Question

Suppose \(R_{1}, \ldots, R_{k}\) are rings. Show that for each \(i=1, \ldots, k\), the projection map \(\pi_{i}: R_{1} \times \cdots \times R_{k} \rightarrow R_{i}\) that sends \(\left(a_{1}, \ldots, a_{k}\right)\) to \(a_{i}\) is a surjective ring homomorphism.

Short answer

Question: Show that the projection map \(\pi_i: R_{1} \times \cdots \times R_{k} \rightarrow R_{i}\) is a surjective ring homomorphism for each \(i = 1, \ldots, k\). Answer: Follow the steps outlined in the solution, showing that each projection map preserves the ring operations, and multiplicative identity (Step 2), and that the projection map is surjective (Step 3).

Step-by-step solution

Define the projection map

Let's first define the projection map \(\pi_i\). Given a tuple \((a_1, \ldots, a_k)\) where \(a_j \in R_j\) for \(j = 1, \ldots, k\), \(\pi_i\) is defined as: $$\pi_i\left((a_1,\ldots, a_k)\right) = a_i$$

Show that \(\pi_{i}\) is a ring homomorphism

A map is a ring homomorphism if it preserves the ring operations (addition and multiplication) and the multiplicative identity. We need to show that for any \((a_1, \ldots, a_k), (b_1, \ldots, b_k) \in R_1 \times \cdots \times R_k\) the following conditions hold: 1. \(\pi_i \left((a_1,\ldots, a_k) + (b_1,\ldots, b_k)\right) = \pi_i(a_1,\ldots, a_k) + \pi_i(b_1,\ldots, b_k)\) 2. \(\pi_i \left((a_1,\ldots, a_k) \cdot (b_1,\ldots, b_k)\right) = \pi_i(a_1,\ldots, a_k) \cdot \pi_i(b_1,\ldots, b_k)\) 3. \(\pi_i(1_{R_1 \times \cdots \times R_k}) = 1_{R_i}\) For addition: $$\pi_i\left((a_1,\ldots, a_k) + (b_1,\ldots, b_k)\right) = \pi_i\left((a_1+b_1, \ldots, a_k+b_k)\right) = a_i + b_i = \pi_i(a_1,\ldots, a_k) + \pi_i(b_1,\ldots, b_k)$$ For multiplication: $$\pi_i\left((a_1,\ldots, a_k) \cdot (b_1,\ldots, b_k)\right) = \pi_i\left((a_1\cdot b_1, \ldots, a_k\cdot b_k)\right) = a_i \cdot b_i = \pi_i(a_1,\ldots, a_k) \cdot \pi_i(b_1,\ldots, b_k)$$ For the multiplicative identity, note that \((1_{R_1},\ldots,1_{R_k})\) is the multiplicative identity of \(R_1 \times \cdots \times R_k\): $$\pi_i(1_{R_1 \times \cdots \times R_k}) = \pi_i(1_{R_1},\ldots,1_{R_k}) = 1_{R_i}$$ Since \(\pi_i\) preserves addition, multiplication, and the multiplicative identity, it is a ring homomorphism.

Show that \(\pi_{i}\) is surjective

A map is surjective if every element in the codomain is the image of some element in the domain. To show that \(\pi_i\) is surjective, we need to show that for any \(r_i \in R_i\) there exists a tuple \((a_1, \ldots, a_k) \in R_1 \times \cdots \times R_k\) such that: $$\pi_i(a_1,\ldots, a_k) = r_i$$ Choose the tuple \((a_1,\ldots,r_i,\ldots, a_k) \in R_1 \times \cdots \times R_k\) where \(a_j\) is any arbitrary element in \(R_j\) for \(j \neq i\). Then: $$\pi_i(a_1,\ldots, a_k) = (a_1,\ldots,r_i,\ldots, a_k) = r_i$$ Since for every \(r_i \in R_i\) we can find a tuple \((a_1,\ldots, a_k)\) in the domain such that its image is \(r_i\), we conclude that the projection map \(\pi_i\) is surjective. By Steps 2 and 3, we have shown that the projection map \(\pi_i: R_{1} \times \cdots \times R_{k} \rightarrow R_{i}\) is a surjective ring homomorphism for each \(i = 1, \ldots, k\).

Key concepts

Ring Theory

Ring Theory is a branch of abstract algebra that studies the algebraic structures called rings. A ring is essentially a set equipped with two operations: addition and multiplication, much like the familiar integers. However, unlike a field, a ring does not require every element to have a multiplicative inverse. Rings are fundamental in various areas of mathematics since many sets of numbers, like integers or polynomials, form a ring.

Rings are described by certain properties:

• Addition Closure: The sum of any two elements in the ring is also in the ring.
• Multiplication Closure: The product of any two elements in the ring is also in the ring.
• Associative Property: Both addition and multiplication are associative.
• Commutative Property for Addition: Addition is commutative. In some cases, multiplication is also commutative, creating a commutative ring.
• Identity Elements: There is an additive identity (0) and, if it's a ring with unity, a multiplicative identity (1).
• Distributive Property: Multiplication distributes over addition.

Exploring rings helps in understanding their richer structures like fields, and their homomorphisms are crucial in linking different mathematical objects.

Surjective Function

A Surjective Function, or onto function, is a type of function where every element in the codomain is mapped to by at least one element in the domain. This means there are no elements left out in the codomain; each one is covered.

To determine if a function is surjective, consider the following key steps:

• Identify the Codomain: Clearly define the set where all potential outputs belong.
• Map Domain to Codomain: Check that every possible output in the codomain has a corresponding input in the domain that maps to it.
• Use Mathematical Proofs: Often, demonstrating surjectivity involves proving that for every element in the codomain, there exists an element in the domain with a specific property.

Surjective functions are crucial in many areas of mathematics because they help establish bijections (one-to-one correspondence) when paired with injective functions, thereby forming inverses and isomorphisms.

Projection Map

A Projection Map is a function that 'projects' out a specific component from a tuple in a product set. For instance, in a tuple \(a_1, a_2, \ldots, a_k\), a projection map \(\pi_i\) retrieves the ith element, \(a_i\), from any tuple.

Key attributes of projection maps include:

• Definition: Given a product of sets \(R_1 \times R_2 \times \ldots \times R_k\), the projection map \(\pi_i: R_1 \times \cdots \times R_k \rightarrow R_i\) selects only the ith component.
• Surjectivity: A projection map is inherently surjective because each element of \(R_i\) is achieved by choosing any arbitrary elements for other components in the domain.
• Homomorphism in Rings: When working with rings, a projection map is also a ring homomorphism, preserving both the addition and multiplication of elements, as well as the identity element.

Projection maps are fundamental in algebra and analysis, simplifying complex structures by reducing them to simpler components, which makes understanding and working with intricate systems more manageable.