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Whitney inequality

Whitney inequality is a science 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 Whitney inequality rather than just read about it. In short: In mathematics, the Whitney inequality gives an upper bound for the error of best approximation of a function by polynomials in terms of the moduli of smoothness. It was first proved by Hassler Whitney in 1957, and is an important tool in the field of approximation theory for obtaining upper estimates on the errors of best approximation.

Key takeaways

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

Reference excerpt

In mathematics, the Whitney inequality gives an upper bound for the error of best approximation of a function by polynomials in terms of the moduli of smoothness. It was first proved by Hassler Whitney in 1957, and is an important tool in the field of approximation theory for obtaining upper estimates on the errors of best approximation.

Statement of the theorem Denote the value of the best uniform approximation of a function f ∈ C ( [ a , b ] ) {\displaystyle f\in C([a,b])} by algebraic polynomials P n {\displaystyle P_{n}} of degree ≤ n {\displaystyle \leq n} by

E n ( f ) [ a , b ] := inf P n ‖ f − P n ‖ C ( [ a , b ] ) {\displaystyle E_{n}(f)_{[a,b]}:=\inf _{P_{n}}{\|f-P_{n}\|_{C([a,b])}}}

The moduli of smoothness of order k {\displaystyle k} of a function f ∈ C ( [ a , b ] ) {\displaystyle f\in C([a,b])} are defined as:

ω k ( t ) := ω k ( t ; f ; [ a , b ] ) := sup h ∈ [ 0 , t ] ‖ Δ h k ( f ; ⋅ ) ‖ C ( [ a , b − k h ] ) for t ∈ [ 0 , ( b − a ) / k ] , {\displaystyle \omega _{k}(t):=\omega _{k}(t;f;[a,b]):=\sup _{h\in [0,t]}\|\Delta _{h}^{k}(f;\cdot )\|_{C([a,b-kh])}\quad {\text{ for }}\quad t\in [0,(b-a)/k],}

ω k ( t ) := ω k ( ( b − a ) / k ) for t > ( b − a ) / k , {\displaystyle \omega _{k}(t):=\omega _{k}((b-a)/k)\quad {\text{ for}}\quad t>(b-a)/k,}

where Δ h k {\displaystyle \Delta _{h}^{k}} is the finite difference of order k {\displaystyle k} . Theorem: [Whitney, 1957] If f ∈ C ( [ a , b ] ) {\displaystyle f\in C([a,b])} , then

E k − 1 ( f ) [ a , b ] ≤ W k ω k ( b − a k ; f ; [ a , b ] ) {\displaystyle E_{k-1}(f)_{[a,b]}\leq W_{k}\omega _{k}\left({\frac {b-a}{k}};f;[a,b]\right)}

where W k {\displaystyle W_{k}} is a constant depending only on k {\displaystyle k} . The Whitney constant W ( k ) {\displaystyle W(k)} is the smallest value of W k {\displaystyle W_{k}} for which the above inequality holds. The theorem is particularly useful when applied on intervals of small length, leading to good estimates on the error of spline approximation.

Proof The original proof given by Whitney follows an analytic argument which utilizes the properties of moduli of smoothness. However, it can also be proved in a much shorter way using Peetre's K-functionals. Let:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Whitney inequality

Start with the simplest possible case. Write down what Whitney inequality claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Whitney inequality 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 Whitney inequality 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 Whitney inequality

In research
Whitney inequality appears in science 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 Whitney inequality 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
Whitney inequality is common in secondary-school and first-year university syllabi. It links to neighbouring topics Approximation theory, Numerical analysis, so understanding it makes those chapters shorter.
In everyday life
Look for Whitney inequality 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 Whitney inequality in 20 minutes

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

Frequently asked questions

What is Whitney inequality in simple terms?

In mathematics, the Whitney inequality gives an upper bound for the error of best approximation of a function by polynomials in terms of the moduli of smoothness. It was first proved by Hassler Whitney in 1957, and is an important tool in the field of approximation theory for obtaining upper estima…

Why does Whitney inequality matter?

Because it connects several science 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 Whitney inequality?

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 Whitney inequality.

Tags

  • Approximation theory
  • Numerical analysis

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