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Multiplier (Fourier analysis)

About: Multiplier (Fourier analysis) is a research topic. Over the lifetime, 3448 publications have been published within this topic receiving 51845 citations. The topic is also known as: multiplier operator & symbol.


Papers
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Journal ArticleDOI
Lars Hörmander1
TL;DR: In this paper, a more general class of pseudo-differential operators for non-elliptic problems is discussed. But their value is rather limited in genuinely nonelliptical problems.
Abstract: Pseudo-differential operators have been developed as a tool for the study of elliptic differential equations. Suitably extended versions are also applicable to hypoelliptic equations, but their value is rather limited in genuinely non-elliptic problems. In this paper we shall therefore discuss some more general classes of operators which are adapted to such applications. For these operators we shall develop a calculus which is almost as smooth as that of pseudo-differential operators. It also seems that one gains some more insight into the theory of pseudo-differential operators by considering them from the point of view of the wider classes of operators to be discussed here so we shall take the opportunity to include a short exposition.

2,450 citations

Journal ArticleDOI
TL;DR: The main purpose of this paper is to suggest a method for finding the minimum of a functionf(x) subject to the constraintg(x)=0, which consists of replacingf byF=f+λg+1/2cg2, and computing the appropriate value of the Lagrange multiplier.
Abstract: The main purpose of this paper is to suggest a method for finding the minimum of a functionf(x) subject to the constraintg(x)=0. The method consists of replacingf byF=f+λg+1/2cg 2, wherec is a suitably large constant, and computing the appropriate value of the Lagrange multiplier. Only the simplest algorithm is presented. The remaining part of the paper is devoted to a survey of known methods for finding unconstrained minima, with special emphasis on the various gradient techniques that are available. This includes Newton's method and the method of conjugate gradients.

2,282 citations

Book ChapterDOI
01 Jan 2014
TL;DR: In this paper, an extension of Lagrange's multiplier rule to the case where the subsidiary conditions are inequalities instead of equations is considered, where only extrema of differentiable functions of a finite number of variables will be considered.
Abstract: This paper deals with an extension of Lagrange’s multiplier rule to the case, where the subsidiary conditions are inequalities instead of equations Only extrema of differentiable functions of a finite number of variables will be considered There may however be an infinite number of inequalities prescribed Lagrange’s rule for the situation considered here differs from the ordinary one, in that the multipliers may always be assumed to be positive This makes it possible to obtain sufficient conditions for the occurence or a minimum in terms of the first derivatives only

1,063 citations

Book
01 Feb 1993
TL;DR: In this article, the half-wave operator and functions of pseudo-differential operators were used to estimate the eigenfunctions of the Lagrangian subspaces of T*IRn.
Abstract: Background 1. Stationary phase 2. Non-homogeneous oscillatory integral operators 3. Pseudo-differential operators 4. The half-wave operator and functions of pseudo-differential operators 5. Lp estimates of eigenfunctions 6. Fourier integral operators 7. Local smoothing of Fourier integral operators Appendix. Lagrangian subspaces of T*IRn.

620 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20224
2021143
2020161
2019172
2018159
2017162