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Hölder condition

Hölder 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 Hölder condition rather than just read about it. In short: In mathematics, we say that a function satisfies a Hölder condition, or is α {\displaystyle \alpha } -Hölder continuous or simply Hölder continuous, if for a real or complex-valued function f {\displaystyle f} on d {\displaystyle d} -dimensional Euclidean space, i.e. f : Ω → R {\displaystyle f:\Omega \to \mathbb {R} } or C {\displaystyle \mathbb {C} } (where Ω ⊆ R d {\displaystyle \Omega \subseteq \mathbb {R} ^{d}}…

Key takeaways

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

Reference excerpt

In mathematics, we say that a function satisfies a Hölder condition, or is α {\displaystyle \alpha } -Hölder continuous or simply Hölder continuous, if for a real or complex-valued function f {\displaystyle f} on d {\displaystyle d} -dimensional Euclidean space, i.e. f : Ω → R {\displaystyle f:\Omega \to \mathbb {R} } or C {\displaystyle \mathbb {C} } (where Ω ⊆ R d {\displaystyle \Omega \subseteq \mathbb {R} ^{d}} or C d {\displaystyle \mathbb {C} ^{d}} ), when there are real constants C ≥ 0 {\displaystyle C\geq 0} , α > 0 {\displaystyle \alpha >0} , such that

| f ( x ) − f ( y ) | ≤ C ‖ x − y ‖ α {\displaystyle |f(x)-f(y)|\leq C\|x-y\|^{\alpha }}

for all x , y ∈ Ω {\displaystyle x,y\in \Omega } . More generally, the condition can be formulated for functions between any two metric spaces. The number α {\displaystyle \alpha } is called the exponent of the Hölder condition. A function on an interval satisfying the condition with α > 1 {\displaystyle \alpha >1} is constant (see proof below). If α = 1 {\displaystyle \alpha =1} , then the function satisfies a Lipschitz condition. For any α > 0 {\displaystyle \alpha >0} , the condition implies the function is uniformly continuous. The condition is named after Otto Hölder. If α = 0 {\displaystyle \alpha =0} , the function is simply bounded (any two values f {\displaystyle f} takes are at most C {\displaystyle C} apart). We have the following chain of inclusions for functions defined on a closed and bounded interval [a, b] of the real line with a < b:

where 0 < α ≤ 1.

Hölder spaces Hölder spaces consisting of functions satisfying a Hölder condition are basic in areas of functional analysis relevant to solving partial differential equations, and in dynamical systems. The Hölder space Ck,α(Ω), where Ω is an open subset of some Euclidean space and k ≥ 0 an integer, consists of those functions on Ω having continuous derivatives up through order k and such that the k-th partial derivatives are Hölder continuous with exponent α, where 0 < α ≤ 1. This is a locally convex topological vector space. If the Hölder coefficient

| f | C 0 , α = sup x , y ∈ Ω , x ≠ y | f ( x ) − f ( y ) | ‖ x − y ‖ α , {\displaystyle \left|f\right|_{C^{0,\alpha }}=\sup _{x,y\in \Omega ,x\neq y}{\frac {|f(x)-f(y)|}{\left\|x-y\right\|^{\alpha }}},}

is finite, then the function f is said to be (uniformly) Hölder continuous with exponent α in Ω. In this case, the Hölder coefficient serves as a seminorm. If the Hölder coefficient is merely bounded on compact subsets of Ω, then the function f is said to be locally Hölder continuous with exponent α in Ω. If the function f and its derivatives up to order k are bounded on the closure of Ω, then the Hölder space C k , α ( Ω ¯ ) {\displaystyle C^{k,\alpha }({\overline {\Omega }})} can be assigned the norm

‖ f ‖ C k , α = ‖ f ‖ C k + max | β | = k | D β f | C 0 , α {\displaystyle \left\|f\right\|_{C^{k,\alpha }}=\left\|f\right\|_{C^{k}}+\max _{|\beta |=k}\left|D^{\beta }f\right|_{C^{0,\alpha }}}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Hölder condition

Start with the simplest possible case. Write down what Hölder 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 Hölder 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 Hölder 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 Hölder condition

In research
Hölder 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 Hölder 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
Hölder condition is common in secondary-school and first-year university syllabi. It links to neighbouring topics Function spaces, Functional analysis, Lipschitz maps, so understanding it makes those chapters shorter.
In everyday life
Look for Hölder 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 Hölder condition in 20 minutes

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

Frequently asked questions

What is Hölder condition in simple terms?

In mathematics, we say that a function satisfies a Hölder condition, or is α {\displaystyle \alpha } -Hölder continuous or simply Hölder continuous, if for a real or complex-valued function f {\displaystyle f} on d {\displaystyle d} -dimensional Euclidean space, i.e. f : Ω → R {\displaystyle f:\Ome…

Why does Hölder 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 Hölder 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 Hölder condition.

Tags

  • Function spaces
  • Functional analysis
  • Lipschitz maps

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