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Jacobian conjecture

Jacobian conjecture 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 Jacobian conjecture rather than just read about it. In short: In mathematics, the Jacobian conjecture is a conjecture concerning polynomials in several variables that states that if a polynomial function from an n {\displaystyle n} -dimensional space to itself has a Jacobian determinant that is a non-zero constant, then the function has a polynomial inverse. The case n = 2 {\displaystyle n=2} (two variables), also called the plane Jacobian conjecture or planar Jacobian conject…

Key takeaways

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

Reference excerpt

In mathematics, the Jacobian conjecture is a conjecture concerning polynomials in several variables that states that if a polynomial function from an n {\displaystyle n} -dimensional space to itself has a Jacobian determinant that is a non-zero constant, then the function has a polynomial inverse. The case n = 2 {\displaystyle n=2} (two variables), also called the plane Jacobian conjecture or planar Jacobian conjecture, is the only case that remains unresolved as of 2026. The case n = 1 {\displaystyle n=1} is trivially true, since the derivative of a polynomial is a nonzero constant only if the degree of the polynomial is 1 , {\displaystyle 1,} and linear polynomial functions are invertible. On July 19, 2026, Levent Alpöge presented an explicit counterexample in three variables which he credited to Claude Fable 5, which disproves the conjecture for ⁠ n > 2 {\displaystyle n>2} ⁠. The correctness of the counterexample is easy to verify with any computer algebra system. It has not been revealed, however, how it was found. Nevertheless, it led some mathematicians to elaborate on the mathematical reasons and the implications of the existence of the counterexample.

History The Jacobian conjecture was originally formulated without being named in two dimensions by Ludwig Kraus in 1884, who gave a flawed proof in the same paper. Later, the modern version of the Jacobian conjecture in n {\displaystyle n} dimensions was formulated by Ott-Heinrich Keller in 1939 for the case of polynomials with integer coefficients. Arno van den Essen has claimed that Keller only talked about the two-dimensional case; however, Keller in fact did talk about the general n {\displaystyle n} -dimensional case. For nearly a century, Keller was considered to be the first person to formulate the conjecture, until a 2025 search of the zbMATH database revealed that the two-dimensional case had already been stated by Kraus. The conjecture was unnamed in either of Kraus's or Keller's original papers. It is unclear who coined the name "Jacobian conjecture", but this was because it involves the Jacobian determinant, itself named after the German mathematician Carl Gustav Jacob Jacobi. The earliest known published use of the name occurs in Masayoshi Miyanishi's 1973 paper, where it refers to the n {\displaystyle n} -dimensional conjecture. Tzuong-Tsieng Moh later recalled that, after Oscar Zariski pointed out at a seminar at Purdue University in the late 1960s that the assertion remained unproved, "we decided to call it the Jacobian Conjecture". Alexander Borisov later attributed the coinage specifically to Shreeram Abhyankar, whose 1977 lecture notes treated the two-dimensional problem and presented results that he had obtained in 1970–71. The conjecture, also called Jacobian problem, was subsequently widely publicized by Abhyankar as an example of a difficult question in algebraic geometry that can be understood using little beyond a knowledge of calculus. The Jacobian conjecture is number 16 in Stephen Smale's 1998 list of Mathematical Problems for the Next Century. According to Alexander Borisov, the conjecture in two dimensions has been especially well studied in the literature on the conjecture. Historically, some mathematicians, such as Shreeram Abhyankar, Tzuong-Tsieng Moh, and Yitang Zhang, have used the term Jacobian conjecture or Jacobian problem to refer to only the conjecture in two dimensions. There have been a large number of false proofs of the conjecture in two dimensions, some of them published. Arno van den Essen in 1997, Tzuong-Tsieng Moh in 1998, and Edward Formanek in 2011 all hypothesized that the conjecture could be true in two dimensions and false in the general case. After the counterexample in three dimensions was discovered in 2026 only the conjecture in two dimensions remains open.

Formulation of the conjecture Let n > 1 {\displaystyle n>1} be a fixed integer and consider polynomials f 1 , … , f n {\displaystyle f_{1},\dots ,f_{n}} in variables X 1 , … , X n {\displaystyle X_{1},\dots ,X_{n}} with coefficients in a field K {\displaystyle \mathbb {K} } . Then we define a vector-valued function F : K n → K n {\displaystyle F:\mathbb {K} ^{n}\to \mathbb {K} ^{n}} by setting:

F ( X 1 , … , X n ) = ( f 1 ( X 1 , … , X n ) , … , f n ( X 1 , … , X n ) ) {\displaystyle F(X_{1},\dots ,X_{n})=(f_{1}(X_{1},\dots ,X_{n}),\dots ,f_{n}(X_{1},\dots ,X_{n}))}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Jacobian conjecture

Start with the simplest possible case. Write down what Jacobian conjecture 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 Jacobian conjecture 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 Jacobian conjecture 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 Jacobian conjecture

In research
Jacobian conjecture 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 Jacobian conjecture 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
Jacobian conjecture is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebraic geometry, Computational mathematics, Partially resolved conjectures, so understanding it makes those chapters shorter.
In everyday life
Look for Jacobian conjecture 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 Jacobian conjecture in 20 minutes

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

Frequently asked questions

What is Jacobian conjecture in simple terms?

In mathematics, the Jacobian conjecture is a conjecture concerning polynomials in several variables that states that if a polynomial function from an n {\displaystyle n} -dimensional space to itself has a Jacobian determinant that is a non-zero constant, then the function has a polynomial inverse…

Why does Jacobian conjecture 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 Jacobian conjecture?

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 Jacobian conjecture.

Tags

  • Algebraic geometry
  • Computational mathematics
  • Partially resolved conjectures
  • Polynomials

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