Why can the scalar system be a ring instead of a field in the module definition?
Conditions
- The scalar set is a ring R.
- The same scalar-multiplication axioms (identity, associativity, distributivity) are imposed.
Reasoning, step by step
- Review the vector space definition, which requires a field of scalars.
- Identify the specific axioms used for scalar multiplication: , , and the distributive laws.
- Observe that none of these axioms require scalar multiplication to be commutative.
- Observe that none of these axioms require every non-zero scalar to have an inverse.
- Conclude that the definition remains valid if the scalars form a ring, creating a module.
Example
The lecturer explicitly states that 'you didn't really need to know that the multiplication inside the field was commutative' and 'you didn't need to know that every non-zero element ... has an inverse,' allowing the board to change the scalar setting from a field to `R = ring`.
Common misconceptions
- Assuming the scalar system must be a field because vector spaces are defined over fields.
- Thinking that the distributive laws require the scalars to commute with each other.
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Modules appear because solving a matrix equation like naturally leads to constructing a quotient ring that encodes the relation, and then viewing the vector space as a module over this ring. This translates a linear algebra problem into an algebraic module problem.
Conditions: The matrix equation involves non-commuting variables, such as .; The goal is to find solutions for matrices .
The purpose is to create a scalar ring where the relation holds by definition. This allows the matrix equation to be encoded algebraically, so that solutions to the matrix equation correspond to module structures over .
Conditions: Starting from the non-commutative polynomial ring .; Modding out by the two-sided ideal generated by .
The Check OK computation proves that the proposed scalar multiplication is well-defined and does not contradict the defining relation of the quotient ring . It shows that the generator of the ideal, , acts as zero on every vector because the matrices and satisfy .
Conditions: .; solve .; The module action is defined by and .
The matrix equation enters at the final step of the verification computation, where the expression is evaluated. Because and are assumed to solve , this expression equals the zero vector, confirming that the ideal generator acts trivially.
Conditions: .; .; The verification expands into .
One must verify this to ensure the scalar multiplication is well-defined. Since is in the ideal , its coset is the zero element in .
Conditions: .; The proposed action is and .; satisfy .
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