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Tensor product of modules

Tensor product of modules is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Tensor product of modules rather than just read about it. In short: In mathematics, the tensor product of modules is a construction that allows arguments about bilinear maps (e.g. multiplication) to be carried out in terms of linear maps. The module construction is analogous to the construction of the tensor product of vector spaces, but can be carried out for a pair of modules over a commutative ring resulting in a third module, and also for a pair of a right-module and a left-modu…

Tensor product of modules — main illustration
Tensor product of modules — illustration

Key takeaways

  • Tensor product of modules belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Tensor product of modules to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Tensor product of modules from memory before moving on to harder problems.

Reference excerpt

In mathematics, the tensor product of modules is a construction that allows arguments about bilinear maps (e.g. multiplication) to be carried out in terms of linear maps. The module construction is analogous to the construction of the tensor product of vector spaces, but can be carried out for a pair of modules over a commutative ring resulting in a third module, and also for a pair of a right-module and a left-module over any ring, with result an abelian group. Tensor products are important in areas of abstract algebra, homological algebra, algebraic topology, algebraic geometry, operator algebras and noncommutative geometry. The universal property of the tensor product of vector spaces extends to more general situations in abstract algebra. The tensor product of an algebra and a module can be used for extension of scalars. For a commutative ring, the tensor product of modules can be iterated to form the tensor algebra of a module, allowing one to define multiplication in the module in a universal way.

Balanced product

For a ring R, a right R-module M, a left R-module N, and an abelian group G, a map φ: M × N → G is said to be R-balanced, R-middle-linear or an R-balanced product if for all m, m′ in M, n, n′ in N, and r in R the following hold:

φ ( m , n + n ′ ) = φ ( m , n ) + φ ( m , n ′ ) Dl φ φ ( m + m ′ , n ) = φ ( m , n ) + φ ( m ′ , n ) Dr φ φ ( m ⋅ r , n ) = φ ( m , r ⋅ n ) A φ {\displaystyle {\begin{aligned}\varphi (m,n+n')&=\varphi (m,n)+\varphi (m,n')&&{\text{Dl}}_{\varphi }\\\varphi (m+m',n)&=\varphi (m,n)+\varphi (m',n)&&{\text{Dr}}_{\varphi }\\\varphi (m\cdot r,n)&=\varphi (m,r\cdot n)&&{\text{A}}_{\varphi }\\\end{aligned}}}

The set of all such balanced products over R from M × N to G is denoted by LR(M, N; G). If φ, ψ are balanced products, then each of the operations φ + ψ and −φ defined pointwise is a balanced product. This turns the set LR(M, N; G) into an abelian group. For M and N fixed, the map G ↦ LR(M, N; G) is a functor from the category of abelian groups to itself. The morphism part is given by mapping a group homomorphism g : G → G′ to the function φ ↦ g ∘ φ, which goes from LR(M, N; G) to LR(M, N; G′).

Remarks

Properties (Dl) and (Dr) express biadditivity of φ, which may be regarded as distributivity of φ over addition. Property (A) resembles some associative property of φ. Every ring R is an R-bimodule. So the ring multiplication (r, r′) ↦ r ⋅ r′ in R is an R-balanced product R × R → R.

Definition For a ring R, a right R-module M, a left R-module N, the tensor product over R

M ⊗ R N {\displaystyle M\otimes _{R}N}

is an abelian group together with a balanced product (as defined above)

⊗ : M × N → M ⊗ R N {\displaystyle \otimes :M\times N\to M\otimes _{R}N}

which is universal in the following sense:

For every abelian group G and every balanced product f : M × N → G {\displaystyle f:M\times N\to G} there is a unique group homomorphism f ~ : M ⊗ R N → G {\displaystyle {\tilde {f}}:M\otimes _{R}N\to G} such that f ~ ∘ ⊗ = f . {\displaystyle {\tilde {f}}\circ \otimes =f.}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Tensor product of modules

Start with the simplest possible case. Write down what Tensor product of modules claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Tensor product of modules before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Tensor product of modules ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Tensor product of modules

In research
Tensor product of modules appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Tensor product of modules in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Tensor product of modules is common in secondary-school and first-year university syllabi. It links to neighbouring topics Homological algebra, Module theory, Multilinear algebra, so understanding it makes those chapters shorter.
In everyday life
Look for Tensor product of modules outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Tensor product of modules in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Tensor product of modules means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Tensor product of modules out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Tensor product of modules in simple terms?

In mathematics, the tensor product of modules is a construction that allows arguments about bilinear maps (e.g. multiplication) to be carried out in terms of linear maps. The module construction is analogous to the construction of the tensor product of vector spaces, but can be carried out for a pa…

Why does Tensor product of modules matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Tensor product of modules?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Tensor product of modules.

Tags

  • Homological algebra
  • Module theory
  • Multilinear algebra
  • Operations on structures

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