Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Translation theorem

Two properties of z-transforms are important for the applications given in the following. Discussion of these properties may be found in most texts on digital control and/or digital signal processing. If F(P is defined as in Equation 16.30, the translation theorem is given by ... [Pg.332]

We can use z-transforms in a similar way to Laplace transforms and ultimately express a transfer function for discrete time that corresponds to a difference equation. First we need to derive some properties of z-transforms. Using (17-23), we develop the real translation theorem as follows ... [Pg.324]

The quantity x is a dimensionless quantity which is conventionally restricted to a range of —-ir < x < tt, a central Brillouin zone. For the case yj = 0 (i.e., S a pure translation), x corresponds to a normalized quasimomentum for a system with one-dimensional translational periodicity (i.e., x s kh, where k is the traditional wavevector from Bloch s theorem in solid-state band-structure theory). In the previous analysis of helical symmetry, with H the lattice vector in the graphene sheet defining the helical symmetry generator, X in the graphene model corresponds similarly to the product x = k-H where k is the two-dimensional quasimomentum vector of graphene. [Pg.40]

We recall, from elementary classical mechanics, that symmetry properties of the Lagrangian (or Hamiltonian) generally imply the existence of conserved quantities. If the Lagrangian is invariant under time displacement, for example, then the energy is conserved similarly, translation invariance implies momentum conservation. More generally, Noether s Theorem states that for each continuous N-dimensional group of transformations that commutes with the dynamics, there exist N conserved quantities. [Pg.378]

Polya s paper, translated here for the first time, was a landmark in the history of combinatorial analysis. It presented to mathematicians a unified technique for solving a wide class of combinatorial problems " a technique which is summarized in Polya s main theorem, the "Hauptsatz" of Section 16 of his paper, which will here be referred to as "Polya s Theorem". This theorem can be explained and expounded in many different ways, and at many different levels, ranging from the down-to-earth to highly abstract. It will be convenient for future reference to review the essentials of Polya s Theorem, and to this end I offer the following, rather mundane, way of looking at the type of problem to which the theorem applies and the way that it provides a solution. [Pg.96]

Internal energy is stored as molecular kinetic and potential energy. The equipartition theorem can be used to estimate the translational and rotational contributions to the internal energy of an ideal gas. [Pg.351]

Thus the mutual intensity at the observer is the Fourier transform of the source. This is a special case of the van Cittert-Zernike theorem. The mutual intensity is translation invariant or homogeneous, i.e., it depends only on the separation of Pi and P2. The intensity at the observer is simply / = J. Measuring the mutual intensity will give Fourier components of the object. [Pg.15]

The important information about the properties of smectic layers can be obtained from the relative intensities of the (OOn) Bragg peaks. The electron density profile along the layer normal is described by a spatial distribution function p(z). The function p(z) may be represented as a convolution of the molecular form factor F(z) and the molecular centre of mass distribution f(z) across the layers [43]. The function F(z) may be calculated on the basis of a certain model for layer organization [37, 48]. The distribution function f(z) is usually expanded into a Fourier series f(z) = cos(nqoz), where the coefficients = (cos(nqoz)) are the de Gennes-McMillan translational order parameters of the smectic A phase. According to the convolution theorem, the intensities of the (OOn) reflections from the smectic layers are simply proportional to the square of the translational order parameters t ... [Pg.209]

An important aspect of convolution is its translation into the frequency domain and vice versa. This translation is known as the convolution theorem [7], which states that ... [Pg.533]

We really need more than a mere existence theorem that a class is translatable into so that all features of C- can be modeled in C2 without loss of... [Pg.220]

THEOREM 7.5 The class of program schemes with one output variable is effectively translatable into the class of recursion schemes. [Pg.231]

The translation of a recursion augmented program scheme into a recursion scheme Is an elaboration of the construction in the proof of Theorem 7.5. [Pg.266]

THEOREM 8.2 The class of monadic recursion schemes is translatable into the class of Ianov schemes augmented by a simple pushdown store. [Pg.300]

THEOREM 8.1 The monadic recursion scheme S Fx = IF Tx THEN x ELSE gFFfx is not translatable into any strongly equivalent monadic program scheme augmented by one counter. [Pg.300]

THEOREM 8.16 Every monadic recursion scheme is weakly translatable into a monadic program scheme. [Pg.321]

The functions rj0(T) and experimental data of selected substances which closely follow the theorem of corresponding states.20 Six substances were retained argon, krypton, xenon, methane, carbon monoxide, and nitrogen (neon was discarded on account of quantum translational effects). [Pg.127]

Figure 3. The modeling relation, as adapted from J. L. Casti [90] The encoding operation provides the link between a natural system (real world) and its formal representation (mathematical world). A set of rules and computational methods allows to infer properties (theorems) of the formal system. Using a decoding relation, we can interpret those theorems in terms of the behavior of the natural system. In this sense, the inferred properties of the formal system become predictions about the natural system, allowing us to verify the consistency of the encoding. The modeling process needs to provide the appropriate encoding/decoding relations that translate back and forth between thereal world and the mathematical world. Figure 3. The modeling relation, as adapted from J. L. Casti [90] The encoding operation provides the link between a natural system (real world) and its formal representation (mathematical world). A set of rules and computational methods allows to infer properties (theorems) of the formal system. Using a decoding relation, we can interpret those theorems in terms of the behavior of the natural system. In this sense, the inferred properties of the formal system become predictions about the natural system, allowing us to verify the consistency of the encoding. The modeling process needs to provide the appropriate encoding/decoding relations that translate back and forth between thereal world and the mathematical world.
The preceding suggests that the structure of the density of vibrational states in the hindered translation region is primarily sensitive to local topology, and not to other details of either structure or interaction. This is indeed the case. Weare and Alben 35) have shown that the density of vibrational states of an exactly tetrahedral solid with zero bond-bending force constant is particularly simple. The theorem states that the density of vibrational states expressed as a function of M (o2 (in our case M is the mass of a water molecule) consists of three parts, each of which contains one state per molecule. These arb a delta function at zero, a delta function at 8 a, where a is the bond stretching force constant, and a continuous band which has the same density of states as the "one band Hamiltonian... [Pg.180]

Data for the theorem prover has to be translated into clauses, the only form the theorem prover recognizes. A clause is the "OR" of one or more literals where a literal is a predicate and its arguments. A predicate is a property or relationship that is true or false. Its arguments can encompass any number of functions. A function returns true, false or some other value. The statement "x + y > y + z" can be written as a clause using the function "Sum" and the Predicate "GreaterThan." The resulting one-literal clause looks like this ... [Pg.245]


See other pages where Translation theorem is mentioned: [Pg.13]    [Pg.593]    [Pg.593]    [Pg.596]    [Pg.41]    [Pg.22]    [Pg.149]    [Pg.51]    [Pg.324]    [Pg.513]    [Pg.514]    [Pg.13]    [Pg.593]    [Pg.593]    [Pg.596]    [Pg.41]    [Pg.22]    [Pg.149]    [Pg.51]    [Pg.324]    [Pg.513]    [Pg.514]    [Pg.472]    [Pg.389]    [Pg.292]    [Pg.40]    [Pg.1035]    [Pg.102]    [Pg.153]    [Pg.350]    [Pg.351]    [Pg.67]    [Pg.575]    [Pg.644]    [Pg.271]    [Pg.244]   
See also in sourсe #XX -- [ Pg.593 ]




SEARCH



Spherical wave functions translation addition theorem

Vector spherical wave functions translation addition theorem

© 2024 chempedia.info