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Tarski–Seidenberg theorem

Tarski–Seidenberg 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 Tarski–Seidenberg theorem rather than just read about it. In short: In mathematics, the Tarski–Seidenberg theorem is a theorem on semialgebraic sets, that is, subsets of real coordinate spaces that can be defined by a finite set of polynomial equations and polynomial inequalities. This theorem was proved by Alfred Tarski in 1930 in view of his proof that the theory of real closed fields is complete (every formula can be proved either as true or as false) and admits quantifier elimin…

Key takeaways

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

Reference excerpt

In mathematics, the Tarski–Seidenberg theorem is a theorem on semialgebraic sets, that is, subsets of real coordinate spaces that can be defined by a finite set of polynomial equations and polynomial inequalities. This theorem was proved by Alfred Tarski in 1930 in view of his proof that the theory of real closed fields is complete (every formula can be proved either as true or as false) and admits quantifier elimination. The theorem was later discovered indepedently by Abraham Seidenberg in the context of constructive mathematics. The theorem states that, given a set S in the (n + 1)-dimensional space, which is defined by polynomial equations and inequalities involving (n + 1) variables, the projection eliminating one of the variables can be defined similarly. In other words, if ⁠ F ( y , x 1 , … , x n ) {\displaystyle {\mathcal {F}}(y,x_{1},\ldots ,x_{n})} ⁠ is the formula defining S, there exists a formula ⁠ G ( x 1 , … , x n ) {\displaystyle {\mathcal {G}}(x_{1},\ldots ,x_{n})} ⁠ that define the same set as ⁠ ∃ y ∣ F ( y , x 1 , … , x n ) {\displaystyle \exists y\mid {\mathcal {F}}(y,x_{1},\ldots ,x_{n})} ⁠. Although the original proof of the theorem was constructive, the resulting algorithm is galactic, that is, it has a computational complexity that is far too high for using the method on a computer. George E. Collins introduced the algorithm of cylindrical algebraic decomposition, which allows quantifier elimination over the reals in double exponential time. This complexity is optimal, as there are examples where the output has a double exponential number of connected components. Collins's algorithm is therefore fundamental and widely used in computational algebraic geometry.

First order formulas A formula of the first-order theory of the real numbers is a well-formed formula involved only the quantifier ⁠ ∀ , ∃ {\displaystyle \forall ,\exists } ⁠, the logical connectives ⁠ ∧ , ∨ , ¬ {\displaystyle \land ,\lor ,\lnot } ⁠, real numbers and variables representing real numbers, equality and inequality signs ⁠ = , < , ≤ {\displaystyle =,<,\leq } ⁠, and the basic arithmetic operators ⁠ + , − , × , / {\displaystyle +,-,\times ,/} ⁠. A formula is quantifier free if does not involve any quantifier. Two formulas are equivalent if they evaluate to the same truth value for every choice of (real) values for the variables. In particular, a formula is true or false for every values of the variables if it is equivalent to ⁠ 0 = 0 {\displaystyle 0=0} ⁠ or ⁠ 1 = 0 {\displaystyle 1=0} ⁠ Elimination of quantifiers consists of providing an algorithm that, for every formula computes an equivalent quantifier-free formula. If quantifier elimination occurs, the theory is complete in the sense that one can decide whether a variable-free formula is true of false. Tarski–Seidenberg theorem is that quantifier elimination is possible in the first-order theory of the real numbers, and thus that this theory is complete

Semialgebraic sets

A semialgebraic set is a set defined by a quantifier-free formula of the first-order theory of the real numbers. By standard logical (disjunctive normal form) and algebraic manipulations, it is straightforward to show that a semialgebraic set in Rn is formed by taking a finite union of basic semialgebraic sets. A basic semialgebraic set is the set of all points that simultaneously satisfy a finite number of polynomial equations and inequalities of the form

p ( x 1 , … , x n ) = 0 {\displaystyle p(x_{1},\ldots ,x_{n})=0\,}

and

q ( x 1 , … , x n ) > 0 {\displaystyle q(x_{1},\ldots ,x_{n})>0\,}

for polynomials p and q. For example, a basic semialgebraic set in ⁠ R {\displaystyle \mathbb {R} } ⁠ either consists of a finite number of points or is a finite union of open intervals. Conversely a singleton formed by an algebraic number is a basic semialgebraic set, and every interval (open of not) is a semialgebraic set if its end points are algebraic numbers.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Tarski–Seidenberg theorem

Start with the simplest possible case. Write down what Tarski–Seidenberg 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 Tarski–Seidenberg 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 Tarski–Seidenberg 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 Tarski–Seidenberg theorem

In research
Tarski–Seidenberg 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 Tarski–Seidenberg 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
Tarski–Seidenberg theorem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Real algebraic geometry, Theorems in algebraic geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Tarski–Seidenberg 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 Tarski–Seidenberg theorem in 20 minutes

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

Frequently asked questions

What is Tarski–Seidenberg theorem in simple terms?

In mathematics, the Tarski–Seidenberg theorem is a theorem on semialgebraic sets, that is, subsets of real coordinate spaces that can be defined by a finite set of polynomial equations and polynomial inequalities. This theorem was proved by Alfred Tarski in 1930 in view of his proof that the theory…

Why does Tarski–Seidenberg 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 Tarski–Seidenberg 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 Tarski–Seidenberg theorem.

Tags

  • Real algebraic geometry
  • Theorems in algebraic geometry

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