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Titlebook: Applications of Functional Analysis in Engineering; J. L. Nowinski Book 1981 Springer Science+Business Media New York 1981 Finite.Hilbert

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發(fā)表于 2025-3-21 17:08:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applications of Functional Analysis in Engineering
影響因子2023J. L. Nowinski
視頻videohttp://file.papertrans.cn/160/159437/159437.mp4
學(xué)科分類Mathematical Concepts and Methods in Science and Engineering
圖書(shū)封面Titlebook: Applications of Functional Analysis in Engineering;  J. L. Nowinski Book 1981 Springer Science+Business Media New York 1981 Finite.Hilbert
影響因子Functional analysis owes its OrIgms to the discovery of certain striking analogies between apparently distinct disciplines of mathematics such as analysis, algebra, and geometry. At the turn of the nineteenth century, a number of observations, made sporadically over the preceding years, began to inspire systematic investigations into the common features of these three disciplines, which have developed rather independently of each other for so long. It was found that many concepts of this triad-analysis, algebra, geometry-could be incorporated into a single, but considerably more abstract, new discipline which came to be called functional analysis. In this way, many aspects of analysis and algebra acquired unexpected and pro- found geometric meaning, while geometric methods inspired new lines of approach in analysis and algebra. A first significant step toward the unification and generalization of algebra, analysis, and geometry was taken by Hilbert in 1906, who studied the collection, later called 1 , composed of infinite sequences x = Xb X 2, ... , 2 X , ... , of numbers satisfying the condition that the sum Ik"= 1 X 2 converges. k k The collection 12 became a prototype of the cla
Pindex Book 1981
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Linear Independence. Vector Components. Space Dimension,n, however, did not explicitly enter into our axiomatics and has been so far devoid of any specific meaning. In order to correct this omission, it is necessary to adjoin a new postulate to those already adopted. Before doing this in the next chapter, we have first to examine the closely related conc
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Euclidean Spaces of Many Dimensions,aximal number of linearly independent vectors was characteristic of those sets which could be identified pictorially with either a line, plane, or the entire space. Such a close association between the number of base vectors and the dimension of a space proves to be so fundamental that the generaliz
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Function Space,bstract space element—at this stage we choose to change our approach and concentrate on the particular class of abstract spaces known as function spaces. A . is an abstract space, the elements of which are functions or sets of functions defined in an appropriate domain.
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Bounds and Inequalities, is both theoretically defensible and practically unavoidable. This fact, however, does not absolve us from the obligation of estimating the error of the approximation solution, either by a direct computation or, more often, by finding the so-called .. In this chapter, we devote our attention to the
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The Method of the Hypercircle,ranslates the analytical content of a problem into the language of function space, thereafter studying the problem in geometric terms. Although the fundamental relations of the method turn out to follow almost directly from the Cauchy-Schwarz and Bessel inequalities, the remarkable pictorial merits
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