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Homotopy associative algebra

Homotopy associative algebra 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 Homotopy associative algebra rather than just read about it. In short: In mathematics, an algebra such as ( R , + , ⋅ ) {\displaystyle (\mathbb {R} ,+,\cdot )} has multiplication ⋅ {\displaystyle \cdot } whose associativity is well-defined on the nose. This means for any real numbers a , b , c ∈ R {\displaystyle a,b,c\in \mathbb {R} } we have a ⋅ ( b ⋅ c ) − ( a ⋅ b ) ⋅ c = 0 {\displaystyle a\cdot (b\cdot c)-(a\cdot b)\cdot c=0} .

Key takeaways

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

Reference excerpt

In mathematics, an algebra such as ( R , + , ⋅ ) {\displaystyle (\mathbb {R} ,+,\cdot )} has multiplication ⋅ {\displaystyle \cdot } whose associativity is well-defined on the nose. This means for any real numbers a , b , c ∈ R {\displaystyle a,b,c\in \mathbb {R} } we have

a ⋅ ( b ⋅ c ) − ( a ⋅ b ) ⋅ c = 0 {\displaystyle a\cdot (b\cdot c)-(a\cdot b)\cdot c=0} . But, there are algebras R {\displaystyle R} which are not necessarily associative, meaning if a , b , c ∈ R {\displaystyle a,b,c\in R} then

a ⋅ ( b ⋅ c ) − ( a ⋅ b ) ⋅ c ≠ 0 {\displaystyle a\cdot (b\cdot c)-(a\cdot b)\cdot c\neq 0}

in general. There is a notion of algebras, called A ∞ {\displaystyle A_{\infty }} -algebras, which still have a property on the multiplication which still acts like the first relation, meaning associativity holds, but only holds up to a homotopy, which is a way to say after an operation "compressing" the information in the algebra, the multiplication is associative. This means although we get something which looks like the second equation, the one of inequality, we actually get equality after "compressing" the information in the algebra. The study of A ∞ {\displaystyle A_{\infty }} -algebras is a subset of homotopical algebra, where there is a homotopical notion of associative algebras through a differential graded algebra with a multiplication operation and a series of higher homotopies giving the failure for the multiplication to be associative. Loosely, an A ∞ {\displaystyle A_{\infty }} -algebra ( A ∙ , m i ) {\displaystyle (A^{\bullet },m_{i})} is a Z {\displaystyle \mathbb {Z} } -graded vector space over a field k {\displaystyle k} with a series of operations m i {\displaystyle m_{i}} on the i {\displaystyle i} -th tensor powers of A ∙ {\displaystyle A^{\bullet }} . The m 1 {\displaystyle m_{1}} corresponds to a chain complex differential, m 2 {\displaystyle m_{2}} is the multiplication map, and the higher m i {\displaystyle m_{i}} are a measure of the failure of associativity of the m 2 {\displaystyle m_{2}} . When looking at the underlying cohomology algebra H ( A ∙ , m 1 ) {\displaystyle H(A^{\bullet },m_{1})} , the map m 2 {\displaystyle m_{2}} should be an associative map. Then, these higher maps m 3 , m 4 , … {\displaystyle m_{3},m_{4},\ldots } should be interpreted as higher homotopies, where m 3 {\displaystyle m_{3}} is the failure of m 2 {\displaystyle m_{2}} to be associative, m 4 {\displaystyle m_{4}} is the failure for m 3 {\displaystyle m_{3}} to be higher associative, and so forth. Their structure was originally discovered by Jim Stasheff while studying A∞-spaces, but this was interpreted as a purely algebraic structure later on. These are spaces equipped with maps that are associative only up to homotopy, and the A∞ structure keeps track of these homotopies, homotopies of homotopies, and so forth. They are ubiquitous in homological mirror symmetry because of their necessity in defining the structure of the Fukaya category of D-branes on a Calabi–Yau manifold who have only a homotopy associative structure.

Definition

Definition For a fixed field k {\displaystyle k} an A ∞ {\displaystyle A_{\infty }} -algebra is a Z {\displaystyle \mathbb {Z} } -graded vector space

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Homotopy associative algebra

Start with the simplest possible case. Write down what Homotopy associative algebra 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 Homotopy associative algebra 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 Homotopy associative algebra 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 Homotopy associative algebra

In research
Homotopy associative algebra 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 Homotopy associative algebra 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
Homotopy associative algebra is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebraic geometry, Homological algebra, Homotopical algebra, so understanding it makes those chapters shorter.
In everyday life
Look for Homotopy associative algebra 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 Homotopy associative algebra in 20 minutes

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

Frequently asked questions

What is Homotopy associative algebra in simple terms?

In mathematics, an algebra such as ( R , + , ⋅ ) {\displaystyle (\mathbb {R} ,+,\cdot )} has multiplication ⋅ {\displaystyle \cdot } whose associativity is well-defined on the nose. This means for any real numbers a , b , c ∈ R {\displaystyle a,b,c\in \mathbb {R} } we have a ⋅ ( b ⋅ c ) − ( a ⋅ b )…

Why does Homotopy associative algebra 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 Homotopy associative algebra?

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 Homotopy associative algebra.

Tags

  • Algebraic geometry
  • Homological algebra
  • Homotopical algebra
  • Homotopy theory

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