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Submersion (mathematics)

Submersion (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 Submersion (mathematics) rather than just read about it. In short: In mathematics, a submersion is a differentiable map between differentiable manifolds whose differential pushforward is everywhere surjective. It is a basic concept in differential topology, dual to that of an immersion.

Key takeaways

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

Reference excerpt

In mathematics, a submersion is a differentiable map between differentiable manifolds whose differential pushforward is everywhere surjective. It is a basic concept in differential topology, dual to that of an immersion.

Definition Let M and N be differentiable manifolds, and let f : M → N {\displaystyle f\colon M\to N} be a differentiable map between them. The map f is a submersion at a point p ∈ M {\displaystyle p\in M} if its differential

D f p : T p M → T f ( p ) N {\displaystyle Df_{p}\colon T_{p}M\to T_{f(p)}N}

is a surjective linear map. In this case, p is called a regular point of the map f; otherwise, p is a critical point. A point q ∈ N {\displaystyle q\in N} is a regular value of f if all points p in the preimage f − 1 ( q ) {\displaystyle f^{-1}(q)} are regular points. A differentiable map f that is a submersion at each point p ∈ M {\displaystyle p\in M} is called a submersion. Equivalently, f is a submersion if its differential D f p {\displaystyle Df_{p}} has constant rank equal to the dimension of N. Some authors use the term critical point to describe a point where the rank of the Jacobian matrix of f at p is not maximal.: Indeed, this is the more useful notion in singularity theory. If the dimension of M is greater than or equal to the dimension of N, then these two notions of critical point coincide. However, if the dimension of M is less than the dimension of N, all points are critical according to the definition above (the differential cannot be surjective), but the rank of the Jacobian may still be maximal (if it is equal to dim M). The definition given above is the more commonly used one, e.g., in the formulation of Sard's theorem.

Submersion theorem Given a submersion f : M → N {\displaystyle f\colon M\to N} between smooth manifolds of dimensions m {\displaystyle m} and n {\displaystyle n} , for each x ∈ M {\displaystyle x\in M} there exist surjective charts ϕ : U → R m {\displaystyle \phi :U\to \mathbb {R} ^{m}} of M {\displaystyle M} around x {\displaystyle x} , and ψ : V → R n {\displaystyle \psi :V\to \mathbb {R} ^{n}} of N {\displaystyle N} around f ( x ) {\displaystyle f(x)} , such that f {\displaystyle f} restricts to a submersion f : U → V {\displaystyle f\colon U\to V} which, when expressed in coordinates as ψ ∘ f ∘ ϕ − 1 : R m → R n {\displaystyle \psi \circ f\circ \phi ^{-1}:\mathbb {R} ^{m}\to \mathbb {R} ^{n}} , becomes an ordinary orthogonal projection. As an application, for each p ∈ N {\displaystyle p\in N} the corresponding fiber of f {\displaystyle f} , denoted M p = f − 1 ( p ) {\displaystyle M_{p}=f^{-1}({p})} can be equipped with the structure of a smooth submanifold of M {\displaystyle M} whose dimension equals the difference of the dimensions of N {\displaystyle N} and M {\displaystyle M} . This theorem is a consequence of the inverse function theorem (see Inverse function theorem#Giving a manifold structure). For example, consider f : R 3 → R {\displaystyle f\colon \mathbb {R} ^{3}\to \mathbb {R} } given by f ( x , y , z ) = x 4 + y 4 + z 4 . {\displaystyle f(x,y,z)=x^{4}+y^{4}+z^{4}.} . The Jacobian matrix is

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Submersion (mathematics)

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

In research
Submersion (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 Submersion (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
Submersion (mathematics) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Maps of manifolds, Smooth functions, so understanding it makes those chapters shorter.
In everyday life
Look for Submersion (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 Submersion (mathematics) in 20 minutes

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

Frequently asked questions

What is Submersion (mathematics) in simple terms?

In mathematics, a submersion is a differentiable map between differentiable manifolds whose differential pushforward is everywhere surjective. It is a basic concept in differential topology, dual to that of an immersion.

Why does Submersion (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 Submersion (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 Submersion (mathematics).

Tags

  • Maps of manifolds
  • Smooth functions

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