How Do You Decompose the Jacobian of a Polynomial in Algebraic Geometry?

In summary, the singular points of $f$ are $(x,0,0)$ for any $x\in k$, and the minimal primary decomposition of the jacobian of $f$ is $\langle y,z\rangle$.
  • #1
Fermat1
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Let $m$ be an integer ${\geq}3$ and $f(x,y,z)=y^m(x+y^3)-z^3$ be in $k[x,y,z]$. Find the singular points of $f$ and find a minimal primary decomposition of the jacobian of $f$.

I find the set of singular points of $f$ to be {$(x,0,0): {x\in k} $} and the jacobian to be $\langle y^m,mxy^{m-1},-3z^2\rangle$. How do I find a minimal primary decomposition?

Thanks
 
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  • #2
for your post! You are correct in identifying the singular points of $f$ as the set $(x,0,0)$ for any $x\in k$. This is because the partial derivative with respect to $y$ is always $mx^{m-1}$, which is only zero when $x=0$. And since $x$ appears in every term of $f$, setting it to $0$ will result in a singular point.

To find a minimal primary decomposition of the jacobian, we can use the following steps:

1. Calculate the radical of the jacobian ideal: In this case, the radical is simply $\langle y,z\rangle$, since these are the only prime ideals that contain all the generators of the jacobian.

2. Determine the minimal primes of the radical: The minimal primes of $\langle y,z\rangle$ are $\langle y\rangle$ and $\langle z\rangle$.

3. Decompose the radical into primary ideals: Since $\langle y\rangle$ and $\langle z\rangle$ are already prime, they are their own primary decompositions.

4. Check for redundancy: In this case, there is no redundancy since the minimal primes are already in their prime forms.

Therefore, the minimal primary decomposition of the jacobian of $f$ is $\langle y\rangle \cap \langle z\rangle = \langle y,z\rangle$.
 

FAQ: How Do You Decompose the Jacobian of a Polynomial in Algebraic Geometry?

What is minimal primary decomposition?

Minimal primary decomposition is a mathematical concept that is used to break down a given ideal in a polynomial ring into a finite intersection of primary ideals. This decomposition helps to simplify the study of algebraic varieties and is useful in various fields of mathematics, such as commutative algebra and algebraic geometry.

Why is minimal primary decomposition important?

Minimal primary decomposition allows for a better understanding of the structure of ideals in a polynomial ring, which can then be applied to solve problems in algebraic geometry and other areas of mathematics. It also helps to reduce the number of variables and simplify calculations, making it a powerful tool for researchers and mathematicians.

How is minimal primary decomposition calculated?

The calculation of minimal primary decomposition involves finding the primary components of a given ideal and then taking the intersection of these components. This process can be done using various algorithms, such as the Buchberger algorithm or Gröbner bases. Computer algebra systems, such as Mathematica and Maple, also have built-in functions for calculating minimal primary decomposition.

What are the applications of minimal primary decomposition?

Minimal primary decomposition has various applications in mathematics and related fields. It is used in algebraic geometry to study the geometry of algebraic varieties and in commutative algebra to understand the structure of ideals. It is also used in coding theory, cryptography, and other areas of computer science.

Are there any limitations to minimal primary decomposition?

While minimal primary decomposition is a powerful tool, it does have some limitations. It can only be applied to ideals in polynomial rings over fields, and the calculation can become computationally intensive for large or complicated ideals. Additionally, the decomposition may not always be unique, and finding the minimal components can be challenging in some cases.

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