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Analyze the structure and classification of low-dimensional Lie algebras based on their multiplication properties | Step-by-Step Solution

MathAbstract Algebra
Explained on January 14, 2026
📚 Grade graduate🔴 Hard⏱️ 30-45 min

Problem

Problem discusses classifying Lie algebras of dimension 1 and 2, examining their multiplication rules and possible structures

🎯 What You'll Learn

  • Understand Lie algebra classification methods
  • Analyze low-dimensional algebraic structures
  • Explore abstract algebraic transformations

Prerequisites: Linear Algebra, Abstract Algebra fundamentals, Basic group theory concepts

💡 Quick Summary

Hi there! This is a fascinating problem about classifying Lie algebras, which is all about understanding the different ways you can define a bracket operation on low-dimensional vector spaces while respecting the fundamental Lie algebra axioms. Before diving in, what do you remember about the key properties that any Lie bracket must satisfy - particularly antisymmetry and the Jacobi identity? I'd suggest starting with the 1-dimensional case first, since it's simpler: if you have just one basis element e₁, what constraints do the Lie algebra axioms place on the bracket [e₁,e₁]? Think about how antisymmetry alone can tell you something powerful about this bracket. Once you work through that case, the 2-dimensional case becomes much more manageable, and you'll start to see how the axioms naturally limit your choices for how the basis elements can interact with each other.

Step-by-Step Explanation

Classifying Low-Dimensional Lie Algebras

1. What We're Solving:

We want to understand and classify all possible Lie algebras of dimensions 1 and 2. This means finding all the different ways we can define a Lie bracket operation on 1-dimensional and 2-dimensional vector spaces while satisfying the Lie algebra axioms.

2. The Approach:

We'll use the defining properties of Lie algebras (antisymmetry and the Jacobi identity) as our constraints, then systematically examine what multiplication tables are possible for small dimensions. This classification helps us understand the "building blocks" of more complex Lie algebras.

3. Step-by-Step Solution:

Step 1: Recall the Lie Algebra Axioms A Lie algebra is a vector space with a bracket operation [·,·] that satisfies:

  • Antisymmetry: [x,y] = -[y,x] for all x,y
  • Jacobi identity: [x,[y,z]] + [y,[z,x]] + [z,[x,y]] = 0 for all x,y,z
  • Bilinearity: The bracket is linear in both arguments
Step 2: Dimension 1 Case Let's call our 1-dimensional Lie algebra L₁ with basis {e₁}.
  • Any element looks like: ae₁ for some scalar a
  • The bracket must satisfy: [e₁,e₁] = ?
  • By antisymmetry: [e₁,e₁] = -[e₁,e₁], so 2[e₁,e₁] = 0
  • Therefore: [e₁,e₁] = 0
Conclusion for dim 1: There's exactly one 1-dimensional Lie algebra (up to isomorphism) - the abelian one where all brackets are zero!

Step 3: Dimension 2 Case Let L₂ have basis {e₁,e₂}. We need to determine [e₁,e₂].

  • By antisymmetry: [e₁,e₁] = [e₂,e₂] = 0
  • We only need to find [e₁,e₂] = ae₁ + be₂ for some constants a,b
  • By antisymmetry: [e₂,e₁] = -ae₁ - be₂
Step 4: Check the Jacobi Identity For any three elements, the Jacobi identity must hold. Let's check with our basis elements:
  • [e₁,[e₂,e₁]] + [e₂,[e₁,e₁]] + [e₁,[e₁,e₂]] = 0
  • This simplifies to: [e₁,-ae₁-be₂] + 0 + [e₁,ae₁+be₂] = 0
  • Which gives us: 0 = 0 ✓
The Jacobi identity is automatically satisfied!

Step 5: Classification of 2D Cases We have two subcases:

  • Case 1: a = b = 0, so [e₁,e₂] = 0
This gives us the 2-dimensional abelian Lie algebra
  • Case 2: Not both a,b are zero
By choosing a new basis, we can always make this look like [e₁,e₂] = e₂ This gives us a non-abelian 2-dimensional Lie algebra

4. The Answer:

Classification Result:
  • Dimension 1: Exactly one Lie algebra (abelian)
  • Dimension 2: Exactly two Lie algebras up to isomorphism:
1. The 2D abelian algebra: [e₁,e₂] = 0 2. The 2D non-abelian algebra: [e₁,e₂] = e₂ (also called the "affine" Lie algebra)

5. Memory Tip:

Think "Small dimensions = Simple choices": In low dimensions, you're either completely abelian (everything commutes) or you have just enough room for one "interesting" bracket relation. The constraints of the Lie algebra axioms severely limit your options when you don't have much space to work with! 🌟

⚠️ Common Mistakes to Avoid

  • Misunderstanding skew-symmetry conditions
  • Incorrectly applying multiplication rules
  • Failing to recognize isomorphic structures

This explanation was generated by AI. While we work hard to be accurate, mistakes can happen! Always double-check important answers with your teacher or textbook.

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📷 Problem detected:

Solve: 2x + 5 = 13

Step 1:

Subtract 5 from both sides...

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