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Mathematics • Class 12

Matrices - Class 12

Master Matrix Algebra 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 introduces matrices as a mathematical tool for representing and solving linear equations. It covers types of matrices, operations on matrices, and their properties, laying the foundation for advanced topics like determinants and eigenvalues.

Why This Chapter Matters

  • Matrices are fundamental in various fields like computer science, engineering, physics, and data science. A strong understanding of matrices is essential for excelling in mathematics and applying it in real-world problems.

Real-Life Applications

  • Representing and solving systems of linear equations in various fields like physics and engineering.
  • Modeling real-world problems in computer science, such as graphics transformations.
  • Building a foundation for advanced mathematical topics like linear transformations and eigenvalues.

Skills You Will Learn

  • Understanding different types of matrices and their properties.
  • Performing operations on matrices like addition, multiplication, and finding the transpose.
  • Applying matrices to solve linear equations and real-world problems.

Core Concepts to Master

Matrix Equality

Equality implies same order and identical corresponding elements; watch for parametric constraints and domain definition traps.

Matrix Multiplication Non-Commutativity

AB does not equal BA in general. Always respect order; transposition and inversion laws depend on this sequence.

Singular vs Non-Singular Matrices

Singular matrices have determinant zero and no inverse. They are the 'zero-divisor' equivalents in matrix algebra.

Idempotent and Involutory Properties

A²=A (Idempotent) and A²=I (Involutory). Memorize these identities to simplify high-power matrix expressions instantly.

Transpose of Product

(AB)ᵀ = BᵀAᵀ. The reversal of order is a common error point in complex algebraic proofs.

Symmetric and Skew-Symmetric Decomposition

Any square matrix A is (A+Aᵀ)/2 + (A-Aᵀ)/2. Skew-symmetric matrices have zero diagonal elements.

Adjoint-Determinant Relation

adj(A)A = |A|I. This is the primary bridge between matrix algebra and determinant properties.

Inversion and Determinant Product

(AB)⁻¹ = B⁻¹A⁻¹ and |AB| = |A||B|. Never assume inverse distribution over addition; it is strictly multiplicative.

Elementary Row Operations

Operations do not change the determinant value (in specific types); crucial for simplifying large matrices before calculation.

Matrix Trace Properties

Tr(A+B) = Tr(A) + Tr(B) and Tr(AB) = Tr(BA). Used to solve competitive problems involving cyclic permutations.

System of Linear Equations (Cramer/Inverse)

AX=B. If |A| is 0, check for consistency vs. infinite solutions using the adj(A)B condition.

Orthogonal Matrix Conditions

AᵀA = I. These matrices preserve lengths and dot products; essential for rotational coordinate transformation geometry.

Nilpotent Matrix Logic

Aᵏ = 0 for some k. These matrices cannot be invertible; often used in 'series expansion' type trick questions.

Inverse Existence Criterion

Inverse exists if and only if the matrix is non-singular. Always verify |A| before attempting inverse calculations.

Characteristic Equation

Cayley-Hamilton Theorem: A matrix satisfies its own characteristic equation. Use it to compute high powers of A.

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.

Matrix Equality
Integration by Parts (LIATE Rule)
Logarithmic Integration Modulus
Denominator Restriction
Matrix Equality
Matrix Trace Properties
Sum of Powers of Natural Numbers
L'Hopital's Pitfall
Matrix Equality
Singular vs. Non-Singular Threshold
Unbounded Region Trap
Graphical Feasible Region
Singular vs Non-Singular Matrices
Dot Product Projection Sign
Angle between two lines
Singular vs Non-Singular Matrices
Exact Differential Recognition
Composition Continuity
Singular vs Non-Singular Matrices
Geometry Constraint Modeling
Variable plane intercepts
Global Extrema on Intervals
Singular vs Non-Singular Matrices
Idempotent and Involutory Properties
Signum Function Discontinuity
Domain Constraint Intersections
Singular vs Non-Singular Matrices
Indeterminate Forms
Infinite Limit Behavior
Denominator Restriction
Singular vs Non-Singular Matrices
Linear Dependency of Rows
Order and Degree Definition
Modulus Function Breakdown
Singular vs Non-Singular Matrices
Method of Differences
Wavy Curve (Method of Intervals)
Singular vs Non-Singular Matrices
Rolle's Theorem Root Existence
Modulus Function Symmetry
Singular vs Non-Singular Matrices
Vector Product Anti-Commutativity
Position Vector Origin Dependence
Collinearity and Coplanarity
Idempotent and Involutory Properties
Characteristic Equation
Singular vs. Non-Singular Threshold
Idempotent and Involutory Properties
Condition for Common Roots
Maximum/Minimum of Quadratic Expressions
Idempotent and Involutory Properties
Injective Mapping (One-One)
Extraneous Solution Rejection
Idempotent and Involutory Properties
Linear Differential Equation Structure
Integration Constant Trap
Idempotent and Involutory Properties
Orthogonal Trajectories
Geometric Interpretation
Idempotent and Involutory Properties
Scalar Triple Product Volume Logic
Unit Vector Normalization
Idempotent and Involutory Properties
Tangent/Normal Slope Interplay
Second Derivative Test Limitations
Idempotent and Involutory Properties
Triangle Inequality Mind Games
Geometrical Interpretation of Modulus
Image of a point in a plane
Transpose of Product
Differentiation of Determinants
The L'Hôpital's Rule Misuse
Transpose of Product
Euler's Form and Rotations
Square Root and Modulus Logic
Transpose of Product
Scalar Triple Product Volume Logic
Row/Column Exchange Parity
Greatest Integer Function Traps
Transpose of Product
Selection of GP Terms
Sign Flipping Rule
Symmetric and Skew-Symmetric Decomposition
Inversion and Determinant Product
Row/Column Exchange Parity
Symmetric and Skew-Symmetric Decomposition
Lagrange Identity
Direction Cosines constraint
Symmetric and Skew-Symmetric Decomposition
Second Order Derivative Continuity
Parametric Derivative Endpoint Trap
Symmetric and Skew-Symmetric Decomposition
System of Linear Equations (Cramer/Inverse)
The Modulus Trap
Adjoint-Determinant Relation
Factor Theorem in Determinants
Step Function Discontinuities
Adjoint-Determinant Relation
Scalar Triple Product Volume Logic
Geometrical Interpretation of Modulus
Greatest Integer Function Traps
Inversion and Determinant Product
Nilpotent Matrix Logic
Order and Degree Definition
Inversion and Determinant Product
Orthogonal Matrix Conditions
Euler's Form and Rotations
Inversion and Determinant Product
Scalar Triple Product Volume Logic
Image of a point in a plane
Inversion and Determinant Product
Sigma Notation Properties
Exponent of Prime in n!
Inversion and Determinant Product
Singular vs Non-Singular Matrices
Modulus Sign Dependency
Elementary Row Operations
Bernoulli Equation Transformation
Homogeneous Function Homogeneity
Elementary Row Operations
Cramer's Rule Constraints
Even Multiplicity Roots
The Zero-Factor Cancellation Trap
Elementary Row Operations
Properties of Transpose Determinant
Selection vs Arrangement
Elementary Row Operations
Scalar Triple Product Volume Logic
Unit Vector Normalization
Matrix Trace Properties
Definite Integral Properties (King's Property)
Step Function Discontinuities
Matrix Trace Properties
Linear Differential Equation Structure
Implicit to Explicit Conversion
Matrix Trace Properties
Matrix Multiplication Non-Commutativity
Vector Product Anti-Commutativity
Matrix Trace Properties
Method of Differences
The Empty Set Trap
Matrix Trace Properties
Vieta’s Formulas in Complex Domain
Triangle Inequality Mind Games
System of Linear Equations (Cramer/Inverse)
Conjugate Root Theorem
Step Function Discontinuities
System of Linear Equations (Cramer/Inverse)
Line lying in a plane
Cross Multiplication Trap
Right-Hand vs Left-Hand Derivatives
System of Linear Equations (Cramer/Inverse)
Linear Differential Equation Structure
Chain Rule Inner Function Differentiability
System of Linear Equations (Cramer/Inverse)
Multiple Optimal Solutions
System of Inequalities
Orthogonal Matrix Conditions
Angle Bisector Direction
Collinearity vs Coplanarity
Orthogonal Matrix Conditions
Differentiation of Determinants
Leibniz Rule for Differentiation under Integral
Orthogonal Matrix Conditions
Inversion and Determinant Product
Variable Transformation Substitution
Orthogonal Matrix Conditions
Symmetry and Periodicity
Even and Odd Function Symmetry
Nilpotent Matrix Logic
Inverse Existence Criterion
V-N Method (Partial Fractions)
Nilpotent Matrix Logic
Matrix Trace Properties
Vieta’s Formulas in Complex Domain
Inverse Existence Criterion
Determinant Product Rule
Extraneous Solution Rejection
Domain Constraint Intersections
Inverse Existence Criterion
Injective Mapping (One-One)
Signum Function Discontinuity
Inverse Existence Criterion
Matrix Trace Properties
Correction of Incorrect Mean/Variance
Inverse Existence Criterion
Scalar Triple Product Volume Logic
Collinearity and Coplanarity
Collinearity vs Coplanarity
Characteristic Equation
Angle between two planes
Parametric Form Manipulation
Characteristic Equation
Determinant as Geometric Area/Volume
Equiprobability Fallacy
Characteristic Equation
Inversion and Determinant Product
Denominator Restriction
Characteristic Equation
Parametric form pitfalls
Compound Angle Expansion

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

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

Let y=f(x)y = f(x) be a twice differentiable, strictly decreasing function on R\mathbb{R}. For all x∈Rx \in \mathbb{R}, the rows of the matrix M=(y′′ex1∣y′∣10yx1)M = \begin{pmatrix} y'' & e^x & 1 \\ |y'| & 1 & 0 \\ y & x & 1 \end{pmatrix} are linearly dependent. If mm and nn are the order and degree of the differential equation satisfied by y=f(x)y = f(x) respectively, then find the value of 2m+3n2m + 3n.

2

Let a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c} be three non-coplanar vectors representing the position vectors of points A,B,CA, B, C with respect to an origin OO. A new origin DD is chosen with position vector d⃗=xa⃗+yb⃗+zc⃗\vec{d} = x\vec{a} + y\vec{b} + z\vec{c} such that x+y+z≠1x+y+z \neq 1. Let r⃗A,r⃗B,r⃗C\vec{r}_A, \vec{r}_B, \vec{r}_C be the position vectors of A,B,CA, B, C with respect to DD. A 3×33 \times 3 matrix MM is formed such that its rows are the scalar components of the vectors u⃗,v⃗,w⃗\vec{u}, \vec{v}, \vec{w} respectively, where: u⃗=7(r⃗A×r⃗B)+3(r⃗B×r⃗C)\vec{u} = 7(\vec{r}_A \times \vec{r}_B) + 3(\vec{r}_B \times \vec{r}_C) v⃗=7(r⃗B×r⃗C)+7(r⃗C×r⃗A)\vec{v} = 7(\vec{r}_B \times \vec{r}_C) + 7(\vec{r}_C \times \vec{r}_A) w⃗=3(r⃗C×r⃗A)+λ(r⃗B×r⃗A)\vec{w} = 3(\vec{r}_C \times \vec{r}_A) + \lambda(\vec{r}_B \times \vec{r}_A) If MM is a singular matrix for all such choices of DD, then the value of λ\lambda is:

3

Let A=(sgn(x2−x−2)+1cos⁡−1(x)sin⁡(2πx)sgn(x+1))A = \begin{pmatrix} \text{sgn}(x^2 - x - 2) + 1 & \cos^{-1}(x) \\ \sin(2\pi x) & \text{sgn}(x + 1) \end{pmatrix}, where sgn(⋅)\text{sgn}(\cdot) denotes the signum function. If SS is the set of all real values of xx for which AA is an idempotent matrix, then the value of 4∑x∈Sx24 \sum_{x \in S} x^2 is equal to

4

A variable plane PP has intercepts a(t),b(t),a(t), b(t), and c(t)c(t) on the x,y,x, y, and zz axes respectively, where a(t)=t3+ka(t) = t^3 + k, b(t)=152t2b(t) = \frac{15}{2}t^2, and c(t)=t3+36tc(t) = t^3 + 36t for a parameter t∈[0,4]t \in [0, 4]. Consider the system of planes given by the equations: P1:x+y+z=1P_1: x + y + z = 1 P2:x+2y+3z=1P_2: x + 2y + 3z = 1 P3:a(t)x+b(t)y+c(t)z=1P_3: a(t)x + b(t)y + c(t)z = 1 If the coefficient matrix of this system is non-singular for all t∈[0,4]t \in [0, 4], what is the complete set of values for the real constant kk?

5

Let A=(2−2−4−1341−2−3)A = \begin{pmatrix} 2 & -2 & -4 \\ -1 & 3 & 4 \\ 1 & -2 & -3 \end{pmatrix}. Consider the system of linear equations given by (A2024−I)x=(abc)(A^{2024} - I) \mathbf{x} = \begin{pmatrix} a \\ b \\ c \end{pmatrix}, where II is the 3×33 \times 3 identity matrix and x=(xyz)\mathbf{x} = \begin{pmatrix} x \\ y \\ z \end{pmatrix}. If this system has infinitely many solutions, which of the following conditions must be true?

6

Let AA be a 3×33 \times 3 matrix whose rows are given by the vectors r⃗1,r⃗2,r⃗3∈R3\vec{r}_1, \vec{r}_2, \vec{r}_3 \in \mathbb{R}^3. It is given that AA is an involutory matrix and r⃗1,r⃗2,r⃗3\vec{r}_1, \vec{r}_2, \vec{r}_3 are unit vectors. If r⃗1=13i^+13j^+13k^\vec{r}_1 = \frac{1}{\sqrt{3}}\hat{i} + \frac{1}{\sqrt{3}}\hat{j} + \frac{1}{\sqrt{3}}\hat{k} and r⃗2=xi^+yj^+zk^\vec{r}_2 = x \hat{i} + y \hat{j} + z \hat{k}, then the maximum possible value of yy is:

7

Let A(x)=(0x−1000x(x−1)200)A(x) = \begin{pmatrix} 0 & x-1 & 0 \\ 0 & 0 & x \\ (x-1)^2 & 0 & 0 \end{pmatrix}. A curve C:y=f(x)C: y = f(x) passes through the point (2,1)(2, 1). The slope of the tangent to CC at any point (x,f(x))(x, f(x)) is given by 13tr(A(x)3)\frac{1}{3}\text{tr}(A(x)^3). Let S1S_1 be the set of all xx-coordinates where f(x)f(x) attains a local minimum, and S2S_2 be the set of all xx-coordinates where f(x)f(x) attains a local maximum. Find the value of 20(∑x∈S1f(x)−∑x∈S2f(x))20 \left( \sum_{x \in S_1} f(x) - \sum_{x \in S_2} f(x) \right). (If a set is empty, its sum is taken as 00).

8

Let SS be the set of all real numbers kk for which the quadratic equations x2−2x+1−k=0x^2 - 2x + 1 - k = 0 and x2−2kx+k−1=0x^2 - 2\sqrt{k}x + k - 1 = 0 have at least one common real root. Let AA be a 2×22 \times 2 matrix with real entries such that its trace is k2−4k+5k^2 - 4k + 5 and its determinant is k−2k-2. If k∈Sk \in S is chosen such that the trace of AA is minimized, which of the following is equal to A2024A^{2024}?

9

Let A=(3−61−2)A = \begin{pmatrix} 3 & -6 \\ 1 & -2 \end{pmatrix} and B=(42−26)B = \begin{pmatrix} 4 & 2 \\ -2 & 6 \end{pmatrix}. Let Y(t)Y(t) be a 2×22 \times 2 matrix-valued function satisfying the differential equation dYdt=AY−YA\frac{dY}{dt} = AY - YA with the initial condition Y(0)=BY(0) = B. Find the sum of the elements of the matrix Y(ln⁡2)Y(\ln 2).

10

Let A(x)=(x[x]{x}[x]{x}x{x}x[x])A(x) = \begin{pmatrix} x & [x] & \{x\} \\ [x] & \{x\} & x \\ \{x\} & x & [x] \end{pmatrix}, where [x][x] denotes the greatest integer less than or equal to xx, and {x}\{x\} denotes the fractional part of xx. Let PP be the 3×33 \times 3 matrix obtained by interchanging the first and second rows of the identity matrix I3I_3. If B(x)=adj(P)A(x)TPB(x) = \text{adj}(P) A(x)^T P and f(x)f(x) is the scalar triple product of the vectors formed by the first, second, and third rows of B(x)B(x) respectively, find the value of 16∫−12f(x)dx16 \int_{-1}^{2} f(x) dx.

11

Let PP be a 3×33 \times 3 matrix with complex entries satisfying PPθ=2IP P^\theta = 2I and det⁡(P)=22i\det(P) = 2\sqrt{2} i, where PθP^\theta is the conjugate transpose of PP. Let QQ be a 3×33 \times 3 matrix given by Q=(eiπ/3000e−iπ/30001)Q = \begin{pmatrix} e^{i\pi/3} & 0 & 0 \\ 0 & e^{-i\pi/3} & 0 \\ 0 & 0 & 1 \end{pmatrix} Define M=PQPTM = P Q P^T and N=PQPθN = P Q P^\theta, where PTP^T is the transpose of PP. If Z=det⁡(M)2det⁡(N)NZ = \frac{\det(M)}{2 \det(N)} N, find the value of ∑k=15Tr(Zk)\sum_{k=1}^{5} \text{Tr}(Z^k)

12

Let A(x)A(x) and B(x)B(x) be 3×33 \times 3 matrices defined for x∈(−π2,π2)x \in \left(-\frac{\pi}{2}, \frac{\pi}{2}\right) as follows: A(x)=[x+x2sin⁡(1x)sin⁡xcos⁡x0cos⁡xsin⁡x0−sin⁡xcos⁡x] for x≠0, and A(0)=[001010001]A(x) = \begin{bmatrix} x + x^2 \sin\left(\frac{1}{x}\right) & \sin x & \cos x \\ 0 & \cos x & \sin x \\ 0 & -\sin x & \cos x \end{bmatrix} \text{ for } x \neq 0, \text{ and } A(0) = \begin{bmatrix} 0 & 0 & 1 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix} B(x)=[sec⁡xtan⁡x0tan⁡xsec⁡x0001]B(x) = \begin{bmatrix} \sec x & \tan x & 0 \\ \tan x & \sec x & 0 \\ 0 & 0 & 1 \end{bmatrix} If M(x)=(A(x)B(x))TM(x) = (A(x) B(x))^T, then the value of lim⁡x→0det⁡(M(x))e2x−1\lim_{x \to 0} \frac{\det(M(x))}{e^{2x} - 1} is:

13

Let tnt_n be a geometric progression of real numbers with first term t1=1t_1 = 1 and a non-zero common ratio rr. For each integer k≥1k \ge 1, define the 3×33 \times 3 matrix MkM_k as: Mk=(tktk+1tk+2−tk+1tktk+1−tk+2−tk+1tk)M_k = \begin{pmatrix} t_k & t_{k+1} & t_{k+2} \\ -t_{k+1} & t_k & t_{k+1} \\ -t_{k+2} & -t_{k+1} & t_k \end{pmatrix} If rr satisfies the inequality det⁡(−(M1M2)T)≥−16t4\det( - (M_1 M_2)^T ) \ge -16 t_4, find the sum of all possible integer values of rr in the interval [−3,3][-3, 3].

14

Let S={z∈C:∣z∣≤3}S = \{ z \in \mathbb{C} : |z| \le 3 \}. For any z∈Sz \in S, a matrix AA is defined as: A=([∣z∣]−111[∣z−3∣]−1−11[∣z−4i∣])A = \begin{pmatrix} [|z|] & -1 & 1 \\ 1 & [|z-3|] & -1 \\ -1 & 1 & [|z-4i|] \end{pmatrix} where [x][x] denotes the greatest integer less than or equal to xx. Let VV be the volume of the parallelepiped whose coterminous edges are the column vectors of the matrix Adj(A)\text{Adj}(A). Find the maximum possible value of VV.

15

Let A(x) = \\begin{pmatrix} 2 & 2x & 2x^2 \\\\ 2 & 2x-2 & 2x^2-4x+2 \\\\ 2 & 2[x] & 2[x]^2 \\end{pmatrix}, where [x][x] denotes the greatest integer less than or equal to xx. Let f(x)=sqrtdet(textadj(A(x)))f(x) = \\sqrt{\\det(\\text{adj}(A(x)))}. Define the sets S1S_1 and S2S_2 in the interval (0,10)(0, 10) as:\nS_1 = \\{x \\in (0, 10) \\mid f(x) \\text{ is discontinuous}\\}\\nS_2 = \\{x \\in (0, 10) \\mid f(x) \\text{ is non-differentiable}\\}\\nIf MM is the maximum value of f(x)f(x) on mathbbR\\mathbb{R}, find the value of 10M+n(S1)+n(S2)10M + n(S_1) + n(S_2), where n(S)n(S) denotes the number of elements in set SS.

16

Let w,x,y,z∈Rw, x, y, z \in \mathbb{R} such that the following matrix equation holds: (wxyz)=(∫−e−1tln⁡∣t∣dt∫−22t34−t2dt∫1etln⁡tdt∫12(3t2−2t+54)dt)\begin{pmatrix} w & x \\ y & z \end{pmatrix} = \begin{pmatrix} \int_{-e}^{-1} t \ln|t| dt & \int_{-2}^{2} \frac{t^3}{\sqrt{4-t^2}} dt \\ \int_{1}^{e} t \ln t dt & \int_{1}^{2} \left( 3t^2 - 2t + \frac{5}{4} \right) dt \end{pmatrix} Find the value of w+x+y+zw + x + y + z.

17

Let A(x)=(e1/xsin⁡x11x11x1x−x2ln⁡(1+1x)1)A(x) = \begin{pmatrix} e^{1/x} & \sin x & 1 \\ \frac{1}{x} & 1 & \frac{1}{x} \\ 1 & x - x^2 \ln\left(1+\frac{1}{x}\right) & 1 \end{pmatrix} Evaluate lim⁡x→∞(xdet⁡(A(x)))x2\lim_{x \to \infty} \left( x \det(A(x)) \right)^{x^2}

18

Let u⃗\vec{u} and v⃗\vec{v} be two unit vectors in R3\mathbb{R}^3 such that the angle between them is 2π3\frac{2\pi}{3}. Let L1L_1 and L2L_2 be the lines passing through the origin parallel to u⃗\vec{u} and v⃗\vec{v} respectively. Let w⃗\vec{w} be a unit vector such that the angle between the line L3L_3 (parallel to w⃗\vec{w}) and L1L_1 is π3\frac{\pi}{3}, and the angle between L3L_3 and L2L_2 is also π3\frac{\pi}{3}. If the algebraic projection of w⃗\vec{w} on u⃗\vec{u} is positive and the algebraic projection of w⃗\vec{w} on v⃗\vec{v} is negative, let MM be the 3×33 \times 3 matrix whose rows are the components of u⃗,v⃗,\vec{u}, \vec{v}, and w⃗\vec{w} in a standard orthonormal basis. The value of ∣det⁡(M)∣|\det(M)| is:

19

Let y=f(x)y = f(x) be the particular solution to the exact differential equation (2xyex2)dx+(ex2+2y)dy=0(2x y e^{x^2})dx + (e^{x^2} + 2y)dy = 0 satisfying f(0)=1f(0) = 1. Let the function g(x)g(x) be defined as g(x)=lim⁡n→∞246x2n+1246x2n+1g(x) = \lim_{n \to \infty} \frac{246 x^{2n} + \frac{1}{246}}{x^{2n} + 1} Define the matrix A(x)A(x) as A(x)=(f(x)f(g(x))ex2e(g(x))2)A(x) = \begin{pmatrix} f(x) & f(g(x)) \\ e^{x^2} & e^{(g(x))^2} \end{pmatrix} The product of all real values of xx for which the matrix A(x)A(x) is singular is:

20

Let the involutory matrix A=13(−1222−1222−1)A = \frac{1}{3} \begin{pmatrix} -1 & 2 & 2 \\ 2 & -1 & 2 \\ 2 & 2 & -1 \end{pmatrix}. A non-zero complex vector Z⃗=(z1z2z3)\vec{Z} = \begin{pmatrix} z_1 \\ z_2 \\ z_3 \end{pmatrix} satisfies the transformation equation AZ⃗=−Z⃗A\vec{Z} = -\vec{Z}. If the moduli of its components are given by ∣z1∣=7|z_1| = 7, ∣z2∣=8|z_2| = 8, and ∣z3∣=15|z_3| = 15, find the value of ∣z12+z22+z32∣|z_1^2 + z_2^2 + z_3^2|.

21

Let f(x)=∣x∣+x2f(x) = |x| + x^2 for x∈[−1,1]x \in [-1, 1]. Consider the matrix M(x)=(f′(x)221−11011)M(x) = \begin{pmatrix} f'(x) & 2 & 2 \\ 1 & -1 & 1 \\ 0 & 1 & 1 \end{pmatrix} defined for all x∈(−1,1)∖{0}x \in (-1, 1) \setminus \{0\}. Let CC be the set of all c∈(−1,1)∖{0}c \in (-1, 1) \setminus \{0\} such that M(c)M(c) is a singular matrix. If CC is non-empty, let S=∑c∈CcS = \sum_{c \in C} c. If CC is empty, let S=10S = 10. Find the value of SS.

22

Let A=I+KA = I + K be a 4×44 \times 4 matrix, where II is the identity matrix and K=[kij]K = [k_{ij}] is a skew-symmetric matrix with real entries. It is given that k12=1k_{12}=1, k13=2k_{13}=2, k14=3k_{14}=3, k24=2k_{24}=2, k34=1k_{34}=1, and k23=−xk_{23}=-x for some x>0x > 0. If det⁡(K)=36\det(K) = 36, find the value of det⁡(A)\det(A).

23

Let l,m,nl, m, n be the direction cosines of a line in three-dimensional space. Define the matrix KK as K=(0−nmn0−l−ml0)K = \begin{pmatrix} 0 & -n & m \\ n & 0 & -l \\ -m & l & 0 \end{pmatrix} Let M=5I+11K+3K2M = 5I + \sqrt{11}K + 3K^2, where II is the 3×33 \times 3 identity matrix. Find the value of det⁡(M)\det(M).

24

Let S=(λ2−1)I3S = (\lambda^2 - 1)I_3 and KK be a 3×33 \times 3 skew-symmetric matrix with K12=K13=K23=1K_{12} = K_{13} = K_{23} = 1. Let A=S+KA = S + K and B=(λ2+λ−2λ2+∣λ∣−2λ−∣λ∣)B = \begin{pmatrix} \lambda^2 + \lambda - 2 \\ \lambda^2 + |\lambda| - 2 \\ \lambda - |\lambda| \end{pmatrix}. If S1S_1 is the set of all real values of λ\lambda for which the system of equations AX=BAX = B has infinitely many solutions, and S2S_2 is the set of all real values of λ\lambda for which the system has no solution, then find S1S_1 and S2S_2.

25

Let MM be a 50×5050 \times 50 matrix whose entries are given by Mi,j=∑k=1min⁡(i,j)(2k)!k!(ik)(jk)M_{i,j} = \sum_{k=1}^{\min(i,j)} \frac{(2k)!}{k!} \binom{i}{k} \binom{j}{k} for 1≤i,j≤501 \le i, j \le 50. Find the maximum integer EE such that 3E3^E divides det⁡(M)\det(M).

26

Let mm and nn be the order and degree, respectively, of the differential equation d3ydx3=(1+(d2ydx2)4)13\frac{d^3y}{dx^3} = \left( 1 + \left(\frac{d^2y}{dx^2}\right)^4 \right)^{\frac{1}{3}} Let AA be an m×mm \times m matrix such that Am=OA^m = O and Am−1≠OA^{m-1} \neq O, where OO is the null matrix. If M=(I+A)−n+(I−A)−nM = (I + A)^{-n} + (I - A)^{-n}, then the value of det⁡(nM)\det(n M) is

27

Let M(x)=(∫0xt22t2t+2x−t[t]dtx2sin⁡xecos⁡x∫0x(x−t)22t2t+2x−t[x−t]dt)M(x) = \begin{pmatrix} \int_{0}^{x} \frac{t^2 2^t}{2^t + 2^{x-t}} [t] dt & x^2 \sin x \\ e^{\cos x} & \int_{0}^{x} \frac{(x-t)^2 2^t}{2^t + 2^{x-t}} [x-t] dt \end{pmatrix}, where [⋅][ \cdot ] denotes the greatest integer function.

If F(x)=Tr(M(x))F(x) = \text{Tr}(M(x)), find the value of: lim⁡h→0+F(3+h)−F(3−h)h\lim_{h \to 0^+} \frac{F(3+h) - F(3-h)}{h}

28

Let A,B,A, B, and CC be 3×33 \times 3 real skew-symmetric matrices. It is given that Tr(A2)=−2\text{Tr}(A^2) = -2, Tr(B2)=−8\text{Tr}(B^2) = -8, Tr(C2)=−18\text{Tr}(C^2) = -18, and Tr(AB)=Tr(BC)=Tr(CA)=0\text{Tr}(AB) = \text{Tr}(BC) = \text{Tr}(CA) = 0. For any vector x⃗∈R3\vec{x} \in \mathbb{R}^3, the matrices act as cross products: Ax⃗=a⃗×x⃗A\vec{x} = \vec{a} \times \vec{x}, Bx⃗=b⃗×x⃗B\vec{x} = \vec{b} \times \vec{x}, and Cx⃗=c⃗×x⃗C\vec{x} = \vec{c} \times \vec{x}, where a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c} form a right-handed orthogonal system (i.e., [a⃗b⃗c⃗]>0[\vec{a} \vec{b} \vec{c}] > 0). If P=AB−BAP = AB - BA, Q=BC−CBQ = BC - CB, and R=CA−ACR = CA - AC, find the value of Tr(PQR)\text{Tr}(PQR).

29

Let Ak=(1k(k+1)2k−1−(2k−1)0)A_k = \begin{pmatrix} \frac{1}{k(k+1)} & 2k-1 \\ -(2k-1) & 0 \end{pmatrix} for k∈Nk \in \mathbb{N}. Let Mn=∑k=1nAkM_n = \sum_{k=1}^n A_k. If SS is the set of all natural numbers nn such that the matrix MnM_n has real eigenvalues, find the number of elements in SS.

30

Let P(x)=x3−4x2+3x+2P(x) = x^3 - 4x^2 + 3x + 2. Let r1,r2,r3r_1, r_2, r_3 be the roots of P(x)=0P(x)=0 such that r1r_1 and r2r_2 are irrational and r3r_3 is rational. Consider the system of linear equations in x,y,zx, y, z: x+y+z=1x + y + z = 1 r1x+r2y+r3z=2r_1 x + r_2 y + r_3 z = 2 r12x+r22y+[λ]z=3r_1^2 x + r_2^2 y + [\lambda] z = 3 where [⋅][\cdot] denotes the greatest integer function. Let SS be the set of all real values of λ\lambda for which the system has no solution. Then SS is equal to:

31

Let A(x)A(x) be a 3×33 \times 3 orthogonal matrix with continuously differentiable entries for all x∈Rx \in \mathbb{R}. Let M(x)M(x) be a 3×33 \times 3 matrix with differentiable entries satisfying the differential equation M′(x)=(∫xx2A(t)TA′(t)dt)M(x)M'(x) = \left( \int_{x}^{x^2} A(t)^T A'(t) dt \right) M(x) for all x∈Rx \in \mathbb{R}, with M(1)=A(1)M(1) = A(1). Find the value of ddx(det⁡(M(x)))\frac{d}{dx} \left( \det(M(x)) \right) at x=2024x = 2024.

32

Let A=(034005000)A = \begin{pmatrix} 0 & 3 & 4 \\ 0 & 0 & 5 \\ 0 & 0 & 0 \end{pmatrix} and II be the 3×33 \times 3 identity matrix. Consider the infinite series of matrices S=∑k=1∞(kI−A)−1A((k+1)I−A)−1S = \sum_{k=1}^{\infty} (k I - A)^{-1} A ((k+1)I - A)^{-1} Then the sum of all the elements of the matrix SS is:

33

Let SS be the set of all 3×33 \times 3 matrices with entries from {−1,1}\{-1, 1\}. A matrix AA is chosen at random from SS. Let VV be the volume of the parallelepiped formed by the column vectors of AA. Let EE be the event that the sum of the roots of the characteristic equation of AA is 33. Find the conditional probability P(V=0∣E)P(V = 0 \mid E).

34

Let A=(210010−113)A = \begin{pmatrix} 2 & 1 & 0 \\ 0 & 1 & 0 \\ -1 & 1 & 3 \end{pmatrix} and let λ1<λ2<λ3\lambda_1 < \lambda_2 < \lambda_3 be the roots of its characteristic equation. Consider two planes P1P_1 and P2P_2 given in parametric form as: P1:r⃗=i^+s(−λ1i^+λ2j^)+t(λ2j^+λ3k^)P_1: \vec{r} = \hat{i} + s(-\lambda_1 \hat{i} + \lambda_2 \hat{j}) + t(\lambda_2 \hat{j} + \lambda_3 \hat{k}) P2:r⃗=j^+p(λ3i^−λ1j^)+q(λ3j^+λ2λ3k^)P_2: \vec{r} = \hat{j} + p(\lambda_3 \hat{i} - \lambda_1 \hat{j}) + q(\lambda_3 \hat{j} + \lambda_2 \lambda_3 \hat{k}) where s,t,p,q∈Rs, t, p, q \in \mathbb{R}. The angle between the planes P1P_1 and P2P_2 is:

35

Let M(θ)=(sin⁡2θcos⁡2θsin⁡θcos⁡2θ−sin⁡2θcos⁡θsin⁡θcos⁡θsin⁡θ+cos⁡θ)M(\theta) = \begin{pmatrix} \sin 2\theta & \cos 2\theta & \sin \theta \\ \cos 2\theta & -\sin 2\theta & \cos \theta \\ \sin \theta & \cos \theta & \sin\theta + \cos\theta \end{pmatrix}. Let SS be the set of all θ∈[0,2π]\theta \in [0, 2\pi] such that the matrix M(θ)M(\theta) has at least one integer eigenvalue. Find the sum of all elements in SS.

36

Let Ak(θ)=12(e2ikθeikθ−eikθ1)A_k(\theta) = \frac{1}{\sqrt{2}} \begin{pmatrix} e^{2 i k \theta} & e^{i k \theta} \\ -e^{i k \theta} & 1 \end{pmatrix} for k∈Nk \in \mathbb{N} and θ∈[0,π]\theta \in [0, \pi]. Let M(θ)=A1(θ)A2(θ)…A10(θ)M(\theta) = A_1(\theta) A_2(\theta) \dots A_{10}(\theta). If det⁡(M(θ))+det⁡(M−1(θ))=3\det(M(\theta)) + \det(M^{-1}(\theta)) = \sqrt{3}, then the sum of all possible values of θ\theta is:

37

Let the system of linear equations x+y+z=3x + y + z = 3 2x+3y+z=62x + 3y + z = 6 3x+4y+αz=β3x + 4y + \alpha z = \beta have infinitely many solutions. Let SS be the set of all solutions (x,y,z)(x, y, z) of this system that also satisfy the inequalities x≥0x \ge 0, y≥0y \ge 0, and z≥0z \ge 0. Let MM be the maximum value of the objective function Z=2x+4y+5zZ = 2x + 4y + 5z on SS, LL be the square of the length of the line segment represented by SS, and NN be the number of points in SS where all coordinates are integers. Which of the following is NOT a correct value?

38

Let A(x)A(x) be a 3×33 \times 3 symmetric orthogonal matrix with continuous entries for all x∈Rx \in \mathbb{R}. The trace of A(x)A(x) is 11 and its first column is given by C1(x)=(cos⁡2x−2sin⁡2xcos⁡x−2sin⁡xcos⁡2x)C_1(x) = \begin{pmatrix} \cos 2x \\ -2\sin^2 x \cos x \\ -2\sin x \cos^2 x \end{pmatrix} If B=∫−π/2π/2A(x) dxB = \int_{-\pi/2}^{\pi/2} A(x) \, dx, then the value of 9πdet⁡(B)\frac{9}{\pi} \det(B) is

39

Let AA be a 3×33 \times 3 matrix with real entries such that AAT=IAA^T = I, A2=IA^2 = I, and Tr(A)=1\text{Tr}(A) = 1. Let r⃗1,r⃗2,r⃗3\vec{r}_1, \vec{r}_2, \vec{r}_3 be the vectors formed by the first, second, and third rows of AA respectively. Let u⃗\vec{u} be a vector along the internal angle bisector of r⃗1\vec{r}_1 and r⃗2\vec{r}_2 with magnitude 22. Let v⃗\vec{v} be a vector along the internal angle bisector of r⃗2\vec{r}_2 and r⃗3\vec{r}_3 with magnitude 2\sqrt{2}. If w⃗=u⃗×v⃗\vec{w} = \vec{u} \times \vec{v}, then the value of 2w⃗⋅(3r⃗1−4r⃗2+5r⃗3)\sqrt{2} \vec{w} \cdot (3\vec{r}_1 - 4\vec{r}_2 + 5\vec{r}_3) is:

40

Let SS be the set of all points (x,y)∈R2(x, y) \in \mathbb{R}^2 such that the matrix A=(sin⁡(sin⁡−1x)cos⁡(sin⁡−1x)sin⁡(sin⁡−1y)−cos⁡(sin⁡−1y))A = \begin{pmatrix} \sin(\sin^{-1} x) & \cos(\sin^{-1} x) \\ \sin(\sin^{-1} y) & -\cos(\sin^{-1} y) \end{pmatrix} is an orthogonal matrix. Let LL be the total arc length of the locus SS, and let k=Lπk = \frac{L}{\pi}. If M=(k1−1k)M = \begin{pmatrix} k & 1 \\ -1 & k \end{pmatrix}, find the value of det⁡(M3−2M2+2M)\det(M^3 - 2M^2 + 2M).

41

Let A=(x111x−2111x−2)A = \begin{pmatrix} x & 1 & 1 \\ 1 & x-2 & 1 \\ 1 & 1 & x-2 \end{pmatrix} and B=(x111x131x−2)B = \begin{pmatrix} x & 1 & 1 \\ 1 & x & 1 \\ 3 & 1 & x-2 \end{pmatrix}. Let f(x)=∣A∣∣B∣f(x) = \frac{|A|}{|B|}. A sequence of matrices MnM_n is constructed such that ∣Mn∣−∣Mn−1∣=(f(x))n|M_n| - |M_{n-1}| = (f(x))^n for n≥2n \ge 2. If the sequence of determinants ∣Mn∣|M_n| converges to a finite limit as n→∞n \to \infty, find the sum of all possible integers x∈[−5,5]x \in [-5, 5].

42

Let a⃗=i^+sin⁡θj^+cos⁡θk^\vec{a} = \hat{i} + \sin \theta \hat{j} + \cos \theta \hat{k}, b⃗=i^+sin⁡2θj^+cos⁡2θk^\vec{b} = \hat{i} + \sin 2\theta \hat{j} + \cos 2\theta \hat{k}, and c⃗=i^+sin⁡3θj^+cos⁡3θk^\vec{c} = \hat{i} + \sin 3\theta \hat{j} + \cos 3\theta \hat{k}. Let MM be the 3×33 \times 3 matrix whose rows are the components of a⃗,b⃗,\vec{a}, \vec{b}, and c⃗\vec{c}. Let SS be the set of all θ∈[0,2π]\theta \in [0, 2\pi] such that the points with position vectors a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c} and i^+j^+k^\hat{i} + \hat{j} + \hat{k} are coplanar, and the matrix MM is invertible. What is the minimum volume of the parallelepiped formed by the row vectors of M−1M^{-1} for θ∈S\theta \in S?

43

Let A(x)A(x) be a 3×33 \times 3 matrix defined as: A(x)=(sgn(sin⁡x+cos⁡2x)ln⁡(1+x2)esin⁡x−ln⁡(1+x2)sgn(sin⁡x+cos⁡2x)1+x4−esin⁡x−1+x4sgn(sin⁡x+cos⁡2x))A(x) = \begin{pmatrix} \text{sgn}(\sin x + \cos 2x) & \ln(1+x^2) & e^{\sin x} \\ -\ln(1+x^2) & \text{sgn}(\sin x + \cos 2x) & \sqrt{1+x^4} \\ -e^{\sin x} & -\sqrt{1+x^4} & \text{sgn}(\sin x + \cos 2x) \end{pmatrix} where sgn(⋅)\text{sgn}(\cdot) denotes the signum function. Let SS be the set of all x∈[0,2π]x \in [0, 2\pi] such that the linear transformation Tx:R3→R3T_x: \mathbb{R}^3 \to \mathbb{R}^3 defined by Tx(v)=A(x)vT_x(v) = A(x)v is not an injective mapping. Find the sum of all elements in SS.

44

The mean and variance of 1010 observations are calculated as 77 and 1515 respectively. Later, it is discovered that one observation was incorrectly recorded as 1212 instead of the correct value 22. Let the correct mean and correct variance of these observations be μ\mu and σ2\sigma^2 respectively. Consider a 3×33 \times 3 matrix MM with real entries such that Tr(M)=μ\text{Tr}(M) = \mu, Tr(M2)=σ2\text{Tr}(M^2) = \sigma^2, and Tr(M3)=μ2\text{Tr}(M^3) = \mu^2. Find the value of det⁡(M)+Tr(adj(M))\det(M) + \text{Tr}(\text{adj}(M)).

45

Let A=(0100012k3−k4)A = \begin{pmatrix} 0 & 1 & 0 \\ 0 & 0 & 1 \\ 2k & 3-k & 4 \end{pmatrix} for some real parameter kk. Let B=A2−4A+(k−4)IB = A^2 - 4A + (k-4)I, where II is the 3×33 \times 3 identity matrix. If SS is the set of all real values of kk for which BB is a singular matrix, find the product of all elements in SS.

46

Let x(t)=∫0tsin⁡uudux(t) = \int_0^t \frac{\sin u}{u} du and y(t)=∫0tsin⁡2uu2duy(t) = \int_0^t \frac{\sin^2 u}{u^2} du for t∈(−π,π)∖{0}t \in (-\pi, \pi) \setminus \{0\}. Let M(t)=(dydx1td2ydx2+1t∫0teu2du1td2ydx2−1t∫0teu2dud3ydx3)M(t) = \begin{pmatrix} \frac{dy}{dx} & \frac{1}{t}\frac{d^2y}{dx^2} + \frac{1}{t}\int_0^t e^{u^2} du \\ \frac{1}{t}\frac{d^2y}{dx^2} - \frac{1}{t}\int_0^t e^{u^2} du & \frac{d^3y}{dx^3} \end{pmatrix}. For t≠0t \neq 0, M(t)M(t) can be uniquely expressed as S(t)+K(t)S(t) + K(t), where S(t)S(t) is a symmetric matrix and K(t)K(t) is a skew-symmetric matrix. If A=lim⁡t→0det⁡(S(t))A = \lim_{t \to 0} \det(S(t)) and B=lim⁡t→0det⁡(K(t))B = \lim_{t \to 0} \det(K(t)), find the value of 18A+B18A + B.

47

Let a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c} be three non-coplanar vectors such that their scalar triple product is VV. Let AA be a 3×33 \times 3 matrix whose columns are the components of a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c} respectively. Let the inverse of matrix AA be denoted by A−1=(p1p2p3q1q2q3r1r2r3)A^{-1} = \begin{pmatrix} p_1 & p_2 & p_3 \\ q_1 & q_2 & q_3 \\ r_1 & r_2 & r_3 \end{pmatrix}. If Π\Pi is a plane given by the equation p1x+p2y+p3z+1=0p_1 x + p_2 y + p_3 z + 1 = 0, then the position vector of the image of the origin with respect to the plane Π\Pi is:

48

Let A(x)=(ex2sin⁡(1/x)π0e−x2sin⁡(1/x))A(x) = \begin{pmatrix} e^{x^2 \sin(1/x)} & \pi \\ 0 & e^{-x^2 \sin(1/x)} \end{pmatrix} for x≠0x \neq 0. Let n∈Nn \in \mathbb{N} be the solution to the equation: lim⁡x→0∑k=1nTr(A(x)k)−2nx4sin⁡2(1/x)=385\lim_{x \to 0} \frac{\sum_{k=1}^n \text{Tr}(A(x)^k) - 2n}{x^4 \sin^2(1/x)} = 385 If B=(1110)B = \begin{pmatrix} 1 & 1 \\ 1 & 0 \end{pmatrix}, find the value of Tr(Bn)\text{Tr}(B^n).

49

Let RR be the feasible region in the xyxy-plane defined by the inequalities: x−3y≤3x - 3y \le 3 x−y≥5x - y \ge 5 Let SS be the set of all real values of α\alpha such that the matrix A=(xy1α)A = \begin{pmatrix} x & y \\ 1 & \alpha \end{pmatrix} is singular for at least one point (x,y)∈R(x,y) \in R. If aa and bb are the infimum and supremum of the set SS respectively, let M=(6ab−b6a)M = \begin{pmatrix} 6a & b \\ -b & 6a \end{pmatrix} Find the value of det⁡(M4)−Tr(M4)\det(M^4) - \text{Tr}(M^4).

50

Consider the following system of linear equations: (2cos⁡θ)x+y+z=1(2\cos\theta) x + y + z = 1 x+(2cos⁡θ)y+z=2cos⁡θx + (2\cos\theta) y + z = 2\cos\theta x+y+(2cos⁡θ)z=4cos⁡2θx + y + (2\cos\theta) z = 4\cos^2\theta Let SS be the set of all values of θ∈[0,3π]\theta \in [0, 3\pi] for which the system has infinitely many solutions, and TT be the set of all values of θ∈[0,3π]\theta \in [0, 3\pi] for which the system has no solution. Find the value of ∑θ∈Sθ+∑θ∈Tθ\sum_{\theta \in S} \theta + \sum_{\theta \in T} \theta.

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