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50 algebra representations

More often, however, s.a. methods are applied at the outset, with more or less arbitrary initial approximations, and without previous application of a direct method. Usually this is done if the matrix is extremely large and extremely sparse, which is most often true of the matrices that arise in the algebraic representation of a functional equation, especially a partial differential equation. The advantage is that storage requirements are much more modest for s.a. methods. [Pg.59]

With the feedforward and load path shown, the corresponding algebraic representation is... [Pg.195]

Concepts in quantum field approach have been usually implemented as a matter of fundamental ingredients a quantum formalism is strongly founded on the basis of algebraic representation (vector space) theory. This suggests that a T / 0 field theory needs a real-time operator structure. Such a theory was presented by Takahashi and Umezawa 30 years ago and they labelled it Thermofield Dynamics (TFD) (Y. Takahashi et.al., 1975). As a consequence of the real-time requirement, a doubling is defined in the original Hilbert space of the system, such that the temperature is introduced by a Bogoliubov transformation. [Pg.193]

Table 6.2(b) is an algebraic representation, using Marxian categories, of the input-output table for simple reproduction. In comparison with Table 6.1, this provides a clearer and more detailed representation of simple reproduction, since the expenditure of surplus value on capitalist consumption is shown explicitly as u. Moreover, the condition of simple reproduction is embodied in the assumption that total inputs are equal to total outputs (see Sweezy 1942 162). Writing out these input-output balances explicitly,... [Pg.66]

Each element of the X X) matrix is a summation of products (see Appendix A). A common algebraic representation of the X X) matrix for the straight-line model y, - Po + PiXi,. + r, is... [Pg.120]

These early approaches suffered from two drawbacks. First, simultaneous approaches lead to much larger nonlinear programs than embedded model approaches. Consequently, nonlinear programming methods available at that time were too slow to compete with smaller feasible path formulations. Second, care must be taken in the formulation in order to yield an accurate algebraic representation of the differential equations. [Pg.221]

A useful feature of the algebraic representations of geometric quantities is the ease with which one can work in dimensions higher than three. Although it is difficult to visualize the angle between two five-dimensional vectors, there is no particular problem involved in taking the dot product between two vectors of the form (xi,X2,xs,X4,X5). [Pg.26]

Transformation (39) applied to the case of a non-Coulomb spherically-symmetric potential results in an equation in which residual terms proportional to W = V + Z/r would appear. Its algebraic representation reads ... [Pg.225]

In the future, such algebraic representations can be constructed and analyzed for more complex mechanisms, e.g. two-route mechanisms, mechanisms with two sites of active centers, etc. It is quite interesting that the hypergeometric representation describes also the "low-rate" branch, which is located in the domain "very far" from the equilibrium. [Pg.88]

Following are more examples of the algebraic representation of lists of consecutive integers. You choose the number for n, and the rest fall in line. Of course, if you want even integers, you have to pick an even integer for n ... [Pg.160]

The topology of such a network can be represented in several different ways. An algebraic representation is the x Aa connectivity or adjacency matrix,... [Pg.20]

Then we say that T is a homomorphism of (Lie algebra) representations. If in addition T is injective and surjective then we say that T is an isomorphism of (Lie algebra) representations and that p is isomorphic fo p. [Pg.242]

Partial differential operators will play a large role in the examples of Lie algebra representations that concern us. Hence it behooves us to consider partial derivative calculations carefully. Consider a simple example ... [Pg.242]

All of the results of Section 6.1 apply, mutatis mutandis, to irreducible Lie algebra representations. For example, if T is a homomorphism of Lie algebra representations, then the kernel of T and the image of T are both invariant subspaces. This leads to Schur s Lemma for Lie algebra representations. [Pg.244]

Proposition 8.5 Suppose g is a Lie algebra and (g, V, p) is a Lie algebra representation. Suppose T. V V commutes with p. Then each eigenspace ofT is an invariant space of the representation p. [Pg.245]

Definition 8.8 Suppose su(2 ),V, p) is a finite-dimensional Lie algebra representation. Suppose vq is an eigenvector of plfi) with the property that XpVo = 0. Then vq is a highest weight vector for the representation p. [Pg.250]

Now we are ready to classify the finite-dimensional, irreducible Lie algebra representations of 5m(2). [Pg.253]

The results of the current section, both the lowering operators and the classification, will come in handy in Section 8.4, where we classify the irreducible representations of so(4). One can apply the classification of the irreducible representations of the Lie algebra sm(2) to the study of intrinsic spin, as an alternative to our analysis of spin in Section 10.4. More generally, raising and lowering operators are widely useful in the study of Lie algebra representations. [Pg.255]

Proposition 8.11 Suppose (su(2 ), V,p) is a finite-dimensional irreducible Lie algebra representation. Then the Casimir operator is a scalar multiple of the identity on V. [Pg.257]

Exercise 8.9 Construct a Lie algebra representation (sii(2), V, p) with two highest weight vectors Vq and Vi such that their corresponding eigenvalues Ao Al (respectively) are not equal. [Pg.278]

Exercise 8.12 Show that the function pi 0 / + / 0 p from Definition 8.10 satisfies the definition of a Lie algebra representation. [Pg.279]

The matrix-algebraic representation (9.20a-e) of Euclidean geometrical relationships has both conceptual and notational drawbacks. On the conceptual side, the introduction of an arbitrary Cartesian axis system (or alternatively, of an arbitrarily chosen set of basis vectors ) to provide vector representations v of geometric points V seems to detract from the intrinsic geometrical properties of the points themselves. On the notational side, typographical resources are strained by the need to carefully distinguish various types of... [Pg.323]

A common algebraic representation of the (X X) matrix for the straight-line model >U = 0 PlXU rli S... [Pg.106]


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See also in sourсe #XX -- [ Pg.23 , Pg.204 ]




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