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Tensor product of algebras

Tensor product of algebras 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 algebras rather than just read about it. In short: In mathematics, the tensor product of two algebras over a commutative ring R is also an R-algebra. This gives the tensor product of algebras.

Key takeaways

  • Tensor product of algebras 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 algebras to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Tensor product of algebras from memory before moving on to harder problems.

Reference excerpt

In mathematics, the tensor product of two algebras over a commutative ring R is also an R-algebra. This gives the tensor product of algebras. When the ring is a field, the most common application of such products is to describe the product of algebra representations.

Definition Let R be a commutative ring and let A and B be R-algebras. Since A and B may both be regarded as R-modules, their tensor product

A ⊗ R B {\displaystyle A\otimes _{R}B}

is also an R-module. The tensor product can be given the structure of a ring by defining the product on elements of the form a ⊗ b by

( a 1 ⊗ b 1 ) ( a 2 ⊗ b 2 ) = a 1 a 2 ⊗ b 1 b 2 {\displaystyle (a_{1}\otimes b_{1})(a_{2}\otimes b_{2})=a_{1}a_{2}\otimes b_{1}b_{2}}

and then extending by linearity to all of A ⊗R B. This ring is an R-algebra, associative and unital with the identity element given by 1A ⊗ 1B, where 1A and 1B are the identity elements of A and B. If A and B are commutative, then the tensor product is commutative as well. The tensor product turns the category of R-algebras into a symmetric monoidal category.

Further properties There are natural homomorphisms from A and B to A ⊗R B given by

a ↦ a ⊗ 1 B {\displaystyle a\mapsto a\otimes 1_{B}}

b ↦ 1 A ⊗ b {\displaystyle b\mapsto 1_{A}\otimes b}

These maps make the tensor product the coproduct in the category of commutative R-algebras. The tensor product is not the coproduct in the category of all R-algebras; there the coproduct is given by a more general free product of algebras. Nevertheless, the tensor product of non-commutative algebras can be described by a universal property similar to that of the coproduct:

Hom ( A ⊗ B , X ) ≅ { ( f , g ) ∈ Hom ( A , X ) × Hom ( B , X ) ∣ ∀ a ∈ A , b ∈ B : [ f ( a ) , g ( b ) ] = 0 } , {\displaystyle {\text{Hom}}(A\otimes B,X)\cong \lbrace (f,g)\in {\text{Hom}}(A,X)\times {\text{Hom}}(B,X)\mid \forall a\in A,b\in B:[f(a),g(b)]=0\rbrace ,}

where [-, -] denotes the commutator. The natural isomorphism is given by identifying a morphism ϕ : A ⊗ B → X {\displaystyle \phi :A\otimes B\to X} on the left hand side with the pair of morphisms ( f , g ) {\displaystyle (f,g)} on the right hand side where f ( a ) := ϕ ( a ⊗ 1 ) {\displaystyle f(a):=\phi (a\otimes 1)} and similarly g ( b ) := ϕ ( 1 ⊗ b ) {\displaystyle g(b):=\phi (1\otimes b)} .

Applications The tensor product of commutative algebras is of frequent use in algebraic geometry. For affine schemes X, Y, Z with morphisms from X and Z to Y, so X = Spec(A), Y = Spec(R), and Z = Spec(B) for some commutative rings A, R, B, the fiber product scheme is the affine scheme corresponding to the tensor product of algebras:

X × Y Z = Spec ⁡ ( A ⊗ R B ) . {\displaystyle X\times _{Y}Z=\operatorname {Spec} (A\otimes _{R}B).}

More generally, the fiber product of schemes is defined by gluing together affine fiber products of this form.

Examples

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Tensor product of algebras

Start with the simplest possible case. Write down what Tensor product of algebras 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 algebras 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 algebras 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 algebras

In research
Tensor product of algebras 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 algebras 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 algebras is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebras, Commutative algebra, Multilinear algebra, so understanding it makes those chapters shorter.
In everyday life
Look for Tensor product of algebras 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 algebras in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Tensor product of algebras 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 algebras out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Tensor product of algebras in simple terms?

In mathematics, the tensor product of two algebras over a commutative ring R is also an R-algebra. This gives the tensor product of algebras.

Why does Tensor product of algebras 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 algebras?

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 algebras.

Tags

  • Algebras
  • Commutative algebra
  • Multilinear algebra
  • Ring theory

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