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Weierstrass factorization theorem

Weierstrass factorization 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 factorization theorem rather than just read about it. In short: In mathematics, and particularly in the field of complex analysis, the Weierstrass factorization theorem asserts that every entire function can be represented as a (possibly infinite) product involving its zeroes. The theorem may be viewed as an extension of the fundamental theorem of algebra, which asserts that every polynomial may be factored into linear factors, one for each root.

Weierstrass factorization theorem — main illustration
Weierstrass factorization theorem — illustration

Key takeaways

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

Reference excerpt

In mathematics, and particularly in the field of complex analysis, the Weierstrass factorization theorem asserts that every entire function can be represented as a (possibly infinite) product involving its zeroes. The theorem may be viewed as an extension of the fundamental theorem of algebra, which asserts that every polynomial may be factored into linear factors, one for each root. The theorem, which is named for Karl Weierstrass, is closely related to a second result that every sequence tending to infinity has an associated entire function with zeroes at precisely the points of that sequence. A generalization of the theorem extends it to meromorphic functions and allows one to consider a given meromorphic function as a product of three factors: terms depending on the function's zeros and poles, and an associated non-zero holomorphic function.

Motivation It is clear that any finite set { c n } {\displaystyle \{c_{n}\}} of points in the complex plane has an associated polynomial p ( z ) = ∏ n ( z − c n ) {\textstyle p(z)=\prod _{n}(z-c_{n})} whose zeroes are precisely at the points of that set. The converse is a consequence of the fundamental theorem of algebra: any polynomial function p ( z ) {\displaystyle p(z)} in the complex plane has a factorization

p ( z ) = a ∏ n ( z − c n ) , {\textstyle p(z)=a\prod _{n}(z-c_{n}),} where a is a non-zero constant and { c n } {\displaystyle \{c_{n}\}} is the set of zeroes of p ( z ) {\displaystyle p(z)} . The two forms of the Weierstrass factorization theorem can be thought of as extensions of the above to entire functions. The necessity of additional terms in the product is demonstrated when one considers ∏ n ( z − c n ) {\textstyle \prod _{n}(z-c_{n})} where the sequence { c n } {\displaystyle \{c_{n}\}} is not finite. It can never define an entire function, because the infinite product does not converge. Thus one cannot, in general, define an entire function from a sequence of prescribed zeroes or represent an entire function by its zeroes using the expressions yielded by the fundamental theorem of algebra. Instead, the theorem replaces these with other factors. A necessary condition for convergence of the infinite product in question is that for each z {\displaystyle z} , the factors replacing ( z − c n ) {\displaystyle (z-c_{n})} must approach 1 as n → ∞ {\displaystyle n\to \infty } . So it stands to reason that one should seek factor functions that could be 0 at a prescribed point, yet remain near 1 when not at that point, and furthermore introduce no more zeroes than those prescribed. Weierstrass' elementary factors have these properties and serve the same purpose as the factors ( z − c n ) {\displaystyle (z-c_{n})} above.

Elementary factors Consider the functions of the form exp ⁡ ( − z n + 1 n + 1 ) {\textstyle \exp \left(-{\tfrac {z^{n+1}}{n+1}}\right)} for n ∈ N {\displaystyle n\in \mathbb {N} } . At z = 0 {\displaystyle z=0} , they evaluate to 1 {\displaystyle 1} and have a flat slope at order up to n {\displaystyle n} . Right after z = 1 {\displaystyle z=1} , they sharply fall to some small positive value. In contrast, consider the function 1 − z {\displaystyle 1-z} which has no flat slope but, at z = 1 {\displaystyle z=1} , evaluates to exactly zero. Also note that for |z| < 1,

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Weierstrass factorization theorem

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

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

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

Frequently asked questions

What is Weierstrass factorization theorem in simple terms?

In mathematics, and particularly in the field of complex analysis, the Weierstrass factorization theorem asserts that every entire function can be represented as a (possibly infinite) product involving its zeroes. The theorem may be viewed as an extension of the fundamental theorem of algebra, whic…

Why does Weierstrass factorization 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 factorization 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 factorization theorem.

Tags

  • Infinite products
  • Theorems in complex analysis

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