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Student working through polynomial algebra and inequalities
Special Courses Rs 900 / session

Algebra: Basic to Advanced

EG

EduGlobal Masterclass

1-on-1 Remote Mentorship

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For
Class 9 - Undergraduate
Level
Beginner to Advanced
Duration
24 weeks
Each week
4 hours
Batch
Group class, maximum 8 students
Mode
Online

The course the rest of the series rests on

Algebra is the load-bearing subject. Number theory uses its manipulation on every line, combinatorics borrows its generating functions, probability depends on its series work, and the linear algebra at the end is the prerequisite for anything quantitative that follows.

This course runs from factorisation and quadratics through polynomials, functional equations and inequalities to groups, rings, fields and linear algebra.

Fluency is not the same as knowledge

Parents often ask whether a child who is good at school algebra needs the basic stage. The answer usually turns on speed rather than knowledge.

School algebra tests whether a taught method has been learned. Competition and university algebra assume manipulation is automatic and put the difficulty somewhere else entirely. A student who is reliably correct but deliberate finds the intermediate units heavy going — not because the ideas are beyond them, but because every line of working costs attention they need for the actual problem.

For such students the basic stage is short. It is rarely wasted.

Functional equations are learnable

These have a reputation for requiring inspiration, and that reputation is mostly wrong.

What they require is a repertoire: substitute particular values, test whether the function must be injective or surjective, look for fixed points, exploit symmetry, guess a form and verify it. Cauchy's functional equation and its pathological solutions are worth knowing for their own sake. Once a student has these moves and has used each a dozen times, most competition functional equations reduce to trying them in a sensible order.

The students who find these impossible are almost always the ones who have never been shown that a method exists.

Inequalities, with an order of attack

Inequalities recur constantly and students approach them without a plan, trying whatever they remember until something works.

We teach AM-GM, Cauchy-Schwarz, rearrangement, Chebyshev's sum inequality, power mean and Jensen as a toolkit with a stated order: what to try first, how to recognise the shape of a problem that suits Cauchy-Schwarz rather than AM-GM, when the real content is convexity. That ordering is most of the skill, and it is teachable in a way that "be clever" is not.

Polynomials, properly

The remainder and factor theorems, roots and multiplicity, Vieta's formulas, symmetric functions of roots, the rational root theorem, complex roots in conjugate pairs.

Vieta in particular is undervalued in school teaching: a great many problems that look as though they need the roots explicitly only need symmetric functions of them, and a student who sees that saves themselves an afternoon.

Why abstraction arrives last

Groups, rings and fields are placed at the end deliberately. They are not needed for most competitions, and introducing them early makes them look like arbitrary rules.

Taken after a student has worked modular arithmetic, roots of unity and polynomial structure, they land differently: the abstraction explains things the student has already noticed. Lagrange's theorem makes sense of orders in number theory; field structure explains which equations are solvable. Students heading for an undergraduate mathematics degree should do this stage; others can stop before it without loss.

The bridge into linear algebra

The final unit — vector spaces, span, independence, basis and dimension, linear maps and matrices, determinants, eigenvalues and the rank-nullity theorem — is the single most useful thing in the course for anyone continuing into a quantitative degree.

It is also the prerequisite for the Advanced Maths for Research course, where eigen theory and convex optimisation start immediately and assume all of it.

Who this suits

Students from Class 9 upward through undergraduate study. The course rebuilds the foundations before extending them, so a student who is shaky can start here; a strong student moves through the basic stage quickly.

Classes are live and online in groups of at most eight, with written work corrected individually.

What students will be able to do

  • Manipulate algebraic expressions fast enough that technique stops being the obstacle
  • Work with polynomials properly: roots, Vieta's formulas, the remainder and factor theorems, symmetric functions
  • Solve functional equations, which reward method rather than inspiration once the standard moves are known
  • Apply the inequality toolkit: AM-GM, Cauchy-Schwarz, Jensen, rearrangement and power mean
  • Handle sequences, series and recurrences including characteristic equations and generating functions
  • Understand what a group, ring and field are, and why the abstraction earns its keep
  • Connect school algebra to the linear algebra that every quantitative degree assumes

Course structure

  1. BASIC 1: Expressions and factorisation
    Expansion and factorisation; algebraic identities; surds and indices; rational expressions. Worked to fluency, because every later unit assumes manipulation is not the difficulty.
  2. BASIC 2: Equations and inequalities
    Linear and quadratic equations; the discriminant; simultaneous equations; linear and quadratic inequalities; absolute value equations and inequalities.
  3. BASIC 3: Functions and graphs
    Domain and range; composite and inverse functions; transformations; linear, quadratic, polynomial, rational and exponential graphs; reading a function from its graph and the reverse.
  4. INTERMEDIATE 1: Polynomials
    The remainder and factor theorems; polynomial division; roots and their multiplicity; Vieta's formulas; symmetric functions of roots; the rational root theorem; complex roots in conjugate pairs.
  5. INTERMEDIATE 2: Sequences, series and recurrences
    Arithmetic and geometric progressions; telescoping; linear recurrences with constant coefficients; characteristic equations; an introduction to generating functions.
  6. INTERMEDIATE 3: Inequalities
    AM-GM in full generality; Cauchy-Schwarz; the rearrangement inequality; Chebyshev's sum inequality; power mean; Jensen and convexity. Taught as a toolkit with a stated order of attack rather than as isolated results.
  7. INTERMEDIATE 4: Functional equations
    Substitution strategies; injectivity and surjectivity arguments; Cauchy's functional equation and its pathologies; symmetry; fixed points. The standard moves, so that these stop requiring inspiration.
  8. ADVANCED 1: Complex numbers and roots of unity
    The complex plane; modulus-argument form; de Moivre's theorem; roots of unity and their sum; applications to trigonometric identities and to geometry.
  9. ADVANCED 2: Introduction to abstract algebra
    Groups, subgroups and cyclic groups; Lagrange's theorem; homomorphisms; rings and fields; why the abstraction pays, shown on problems already met in earlier units.
  10. ADVANCED 3: Linear algebra foundations
    Vector spaces, span, independence, basis and dimension; linear maps and matrices; determinants; eigenvalues and eigenvectors; the rank-nullity theorem. The bridge into every quantitative degree.

Who this is for

Comfortable arithmetic and basic school algebra. The course rebuilds the foundations before extending them.

Students join this programme from India, United States, United Kingdom, Singapore and United Arab Emirates.

Common questions

My child is good at school algebra. Is the basic stage a waste?

Usually not, and the reason is speed rather than knowledge. School algebra tests whether a method has been learned; competition and university algebra assume manipulation is automatic and spend their difficulty elsewhere. A student who is correct but deliberate will find the intermediate units slow going, not because the ideas are hard but because every line costs them attention. The basic stage is short for such students and worth doing.

Are functional equations really learnable?

Yes, and that surprises people. They look like they need inspiration and they mostly need a repertoire: substitute particular values, test injectivity and surjectivity, look for fixed points, exploit symmetry, guess and verify the form. Once a student has the standard moves and has used each a dozen times, most competition functional equations become a matter of trying the moves in a sensible order.

Why is there so much on inequalities?

Because they recur constantly in olympiad and undergraduate work and because students approach them without a plan. We teach them as a toolkit with an order of attack: what to try first, how to recognise the shape that suits Cauchy-Schwarz rather than AM-GM, when convexity and Jensen are the point. That ordering is most of the skill.

Do I need abstract algebra?

Not for most competitions, and it is placed late for that reason. It is included because it is the natural destination of everything before it, and because a student who has met groups and fields finds the structure of number theory and linear algebra suddenly obvious rather than arbitrary. Students aiming at an undergraduate mathematics degree should do it.

How does this relate to the other courses in the series?

Algebra is the one that supports the rest. Number theory uses its manipulation constantly, combinatorics uses generating functions from here, probability uses the series work, and the linear algebra unit is a prerequisite for the Advanced Maths for Research course. If a student can take only one course in the series, this is usually it.

End of Syllabus. Apply for Admission

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For
Class 9 - Undergraduate
Level
Beginner to Advanced
Duration
24 weeks
Each week
4 hours
Batch
Group class, maximum 8 students
Mode
Online
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  • Taught by the mentor who would lead the full course
  • You choose the slots from our calendar after payment
Trial fee by class, if you book
Class 1 to 5 3 sessions INR 599
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