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Euclidean geometric dimensionality

If then we abandon the standard three-dimensional Euclidean perspective and adopt this non-Euclidean two-dimensional view, it can be seen that stable polymorphs are characterised by a global geometric constraint surface density 2"1, and a local constraint Gaussian curvature, . We shall see in Chapter 4 that this description is identical to one that accounts for the mesophase behaviour of lyotropic liquid crystals in amphiphile-water mixtures. [Pg.65]

Intuitively, a graph can be realized geometrically in a three-dimensional Euclidean space vertices arc represented by points and edges are represented either by lines (in the case of undirected graphs) or arrows (in the case of directed graphs). In this book, we will be concerned with both kinds of graphs multiple edges i.e. when vertices arc connected by more than one line or arrow), however, are not allowed. [Pg.30]

Suppose that V is a finite-dimensional complex vector space. By the definition this means that V has a finite basis. It turns out that all the different bases of V must be the same size. This is geometrically plausible for real Euclidean vector spaces, where one can visualize a basis of size one determiiung a line, a basis of size two determining a plane, and so on. The same is true for complex vector spaces. A key part of the proof, useful in its own right, is the following fact. [Pg.46]

A geometric interpretation follows from mapping the n x n fee-matrices B onto points P(B) in an n2-dimensional euclidean space. There D(B, E) is the Lt-distance, the city block -or taxi driver -distance, between P(B) and P(E). Thus an FIEM(A) corresponds to a lattice of points in an n2-dimensional euclidean space. The reaction matrices correspond to vectors between the fee-points [9,19,33]. [Pg.206]

The unlabeled triangle is the simplex in E (2-simplex) and the unlabeled tetrahedron is the simplex in (3-simplex) evidently, whether enantiomorphous -simplexes can be partitioned into homochirality classes depends on the dimension of E". Recall that an /j-simplex is a convex hull of + 1 points that do not lie in any (n - l)-dimensional subspace and that are linearly independent that is, whenever one of the points is fked, the n vectors that link it to the other n points form a basis for an n-dimensional Euclidean space An n-simplex may be visualized as an n-dimensional polytope (a geometrical figure in E" bounded by lines, planes, or hyperplanes) that has n + vertices, n n + )/2 edges, and is bounded by n + 1 (u — l)-dimensional subspaces. It has been shown that the homochirality problem for the simplex in E is shared by all -sim-... [Pg.76]

A geometric simplicial p-complex k(p) is a finite set of disjoint q-simplices of the n-dimensional Euclidean space "E, where q = 0, I,. .. p, such that, if... [Pg.59]

The geometrical meaning is that the Eckart subspace pf is perpendicular to the three-dimensional manifold of rigid-body rotation at the reference configuration z.si. The Eckart subspace is Euclidean since the conditions in Eq. (32) are linear. Therefore this space can be spanned by vectors , (p = 1,..., 3m — 6) that specify the 3m 6 directions of (vibrational) normal modes at the reference configuration zVI- in the (3m — 3(-dimensional configuration space. The vectors (m,m are orthonormal as Mi > = [Pg.107]

Jt follows that identity of leftness and rightness is the geometrical property of the three-dimensional Euclidean space . This proposal leads Vernadsky (1988, p. 271) to the next statement The lack of this identity and the cleancut prevalence of leftness in the material substratum of living matter and the prevalence of rightness in their functions points out that the space that is occupied by living matter could not correspond to the Euclidean space . [Pg.11]

Consider random geometrical points, i.e., points with uncorrelated positions, distributed uniformly in a D-dimensional Euclidean space, with a density of N points per unit volume. A point is said to be the n-th neighbour of another (the reference point) if there are exactly n — 1 other points that are closer to the latter than the former. The quantity to be determined is the mean distance between any point and its n-th neighbour,... [Pg.299]

A fractal approach [11] instead of a geometric one [8] has been used by us for functional determination of the volumetric part (p of the interface layer. In accordance with this fractal approach we suppose that propagating grains or clusters of solid polymeric phase are characterized by their fractal structure, the dimensionality of which generally does not coincide with the dimensionality of the Euclidean space. For example, the volume... [Pg.174]

Constraints (4.9a,b) determine a convex domain of the 4-dimensional Euclidean space [6], within which all points with integer coordinates correspond to admissible valence states of the octet chemistry their total number is equal to 136. A geometrical interpretation of the valence states of atoms is shown in the following figure. [Pg.79]


See other pages where Euclidean geometric dimensionality is mentioned: [Pg.317]    [Pg.317]    [Pg.136]    [Pg.127]    [Pg.390]    [Pg.313]    [Pg.189]    [Pg.287]    [Pg.137]    [Pg.313]    [Pg.16]    [Pg.145]    [Pg.150]    [Pg.308]    [Pg.69]    [Pg.80]    [Pg.25]    [Pg.126]    [Pg.250]    [Pg.227]    [Pg.273]    [Pg.92]    [Pg.364]    [Pg.723]    [Pg.723]    [Pg.76]    [Pg.76]    [Pg.36]   
See also in sourсe #XX -- [ Pg.317 ]




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Euclidean

Euclidean dimensionality

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