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Mathematics • Class 12

Determinants - Class 12

Master Determinants & Linear 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 explores determinants, their properties, and applications. It covers solving systems of linear equations using Cramer's rule, finding areas of triangles, and applying determinants in matrices and linear transformations.

Why This Chapter Matters

  • Determinants are crucial in solving mathematical problems involving linear equations, geometry, and transformations. They are widely used in various fields like engineering, physics, and computer science.

Real-Life Applications

  • Solving systems of linear equations in engineering and physics using Cramer's rule.
  • Calculating areas of triangles in coordinate geometry using determinants.
  • Modeling and analyzing linear transformations in computer graphics and data science.

Skills You Will Learn

  • Understanding properties of determinants and their applications.
  • Using determinants to solve systems of linear equations.
  • Applying determinants in geometry and linear transformations.

Core Concepts to Master

Minors and Cofactors Sign Convention

Mistaking (-1)^(i+j) sign application, especially for odd-sum indices, leads to catastrophic sign errors in adjoint calculation.

Determinant Scaling Property

Multiplying a matrix by scalar 'k' scales determinant by k^n (where n is the order). Ignoring order is fatal.

Singular vs. Non-Singular Threshold

Det(A)=0 defines singular matrices; inversibility is strictly tied to non-zero determinants. Crucial for system existence conditions.

Properties of Transpose Determinant

Det(A) = Det(A^T). Students often waste time expanding transposed forms unnecessarily instead of exploiting symmetry.

Row/Column Exchange Parity

Every swap of two rows or columns flips the determinant sign. Chain swaps require careful tracking of (-1)^k.

Linear Dependency of Rows

If any two rows/columns are proportional or identical, the determinant is zero. Often hidden in algebraic expressions.

Determinant Product Rule

Det(AB) = Det(A)Det(B). Application to powers Det(A^n) = (Det A)^n is a frequent source of calculation speed-ups.

Elementary Row Operation Invariance

Ri -> Ri + kRj does not change the determinant. Essential for creating zeros to simplify expansion.

Adjoint-Determinant Relationship

Det(adj A) = (Det A)^(n-1). Crucial for questions involving matrix inversion and adjoint properties.

Cramer's Rule Constraints

Fails when D=0. Differentiating between 'no solution' and 'infinite solutions' using Dx, Dy, Dz requires precision.

Skew-Symmetric Determinant

The determinant of an odd-order skew-symmetric matrix is always zero. Use this to instantly nullify complex expressions.

Triangular/Diagonal Matrix Shortcut

Determinant is simply the product of principal diagonal elements. Do not expand; look for zero-clusters.

Determinant as Geometric Area/Volume

Relating determinant magnitude to triangle area or tetrahedron volume; remember to take absolute values.

Factor Theorem in Determinants

Substituting variables to force rows to be identical reveals factors. Identifying these bypasses massive polynomial expansion.

Differentiation of Determinants

Differentiate one row at a time while keeping others constant. Sum these to get the total derivative.

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.

Minors and Cofactors Sign Convention
Coefficient of x^r in Expansion
Minors and Cofactors Sign Convention
Octant Sign Convention
Greatest Integer Function
Minors and Cofactors Sign Convention
Scalar Triple Product Volume Logic
Signum Function
Modulus Function
Minors and Cofactors Sign Convention
Symmetric and Skew-Symmetric Decomposition
Determinant Scaling Property
Determinant Scaling Property
Adjoint-Determinant Relation
Parametric form pitfalls
Determinant Scaling Property
Euler's Form and Rotations
The Modulus Trap
Determinant Scaling Property
Exponent of Prime in n!
Denominator Restriction
Determinant Scaling Property
Geometry Constraint Modeling
First Derivative Test Trap
Determinant Scaling Property
Quadratic Roots in Sequences
Extraneous Solution Rejection
Singular vs. Non-Singular Threshold
Condition of Collinearity
Sign Flipping Rule
Singular vs. Non-Singular Threshold
Differentiation of Determinants
Leibniz Rule for Differentiation under Integral
Singular vs. Non-Singular Threshold
Insertion of Means
Arithmetic-Geometric Progression (AGP)
Singular vs. Non-Singular Threshold
Orthogonal Matrix Conditions
Nilpotent Matrix Logic
Singular vs. Non-Singular Threshold
Scalar Triple Product Volume Logic
Symmetric vs Non-symmetric form
Properties of Transpose Determinant
Determinant Product Rule
Singular vs. Non-Singular Threshold
Properties of Transpose Determinant
Matrix Trace Properties
Even Multiplicity Roots
Properties of Transpose Determinant
Orthogonal Matrix Conditions
Algebraic Manipulation of i
Properties of Transpose Determinant
Symmetric and Skew-Symmetric Decomposition
Second Derivative Test Limitations
Properties of Transpose Determinant
Vector Triple Product Expansion
Coordinate Axis Projections
Row/Column Exchange Parity
Adjoint-Determinant Relation
Singular vs Non-Singular Matrices
Row/Column Exchange Parity
Angle between two lines
Collinearity vs Coplanarity
Row/Column Exchange Parity
Coefficient of x^r in Expansion
Integral Part and Fractional Part
Row/Column Exchange Parity
Even and Odd Function Symmetry
Greatest Integer Function Traps
Row/Column Exchange Parity
Vector Product Anti-Commutativity
Symmetry vs. Antisymmetry
Linear Dependency of Rows
De Moivre’s Theorem Applications
Euler's Form and Rotations
Linear Dependency of Rows
Scalar Triple Product Volume Logic
Unit Vector Normalization
Square Root and Modulus Logic
Linear Dependency of Rows
System of Linear Equations (Cramer/Inverse)
Redundant Constraints
Determinant Product Rule
Adjoint-Determinant Relation
Linear Independence vs Dependence
Integral Part and Fractional Part
Determinant Product Rule
Area of Triangle via Determinants
Modulus Inequality Logic
Signum Function Discontinuity
Determinant Product Rule
Elementary Row Operation Invariance
Wavy Curve (Method of Intervals)
Determinant Product Rule
Lagrange Identity
Vector Product Anti-Commutativity
Elementary Row Operation Invariance
Cramer's Rule Constraints
The Quadrant Adjustment Logic
Rational Function Asymptotes
Elementary Row Operation Invariance
Exact Differential Recognition
The L'Hôpital's Rule Misuse
L'Hopital's Pitfall
Elementary Row Operation Invariance
Geometric Interpretation of Cross Product
Tangent/Normal Slope Interplay
Slope Sensitivity
Elementary Row Operation Invariance
Term Independent of x
Complementary Counting
Mutually Exclusive vs Independent
Adjoint-Determinant Relationship
Characteristic Equation
Conjugate Root Theorem
Adjoint-Determinant Relationship
Skew-Symmetric Determinant
Infinite Limit Behavior
Adjoint-Determinant Relationship
Vector Triple Product Expansion
Greatest Integer Function (GIF)
Cramer's Rule Constraints
Indeterminate Forms
Non-Differentiable Extrema
Cramer's Rule Constraints
Line-Plane intersection logic
Greatest Integer Function (GIF)
Modulus Sign Dependency
Cramer's Rule Constraints
Objective Function Gradient
Non-Negativity Restriction
Cramer's Rule Constraints
Selection of GP Terms
Algebraic Manipulation of i
Skew-Symmetric Determinant
Concurrent Lines Condition
Shifting Origin
Point-Line Relative Position
Skew-Symmetric Determinant
Determinant Product Rule
Even and Odd Function Symmetry
Substitution (Change of Variable)
Skew-Symmetric Determinant
Orthogonal Matrix Conditions
The 1^∞ Form Shortcut
Sum of Powers of Natural Numbers
Skew-Symmetric Determinant
Properties of Binomial Coefficients
Integral Part and Fractional Part
Row/Column Exchange Parity
Skew-Symmetric Determinant
Scalar Triple Product Volume Logic
Algebraic Manipulation of i
De Moivre’s Theorem Applications
Triangular/Diagonal Matrix Shortcut
Determinant Product Rule
De Moivre’s Theorem Applications
Triangular/Diagonal Matrix Shortcut
Method of Differences
Modulus Sign Dependency
Triangular/Diagonal Matrix Shortcut
Parametric form pitfalls
Orthogonal projection of a line
Triangular/Diagonal Matrix Shortcut
Scalar Triple Product Volume Logic
Greatest Integer Function Traps
Triangular/Diagonal Matrix Shortcut
Singular vs. Non-Singular Threshold
Bijectivity and Inverse
Composite Injectivity/Surjectivity
Determinant as Geometric Area/Volume
Adjoint-Determinant Relation
Singular vs. Non-Singular Threshold
Determinant as Geometric Area/Volume
Coplanarity Condition
Concurrent Lines Condition
Cross Multiplication Trap
Determinant as Geometric Area/Volume
Maximum/Minimum of Quadratic Expressions
Boundary Value Theorem
Determinant as Geometric Area/Volume
Reciprocal System of Vectors
Shortest distance between skew lines
Modulus Function Symmetry
Determinant as Geometric Area/Volume
Rectangular Hyperbola
Axis of Integration Selection
Factor Theorem in Determinants
Adjoint-Determinant Relation
Step Function Discontinuities
Factor Theorem in Determinants
Arithmetic-Geometric Progression (AGP)
L'Hopital's Pitfall
Factor Theorem in Determinants
Conditional Identity Constraints
The Quadrant Adjustment Logic
Factor Theorem in Determinants
Geometric Interpretation of Cross Product
Geometry of Complex Inequalities
Factor Theorem in Determinants
Vector Triple Product Expansion
Modulus Function Symmetry
Integral Part and Fractional Part
Differentiation of Determinants
Matrix Multiplication Non-Commutativity
System of Inequalities
Differentiation of Determinants
Mean Value Theorem Applicability
Modulus Function Breakdown

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 A=(211121112)A = \begin{pmatrix} 2 & 1 & 1 \\ 1 & 2 & 1 \\ 1 & 1 & 2 \end{pmatrix}. Let CijC_{ij} and MijM_{ij} denote the cofactor and minor of the element aija_{ij} of matrix AA, respectively. Define vectors u⃗i=∑j=13(Cij+sgn(x2−4x+3)Mij)e^j\vec{u}_i = \sum_{j=1}^3 \left( C_{ij} + \text{sgn}(x^2 - 4x + 3) M_{ij} \right) \hat{e}_j for i=1,2,3i = 1, 2, 3, where e^1,e^2,e^3\hat{e}_1, \hat{e}_2, \hat{e}_3 are the standard orthogonal unit vectors. If V(x)V(x) is the volume of the parallelepiped formed by the vectors u⃗1,u⃗2,u⃗3\vec{u}_1, \vec{u}_2, \vec{u}_3, find the value of ∫03V(x)dx\int_{0}^{3} V(x) dx.

2

Let A(t)=[111[t−1][t][t+1]23−1]A(t) = \begin{bmatrix} 1 & 1 & 1 \\ [t-1] & [t] & [t+1] \\ 2 & 3 & -1 \end{bmatrix}, where [x][x] denotes the greatest integer less than or equal to xx. Let C11(t),C12(t),C13(t)C_{11}(t), C_{12}(t), C_{13}(t) be the cofactors of the elements of the first row of A(t)A(t). A point P(t)P(t) in 3D space is defined by the coordinates (C11(t),C12(t),C13(t))(C_{11}(t), C_{12}(t), C_{13}(t)). Consider another matrix B(t)=[C11(t)C12(t)C13(t)2−1314−2]B(t) = \begin{bmatrix} C_{11}(t) & C_{12}(t) & C_{13}(t) \\ 2 & -1 & 3 \\ 1 & 4 & -2 \end{bmatrix}. Let M11,M12,M13M_{11}, M_{12}, M_{13} be the minors corresponding to the elements C11(t),C12(t),C13(t)C_{11}(t), C_{12}(t), C_{13}(t) respectively in B(t)B(t). Define a modified determinant function Δ∗(t)\Delta^*(t) based on the octant location of P(t)P(t) as: Δ∗(t)=sgn⁡(C11(t))M11+sgn⁡(C12(t))M12+sgn⁡(C13(t))M13\Delta^*(t) = \operatorname{sgn}(C_{11}(t)) M_{11} + \operatorname{sgn}(C_{12}(t)) M_{12} + \operatorname{sgn}(C_{13}(t)) M_{13} where sgn⁡(⋅)\operatorname{sgn}(\cdot) is the signum function. Find the value of lim⁡t→0+Δ∗(t)−lim⁡t→0−Δ∗(t)\lim_{t \to 0^+} \Delta^*(t) - \lim_{t \to 0^-} \Delta^*(t).

3

Let A(θ)=(1+sin⁡2θcos⁡2θsin⁡2θsin⁡2θ1+cos⁡2θsin⁡2θsin⁡2θcos⁡2θ1+sin⁡2θ)A(\theta) = \begin{pmatrix} 1+\sin^2\theta & \cos^2\theta & \sin 2\theta \\ \sin^2\theta & 1+\cos^2\theta & \sin 2\theta \\ \sin^2\theta & \cos^2\theta & 1+\sin 2\theta \end{pmatrix} and f(θ)=∣adj(2A(θ))∣f(\theta) = |\text{adj}(2 A(\theta))|. The maximum value of f(θ)f(\theta) for θ∈R\theta \in \mathbb{R} is

4

Let f(n)f(n) and g(n)g(n) denote the exponent of the highest power of 22 and 33 dividing n!n!, respectively. Let SS be the set of all integers n∈[3,15]n \in [3, 15] for which the matrix MnM_n is singular, where Mn=(1n−51n−51n−5f(n−2)n−7f(n−1)n−7f(n)n−7g(n−2)g(n−1)g(n))M_n = \begin{pmatrix} \frac{1}{n-5} & \frac{1}{n-5} & \frac{1}{n-5} \\ \frac{f(n-2)}{n-7} & \frac{f(n-1)}{n-7} & \frac{f(n)}{n-7} \\ g(n-2) & g(n-1) & g(n) \end{pmatrix} Find the sum of all elements in SS.

5

Let a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c} be three non-coplanar vectors in R3\mathbb{R}^3. Three new vectors are defined as: u⃗=a⃗+2b⃗−c⃗\vec{u} = \vec{a} + 2\vec{b} - \vec{c} v⃗=3a⃗+λb⃗+c⃗\vec{v} = 3\vec{a} + \lambda\vec{b} + \vec{c} w⃗=a⃗+4b⃗+λc⃗\vec{w} = \vec{a} + 4\vec{b} + \lambda\vec{c} where λ∈R\lambda \in \mathbb{R}. A 3×33 \times 3 matrix MM is constructed such that its elements are given by: M=(u⃗⋅a⃗u⃗⋅b⃗u⃗⋅c⃗v⃗⋅a⃗v⃗⋅b⃗v⃗⋅c⃗w⃗⋅a⃗w⃗⋅b⃗w⃗⋅c⃗)M = \begin{pmatrix} \vec{u}\cdot\vec{a} & \vec{u}\cdot\vec{b} & \vec{u}\cdot\vec{c} \\ \vec{v}\cdot\vec{a} & \vec{v}\cdot\vec{b} & \vec{v}\cdot\vec{c} \\ \vec{w}\cdot\vec{a} & \vec{w}\cdot\vec{b} & \vec{w}\cdot\vec{c} \end{pmatrix} If MM is a singular matrix, what is the absolute difference between the possible values of λ\lambda?

6

Let SS be the set of all real values of xx for which the points A(1,∣x∣)A(1, |x|), B(2,x)B(2, x), and C(3,1)C(3, 1) form a non-degenerate triangle whose area is at most 11. Then SS is equal to:

7

Let SS be the set of all pairs of 3×33 \times 3 real matrices (A,B)(A, B) such that AA is an orthogonal matrix, BB is a nilpotent matrix of index 33 (i.e., B3=OB^3 = O and B2≠OB^2 \neq O), and A+B=IA + B = I, where II is the 3×33 \times 3 identity matrix and OO is the null matrix. The number of elements in the set SS is

8

Let AA be a 3×33 \times 3 matrix with complex entries such that AA†=IA A^\dagger = I and det⁡(A)=i\det(A) = i, where A†A^\dagger is the conjugate transpose of AA. Let B=(11+ix1−i−1ix−i1)B = \begin{pmatrix} 1 & 1+i & x \\ 1-i & -1 & i \\ x & -i & 1 \end{pmatrix} where xx is a real number. If det⁡(ABAT)=−3\det(A B A^T) = -3, then the product of all possible real values of xx is:

9

Let A=(x111x1111)A = \begin{pmatrix} x & 1 & 1 \\ 1 & x & 1 \\ 1 & 1 & 1 \end{pmatrix} and BB be a 3×33 \times 3 real matrix such that det⁡(B)=2\det(B) = 2. If x∈Rx \in \mathbb{R} satisfies the equation det⁡(ATBA)=det⁡(det⁡(A)B−1)\det(A^T B A) = \det(\det(A) B^{-1}), then the sum of all distinct real values of xx is:

10

Let Δ(x)=∣cos⁡xx21x3xx[x][−x][x]+[−x]∣\Delta(x) = \begin{vmatrix} \cos x & x^2 & 1 \\ x^3 & x & x \\ [x] & [-x] & [x]+[-x] \end{vmatrix}, where [t][t] denotes the greatest integer less than or equal to tt. Evaluate the integral I=∫−π/2π/2Δ(x) dxI = \int_{-\pi/2}^{\pi/2} \Delta(x) \, dx

11

For any integer m≥1m \ge 1, let Am,1,Am,2,…,Am,mA_{m,1}, A_{m,2}, \dots, A_{m,m} be mm arithmetic means inserted between −1-1 and 2m+12m+1. Let Sm=∑k=1mAm,kS_m = \sum_{k=1}^m A_{m,k} and fm(r)=∑k=1mAm,krk−1f_m(r) = \sum_{k=1}^m A_{m,k} r^{k-1}. Let dmd_m be the common difference of the arithmetic progression formed by inserting mm arithmetic means between 00 and m+1m+1. Define the matrix Mn(r)=(fn(r)fn+1(r)fn+2(r)SnSn+1Sn+2dndn+1dn+2)M_n(r) = \begin{pmatrix} f_n(r) & f_{n+1}(r) & f_{n+2}(r) \\ S_n & S_{n+1} & S_{n+2} \\ d_n & d_{n+1} & d_{n+2} \end{pmatrix} If lim⁡r→1det⁡(Mn(r))1−r=399\lim_{r \to 1} \frac{\det(M_n(r))}{1-r} = 399, then the value of nn is:

12

Let A(x)=(1sin⁡xx+cos⁡x−sin⁡x1x2+exx−cos⁡xx2−ex4x4−8x3+7x2+5)A(x) = \begin{pmatrix} 1 & \sin x & x + \cos x \\ -\sin x & 1 & x^2 + e^x \\ x - \cos x & x^2 - e^x & 4x^4 - 8x^3 + 7x^2 + 5 \end{pmatrix}.

Define f(x)=det⁡(A(x)+AT(x)2)+det⁡(A(x)−AT(x)2)f(x) = \det\left(\frac{A(x) + A^T(x)}{2}\right) + \det\left(\frac{A(x) - A^T(x)}{2}\right).

If SS is the sum of all local extreme values of the function f(x)f(x), then the value of SS is:

13

Let a⃗=(x2−5)i^+xj^+k^\vec{a} = \left(\sqrt{x^2} - 5\right)\hat{i} + x\hat{j} + \hat{k}, b⃗=xi^+(x2−5)j^+k^\vec{b} = x\hat{i} + \left(\sqrt{x^2} - 5\right)\hat{j} + \hat{k}, and c⃗=2i^+j^+k^\vec{c} = 2\hat{i} + \hat{j} + \hat{k}. Let SS be the set of all real values of xx for which the vectors a⃗,b⃗\vec{a}, \vec{b}, and c⃗\vec{c} are coplanar. Find the value of 4∑x∈Sx24 \sum_{x \in S} x^2.

14

Consider the system of linear equations: x+y+z=λx + y + z = \lambda x+2y+3z=μx + 2y + 3z = \mu 14x+22y+30z=λ2+μ2−1114x + 22y + 30z = \lambda^2 + \mu^2 - 11 If the system has infinitely many solutions, then the maximum value of 3λ+4μ3\lambda + 4\mu is:

15

Let ω=ei2π5\omega = e^{i \frac{2\pi}{5}}. Define a 4×44 \times 4 matrix AA with entries ajk=(ωj+ω−k)3a_{jk} = (\omega^j + \omega^{-k})^3 for 1≤j,k≤41 \le j, k \le 4, and a 5×55 \times 5 matrix BB with entries bjk=(ωj+ω−k)3b_{jk} = (\omega^j + \omega^{-k})^3 for 1≤j,k≤51 \le j, k \le 5. Find the value of det⁡(A)+det⁡(B)125\frac{\det(A) + \det(B)}{125}.

16

Let A=(xy1101011)A = \begin{pmatrix} x & y & 1 \\ 1 & 0 & 1 \\ 0 & 1 & 1 \end{pmatrix} and B=(xy1−101011)B = \begin{pmatrix} x & y & 1 \\ -1 & 0 & 1 \\ 0 & 1 & 1 \end{pmatrix}. Let M=ABTM = A B^T. A point P(x,y)P(x,y) moves in the xyxy-plane such that it satisfies the following conditions:

(i) sgn(det⁡(M))⋅∣det⁡(M)−8∣≥1\text{sgn}(\det(M)) \cdot |\det(M) - 8| \ge 1 (ii) ∣x+y−1∣+∣x−y+1∣≤4|x + y - 1| + |x - y + 1| \le 4

Find the area of the region consisting of all such points P(x,y)P(x,y).

17

Let a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c} be three non-coplanar vectors such that their scalar triple product [a⃗ b⃗ c⃗]=V[\vec{a} \ \vec{b} \ \vec{c}] = V. Consider the determinant Δ=∣(a⃗×b⃗)⋅(c⃗×a⃗)(a⃗×b⃗)⋅(b⃗×c⃗)∣a⃗×b⃗∣2(b⃗×c⃗)⋅(c⃗×a⃗)∣b⃗×c⃗∣2(b⃗×c⃗)⋅(a⃗×b⃗)∣c⃗×a⃗∣2(c⃗×a⃗)⋅(b⃗×c⃗)(c⃗×a⃗)⋅(a⃗×b⃗)∣\Delta = \begin{vmatrix} (\vec{a}\times\vec{b})\cdot(\vec{c}\times\vec{a}) & (\vec{a}\times\vec{b})\cdot(\vec{b}\times\vec{c}) & |\vec{a}\times\vec{b}|^2 \\ (\vec{b}\times\vec{c})\cdot(\vec{c}\times\vec{a}) & |\vec{b}\times\vec{c}|^2 & (\vec{b}\times\vec{c})\cdot(\vec{a}\times\vec{b}) \\ |\vec{c}\times\vec{a}|^2 & (\vec{c}\times\vec{a})\cdot(\vec{b}\times\vec{c}) & (\vec{c}\times\vec{a})\cdot(\vec{a}\times\vec{b}) \end{vmatrix} Which of the following represents the value of Δ\Delta?

18

Let A(x)A(x) be a 3×33 \times 3 matrix defined as: A(x)=(xx−5x2x−5x3x−54x−416x−464x−46x−836x−8216x−8)A(x) = \begin{pmatrix} \frac{x}{x-5} & \frac{x^2}{x-5} & \frac{x^3}{x-5} \\ \frac{4}{x-4} & \frac{16}{x-4} & \frac{64}{x-4} \\ \frac{6}{x-8} & \frac{36}{x-8} & \frac{216}{x-8} \end{pmatrix} Find the sum of all integers xx that satisfy the inequality det⁡(A(x))≤0\det(A(x)) \le 0.

19

Let u⃗(t)=i^+tj^+t22k^\vec{u}(t) = \hat{i} + t\hat{j} + \frac{t^2}{2}\hat{k}, v⃗(t)=i^+sin⁡(t)j^+(1−cos⁡t)k^\vec{v}(t) = \hat{i} + \sin(t)\hat{j} + (1-\cos t)\hat{k}, and w⃗(t)=i^+tan⁡(t)j^+ln⁡(1+t22)k^\vec{w}(t) = \hat{i} + \tan(t)\hat{j} + \ln\left(1+\frac{t^2}{2}\right)\hat{k} be three vectors in R3\mathbb{R}^3 for t∈(−π2,π2)t \in \left(-\frac{\pi}{2}, \frac{\pi}{2}\right). Let V(t)V(t) denote the volume of the parallelepiped determined by u⃗(t)\vec{u}(t), v⃗(t)\vec{v}(t), and w⃗(t)\vec{w}(t). Let n⃗(t)=u⃗(t)×v⃗(t)=nx(t)i^+ny(t)j^+nz(t)k^\vec{n}(t) = \vec{u}(t) \times \vec{v}(t) = n_x(t)\hat{i} + n_y(t)\hat{j} + n_z(t)\hat{k} be the normal vector to the plane containing u⃗(t)\vec{u}(t) and v⃗(t)\vec{v}(t). If m(t)=ny(t)nx(t)m(t) = \frac{n_y(t)}{n_x(t)} represents the slope of the projection of n⃗(t)\vec{n}(t) onto the xyxy-plane, evaluate the limit: lim⁡t→0(m(t)⋅V(t)t6)\lim_{t \to 0} \left( m(t) \cdot \frac{V(t)}{t^6} \right)

20

Let f(x)=∣x+1x2xx+1+cos⁡(1x)x2+sin⁡(1x)x+cos⁡(1x)x+2x2−2xx+1∣f(x) = \begin{vmatrix} x+1 & x^2 & x \\ x+1+\cos\left(\frac{1}{x}\right) & x^2 + \sin\left(\frac{1}{x}\right) & x + \cos\left(\frac{1}{x}\right) \\ x+2 & x^2 - 2x & x + 1 \end{vmatrix} for x≠0x \neq 0. Evaluate the limit: L=lim⁡x→01x∫0xf(t)dtL = \lim_{x \to 0} \frac{1}{x} \int_0^x f(t) dt

21

Let n≥2n \ge 2 be an integer. Consider the determinant Δ(y)=∣(n0)y2(n1)(n2)(n+10)y2(n+11)(n+12)(n+20)y2(n+21)(n+22)+1y3∣\Delta(y) = \begin{vmatrix} \binom{n}{0}y^2 & \binom{n}{1} & \binom{n}{2} \\ \binom{n+1}{0}y^2 & \binom{n+1}{1} & \binom{n+1}{2} \\ \binom{n+2}{0}y^2 & \binom{n+2}{1} & \binom{n+2}{2} + \frac{1}{y^3} \end{vmatrix} Let TT be the term independent of yy in the binomial expansion of (Δ(y))9(\Delta(y))^9. For an integer x∈[1,T]x \in [1, T], a matrix M(x)M(x) is defined as: M(x)=(sin⁡(πx2)1−cos⁡(πx)xsin⁡(πx2)sin⁡(πx3)cos⁡(2πx3)−1sin⁡(2πx3)sin⁡(πx7)sin⁡(2πx7)1−cos⁡(2πx7))M(x) = \begin{pmatrix} \sin\left(\frac{\pi x}{2}\right) & 1 - \cos(\pi x) & x \sin\left(\frac{\pi x}{2}\right) \\ \sin\left(\frac{\pi x}{3}\right) & \cos\left(\frac{2\pi x}{3}\right) - 1 & \sin\left(\frac{2\pi x}{3}\right) \\ \sin\left(\frac{\pi x}{7}\right) & \sin\left(\frac{2\pi x}{7}\right) & 1 - \cos\left(\frac{2\pi x}{7}\right) \end{pmatrix} Find the number of valid values of xx such that no row of M(x)M(x) is a zero vector.

22

Consider the following system of linear equations for θ∈(0,π2)∖{π4}\theta \in (0, \frac{\pi}{2}) \setminus \{\frac{\pi}{4}\}: xcos⁡θ+ysin⁡θ+z=cos⁡2θx \cos \theta + y \sin \theta + z = \cos^2 \theta xsin⁡θ+ycos⁡θ+z=sin⁡2θ+1−sin⁡2θx \sin \theta + y \cos \theta + z = \sin^2 \theta + \sqrt{1 - \sin 2\theta} x+y+2z=1x + y + 2z = 1 Let (x(θ),y(θ),z(θ))(x(\theta), y(\theta), z(\theta)) be the unique solution to this system. If f(θ)=x(θ)−y(θ)f(\theta) = x(\theta) - y(\theta), and L1=lim⁡θ→π4−f(θ)L_1 = \lim_{\theta \to \frac{\pi}{4}^-} f(\theta), L2=lim⁡θ→π4+f(θ)L_2 = \lim_{\theta \to \frac{\pi}{4}^+} f(\theta), then the value of L12+L22+L1L2L_1^2 + L_2^2 + L_1 L_2 is:

23

Let a⃗=[x]i^+2j^+k^\vec{a} = [x]\hat{i} + 2\hat{j} + \hat{k}, b⃗=2i^+[x]j^+k^\vec{b} = 2\hat{i} + [x]\hat{j} + \hat{k}, and c⃗=i^+2j^+[x]k^\vec{c} = \hat{i} + 2\hat{j} + [x]\hat{k}, where [x][x] denotes the greatest integer less than or equal to xx. Let NN be the 3×33 \times 3 matrix whose rows are the vectors a⃗×b⃗\vec{a} \times \vec{b}, b⃗×c⃗\vec{b} \times \vec{c}, and c⃗×a⃗\vec{c} \times \vec{a}. If SS is the set of all x∈[−5,5]x \in [-5, 5] such that det⁡(adj(adj(N)))=0\det(\text{adj}(\text{adj}(N))) = 0, then the value of ∫S2x dx\int_S 2x \, dx is:

24

Let MM be a non-zero 3×33 \times 3 real skew-symmetric matrix such that M3+9M=OM^3 + 9M = O, where OO is the null matrix. For x>0x > 0, let A(x)=2xI−MA(x) = \frac{2}{x} I - M, where II is the 3×33 \times 3 identity matrix. If f(x)=Tr(adj(A(x)))f(x) = \text{Tr}(\text{adj}(A(x))) and g(x)=det⁡(A(x))g(x) = \det(A(x)), then the value of lim⁡x→∞x(f(x)−9)g(x)\lim_{x \to \infty} \frac{x(f(x) - 9)}{g(x)} is

25

Let AA be a 3×33 \times 3 Skew-Hermitian matrix with complex entries such that A3+7A−6iI=0A^3 + 7A - 6iI = 0, where II is the 3×33 \times 3 identity matrix and i=−1i = \sqrt{-1}. Which of the following is the value of det⁡((adj(A))∗−A2)\det((adj(A))^* - A^2)?

26

Consider the system of linear equations: x+y+z=1x + y + z = 1 2x+3y+[α]z=22x + 3y + [\alpha]z = 2 8x+6y+3∣α∣z=β8x + 6y + 3|\alpha|z = \beta where α,β∈R\alpha, \beta \in \mathbb{R} and [t][t] denotes the greatest integer less than or equal to tt. Let AA be the set of all values of α\alpha for which there exists a real number β\beta such that the system has infinitely many solutions. If S=∑α∈A∣α∣S = \sum_{\alpha \in A} |\alpha| and β0\beta_0 is the unique value of β\beta that makes the system consistent for these α\alpha, then the value of 3S+β03S + \beta_0 is:

27

Let f(x)=min⁡(sin⁡2x,x2+x)f(x) = \min(\sin 2x, x^2+x). Let a=lim⁡x→0+f(x)xa = \lim_{x \to 0^+} \frac{f(x)}{x} and b=lim⁡x→0−f(x)xb = \lim_{x \to 0^-} \frac{f(x)}{x}. Consider the system of linear equations: x+ay+z=1x + ay + z = 1 x+2y+bz=2x + 2y + bz = 2 2x+3y+3z=λ2x + 3y + 3z = \lambda Let SS be the set of all real values of λ\lambda for which the system has infinitely many solutions. Find the sum of the elements of SS.

28

Consider the linear programming problem: Maximize Z=(4−3)(xy)Z = \begin{pmatrix} 4 & -3 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} subject to the constraints: (214−1)(xy)≤(513)\begin{pmatrix} 2 & 1 \\ 4 & -1 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} \le \begin{pmatrix} 5 \\ 13 \end{pmatrix} x≥0,y≥0x \ge 0, y \ge 0 The maximum value of ZZ is:

29

Let zr=cos⁡(2πr11)+isin⁡(2πr11)z_r = \cos\left(\frac{2\pi r}{11}\right) + i\sin\left(\frac{2\pi r}{11}\right) for r=1,2,…,10r = 1, 2, \dots, 10. Consider the vectors v⃗1,v⃗2,v⃗3∈C3\vec{v}_1, \vec{v}_2, \vec{v}_3 \in \mathbb{C}^3 such that the kk-th component of v⃗j\vec{v}_j is given by: Ajk=∑r=110ir∣j−k∣(zrj−k−zrk−j)A_{jk} = \sum_{r=1}^{10} i^{r|j-k|} \left( z_r^{j-k} - z_r^{k-j} \right) where i=−1i = \sqrt{-1}. If VV represents the volume of the parallelepiped formed by the vectors v⃗1,v⃗2,v⃗3\vec{v}_1, \vec{v}_2, \vec{v}_3, which is given by the modulus of their scalar triple product, find the value of VV.

30

Let A=[aij]A = [a_{ij}] be a 3×33 \times 3 matrix where its elements are given by the integral: aij=∫0π(i2−j2)sin⁡x1+ex−π/2dxa_{ij} = \int_{0}^{\pi} \frac{(i^2 - j^2) \sin x}{1 + e^{x - \pi/2}} dx Find the value of det⁡(I−A2)\det(I - A^2), where II is the 3×33 \times 3 identity matrix.

31

Let Sn=∑r=1nr104S_n = \sum_{r=1}^n r^{104}. Consider the real number LL defined by L=lim⁡n→∞(105Snn105)n105L = \lim_{n \to \infty} \left( \frac{105 S_n}{n^{105}} \right)^{\frac{n}{105}} Let SS be the set of all 4×44 \times 4 real matrices AA satisfying AT=−AA^T = -A and AAT=(ln⁡L−12)IA A^T = \left( \ln L - \frac{1}{2} \right) I, where II is the 4×44 \times 4 identity matrix. Find the number of elements in SS.

32

Let A=[aij]A = [a_{ij}] be a 3×33 \times 3 skew-symmetric matrix with real entries such that A(111)=(1−21)A \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix} = \begin{pmatrix} 1 \\ -2 \\ 1 \end{pmatrix}. For i=1,2,3i=1,2,3, consider the lines Li:ai1x+ai2y+ai3=0L_i: a_{i1}x + a_{i2}y + a_{i3} = 0. Assuming a12≠0a_{12} \neq 0, the lines L1,L2,L3L_1, L_2, L_3 are concurrent at a point PP. If the locus of PP as the entries of AA vary is a curve SS, and dd is the perpendicular distance from the origin to SS, find the value of 10d210d^2.

33

Let A=[aij]A = [a_{ij}] be a 4×44 \times 4 matrix where its entries are given by the binomial sum: aij=110∑k=02(−1)k(2k)(i−j+1−k)5a_{ij} = \frac{1}{10} \sum_{k=0}^2 (-1)^k \binom{2}{k} (i-j+1-k)^5 for 1≤i,j≤41 \le i, j \le 4. Let matrix BB be obtained from AA by applying the following sequence of elementary operations in order: R1↔R3R_1 \leftrightarrow R_3, C2↔C4C_2 \leftrightarrow C_4, and R2↔R4R_2 \leftrightarrow R_4. Find the value of [∣B∣1000]\left[ \frac{|B|}{1000} \right], where [⋅][ \cdot ] denotes the greatest integer function.

34

Let a⃗=(x2−4)i^+x2j^+exk^\vec{a} = (x^2-4)\hat{i} + x^2\hat{j} + e^x\hat{k}, b⃗=(x2−4)[x]i^+(x2[x]+[x])j^+(ex[x]+[x])k^\vec{b} = (x^2-4)[x]\hat{i} + (x^2[x]+[x])\hat{j} + (e^x[x]+[x])\hat{k}, and c⃗=(x2−4)[x]2i^+(x2[x]2+[x]2)j^+(ex[x]2+[x]2+[x])k^\vec{c} = (x^2-4)[x]^2\hat{i} + (x^2[x]^2+[x]^2)\hat{j} + (e^x[x]^2+[x]^2+[x])\hat{k}, where [x][x] denotes the greatest integer less than or equal to xx. Let V(x)V(x) be the volume of the parallelepiped formed by the vectors a⃗,b⃗,\vec{a}, \vec{b}, and c⃗\vec{c}. Find the value of lim⁡h→0+V(2+h)−V(2−h)h\lim_{h \to 0^+} \frac{V(2+h) - V(2-h)}{h}

35

Let ω=ei2π7\omega = e^{i \frac{2\pi}{7}}. Let AA be a 6×66 \times 6 lower triangular matrix with diagonal entries Akk=1−ωk+11−ωkA_{kk} = 1 - \omega^k + \frac{1}{1 - \omega^k} for k=1,2,…,6k = 1, 2, \dots, 6. Let BB be a 6×66 \times 6 upper triangular matrix with diagonal entries Bkk=1−ω6k+11−ω6kB_{kk} = 1 - \omega^{6k} + \frac{1}{1 - \omega^{6k}} for k=1,2,…,6k = 1, 2, \dots, 6. Find the value of 49det⁡(AB)49 \det(AB).

36

Let PP be the set of all polynomials p(x)=ax2+bx+cp(x) = ax^2 + bx + c of degree exactly 2 (a≠0a \neq 0) with integer coefficients. For each p∈Pp \in P, define a 3×33 \times 3 matrix ApA_p derived from function composition as: Ap=(p(1)p(p(1))p(p(p(1)))0p(2)p(p(2))00p(3))A_p = \begin{pmatrix} p(1) & p(p(1)) & p(p(p(1))) \\ 0 & p(2) & p(p(2)) \\ 0 & 0 & p(3) \end{pmatrix} Let Tp:Z3→Z3T_p : \mathbb{Z}^3 \to \mathbb{Z}^3 be the linear transformation defined by Tp(X)=ApXT_p(X) = A_p X. If SS is the subset of PP containing all polynomials for which TpT_p is a bijective mapping, find the value of ∑p∈S(a2+b2+c2)\sum_{p \in S} (a^2 + b^2 + c^2).

37

Let A=[ai,j]A = [a_{i,j}] be a 15×1515 \times 15 matrix defined as: ai,j={0if i≠j2∣130−1i(i+1)∣if i=ja_{i,j} = \begin{cases} 0 & \text{if } i \neq j \\ 2^{\left| \frac{1}{30} - \frac{1}{i(i+1)} \right|} & \text{if } i = j \end{cases} The value of 48log⁡2(det⁡A)48 \log_2 (\det A) is equal to:

38

Let a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c} be three mutually orthogonal vectors forming a left-handed system. Consider three lines L1,L2,L3L_1, L_2, L_3 defined as: L1:r⃗=a⃗×b⃗+λ(b⃗×c⃗)L_1: \vec{r} = \vec{a} \times \vec{b} + \lambda (\vec{b} \times \vec{c}) L2:r⃗=b⃗×c⃗+μ(c⃗×a⃗)L_2: \vec{r} = \vec{b} \times \vec{c} + \mu (\vec{c} \times \vec{a}) L3:r⃗=c⃗×a⃗+γ(a⃗×b⃗)L_3: \vec{r} = \vec{c} \times \vec{a} + \gamma (\vec{a} \times \vec{b}) If the shortest distances between the pairs of lines (L1,L2)(L_1, L_2), (L2,L3)(L_2, L_3), and (L3,L1)(L_3, L_1) are 22, 33, and 66 respectively, find the value of [a⃗′+b⃗′,b⃗′+c⃗′,c⃗′+a⃗′][\vec{a}' + \vec{b}', \vec{b}' + \vec{c}', \vec{c}' + \vec{a}'], where a⃗′,b⃗′,c⃗′\vec{a}', \vec{b}', \vec{c}' represent the reciprocal system of vectors for a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c}.

39

Let CC be a curve defined by the locus of points (x,y)(x,y) satisfying the equation ∣x+1y1yx−1−1111∣=5\begin{vmatrix} x+1 & y & 1 \\ y & x-1 & -1 \\ 1 & 1 & 1 \end{vmatrix} = 5 Let RR be the region in the first quadrant bounded by the curve CC, the xx-axis, and the line x=3x = 3. The area of the region RR is:

40

Let u^\hat{u} be a unit column vector in R3\mathbb{R}^3 and let A=I−u^u^TA = I - \hat{u}\hat{u}^T, where II is the 3×33 \times 3 identity matrix. Let BB be a 3×33 \times 3 matrix representing the coterminous edges of a parallelepiped PP with a volume of 55 cubic units. A new parallelepiped P′P' is formed whose coterminous edges are the column vectors of the matrix C=(adj(A)+2A)BC = (\text{adj}(A) + 2A)B. What is the volume of P′P'?

41

Let the lines L1:x−11=y−22=z−33L_1: \frac{x-1}{1} = \frac{y-2}{2} = \frac{z-3}{3} and L2:2x−6a=1−y−2=z+11L_2: \frac{2x-6}{a} = \frac{1-y}{-2} = \frac{z+1}{1} be coplanar. Let VV be the unique point of intersection of the planes P1:x+y+z=aP_1: x + y + z = a, P2:2x−y+z=3P_2: 2x - y + z = 3, and P3:x+2y−z=4P_3: x + 2y - z = 4. If A,B,A, B, and CC are the points of intersection of the plane x+y+z=12x + y + z = 12 with the x,y,x, y, and zz axes respectively, find the volume of the tetrahedron VABCVABC.

42

Let u⃗=i^+j^+k^\vec{u} = \hat{i} + \hat{j} + \hat{k} and v⃗=12i^+2j^\vec{v} = 12\hat{i} + 2\hat{j}. A point PP moves along the curve CC given by the position vector r⃗(t)=t2i^+tj^+k^\vec{r}(t) = t^2\hat{i} + t\hat{j} + \hat{k}, where t∈Rt \in \mathbb{R}. Let SS be the region in the first octant bounded by the sphere x2+y2+z2=651x^2 + y^2 + z^2 = 651. If PP is restricted to lie within or on the boundary of SS, what is the maximum volume of the parallelepiped formed by the vectors u⃗\vec{u}, v⃗\vec{v}, and r⃗(t)\vec{r}(t)?

43

Let a⃗=i^+xj^+x2k^\vec{a} = \hat{i} + x\hat{j} + x^2\hat{k}, b⃗=i^+∣x∣j^+∣x∣2k^\vec{b} = \hat{i} + |x|\hat{j} + |x|^2\hat{k}, and c⃗=i^+[x]j^+[x]2k^\vec{c} = \hat{i} + [x]\hat{j} + [x]^2\hat{k}, where [x][x] denotes the greatest integer less than or equal to xx, and {x}\{x\} denotes the fractional part of xx. Let f(x)=[a⃗×b⃗  b⃗×c⃗  c⃗×a⃗]f(x) = [\vec{a} \times \vec{b} \ \ \vec{b} \times \vec{c} \ \ \vec{c} \times \vec{a}]. Find the number of non-integer solutions to the equation f(x)=4x2(x+2)2{x}2f(x) = 4x^2 (x + 2)^2 \{x\}^2.

44

Let A,B,CA, B, C be the angles of a triangle such that the determinant ∣sec⁡2Atan⁡A1sec⁡2Btan⁡B1sec⁡2Ctan⁡C1∣=0\begin{vmatrix} \sec^2 A & \tan A & 1 \\ \sec^2 B & \tan B & 1 \\ \sec^2 C & \tan C & 1 \end{vmatrix} = 0 and sin⁡(A−B)=cos⁡C\sin(A-B) = \cos C. Let SS be the sum of all possible values of AA. Find SS.

45

Let A(x)=(1xx21[x][x]21x+[x](x+[x])2)A(x) = \begin{pmatrix} 1 & x & x^2 \\ 1 & [x] & [x]^2 \\ 1 & x+[x] & (x+[x])^2 \end{pmatrix}, where [x][x] denotes the greatest integer less than or equal to xx. Let f(x)=det⁡(adj(A(x)))f(x) = \det(\text{adj}(A(x))). If SS is the set of all points in the interval (−4,5)(-4, 5) where f(x)f(x) is not differentiable, find the value of ∑k∈S(k+2)\sum_{k \in S} (k+2).

46

Let fk(x)=∑n=1∞nkxn−1f_k(x) = \sum_{n=1}^{\infty} n^k x^{n-1} for ∣x∣<1|x| < 1 and k∈{0,1,2,3}k \in \{0, 1, 2, 3\}. Define the determinants: Δ1(x)=∣f1(x)f2(x)f3(x)f1(1/2)f2(1/2)f3(1/2)f1(−1/2)f2(−1/2)f3(−1/2)∣\Delta_1(x) = \begin{vmatrix} f_1(x) & f_2(x) & f_3(x) \\ f_1(1/2) & f_2(1/2) & f_3(1/2) \\ f_1(-1/2) & f_2(-1/2) & f_3(-1/2) \end{vmatrix} Δ2(x)=∣f0(x)f1(x)f2(x)f0(1/2)f1(1/2)f2(1/2)f0(−1/2)f1(−1/2)f2(−1/2)∣\Delta_2(x) = \begin{vmatrix} f_0(x) & f_1(x) & f_2(x) \\ f_0(1/2) & f_1(1/2) & f_2(1/2) \\ f_0(-1/2) & f_1(-1/2) & f_2(-1/2) \end{vmatrix} Find the value of lim⁡x→1/2Δ1(x)Δ2(x)\lim_{x \to 1/2} \frac{\Delta_1(x)}{\Delta_2(x)}.

47

Let zk=xk+iykz_k = x_k + i y_k (k=1,2,3k=1,2,3) be three distinct complex numbers lying on the curve Im(z)=(Re(z))3\text{Im}(z) = (\text{Re}(z))^3. Let v⃗k=i^+xkj^+ykk^\vec{v}_k = \hat{i} + x_k \hat{j} + y_k \hat{k} for k=1,2,3k=1,2,3. It is given that the vectors v⃗1,v⃗2,v⃗3\vec{v}_1, \vec{v}_2, \vec{v}_3 are coplanar. Let SS be the set of all real numbers r>0r > 0 such that there exist such points z1,z2,z3z_1, z_2, z_3 satisfying ∣zk−(4+3i)∣≤r|z_k - (4+3i)| \le r for all k∈{1,2,3}k \in \{1,2,3\}. Which of the following represents the set SS?

48

Let f(x)=∣111cos⁡(πx)11cos⁡(πx)∣x−1∣1∣f(x) = \begin{vmatrix} 1 & 1 & 1 \\ \cos(\pi x) & 1 & 1 \\ \cos(\pi x) & |x-1| & 1 \end{vmatrix}. Let SS be the number of points c∈(0,2)c \in (0, 2) such that f′(c)=0f'(c) = 0. Find the value of SS.

49

Let A(x)=(xx−10x)A(x) = \begin{pmatrix} x & \sqrt{x-1} \\ 0 & x \end{pmatrix} and B(x)=(3−x0x3−x)B(x) = \begin{pmatrix} \sqrt{3-x} & 0 \\ x & \sqrt{3-x} \end{pmatrix}. Let SS be the largest subset of R\mathbb{R} such that for all x∈Sx \in S, the matrices A(x)A(x) and B(x)B(x) have real entries. Let M(x)=A(x)B(x)−B(x)A(x)M(x) = A(x)B(x) - B(x)A(x) and f(x)=Tr(M(x)2)f(x) = \text{Tr}(M(x)^2). If α=min⁡(S)\alpha = \min(S) and β=max⁡(S)\beta = \max(S), find the value of f+′(α)+f−′(β)f'_+(\alpha) + f'_-(\beta), where f+′f'_+ and f−′f'_- denote the right-hand and left-hand derivatives with respect to xx.

50

Let M=(1ab01c001)M = \begin{pmatrix} 1 & a & b \\ 0 & 1 & c \\ 0 & 0 & 1 \end{pmatrix} be a matrix whose rows are the vectors v⃗1,v⃗2,v⃗3\vec{v}_1, \vec{v}_2, \vec{v}_3. Let p⃗i\vec{p}_i be the orthogonal projection of v⃗i\vec{v}_i onto the plane x+y+z=0x+y+z=0. The determinant Δ\Delta of the matrix with rows p⃗1,p⃗2,p⃗3\vec{p}_1, \vec{p}_2, \vec{p}_3 is identically zero, providing no unique solution for a,b,ca, b, c. However, it is given that p⃗1+p⃗2+p⃗3=0⃗\vec{p}_1 + \vec{p}_2 + \vec{p}_3 = \vec{0}. Let L1L_1 be the line r⃗=λv⃗1\vec{r} = \lambda \vec{v}_1 and L2L_2 be the line r⃗=k^+μv⃗2\vec{r} = \hat{k} + \mu \vec{v}_2. If the shortest distance between L1L_1 and L2L_2 is 15\frac{1}{\sqrt{5}}, find the value of b2b^2.

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