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Linear Algebra: Exam-Focused Concepts and Problem Solving

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💡 Key Idea

Linear Equations: The Core of Linear Algebra

Not all equations are linear—know the difference.

A linear equation in variables $x_1, x_2, \ldots, x_n$ is one that can be written as $a_1x_1 + a_2x_2 + \cdots + a_nx_n = b$, where the coefficients $a_i$ and constant $b$ are real numbers. Crucially, variables appear only to the first power and are not multiplied together.

↳ Linear equations have variables to the first power only, no products of variables, and no nonlinear functions.

📖 Definition

Matrix Inverse: Definition and Condition

Only square matrices can have inverses.

↳ A matrix is invertible if and only if it is square and its determinant is nonzero.

➗ Formula

Inverse of a 2×2 Matrix

Swap, negate, divide—quick inverse formula.

↳ For 2×2 matrices, use the formula: swap diagonal entries, negate off-diagonals, divide by determinant.

📖 Definition

Elementary Matrix: What Makes It Special

One row operation away from identity.

🛠️ Application

Why It Matters

Use Linear Algebra: Exam-Focused Concepts and Problem Solving in a practical way: - Think of one real scenario where it applies. - Ask what problem it helps solve. - Working view: This topic covers key linear algebra concepts tested in university exams, including linear equations, matrix inverses, determinants, vec…

📖 Smart notes

What you'll study, topic by topic

1

Linear Algebra: Exam-Focused Concepts and Problem Solving

20 min

This topic covers key linear algebra concepts tested in university exams, including linear equations, matrix inverses, determinants, vector spaces, eigenvalues, diagonalization, and Gram-Schmidt orthogonalization. It emp…

  • A linear equation in $x$ and $y$ has the form $ax + by = c$; any squared term like $y^2$ makes it nonlinear.
  • The inverse of $\begin{pmatrix} a & b \\ c & d \end{pmatrix}$ is $\frac{1}{ad-bc}\begin{pmatrix} d & -b \\ -c & a \end{pmatrix}$, valid when…
  • An elementary matrix is obtained by applying exactly one elementary row operation to an identity matrix.

Full explanation, worked examples & memory tricks in the app

❓ Leveled MCQ practice

Try the smart MCQs from this kit

All 19 questions, laddered from warm-up to topper-level, each with its answer and the reasoning behind it.

Warm-up · 6 questions

Q1. Which of the following equations is a linear equation in $x$ and $y$?

Beginner
A $2x + 3y = 5$
B $\sin x + y = 0$
C $x + y^2 = 0$
D $xy = 1$
Show the answer

A · $2x + 3y = 5$

A linear equation has the form $ax + by = c$ with each variable to the first power and no products. $2x+3y=5$ fits; the others contain $y^2$, $xy$, or $\sin x$.

Q2. What is the inverse of $\begin{pmatrix} 1 & 2 \\ 3 & 4 \end{pmatrix}$?

Beginner
A $\begin{pmatrix} 4 & -2 \\ -3 & 1 \end{pmatrix}$
B $\begin{pmatrix} -2 & 1 \\ 1.5 & -0.5 \end{pmatrix}$
C $\begin{pmatrix} -2 & 1.5 \\ 1 & -0.5 \end{pmatrix}$
D $\begin{pmatrix} 4 & -3 \\ -2 & 1 \end{pmatrix}$
Show the answer

B · $\begin{pmatrix} -2 & 1 \\ 1.5 & -0.5 \end{pmatrix}$

The determinant is $1\cdot4 - 2\cdot3 = -2$. The inverse is $\frac{1}{-2}\begin{pmatrix} 4 & -2 \\ -3 & 1 \end{pmatrix} = \begin{pmatrix} -2 & 1 \\ 1.5 & -0.5 \end{pmatrix}$.

Q3. Which matrix is an elementary matrix?

Beginner
A $\begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}$
B $\begin{pmatrix} 1 & 2 \\ 3 & 4 \end{pmatrix}$
C $\begin{pmatrix} 1 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 1 & 0 \end{pmatrix}$
D $\begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix}$
Show the answer

D · $\begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix}$

An elementary matrix is obtained by one elementary row operation on an identity matrix. Swapping rows of $I_2$ gives $\begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix}$. The $3\times3$ matrix has a zero row and duplicate row, requiring multiple operations; the others are not from a si…

Q4. Compute $\begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix}^{30}$.

Beginner
A $\begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix}$
B $\begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix}$
C $\begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}$
D $\begin{pmatrix} -1 & 0 \\ 0 & 1 \end{pmatrix}$
Show the answer

C · $\begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}$

The matrix is a reflection; its square is the identity. Since 30 is even, the 30th power is the identity.

Q5. If $\det(A) = 3$ and $\det(B) = 5$, what is $\det(AB)$?

Beginner
A $8$
B $15$
C $2$
D $\frac{3}{5}$
Show the answer

B · $15$

Determinants multiply: $\det(AB) = \det(A)\det(B) = 3 \cdot 5 = 15$.

Q6. A square matrix is invertible if and only if its determinant is nonzero.

Beginner
A True
B False
Show the answer

A · True

A square matrix is invertible if and only if its determinant is nonzero.

Building up · 8 questions

Q7. For which values of $k$ is the matrix $\begin{pmatrix} k-2 & -2 \\ -2 & k-2 \end{pmatrix}$ singular?

Intermediate
A $k = 4$ only
B $k = 0$ and $k = 4$
C $k = -2$ and $k = 2$
D $k = 2$ only
Show the answer

B · $k = 0$ and $k = 4$

Set determinant to zero: $(k-2)^2 - 4 = 0 \Rightarrow (k-2)^2 = 4 \Rightarrow k-2 = \pm 2 \Rightarrow k = 0$ or $k = 4$.

Q8. Given $v = (2,3,0,6)$, find all scalars $k$ such that $\|kv\| = 5$.

Intermediate
A $k = \pm 5$
B $k = \pm \frac{7}{5}$
C $k = \pm \frac{5}{7}$
D $k = \frac{5}{7}$ only
Show the answer

C · $k = \pm \frac{5}{7}$

$\|v\| = \sqrt{4+9+0+36} = 7$. Then $\|kv\| = |k|\|v\| = 7|k| = 5$, so $|k| = 5/7$ and $k = \pm 5/7$.

Q9. Is $(1,2,1)$ a linear combination of $u = (1,1,1)$ and $v = (1,0,1)$?

Intermediate
A Yes, with $a=2$, $b=-1$.
B No, because the system is inconsistent.
C No, because the vectors are linearly dependent.
D Yes, with $a=1$, $b=0$.
Show the answer

A · Yes, with $a=2$, $b=-1$.

Solve $a(1,1,1)+b(1,0,1)=(1,2,1)$: $a+b=1$, $a=2$, $a+b=1$. With $a=2$, $b=-1$ works: $2(1,1,1)-1(1,0,1)=(1,2,1)$.

Q10. Do the vectors $(2,1)$ and $(3,0)$ form a basis for $\mathbb{R}^2$?

Intermediate
A Yes, because their determinant is $-3 \neq 0$.
B No, because they are linearly dependent.
C Yes, because they are orthogonal.
D No, because they do not span $\mathbb{R}^2$.
Show the answer

A · Yes, because their determinant is $-3 \neq 0$.

Form the matrix with these as columns: determinant $= 2\cdot0 - 3\cdot1 = -3 \neq 0$, so they are independent and span $\mathbb{R}^2$, hence a basis.

Q11. Which of the following matrices is Hermitian?

Intermediate
A $\begin{pmatrix} 1 & i \\ i & 2 \end{pmatrix}$
B $\begin{pmatrix} 1 & i \\ -i & 2 \end{pmatrix}$
C $\begin{pmatrix} 0 & 1 \\ -1 & 0 \end{pmatrix}$
D $\begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix}$
Show the answer

B · $\begin{pmatrix} 1 & i \\ -i & 2 \end{pmatrix}$

A Hermitian matrix satisfies $A^* = A$. For $\begin{pmatrix} 1 & i \\ -i & 2 \end{pmatrix}$, the conjugate transpose is $\begin{pmatrix} 1 & i \\ -i & 2 \end{pmatrix}$, so it is Hermitian. The others are not equal to their conjugate transpose.

Q12. For $u = (2-i, 4i, 1+i)$, what is $\|u\|$?

Intermediate
A $\sqrt{23}$
B $\sqrt{4+16+1}$
C $\sqrt{23+8i}$
D $\sqrt{5+16+2}$
Show the answer

A · $\sqrt{23}$

$\|u\| = \sqrt{|2-i|^2 + |4i|^2 + |1+i|^2} = \sqrt{5 + 16 + 2} = \sqrt{23}$.

Q13. Which of the following sets is a subspace of $\mathbb{R}^3$?

Intermediate
A $\{(a,1,1) : a \in \mathbb{R}\}$
B $\{(a,0,0) : a \in \mathbb{R}\}$
C $\{(1,a,b) : a,b \in \mathbb{R}\}$
D $\{(a,b,1) : a,b \in \mathbb{R}\}$
Show the answer

B · $\{(a,0,0) : a \in \mathbb{R}\}$

A subspace must contain the zero vector. Only $\{(a,0,0)\}$ contains $(0,0,0)$; the others have a fixed nonzero component.

Q14. Are $u = (1,2,-1)$ and $v = (0,1,1)$ orthogonal?

Intermediate
A No, because they are linearly dependent.
B Yes, because their norms are equal.
C Yes, because $u \cdot v = 0$.
D No, because $u \cdot v = 1 \neq 0$.
Show the answer

D · No, because $u \cdot v = 1 \neq 0$.

Orthogonal means dot product zero. $u \cdot v = 1\cdot0 + 2\cdot1 + (-1)\cdot1 = 1 \neq 0$, so they are not orthogonal.

Topper level · 5 questions

Q15. Which of the following is NOT a vector space axiom?

Advanced
A Closure under addition
B Commutativity of scalar multiplication
C Existence of a zero vector
D Distributivity of scalar multiplication over vector addition
Show the answer

B · Commutativity of scalar multiplication

The ten vector space axioms include closure, zero vector, and distributivity, but do not require commutativity of scalar multiplication (scalars multiply vectors, not each other in that way).

Q16. For the system $2x_1+2x_2+2x_3=0$, $-2x_1+5x_2+2x_3=1$, $8x_1+x_2+4x_3=-1$, what is the solution set?

Advanced
A Infinitely many solutions forming a plane
B A unique solution
C Infinitely many solutions forming a line
D No solution
Show the answer

C · Infinitely many solutions forming a line

Row reduction shows the last two equations are negatives, so the system is consistent with one free variable, giving a line of solutions.

Q17. Given the matrix \( A = egin{pmatrix} k-2 & -2 \ -2 & k-2 \end{pmatrix} \), for which values of \( k \) is the matrix singular?

Advanced
A Only \( k = 4 \)
B All real numbers
C Only \( k = 2 \)
D Only \( k = 0 \) and \( k = 4 \)
Show the answer

D · Only \( k = 0 \) and \( k = 4 \)

The matrix is singular when its determinant is zero. Calculating the determinant gives \( (k-2)^2 - 4 = 0 \), leading to \( k - 2 = \pm 2 \), thus \( k = 0 \) or \( k = 4 \).

Q18. Determine the eigenvalues of the matrix \( A = egin{pmatrix} 2 & 0 & -2 \ 0 & 3 & 0 \ 0 & 0 & 3 \end{pmatrix} \).

Advanced
A 2, 3, 3
B 2, 3, 2
C 3, 3, 3
D 2, 2, 3
Show the answer

A · 2, 3, 3

The eigenvalues of a triangular matrix are the entries on its diagonal. Hence, the eigenvalues of \( A \) are \( 2, 3, 3 \).

Q19. For the polynomial \( 6 + 11x + 6x^2 \), express it as a linear combination of the polynomials \( p_1 = 2+x+4x^2 \), \( p_2 = 1-x+3x^2 \), and \( p_3 = 3+2x+5x^2 \). What are the coefficients \( c_1, c_2, c_3 \)?

Advanced
A c_1 = 2, c_2 = 1, c_3 = 0
B c_1 = 0, c_2 = 3, c_3 = 1
C c_1 = -1, c_2 = 2, c_3 = 3
D c_1 = 1, c_2 = -2, c_3 = 2
Show the answer

D · c_1 = 1, c_2 = -2, c_3 = 2

By equating coefficients from \( 6 + 11x + 6x^2 = c_1(2+x+4x^2) + c_2(1-x+3x^2) + c_3(3+2x+5x^2) \) and solving the resulting system, we find \( c_1 = 1, c_2 = -2, c_3 = 2 \).

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