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Linear function spaces

The idea of a vector space is usefully extended to an infinite number of dimensions for continuous functions. Given a function /(e.g.,/ = sinx) and a definition domain (e.g., 0 to In), the coordinates of / = sin x will be the infinite number of values of the function over the definition domain. This definition is consistent with that of Euclidian spaces if a metric is defined. In about the same way as the squared norm of the n-vector x(xux2,. .., x ) is [Pg.99]

In general, the squared-modulus of the vector function f(x) over the domain Sd is [Pg.100]


A representation is called real when, in a linear function space corresponding to it, a basis can be chosen such that matrices of all operators of this representation are real. [Pg.30]

When two electronie states are degenerate at a particular point in configuration space, the elements of the diabatie potential energy matiix can be modeled as a linear function of the coordinates in the following fonn ... [Pg.81]

An illustrative example generates a 2 x 2 calibration matrix from which we can determine the concentrations xi and X2 of dichromate and permanganate ions simultaneously by making spectrophotometric measurements yi and j2 at different wavelengths on an aqueous mixture of the unknowns. The advantage of this simple two-component analytical problem in 3-space is that one can envision the plane representing absorbance A as a linear function of two concentration variables A =f xuX2). [Pg.83]

In elementary algebra, a linear function of the coordinates xi of a variable vector f = (jci, JT2,..., Jc ) of the finite-dimensional vector space V = V P) is a polynomial function of the special form... [Pg.220]

We. .. therefore define a linear functional / on any vector space V over any field F as a function which satisfies the above identities. [Pg.220]

Radiative heat transfer is perhaps the most difficult of the heat transfer mechanisms to understand because so many factors influence this heat transfer mode. Radiative heat transfer does not require a medium through which the heat is transferred, unlike both conduction and convection. The most apparent example of radiative heat transfer is the solar energy we receive from the Sun. The sunlight comes to Earth across 150,000,000 km (93,000,000 miles) through the vacuum of space. FIcat transfer by radiation is also not a linear function of temperature, as are both conduction and convection. Radiative energy emission is proportional to the fourth power of the absolute temperature of a body, and radiative heat transfer occurs in proportion to the difference between the fourth power of the absolute temperatures of the two surfaces. In equation form, q/A is defined as ... [Pg.613]

A(Y) Linear noimed space of absolutely integrable complexvalued functions of 3 real and 2 complex variables. Arbitrary elements are denoted by C and densities by p... [Pg.245]

Without loss of generality y = y can be assumed. If the dipole moment can be assumed to be a linear function of coordinate within the spread of the frozen Gaussian wave packet, the matrix element (gy,q,p, Pjt(r) Y,q, p ) can be evaluated analytically. Since the integrand in Eq. (201) has distinct maxima usually, we can introduce the linearization approximation around these maxima. Namely, the Taylor expansion with respect to bqp = Qq — Qo and 8po = Po — Po is made, where qj, and pj, represent the maximum positions. The classical action >5qj, p , ( is expanded up to the second order, the final phase-space point (q, p,) to the first order, and the Herman-Kluk preexponential factor Cy pj to the zeroth order. This approximation is the same as the ceUularization procedure used in Ref. [18]. Under the above assumptions, various integrations in U/i(y, q, p ) can be carried out analytically and we have... [Pg.174]

The physical meaning of the g (ion) potential depends on the accepted model of an ionic double layer. The proposed models correspond to the Gouy-Chapman diffuse layer, with or without allowance for the Stem modification and/or the penetration of small counter-ions above the plane of the ionic heads of the adsorbed large ions. " The experimental data obtained for the adsorption of dodecyl trimethylammonium bromide and sodium dodecyl sulfate strongly support the Haydon and Taylor mode According to this model, there is a considerable space between the ionic heads and the surface boundary between, for instance, water and heptane. The presence in this space of small inorganic ions forms an additional diffuse layer that partly compensates for the diffuse layer potential between the ionic heads and the bulk solution. Thus, the Eq. (31) may be considered as a linear combination of two linear functions, one of which [A% - g (dip)] crosses the zero point of the coordinates (A% and 1/A are equal to zero), and the other has an intercept on the potential axis. This, of course, implies that the orientation of the apparent dipole moments of the long-chain ions is independent of A. [Pg.41]

This section introduces the basic mathematics of linear vector spaces as an alternative conceptual scheme for quantum-mechanical wave functions. The concept of vector spaces was developed before quantum mechanics, but Dirac applied it to wave functions and introduced a particularly useful and widely accepted notation. Much of the literature on quantum mechanics uses Dirac s ideas and notation. [Pg.80]

A set of complete orthonormal functions ipfx) of a single variable x may be regarded as the basis vectors of a linear vector space of either finite or infinite dimensions, depending on whether the complete set contains a finite or infinite number of members. The situation is analogous to three-dimensional cartesian space formed by three orthogonal unit vectors. In quantum mechanics we usually (see Section 7.2 for an exception) encounter complete sets with an infinite number of members and, therefore, are usually concerned with linear vector spaces of infinite dimensionality. Such a linear vector space is called a Hilbert space. The functions ffx) used as the basis vectors may constitute a discrete set or a continuous set. While a vector space composed of a discrete set of basis vectors is easier to visualize (even if the space is of infinite dimensionality) than one composed of a continuous set, there is no mathematical reason to exclude continuous basis vectors from the concept of Hilbert space. In Dirac notation, the basis vectors in Hilbert space are called ket vectors or just kets and are represented by the symbol tpi) or sometimes simply by /). These ket vectors determine a ket space. [Pg.80]

Whilst Example 3.1 is an extremely simple example, it illustrates a number of important points. If the optimization problem is completely linear, the solution space is convex and a global optimum solution can be generated. The optimum always occurs at an extreme point, as is illustrated in Figure 3.12. The optimum cannot occur inside the feasible region, it must always be at the boundary. For linear functions, running up the gradient can always increase the objective function until a boundary wall is hit. [Pg.44]

In view of the preceding considerations it should be emphasized that it is incorrect to talk about the self-consistent-field molecular orbitals of a molecular system in the Hartree-Fock approximation. The correct point of view is to associate the molecular orbital wavefunction of Eq. (1) with the N-dimen-sional linear Hilbert space spanned by the orbitals t/2,... uN any set of N linearly independent functions in this space can be used as molecular orbitals for forming the antisymmetrized product. [Pg.38]

Note the similarity of Eqs. 2.43 and 2.44 with Eqs. 2.80 and 2.81 because both the vectors in the former equations and the functions of the latter are all elements of linear vector spaces. The main difference arises in the way in which the inner products are evaluated. Also, as was the case for vectors, if the field functions are non-negative functions, SCar(F, F pj will be non-negative. When this is not the case, however, Sr.ir(F (,F g) may become negative, a situation that also obtains for the other similarity indices discussed in the remainder of this section. Maggiora et al. (43) have treated this case in great detail for continuous field functions, but the arguments can be carried through for finite vectors as well (vide supra). [Pg.31]

In Section 4.4 we saw how to build a representation from the action of a group on a set the new representation space is a space of functions. In this section, we apply this idea to linear functions on a vector space of a representation to define the dual representation. [Pg.164]

An n-dimensional function space is defined by specifying n mutually orthogonal, normalized, linearly-independent functions, [et, e j and es define physical space] they are called orthonormal basis functions. [Pg.87]

If an n-dimensional function space is defined by the set of linearly-independent basis functions. ../, . .., and fn and if these are... [Pg.89]

The requirement that Ottfi produces a function belonging to the given function space (see eqn (5-6.2)) will be met by the proper choice of function space (see 5-8). If this is the case, however, we can write, for an n-dimensional function space defined by the linear ly-independent basis functions fx, ft. .., and fn,... [Pg.90]

Let us consider a particular n-dimensional function space, that is one which requires n linearly-independent basis functions to specify any... [Pg.103]

Consider the point group and the transformation operators Om for the d-orbital function space. If we do not choose our five linearly-independent basis functions for this space with any particular care, we... [Pg.111]


See other pages where Linear function spaces is mentioned: [Pg.99]    [Pg.99]    [Pg.101]    [Pg.103]    [Pg.105]    [Pg.107]    [Pg.109]    [Pg.373]    [Pg.99]    [Pg.99]    [Pg.101]    [Pg.103]    [Pg.105]    [Pg.107]    [Pg.109]    [Pg.373]    [Pg.59]    [Pg.424]    [Pg.1085]    [Pg.73]    [Pg.179]    [Pg.218]    [Pg.331]    [Pg.238]    [Pg.94]    [Pg.104]    [Pg.22]    [Pg.330]    [Pg.105]    [Pg.30]    [Pg.76]    [Pg.87]    [Pg.88]    [Pg.88]    [Pg.90]   


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Linear functionals

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