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Parallelization (mathematics)

Parallelization (mathematics) 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 Parallelization (mathematics) rather than just read about it. In short: In mathematics, a parallelization of a manifold M {\displaystyle M\,} of dimension n is a set of n global smooth linearly independent vector fields. Formal definition Given a manifold M {\displaystyle M\,} of dimension n, a parallelization of M {\displaystyle M\,} is a set { X 1 , … , X n } {\displaystyle \{X_{1},\dots ,X_{n}\}} of n smooth vector fields defined on all of M {\displaystyle M\,} such that for every p…

Key takeaways

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

Reference excerpt

In mathematics, a parallelization of a manifold M {\displaystyle M\,} of dimension n is a set of n global smooth linearly independent vector fields.

Formal definition Given a manifold M {\displaystyle M\,} of dimension n, a parallelization of M {\displaystyle M\,} is a set { X 1 , … , X n } {\displaystyle \{X_{1},\dots ,X_{n}\}} of n smooth vector fields defined on all of M {\displaystyle M\,} such that for every p ∈ M {\displaystyle p\in M\,} the set { X 1 ( p ) , … , X n ( p ) } {\displaystyle \{X_{1}(p),\dots ,X_{n}(p)\}} is a basis of T p M {\displaystyle T_{p}M\,} , where T p M {\displaystyle T_{p}M\,} denotes the fiber over p {\displaystyle p\,} of the tangent vector bundle T M {\displaystyle TM\,} . A manifold is called parallelizable whenever it admits a parallelization.

Examples Every Lie group is a parallelizable manifold. The product of parallelizable manifolds is parallelizable. Every affine space, considered as manifold, is parallelizable.

Properties Proposition. A manifold M {\displaystyle M\,} is parallelizable iff there is a diffeomorphism ϕ : T M ⟶ M × R n {\displaystyle \phi \colon TM\longrightarrow M\times {\mathbb {R} ^{n}}\,} such that the first projection of ϕ {\displaystyle \phi \,} is τ M : T M ⟶ M {\displaystyle \tau _{M}\colon TM\longrightarrow M\,} and for each p ∈ M {\displaystyle p\in M\,} the second factor—restricted to T p M {\displaystyle T_{p}M\,} —is a linear map ϕ p : T p M → R n {\displaystyle \phi _{p}\colon T_{p}M\rightarrow {\mathbb {R} ^{n}}\,} . In other words, M {\displaystyle M\,} is parallelizable if and only if τ M : T M ⟶ M {\displaystyle \tau _{M}\colon TM\longrightarrow M\,} is a trivial bundle. For example, suppose that M {\displaystyle M\,} is an open subset of R n {\displaystyle {\mathbb {R} ^{n}}\,} , i.e., an open submanifold of R n {\displaystyle {\mathbb {R} ^{n}}\,} . Then T M {\displaystyle TM\,} is equal to M × R n {\displaystyle M\times {\mathbb {R} ^{n}}\,} , and M {\displaystyle M\,} is clearly parallelizable.

See also Chart (topology) Differentiable manifold Frame bundle Orthonormal frame bundle Principal bundle Connection (mathematics) G-structure Web (differential geometry)

Notes

References Bishop, R.L.; Goldberg, S.I. (1968), Tensor Analysis on Manifolds (First Dover 1980 ed.), The Macmillan Company, ISBN 0-486-64039-6 Milnor, John W.; Stasheff, James D. (1974). Characteristic Classes. Annals of Mathematics Studies. Vol. 76. Princeton University Press; University of Tokyo Press. ISBN 978-0-691-08122-9. MR 0440554.

Worked examples

Example 1 — a first encounter with Parallelization (mathematics)

Start with the simplest possible case. Write down what Parallelization (mathematics) 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 Parallelization (mathematics) 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 Parallelization (mathematics) 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 Parallelization (mathematics)

In research
Parallelization (mathematics) 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 Parallelization (mathematics) 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
Parallelization (mathematics) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Differential geometry, Fiber bundles, Vector bundles, so understanding it makes those chapters shorter.
In everyday life
Look for Parallelization (mathematics) 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 Parallelization (mathematics) in 20 minutes

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

Frequently asked questions

What is Parallelization (mathematics) in simple terms?

In mathematics, a parallelization of a manifold M {\displaystyle M\,} of dimension n is a set of n global smooth linearly independent vector fields. Formal definition Given a manifold M {\displaystyle M\,} of dimension n, a parallelization of M {\displaystyle M\,} is a set { X 1 , … , X n } {\displ…

Why does Parallelization (mathematics) 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 Parallelization (mathematics)?

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 Parallelization (mathematics).

Tags

  • Differential geometry
  • Fiber bundles
  • Vector bundles

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