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Integrated functionality

The literature on ergodic theory contains an interesting theorem concerning the spectrum of the Frobenius-Perron operator P. In order to state this result, we have to reformulate P as an operator on the Hilbert space L P) of all square integrable functions on the phase space P. Since and, therefore, / are volume preserving, this operator P L P) —+ L r) is unitary (cf. [20], Thm. 1.25). As a consequence, its spectrum lies on the unit circle. [Pg.107]

The structure of the section is as follows. In Section 2.8.2 we give necessary definitions and construct a Borel measure n which describes the work of the interaction forces, i.e. for a set A c F dr, the value /a(A) characterizes the forces at the set A. The next step is a proof of smoothness of the solution provided the exterior data are regular. In particular, we prove that horizontal displacements W belong to in a neighbourhood of the crack faces. Consequently, the components of the strain and stress tensors belong to the space In this case the measure n is absolutely continuous with respect to the Lebesgue measure. This confirms the existence of a locally integrable function q called a density of the measure n such that... [Pg.140]

This phase involves the performance of check-out and nm-in activities to ensure that equipment and piping are mechanically integrated, functionally located and free of obstructions It is also necessary to ensure that instruments and controls are fimchoning properly and that all previously identified problems have been addressed. All maintenance and operating procedures need to be verified as correct. [Pg.353]

The function h(t ) i(t + r)dt is often referred to as the autocorrelation function of the Amotion h(t) however, the reader should be careful to note the difference between the autocorrelation function of h(t)—an integrable function—and the autocorrelation function of Y(t)—a function that is not integrable because it does not die out in time. With this distinction in mind, Campbell s theorem can be expressed by saying that the autocovariance function of a shot noise process is n times the autocorrelation function of the function h(t). [Pg.174]

First we define the linear map that produces the densities from N-particle states. It is a map from the space of A -particle Trace Class operators into the space of complex valued absolute integrable functions of space-spin variables... [Pg.225]

One can show (30) that densities are square integrable and thus belong to the Hilbert space I2 (Y) of square integrable functions. This allows one to define... [Pg.227]

Some problems in functional optimization can be solved analytically. A topic known as the calculus of variations is included in most courses in advanced calculus. It provides ground rules for optimizing integral functionals. The ground rules are necessary conditions analogous to the derivative conditions (i.e., df jdx = 0) used in the optimization of ordinary functions. In principle, they allow an exact solution but the solution may only be implicit or not in a useful form. For problems involving Arrhenius temperature dependence, a numerical solution will be needed sooner or later. [Pg.208]

The integral function is symmetrical about the coordinate (z = 0, CP = 0.5000) for this reason only the right half is tabulated, tbe other values being obtained by subtraction from 1.000. [Pg.34]

Animal behavior has been dehned by Odnm (1971) as the overt action an organism takes to adjnst to its environment so as to ensure its survival. A simpler definition is the dynamic interaction of an animal with its enviromnent (D Mello 1992). Another, more elaborate, one is, the outward expression of the net interaction between the sensory, motor arousal, and integrative components of the central and peripheral nervons systems (Norton 1977). The last dehnition spells out the important point that behavior represents the integrated function of the nervous system. Accordingly, disruption of the nervous system by neurotoxic chemicals may be expected to cause changes in behavior (see Klaasen 1996, pp. 466-467). [Pg.295]

As a consequence of the aforementioned discretization, the number of test points Np, and the linear cutoff Nx in the mode decomposition turn out to be closely related. Denoted by Ax, the typical linear distance between two adjacent test points, Ax must be small enough to ensure that the integral function E is well approximated by the sum E, i. e., Ax must fulfil the condition c(x + Ax) c(x). This is to say that the length scale Ax directly determines the minimal length scale contribution of the Fourier modes, which is Lr/Nx. Consequently, after having fixed N, the spatial variation of c(x) as a function of the number of test points Np has to be carefully monitored to determine the maximum distance Ax ensuring that c(x + Ax) c(x) in the entire box. Typically, for N = 8, we have found that a minimum of 233 test points in a box of unit length is necessary. [Pg.63]

Example 8.7. What are the Bode and Nyquist plots of a pure integrating function G(s) = K/s ... [Pg.153]

The s = jco substitution in the integrating function leads to a pure imaginary number ... [Pg.153]

Interneurons are found in all areas of the spinal cord gray matter. These neurons are quite numerous, small, and highly excitable they have many interconnections. They receive input from higher levels of the CNS as well as from sensory neurons entering the CNS through the spinal nerves. Many intemeurons in the spinal cord synapse with motor neurons in the ventral hom. These interconnections are responsible for the integrative functions of the spinal cord including reflexes. [Pg.67]

G. A. Blinov, Hybrid Integral Functional Devices, Visshaja Shkola, Moscow, 1987,... [Pg.502]

Finally, the cumulative distribution function G(X) is defined as the integral function of the differential distribution function g(X) ... [Pg.210]

Kerstiens G (ed) (1996) Plant cuticles an integrated functional approach. BIOS Scientific Publishers, Oxford UK... [Pg.46]

Edwards D, Abbott GD, Raven JA (1996) Cuticles of early land plants a palaeoecophy-siological evaluation. In Kerstiens G (ed) Plant cuticles an integrated functional approach. BIOS Scientific Publishers, Oxford UK, chap 1... [Pg.50]


See other pages where Integrated functionality is mentioned: [Pg.194]    [Pg.399]    [Pg.216]    [Pg.27]    [Pg.43]    [Pg.59]    [Pg.183]    [Pg.193]    [Pg.821]    [Pg.821]    [Pg.196]    [Pg.566]    [Pg.169]    [Pg.229]    [Pg.232]    [Pg.258]    [Pg.161]    [Pg.9]    [Pg.57]    [Pg.270]    [Pg.242]    [Pg.354]    [Pg.358]    [Pg.370]    [Pg.372]    [Pg.507]    [Pg.239]    [Pg.242]   
See also in sourсe #XX -- [ Pg.45 ]




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Basis functions overlap integrals

Bessel coefficients (13 functions 4 integral function

Bessel functions integral representation

Business functional integration

Calculation of the partition function by integrating heat capacity curves

Cell function biochemical integration

Cluster integrals function

Compressibility equation, integral equations pair correlation function

Correlation function, collision integral

Correlation functions, integral equations

Corresponding-states function integrals

Delta function integral

Density functional and classic integral equation theories

Dirac delta function integral representation

Direct correlation function integrals

Discrete form of electromagnetic integral equations based on boxcar basis functions

Discretized path-integral representation partition functions

Distribution Functions and Kirkwood-Buff Integrals

Distribution function, integrated

Elliptic integral function

Error function integrated

Exponential integral function

Fermi integral function

Function of integration time

Function square-integrable

Functional Integration Flexible Polymer Chains

Functional Integration Stiff Polymer Chains

Functional Interactions of PARP-1 with p53 and Genomic Integrity

Functional differentiation and integration

Functional integral

Functional integral

Functional integral formulation

Functional integration

Functional integration

Functional variation integral evaluation

Functions integral

Functions integral

Functions, integrating

Gaussian functional integrals

Improper Integrals of Rational Functions

Indicator function integration dimensions

Influence functional, path integration

Integral distribution function

Integral equations functions

Integral equations pair correlation function

Integral transformation function

Integrals function example

Integrals over Gaussian-Type Functions

Integrals over basis functions

Integrated Intensity as a Function of Annealing Time

Integrated distributed functionalities

Integrated functional unit

Integrated optimal functioning

Integrated safety management functions

Integrated-circuit packaging package functions

Integration hyperbolic functions

Integration of functions

Integration orthogonal functions

Integration square integrable functions

Lagrange Interpolation and Numerical Integration Application on Error Function

Logarithmic integral function

Material reduction integrated functions

Molecular integral evaluation Boys function

Multiple integrals Valued function

Multiscale characterization and testing of function-integrative fiber-reinforced composites

Objective function integration

Overlap integral Partition functions

Particle integral function

Partition function path integral expression

Partition function path integral relations

Partition function, path integral

Partition function, path integral method

Path Integral Connection With Density Functional Theory

Path integral Monte Carlo partition function

Path integrals approach quantum partition function

Path-integral molecular dynamics partition functions

Phase-integral approximation generated from an unspecified base function

Radial distribution function integral formulation

Radial distribution function integration

Spherical wave functions integral representations

State function, integrating

Structure integral functions

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Thermodynamic functions, calculated from phase integral

Thermodynamics, integral equations, pair correlation function

Transformation Using Functional Integral Identities

Transformation functional integral identities

Two-electron integrals over basis functions

Variation of an Integral Objective Functional

Vector spherical wave functions integral representations

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