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Classical Vector Spaces

In classical analytical geometry of 3-dimensionai space, a vector is represented by its coordinates, say (x, y, z)- The summation and scalar multiplication are introduced by [Pg.523]

The first generalisation of the concept of vector space was considering an arbitrary number n of coordinates in an n-dimensional space such spaces occur for example in analytical mechanics of a set of material points. [Pg.523]

Less trivial (and surprisingly abstract if presented rigorously) is the vector concept adopted in this book. Let us make a step aside. [Pg.523]

Consider an industrial plant manufacturing a variety of products. The items are registered on a list under certain conventional names. Let L be this list, I (e L) be the name (address) of a product. In selected intervals, the production is balanced in money units let m, be the corresponding item for the /-th product. As negative product we can regard a raw material the corresponding nti is then negative. The summary production of product / in two subsequent intervals (m, and m]) is obtained by summation, thus m, + the increase in production per [Pg.523]

As is readily verified, the set A then fulfils all the axioms of vector space (I-III [Pg.524]


In quantum theory, physical systems move in vector spaces that are, unlike those in classical physics, essentially complex. This difference has had considerable impact on the status, interpretation, and mathematics of the theory. These aspects will be discussed in this chapter within the general context of simple molecular systems, while concentrating at the same time on instances in which the electronic states of the molecule are exactly or neatly degenerate. It is hoped... [Pg.94]

Note that the applicahon of representation theory to quantum mechanics depends heavily on the linear nature of quantum mechanics, that is. on the fact that we can successfully model states of quantum systems by vector spaces. (By contrast, note that the states of many classical systems cannot be modeled with a linear space consider for example a pendulum, whose motion is limited to a sphere on which one cannot dehne a natural addition.) The linearity of quantum mechanics is miraculous enough to beg the ques-hon is quantum mechanics truly linear There has been some inveshgation of nonlinear quantum mechanical models but by and large the success of linear models has been enormous and long-lived. [Pg.136]

Another crucial ingredient to derive classical mechanics, is the Fourier-Wigner transform, defined in eq.(16). Thereby, we introduced the vector space C /j 2 (M2n) spanned by the functions f(q, p), on which position X3 and momentum hD3 operators (as usual, j = 1,..., n is a vector index in Rn) act as... [Pg.449]

Contact with functions on 2N-dimensional classical phase space is obtained by introducing the p, q representation of the abstract Hilbert space vector of p and operator L. Specifically, (p,q p) = p(p,q) and... [Pg.402]

The concept of phase space in statistical mechanics is of central importance in the statistical theory of reactions. Consider a molecule consisting of N atoms with a Hamiltonian //(p,q). The momenta, p, and position, q, vectors will consist of n = 3N — 6 terms. (We exclude the three degrees of translation and three degrees of overall external rotation.) The classical phase space volume of such a system with a maximum energy E is defined by the integral... [Pg.172]

Ever since the advent of quantum mechanics attempts have been made to have a classical interpretation of the same. Reducing the quantum mechanics to a 3D vector space became very important and p(f) being a 3D function has become the immediate choice. ... [Pg.67]

The individual unit of classical information is the bit an object that can take either one of two values, say 0 or 1. The corresponding unit of quantum information is the quantum bit or qubit. It describes a state in the simplest possible quantum system [1,2]. The smallest nontrivial Hilbert space is two-dimensional, and we may denote an orthonormal basis for the vector space as 0> and 11 >. A single bit or qubit can represent at most two numbers, but qubits can be put into infinitely many other states by a superposition ... [Pg.631]

The elimination of the anisotropic part in Eq. 3.22 leads to the Heisenberg Hamiltonian for isotropic magnetic interactions. The spins are considered as co-linear vectors whose principal quantization axis has no spatially preferred orientation. An even simpler model Hamiltonian can be obtained by putting Axx and Ayy to zero in Eq. 3.21. Then, the spin reduces to a classical vector whose orientation in space is not defined and the resulting model Hamiltonian describes the isotropic coupling of two (anti-)parallel spins. Replacing A z by -J, the following expression is obtained... [Pg.74]

The EA-Hamiltonian in eq. 9 is now written for classical vector spins 5, with m components, /x = 1,.. . , m. The ju. = 1 component is defined to be parallel to the field H. The SG order parameter is then a tensor in spin space with... [Pg.237]

An alternative route is based on time-dependent approaches, where the standard statistical mechanics formalism relies on Fourier transform of the time correlation of vibrational operators [54—57]. These approaches can provide a complete description of the experimental spectrum, that is, the characterization of the real molecular motion consisting of many degrees of freedom activated at finite temperature, often strongly coupled and anharmonic in namre. However, computation of the exact quantum dynamics evolution of the nuclei on the ab initio potential surface is as prohibitive as the quantum/stationary-state approaches. In fact, even a semiclassical description of the time evolution of quanmm systems is usually computationally expensive. Therefore, time correlation methods for realistic systems are usually carried out by sampling of the nuclear motion in the classical phase space. In this context, summation over i in Eq. 11.1 is a classical ensemble average furthermore, the field unit vector e can be averaged over all directions of an isotropic fluid, leading to the well-known expression... [Pg.522]

The solution of time evolution problems for classical systems is facilitated by introducing a classical phase space representation that plays a role in the description of classical systems in a matmer that is formally analogous to the role played by the coordinate and momentum representations in quantum mechanics. The state vectors T ) of this representation enumerate all of the accessible phase points. The phase function /(E ) is given by / (f ) = (f I/), which can be thought to represent a component of the vector f) in the classical phase space representation. The application of the classical Liouville operator (f ) to the phase function /(f ) is defined by (f )/(f ) = (f I/), where is an abstract op-... [Pg.254]

In Section 34-3 we show how the classical, free-space representation of the radiation fields in terms of the vector potential A is modified by the presence of... [Pg.448]

It is convenient to analyse tliese rate equations from a dynamical systems point of view similar to tliat used in classical mechanics where one follows tire trajectories of particles in phase space. For tire chemical rate law (C3.6.2) tire phase space , conventionally denoted by F, is -dimensional and tire chemical concentrations, CpC2,- are taken as ortliogonal coordinates of F, ratlier tlian tire particle positions and velocities used as tire coordinates in mechanics. In analogy to classical mechanical systems, as tire concentrations evolve in time tliey will trace out a trajectory in F. Since tire velocity functions in tire system of ODEs (C3.6.2) do not depend explicitly on time, a given initial condition in F will always produce tire same trajectory. The vector R of velocity functions in (C3.6.2) defines a phase-space (or trajectory) flow and in it is often convenient to tliink of tliese ODEs as describing tire motion of a fluid in F with velocity field/ (c p). [Pg.3055]

This corresponds with a choice of factor scaling coefficients a = 1 and p = 0, as defined in Section 31.1.4. Note that classical PCA implicitly assumes a Euclidean metric as defined above. Let us consider the yth coordinate axis of column-space, which is defined by a p-vector of unit length of the form ... [Pg.150]

MD simulations of melts of C44H90, based on classic techniques in continuous space, have been reported recently using united atom [146] and fully atomistic [145] representations of the chain. Time in the conventional MD simulations is expressed in seconds, whereas time in the simulation of the coarse-grained chains on the 2nnd lattice is expressed in MC steps. Nevertheless, a few comparisons are possible via the longest relaxation time, rr, deduced from the decorrelation of the end-to-end vector ... [Pg.109]

MATLAB will return the vector [0 1.29], meaning that K, = 0, and K2 = 1.29, which was the proportional gain obtained in Example 7.5A. Since K, = 0, we only feedback the controlled variable as analogous to proportional control. In this very simple example, the state space system is virtually the classical system with a proportional controller. [Pg.180]

Within these coordinates the visual-acoustic installation The Heart (2006-2007) becomes precisely this kind of curvature radius that is the basis of heterogeneity in our space as the history and physiology of civilization. The vectors of observing the latest artistic reality that are parallel in classical art,... [Pg.79]

The model protein is used to search the crystal space until an approximate location is found. This is, in a simplistic way, analogous to the child s game of blocks of differing shapes and matching holes. Classical molecular replacement does this in two steps. The first step is a rotation search. Simplistically, the orientation of a molecule can be described by the vectors between the points in the molecule this is known as a Patterson function or map. The vector lengths and directions will be unique to a given orientation, and will be independent of physical location. The rotation search tries to match the vectors of the search model to the vectors of the unknown protein. Once the proper orientation is determined, the second step, the translational search, can be carried out. The translation search moves the properly oriented model through all the 3-D space until it finds the proper hole to fit in. [Pg.464]

Hirao has also recently considered the transformation of CASSCF wavefrmctions to valence bond form [24, 25]. An orthogonal VB orbital basis was first considered, in which case the CASSCF Cl vector may be found by re-solving the Cl problem. Later he considered also the transformation to a classical VB representation. The transformation of the CASSCF space was achieved by calculating all overlap terms, (oCASscFj cASVB gjjjj golving the subsequent linear problem, using a Davidson-like iterative scheme. [Pg.304]

The space-charge current density in vacuo expressed by Eqs. (3) and (4) constitutes the essential part of the present extended theory. To specify the thus far undetermined velocity C, we follow the classical method of recasting Maxwell s equations into a four-dimensional representation. The divergence of Eq. (1) can, in combination with Eq. (4), be expressed in terms of a fourdimensional operator, where (j, 7 p) thus becomes a 4-vector. The potentials A and are derived from the sources j and p, which yield... [Pg.6]


See other pages where Classical Vector Spaces is mentioned: [Pg.523]    [Pg.523]    [Pg.41]    [Pg.267]    [Pg.130]    [Pg.443]    [Pg.99]    [Pg.5]    [Pg.322]    [Pg.37]    [Pg.723]    [Pg.1820]    [Pg.44]    [Pg.6]    [Pg.11]    [Pg.301]    [Pg.220]    [Pg.151]    [Pg.280]    [Pg.5]    [Pg.26]    [Pg.148]    [Pg.69]    [Pg.27]    [Pg.179]    [Pg.375]    [Pg.83]    [Pg.103]   


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