Existence Verification for Higher Degree Singular Zeros of Nonlinear Systems (original) (raw)

Existence verification for singular and nonsmooth zeros of real nonlinear systems

Mathematics of Computation, 2002

Traditional computational fixed point theorems, such as the Kantorovich theorem (made rigorous with directed roundings), Krawczyk's method, or interval Newton methods use a computer's floating-point hardware computations to mathematically prove existence and uniqueness of a solution to a nonlinear system of equations within a given region of n-space. Such computations require the Jacobi matrix of the system to be nonsingular in a neighborhood of a solution. However, in previous work we showed how we could mathematically verify existence of singular solutions in a small region of complex n-space containing an approximate real solution. We verified existence of such singular solutions by verifying that the topological degree of a small region is nonzero; a nonzero topological degree implies existence of a solution in the interior of the region. Here, we show that, when the actual topological degree in complex space is odd and the rank defect of the Jacobi matrix is one, the topological degree of a small region containing the singular solution can be verified to be plus or minus one in real space. The algorithm for verification in real space is significantly simpler and more efficient. We demonstrate this efficiency with numerical experiments.

Existence verification for singular zeros of complex nonlinear systems

SIAM Journal on Numerical Analysis, 2000

Computational fixed point theorems can be used to automatically verify existence and uniqueness of a solution to a nonlinear system of n equations in n variables ranging within a given region of n-space. Such computations succeed, however, only when the Jacobi matrix is nonsingular everywhere in this region. However, in problems such as bifurcation problems or surface intersection problems, the Jacobi matrix can be singular, or nearly so, at the solution. For n real variables, when the Jacobi matrix is singular, tiny perturbations of ...

Existence verification for singular zeros of nonlinear systems

1999

Abstract. Computational fixed point theorems can be used to automatically verify existence and uniqueness of a solution to a nonlinear system of equations F (x)= 0, F: Rn→ Rn within a given region x of n-space. But such computations succeed only when the Jacobi matrix F (x) is nonsingular everywhere in x. However, in many practical problems, the Jacobi matrix is singular, or nearly so, at the solution x∗, F (x∗)= 0. In such cases, arbitrarily small perturbations of the problem result in problems F (x)= 0 either with no solutions in x or with ...

A Symbolic-numeric Algorithm for Computing Isolated Singular Solutions of Nonlinear Systems Accurately: Case of Breadth One

We present a symbolic-numeric method to refine an approximate isolated singular solutio x of a polynomial system F when the Jacobian matrix of F evaluated a x has corank one. Our new approach is based on the regularized Newton iteration and the computation of Max Noether conditions satisfied at the singular solution. The method has been implemented in Maple and can deal with regular singularities and irregular singularities. For multiplicity being 2 or 3, we prove the quadratical convergence of our algorithm. Numerical experiments show that the new algorithm converges quadratically for arbitrary large multiplicity.

Computing singular solutions to polynomial systems

Advances in Applied Mathematics, 1992

A method to generate accurate approximations to the singular solutions of a system of (complex) polynomial equations is presented. This method is established in a context of polynomial continuation; thus, all solutions are generated, with the singular solutions being approximated more accurately than by standard implementations. The theorem on which the method is based is proven using results from several complex variables and algebraic geometry. No special conditions on the derivatives of the system, such as restrictions on the rank of the Jacobian matrix at solutions, are required. A specific implementation is given and the results of numerical experiments in solving four test problems are presented. 0 1992 Academic Press, Inc.

Verified Error Bounds for Isolated Singular Solutions of Polynomial Systems

SIAM Journal on Numerical Analysis, 2014

In this paper, we generalize the algorithm described by Rump and Graillat, as well as our previous work on certifying breadth-one singular solutions of polynomial systems, to compute verified and narrow error bounds such that a slightly perturbed system is guaranteed to possess an isolated singular solution within the computed bounds. Our new verification method is based on deflation techniques using smoothing parameters. We demonstrate the performance of the algorithm for systems with singular solutions of multiplicity up to hundreds.

Solving systems of nonlinear equations using the nonzero value of the topological degree

ACM Transactions on Mathematical Software, 1988

A software package based on a modification of the Weeks' method is presented for calculating function values f(t) of the inverse Laplace transform. This method requires transform values F(t) at arbitrary points in the complex plane, and is suitable when f(t) has continuous derivatives of all orders; it is especially attractive when f(t) is required at a number of different abscissas t.

Computing Isolated Singular Solutions of Polynomial Systems: Case of Breadth One

SIAM Journal on Numerical Analysis, 2012

We present a symbolic-numeric method to refine an approximate isolated singular solutionx = (x 1 , . . . ,xn) of a polynomial system F = {f 1 , . . . , fn} when the Jacobian matrix of F evaluated atx has corank one approximately. Our new approach is based on the regularized Newton iteration and the computation of approximate Max Noether conditions satisfied at the approximate singular solution. The size of matrices involved in our algorithm is bounded by n × n. The algorithm converges quadratically ifx is close to the isolated exact singular solution.

Deflation and Certified Isolation of Singular Zeros of Polynomial Systems

Arxiv preprint arXiv:1101.3140, 2011

We develop a new symbolic-numeric algorithm for the certification of singular isolated points, using their associated local ring structure and certified numerical computations. An improvement of an existing method to compute inverse systems is presented, which avoids redundant computation and reduces the size of the intermediate linear systems to solve. We derive a one-step deflation technique, from the description of the multiplicity structure in terms of differentials. The deflated system can be used in Newton-based iterative schemes with quadratic convergence. Starting from a polynomial system and a small-enough neighborhood, we obtain a criterion for the existence and uniqueness of a singular root of a given multiplicity structure, applying a well-chosen symbolic perturbation. Standard verification methods, based eg. on interval arithmetic and a fixed point theorem, are employed to certify that there exists a unique perturbed system with a singular root in the domain. Applications to topological degree computation and to the analysis of real branches of an implicit curve illustrate the method.

A subspace expanding technique for global zero finding of multi-degree-of-freedom nonlinear systems

Applied Mathematics and Mechanics, 2020

A subspace expanding technique (SET) is proposed to efficiently discover and find all zeros of nonlinear functions in multi-degree-of-freedom (MDOF) engineering systems by discretizing the space into smaller subdomains, which are called cells. The covering set of the cells is identified by parallel calculations with the root bracketing method. The covering set can be found first in a low-dimensional subspace, and then gradually extended to higher dimensional spaces with the introduction of more equations and variables into the calculations. The results show that the proposed SET is highlyefficient for finding zeros in high-dimensional spaces. The subdivision technique of the cell mapping method is further used to refine the covering set, and the obtained numerical results of zeros are accurate. Three examples are further carried out to verify the applicability of the proposed method, and very good results are achieved. It is believed that the proposed method will significantly enhance the ability to study the stability, bifurcation, and optimization problems in complex MDOF nonlinear dynamic systems.