310,408 research outputs found

    A novel approach to fractional calculus: utilizing fractional integrals and derivatives of the Dirac delta function

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    While the definition of a fractional integral may be codified by Riemann and Liouville, an agreed-upon fractional derivative has eluded discovery for many years. This is likely a result of integral definitions including numerous constants of integration in their results. An elimination of constants of integration opens the door to an operator that reconciles all known fractional derivatives and shows surprising results in areas unobserved before, including the appearance of the Riemann Zeta Function and fractional Laplace and Fourier Transforms. A new class of functions, known as Zero Functions and closely related to the Dirac Delta Function, are necessary for one to perform elementary operations of functions without using constants. The operator also allows for a generalization of the Volterra integral equation, and provides a method of solving for Riemann's "complimentary" function introduced during his research on fractional derivatives

    New anisotropic models from isotropic solutions

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    We establish an algorithm that produces a new solution to the Einstein field equations, with an anisotropic matter distribution, from a given seed isotropic solution. The new solution is expressed in terms of integrals of known functions, and the integration can be completed in principle. The applicability of this technique is demonstrated by generating anisotropic isothermal spheres and anisotropic constant density Schwarzschild spheres. Both of these solutions are expressed in closed form in terms of elementary functions, and this facilitates physical analysis.Comment: 23 pages, To appear in Math. Meth. Appl. Sc

    Hyperfinite stochastic integration for LĂ©vy processes with finite-variation jump part

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    This article links the hyperfinite theory of stochastic integration with respect to certain hyperfinite LĂ©vy processes with the elementary theory of pathwise stochastic integration with respect to pure-jump LĂ©vy processes with finite-variation jump part. Since the hyperfinite ItĂ´ integral is also defined pathwise, these results show that hyperfinite stochastic integration provides a pathwise definition of the stochastic integral with respect to LĂ©vy jump-diffusions with finite-variation jump part. As an application, we provide a short and direct nonstandard proof of the generalized ItĂ´ formula for stochastic differentials of smooth functions of LĂ©vy jump-diffusions whose jumps are bounded from below in norm.LĂ©vy processes, stochastic integration, nonstandard analysis, ItĂ´ formula

    Composite structural motifs of binding sites for delineating biological functions of proteins

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    Most biological processes are described as a series of interactions between proteins and other molecules, and interactions are in turn described in terms of atomic structures. To annotate protein functions as sets of interaction states at atomic resolution, and thereby to better understand the relation between protein interactions and biological functions, we conducted exhaustive all-against-all atomic structure comparisons of all known binding sites for ligands including small molecules, proteins and nucleic acids, and identified recurring elementary motifs. By integrating the elementary motifs associated with each subunit, we defined composite motifs which represent context-dependent combinations of elementary motifs. It is demonstrated that function similarity can be better inferred from composite motif similarity compared to the similarity of protein sequences or of individual binding sites. By integrating the composite motifs associated with each protein function, we define meta-composite motifs each of which is regarded as a time-independent diagrammatic representation of a biological process. It is shown that meta-composite motifs provide richer annotations of biological processes than sequence clusters. The present results serve as a basis for bridging atomic structures to higher-order biological phenomena by classification and integration of binding site structures.Comment: 34 pages, 7 figure

    Elementary And Integral-elementary Functions

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    By an integral-elementary function we mean any real function that can be obtained from the constants, sin x, e(x), log x, and arcsin x (defined on (-1, 1)) using the basic algebraic operations, composition and integration. The rank of an integral-elementary function f is the depth of the formula defining f. The integral-elementary Functions of rank less than or equal to n are real-analytic and satisfy a common algebraic differential equation P-n(f, f',..., f((k))) = 0 with integer coefficients. We prove that every continuous function f: R --> R can be approximated uniformly by integral-elementary functions of bounded rank. Consequently, there exists an algebraic differential equation with integer coefficients such that its everywhere analytic solutions approximate every continuous function uniformly. This solves a problem posed by L. A. Rubel. Using the same basic functions as above, but allowing only the basic algebraic operations and compositions, we obtain the class of elementary functions. We show that every differentiable function with a derivative not exceeding an iterated exponential can be uniformly approximated by elementary functions of bounded rank. If we include the function arcsin x defined on [-1, 1], then the resulting class of naive-elementary functions will approximate every continuous function uniformly. We also show that every sequence can be uniformly approximated by elementary functions, and that every integer sequence can be represented in the form f(n), where f is naive-elementary
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