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Palais–Smale compactness condition

Palais–Smale compactness condition 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 Palais–Smale compactness condition rather than just read about it. In short: The Palais–Smale compactness condition, named after Richard Palais and Stephen Smale, is a hypothesis for some theorems of the calculus of variations. It is useful for guaranteeing the existence of certain kinds of critical points, in particular saddle points.

Key takeaways

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

Reference excerpt

The Palais–Smale compactness condition, named after Richard Palais and Stephen Smale, is a hypothesis for some theorems of the calculus of variations. It is useful for guaranteeing the existence of certain kinds of critical points, in particular saddle points. The Palais-Smale condition is a condition on the functional that one is trying to extremize. In finite-dimensional spaces, the Palais–Smale condition for a continuously differentiable real-valued function is satisfied automatically for proper maps: functions which do not take unbounded sets into bounded sets. In the calculus of variations, where one is typically interested in infinite-dimensional function spaces, the condition is necessary because some extra notion of compactness beyond simple boundedness is needed. See, for example, the proof of the mountain pass theorem in section 8.5 of Evans.

Strong formulation A continuously Fréchet differentiable functional I ∈ C 1 ( H , R ) {\displaystyle I\in C^{1}(H,\mathbb {R} )} from a Hilbert space H to the reals satisfies the Palais–Smale condition if every sequence { u k } k = 1 ∞ ⊂ H {\displaystyle \{u_{k}\}_{k=1}^{\infty }\subset H} such that:

{ I [ u k ] } k = 1 ∞ {\displaystyle \{I[u_{k}]\}_{k=1}^{\infty }} is bounded, and

I ′ [ u k ] → 0 {\displaystyle I'[u_{k}]\rightarrow 0} in H has a convergent subsequence in H.

Weak formulation Let X be a Banach space and Φ : X → R {\displaystyle \Phi \colon X\to \mathbf {R} } be a Gateaux differentiable functional. The functional Φ {\displaystyle \Phi } is said to satisfy the weak Palais–Smale condition if for each sequence { x n } ⊂ X {\displaystyle \{x_{n}\}\subset X} such that

sup | Φ ( x n ) | < ∞ {\displaystyle \sup |\Phi (x_{n})|<\infty } ,

lim Φ ′ ( x n ) = 0 {\displaystyle \lim \Phi '(x_{n})=0} in X ∗ {\displaystyle X^{*}} ,

Φ ( x n ) ≠ 0 {\displaystyle \Phi (x_{n})\neq 0} for all n ∈ N {\displaystyle n\in \mathbf {N} } , there exists a critical point x ¯ ∈ X {\displaystyle {\overline {x}}\in X} of Φ {\displaystyle \Phi } with

lim inf Φ ( x n ) ≤ Φ ( x ¯ ) ≤ lim sup Φ ( x n ) . {\displaystyle \liminf \Phi (x_{n})\leq \Phi ({\overline {x}})\leq \limsup \Phi (x_{n}).}

References Evans, Lawrence C. (1998). Partial Differential Equations. Providence, Rhode Island: American Mathematical Society. ISBN 0-8218-0772-2. Mawhin, Jean; Willem, Michel (2010). "Origin and Evolution of the Palais–Smale Condition in Critical Point Theory". Journal of Fixed Point Theory and Applications. 7 (2): 265–290. doi:10.1007/s11784-010-0019-7. S2CID 122094186. Palais, R. S.; Smale, S. (1964). "A generalized Morse theory". Bulletin of the American Mathematical Society. 70: 165–172. doi:10.1090/S0002-9904-1964-11062-4.

Worked examples

Example 1 — a first encounter with Palais–Smale compactness condition

Start with the simplest possible case. Write down what Palais–Smale compactness condition 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 Palais–Smale compactness condition 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 Palais–Smale compactness condition 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 Palais–Smale compactness condition

In research
Palais–Smale compactness condition 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 Palais–Smale compactness condition 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
Palais–Smale compactness condition is common in secondary-school and first-year university syllabi. It links to neighbouring topics Calculus of variations, so understanding it makes those chapters shorter.
In everyday life
Look for Palais–Smale compactness condition 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 Palais–Smale compactness condition in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Palais–Smale compactness condition 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 Palais–Smale compactness condition out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Palais–Smale compactness condition in simple terms?

The Palais–Smale compactness condition, named after Richard Palais and Stephen Smale, is a hypothesis for some theorems of the calculus of variations. It is useful for guaranteeing the existence of certain kinds of critical points, in particular saddle points.

Why does Palais–Smale compactness condition 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 Palais–Smale compactness condition?

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 Palais–Smale compactness condition.

Tags

  • Calculus of variations

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