Math Problem Statement

Suppose a is in F and v is in V and av=0. prove that a = 0 and v = 0

Solution

To prove this, we need to carefully consider the setup of the problem.

Given:

  • aFa \in F, where FF is a field.
  • vVv \in V, where VV is a vector space over the field FF.
  • The equation av=0av = 0, where 00 represents the zero vector in VV.

What we want to prove:

We need to show that either:

  • a=0a = 0 (the scalar is zero), or
  • v=0v = 0 (the vector is zero).

Step-by-Step Proof:

  1. Case 1: If a=0a = 0
    If a=0a = 0, then the equation becomes: 0v=00 \cdot v = 0 This is true for any vector vVv \in V, since multiplying the zero scalar with any vector results in the zero vector. Therefore, in this case, the equation av=0av = 0 holds trivially for any vVv \in V.

  2. Case 2: If v=0v = 0
    If v=0v = 0, then the equation becomes: a0=0a \cdot 0 = 0 This is also trivially true for any scalar aFa \in F, since any scalar multiplied by the zero vector results in the zero vector.

  3. Case 3: a0a \neq 0
    If a0a \neq 0, we assume the scalar is non-zero. Since aa is in the field FF, and fields have the property that non-zero elements are invertible, there exists an inverse element a1Fa^{-1} \in F such that: a1a=1a^{-1} a = 1 Now, multiply both sides of the equation av=0av = 0 by a1a^{-1}: a1(av)=a10a^{-1} (a v) = a^{-1} \cdot 0 On the left-hand side, by associativity of scalar multiplication, we get: (a1a)v=0(a^{-1} a) v = 0 Since a1a=1a^{-1} a = 1, this simplifies to: 1v=01 \cdot v = 0 Therefore, v=0v = 0.

Conclusion:

We have shown that if a0a \neq 0, then v=0v = 0. Thus, the equation av=0av = 0 holds if and only if either:

  • a=0a = 0, or
  • v=0v = 0.

This completes the proof.


Would you like further details on any part of this proof? Here are some related questions to deepen your understanding:

  1. Can you explain the properties of fields that were crucial for this proof?
  2. What happens if the field FF is replaced by a ring?
  3. How does this proof change if VV is not a vector space but a module?
  4. Can this proof be extended to cases where vv belongs to an infinite-dimensional vector space?
  5. What does this result imply about the relationship between scalar and vector multiplication?

Tip: When working with fields, remember that every non-zero element has a multiplicative inverse—a key property that helps in proofs like this one.

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Vector Spaces
Fields

Formulas

av = 0
a^{-1} a = 1

Theorems

Properties of Fields
Associativity of Scalar Multiplication
Inverse Element Theorem

Suitable Grade Level

Undergraduate (University Level - Linear Algebra)