Math Problem Statement

is C = {0000, 1001, 0110, 2002, 1111, 0220, 1221, 2112, 2222} a linear code over F3?

Solution

To determine whether the given code CC is a linear code over F3\mathbb{F}_3, we need to verify if it forms a subspace of F34\mathbb{F}_3^4. This means checking whether CC satisfies the following conditions:

  1. Closure under addition: If c1,c2C\mathbf{c}_1, \mathbf{c}_2 \in C, then their sum c1+c2\mathbf{c}_1 + \mathbf{c}_2 (modulo 3) must also be in CC.
  2. Closure under scalar multiplication: If cC\mathbf{c} \in C and λF3={0,1,2}\lambda \in \mathbb{F}_3 = \{0,1,2\}, then λc\lambda \mathbf{c} (modulo 3) must also be in CC.

Step 1: Verify Closure under Addition

We check whether adding any two codewords (modulo 3) produces another codeword in CC.

For example:

  • 1001+0110=1111C1001 + 0110 = 1111 \in C
  • 1001+2002=30030000(mod3)C1001 + 2002 = 3003 \equiv 0000 \pmod{3} \in C
  • 1001+1221=2222C1001 + 1221 = 2222 \in C

However, consider:

  • 1001+0220=1221C1001 + 0220 = 1221 \in C
  • 0110+1111=1221C0110 + 1111 = 1221 \in C
  • 2002+1111=31130110(mod3)C2002 + 1111 = 3113 \equiv 0110 \pmod{3} \in C
  • 2002+0110=2112C2002 + 0110 = 2112 \in C

Since all sums are in CC, the set is closed under addition.

Step 2: Verify Closure under Scalar Multiplication

We check whether multiplying any codeword by 22 (modulo 3) results in another codeword.

For example:

  • 2×1001=2002C2 \times 1001 = 2002 \in C
  • 2×0110=0220C2 \times 0110 = 0220 \in C
  • 2×1111=2222C2 \times 1111 = 2222 \in C
  • 2×1221=2112C2 \times 1221 = 2112 \in C

Since scalar multiplication holds, CC is closed under this operation.

Conclusion:

Since CC is closed under both addition and scalar multiplication, it forms a subspace of F34\mathbb{F}_3^4. Therefore, CC is a linear code over F3\mathbb{F}_3.

Would you like a more detailed breakdown of the vector space properties?

Related Questions:

  1. What is the dimension of this linear code?
  2. How do we find a generator matrix for this code?
  3. What is the minimum Hamming distance of this code?
  4. How do we determine if a given code is cyclic?
  5. How can we construct a parity-check matrix for this code?

Tip:

To prove a code is linear, always check whether it contains the zero codeword, is closed under addition, and is closed under scalar multiplication.

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Math Problem Analysis

Mathematical Concepts

Linear Codes
Finite Fields
Vector Spaces

Formulas

Closure under addition: If c1, c2 ∈ C, then (c1 + c2) mod 3 ∈ C
Closure under scalar multiplication: If c ∈ C and λ ∈ F3, then (λc) mod 3 ∈ C

Theorems

Subspace criteria for vector spaces
Properties of linear codes over finite fields

Suitable Grade Level

Undergraduate (Discrete Mathematics, Coding Theory)