f(x)=x33−ax2+(a2−b2+17b−72)x+2024f(x) = \frac{x^3}{3} - ax^2 + (a^2 - b^2 + 17b - 72)x + 2024 is strictly increasing on R\mathbb{R}. Find the maximum value of a+ba+b for (a,b)∈S(a, b) \in S.

50

Let y=f(x)y = f(x) be the continuous solution to the differential equation dydx=yx+3−[yx],x≥1\frac{dy}{dx} = \frac{y}{x} + 3 - \left[ \frac{y}{x} \right], \quad x \ge 1 with the initial condition f(1)=0f(1) = 0, where [⋅][ \cdot ] denotes the greatest integer function. Let SS be the set of all points x>1x > 1 where f(x)f(x) is not differentiable. Which of the following represents the product of all elements in SS?

Related Chapters

Explore other chapters from the same academic theme.

Ready to Master This Chapter?

Practice 50 carefully selected questions designed to strengthen your concepts, avoid common traps, and build confidence for competitive examinations.

Start Free Practice