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.
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.
Let be a twice differentiable, strictly decreasing function on . For all , the rows of the matrix are linearly dependent. If and are the order and degree of the differential equation satisfied by respectively, then find the value of .
Let be three non-coplanar vectors representing the position vectors of points with respect to an origin . A new origin is chosen with position vector such that . Let be the position vectors of with respect to . A matrix is formed such that its rows are the scalar components of the vectors respectively, where: If is a singular matrix for all such choices of , then the value of is:
Let , where denotes the signum function. If is the set of all real values of for which is an idempotent matrix, then the value of is equal to
A variable plane has intercepts and on the and axes respectively, where , , and for a parameter . Consider the system of planes given by the equations: If the coefficient matrix of this system is non-singular for all , what is the complete set of values for the real constant ?
Let . Consider the system of linear equations given by , where is the identity matrix and . If this system has infinitely many solutions, which of the following conditions must be true?
Let be a matrix whose rows are given by the vectors . It is given that is an involutory matrix and are unit vectors. If and , then the maximum possible value of is:
Let . A curve passes through the point . The slope of the tangent to at any point is given by . Let be the set of all -coordinates where attains a local minimum, and be the set of all -coordinates where attains a local maximum. Find the value of . (If a set is empty, its sum is taken as ).
Let be the set of all real numbers for which the quadratic equations and have at least one common real root. Let be a matrix with real entries such that its trace is and its determinant is . If is chosen such that the trace of is minimized, which of the following is equal to ?
Let and . Let be a matrix-valued function satisfying the differential equation with the initial condition . Find the sum of the elements of the matrix .
Let , where denotes the greatest integer less than or equal to , and denotes the fractional part of . Let be the matrix obtained by interchanging the first and second rows of the identity matrix . If and is the scalar triple product of the vectors formed by the first, second, and third rows of respectively, find the value of .
Let be a matrix with complex entries satisfying and , where is the conjugate transpose of . Let be a matrix given by Define and , where is the transpose of . If , find the value of
Let and be matrices defined for as follows: If , then the value of is:
Let be a geometric progression of real numbers with first term and a non-zero common ratio . For each integer , define the matrix as: If satisfies the inequality , find the sum of all possible integer values of in the interval .
Let . For any , a matrix is defined as: where denotes the greatest integer less than or equal to . Let be the volume of the parallelepiped whose coterminous edges are the column vectors of the matrix . Find the maximum possible value of .
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 denotes the greatest integer less than or equal to . Let . Define the sets and in the interval 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 is the maximum value of on , find the value of , where denotes the number of elements in set .
Let such that the following matrix equation holds: Find the value of .
Let Evaluate
Let and be two unit vectors in such that the angle between them is . Let and be the lines passing through the origin parallel to and respectively. Let be a unit vector such that the angle between the line (parallel to ) and is , and the angle between and is also . If the algebraic projection of on is positive and the algebraic projection of on is negative, let be the matrix whose rows are the components of and in a standard orthonormal basis. The value of is:
Let be the particular solution to the exact differential equation satisfying . Let the function be defined as Define the matrix as The product of all real values of for which the matrix is singular is:
Let the involutory matrix . A non-zero complex vector satisfies the transformation equation . If the moduli of its components are given by , , and , find the value of .
Let for . Consider the matrix defined for all . Let be the set of all such that is a singular matrix. If is non-empty, let . If is empty, let . Find the value of .
Let be a matrix, where is the identity matrix and is a skew-symmetric matrix with real entries. It is given that , , , , , and for some . If , find the value of .
Let be the direction cosines of a line in three-dimensional space. Define the matrix as Let , where is the identity matrix. Find the value of .
Let and be a skew-symmetric matrix with . Let and . If is the set of all real values of for which the system of equations has infinitely many solutions, and is the set of all real values of for which the system has no solution, then find and .
Let be a matrix whose entries are given by for . Find the maximum integer such that divides .
Let and be the order and degree, respectively, of the differential equation Let be an matrix such that and , where is the null matrix. If , then the value of is
Let , where denotes the greatest integer function.
If , find the value of:
Let and be real skew-symmetric matrices. It is given that , , , and . For any vector , the matrices act as cross products: , , and , where form a right-handed orthogonal system (i.e., ). If , , and , find the value of .
Let for . Let . If is the set of all natural numbers such that the matrix has real eigenvalues, find the number of elements in .
Let . Let be the roots of such that and are irrational and is rational. Consider the system of linear equations in : where denotes the greatest integer function. Let be the set of all real values of for which the system has no solution. Then is equal to:
Let be a orthogonal matrix with continuously differentiable entries for all . Let be a matrix with differentiable entries satisfying the differential equation for all , with . Find the value of at .
Let and be the identity matrix. Consider the infinite series of matrices Then the sum of all the elements of the matrix is:
Let be the set of all matrices with entries from . A matrix is chosen at random from . Let be the volume of the parallelepiped formed by the column vectors of . Let be the event that the sum of the roots of the characteristic equation of is . Find the conditional probability .
Let and let be the roots of its characteristic equation. Consider two planes and given in parametric form as: where . The angle between the planes and is:
Let . Let be the set of all such that the matrix has at least one integer eigenvalue. Find the sum of all elements in .
Let for and . Let . If , then the sum of all possible values of is:
Let the system of linear equations have infinitely many solutions. Let be the set of all solutions of this system that also satisfy the inequalities , , and . Let be the maximum value of the objective function on , be the square of the length of the line segment represented by , and be the number of points in where all coordinates are integers. Which of the following is NOT a correct value?
Let be a symmetric orthogonal matrix with continuous entries for all . The trace of is and its first column is given by If , then the value of is
Let be a matrix with real entries such that , , and . Let be the vectors formed by the first, second, and third rows of respectively. Let be a vector along the internal angle bisector of and with magnitude . Let be a vector along the internal angle bisector of and with magnitude . If , then the value of is:
Let be the set of all points such that the matrix is an orthogonal matrix. Let be the total arc length of the locus , and let . If , find the value of .
Let and . Let . A sequence of matrices is constructed such that for . If the sequence of determinants converges to a finite limit as , find the sum of all possible integers .
Let , , and . Let be the matrix whose rows are the components of and . Let be the set of all such that the points with position vectors and are coplanar, and the matrix is invertible. What is the minimum volume of the parallelepiped formed by the row vectors of for ?
Let be a matrix defined as: where denotes the signum function. Let be the set of all such that the linear transformation defined by is not an injective mapping. Find the sum of all elements in .
The mean and variance of observations are calculated as and respectively. Later, it is discovered that one observation was incorrectly recorded as instead of the correct value . Let the correct mean and correct variance of these observations be and respectively. Consider a matrix with real entries such that , , and . Find the value of .
Let for some real parameter . Let , where is the identity matrix. If is the set of all real values of for which is a singular matrix, find the product of all elements in .
Let and for . Let . For , can be uniquely expressed as , where is a symmetric matrix and is a skew-symmetric matrix. If and , find the value of .
Let be three non-coplanar vectors such that their scalar triple product is . Let be a matrix whose columns are the components of respectively. Let the inverse of matrix be denoted by . If is a plane given by the equation , then the position vector of the image of the origin with respect to the plane is:
Let for . Let be the solution to the equation: If , find the value of .
Let be the feasible region in the -plane defined by the inequalities: Let be the set of all real values of such that the matrix is singular for at least one point . If and are the infimum and supremum of the set respectively, let Find the value of .
Consider the following system of linear equations: Let be the set of all values of for which the system has infinitely many solutions, and be the set of all values of for which the system has no solution. Find the value of .
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