EasyMarks is a leading UK provider of mathematics essay writing services. Our team of experienced academic writers holds advanced degrees in Mathematics and related fields, ensuring your essay meets the highest academic standards. We have helped thousands of students across UK universities achieve outstanding grades in their mathematics essays, from first-year assignments to final-year papers.
Why Choose EasyMarks for Mathematics Essay Help?
When it comes to mathematics essays, having a writer who understands the subject deeply makes all the difference. Our mathematics essay writers are specialists with postgraduate qualifications in Mathematics who stay current with the latest research.
We understand that every UK university has different marking criteria. That is why we match your mathematics essay with a writer who has specific experience with your university requirements. From Russell Group to post-92 universities, we deliver outstanding mathematics essays.
Our quality assurance includes review by a second academic, Turnitin plagiarism scanning, and formatting checks to ensure your mathematics essay is submission-ready.
How It Works
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Fill in your mathematics essay requirements including topic, word count, level, and deadline.
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Your writer conducts thorough research using academic databases and peer-reviewed sources.
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Plagiarism scanning, proofreading, and quality review before on-time delivery.
What You Get With Our Mathematics Essay Service
Expert UK Writers
Our mathematics writers hold verified Masters and PhD degrees from top UK universities.
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Every mathematics essay is written from scratch and scanned through Turnitin.
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What mathematics essays cover
Our mathematics writers work across the whole discipline and the methods and reasoning UK markers expect you to engage with:
| Pure mathematics | algebra, analysis, number theory and topology. |
| Calculus and analysis | limits, differentiation, integration and series. |
| Statistics and probability | distributions, inference and hypothesis testing. |
| Applied mathematics | mechanics, modelling and differential equations. |
| Discrete mathematics | logic, graph theory and combinatorics. |
| Linear algebra | matrices, vector spaces and transformations. |
| History and philosophy of mathematics | the development and foundations of the subject. |
How to write a first-class mathematics essay
Strong mathematics marks come from setting out clear, rigorous reasoning and worked justification, not just description. This is the structure UK markers reward:
- Introduction — define the key terms and state your line of argument.
- Set out the evidence — explain the relevant definitions, theorems and methods accurately and concisely.
- Apply and analyse — link directly to the exact question and to real examples.
- Evaluate critically — check the rigour of each step and state your assumptions. This is where most marks are won.
- Conclusion — reach a justified judgement that answers the question.
- References — a complete Harvard or a numeric style reference list, with every claim cited.
Send us your title and marking criteria and we will produce a model essay that shows exactly this.
Frequently Asked Questions
Prices start from 6.99 per page. The final price depends on academic level, word count, and deadline.
A writer with a verified degree in Mathematics or related field. All UK-based with at least a Masters degree.
Yes, urgent delivery from 24 hours. Rush orders are assigned to our most experienced mathematics writers.
256-bit SSL encryption. We never share your personal details with third parties.
Harvard, APA, MLA, Chicago, OSCOLA, Vancouver, and any other style your university requires.
Explain the relevant definitions, theorems and methods, apply them to the exact question, and critically evaluate the rigour of the argument and any assumptions rather than just describing. Our writers can produce a model essay that shows exactly this.
Most UK mathematics courses use Harvard or a numeric style. We follow your department’s exact style, with every source cited and a complete reference list.
All of them, including pure mathematics, calculus and analysis, statistics and probability, applied mathematics, discrete mathematics, linear algebra, history and philosophy of mathematics.
What UK Students Say About Mathematics Essays
★★★★★
"My essay on Gödel's Incompleteness Theorems required explaining the construction of the Gödel sentence, critically analysing the implications for Hilbert's programme to axiomatise all mathematics, evaluating Lucas and Penrose's controversial arguments that incompleteness proves human minds transcend Turing machines (Penrose — The Emperor's New Mind), and assessing counter-arguments from computationalist philosophers. EasyMarks delivered the philosophical depth my Cambridge Part III essay required."
— MMath Mathematics, University of Cambridge
★★★★★
"Writing about the history of calculus required tracing Newton's fluxions and Leibniz's differentials, analysing the bitter priority dispute and its impact on British mathematics (isolation from continental developments), evaluating Berkeley's critique of infinitesimals (The Analyst 1734 — ghosts of departed quantities), and explaining how Robinson's non-standard analysis (1966) finally vindicated infinitesimals rigorously. EasyMarks produced exactly the historical depth my Oxford history of mathematics essay required."
— BA Mathematics, University of Oxford
★★★★★
"My cryptography essay required explaining RSA encryption's mathematical foundations (Euler's theorem; the difficulty of integer factorisation; the relationship between RSA and the factoring problem), evaluating why P vs NP resolution would break RSA, analysing quantum computing threats (Shor's algorithm — polynomial-time factoring on a quantum computer) and post-quantum cryptography responses (NIST PQC standardisation — CRYSTALS-Kyber; CRYSTALS-Dilithium). EasyMarks combined the pure and applied mathematics my Warwick essay required."
— BSc Mathematics, University of Warwick
Common Mathematics Essay Challenges
Pure Mathematics
Number theory: prime numbers and the Riemann Hypothesis (Riemann Zeta function ζ(s) — non-trivial zeros; Riemann (1859) — Ãœber die Anzahl der Primzahlen unter einer gegebenen Größe; Prime Number Theorem — Hadamard and de la Vallée Poussin 1896 — Ï€(x) ~ x/ln(x); Goldbach's Conjecture; Twin Prime Conjecture — Yitang Zhang breakthrough 2013 — bounded prime gaps; the Clay Millennium Problem status of RH). Abstract algebra: groups (group axioms — closure; associativity; identity; inverse; Lagrange's Theorem; Cayley's Theorem — every group is isomorphic to a permutation group; Sylow's Theorems; simple groups; Classification of Finite Simple Groups — the Monster group); rings and fields (polynomial rings; ideals; quotient rings; Galois Theory — Galois (1832) — solvability of polynomial equations by radicals; impossibility proofs for classical construction problems). Topology: metric spaces; continuity; compactness; connectedness; topological invariants; Euler characteristic (χ = V − E + F); fundamental group (Ï€â‚); Brouwer Fixed Point Theorem; Poincaré Conjecture (Perelman 2003 — Ricci flow with surgery — Clay Millennium Prize). Real analysis: epsilon-delta definition of limits (Weierstrass formalisation); construction of reals (Dedekind cuts; Cauchy sequences); measure theory (Lebesgue measure; Lebesgue integral — integrable functions not Riemann-integrable; Cantor set — uncountable with measure zero). Complex analysis: Cauchy-Riemann equations; contour integration; residue theorem; conformal mappings; Riemann surfaces.
Applied Mathematics and Modelling
Differential equations: ODEs (first-order — separable; integrating factor; exact; Bernoulli; second-order linear — characteristic equation; particular integral; Wronskian; resonance phenomena); PDEs (classification — elliptic/parabolic/hyperbolic; heat equation — Fourier's law; wave equation — d'Alembert solution; Laplace equation; separation of variables; Fourier series; Sturm-Liouville theory). Numerical methods: numerical integration (Newton-Cotes — trapezoid; Simpson's rule; Gaussian quadrature — optimal node placement for polynomial degree); root-finding (bisection; Newton-Raphson — quadratic convergence; secant method — superlinear convergence); ODE solvers (Euler method — O(h) accuracy; Runge-Kutta 4th order — O(hâ´) accuracy; stiff equations — implicit methods — backward Euler; Crank-Nicolson). Mathematical modelling: epidemic models (Kermack-McKendrick SIR model 1927 — S(t); I(t); R(t); basic reproduction number Râ‚€; herd immunity threshold 1−1/Râ‚€; COVID-19 modelling — SAGE; SPI-M; Imperial College Ferguson model; limitations — homogeneous mixing assumption; compartmental model extensions SEIR; age-structured); fluid dynamics (Navier-Stokes equations — Clay Millennium Problem — existence and smoothness of solutions; Reynolds number — laminar vs turbulent flow; Bernoulli's principle). Chaos theory: logistic map (xₙ₊₠= rxâ‚™(1−xâ‚™) — period doubling; Feigenbaum constant δ ≈ 4.669; sensitivity to initial conditions — butterfly effect); strange attractors (Lorenz attractor 1963 — weather prediction limitations); fractal geometry (Mandelbrot set — self-similarity; fractal dimension — Hausdorff dimension). Optimisation: linear programming (simplex method — Dantzig 1947; duality — Farkas' lemma); convex optimisation (KKT conditions; gradient descent variants — stochastic gradient descent; Adam — machine learning applications); integer programming (branch and bound; cutting planes).
Statistics and Probability
Probability foundations: measure-theoretic probability (Kolmogorov axioms 1933 — probability space (Ω, F, P); sigma-algebra; measurable functions; random variables as measurable functions; Borel sets); key theorems (Law of Large Numbers — weak LLN: convergence in probability; strong LLN: almost sure convergence; Central Limit Theorem — conditions; Berry-Esseen theorem — rate of convergence; moment generating functions). Bayesian vs frequentist debate: frequentist (Neyman-Pearson hypothesis testing — null and alternative hypotheses; Type I/II errors; significance level α; p-value — Wasserstein et al. 2019 ASA statement on p-values; confidence intervals — frequentist interpretation); Bayesian (prior distribution; likelihood; posterior — Bayes' theorem; conjugate priors — Beta-Binomial; Gamma-Poisson; credible intervals vs confidence intervals; Bayesian model comparison — Bayes factor). Regression and statistical learning: OLS (Gauss-Markov theorem — BLUE estimator; assumptions — linearity; independence; homoscedasticity; normality of errors; multicollinearity diagnosis — VIF; heteroscedasticity — White test; robust standard errors); regularisation (Ridge — L2 penalty — shrinks towards zero; Lasso — L1 penalty — variable selection; Elastic Net — combination; bias-variance trade-off). Replication crisis: significance threshold critique (Ioannidis 2005 — Why Most Published Research Findings are False; publication bias; p-hacking; HARKing — Hypothesising After Results Known; open science solutions — pre-registration; registered reports; effect size reporting — Cohen's d; statistical power; sample size planning).
Foundations and Philosophy of Mathematics
Mathematical logic: propositional logic (truth tables; tautologies; logical equivalences; normal forms — CNF; DNF); predicate logic (quantifiers ∀∃; first-order logic; models; satisfiability; Löwenheim-Skolem theorems — any first-order theory with an infinite model has models of every infinite cardinality — Skolem's paradox). Set theory: Cantor (1874 — Ãœber eine Eigenschaft des Inbegriffes aller reellen algebraischen Zahlen — first uncountability proof; 1891 — diagonal argument; cardinal arithmetic — aleph numbers ℵ₀, ℵâ‚; continuum hypothesis — ℵ₠= 2^ℵ₀ — Gödel (1938) consistency with ZFC; Cohen (1963) independence from ZFC — forcing technique — Paul Cohen); ZFC axioms (Zermelo-Fraenkel + Axiom of Choice — Banach-Tarski paradox — Axiom of Choice non-constructive consequences; Axiom of Determinacy alternative; large cardinals). Foundations crisis and resolution: Russell's Paradox (1901 — {x : x ∉ x}; naïve set theory contradiction); Hilbert's Programme (1920s — formalise all mathematics; prove consistency and completeness); Gödel's Incompleteness Theorems (First: any consistent formal system strong enough to express arithmetic is incomplete — there exist true statements unprovable within the system; Second: such a system cannot prove its own consistency). Mathematical truth: Platonism (mathematical objects exist independently of minds — Hardy's view; Gödel's platonism — rational intuition of abstract objects); formalism (Hilbert — mathematics = symbol manipulation; no inherent meaning); intuitionism (Brouwer — mathematics = mental constructions; proof must be constructive; law of excluded middle rejected; Heyting formal intuitionist logic); structuralism (Benacerraf 1973 — mathematical objects have no intrinsic properties; only structural relations matter; eliminative vs non-eliminative structuralism).
Discrete Mathematics and Algorithms
Graph theory: Euler and Hamiltonian paths (Seven Bridges of Königsberg 1736 — Euler; Eulerian circuits — degree condition; Hamiltonian cycle — no polynomial characterisation known; travelling salesman problem — NP-hard; Dirac's theorem; Ore's theorem); graph colouring (Four Colour Theorem — Appel and Haken 1976 — first major computer-assisted proof — philosophical implications for proof status; chromatic number; Chromatic Polynomial); planar graphs (Kuratowski's theorem — K₃,₃ and K₅ as non-planar minors; Euler's formula V − E + F = 2; dual graph); network flows (max-flow min-cut theorem — Ford-Fulkerson; augmenting paths; Menger's theorem). Combinatorics: counting principles (inclusion-exclusion principle; pigeonhole principle; Ramsey Theory — R(3,3)=6 — any 2-colouring of K₆ contains a monochromatic triangle; Ramsey numbers — R(5,5) unknown); generating functions (ordinary and exponential; Fibonacci recurrence solution; partition function — Hardy-Ramanujan asymptotic formula). Cryptography and number theory: RSA (Rivest, Shamir, Adleman 1978 — key generation; encryption e; decryption d; ed ≡ 1 mod φ(n); Euler's theorem proof; security based on hardness of factoring n = pq); elliptic curve cryptography (group law on elliptic curves; discrete logarithm problem on EC; ECDSA — Elliptic Curve Digital Signature Algorithm; smaller key sizes vs RSA). Computability: Turing machines (deterministic; non-deterministic; universal Turing machine; Church-Turing thesis); decidability (halting problem — undecidable; Rice's theorem; Post correspondence problem); complexity classes (P; NP; NP-complete — Cook-Levin theorem — SAT is NP-complete; NP-hard; co-NP; PSPACE; EXPTIME; P vs NP — Clay Millennium Problem — £1M prize).
Mathematics Education and History
History of mathematics: ancient (Babylonian mathematics — sexagesimal system; Plimpton 322 tablet — Pythagorean triples; Egyptian fractions; Greek — Euclidean geometry — Elements — axiomatic method; Archimedes — method of exhaustion — precursor to calculus; Eratosthenes — Sieve of Primes; Sieve of Eratosthenes); Islamic Golden Age (al-Khwarizmi — al-KitÄb al-mukhtaá¹£ar fÄ« ḥisÄb al-jabr — algebra — 830 CE; al-Biruni — trigonometry; Omar Khayyam — cubic equations; Fibonacci — Liber Abaci 1202 — introduction of Hindu-Arabic numerals to Europe); Scientific Revolution (Descartes — Cartesian coordinates; Fermat — analytic geometry and probability; Newton and Leibniz — calculus controversy; Euler — prolific contributions — Euler's identity e^(iÏ€)+1=0). Mathematics education: constructivist approaches (Piaget — schema development; accommodation; assimilation; Vygotsky — Zone of Proximal Development applied to mathematics — scaffolding; peer collaboration); problem-solving (Pólya — How to Solve It 1945 — understand; plan; carry out; look back; heuristics — working backwards; special cases; induction); STEM policy (UK mathematics education — Ofsted Mathematics Report 2023; maths mastery approach — Shanghai method; NCETM — National Centre for Excellence in the Teaching of Mathematics; A-level mathematics uptake — DfE statistics; Core Maths — post-16 qualification). Women in mathematics: Emmy Noether (abstract algebra — Noether's theorem — fundamental to modern physics); Florence Nightingale (statistical graphics — polar area diagrams); Maryam Mirzakhani (first female Fields Medal 2014 — surfaces and Riemann surfaces); Ada Lovelace (first computer algorithm); Katherine Johnson (NASA orbital mechanics calculations). Clay Millennium Problems: Yang-Mills and Mass Gap; Riemann Hypothesis; P vs NP; Navier-Stokes Existence and Smoothness; Hodge Conjecture; Birch and Swinnerton-Dyer Conjecture; Poincaré Conjecture (solved — Perelman 2003).
Mathematics Essay Help — FAQs
Mathematics essays differ from mathematics problem sheets: the goal is to communicate mathematical ideas clearly in prose, not just to solve problems correctly. Structure: (1) Introduction — state the mathematical topic clearly; give historical context if relevant; outline the essay's argument and structure; state any key definitions you will use. (2) Main body — present mathematical content in a logical sequence; use correct formal notation but explain what notation means; prove claims or reference proofs; give examples to illustrate abstract concepts; evaluate competing approaches or interpretations. (3) Conclusion — summarise the key mathematical ideas; assess open questions or limitations; suggest further directions. Proof writing: structure proofs clearly (statement — proof — ∎ or QED); identify the proof method (direct proof; proof by contradiction — assume ¬P, derive ⊥; proof by induction — base case; inductive step; strong induction; proof by contrapositive; constructive proof vs non-constructive existence proof); be explicit about the logical steps; cite theorems you apply. Critical analysis: evaluate mathematical approaches; compare different proofs of the same result (shortest proof; most elegant; most generalisable; most constructive); assess historical significance; link to broader mathematical structures. Common mistakes: excessive formalism without explanation; insufficient rigour (hand-waving at key steps); not explaining the intuition behind formal constructions; ignoring the history and context; no conclusion beyond problem-sheet "answer". Style: Hardy (A Mathematician's Apology) — mathematical beauty; elegance; inevitability — use these as criteria for evaluation.
Top UK Mathematics departments: University of Cambridge (Mathematical Tripos — Part IA, IB, II, III; regarded as the world's most challenging mathematics degree; 80+ Fields Medallists and Abel Prize winners associated; Part III MMath — gateway to research; DPMMS — Department of Pure Mathematics and Mathematical Statistics; DAMTP — Department of Applied Mathematics and Theoretical Physics). University of Oxford (BA/MMath Mathematics; Mathematics and Statistics; Mathematics and Computer Science; Mathematics and Philosophy; Maths and Physics; 4-year MMath; Mathematical Institute — research strengths across all areas; Andrew Wiles — Fermat's Last Theorem). University of Warwick (BSc/MMath Mathematics; strong in algebraic geometry; dynamical systems; number theory; research-intensive). Imperial College London (BSc/MEng Mathematics; strong applied mathematics and mathematical physics; connections to engineering; Maths and Computer Science — strong career prospects). University of Edinburgh (BSc/MMath Mathematics; strong in mathematical physics; geometry; algebra). University of Bristol (BSc/MMath Mathematics; strong number theory — Bristol number theory group; quantum chaos). University of Bath (BSc Mathematics; strong applied mathematics; statistical sciences; mathematical biology). London: UCL (BSc/MSci Mathematics; strong research; London Mathematical Society headquarters); King's College London (BSc Mathematics; mathematical physics strengths). Rankings sources: Times Good University Guide; Complete University Guide; QS subject rankings; REF 2021 research excellence (GPA scores; research power). Graduate Mathematics: EPSRC CDT (Centres for Doctoral Training) — funded PhD routes; London Mathematical Society bursaries; Graduate Teaching Assistantships.
Explaining mathematics clearly: (1) Motivation before formalism — explain why a concept is interesting or useful before giving the formal definition; for Lebesgue integration: start with the inadequacy of Riemann integration (functions that are not Riemann-integrable but should have a well-defined integral; pointwise limit of Riemann-integrable functions may not be Riemann-integrable — failure of dominated convergence under Riemann), then introduce measure theory. (2) Layered formalism — give an informal description; then a semi-formal version; then the full rigorous definition; this allows readers at different levels to follow. (3) Examples and counterexamples — abstract definitions become meaningful through examples; the Cantor set is a crucial counterexample (closed; uncountable; measure zero; no interior points; perfect set); Weierstrass function (continuous everywhere; differentiable nowhere — counterexample to intuition that continuous implies almost-everywhere differentiable). (4) Diagrams — for geometry; topology; graph theory; differential equations — a well-chosen diagram can convey what paragraphs cannot; label diagrams carefully; reference them from the text. (5) Historical narrative — tracing how a concept developed helps explain why it is defined the way it is; the historical route to a definition often reveals its logical necessity better than axiomatic presentation. (6) Analogies — for very abstract algebra: group actions on sets can be explained by analogy with symmetry operations on a Rubik's Cube; topological spaces as generalisations of metric spaces. (7) Signposting — in a long proof or argument, tell the reader where you are going before you get there and summarise where you have arrived after each major step.
Philosophy of mathematics essay framework: core questions — (1) Ontology: do mathematical objects exist? (mathematical Platonism vs nominalism); (2) Epistemology: how do we acquire mathematical knowledge? (a priori vs a posteriori; mathematical intuition); (3) Semantics: what do mathematical statements mean?; (4) Applicability: why is mathematics unreasonably effective in science? (Wigner 1960 — The Unreasonable Effectiveness of Mathematics in the Natural Sciences). Major positions: Platonism — mathematical objects (numbers; sets; functions) exist independently of minds in an abstract realm; they are discovered not invented; Gödel's platonism — rational intuition perceives mathematical structures; Hardy's view. Objections: Benacerraf's epistemological challenge (1973 — Mathematical Truth — if mathematical objects are abstract and causally inert, how can we have knowledge of them?); Formalism — Hilbert — mathematics is a formal game of symbol manipulation according to rules; mathematical statements have no inherent meaning; Gödel's incompleteness theorems undermined Hilbert's programme. Intuitionism — Brouwer — mathematics is a mental activity; mathematical objects are constructions; the law of excluded middle (P ∨ ¬P) is not universally valid; only constructive proofs are acceptable; implications — some classical results invalid (Bolzano-Weierstrass in full generality; non-constructive existence proofs). Structuralism — Benacerraf (1973 — What Numbers Could Not Be — different set-theoretic implementations of arithmetic are equally valid; numbers have no intrinsic properties); Shapiro (2000 — Thinking About Mathematics) — places in structures. Fictionalism — Field (1980 — Science Without Numbers — mathematics is useful fiction; applications to science do not require mathematical objects to exist; nominalisation programme). Write critically: engage with objections to each position; apply the positions to specific mathematical examples; do not just list positions — evaluate them.
Mathematics referencing: Mathematics essays typically use numbered references in brackets [1], [2] rather than Harvard author-date style (though some departments require Harvard — check your guidelines). Example numbered format: [1] G.H. Hardy, A Mathematician's Apology, Cambridge University Press, Cambridge, 1940. [2] K. Gödel, 'Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme I', Monatshefte für Mathematik und Physik, 38 (1931), 173–198. [3] A.M. Turing, 'On computable numbers, with an application to the Entscheidungsproblem', Proceedings of the London Mathematical Society, 42 (1937), 230–265. Key mathematics journals: Annals of Mathematics (Princeton — most prestigious); Inventiones Mathematicae (Springer); Journal of the American Mathematical Society (JAMS); Acta Mathematica; Proceedings of the London Mathematical Society (PLMS — UK); Bulletin of the London Mathematical Society; Journal of the London Mathematical Society. Online resources: arXiv.org (preprints — mathematics section — math.NT; math.AG; math.AP etc.); JSTOR; MathSciNet (AMS); zbMATH. Classic texts: Euclid's Elements; Newton's Principia Mathematica (1687); Gauss's Disquisitiones Arithmeticae (1801); Riemann (1854 — Habilitationsschrift — Riemannian geometry). Philosophy of mathematics: Stewart Shapiro (ed.) The Oxford Handbook of Philosophy of Mathematics and Logic (2005 — Oxford); Paul Benacerraf and Hilary Putnam (eds.) Philosophy of Mathematics: Selected Readings (1983 — Cambridge). Avoid: citing Wikipedia as a reference (may use for background orientation); using popular science books as primary academic references without additional peer-reviewed sources.
Clay Mathematics Institute Millennium Prize Problems (2000 — seven problems; $1 million each): (1) Riemann Hypothesis — all non-trivial zeros of the Riemann Zeta function ζ(s) have real part 1/2; implications for prime number distribution; equivalent formulations; partial results (zero-free regions; proportion of zeros on critical line — Levinson 1974 — at least 1/3; Conrey 1989 — at least 2/5; conditional results under RH); status: UNSOLVED. (2) P vs NP — does every problem whose solution can be verified in polynomial time also have a polynomial-time solution algorithm? Cook-Levin theorem — SAT is NP-complete; NP-complete problems (3-SAT; graph colouring; TSP decision version; subset sum; knapsack); practical implications of P=NP (cryptography collapse; optimisation breakthroughs); expert consensus — P ≠NP but no proof; status: UNSOLVED. (3) Navier-Stokes Existence and Smoothness — do smooth solutions to the Navier-Stokes equations exist for all time, or can singularities (blow-up) develop? Significance for fluid dynamics and turbulence theory; status: UNSOLVED. (4) Yang-Mills and Mass Gap — prove existence of a Yang-Mills quantum field theory and a positive mass gap; significance for the Standard Model of particle physics; status: UNSOLVED. (5) Hodge Conjecture — certain cohomology classes on algebraic varieties are algebraic; deep intersection of algebraic geometry and topology; status: UNSOLVED. (6) Birch and Swinnerton-Dyer Conjecture — rank of elliptic curves can be determined from its L-function; connections to number theory; Wiles proved Fermat as side-effect of modularity theorem (related); status: UNSOLVED. (7) Poincaré Conjecture — every simply connected closed 3-manifold is homeomorphic to the 3-sphere; status: SOLVED (Perelman 2003 — declined $1M and Fields Medal).
Related Subject Areas
Mathematics — Pure, Applied, Statistics, Mathematical Finance
UK mathematics modules at Oxford, Cambridge, Imperial, Warwick and Bath expect rigorous proofs, correct LaTeX typesetting, and engagement with named theorems. Writers hold MSc/PhD with publications in Journal of the LMS or Bulletin of the AMS — 1,900+ assignments since 2007.
Assignment Types
- Pure — analysis, algebra, topology, number theory in LaTeX
- Applied — ODEs, PDEs, numerical methods, fluid dynamics
- Statistics — Bayesian inference, MCMC, time-series
- Mathematical finance — Black-Scholes, Itô calculus, Greeks
- Operational research — LP, IP, queuing, simulation
Foundational Texts UK Markers Expect
- Rudin — Principles of Mathematical Analysis
- Hatcher — Algebraic Topology
- Casella & Berger — Statistical Inference
- Hartshorne — Algebraic Geometry
- Royden & Fitzpatrick — Real Analysis
FAQ
LaTeX with proof environments and TikZ?
Yes — compiled PDFs and .tex source using amsmath, amsthm, tikz-cd, BibTeX.
MATLAB, R, Python, Mathematica?
Yes — numerical experiments with annotated reproducible code and embedded figures.
Proofs at PhD-prelim level?
Yes — writers passed UK CDT cohort exams and US qualifying exams.
