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Mathematics Lab

Calculation, visualisation, proof study, problem solving, applied modelling এবং research preparation-এর জন্য একটি browser-based workspace।

Technology ও privacy: calculation, equation solving এবং progress record আপনার browser-এই localভাবে চলে। PDF export-এর জন্য cdnjs থেকে version-pinned html2pdf.js library load হয়; আপনার equation বা ব্যক্তিগত input কোনো calculation API-তে পাঠানো হয় না।

🧮 Calculators

Quadratic, derivative, integral, statistics, matrix, finance and risk tools.

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📈 Visualisation

Local function graphing and a trigonometric geometry visualiser.

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🧠 Problem Bank

Foundation through professional practice with solutions.

Practice →

📖 Theorem & Proof Library

Core statements, hypotheses and proof sketches.

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💼 Applied Projects

Finance, risk, AI/ML, engineering, cryptography and optimisation.

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🔬 Research Hub

Research workflow, reproducibility and open-question exercises.

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🧮 Calculators & Solvers

Values দিন।

🧠 Solution Logic

🧑‍🏫 Equation Tutor — অংক দিন, পদ্ধতি শিখুন

একটি equation লিখুন—যেমন 3x+5=20, x^2-5x+6=0 বা 2(x+3)=14। Tutor equation-এর structure বুঝে method নির্বাচন করবে, calculation দেখাবে, answer দেবে এবং verify করবে।

Equation লিখে Solve & Teach চাপুন।

📈 Function & Geometry Visualiser

45°
🧠 Graph/Geometry Logic
  1. Represent: choose the function or angle and define the coordinate/triangle model.
  2. Compute: evaluate the selected function across x-values or calculate sin, cos and tan from θ.
  3. Visualise: map numerical values to canvas coordinates and draw axes and the curve.
  4. Interpret: connect the graph/ratio to the underlying mathematical relationship.
  5. Verify: compare behaviour with known properties such as symmetry, periodicity or domain restrictions.

🧠 Practice Studio — Problems, Logic & Self-Check

International Mathematics Practice Framework

প্রতিটি worked solution-এ এই reasoning chain অনুসরণ করা হবে:

  1. Understand — কী দেওয়া আছে এবং কী বের করতে হবে নির্ধারণ করুন।
  2. Represent — equation, diagram, table, graph বা symbols-এ problem প্রকাশ করুন।
  3. Plan — উপযুক্ত theorem, formula, algorithm বা strategy নির্বাচন করুন।
  4. Execute — প্রতিটি algebraic/computational step স্পষ্টভাবে সম্পন্ন করুন।
  5. Justify — কেন ওই formula বা transformation ব্যবহার করা হলো তা ব্যাখ্যা করুন।
  6. Verify — substitution, units, bounds, alternative method বা reasonableness check করুন।
  7. Reflect — ফলটি কী বোঝায় এবং একই method অন্য problem-এ কীভাবে ব্যবহার হবে তা দেখুন।
এই কাঠামো problem solving, reasoning/proof, communication, representation, tool use এবং precision-এর আন্তর্জাতিকভাবে ব্যবহৃত mathematical-practice principles-এর সঙ্গে সামঞ্জস্যপূর্ণ।

📖 Theorem & Proof Library

Pythagorean Theorem

Statement: In a right triangle, a²+b²=c².

Proof sketch: Compare the area of a square of side a+b with four copies of the triangle; expanding both expressions yields the identity.

Fundamental Theorem of Arithmetic

Statement: Every integer greater than 1 has a unique prime factorisation, apart from ordering.

Proof sketch: Existence follows by repeated factorisation; uniqueness follows from Euclid's lemma.

Intermediate Value Theorem

Statement: A continuous function on [a,b] attains every value between f(a) and f(b).

Proof sketch: Use the supremum of the set where f is below the target and continuity at the boundary point.

Mean Value Theorem

Statement: If f is continuous on [a,b] and differentiable on (a,b), some c has f′(c)=(f(b)−f(a))/(b−a).

Proof sketch: Subtract the secant line and apply Rolle's theorem.

Bayes' Theorem

Statement: P(A|B)=P(B|A)P(A)/P(B), P(B)>0.

Proof sketch: Express P(A∩B) in two conditional forms and equate them.

Rank–Nullity Theorem

Statement: dim(V)=rank(T)+nullity(T) for a linear map on finite-dimensional V.

Proof sketch: Extend a basis of ker(T) to a basis of V; images of the added vectors form a basis of im(T).

💼 Professional & Applied Projects

Finance — Discounted Cash Flow

Build a cash-flow table, apply PV=FV/(1+r)^n, then test sensitivity to r and timing.

Risk — Expected Loss

For PD=2%, LGD=40%, EAD=500,000 calculate EL=PD×LGD×EAD and vary one input at a time.

AI/ML — Gradient Descent

For J(θ)=(θ−3)² use θₜ₊₁=θₜ−η∇J(θₜ); compare learning rates.

Engineering — Exponential Model

Use y(t)=y₀e^{kt}; estimate k from two observations and inspect residuals.

Cryptography — Modular Arithmetic

Compute congruences and modular inverses; explain why coprimality controls invertibility.

Optimisation — Linear Programming

Define an objective and resource constraints, then inspect feasible solutions and boundary cases.

🔬 Research Hub

Workflow: Question → Definitions → Literature map → Hypothesis/Conjecture → Method → Computation → Validation → Limitations → Reproducible record.
Open-question exercises: investigate prime-gap patterns; test sequence convergence; compare numerical methods for one differential equation; vary constraints in an optimisation model.
Reproducibility checklist: record inputs, formulae, parameters, units, software/version, tolerance, random seed where relevant, expected result and observed result.
Starting points: arXiv · AMS journals · SIAM publications.
Live feeds, cloud notebooks, MATLAB/Mathematica execution and discussion forums are not connected because they require external services/API or persistent backend connectivity.

📊 Local Mathematics Dashboard

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Course progress existing course storage-এ থাকে; Lab আলাদা local record রাখে।

🤖 Local Mathematics Study Assistant

এটি rule-based ও dependency-free; এটি AI/API service নয়।

🎓 Micro-Lessons, Computation & Academic Workshops

▶ Animated Concept Explorer

একটি point y=x² বরাবর চলার local animation দেখুন। এটি coordinate, slope এবং function shape-এর সম্পর্ক বুঝতে সাহায্য করবে।

💻 Computation Starter Shelf

API ছাড়া Python/NumPy/SymPy, MATLAB এবং Mathematica-এর starter snippets। Copy করে নিজের environment-এ run করুন।

Python: import sympy as sp; x=sp.symbols('x'); sp.diff(x**3-2*x,x)
NumPy: import numpy as np; np.linalg.det(np.array([[2,1],[3,4]]))
MATLAB: det([2 1; 3 4])
Mathematica: Det[{{2,1},{3,4}}]

📚 Reference Shelf

Study reference: OpenStax Calculus; Linear Algebra, Probability, Real Analysis এবং Abstract Algebra-এর standard undergraduate texts; advanced study-এর জন্য AMS ও SIAM publications।

🎤 Seminar Track

Self-run seminar sequence: Mathematical Modelling → Numerical Methods → Probability & Risk → AI/ML Mathematics → Cryptography → Research Reproducibility।

🛠 Workshop Track

Workshop sequence: Formula Derivation → Proof Writing → Graph Interpretation → Computational Experiment → Case Study → Research Presentation।

📝 Mathematical Writing

Definition, theorem statement, proof structure, assumptions, notation, citation এবং reproducible computational notes-এর practice করুন।