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Weierstrass preparation theorem

Weierstrass preparation theorem 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 Weierstrass preparation theorem rather than just read about it. In short: In mathematics, the Weierstrass preparation theorem is a tool for dealing with analytic functions of several complex variables, at a given point P. It states that such a function is, up to multiplication by a function not zero at P, a polynomial in one fixed variable z, which is monic, and whose coefficients of lower degree terms are analytic functions in the remaining variables and zero at P.

Key takeaways

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

Reference excerpt

In mathematics, the Weierstrass preparation theorem is a tool for dealing with analytic functions of several complex variables, at a given point P. It states that such a function is, up to multiplication by a function not zero at P, a polynomial in one fixed variable z, which is monic, and whose coefficients of lower degree terms are analytic functions in the remaining variables and zero at P. There are also a number of variants of the theorem, that extend the idea of factorization in some ring R as u·w, where u is a unit and w is some sort of distinguished Weierstrass polynomial. Carl Siegel has disputed the attribution of the theorem to Weierstrass, saying that it occurred under the current name in some of late nineteenth century Traités d'analyse without justification.

Complex analytic functions For one variable, the local form of an analytic function f(z) near 0 is zkh(z) where h(0) is not 0, and k is the order of the zero of f at 0. This is the result that the preparation theorem generalises. We pick out one variable z, which we may assume is first, and write our complex variables as (z, z2, ..., zn). A Weierstrass polynomial W(z) is

zk + gk−1zk−1 + ... + g0 where gi(z2, ..., zn) is analytic and gi(0, ..., 0) = 0. Then the theorem states that for analytic functions f, if

f(0, ...,0) = 0, and

f(z, z2, ..., zn) as a power series has some term only involving z, we can write (locally near (0, ..., 0))

f(z, z2, ..., zn) = W(z)h(z, z2, ..., zn) with h analytic and h(0, ..., 0) not 0, and W a Weierstrass polynomial. This has the immediate consequence that the set of zeros of f, near (0, ..., 0), can be found by fixing any small values of z2, ..., zn and then solving the equation W(z)=0. The corresponding values of z form a number of continuously-varying branches, in number equal to the degree of W in z. In particular f cannot have an isolated zero.

Division theorem A related result is the Weierstrass division theorem, which states that if f and g are analytic functions, and g is a Weierstrass polynomial of degree N, then there exists a unique pair h and j such that f = gh + j, where j is a polynomial of degree less than N. In fact, many authors prove the Weierstrass preparation as a corollary of the division theorem. It is also possible to prove the division theorem from the preparation theorem so that the two theorems are actually equivalent.

Applications The Weierstrass preparation theorem can be used to show that the ring of germs of analytic functions in n variables is a Noetherian ring, which is also referred to as the Rückert basis theorem.

Smooth functions There is a deeper preparation theorem for smooth functions, due to Bernard Malgrange, called the Malgrange preparation theorem. It also has an associated division theorem, named after John Mather.

Formal power series in complete local rings There is an analogous result, also referred to as the Weierstrass preparation theorem, for the ring of formal power series over complete local rings A: for any power series f = ∑ n = 0 ∞ a n t n ∈ A [ [ t ] ] {\displaystyle f=\sum _{n=0}^{\infty }a_{n}t^{n}\in A[[t]]} such that not all a n {\displaystyle a_{n}} are in the maximal ideal m {\displaystyle {\mathfrak {m}}} of A, there is a unique unit u in A [ [ t ] ] {\displaystyle A[[t]]} and a polynomial F of the form F = t s + b s − 1 t s − 1 + ⋯ + b 0 {\displaystyle F=t^{s}+b_{s-1}t^{s-1}+\dots +b_{0}} with b i ∈ m {\displaystyle b_{i}\in {\mathfrak {m}}} (a so-called distinguished polynomial) such that

f = u F . {\displaystyle f=uF.}

Since A [ [ t ] ] {\displaystyle A[[t]]} is again a complete local ring, the result can be iterated and therefore gives similar factorization results for formal power series in several variables. For example, this applies to the ring of integers in a p-adic field. In this case the theorem says that a power series f(z) can always be uniquely factored as πn·u(z)·p(z), where u(z) is a unit in the ring of power series, p(z) is a distinguished polynomial (monic, with the coefficients of the non-leading terms each in the maximal ideal), and π is a fixed uniformizer. An application of the Weierstrass preparation and division theorem for the ring Z p [ [ t ] ] {\displaystyle \mathbf {Z} _{p}[[t]]} (also called Iwasawa algebra) occurs in Iwasawa theory in the description of finitely generated modules over this ring. There exists a non-commutative version of Weierstrass division and preparation, with A being a not necessarily commutative ring, and with formal skew power series in place of formal power series.

Tate algebras There is also a Weierstrass preparation theorem for Tate algebras

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Weierstrass preparation theorem

Start with the simplest possible case. Write down what Weierstrass preparation theorem 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 Weierstrass preparation theorem 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 Weierstrass preparation theorem 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 Weierstrass preparation theorem

In research
Weierstrass preparation theorem 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 Weierstrass preparation theorem 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
Weierstrass preparation theorem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Commutative algebra, Several complex variables, Theorems in complex analysis, so understanding it makes those chapters shorter.
In everyday life
Look for Weierstrass preparation theorem 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 Weierstrass preparation theorem in 20 minutes

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

Frequently asked questions

What is Weierstrass preparation theorem in simple terms?

In mathematics, the Weierstrass preparation theorem is a tool for dealing with analytic functions of several complex variables, at a given point P. It states that such a function is, up to multiplication by a function not zero at P, a polynomial in one fixed variable z, which is monic, and whose co…

Why does Weierstrass preparation theorem 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 Weierstrass preparation theorem?

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 Weierstrass preparation theorem.

Tags

  • Commutative algebra
  • Several complex variables
  • Theorems in complex analysis

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