Problem 3
Question
Let \(M_{1}, \ldots, M_{k}\) be a set of \(R\)-modules, and let \(L_{i}\) be a submodule of \(M_{i}\) for \(i=1, \ldots, k\) Show that there is an \(R\)-module isomorphism $$ \left(M_{1} \times \cdots \times M_{k}\right) /\left(L_{1} \times \cdots \times L_{k}\right) \cong M_{1} / L_{1} \times \cdots \times M_{k} / L_{k} $$
Step-by-Step Solution
Verified Answer
Define the map \(\theta\), prove its well-definedness and homomorphism property, then show it is bijective to establish the isomorphism.
1Step 1: Define the Map
Define the map \[ \theta : \frac{M_{1} \times \text{...} \times M_{k}} {L_{1} \times \text{...} \times L_{k}} \to \frac{M_{1}}{L_{1}} \times \text{...} \times \frac{M_{k}}{L_{k}} \] by \[ \theta((m_{1}, \text{...}, m_{k}) + (L_{1} \times \text{...} \times L_{k})) = (m_{1} + L_{1}, \text{...}, m_{k} + L_{k}) \] for every \((m_{1}, \text{...}, m_{k}) \text{ in } M_{1} \times \text{...} \times M_{k}.\) This map needs to be checked for well-definedness.
2Step 2: Prove Well-definedness
To show that \(\theta\) is well-defined, consider two elements \((m_{1}, \text{...}, m_{k}) and (m'_{1}, \text{...}, m'_{k}) of M_{1} \times \text{...} \times M_{k}\) such that \((m_{1}, \text{...}, m_{k}) + (L_{1} \times \text{...} \times L_{k}) = (m'_{1}, \text{...}, m'_{k}) + (L_{1} \times \text{...} \times L_{k})\). This means \((m_{1}-m'_{1}, \text{...}, m_{k}-m'_{k}) \text{ belongs to } L_{1} \times \text{...} \times L_{k}\). Hence, \(m_{i} - m'_{i} \text{ belongs to } L_{i}\) for each \(i = 1, \text{...}, k\). Thus, \(\theta((m_{1}, \text{...}, m_{k}) + (L_{1} \times \text{...} \times L_{k})) \text{ is equal to } \theta((m'_{1}, \text{...}, m'_{k}) + (L_{1} \times \text{...} \times L_{k}))\), so \(\theta\) is well-defined.
3Step 3: Prove Homomorphism Property
To show that \(\theta\) is a homomorphism, consider elements \((m_{1}, \text{...}, m_{k})\) and \((n_{1}, \text{...}, n_{k}) in M_{1} \times \text{...} \times M_{k}\). Then:\[ \theta(((m_{1}, \text{...}, m_{k}) + (n_{1}, \text{...}, n_{k})) + (L_{1} \times \text{...} \times L_{k})) \ \theta((m_{1} + n_{1}, \text{...}, m_{k} + n_{k}) + (L_{1} \times \text{...} \times L_{k})) = ((m_{1} + n_{1}) + L_{1}, \text{...}, (m_{k} + n_{k}) + L_{k}) \ = (m_{1} + L_{1}, \text{...}, m_{k} + L_{k}) + (n_{1} + L_{1}, \text{...}, n_{k} + L_{k}) = \theta((m_{1}, \text{...}, m_{k}) + (L_{1} \times \text{...} \times L_{k})) + \theta((n_{1}, \text{...}, n_{k}) + (L_{1} \times \text{...} \times L_{k}))\]. Hence, \(\theta\) is a homomorphism.
4Step 4: Prove Injectivity
To show that \(\theta\) is injective, assume \(\theta((m_{1}, \text{...}, m_{k}) + (L_{1} \times \text{...} \times L_{k})) = 0\). This means \((m_{1} + L_{1}, \text{...}, m_{k} + L_{k}) = (0 + L_{1}, \text{...}, 0 + L_{k})\), i.e., \(m_{i} \text{ belongs to } L_{i}\) for each \(i = 1, \text{...}, k\). Hence \((m_{1}, \text{...}, m_{k}) \text{ belongs to} L_{1} \times \text{...} \times L_{k}\), implying \((m_{1}, \text{...}, m_{k}) + (L_{1} \times \text{...} \times L_{k}) = (0, \text{...}, 0) + (L_{1} \times \text{...} \times L_{k})\). Thus, \(\theta\) is injective.
5Step 5: Prove Surjectivity
To show that \(\theta\) is surjective, consider an element \((m'_{1} + L_{1}, \text{...}, m'_{k} + L_{k})\) in \( \frac{M_{1}}{L_{1}} \times \text{...} \times \frac{M_{k}}{L_{k}}\). Then we can map it to \((m'_{1}, \text{...}, m'_{k}) + (L_{1} \times \text{...} \times L_{k})\). Clearly, \(\theta((m'_{1}, \text{...}, m'_{k}) + (L_{1} \times \text{...} \times L_{k})) = (m'_{1} + L_{1}, \text{...}, m'_{k} + L_{k})\). Hence, \(\theta\) is surjective.
6Step 6: Conclude the Isomorphism
Since \(\theta\) is a bijective homomorphism, it is an isomorphism. Therefore, \[ \frac{M_{1} \times \text{...} \times M_{k}} {L_{1} \times \text{...} \times L_{k}} \cong \frac{M_{1}}{L_{1}} \times \text{...} \times \frac{M_{k}}{L_{k}} \].
Key Concepts
HomomorphismInjectivitySurjectivitySubmodules
Homomorphism
In algebra, a homomorphism is a structure-preserving map between two algebraic structures of the same type. For the context of R-modules, a homomorphism is a function that respects the operations of addition and scalar multiplication. When dealing with homomorphisms, it's important to check if the mapping holds these properties:
- Addition: If \(\theta(m + n) = \theta(m) + \theta(n)\), then it is additive.
- Scalar Multiplication: If \(\theta(r \times m) = r \times \theta(m)\), where \(r\) is a scalar, then it respects scalar multiplication.
Injectivity
Injectivity, also known as one-to-one property, is an essential aspect to prove when determining an isomorphism. A map is injective if it maps distinct elements in the domain to distinct elements in the codomain.
For \(\theta\), to prove injectivity, one must show that if \(\theta((m_1, ..., m_k) + (L_1 \times ... \times L_k)) = 0\), then \(m_i \text{ belongs to } L_i\) for all \(i\). This step typically involves assuming the output is zero and showing that this implies a trivial element in the domain.
So, when proving injectivity:
For \(\theta\), to prove injectivity, one must show that if \(\theta((m_1, ..., m_k) + (L_1 \times ... \times L_k)) = 0\), then \(m_i \text{ belongs to } L_i\) for all \(i\). This step typically involves assuming the output is zero and showing that this implies a trivial element in the domain.
So, when proving injectivity:
- Assume \(\theta((m_1, ..., m_k) + (L_1 \times ... \times L_k)) = 0\).
- Show that this assumption leads to \(m_i\) being an element of \(L_i\) for all \(i\).
- This indicates the only preimage of zero is trivial, thereby proving the map is injective.
Surjectivity
Surjectivity, or onto property, is the other half of proving an isomorphism. A map is surjective if every element in the codomain has a preimage in the domain.
For \(\theta\), to show surjectivity, consider any element \((m'_1 + L_1, ..., m'_k + L_k)\) in the codomain \(\frac{M_1}{L_1} \times ... \times \frac{M_k}{L_k}\). The goal is to show there exists an element in the domain that \(\theta\) maps to it.
To achieve this, map each \(m'_i\) into the respective \(M_i\) and then construct the tuple \( (m'_1, ..., m'_k) + (L_1 \times ... \times L_k)\) in the domain:
For \(\theta\), to show surjectivity, consider any element \((m'_1 + L_1, ..., m'_k + L_k)\) in the codomain \(\frac{M_1}{L_1} \times ... \times \frac{M_k}{L_k}\). The goal is to show there exists an element in the domain that \(\theta\) maps to it.
To achieve this, map each \(m'_i\) into the respective \(M_i\) and then construct the tuple \( (m'_1, ..., m'_k) + (L_1 \times ... \times L_k)\) in the domain:
- This element will map to \((m'_1 + L_1, ..., m'_k + L_k)\) under \(\theta\).
- Prove that every element in the codomain is representable this way, confirming surjectivity.
Submodules
Understanding submodules is foundational in module theory. A submodule is a subset of a module that is itself a module under the same operations.
In the context of this exercise, \(L_i\) is a submodule of \(M_i\) for all \(i = 1, ..., k\). The quotient \(M_i/L_i\) represents the set of cosets of \(L_i\) in \(M_i\).
When working with these submodules in proving the isomorphism, remember to:
In the context of this exercise, \(L_i\) is a submodule of \(M_i\) for all \(i = 1, ..., k\). The quotient \(M_i/L_i\) represents the set of cosets of \(L_i\) in \(M_i\).
When working with these submodules in proving the isomorphism, remember to:
- Recognize that the entire structure \((M_1 \times ... \times M_k)\) divided by \((L_1 \times ... \times L_k)\) maintains the submodule properties.
- Each \(m_i \text{ belongs to } M_i\) represents an element modulo \(L_i\).
- The map \(\theta\) preserves these submodule structures, ensuring consistency and coherence.
Other exercises in this chapter
Problem 5
Let \(P_{1} \times P_{2}\) be an external direct sum of \(R\)-modules. Define \(\omega: P_{1} \times\) \(P_{2} \rightarrow P_{2} \times P_{1}\) by \(\omega\left
View solution Problem 7
Let \(P=P_{1} \times P_{2}\) be an external direct sum of \(R\)-modules. Write \(i d_{i}\) for the identity map on \(P_{i}, i=1,2\) and define maps as follows:
View solution Problem 8
Let \(R\) be the ring of all \(n \times n\) matrices over a field \(F\). For each pair of integers \(i, j=1, \ldots, n\), let \(e_{i j}\) be the matrix with ent
View solution