Supplement. Discrete Operators

Total Page:16

File Type:pdf, Size:1020Kb

Supplement. Discrete Operators Supplement. Discrete Operators Infinite systems of algebraic equations can arise in some applications or as a re- sult of discretization of differential equations in unbounded domains. Though the results obtained for elliptic problems in unbounded domains cannot be directly applied to infinite-dimensional discrete operators, the methods developed in this book can be adapted for them. In particular, we will define limiting problems in order to formulate conditions of normal solvability. We will discuss solvability con- ditions and some other properties of discrete operators. One of the results concerns the generalization of the Perron-Frobenius theorem about the principal eigenvalue of the matrices with non-negative off-diagonal elements to infinite matrices. We will also see that conditions of normal solvability are related to stability of fi- nite difference approximations of differential equations. The representation below follows the works [28]–[30]. Some related questions are discussed in [443]. 1 One-parameter equations 1.1 Limiting operators and normal solvability Let E be the Banach space of all bounded real sequences ∞ E = u = {uj}j=−∞ ,uj ∈ R, sup |uj| < ∞ (1.1) j∈Z with the norm u =sup|uj| , j∈Z and L : E → E be the linear difference operator j j j (Lu)j = a−muj−m + ···+ a0uj + ···+ amuj+m,j∈ Z, (1.2) j j j where m ≥ 0 is an integer and a−m,...,a0,...,am ∈ R are given coefficients. In some cases, it will be also convenient for us to consider complex coefficients. This operator acts on sequences of numbers depending on one integer parameter j.In this sense, we call such operators and the corresponding equations one-parameter V. Volpert, Elliptic Partial Differential Equations: Volume 1: Fredholm Theory of Elliptic 527 Problems in Unbounded Domains, Monographs in Mathematics 101, DOI 10.1007/978-3-0346-0537-3, © Springer Basel AG 2011 528 Supplement. Discrete operators operators and equations. They can arise as a result of discretization of differential equations on the real axis. Denote by L+ : E → E the limiting operator + + ··· + ··· + ∈ Z L u j = a−muj−m + + a0 uj + + amuj+m,j , (1.3) where j a+ = lim a ,l∈ Z, −m ≤ l ≤ m. (1.4) l j→∞ l We are going to define the associated polynomial for the operator L+.To do this, we are looking for the solution of the equation L+u = 0 under the form uj =exp(µj), j ∈ Z and obtain + −µm + −µ + + µ + µm a−me + ···+ a−1e + a0 + a1 e + ···+ ame =0. Let σ = eµ and + + 2m + m + P (σ)=amσ + ···+ a0 σ + ···+ a−m. (1.5) We present without proof the following auxiliary result (see [28]). Lemma 1.1. The equation L+u =0has nonzero bounded solutions if and only if the corresponding algebraic polynomial P + has a root σ with |σ| =1. We will find conditions in terms of P + for the limiting operator L+ to be invertible. We begin with an auxiliary result concerning continuous deformations + + of the polynomial P . Without loss of generality, we can assume that am =1. Consider the polynomial with complex coefficients n n−1 P (σ)=σ + a1σ + ···+ an−1σ + an. (1.6) Lemma 1.2. Suppose that a polynomial P (σ) does not have roots with |σ| =1and it has k roots with |σ| < 1, 0 ≤ k ≤ n. Then there exists a continuous deformation Pτ (σ)0≤ τ ≤ 1, such that k n−k P0(σ)=P (σ),P1(σ)=(σ − a)(σ − λ), and the polynomial Pτ (σ) does not have roots with |σ| =1for any 0 ≤ τ ≤ 1. Here λ>1 and a<1 are real numbers. Proof. Let us represent the polynomial P (σ)intheform P (σ)=(σ − σ1) ...(σ − σn), where the roots σ1,...,σk are inside the unit circle, and the other roots are outside it. Consider the polynomial Pτ (σ)=(σ − σ1(τ)) ...(σ − σn(τ)) 1. One-parameter equations 529 that depends on the parameter τ through its roots. This means that we change the roots and find the coefficients of the polynomial through them. We change the roots in such a way that for τ = 0 they coincide with the roots of the original k polynomial, for τ = 1 it has the roots σ1,...,σk with (σi) = a, i =1,...,k(inside n−k the unit circle) and n−k roots σk+1,...,σn such that (σi) = λ, i = k+1,...,n (outside of the unit circle). This deformation can be done in such a way that there are no roots with |σ| = 1. The lemma is proved. Using the associated polynomials P + and P − of L+ and L−, we can study normal solvability of operator L. Theorem 1.3. The operator L is normally solvable with a finite-dimensional kernel if and only if the corresponding algebraic polynomials P + and P − do not have roots σ with |σ| =1. Proof. Suppose that the polynomials P +,P− do not have roots σ with |σ| =1. Let {f n} be a sequence in the image Im L of the operator L such that f n → f and let {un} be such that Lun = f n. Suppose in the beginning that {un} is bounded in E. We construct a conver- n n gent subsequence. Since ||u || =supj∈Z |uj |≤c, then for every positive integer n n N, there exists a subsequence {u k } of {u } and u = {uj}∈E such that nk sup uj − uj → 0, (1.7) −N≤j≤N that is unk → u as k →∞uniformly on each bounded interval of j.Usinga diagonalization process, we extend uj to all j ∈ Z. It is clear that supj∈Z |uj|≤c, that means u ∈ E. Passing to the limit as k →∞in the equation Lunk = f nk ,we get Lu = f,sothatf ∈ Im L. We show that the convergence in (1.7) is uniform with respect to all j ∈ Z. nk k →∞ − j ≥ If, by contradiction, there exists j such that ujk u k ε>0, then the k nk k nk − j+j | − j |≥ sequence yj = uj+jk u k verifies the inequality y0 = ujk u k ε and the equation j+j j+j k k ··· k k ··· j+jk k nk − ∈ Z a−m yj−m + + a0 yj + + am yj+m = fj+jk fj+jk ,j . (1.8) ( ) ( ) Since the sequence yk is bounded in E, there exists a subsequence ykl which converges to some y0 ∈ E uniformly with respect to j on bounded intervals. We pass to the limit as kl →∞in (1.8) and obtain + 0 + 0 + 0 a−myj−m + ···+ a0 yj + ···+ amyj+m =0,j∈ Z. Thus, the limiting equation L+u = 0 has a nonzero bounded solution and Lemma nk 1.1 leads to a contradiction. Therefore the convergence uj − uj → 0 is uniform with respect to all j ∈ Z.SinceLu = f,thenImL is closed. 530 Supplement. Discrete operators We note that in order to prove that ker L has a finite dimension, it suffices to show that every sequence un from B ∩ ker L (where B is the unit ball) has a convergent subsequence. We prove this using the same reasoning with f n =0. We analyze now the case where {un} is unbounded in E.Thenwewrite un = xn + yn,with{xn}∈Ker L and {yn} in the supplement of Ker L.Then Lyn = f n.If{yn} is bounded in E, then it follows as above that Im L is closed. If not, then we repeat the above reasoning for zn = yn/||yn|| and gn = f n/||yn||. n 0 Passing to the limit on a subsequence nk (such that z k → z ) in the equality Lznk = gnk and using the convergence gnk → 0, one obtains that z0 belongs to the kernel of the operator L and to its supplement. This contradiction finishes the proof of the closeness of the image. Assume now that Im L is closed and dim Ker L is finite. Suppose, by con- tradiction, that one of the polynomials, for certainty P +, has a root on the unit ∞ + circle. Then there exists a solution u = {uj}j=−∞ of the equation L u =0,where iξj ∈ R ∈ Z uj = e , ξ , j . ( ) ( ) { }∞ N N ∞ N N ∞ Let α = αj j=−∞, β = βj j=−∞, γ = γj j=−∞ be a partition of N N unity (αj + βj + γj =1)givenby # # # 1,j≤ 0 N 1, 1 ≤ j ≤ N N 1,j≥ N +1 αj = ,βj = ,γj = . 0,j≥ 1 0,j≤ 0,j≥ N +1 0,j≤ N Consider a sequence εn → 0asn →∞.Forafixedεn, put n i(ξ+εn)j n n n n uj = e ,vj =(1− αj) uj − uj ,fj = Lvj ,j∈ Z. n It is clear that uj → uj as n →∞uniformly on every bounded interval of integers j. It is sufficient to prove that f n → 0. Indeed, in this case, since the image of the operator is closed and the kernel is finite dimensional, then vn → 0. But this is in contradiction with vn =supei(ξ+εn)j − eiξj ≥ m>0, j>0 for some m. n n In order to show that f → 0asn →∞,werepresentfj in the form - . n N N N N n fj = αj + βj + γj L β + γ (u − u) - . - j . N N n N N N n = αj L β + γ (u − u) + βj L β + γ (u − u) - . j j N N n N + N n + γj L β (u − u) + γj L − L [γ (u − u)] j j N + N n − + γj L [γ (u u)] j . (1.9) 1. One-parameter equations 531 A simple computation shows that the first three terms in the right-hand side of the last equality tend to zero as n →∞uniformly with respect to all integer j.
Recommended publications
  • Arxiv:1507.07356V2 [Math.AP]
    TEN EQUIVALENT DEFINITIONS OF THE FRACTIONAL LAPLACE OPERATOR MATEUSZ KWAŚNICKI Abstract. This article discusses several definitions of the fractional Laplace operator ( ∆)α/2 (α (0, 2)) in Rd (d 1), also known as the Riesz fractional derivative − ∈ ≥ operator, as an operator on Lebesgue spaces L p (p [1, )), on the space C0 of ∈ ∞ continuous functions vanishing at infinity and on the space Cbu of bounded uniformly continuous functions. Among these definitions are ones involving singular integrals, semigroups of operators, Bochner’s subordination and harmonic extensions. We collect and extend known results in order to prove that all these definitions agree: on each of the function spaces considered, the corresponding operators have common domain and they coincide on that common domain. 1. Introduction We consider the fractional Laplace operator L = ( ∆)α/2 in Rd, with α (0, 2) and d 1, 2, ... Numerous definitions of L can be found− in− literature: as a Fourier∈ multiplier with∈{ symbol} ξ α, as a fractional power in the sense of Bochner or Balakrishnan, as the inverse of the−| Riesz| potential operator, as a singular integral operator, as an operator associated to an appropriate Dirichlet form, as an infinitesimal generator of an appropriate semigroup of contractions, or as the Dirichlet-to-Neumann operator for an appropriate harmonic extension problem. Equivalence of these definitions for sufficiently smooth functions is well-known and easy. The purpose of this article is to prove that, whenever meaningful, all these definitions are equivalent in the Lebesgue space L p for p [1, ), ∈ ∞ in the space C0 of continuous functions vanishing at infinity, and in the space Cbu of bounded uniformly continuous functions.
    [Show full text]
  • Curl, Divergence and Laplacian
    Curl, Divergence and Laplacian What to know: 1. The definition of curl and it two properties, that is, theorem 1, and be able to predict qualitatively how the curl of a vector field behaves from a picture. 2. The definition of divergence and it two properties, that is, if div F~ 6= 0 then F~ can't be written as the curl of another field, and be able to tell a vector field of clearly nonzero,positive or negative divergence from the picture. 3. Know the definition of the Laplace operator 4. Know what kind of objects those operator take as input and what they give as output. The curl operator Let's look at two plots of vector fields: Figure 1: The vector field Figure 2: The vector field h−y; x; 0i: h1; 1; 0i We can observe that the second one looks like it is rotating around the z axis. We'd like to be able to predict this kind of behavior without having to look at a picture. We also promised to find a criterion that checks whether a vector field is conservative in R3. Both of those goals are accomplished using a tool called the curl operator, even though neither of those two properties is exactly obvious from the definition we'll give. Definition 1. Let F~ = hP; Q; Ri be a vector field in R3, where P , Q and R are continuously differentiable. We define the curl operator: @R @Q @P @R @Q @P curl F~ = − ~i + − ~j + − ~k: (1) @y @z @z @x @x @y Remarks: 1.
    [Show full text]
  • The Infinite and Contradiction: a History of Mathematical Physics By
    The infinite and contradiction: A history of mathematical physics by dialectical approach Ichiro Ueki January 18, 2021 Abstract The following hypothesis is proposed: \In mathematics, the contradiction involved in the de- velopment of human knowledge is included in the form of the infinite.” To prove this hypothesis, the author tries to find what sorts of the infinite in mathematics were used to represent the con- tradictions involved in some revolutions in mathematical physics, and concludes \the contradiction involved in mathematical description of motion was represented with the infinite within recursive (computable) set level by early Newtonian mechanics; and then the contradiction to describe discon- tinuous phenomena with continuous functions and contradictions about \ether" were represented with the infinite higher than the recursive set level, namely of arithmetical set level in second or- der arithmetic (ordinary mathematics), by mechanics of continuous bodies and field theory; and subsequently the contradiction appeared in macroscopic physics applied to microscopic phenomena were represented with the further higher infinite in third or higher order arithmetic (set-theoretic mathematics), by quantum mechanics". 1 Introduction Contradictions found in set theory from the end of the 19th century to the beginning of the 20th, gave a shock called \a crisis of mathematics" to the world of mathematicians. One of the contradictions was reported by B. Russel: \Let w be the class [set]1 of all classes which are not members of themselves. Then whatever class x may be, 'x is a w' is equivalent to 'x is not an x'. Hence, giving to x the value w, 'w is a w' is equivalent to 'w is not a w'."[52] Russel described the crisis in 1959: I was led to this contradiction by Cantor's proof that there is no greatest cardinal number.
    [Show full text]
  • Or, If the Sine Functions Be Eliminated by Means of (11)
    52 BINOMIAL THEOREM AND NEWTONS MONUMENT. [Nov., or, if the sine functions be eliminated by means of (11), e <*i : <** : <xz = X^ptptf : K(P*ptf : A3(Pi#*) . (53) While (52) does not enable us to construct the point of least attraction, it furnishes a solution of the converse problem : to determine the ratios of the masses of three points so as to make the sum of their attractions on a point P within their triangle a minimum. If, in (50), we put n = 2 and ax + a% = 1, and hence pt + p% = 1, this equation can be regarded as that of a curve whose ordinate s represents the sum of the attractions exerted by the points et and e2 on the foot of the ordinate. This curve approaches asymptotically the perpendiculars erected on the vector {ex — e2) at ex and e% ; and the point of minimum attraction corresponds to its lowest point. Similarly, in the case n = 3, the sum of the attractions exerted by the vertices of the triangle on any point within this triangle can be rep­ resented by the ordinate of a surface, erected at this point at right angles to the plane of the triangle. This suggestion may here suffice. 22. Concluding remark.—Further results concerning gen­ eralizations of the problem of the minimum sum of distances are reserved for a future communication. WAS THE BINOMIAL THEOEEM ENGKAVEN ON NEWTON'S MONUMENT? BY PKOFESSOR FLORIAN CAJORI. Moritz Cantor, in a recently published part of his admir­ able work, Vorlesungen über Gescliichte der Mathematik, speaks of the " Binomialreihe, welcher man 1727 bei Newtons Tode .
    [Show full text]
  • 4.1 Discrete Differential Geometry
    Spring 2015 CSCI 599: Digital Geometry Processing 4.1 Discrete Differential Geometry Hao Li http://cs599.hao-li.com 1 Outline • Discrete Differential Operators • Discrete Curvatures • Mesh Quality Measures 2 Differential Operators on Polygons Differential Properties! • Surface is sufficiently differentiable • Curvatures → 2nd derivatives 3 Differential Operators on Polygons Differential Properties! • Surface is sufficiently differentiable • Curvatures → 2nd derivatives Polygonal Meshes! • Piecewise linear approximations of smooth surface • Focus on Discrete Laplace Beltrami Operator • Discrete differential properties defined over (x) N 4 Local Averaging Local Neighborhood ( x ) of a point !x N • often coincides with mesh vertex vi • n-ring neighborhood ( v ) or local geodesic ball Nn i 5 Local Averaging Local Neighborhood ( x ) of a point !x N • often coincides with mesh vertex vi • n-ring neighborhood ( v ) or local geodesic ball Nn i Neighborhood size! • Large: smoothing is introduced, stable to noise • Small: fine scale variation, sensitive to noise 6 Local Averaging: 1-Ring (x) N x Barycentric cell Voronoi cell Mixed Voronoi cell (barycenters/edgemidpoints) (circumcenters) (circumcenters/midpoint) tight error bound better approximation 7 Barycentric Cells Connect edge midpoints and triangle barycenters! • Simple to compute • Area is 1/3 o triangle areas • Slightly wrong for obtuse triangles 8 Mixed Cells Connect edge midpoints and! • Circumcenters for non-obtuse triangles • Midpoint of opposite edge for obtuse triangles • Better approximation,
    [Show full text]
  • A Doubly Nonlocal Laplace Operator and Its Connection to the Classical Laplacian Petronela Radu University of Nebraska - Lincoln, [email protected]
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications, Department of Mathematics Mathematics, Department of 2019 A Doubly Nonlocal Laplace Operator and Its Connection to the Classical Laplacian Petronela Radu University of Nebraska - Lincoln, [email protected] Kelseys Wells University of Nebraska - Lincoln Follow this and additional works at: https://digitalcommons.unl.edu/mathfacpub Part of the Applied Mathematics Commons, and the Mathematics Commons Radu, Petronela and Wells, Kelseys, "A Doubly Nonlocal Laplace Operator and Its Connection to the Classical Laplacian" (2019). Faculty Publications, Department of Mathematics. 215. https://digitalcommons.unl.edu/mathfacpub/215 This Article is brought to you for free and open access by the Mathematics, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications, Department of Mathematics by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. A DOUBLY NONLOCAL LAPLACE OPERATOR AND ITS CONNECTION TO THE CLASSICAL LAPLACIAN PETRONELA RADU, KELSEY WELLS Abstract. In this paper, motivated by the state-based peridynamic frame- work, we introduce a new nonlocal Laplacian that exhibits double nonlocality through the use of iterated integral operators. The operator introduces addi- tional degrees of flexibility that can allow for better representation of physical phenomena at different scales and in materials with different properties. We study mathematical properties of this state-based Laplacian, including connec- tions with other nonlocal and local counterparts. Finally, we obtain explicit rates of convergence for this doubly nonlocal operator to the classical Laplacian as the radii for the horizons of interaction kernels shrink to zero. 1. Introduction Physical phenomena that are beset by discontinuities in the solution, or in the domain, have been challenging to study in the context of classical partial differen- tial equations (PDEs).
    [Show full text]
  • The Electrostatic Potential Is the Coulomb Integral Transform of the Electric Charge Density Revista Mexicana De Física, Vol
    Revista Mexicana de Física ISSN: 0035-001X [email protected] Sociedad Mexicana de Física A.C. México Medina, L.; Ley Koo, E. Mathematics motivated by physics: the electrostatic potential is the Coulomb integral transform of the electric charge density Revista Mexicana de Física, vol. 54, núm. 2, diciembre, 2008, pp. 153-159 Sociedad Mexicana de Física A.C. Distrito Federal, México Available in: http://www.redalyc.org/articulo.oa?id=57028302013 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative ENSENANZA˜ REVISTA MEXICANA DE FISICA´ E 54 (2) 153–159 DICIEMBRE 2008 Mathematics motivated by physics: the electrostatic potential is the Coulomb integral transform of the electric charge density L. Medinaa and E. Ley Koo a;b aFacultad de Ciencias, Universidad Nacional Autonoma´ de Mexico,´ Ciudad Universitaria, Mexico´ D.F., 04510, Mexico,´ e-mail: [email protected], bInstituto de F´ısica, Universidad Nacional Autonoma´ de Mexico,´ Apartado Postal 20-364, 01000 Mexico D.F., Mexico, e-mail: eleykoo@fisica.unam.mx Recibido el 19 de octubre de 2007; aceptado el 11 de marzo de 2007 This article illustrates a practical way to connect and coordinate the teaching and learning of physics and mathematics. The starting point is the electrostatic potential, which is obtained in any introductory course of electromagnetism from the Coulomb potential and the superposition principle for any charge distribution. The necessity to develop solutions to the Laplace and Poisson differential equations is also recognized, identifying the Coulomb potential as the generating function of harmonic functions.
    [Show full text]
  • 3D Topological Quantum Computing
    3D Topological Quantum Computing Torsten Asselmeyer-Maluga German Aerospace Center (DLR), Rosa-Luxemburg-Str. 2 10178 Berlin, Germany [email protected] July 20, 2021 Abstract In this paper we will present some ideas to use 3D topology for quan- tum computing extending ideas from a previous paper. Topological quan- tum computing used “knotted” quantum states of topological phases of matter, called anyons. But anyons are connected with surface topology. But surfaces have (usually) abelian fundamental groups and therefore one needs non-abelian anyons to use it for quantum computing. But usual materials are 3D objects which can admit more complicated topologies. Here, complements of knots do play a prominent role and are in principle the main parts to understand 3-manifold topology. For that purpose, we will construct a quantum system on the complements of a knot in the 3-sphere (see arXiv:2102.04452 for previous work). The whole system is designed as knotted superconductor where every crossing is a Josephson junction and the qubit is realized as flux qubit. We discuss the proper- ties of this systems in particular the fluxion quantization by using the A-polynomial of the knot. Furthermore we showed that 2-qubit opera- tions can be realized by linked (knotted) superconductors again coupled via a Josephson junction. 1 Introduction Quantum computing exploits quantum-mechanical phenomena such as super- position and entanglement to perform operations on data, which in many cases, arXiv:2107.08049v1 [quant-ph] 16 Jul 2021 are infeasible to do efficiently on classical computers. Topological quantum computing seeks to implement a more resilient qubit by utilizing non-Abelian forms of matter like non-abelian anyons to store quantum information.
    [Show full text]
  • 50 Mathematical Ideas You Really Need to Know
    50 mathematical ideas you really need to know Tony Crilly 2 Contents Introduction 01 Zero 02 Number systems 03 Fractions 04 Squares and square roots 05 π 06 e 07 Infinity 08 Imaginary numbers 09 Primes 10 Perfect numbers 11 Fibonacci numbers 12 Golden rectangles 13 Pascal’s triangle 14 Algebra 15 Euclid’s algorithm 16 Logic 17 Proof 3 18 Sets 19 Calculus 20 Constructions 21 Triangles 22 Curves 23 Topology 24 Dimension 25 Fractals 26 Chaos 27 The parallel postulate 28 Discrete geometry 29 Graphs 30 The four-colour problem 31 Probability 32 Bayes’s theory 33 The birthday problem 34 Distributions 35 The normal curve 36 Connecting data 37 Genetics 38 Groups 4 39 Matrices 40 Codes 41 Advanced counting 42 Magic squares 43 Latin squares 44 Money mathematics 45 The diet problem 46 The travelling salesperson 47 Game theory 48 Relativity 49 Fermat’s last theorem 50 The Riemann hypothesis Glossary Index 5 Introduction Mathematics is a vast subject and no one can possibly know it all. What one can do is explore and find an individual pathway. The possibilities open to us here will lead to other times and different cultures and to ideas that have intrigued mathematicians for centuries. Mathematics is both ancient and modern and is built up from widespread cultural and political influences. From India and Arabia we derive our modern numbering system but it is one tempered with historical barnacles. The ‘base 60’ of the Babylonians of two or three millennia BC shows up in our own culture – we have 60 seconds in a minute and 60 minutes in an hour; a right angle is still 90 degrees and not 100 grads as revolutionary France adopted in a first move towards decimalization.
    [Show full text]
  • Nonlocal Exterior Calculus on Riemannian Manifolds
    The Pennsylvania State University The Graduate School Department of Mathematics NONLOCAL EXTERIOR CALCULUS ON RIEMANNIAN MANIFOLDS A Dissertation in Mathematics by Thinh Duc Le c 2013 Thinh Duc Le Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy August 2013 ii The dissertation of Thinh Duc Le was reviewed and approved* by the following: Qiang Du Verne M. Willaman Professor of Mathematics Dissertation Adviser Chair of Committee Long-Qing Chen Distinguished Professor of Material Sciences and Engineering Ping Xu Distinguished Professor of Mathematics Mathieu Stienon Associate Professor of Mathematics Svetlana Katok Director of Graduate Studies, Department of Mathematics *Signatures are on file in the Graduate School. iii Abstract Exterior calculus and differential forms are basic mathematical concepts that have been around for centuries. Variations of these concepts have also been made over the years such as the discrete exterior calculus and the finite element exterior calculus. In this work, motivated by the recent studies of nonlocal vector calculus we develop a nonlocal exterior calculus framework on Riemannian manifolds which mimics many properties of the standard (local/smooth) exterior calculus. However the key difference is that nonlocal \interactions" (functions, operators, fields,...) are not required to be smooth. Also any point/particle can interact directly with any other point/particle in the studied domain (at least in principle). Just as in the standard context, we introduce all necessary elements of exterior calculus such as forms, vector fields, exterior derivatives, etc. We point out the relationships between these elements with the known ones in (local) exterior calcu- lus, discrete exterior calculus, etc.
    [Show full text]
  • Two-Dimensional Differential Operators
    Appendix E Two-dimensional differential operators E.1 The del-operator in two dimensions When we deal with scalar fields that do not depend on the third coordinate or with vector fields in which the third component is zero and the other two depend only on the first two coordinates, then it is expedient to introduce the horizontal del-operator ∂ ∂ ∂ ∂ ∇H = i + j = , . ∂x ∂y ∂x ∂y ! By means of this operator we can construct the horizontal gradient of a two- dimensional scalar field φ = φ(x, y) uH = ∇H φ, and the divergence of a two-dimensional vector field uH =(ux, uy) ∂ux ∂uy ξH = ∇H · uH =(∂x, ∂y) · (ux, uy) = + . ∂x ∂y 1041 1042 Franco Mattioli (University of Bologna) Analogously to the three-dimensional case, we introduce the two-dimensional Laplace operator ∂ ∂ ∂φ ∂φ ∂2φ ∂2φ ∇2 ∇ ·∇ · H φ = H H φ = , , = 2 + 2 . ∂x ∂y ! ∂x ∂y ! ∂x ∂y But for the curl is quite another matter. The curl, in fact, is an operator essentially three-dimensional. When applied to a two-dimensional vector field defined in a certain plane, it gives rise to a vector that does not belong to the same plane. This happens because it represents the velocity of rotation of the parcels (see problem [D.5]). If the motion occurs in a horizontal plane, it is clear that the angular velocity of the parcels must be vertical. So, we can define the vertical component of the curl as ∂u ∂u ζ = k · ∇ × u = y − x . H ∂x ∂y Similarly, the curl of a vector field defined in a vertical plane is a horizontal vector.
    [Show full text]
  • The Laplace Operator ∆(U) = Div(∇(U)) = I=1 2
    Partial Differential Equations Notes II by Jesse Ratzkin Pn @2u In this set of notes we closely examine the Laplace operator ∆(u) = div(r(u)) = i=1 2 . @xi As the Laplacian will serve as our model operator for second order, elliptic, differential operators, we will be well-served to understand it as well as we can. Some basic definitions: We fix some bounded domain D ⊂ Rn, and suppose that the 1 boundary @D of D is at least C . For most purposes, it will suffice to work on the ball BR(0) of radius R, centered at 0. A harmonic function u on D satisfies ∆u(x) = 0 for all x 2 D. More generally, we are interested in solving the Poisson equation: ∆u = φ(x) (1) for some continuous function φ. In this equation, the given information is the domain D and the function φ on the right-hand-side, and the unknown (i.e. the thing we're solving for) is the function u. In order to specify a solution, we still need to prescribe boundary data for u. The two most common boundary data are Dirichlet boundary values and Neumann boundary values, which we define now. Definition 1. The function u 2 C2(D) \ C0(D¯) solves the Dirichlet boundary value problem for (1) if ∆u = φ, uj@D = f; (2) where f 2 C0(@D) is given. Similarly, we say u 2 C2(D) \ C0(D¯) solves the Neumann boundary value problem for (1) if @u ∆u = φ, = hru; Nij@D = g (3) @N @D for some given g 2 C0(@D).
    [Show full text]