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GRE Mathematics

Papers, samples and curriculum documents for this course. · ⁨Dossiers, échantillons et documents de programme pour ce cours.⁩

← Exams · ⁨Examens⁩

Course units and learning goals · ⁨Unités de cours et objectifs d'apprentissage⁩

These lessons teach selected course objectives. Check the remaining coverage gaps; the material is not a complete preparation programme. · ⁨Ces leçons abordent des objectifs de cours sélectionnés. Vérifiez les lacunes restantes en couverture ; ce matériel ne constitue pas un programme d'entraînement complet.⁩

C.1 · Single-variable calculus and applications
  • Use limits, continuity and differentiability
  • Apply derivatives, integrals and the fundamental theorem
  • Recognise Riemann sums and distinguish them from infinite series
continuity
Agreement of a function value with its limit
convergence
Approach to a finite limiting value
C.2 · Multivariable calculus and vector analysis
  • Compute partial derivatives, gradients and directional derivatives
  • Use multiple integrals and coordinate changes
  • Use derivative conditions to distinguish planes from curved surfaces
gradient
Vector of partial derivatives
Jacobian
The local area or volume scaling in a coordinate change
A.1 · Linear algebra
  • Relate rank, nullity and solutions of linear systems
  • Analyse vector spaces and linear transformations
  • Compute eigenvalues, determinants and diagonalisation conditions
rank
Dimension of the image of a linear map
eigenvalue
A scalar satisfying Av=λv for a nonzero v
A.2 · Abstract algebra and number theory
  • Use groups, subgroups, homomorphisms and quotient structures
  • Distinguish rings, integral domains and fields
  • Apply divisibility, congruences and elementary number theory
homomorphism
A map preserving the relevant operation
field · ⁨champ⁩
A commutative ring where each nonzero element has an inverse
T.1 · Real analysis and topology
  • Apply sequence and function limit definitions
  • Distinguish compactness, connectedness and completeness
  • Use metric-space and elementary topological reasoning
compact
Every open cover has a finite subcover
supremum
The least upper bound of a set
T.2 · Discrete mathematics, probability and numerical methods
  • Use counting, recurrences, graph reasoning and logic
  • Calculate probabilities and distribution properties
  • Apply numerical approximation and assess error
recurrence
A rule linking a sequence term to earlier terms
mutually exclusive
Events that cannot happen together
T.3 · Complex analysis and residues
  • Test complex differentiability
  • Use contour integrals and residues
  • Evaluate contour integrals with simple and higher-order pole residues
analytic
Complex differentiable throughout a neighbourhood
residue
Coefficient of (z−a)^−1 in a Laurent series
C.3 · Differential equations and initial conditions
  • Solve separable first-order equations
  • Solve constant-coefficient second-order equations
  • Use initial conditions and uniqueness conditions
initial condition
A value of the solution or derivative specified at a starting point
characteristic root
A root of the polynomial governing exponential solutions
A.3 · Groups, cosets and quotient maps
  • Verify group structure and compute element orders and subgroup indices
  • Use kernels and images to identify quotient groups
  • Distinguish normal subgroups from arbitrary subgroups
  • Classify permutation conjugacy by cycle type
coset
A translate of a subgroup that forms one part of the coset partition
normal subgroup
A subgroup invariant under conjugation by every group element
A.4 · Rings, ideals and modules
  • Distinguish units, zero divisors and integral domains
  • Identify ideals and interpret quotient rings
  • Compare modules over rings with vector spaces over fields
  • Derive Boolean-ring properties without assuming commutativity
ideal
An additive subgroup of a ring absorbing multiplication by all ring elements
torsion
An element is annihilated by a nonzero scalar in the stated module
A.5 · Polynomials and field extensions
  • Test polynomial irreducibility over the specified field
  • Construct small finite fields from irreducible polynomials
  • Use extension degrees and the tower law
  • Use cyclotomic roots and coefficient relations to compute sums and products
irreducible polynomial
A positive-degree polynomial with no factorisation into smaller positive degrees over the stated field
extension degree
The dimension of an extension field as a vector space over its base field
A.6 · Congruences, divisibility and arithmetic functions
  • Solve linear congruences using gcd conditions
  • Combine coprime congruences with the Chinese remainder theorem
  • Apply Euler's theorem only to invertible residues
  • Use prime-exponent divisibility to find least admissible integers
congruence
Equality of residues because the modulus divides their difference
totient
The count of residues coprime to the positive integer modulus
T.4 · Sequences, series and uniform convergence
  • Use Cauchy, monotone convergence and subsequence criteria
  • Distinguish pointwise from uniform convergence of functions
  • Check hypotheses before interchanging limits and integrals
Cauchy sequence
A sequence whose sufficiently late terms are arbitrarily close to one another
uniform convergence
Convergence with one error threshold index valid at every point of the domain
T.5 · Open sets, compactness and connectedness
  • Compute closure, interior and boundary in a stated space
  • Apply compactness and connectedness to continuous maps
  • Distinguish relative topology from the ambient Euclidean topology
relative topology
Open subsets inherited by intersecting a subspace with ambient open sets
connectedness
Absence of a separation into disjoint nonempty relatively open subsets
C.4 · Taylor expansions and power-series endpoints
  • Construct Taylor polynomials and control approximation error
  • Determine radii of convergence and test endpoints separately
  • Differentiate and integrate power series within their interval of convergence
radius of convergence
The distance from the series centre inside which a power series converges absolutely
remainder
The difference between a function and its finite approximation
C.5 · Improper integrals and geometric applications
  • Define improper integrals by limits at each singular boundary
  • Select area, volume and arc-length formulas from the geometry
  • Separate convergence of integrals from signed cancellation
improper integral
An integral defined by limits at infinite or singular boundaries
principal value
A limit using prescribed symmetric cancellation that may exist when an ordinary improper integral diverges
C.6 · Multivariable extrema and constrained optimisation
  • Classify two-variable critical points with the Hessian
  • Use Lagrange multipliers with a regular constraint
  • Compare extrema and attainable values under regular constraints
Hessian
The matrix of second partial derivatives used to study local curvature
Lagrange multiplier
A scalar relating objective and regular constraint gradients at a constrained extremum
C.7 · Coordinate changes and vector integral theorems
  • Transform double and triple integrals with their Jacobians
  • Apply Green, Stokes and divergence theorems with correct orientation
  • Check domain singularities before asserting path independence
divergence
The sum of a vector field's coordinate-wise partial derivatives measuring local outward flow
conservative field
A vector field equal to a scalar potential gradient with path-independent line integrals
T.6 · Functions, inverse branches and composition
  • Distinguish injectivity and surjectivity using the stated domain and codomain
  • Choose and verify an inverse branch by composing in both directions
  • Trace repeated function composition while preserving the domain
bijection
A function that is both injective and surjective between its specified sets
involution
A function whose composition with itself is the identity on its domain
T.7 · Set images, equivalence relations and logical negation
  • Prove image identities and distinguish inclusion from equality
  • Check reflexivity, symmetry and transitivity with explicit cases
  • Negate implications and quantified statements without changing their scope
preimage
The set of inputs whose outputs lie in a specified target set
equivalence relation
A relation that is reflexive, symmetric and transitive
T.8 · Conditioning, Bayesian inference and sampling error
  • Separate conditional, joint and independent-event probabilities
  • Calculate posterior probabilities with a complete base-rate table
  • Use variance and sample size to determine a sample mean standard error
posterior probability
A probability conditional on the observed evidence after accounting for prior proportions
standard error
The standard deviation of a statistic across repeated samples
T.9 · Similarity, scaling and conic distance loci
  • Match triangle vertices by equal angles before forming a side ratio
  • Apply length, area and volume scale factors to geometric changes
  • Identify conic distance conditions and retain a signed hyperbola branch
similarity
Equality of corresponding angles and a common ratio of corresponding lengths
focus
A fixed point used in a conic distance definition
C.8 · Trigonometric phase and parametric curves
  • Distinguish amplitude, angular frequency, phase angle and horizontal shift
  • Eliminate a parameter while retaining its domain and tracing direction
  • Use parametric derivatives without assuming a vertical tangent is stationary
phase angle
The angle offset inside a periodic function argument, defined modulo a full period
parametric curve
A curve whose coordinates are specified as functions of a shared parameter
T.10 · Vector geometry, projections and oriented area
  • Use dot products to classify angles and compute projections
  • Calculate triangle area and orientation using a cross product
  • Construct or rule out planar dot-product sign configurations
orthogonal
Having a zero dot product in a real inner-product space
cross product
An oriented perpendicular vector in three dimensions whose magnitude is spanned parallelogram area
C.9 · Integrating factors and nonhomogeneous differential equations
  • Solve first-order linear equations using an integrating factor
  • Construct the homogeneous and particular parts of a constant-coefficient solution
  • Handle resonance and verify the result in the original equation
integrating factor
A multiplier that turns a first-order linear equation into a product derivative
particular solution
One solution supplying the specified nonhomogeneous forcing
T.11 · Weak compositions, loop invariants and flowchart tracing
  • Count indistinguishable allocations with nonnegative or positive constraints
  • Trace a flowchart in statement order with correct reset behaviour
  • Use a loop invariant and a progress measure to justify an algorithm
weak composition
An ordered allocation of a total into nonnegative integer parts
loop invariant
A property preserved before and after each iteration of a loop
C.10 · Implicit differentiation and the inverse Jacobian
  • Differentiate a coupled implicit system as a linear system
  • Use a nonzero Jacobian determinant to justify a local inverse
  • Distinguish inverse partial derivatives from scalar reciprocal rules
Jacobian matrix
The matrix of first partial derivatives of a vector-valued map
local inverse
An inverse defined on neighbourhoods of a particular input and output point
A.7 · LU factorisation and nullity of composed maps
  • Solve a factored linear system by forward and backward substitution
  • Apply row permutations consistently when pivoting is required
  • Bound the kernel dimension of a composition using image-kernel intersections
forward substitution
Solving a lower triangular system from its first equation downward
nullity
The dimension of the kernel of a linear map
C.11 · Integration by parts, order reversal and symmetry
  • Derive integration-by-parts reductions with valid endpoint limits
  • Reverse a double integral by reconstructing its region
  • Use reflection symmetry while checking removable endpoint behaviour
integration by parts
An integration identity derived from the product rule with a boundary term
reflection symmetry
A relation between integrand values at points mirrored across an interval midpoint
C.12 · Related rates and removable quotient limits
  • Translate a geometric rate into a derivative of the relevant quantity
  • Derive and differentiate a spherical-cap volume formula
  • Separate continuous quotient extension from differentiable extension
related rate
A rate obtained by differentiating the relationship between changing quantities
removable limit
A finite nearby limit used to fill in a missing function value continuously
T.12 · Metric completeness and closure from a basis
  • Check a pullback metric using the properties of its defining map
  • Decide completeness through the image of an isometry
  • Determine closure using every basic neighbourhood instead of Euclidean intuition
complete metric space
A metric space in which every Cauchy sequence converges to a point of that space
neighbourhood basis
Basic neighbourhoods sufficient to test local topological properties

Preparing for this qualification · ⁨Préparation à cette qualification⁩

  • Approximately 66 multiple-choice items in 170 minutes; no separately timed sections. Calculus about 50%, algebra 25%, additional topics 25%. This is graduate-admissions testing of undergraduate mathematics, not an A-level qualification.

Teaching coverage still needed · ⁨Couverture pédagogique encore nécessaire⁩

  • Dedicated undergraduate lessons now supply exact teaching targets for all 66 reviewed GR3768 source items, including LU, integration methods, conjugacy, higher-order residues and alternative metrics/topologies. The source/key/crop review is in bank_review_full.yaml. Broader nonexhaustive official scope and complete-form original practice still require course audit; coordinator-owned native bank integration remains held. These preparation lessons do not certify undergraduate degree mastery.

Specifications and sample documents · ⁨Spécifications et documents d'échantillon⁩

Course materials · ⁨Matériel pédagogique⁩

Course preparation · ⁨Préparation du cours⁩

Documents are available. Board-specific notes, assessments and interactive past-paper practice are not yet available for every course. · ⁨Les documents sont disponibles. Les notes spécifiques au conseil, les évaluations et la pratique interactive des anciens sujets ne sont pas encore disponibles pour tous les cours.⁩

Lessons · ⁨Leçons⁩ →

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