MTH168 · TU past paper
Mathematics II 2080 question paper
The complete TU 2080 exam paper for Mathematics II (MTH168), all 15 questions with solved model answers written to the mark scheme.
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- 110 marksNumericalRow reduction and Echelon formsHideAnswer
Define system of linear equations. When a system of equations is consistent? Make echelon form to solve:
$-2a - 3b + 4c = 5$
$b - 2c = 4$
$a + 3b - c = 2$
[10]
System of 3 equations in 3 unknowns: $$-2a - 3b + 4c = 5 \quad \cdots (1)$$ $$b - 2c = 4 \quad \cdots (2)$$ $$a + 3b - c = 2 \quad \cdots (3)$$ --- A linear equation in $n$ variables has the form: $$a1x1 + a2x2 + \cdots + anxn = b$$ wher...
- 210 marksNumericalIntroduction to linear transformationsHideAnswer
Define Linear Transformation with an Example
Let $A = \begin{bmatrix} 1 & -3 \ 3 & 5 \ -1 & 7 \end{bmatrix}$, $v = \begin{bmatrix} -2 \ 1 \end{bmatrix}$, $b = \begin{bmatrix} 3 \ 2 \ 1 \end{bmatrix}$, $x = \begin{bmatrix} x_1 \ x_2 \end{bmatrix}$, $T(x) = Ax$
a. Find $T(v)$
b. Find $x \in \mathbb{R}^2$ whose image under $T$ is $b$ [10]
Linear Transformation: Definition, Example, and Solution
STEP 1 - Given Data
$$A = \begin{bmatrix} 1 & -3 \ 3 & 5 \ -1 & 7 \end{bmatrix}, \quad v = \begin{bmatrix} -2 \ 1 \end{bmatrix}, \quad b = \begin{bmatrix} 3 \ 2 \ 1 \end{bmatrix}, \quad x = \begin{bmatrix} x_1 \ x_2 \end{bmatrix}, \quad T(x) = Ax$$
Definition of Linear Transformation
A transformation $T: \mathbb{R}^n \to \mathbb{R}^m$ is a linear transformation if for all $\mathbf{u}, \mathbf{v} \in \mathbb{R}^n$ and all scalars $c$:
- Additivity: $T(\mathbf{u} + \mathbf{v}) = T(\mathbf{u}) + T(\mathbf{v})$
- Homogeneity: $T(c\mathbf{v}) = c,T(\mathbf{v})$
Example: For any $m \times n$ matrix $A$, the map $T(\mathbf{x}) = A\mathbf{x}$ is a linear transformation (a matrix transformation).
STEP 2 - Solve
Part (a): Find $T(v)$
$$T(v) = Av = \begin{bmatrix} 1 & -3 \ 3 & 5 \ -1 & 7 \end{bmatrix} \begin{bmatrix} -2 \ 1 \end{bmatrix}$$
- Row 1: $(1)(-2) + (-3)(1) = -2 - 3 = -5$
- Row 2: $(3)(-2) + (5)(1) = -6 + 5 = -1$
- Row 3: $(-1)(-2) + (7)(1) = 2 + 7 = 9$
$$\boxed{T(v) = \begin{bmatrix} -5 \ -1 \ 9 \end{bmatrix}}$$
Part (b): Find $x \in \mathbb{R}^2$ with $T(x) = b$
Solve $Ax = b$:
$$\begin{bmatrix} 1 & -3 \ 3 & 5 \ -1 & 7 \end{bmatrix}\begin{bmatrix} x_1 \ x_2 \end{bmatrix} = \begin{bmatrix} 3 \ 2 \ 1 \end{bmatrix}$$
Augmented matrix:
$$\left[\begin{array}{cc|c} 1 & -3 & 3 \ 3 & 5 & 2 \ -1 & 7 & 1 \end{array}\right]$$
$R_2 \to R_2 - 3R_1$: $(0,\ 5+9,\ 2-9) = (0, 14, -7)$
$R_3 \to R_3 + R_1$: $(0,\ 7-3,\ 1+3) = (0, 4, 4)$
$$\left[\begin{array}{cc|c} 1 & -3 & 3 \ 0 & 14 & -7 \ 0 & 4 & 4 \end{array}\right]$$
$R_2 \to \tfrac{1}{14}R_2$: $(0, 1, -0.5)$
$R_3 \to R_3 - 4R_2$:
- Col 2: $4 - 4(1) = 0$
- Col 3 (RHS): $4 - 4(-0.5) = 4 + 2 = 6$
$$\left[\begin{array}{cc|c} 1 & -3 & 3 \ 0 & 1 & -0.5 \ 0 & 0 & 6 \end{array}\right]$$
The last row states $0 = 6$, which is impossible.
Verification of consistency using $R_3 - \frac{4}{14}R_2$ (before scaling): $$4 - \tfrac{4}{14}(-7) = 4 + 2 = 6 \neq 0$$
Same contradiction.
Conclusion: The system $Ax = b$ is inconsistent. There is no $x \in \mathbb{R}^2$ whose image under $T$ is $b = \begin{bmatrix} 3 \ 2 \ 1 \end{bmatrix}$.
Geometric reason: The columns of $A$ span at most a 2-dimensional subspace (plane) of $\mathbb{R}^3$. The vector $b$ does not lie in $\text{Col}(A)$, so $b$ is not in the range of $T$.
$$\boxed{\text{No solution: } b \text{ is not in the range of } T.}$$
State the conclusion: part (a) gives $T(v) = [-5, -1, 9]^T$, and the row reduction in part (b) reaches the contradiction $0 = 6$, so no such $x$ exists and the system is inconsistent.
- 310 marksNumericalPartitioned matricesHideAnswer
Find AB by block multiplication of the matrices.
$$A = \begin{bmatrix} 2 & -3 & -1 & 0 & -4 \ 1 & -5 & -2 & 3 & -1\ 0 & -4 & -2 & 7 & -1 \end{bmatrix}, \quad B = \begin{bmatrix} 6 & 4 \ 2 & -1 \ -3 & 7 \ 1 & 3 \ 5 & -3 \end{bmatrix}$$
[10]
$$A = \begin{bmatrix} 2 & -3 & -1 & 0 & -4 \ 1 & -5 & -2 & 3 & -1\ 0 & -4 & -2 & 7 & -1 \end{bmatrix}{3\times5}, \quad B = \begin{bmatrix} 6 & 4 \ 2 & -1 \ -3 & 7 \ 1 & 3 \ 5 & -3 \end{bmatrix}{5\times2}$$ Result $AB$ will be
- 410 marksNumericalLeast squares problemsHideAnswer
Find the least square solution of $Ax = c$ where
$$A = \begin{bmatrix} 1 & -3 & 3 \ 1 & 5 & 1 \ 1 & 7 & 2 \end{bmatrix}, \quad c = \begin{bmatrix} 5 \ -3 \ 5 \end{bmatrix}$$
and compute the associated least square error. [10+0]
$$A = \begin{bmatrix} 1 & -3 & 3 \ 1 & 5 & 1 \ 1 & 7 & 2 \end{bmatrix}, \quad c = \begin{bmatrix} 5 \ -3 \ 5 \end{bmatrix}$$ We solve the normal equations $A^TA\hat{x} = A^Tc$. --- $$A^T = \begin{bmatrix} 1 & 1 & 1 \ -3 & 5 & 7 \ 3...
- 55 marksNumericalLinear independenceHideAnswer
Determine the column of the matrix A are linearly independent where $A = \begin{bmatrix} 3 & -3 & 6 \ 0 & 2 & 4 \ 0 & 3 & 0 \end{bmatrix}$ [5]
$$A = \begin{bmatrix} 3 & -3 & 6 \ 0 & 2 & 4 \ 0 & 3 & 0 \end{bmatrix}$$ Columns: $\mathbf{a1} = \begin{bmatrix}3\0\0\end{bmatrix}$, $\mathbf{a2} = \begin{bmatrix}-3\2\3\end{bmatrix}$,
- 65 marksNumericalMatrix operationsHideAnswer
Let $A = \begin{bmatrix} 1 & 5 \ -3 & 1 \end{bmatrix}$, $B = \begin{bmatrix} 4 & -5 \ 3 & k \end{bmatrix}$
What value(s) of k, if any, will make AB = BA? [5]
$$A = \begin{bmatrix} 1 & 5 \ -3 & 1 \end{bmatrix}, \quad B = \begin{bmatrix} 4 & -5 \ 3 & k \end{bmatrix}$$ We must find $k$ (if any) so that $AB = BA$. --- $$AB = \begin{bmatrix} 1 & 5 \ -3 & 1 \end{bmatrix} \begin{bmatrix} 4 & -5 ...
- 75 marksNumericalPropertiesHideAnswer
Evaluate the determinant of the matrix.
$$\begin{bmatrix} 1 & -7 & 8 & 9 & -6 \ 0 & 2 & -5 & 7 & 3 \ 0 & 0 & 2 & 4 & -1 \ 0 & 0 & 1 & 5 & 0 \ 0 & 0 & 0 & -1 & 0 \end{bmatrix}$$
[5]
$$A = \begin{bmatrix} 1 & -7 & 8 & 9 & -6 \ 0 & 2 & -5 & 7 & 3 \ 0 & 0 & 2 & 4 & -1 \ 0 & 0 & 1 & 5 & 0 \ 0 & 0 & 0 & -1 & 0 \end{bmatrix}$$ Note: The matrix is not fully upper triangular because $a{43} = 1 \neq 0$. So cofactor expan...
- 85 marksNumericalVector equationsHideAnswer
When two column vectors in $\mathbb{R}^2$ are equal? Give an example. Compute $u + 3v$, $u - 2v$, where $u = \begin{bmatrix} 1 \ -3 \ 2 \end{bmatrix}, \quad v = \begin{bmatrix} 1 \ -1 \ 3 \end{bmatrix}$ [5]
STEP 1 - EXTRACT
Given data:
$$\mathbf{u} = \begin{bmatrix} 1 \ -3 \ 2 \end{bmatrix}, \quad \mathbf{v} = \begin{bmatrix} 1 \ -1 \ 3 \end{bmatrix}$$
Tasks:
- State the condition for equality of two column vectors in $\mathbb{R}^2$, with an example.
- Compute $\mathbf{u} + 3\mathbf{v}$ and $\mathbf{u} - 2\mathbf{v}$.
Note: The vectors given are actually in $\mathbb{R}^3$ (three components), though the theory question refers to $\mathbb{R}^2$. The equality definition generalizes; I answer the theory for $\mathbb{R}^2$ as asked and compute using the given $\mathbb{R}^3$ vectors.
STEP 2 - SOLVE
Part 1: Equality of two column vectors in $\mathbb{R}^2$
Two column vectors in $\mathbb{R}^2$ are equal if and only if their corresponding components are equal.
If $$\mathbf{u} = \begin{bmatrix} u_1 \ u_2 \end{bmatrix}, \quad \mathbf{v} = \begin{bmatrix} v_1 \ v_2 \end{bmatrix}$$ then $$\mathbf{u} = \mathbf{v} \iff u_1 = v_1 \ \text{and}\ u_2 = v_2.$$
Example: $$\begin{bmatrix} 3 \ -2 \end{bmatrix} = \begin{bmatrix} 3 \ -2 \end{bmatrix} \quad \text{(equal, matching entries)}$$ but $$\begin{bmatrix} 3 \ -2 \end{bmatrix} \neq \begin{bmatrix} -2 \ 3 \end{bmatrix} \quad \text{(order matters, entries differ)}.$$
Part 2: Compute $\mathbf{u} + 3\mathbf{v}$
$$3\mathbf{v} = 3\begin{bmatrix} 1 \ -1 \ 3 \end{bmatrix} = \begin{bmatrix} 3 \ -3 \ 9 \end{bmatrix}$$
$$\mathbf{u} + 3\mathbf{v} = \begin{bmatrix} 1 \ -3 \ 2 \end{bmatrix} + \begin{bmatrix} 3 \ -3 \ 9 \end{bmatrix} = \begin{bmatrix} 4 \ -6 \ 11 \end{bmatrix}$$
Compute $\mathbf{u} - 2\mathbf{v}$
$$2\mathbf{v} = \begin{bmatrix} 2 \ -2 \ 6 \end{bmatrix}$$
$$\mathbf{u} - 2\mathbf{v} = \begin{bmatrix} 1 \ -3 \ 2 \end{bmatrix} - \begin{bmatrix} 2 \ -2 \ 6 \end{bmatrix} = \begin{bmatrix} -1 \ -1 \ -4 \end{bmatrix}$$
Final Results
$$\mathbf{u} + 3\mathbf{v} = \begin{bmatrix} 4 \ -6 \ 11 \end{bmatrix}, \qquad \mathbf{u} - 2\mathbf{v} = \begin{bmatrix} -1 \ -1 \ -4 \end{bmatrix}$$
- 95 marksNumericalThe characteristic equationsHideAnswer
Find the eigenvalue of $A = \begin{bmatrix} 7 & 3 \ 3 & -1 \end{bmatrix}$ [5]
$$A = \begin{bmatrix} 7 & 3 \ 3 & -1 \end{bmatrix}$$ --- $$\det(A - \lambda I) = 0$$ $$A - \lambda I = \begin{bmatrix} 7 - \lambda & 3 \ 3 & -1 - \lambda \end{bmatrix}$$ $$\det(A - \lambda I) = (7 - \lambda)(-1 - \lambda) - (3)(3)$$ Ex...
- 105 marksNumericalNull spaces, Column spaces, and Linear traHideAnswer
Define null space of a matrix A. Let then show that v belongs to the null space matrix A. $A = \begin{bmatrix} 1 & -3 & 2 \ -5 & 9 & -1 \end{bmatrix}$, $v = \begin{bmatrix} 5 \ 3 \ 2 \end{bmatrix}$ [5]
Matrix A (2×3): $$A = \begin{bmatrix} 1 & -3 & 2 \ -5 & 9 & -1 \end{bmatrix}$$ Vector v (3×1): $$v = \begin{bmatrix} 5 \ 3 \ 2 \end{bmatrix}$$ All required data is present. --- For an $m \times n$ matrix $A$, the null space of $A$, de...
- 115 marksNumericalLeast squares problemsHideAnswer
Find the equation $y = a_0 + a_1 x$ of the least squares line that best fits the data points (2,1), (5,2), (7,3), (8,3). [5]
Least Squares Line: $y = a_0 + a_1x$
Given data
Points: $(2,1), (5,2), (7,3), (8,3)$, with $n = 4$.
Normal Equations
$$\sum y = na_0 + a_1\sum x$$ $$\sum xy = a_0\sum x + a_1\sum x^2$$
Computing Sums
$x$ $y$ $x^2$ $xy$ 2 1 4 2 5 2 25 10 7 3 49 21 8 3 64 24 $\sum x=22$ $\sum y=9$ $\sum x^2=142$ $\sum xy=57$ Substituting
$$9 = 4a_0 + 22a_1 \quad (1)$$ $$57 = 22a_0 + 142a_1 \quad (2)$$
Solving
Multiply (1) by 22, (2) by 4:
$$198 = 88a_0 + 484a_1 \quad (3)$$ $$228 = 88a_0 + 568a_1 \quad (4)$$
Subtract (3) from (4):
$$30 = 84a_1 \implies a_1 = \frac{30}{84} = \frac{5}{14} \approx 0.357$$
Substitute into (1):
$$9 = 4a_0 + 22\cdot\frac{5}{14} = 4a_0 + \frac{55}{7}$$ $$4a_0 = 9 - \frac{55}{7} = \frac{8}{7} \implies a_0 = \frac{2}{7} \approx 0.286$$
Result
$$\boxed{y = \frac{2}{7} + \frac{5}{14}x \approx 0.286 + 0.357x}$$
- 125 marksNumericalApplications to difference equationsHideAnswer
Show that the solutions of $y_{k+2} - 4y_{k+1} + 3y_k = 0$ are linearly independent. [5]
Homogeneous linear difference equation: $$y{k+2} - 4y{k+1} + 3yk = 0$$ Task: show the two fundamental solutions are linearly independent. Assume a solution of the form $yk = m^k$. Substituting: $$m^{k+2} - 4m^{k+1} + 3m^k = 0$$ Dividing ...
- 135 marksGroupsHideAnswer
Define group. Show that the set of integers is a group with respect to addition operation. [5]
Definition of a Group
Definition: A non-empty set G together with a binary operation * is called a group, denoted (G, *), if the following axioms are satisfied:
- Closure: For all a, b ∈ G, a * b ∈ G
- Associativity: For all a, b, c ∈ G, (a * b) * c = a * (b * c)
- Identity: There exists an element e ∈ G such that a * e = e * a = a for all a ∈ G
- Inverse: For every a ∈ G, there exists an element a⁻¹ ∈ G such that a * a⁻¹ = a⁻¹ * a = e
Proof: (Z, +) is a Group
Claim: The set of integers Z = {..., -2, -1, 0, 1, 2, ...} forms a group under the addition operation (+).
We verify all four group axioms:
Axiom 1: Closure
For all a, b ∈ Z, the sum a + b is also an integer.
Example: 3 + (-5) = -2 ∈ Z, 7 + 4 = 11 ∈ Z
Therefore, + is a binary operation on Z, and Z is closed under addition. ✓
Axiom 2: Associativity
For all a, b, c ∈ Z:
$$(a + b) + c = a + (b + c)$$
Example: (2 + 3) + 4 = 5 + 4 = 9 and 2 + (3 + 4) = 2 + 7 = 9
Since addition of integers is always associative, this holds for all a, b, c ∈ Z. ✓
Axiom 3: Existence of Identity
There exists 0 ∈ Z such that for all a ∈ Z:
$$a + 0 = 0 + a = a$$
Example: 5 + 0 = 0 + 5 = 5
Therefore, 0 is the additive identity in Z. ✓
Axiom 4: Existence of Inverse
For every a ∈ Z, there exists (-a) ∈ Z such that:
$$a + (-a) = (-a) + a = 0$$
Example: For a = 7, the inverse is -7 ∈ Z, and 7 + (-7) = 0
Since for every integer a, its negative (-a) is also an integer, every element has an inverse in Z. ✓
Conclusion
Since all four group axioms -- Closure, Associativity, Identity, and Inverse -- are satisfied, we conclude that:
$$\boxed{(\mathbb{Z},\ +) \text{ is a group.}}$$
Note: Since a + b = b + a for all a, b ∈ Z (commutativity also holds), (Z, +) is in fact an Abelian (commutative) group.
- 145 marksRings and FieldsHideAnswer
Define ring and show that set of positive integers with respect to addition and multiplication operation is not a ring. [5]
Definition of Ring and Proof that (Z⁺, +, ×) is Not a Ring
Definition of Ring
An algebraic structure (R, +, ×) with two binary operations, addition (+) and multiplication (×), is called a ring if it satisfies the following conditions:
# Condition Statement 1 Closure under addition a + b ∈ R, for all a, b ∈ R 2 Associativity of addition a + (b + c) = (a + b) + c, for all a, b, c ∈ R 3 Existence of additive identity There exists 0 ∈ R such that a + 0 = 0 + a = a, for all a ∈ R 4 Existence of additive inverse For each a ∈ R, there exists −a ∈ R such that a + (−a) = (−a) + a = 0 5 Commutativity of addition a + b = b + a, for all a, b ∈ R 6 Associativity of multiplication a(bc) = (ab)c, for all a, b, c ∈ R 7 Left distributivity a(b + c) = ab + ac, for all a, b, c ∈ R 8 Right distributivity (a + b)c = ac + bc, for all a, b, c ∈ R
Proof: (Z⁺, +, ×) is NOT a Ring
Let Z⁺ = {1, 2, 3, 4, ...} be the set of positive integers.
To show that (Z⁺, +, ×) is not a ring, it is sufficient to show that at least one condition of a ring is violated.
Checking Condition 3: Existence of Additive Identity
For (Z⁺, +, ×) to be a ring, there must exist an element 0 ∈ Z⁺ such that:
a + 0 = 0 + a = a, for all a ∈ Z⁺
But 0 ∉ Z⁺, since Z⁺ = {1, 2, 3, ...} contains only positive integers.
Therefore, no additive identity exists in Z⁺.
Checking Condition 4: Existence of Additive Inverse
For (Z⁺, +, ×) to be a ring, for every a ∈ Z⁺, there must exist −a ∈ Z⁺ such that:
a + (−a) = 0
Example: Take a = 3 ∈ Z⁺. Then we need −3 ∈ Z⁺.
But −3 ∉ Z⁺, since Z⁺ contains no negative integers.
Therefore, additive inverses do not exist in Z⁺.
Conclusion
Since the set of positive integers Z⁺ fails to satisfy:
- the existence of an additive identity (0 ∉ Z⁺), and
- the existence of additive inverses (−a ∉ Z⁺ for any a ∈ Z⁺),
the algebraic structure (Z⁺, +, ×) is NOT a ring. $\blacksquare$
- 155 marksInner product, Length, and orthoganilityHideAnswer
Prove that the two vectors u and v are perpendicular to each other if and only if the line through u is perpendicular bisector of the line segment from -u to v. [5]
The line through u means the line passing through the origin in the direction of u, i.e., the set {tu : t ∈ ℝ}. The line segment from -v to v has its midpoint at the origin (since (-v + v)/2 = 0). The line through u is the perpendicular ...