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Non-analytic smooth function

Non-analytic smooth function 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 Non-analytic smooth function rather than just read about it. In short: In real analysis, a smooth function is infinitely differentiable at each point in its domain, while a real analytic function is, at each point in its domain, the limit of a convergent power series in a neighbourhood of that point. All real analytic functions are smooth, but there exist smooth real functions that are not real analytic, as given below.

Non-analytic smooth function — main illustration
Non-analytic smooth function — illustration

Key takeaways

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

Reference excerpt

In real analysis, a smooth function is infinitely differentiable at each point in its domain, while a real analytic function is, at each point in its domain, the limit of a convergent power series in a neighbourhood of that point. All real analytic functions are smooth, but there exist smooth real functions that are not real analytic, as given below. The existence of smooth but non-analytic functions represents one of the main differences between differential geometry and analytic geometry. In terms of sheaf theory, this difference can be stated as follows: the sheaf of differentiable functions on a differentiable manifold is fine, in contrast with the analytic case. Smooth real functions with domain R n {\displaystyle \mathbb {R} ^{n}} and with support of compact closure (bump functions) are non-analytic at each boundary point of the closure of its support. One of the most important applications of smooth functions with support of compact closure is the construction of so-called mollifiers, which are important in theories of generalized functions, such as Laurent Schwartz's theory of distributions. The functions below are generally used to build up partitions of unity on differentiable manifolds.

An example function

Definition of the function

Consider the function

f ( x ) = { e − 1 x if x > 0 , 0 if x ≤ 0 , {\displaystyle f(x)={\begin{cases}e^{-{\frac {1}{x}}}&{\text{if }}x>0,\\0&{\text{if }}x\leq 0,\end{cases}}}

defined for every real number x.

The function is smooth The function f has continuous derivatives of all orders at every point x of the real line. The formula for these derivatives is

f ( n ) ( x ) = { p n ( x ) x 2 n f ( x ) if x > 0 , 0 if x ≤ 0 , {\displaystyle f^{(n)}(x)={\begin{cases}\displaystyle {\frac {p_{n}(x)}{x^{2n}}}\,f(x)&{\text{if }}x>0,\\0&{\text{if }}x\leq 0,\end{cases}}}

where pn(x) is a polynomial of degree n − 1 given recursively by p1(x) = 1 and

p n + 1 ( x ) = x 2 p n ′ ( x ) − ( 2 n x − 1 ) p n ( x ) {\displaystyle p_{n+1}(x)=x^{2}p_{n}'(x)-(2nx-1)p_{n}(x)}

for any positive integer n. From this formula, it is not completely clear that the derivatives are continuous at 0; this follows from the one-sided limit

lim x ↘ 0 e − 1 x x m = 0 {\displaystyle \lim _{x\searrow 0}{\frac {e^{-{\frac {1}{x}}}}{x^{m}}}=0}

for any nonnegative integer m.

The function is not analytic As seen earlier, the function f is smooth, and all its derivatives at the origin are 0. Therefore, the Taylor series of f at the origin converges everywhere to the zero function,

… excerpt ends here. Continue reading the full article.

Illustrations

Non-analytic smooth function: The smooth transition g from 0 to 1 defined here.
The smooth transition g from 0 to 1 defined here.
Non-analytic smooth function: Approximation of the smooth-everywhere, but nowhere-analytic function mentioned here. This partial sum is taken from k = 0 to 500.
Approximation of the smooth-everywhere, but nowhere-analytic function mentioned here. This partial sum is taken from k = 0 to 500.
Non-analytic smooth function: The function Ψ1(x) in one dimension.
The function Ψ1(x) in one dimension.

Worked examples

Example 1 — a first encounter with Non-analytic smooth function

Start with the simplest possible case. Write down what Non-analytic smooth function 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 Non-analytic smooth function 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 Non-analytic smooth function 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 Non-analytic smooth function

In research
Non-analytic smooth function 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 Non-analytic smooth function 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
Non-analytic smooth function is common in secondary-school and first-year university syllabi. It links to neighbouring topics Smooth functions, so understanding it makes those chapters shorter.
In everyday life
Look for Non-analytic smooth function 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 Non-analytic smooth function in 20 minutes

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

Frequently asked questions

What is Non-analytic smooth function in simple terms?

In real analysis, a smooth function is infinitely differentiable at each point in its domain, while a real analytic function is, at each point in its domain, the limit of a convergent power series in a neighbourhood of that point. All real analytic functions are smooth, but there exist smooth real…

Why does Non-analytic smooth function 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 Non-analytic smooth function?

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 Non-analytic smooth function.

Tags

  • Smooth functions

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