Numerical analysis Nonlinear equations Theorem
Aberth method
Builds on Newton's methodRoot of a polynomialRate of convergenceComplex numbers
Statement
Let be a polynomial of degree with complex coefficients, whose roots are pairwise distinct. The Aberth method, also called the Aberth–Ehrlich method, updates approximations simultaneously by , where Then there is such that, if each starting value satisfies , the iterates are defined and converge to , with cubic convergence.
Remarks
The step is Newton's method applied to the rational function which has the same root as but whose poles push away from the other approximations. Indeed , and at is exactly . This repulsion tends to keep two approximations from converging to the same root. At multiple roots the convergence is only linear.
Going deeper
For a student
It improves the Durand–Kerner method, which converges only quadratically near simple roots. Each step costs operations, and the steps can be done in parallel or in Gauss–Seidel fashion, using new values as soon as they are known. It is the core of the MPSolve software for computing polynomial roots to high precision.
Reading path
To understand this page from the ground up, read these 9 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Complex numbers object
- Limit point of a set definition
- Rate of convergence concept
- Root of a polynomial concept
- Limit of a function definition
- Derivative definition
- Tangent line concept
- Newton's method concept
- Aberth method statement
Further reading
About this page
| Tag | BWQ8PVA9Q3 |
|---|---|
| URI | m2://BWQ8PVA9Q3 |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 65H04 |
| Status | This copy of the site has no build data. Run m2 status BWQ8PVA9Q3. |
| About | Root of a polynomial |
| Uses | Newton's method, Root of a polynomial, Rate of convergence, Complex numbers |
| Same as |
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