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2019 | Buch

Numerical Verification Methods and Computer-Assisted Proofs for Partial Differential Equations

verfasst von: Prof. Mitsuhiro T. Nakao, Prof. Michael Plum, Yoshitaka Watanabe

Verlag: Springer Singapore

Buchreihe : Springer Series in Computational Mathematics

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Über dieses Buch

Recently, various mathematical problems have been solved by computer-assisted proofs, among them the Kepler conjecture, the existence of chaos, the existence of the Lorenz attractor, the famous four-color problem, and more. In many cases, computer-assisted proofs have the remarkable advantage (compared with a “theoretical” proof) of providing accurate quantitative information.The authors have been working more than a quarter century to establish the verified computations of solutions for partial differential equations, mainly to the nonlinear elliptic problems of the form -∆u=f(x,u,∇u) with Dirichlet boundary conditions. Here, by "verified computation" is meant a computer-assisted numerical approach to proving the existence of a solution in a close and explicit neighborhood of an approximate solution. Therefore, the quantitative information by the technique shown here should also be significant from the viewpoint of the a posteriori error estimates for approximate solution of concerned partial differential equations with mathematically rigorous sense.In this monograph, the authors describe a survey on the verified computations or computer-assisted proofs for partial differential equations that they developed. In Part I, the methods mainly studied by authors Nakao and Watanabe are presented. These methods are based on the finite dimensional projection and the constructive a priori error estimates for the finite element approximation of the Poisson equation. In Part II, the computer-assisted approaches via eigenvalue bounds developed by the second author, Plum, are explained in detail. The main task of this method consists of eigenvalue bounds for the corresponding nonlinear problems of the linearized operators. Some brief remarks are also given on other approaches in Part III. Each method in Parts I and II is followed by appropriate numerical examples that confirm the actual usefulness of the authors’ methods. Also in some examples the practical computer algorithms are supplied so that readers can easily implement the verification program by themselves.

Inhaltsverzeichnis

Frontmatter

Verification by Finite-Dimensional Projection

Frontmatter
Chapter 1. Basic Principle of the Verification
Abstract
In this chapter, we describe the basic concept of our verification methods throughout Part I. The principle of our verification approaches was first originated in 1988 by one of the authors Nakao (Japan J Appl Math 5(2):313–332, 1988) for the second-order elliptic boundary value problems, and several improvements have since been made. This method consists of a projection and error estimations by the effective use of the compactness property of the relevant operator, and it can be represented in a rather generalized form in the examples below.
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Chapter 2. Newton-Type Approaches in Finite Dimension
Abstract
The verification algorithm FS-Int, which was introduced in the previous chapter, succeeds in enclosing solutions for several realistic problems. However, to obtain the fixed point of F in (1.9), it is necessary that the map F is retractive in some neighborhood of the fixed point to be verified. In order to apply our verification method to more general problems, we introduce some Newton-type verification algorithms.
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Chapter 3. Infinite-Dimensional Newton-Type Method
Abstract
This chapter presents two numerical verification methods which are based on some infinite-dimensional fixed-point theorems. The first approach is a technique using sequential iteration. Although this method is simple and can be applied to general nonlinear functional equations in Banach spaces, the relevant compact map has to be retractive in some neighborhood of the fixed point to be verified. The second verification approach is Newton-like iteration. We consider a linearized operator (denoted by \(\text{{$\mathcal {L}$}}\)) of the problem and verify the invertibility of \(\text{{$\mathcal {L}$}}\) and compute guaranteed norm bounds for \(\text{{$\mathcal {L}$}}^{-1}\) by applying the same principle as in Chaps. 1 and 2. After that, we confirm the existence of solutions by proving the contractility of the infinite-dimensional Newton-like operator with a residual form. Note that a projection into a finite-dimensional subspace and constructive error estimates of the projection play important and essential roles.
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Chapter 4. Applications to the Computer-Assisted Proofs in Analysis
Abstract
This chapter presents other computer-assisted proofs obtained by verification algorithms that introduced previous chapters in Part I. Some applications to the nonlinear parabolic problems are described in the next chapter.
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Chapter 5. Evolutional Equations
Abstract
In the present chapter, we extend the verification principle described up to now to the nonlinear parabolic problems. As you can see, from the previous arguments, in order to verify the solution of elliptic problems, the constructive error estimates for the approximation of the Poisson equations play an essential role.
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe

Computer-Assisted Proofs for Nonlinear Elliptic Boundary Value Problems via Eigenvalue Bounds

Frontmatter
Chapter 6. Semilinear Elliptic Boundary Value Problems: Abstract Approach and Strong Solutions
Abstract
Semilinear elliptic differential equations of the form
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Chapter 7. Weak Solutions
Abstract
We will now investigate the problem
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Chapter 8. Fourth-Order Problems
Abstract
Here we will discuss Dirichlet boundary value problems with fourth-order elliptic differential equations of the form
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Chapter 9. Other Problem Types
Abstract
In this chapter we will study some extensions of the types of problems considered so far. The first two sections are concerned with parameter-dependent problems in an abstract formulation, which is tailored for applications to elliptic boundary value problems. Section 9.1 provides a computer-assisted approach for proving existence of smooth branches of solutions to such problems. In Sect. 9.2 we consider situations where solution branches contain turning points or bifurcation points , requiring modifications of our Newton-type computer-assisted approach to be still applicable. With modifications similar to the turning-point case, we also treat non-self-adjoint eigenvalue problems in Sect. 9.3, with applications to the famous Orr–Sommerfeld equation. Finally, in Sect. 9.4 we are concerned with systems of second-order elliptic boundary value problems, where the linearized operator L lacks symmetry, whence a norm bound for L −1 cannot be computed via the spectrum of L or Φ −1L.
In this chapter we concentrate on the main ideas and partially will be a bit less extensive with technical details.
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Chapter 10. Eigenvalue Bounds for Self-Adjoint Eigenvalue Problems
Abstract
Eigenvalue problems Au = λu with a self-adjoint operator A are ubiquitous in mathematical analysis and mathematical physics. A particularly rich field of application is formed by linear differential expressions which can be realized operator-theoretically by self-adjoint operators. Often such eigenvalue problems arise from wave- or Schrödinger-type equations after separation of the time variable, i.e. by a standing-wave ansatz. Possibly the most important physical application is quantum physics, but also other fields like electro-dynamics (including optics) or statistical mechanics are governed by partial differential operators and related eigenvalue problems.
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe

Related Work and Tools

Frontmatter
Chapter 11. Computer-Assisted Proofs for Dynamical Systems
Abstract
In the last two decades, a significant branch of research on dynamical systems with ordinary and partial differential equations has arisen within the global field of computer-assisted proofs and verified numerics. The authors of this book did not actively contribute to this subject, but we believe that some rough description of these approaches should be given here. However, we are not aiming at a complete overview of the results established in the dynamical systems community, but want to comment on what we believe are the main ideas.
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Chapter 12. Basic Tools
Abstract
This chapter is devoted to describing basic tools and related topics necessary to numerical verification and computer-assisted proofs. We introduce fixed-point approaches, some surprising pitfalls in numerical computation, interval arithmetic, and verification methods for finite-dimensional problems.
Mitsuhiro T. Nakao, Michael Plum, Yoshitaka Watanabe
Backmatter
Metadaten
Titel
Numerical Verification Methods and Computer-Assisted Proofs for Partial Differential Equations
verfasst von
Prof. Mitsuhiro T. Nakao
Prof. Michael Plum
Yoshitaka Watanabe
Copyright-Jahr
2019
Verlag
Springer Singapore
Electronic ISBN
978-981-13-7669-6
Print ISBN
978-981-13-7668-9
DOI
https://doi.org/10.1007/978-981-13-7669-6

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