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31—40 of 103 matching pages
31: 21.7 Riemann Surfaces
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►Equation (21.7.1) determines a plane algebraic curve in , which is made compact by adding its points at infinity.
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►On this surface, we choose
cycles (that is, closed oriented curves, each with at most a finite number of singular points) , , , such that their intersection indices satisfy
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32: 28.7 Analytic Continuation of Eigenvalues
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►The only singularities are algebraic branch points, with and finite at these points.
…To 4D the first branch points between and are at
with , and between and they are at
with .
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33: 2.8 Differential Equations with a Parameter
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►The form of the asymptotic expansion depends on the nature of the transition points in , that is, points at which has a zero or singularity.
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►The transformation is now specialized in such a way that: (a) and are analytic functions of each other at the transition point (if any); (b) the approximating differential equation obtained by neglecting (or part of ) has solutions that are functions of a single variable.
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34: 26.12 Plane Partitions
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►It is useful to be able to visualize a plane partition as a pile of blocks, one block at each lattice point
.
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35: 1.6 Vectors and Vector-Valued Functions
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►A surface is smooth if it is smooth at every point.
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►A surface is orientable if a continuously varying normal can be defined at all points of the surface.
…A parametrization of an oriented surface is orientation preserving if has the same direction as the chosen normal at each point of , otherwise it is orientation reversing.
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36: 1.18 Linear Second Order Differential Operators and Eigenfunction Expansions
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►For this latter see Simon (1973), and Reinhardt (1982); wherein advantage is taken of the fact that although branch points are actual singularities of an analytic function, the location of the branch cuts are often at our disposal, as they are not singularities of the function, but simply arbitrary lines to keep a function single valued, and thus only singularities of a specific representation of that analytic function.
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►What then is the condition on to insure the existence of at least a single eigenvalue in the point spectrum? The discussions of §1.18(vi) imply that if then there is only a continuous spectrum.
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►In unusual cases , even for all , such as in the case of the Schrödinger–Coulomb problem () discussed in §18.39 and §33.14, where the point spectrum actually accumulates at the onset of the continuum at
, implying an essential singularity, as well as a branch point, in matrix elements of the resolvent, (1.18.66).
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37: 29.2 Differential Equations
38: 3.11 Approximation Techniques
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►A sufficient condition for to be the minimax polynomial is that attains its maximum at
distinct points in and changes sign at these consecutive maxima.
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►Given distinct points
in the real interval , with ()(), on each subinterval , , a low-degree polynomial is defined with coefficients determined by, for example, values and of a function and its derivative at the nodes and .
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39: 16.2 Definition and Analytic Properties
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►Elsewhere the generalized hypergeometric function is a multivalued function that is analytic except for possible branch points at
, and .
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40: 15.2 Definitions and Analytical Properties
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►As a multivalued function of , is analytic everywhere except for possible branch points at
, , and .
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