Importance of Hilbert Space in Quantum Mechanics

Total Page:16

File Type:pdf, Size:1020Kb

Importance of Hilbert Space in Quantum Mechanics IMPORTANCE OF HILBERT SPACE IN QUANTUM MECHANICS Ashoke Das1 and Sahin Injamamul Islam2 1Associate Professor,Department of Mathematics,Raiganj University,West Bengal, India 2Department of Mathematics,Raiganj University,West Bengal,India Abstract In this paper we have discussed about the importance of Hilbert space in Quantum Mechanics.Hilbert space has many applications in various field but in Quantum Mechanics Hilbert space is a vital component that can be denoted as the complete space of Inner product.Hilbert space plays a central role to integrate and determine the interpretation of Wave func- tion.We have been seen that for determining the material's electronic structure has used the atomic position.However,the implementation of the particular molecules delivers the accurate information of the change in vector position. A specific linear operator can be defined within all of the Hilbert space,it can be said that both are necessarily bounded. Key words Hilbert Space,Quantum Mechanics,Wave function,Atomic Position,Orthonormal 1 Introduction Hilbert Space is a significant component Quantum Mechanics and it can be de- noted as the complete space of inner product. Hilbert space can play a central role in order to determine the interpretation of the wave function.The absolute values of each of the wave function can be interpreted as the probability distri- bution functions. In the current study, a research paper is represented which can provide significant ideas about the importance of the Hilbert space within the area of quantum mechanics.We analyzes the aim, objectives as well as the purpose of the study. Moreover, the suitable research methodology, as well as results of the interpretation, is illuminated briefly.The current study aims to analyze the importance of Hilbert space in the area of Quantum mechanics. From a study, it has been found that in case, a specific linear operator can be defined within all of the Hilbert space, it can be said that both are necessarily 1 bounded.Therefore, the purpose of the current study was to obtain unbounded operators which is the exact subspace regarding Hilbert space. The main ob- jective of this paper is to identify the importance of Hilbert space in Quantum mechanics and analyze related postulates in this ground. In addition to that, this discussion focuses on evaluate external factors that affect Hilbert space question. 2 Some known results Quantum mechanics shows a physical system that is represented by a vector in a Hilbert Space. In the context of Hilbert space is composed of the inner product of an infinite-dimensional that shows a complete or closed property.In this way,it can automatically satisfy the linear based condition with completeness.As per the analysis, it demonstrates that orbit has a significant role in order to satisfy the liner-based combination and delivers quantum information. kΨk2=< Ψ j Ψ > In the context of the quantum mechanism there are several factors that have a vital role regarding the equation of Hilbert space such as j Ψ > and C j Ψ >.In which 'C' is consider as the nonzero factor.Physical state of the correspondents cannot be considered as the particular vectors for mentioning Hilbert space. If < Ψ j Ψ >=1 or kΨk2=1 then the mentioned equation can be formed in Hilbert space. On the other hand, in the context of the equation a meaningful assertion can be obtained. However, it can be stated that in the context of the statistics hypothesis has a vital role as it has a direct connection with the mentioned equation. Apart from that ei' and ' maintain a significant role in the statis- tics methodology and can be considered as real.ei' can be considered as the phase factor that can be multiplied by the normalized vectors to represents the physical state of affairs.Within ei' ,' is a real and in physical interpretation it represents normalization without changing the value.The notation of equa- tion is expected to suggest the analogy that delivers the quantum information along with the binary digit. In terms of quantum information, it defines two- dimensional properties that perfectly make a good sense in the Hilbert space. On the contrary, it can be seen that the gyroscope maintains an indicative role in the Hilbert space . The gyroscope is mainly included with spin half particles along with an angular momentum vector. This angular momentum vector has pointed any random direction in space. The atomic position is used in order to understand the electronic structure of the material.In solid-state chemistry,the atomic structure can be determined with the help of basis function and the basis sets.The localized basis function can be determined with the help of the auxiliary basis sets. The orthonormal orientation of these kinds of functions can be determined with the help of the Hilbert Space equation.The calculation of the spans of localized basis functions depends on different external parameters like the atomic position. For deter- mining the orientation of the quantum space,it is essential to incorporate the 2 non-orthogonal space equation for finding a suitable solution in this regard. According to Schr¨odinger'sequation of wave function,it can be noted that Hb n(x)= En n(x) Hilbert Space Equation where H is the Hamiltonian operator and the En represents the Eigen value. For transforming this equation in the quantum field, Hilbert space factor operator can be used. Related equation in this case can be defined in the interval of [0;L] and by considering f(0)=f(L)=0 for all n and m is R L 2 0 j n(x) j dx=1 and R L ∗ 0 n(x) m(x)dx=δnm ∗ Here n(x) is complex conjugate Quantum Equation Integration of overall function provides details about the infinite points lies in the orthogonal space. This can help to illustrate the phenomenon of the quantum field and the particle movements in this field can be demonstrated with application of the Hilbert space function. Determination of vector space with the liner basis factor helps to simplify the equation of movement of the particles in the quantum field . Consequently, the nature of the particle and their interaction with each other can be determined with this equation in a realistic way. 3 Example vector and matrices Particle in Quantum Well Vector X Wave function (x) Space vector space Hilbert Space 0 1 Linear operator matrix A= Hamiltonian H 1 0 well Eigenvalue problem Ax=λx Hwell n=En n n2π2h2 Eigen value λ1 = 1; λ2 = −1 En = 2mL ; n = 1; 2; 3::: 1 q Eigen vector X = p1 wave function (x)= 2 sin( nπx ) 1;2 2 ±1 n L L P2 ∗ R L ∗ Scalar product hX j Y i= n=1 xnYn h j φi = 0 (x)φ(x)dx Orthogonal basis hen j emi = δnm h n j mi = δnm Dimension 2 1 P2 P1 Completeness X= n=1hen j Xien = n=1h n j i n Vector components X=(he1 j Xi; he2 j Xi) = (h 1 j i; h 2 j i; :::) Table 1: Hilbert Space With Quantum theory 3 Results In the context of orthogonal projection, PV defines that it is a self-adjoint linear operator of H. PV is the orthogonal projection that is considered as the linear operator regarding self-adjoint on H. However, the nonzero state vectors j i and j 'i which are orthogonal represent and < i j 'i >=0 along with the distinct physical properties.In the present quantum, system does not provide the result simultaneously with two incompatible properties. As an example, it can be seen that a spin half particle cannot have both particles which are Sx=1/2 and Sz=1/2.. Accordingly, these molecules have the ability to allow incompatible particles along with the quantum theory. Moreover, it is seen that the adjoin point of this quantum is mainly referred to as the anti linear approaches, which is beneficial to analyze the molecules. 4 These parameters can be calculated to analyze the location of the parameters and the actual position of the quantum. However, it is found that this quantum analyze mainly defined the proper position of the quantum which is related to the physical variables. Therefore, it can be said that the quantum system and the Hermitian operation is important to identify the position of quantum variables position in the Hilbert space. According to the earlier discussion, it can be seen that the integration of this value is beneficial to calculate the quantum position in the Hilbert space. In terms of a Hermitian operation has mainly defined as the self-operator.As per the value of mentioned equation, it formulates the components of a vector of angular momentum in the Hilbert space. In this value, it highlights the frequent position of the position of vector momentum in quantum physics. As per the statistic analysis, it is seen that the Hilbert space is mainly defined as a function of the discrete variables in a systematic way. With the use of the Hermitian operators, it shows the value of quantum mechanics which is (u; v)=0 8 v2H implies to u = 0 The mentioned equation defined that there are no such Hermitian inner product that required positivity in the context of Hilbert space. kuj2=(u; u)1=2 As per the equation if H is considered as the preliminary space of Hermitian inner product in the regards of norms on H . The mentioned equation has a vital role in the estimation of the error in the finite element method. In the context of the Hilbert space the norms of H determine the specification of the momen- tum of the quantum position.
Recommended publications
  • 2 Hilbert Spaces You Should Have Seen Some Examples Last Semester
    2 Hilbert spaces You should have seen some examples last semester. The simplest (finite-dimensional) ex- C • A complex Hilbert space H is a complete normed space over whose norm is derived from an ample is Cn with its standard inner product. It’s worth recalling from linear algebra that if V is inner product. That is, we assume that there is a sesquilinear form ( , ): H H C, linear in · · × → an n-dimensional (complex) vector space, then from any set of n linearly independent vectors we the first variable and conjugate linear in the second, such that can manufacture an orthonormal basis e1, e2,..., en using the Gram-Schmidt process. In terms of this basis we can write any v V in the form (f ,д) = (д, f ), ∈ v = a e , a = (v, e ) (f , f ) 0 f H, and (f , f ) = 0 = f = 0. i i i i ≥ ∀ ∈ ⇒ ∑ The norm and inner product are related by which can be derived by taking the inner product of the equation v = aiei with ei. We also have n ∑ (f , f ) = f 2. ∥ ∥ v 2 = a 2. ∥ ∥ | i | i=1 We will always assume that H is separable (has a countable dense subset). ∑ Standard infinite-dimensional examples are l2(N) or l2(Z), the space of square-summable As usual for a normed space, the distance on H is given byd(f ,д) = f д = (f д, f д). • • ∥ − ∥ − − sequences, and L2(Ω) where Ω is a measurable subset of Rn. The Cauchy-Schwarz and triangle inequalities, • √ (f ,д) f д , f + д f + д , | | ≤ ∥ ∥∥ ∥ ∥ ∥ ≤ ∥ ∥ ∥ ∥ 2.1 Orthogonality can be derived fairly easily from the inner product.
    [Show full text]
  • Maxwell's Equations in Differential Form
    M03_RAO3333_1_SE_CHO3.QXD 4/9/08 1:17 PM Page 71 CHAPTER Maxwell’s Equations in Differential Form 3 In Chapter 2 we introduced Maxwell’s equations in integral form. We learned that the quantities involved in the formulation of these equations are the scalar quantities, elec- tromotive force, magnetomotive force, magnetic flux, displacement flux, charge, and current, which are related to the field vectors and source densities through line, surface, and volume integrals. Thus, the integral forms of Maxwell’s equations,while containing all the information pertinent to the interdependence of the field and source quantities over a given region in space, do not permit us to study directly the interaction between the field vectors and their relationships with the source densities at individual points. It is our goal in this chapter to derive the differential forms of Maxwell’s equations that apply directly to the field vectors and source densities at a given point. We shall derive Maxwell’s equations in differential form by applying Maxwell’s equations in integral form to infinitesimal closed paths, surfaces, and volumes, in the limit that they shrink to points. We will find that the differential equations relate the spatial variations of the field vectors at a given point to their temporal variations and to the charge and current densities at that point. In this process we shall also learn two important operations in vector calculus, known as curl and divergence, and two related theorems, known as Stokes’ and divergence theorems. 3.1 FARADAY’S LAW We recall from the previous chapter that Faraday’s law is given in integral form by d E # dl =- B # dS (3.1) CC dt LS where S is any surface bounded by the closed path C.In the most general case,the elec- tric and magnetic fields have all three components (x, y,and z) and are dependent on all three coordinates (x, y,and z) in addition to time (t).
    [Show full text]
  • Some C*-Algebras with a Single Generator*1 )
    transactions of the american mathematical society Volume 215, 1976 SOMEC*-ALGEBRAS WITH A SINGLEGENERATOR*1 ) BY CATHERINE L. OLSEN AND WILLIAM R. ZAME ABSTRACT. This paper grew out of the following question: If X is a com- pact subset of Cn, is C(X) ® M„ (the C*-algebra of n x n matrices with entries from C(X)) singly generated? It is shown that the answer is affirmative; in fact, A ® M„ is singly generated whenever A is a C*-algebra with identity, generated by a set of n(n + l)/2 elements of which n(n - l)/2 are selfadjoint. If A is a separable C*-algebra with identity, then A ® K and A ® U are shown to be sing- ly generated, where K is the algebra of compact operators in a separable, infinite- dimensional Hubert space, and U is any UHF algebra. In all these cases, the gen- erator is explicitly constructed. 1. Introduction. This paper grew out of a question raised by Claude Scho- chet and communicated to us by J. A. Deddens: If X is a compact subset of C, is C(X) ® M„ (the C*-algebra ofnxn matrices with entries from C(X)) singly generated? We show that the answer is affirmative; in fact, A ® Mn is singly gen- erated whenever A is a C*-algebra with identity, generated by a set of n(n + l)/2 elements of which n(n - l)/2 are selfadjoint. Working towards a converse, we show that A ® M2 need not be singly generated if A is generated by a set con- sisting of four elements.
    [Show full text]
  • And Varifold-Based Registration of Lung Vessel and Airway Trees
    Current- and Varifold-Based Registration of Lung Vessel and Airway Trees Yue Pan, Gary E. Christensen, Oguz C. Durumeric, Sarah E. Gerard, Joseph M. Reinhardt The University of Iowa, IA 52242 {yue-pan-1, gary-christensen, oguz-durumeric, sarah-gerard, joe-reinhardt}@uiowa.edu Geoffrey D. Hugo Virginia Commonwealth University, Richmond, VA 23298 [email protected] Abstract 1. Introduction Registration of lung CT images is important for many radiation oncology applications including assessing and Registering lung CT images is an important problem adapting to anatomical changes, accumulating radiation for many applications including tracking lung motion over dose for planning or assessment, and managing respiratory the breathing cycle, tracking anatomical and function motion. For example, variation in the anatomy during radio- changes over time, and detecting abnormal mechanical therapy introduces uncertainty between the planned and de- properties of the lung. This paper compares and con- livered radiation dose and may impact the appropriateness trasts current- and varifold-based diffeomorphic image of the originally-designed treatment plan. Frequent imaging registration approaches for registering tree-like structures during radiotherapy accompanied by accurate longitudinal of the lung. In these approaches, curve-like structures image registration facilitates measurement of such variation in the lung—for example, the skeletons of vessels and and its effect on the treatment plan. The cumulative dose airways segmentation—are represented by currents or to the target and normal tissue can be assessed by mapping varifolds in the dual space of a Reproducing Kernel Hilbert delivered dose to a common reference anatomy and com- Space (RKHS). Current and varifold representations are paring to the prescribed dose.
    [Show full text]
  • Arxiv:1802.08667V5 [Stat.ML] 13 Apr 2021 Lwrta 1 Than Slower Asna Eoo N,Aogagvnsqec Fmodels)
    Manuscript submitted to The Econometrics Journal, pp. 1–49. De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers Victor Chernozhukov†, Whitney K. Newey†, and Rahul Singh† †MIT Economics, 50 Memorial Drive, Cambridge MA 02142, USA. E-mail: [email protected], [email protected], [email protected] Summary We provide adaptive inference methods, based on ℓ1 regularization, for regular (semi-parametric) and non-regular (nonparametric) linear functionals of the conditional expectation function. Examples of regular functionals include average treatment effects, policy effects, and derivatives. Examples of non-regular functionals include average treatment effects, policy effects, and derivatives conditional on a co- variate subvector fixed at a point. We construct a Neyman orthogonal equation for the target parameter that is approximately invariant to small perturbations of the nui- sance parameters. To achieve this property, we include the Riesz representer for the functional as an additional nuisance parameter. Our analysis yields weak “double spar- sity robustness”: either the approximation to the regression or the approximation to the representer can be “completely dense” as long as the other is sufficiently “sparse”. Our main results are non-asymptotic and imply asymptotic uniform validity over large classes of models, translating into honest confidence bands for both global and local parameters. Keywords: Neyman orthogonality, Gaussian approximation, sparsity 1. INTRODUCTION Many statistical objects of interest can be expressed as a linear functional of a regression function (or projection, more generally). Examples include global parameters: average treatment effects, policy effects from changing the distribution of or transporting regres- sors, and average directional derivatives, as well as their local versions defined by taking averages over regions of shrinking volume.
    [Show full text]
  • Hilbert Space Theory and Applications in Basic Quantum Mechanics by Matthew R
    1 Hilbert Space Theory and Applications in Basic Quantum Mechanics by Matthew R. Gagne Mathematics Department California Polytechnic State University San Luis Obispo 2013 2 Abstract We explore the basic mathematical physics of quantum mechanics. Our primary focus will be on Hilbert space theory and applications as well as the theory of linear operators on Hilbert space. We show how Hermitian operators are used to represent quantum observables and investigate the spectrum of various linear operators. We discuss deviation and uncertainty and brieáy suggest how symmetry and representations are involved in quantum theory. APPROVAL PAGE TITLE: Hilbert Space Theory and Applications in Basic Quantum Mechanics AUTHOR: Matthew R. Gagne DATE SUBMITTED: June 2013 __________________ __________________ Senior Project Advisor Senior Project Advisor (Professor Jonathan Shapiro) (Professor Matthew Moelter) __________________ __________________ Mathematics Department Chair Physics Department Chair (Professor Joe Borzellino) (Professor Nilgun Sungar) 3 Contents 1 Introduction and History 4 1.1 Physics . 4 1.2 Mathematics . 7 2 Hilbert Space deÖnitions and examples 12 2.1 Linear functionals . 12 2.2 Metric, Norm and Inner product spaces . 14 2.3 Convergence and completeness . 17 2.4 Basis system and orthogonality . 19 3 Linear Operators 22 3.1 Basics . 22 3.2 The adjoint . 25 3.3 The spectrum . 32 4 Physics 36 4.1 Quantum mechanics . 37 4.1.1 Linear operators as observables . 37 4.1.2 Position, Momentum, and Energy . 42 4.2 Deviation and Uncertainty . 49 4.3 The Qubit . 51 4.4 Symmetry and Time Evolution . 54 1 Chapter 1 Introduction and History The development of Hilbert space, and its subsequent popularity, were a result of both mathematical and physical necessity.
    [Show full text]
  • Linear Algebra I: Vector Spaces A
    Linear Algebra I: Vector Spaces A 1 Vector spaces and subspaces 1.1 Let F be a field (in this book, it will always be either the field of reals R or the field of complex numbers C). A vector space V D .V; C; o;˛./.˛2 F// over F is a set V with a binary operation C, a constant o and a collection of unary operations (i.e. maps) ˛ W V ! V labelled by the elements of F, satisfying (V1) .x C y/ C z D x C .y C z/, (V2) x C y D y C x, (V3) 0 x D o, (V4) ˛ .ˇ x/ D .˛ˇ/ x, (V5) 1 x D x, (V6) .˛ C ˇ/ x D ˛ x C ˇ x,and (V7) ˛ .x C y/ D ˛ x C ˛ y. Here, we write ˛ x and we will write also ˛x for the result ˛.x/ of the unary operation ˛ in x. Often, one uses the expression “multiplication of x by ˛”; but it is useful to keep in mind that what we really have is a collection of unary operations (see also 5.1 below). The elements of a vector space are often referred to as vectors. In contrast, the elements of the field F are then often referred to as scalars. In view of this, it is useful to reflect for a moment on the true meaning of the axioms (equalities) above. For instance, (V4), often referred to as the “associative law” in fact states that the composition of the functions V ! V labelled by ˇ; ˛ is labelled by the product ˛ˇ in F, the “distributive law” (V6) states that the (pointwise) sum of the mappings labelled by ˛ and ˇ is labelled by the sum ˛ C ˇ in F, and (V7) states that each of the maps ˛ preserves the sum C.
    [Show full text]
  • Numerical Characterization of the Kähler
    Annals of Mathematics, 159 (2004), 1247–1274 Numerical characterization of the K¨ahler cone of a compact K¨ahler manifold By Jean-Pierre Demailly and Mihai Paun Abstract The goal of this work is to give a precise numerical description of the K¨ahler cone of a compact K¨ahler manifold. Our main result states that the K¨ahler cone depends only on the intersection form of the cohomology ring, the Hodge structure and the homology classes of analytic cycles: if X is a compact K¨ahler manifold, the K¨ahler cone K of X is one of the connected components of the set P of real (1, 1)-cohomology classes {α} which are numerically positive p on analytic cycles, i.e. Y α > 0 for every irreducible analytic set Y in X, p = dim Y . This result is new even in the case of projective manifolds, where it can be seen as a generalization of the well-known Nakai-Moishezon criterion, and it also extends previous results by Campana-Peternell and Eyssidieux. The principal technical step is to show that every nef class {α} which has positive n highest self-intersection number X α > 0 contains a K¨ahler current; this is done by using the Calabi-Yau theorem and a mass concentration technique for Monge-Amp`ere equations. The main result admits a number of variants and corollaries, including a description of the cone of numerically effective (1, 1)-classes and their dual cone. Another important consequence is the fact that for an arbitrary deformation X → S of compact K¨ahler manifolds, the K¨ahler cone of a very general fibre Xt is “independent” of t, i.e.
    [Show full text]
  • Lecture Notes and Exercises for PDE and Hilbert Spaces
    Math Tune-Up Louisiana State University August, 2008 Lectures on Partial Differential Equations and Hilbert Space 1. A linear partial differential equation of physics We begin by considering the simplest mathematical model of conduction of electricity in a material body. This is a part of electrostatics. In the body, there is an electric field E at equilibrium, which gives rise to a static electric current J (steady movement of charge). The electric field is conservative, meaning that its line integral about any closed curve in the body vanishes. Equivalently, it is generated by a scalar potential u: E = −∇u: (1.1) The electric field exerts a force on charged particles in the medium, causing a current den- sity J. The current and the electric field are related through a (real-valued) tensor σ; this is an example of a constitutive relation: J = σE: (1.2) In a static situation, the charge density ρ (charge per volume) is constant in time. This means that the charge flowing out of any region R of the material through its boundary @R must balance the charge entering into the body through an external source, which we denote by f (charge density per time): Z Z J · n dS = f: (1.3) @R R R R Since this holds for each region R, the Divergence Theorem @R J · n dS = R r·J dV , gives −∇·J = f: (1.4) In summary, the fields u, E, J, and f are related as follows: u = electric potential (energy/charge); (1.5) E = −∇u = electric field (force/charge); (1.6) J = σE = −σru = current density (charge/(time·area)); (1.7) f = −∇·σru = source (charge/(time·volume)): (1.8) The final equation is our inhomogeneous, linear, scalar, second-order, divergence-form, ellip- tic, partial differential equation: −∇·σru = f: (1.9) This equation can also be obtained through a variational principle: it is the \Euler- Lagrange" equation corresponding to a certain \Lagrangian density".
    [Show full text]
  • Integral Representation Theorems in Topological Vector Spaces
    TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 172, October 1972 INTEGRAL REPRESENTATION THEOREMS IN TOPOLOGICAL VECTOR SPACES BY ALAN H. SHUCHATi1) ABSTRACT. We present a theory of measure and integration in topological vector spaces and generalize the Fichtenholz-Kantorovich-Hildebrandt and Riesz representation theorems to this setting, using strong integrals. As an application, we find the containing Banach space of the space of continuous p-normed space-valued functions. It is known that Bochner integration in p-normed spaces, using Lebesgue measure, is not well behaved and several authors have developed integration theories for restricted classes of func- tions. We find conditions under which scalar measures do give well-behaved vector integrals and give a method for constructing examples. In recent years, increasing attention has been paid to topological vector spaces that are not locally convex and to vector-valued measures and integrals. In this article we present a theory of measure and integration in the setting of arbitrary topological vector spaces and corresponding generalizations of the Fichtenholz-Kantorovich-Hildebrandt and Riesz representation theorems. Our integral is derived from the Radon-type integral developed by Singer [20] and Dinculeanu [3] in Banach spaces. This often seems to lend itself to "softer" proofs than the Riemann-Stieltjes-type integral used by Swong [22] and Goodrich [8] in locally convex spaces. Also, although the tensor product notation is con- venient in certain places, we avoid the use of topological tensor products as in [22]. Since the spaces need not be locally convex, we must also avoid the use of the Hahn-Banach theorem as in [3], [20], for example.
    [Show full text]
  • The Holomorphic Functional Calculus Approach to Operator Semigroups
    Chapter 8 The Holomorphic Functional Calculus Approach to Operator Semigroups In Chapter 6 we have associated with a given C0-semigroup an operator, called its generator, and a functional calculus, the Hille{Phillips calculus. Here we address the converse problem: which operators are generators? The classical answer to this question and one of our goals in this chapter is the so- called Hille{Yosida theorem, which gives a characterization of the generator property in terms of resolvent estimates. However, instead of following the standard texts like [1], we shall approach the problem via a suitable functional calculus construction. Our method is generic, in that we learn here how to use Cauchy integrals over infinite con- tours in order to define functional calculi for unbounded operators satisfying resolvent estimates. (The same approach shall be taken later for defining holomorphic functional calculi for sectorial and strip-type operators.) This chapter is heavily based on the first part of [2], which in turn goes back to the unpublished note [3]. 8.1 Operators of Half-Plane Type Recall from Chapter 6 that if B generates a C0-semigroup of type (M; !), then s(B) is contained in the closed half-plane [ Re z ≤ ! ] and M kR(λ, B)k ≤ (Re λ > !): Re λ − ! In particular, if ! < α then R(·;A) is uniformly bounded for Re λ ≥ α. This \spectral data" is our model for what we shall call below an operator of \left half-plane type". Recall, however, that the associated Hille-Phillips calculus for the semi- group generated by B is actually a calculus for the negative generator 135 136 8 The Holomorphic Functional Calculus Approach to Operator Semigroups A := −B.
    [Show full text]
  • Low-Dimensional Electric Charges. Covariant Description 2 Which Is Explicitly Invariant Under the Diffeomorphism of the Manifold
    Low-dimensional electric charges. Covariant description Yakov Itin Institute of Mathematics, Hebrew University of Jerusalem and Jerusalem College of Technology E-mail: [email protected] Abstract. A compact and elegant description of the electromagnetic fields in media and in vacuum is attained in the differential forms formalism. This description is explicitly invariant under diffeomorphisms of the spacetime so it is suitable for arbitrary curvilinear coordinates. Moreover, it is independent of the geometry of the underline spacetime. The bulk electric charge and current densities are represented by twisted non-singular differential 3-forms. The charge and current densities with a support on the low dimensional submanifolds (surfaces, strings and points) naturally require singular differential forms. In this paper, we present a covariant metric-free description of the surface, string and point densities. It is shown that a covariant description requires Dirac’s delta- forms instead of delta-functions. Covariant metric-free conservation laws for the low-dimensional densities are derived. PACS numbers: 75.50.Ee, 03.50.De, 46.05.+b, 14.80.Mz 1. Introduction: Maxwell equations for differential forms The 3-dimensional description of the electromagnetic field in media is given in term of four vector fields [1]–[3]. Two of these fields, the electric field strength E and the magnetic field strength B, are of an intensity nature [1]. In the 4D-tensorial formalism, these fields are treated as the components of an antisymmetric second order tensor of the electromagnetic field strength Fij . Two other vector fields, the electric excitation D and the magnetic excitation H, are both of a quantity nature [1] and assembled in a tensorial density Hij .
    [Show full text]