1. Differentiate a compound function
For x > 0, find the derivative of log(1 + x²).
Answer: 2x/(1 + x²).
Explanation: Apply the chain rule: the outer logarithm contributes the reciprocal of its input and the inner square contributes 2x.
25 original quant maths questions with concise solutions in calculus, series, optimisation, linear algebra, combinatorics and differential equations.
Quant maths interviews often use a short calculation to test whether you understand the structure behind it. Derivatives become sensitivities, positive-definite matrices become well-behaved risk objectives and projections become least-squares fits. Work through these calculations without a computer, then explain an assumption or sanity check for each answer.
Look for symmetry in a matrix, a square to complete or a recognised series. These observations can reveal both the answer and a check on it.
Convergence, invertibility, differentiability and positivity determine whether a familiar formula applies. Name the condition at the point where you use it.
After finding a derivative or eigenvalue, explain what it says about sensitivity, curvature or risk. Fluency is more useful when connected to a quantitative decision.
Try each question before reading its answer. These original teaching examples remain free to read on this page.
Differentiate and integrate carefully, including the chain rule and endpoint behaviour.
For x > 0, find the derivative of log(1 + x²).
Answer: 2x/(1 + x²).
Explanation: Apply the chain rule: the outer logarithm contributes the reciprocal of its input and the inner square contributes 2x.
Find the derivative of exp(3x).
Answer: 3exp(3x).
Explanation: The inner linear function contributes the factor 3. This same chain rule appears in discount and growth sensitivities.
Evaluate the integral of exp(−2x) from 0 to infinity.
Answer: 1/2.
Explanation: The antiderivative is −exp(−2x)/2. The upper endpoint vanishes, which requires a positive decay rate.
Evaluate the integral of x exp(−x) from 0 to infinity.
Answer: 1.
Explanation: Take u = x and integrate exp(−x). The boundary term vanishes, leaving the unit exponential integral.
Give the second-order Taylor approximation to exp(x) near zero.
Answer: 1 + x + x²/2.
Explanation: All derivatives of exp(x) equal 1 at zero. The omitted remainder is of order x³ locally.
Check convergence and curvature instead of relying only on a stationary point or a formal sum.
Sum 1 + 0.5 + 0.5² + … .
Answer: 2.
Explanation: The infinite geometric sum is 1/(1 − r) for |r| < 1. A finite partial sum has a different formula.
Evaluate the sum of k/2^k for k = 1,2,… .
Answer: 2.
Explanation: Differentiate the geometric series within its convergence interval to obtain sum k r^k = r/(1 − r)², then set r = 1/2.
Evaluate (exp(x) − 1)/x as x tends to zero.
Answer: 1.
Explanation: Use the derivative of exp at zero or its first-order expansion. Direct substitution only gives an indeterminate form.
Is f(x) = x² + 3x + 1 convex on the real line?
Answer: Yes, strictly convex.
Explanation: Its second derivative is 2 everywhere. A positive second derivative makes the derivative strictly increasing.
Find the minimiser of x² − 6x + 10 over real x.
Answer: x = 3, with minimum value 1.
Explanation: Complete the square as (x − 3)² + 1, or set the derivative to zero and check positive curvature.
Gradients, Hessians and eigendirections expose the geometry of quadratic models.
Find the gradient of f(x,y) = x² + xy + 2y².
Answer: (2x + y, x + 4y).
Explanation: Differentiate while holding the other coordinate fixed. The cross term contributes to both components.
Is the Hessian of f(x,y) = x² + xy + 2y² positive definite?
Answer: Yes; it is [[2,1],[1,4]].
Explanation: Its first leading principal minor is 2 and determinant is 7, both positive. This makes the quadratic strictly convex.
Minimise x² + y² subject to x + y = 1.
Answer: x = y = 1/2, giving value 1/2.
Explanation: Equal partial derivatives from the Lagrange equations imply x = y. The positive-definite quadratic ensures the stationary feasible point is the minimum.
Find the eigenvalues of [[2,1],[1,2]].
Answer: 3 and 1.
Explanation: Vectors (1,1) and (1,−1) are eigenvectors. Symmetry also guarantees real eigenvalues and orthogonal eigenspaces.
A 3 × 3 matrix has eigenvalues 1, 2 and 5, counted with multiplicity. What are its trace and determinant?
Answer: Trace 8; determinant 10.
Explanation: The trace is the sum and determinant the product of eigenvalues. These identities do not require distinct eigenvalues.
Rank, projections and positive semidefiniteness are practical constraints on a model, not just matrix vocabulary.
What is the rank of [[1,2],[2,4]]?
Answer: 1.
Explanation: The second column is twice the first and the first is nonzero. A zero determinant indicates singularity but does not alone distinguish rank zero from rank one.
Find the inverse of diag(2,5).
Answer: diag(1/2,1/5).
Explanation: Each nonzero diagonal entry can be inverted independently. A zero diagonal entry would make the matrix singular.
Project (3,1) onto the line spanned by (1,1) in Euclidean space.
Answer: (2,2).
Explanation: Use [v·u/(u·u)]u. The residual (1,−1) is orthogonal to the direction, providing a quick check.
Can [[1,2],[2,1]] be a covariance matrix?
Answer: No.
Explanation: Its eigenvalues are 3 and −1, violating positive semidefiniteness. Equivalently, the implied covariance exceeds the product of standard deviations.
How many unordered groups of 3 can be selected from 8 distinct items?
Answer: 56.
Explanation: Use C(8,3) = 8 × 7 × 6/(3 × 2 × 1). Divide out ordering because each group is counted six times otherwise.
Round out the toolkit with combinations, modular arithmetic, an ODE and a useful norm bound.
How many distinct arrangements does AABBC have?
Answer: 30.
Explanation: Start with 5! permutations and divide by 2! for each repeated pair. Identical letters do not create new arrangements.
What is the remainder of 2^10 on division by 7?
Answer: 2.
Explanation: Since 2³ has remainder 1, write 2^10 = (2³)³ × 2. Repeated cycles avoid a large integer calculation.
Solve y′ = 2y with y(0) = 3.
Answer: y(x) = 3exp(2x).
Explanation: Separate variables or recognise exponential growth. The initial condition fixes the multiplicative constant.
Compute (1 + i)².
Answer: 2i.
Explanation: Expand and use i² = −1. The real terms cancel, which also agrees with doubling the complex argument.
Vectors u and v have Euclidean norms 3 and 4. How large can |u·v| be?
Answer: At most 12.
Explanation: Cauchy–Schwarz bounds the absolute dot product by the product of norms. Equality requires the vectors to be linearly dependent.
Each question has its own page with a short answer and a credit to its source. Hints and full worked solutions are in the question bank with a free account.
Our bank summary dated contains 121 Pure Math entries in the bank. Counts describe entries in our curated practice bank, including its source and classification choices. They do not measure employer interview frequency, candidate success rates or how often any one question is asked.
The public examples above were written for these guides. They illustrate the techniques and are not a reproduction or ranking of the bank's sourced questions. The dashboard's broader bank combines sourced questions, worked answers where available and references for book entries without a reproduced solution.
| Subtopic | Bank entries |
|---|---|
| Calculus | 26 |
| Linear Algebra | 21 |
| Algebra & Number Theory | 17 |
| Combinatorics | 12 |
| Series & Limits | 12 |
| Integration | 9 |
| Discrete Math | 8 |
| Differential Equations | 7 |
| Complex Analysis | 4 |
| Markov Chains | 2 |
| Geometry | 2 |
| Optimisation | 1 |
Bank difficulty labels: 65 easy · 43 medium · 13 hard.
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