See how close CramCore gets
We generated a practice exam 3 days beforethe real midterm. Here's the side-by-side.
CramCore generated
Nov 12, 2025
Actual exam
Nov 15, 2025
Based on internal comparison of topic coverage. Individual results vary by course and materials uploaded.
MATH 235 — Linear Algebra II
Midterm 2 · 75 minutes · Total: 60 marks
Q1 [10 marks] — Eigenvalues
Let A be the 3×3 matrix with rows [2, 1, 0], [0, 3, 1], [0, 0, 2].
(a) Find all eigenvalues of A. [4 marks]
(b) For each eigenvalue, find a basis for the eigenspace. [6 marks]
Q2 [10 marks] — Diagonalization
Let B have eigenvalues λ₁ = 1, λ₂ = 4, λ₃ = 4 with corresponding eigenspaces of dimension 1, 2.
(a) Is B diagonalizable? Justify. [4 marks]
(b) If yes, find an invertible P and diagonal D such that B = PDP⁻¹. [6 marks]
Q3 [10 marks] — Orthogonality
Let W = span{v₁, v₂} where v₁ = [1, 1, 0, 1]ᵀ and v₂ = [0, 1, 1, 0]ᵀ.
(a) Apply Gram-Schmidt to {v₁, v₂} to produce an orthonormal basis for W. [6 marks]
(b) Find the orthogonal projection of b = [3, 1, 2, 4]ᵀ onto W. [4 marks]
Q4 [8 marks] — Least Squares
The system Ax = b has no solution. Find the least-squares solution x̂ where:
A = [[1,1],[1,2],[1,3]] b = [1, 3, 4]ᵀ
Q5 [12 marks] — Symmetric Matrices
Let S be a real symmetric matrix with eigenvalues 2 and 5.
(a) Prove that the eigenspaces of S are orthogonal. [6 marks]
(b) Find an orthogonal matrix Q and diagonal D such that S = QDQᵀ. [6 marks]
Q6 [10 marks] — Complex Eigenvalues
The matrix C = [[0, −2], [2, 0]] has complex eigenvalues.
(a) Find the eigenvalues and eigenvectors of C. [6 marks]
(b) Describe the geometric effect of C on ℝ². [4 marks]
MATH 235 — Linear Algebra II
Practice Midterm 2 · 75 minutes · Total: 60 marks
Q1 [10 marks] — Eigenvalues & Eigenvectors
Consider the matrix M = [[3, 1, 0], [0, 3, 0], [0, 0, 5]].
(a) Find all eigenvalues of M and their algebraic multiplicities. [4 marks]
(b) Determine a basis for each eigenspace. Is M diagonalizable? [6 marks]
Q2 [10 marks] — Diagonalization
Suppose A is a 3×3 matrix with characteristic polynomial p(λ) = −(λ − 2)²(λ − 7).
(a) Under what conditions on the eigenspaces is A diagonalizable? [4 marks]
(b) Given that A is diagonalizable, compute A⁴. [6 marks]
Q3 [10 marks] — Orthogonal Projections
Let W be the subspace of ℝ⁴ spanned by u₁ = [1, 0, 1, 1]ᵀ and u₂ = [1, 1, 0, −1]ᵀ.
(a) Verify that {u₁, u₂} is orthogonal. [2 marks]
(b) Find projᵣ y for y = [2, 3, 1, 0]ᵀ. [4 marks]
(c) Find the distance from y to W. [4 marks]
Q4 [8 marks] — Least Squares Regression
Fit a line y = c₀ + c₁t to the data points (0, 1), (1, 2), (2, 4) using least squares.
Set up and solve the normal equations AᵀAx̂ = Aᵀb.
Q5 [12 marks] — Spectral Theorem
Let S = [[5, 2], [2, 2]] be a real symmetric matrix.
(a) Find the eigenvalues of S. [4 marks]
(b) Find an orthonormal eigenbasis and write the orthogonal diagonalization S = QDQᵀ. [8 marks]
Q6 [10 marks] — Change of Basis
Let B = {[1,1]ᵀ, [1,−1]ᵀ} and B' = {[2,1]ᵀ, [1,1]ᵀ} be two bases for ℝ².
(a) Find the change-of-basis matrix from B to B'. [6 marks]
(b) If [v]ᵣ = [3, −1]ᵀ, find [v]ᵣ'. [4 marks]
Topic-by-topic breakdown
Green = CramCore predicted this topic. Grey = appeared on only one exam.
How does CramCore predict this?
CramCore reads your syllabus, notes, and past assessments. It figures out where your course is in the term, what format your professor uses, and which topics are due. Then it builds a practice exam that mirrors the real thing — without ever seeing it.