Symplectic Fourier–Deligne Transforms on G/U and the Algebra of Braids and Ties (2024)

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Volume 2024 Issue 13 July 2024
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Calder Morton-Ferguson

Massachusetts Institute of Technology

, 77 Massachusetts Ave., Cambridge, MA 02141, USA

Correspondence to be sent to: e-mail: caldermf@mit.edu

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International Mathematics Research Notices, Volume 2024, Issue 13, July 2024, Pages 10219–10235, https://doi.org/10.1093/imrn/rnae052

Published:

11 April 2024

Article history

Received:

02 April 2023

Revision received:

25 November 2023

Accepted:

25 November 2023

Published:

11 April 2024

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Abstract

We explicitly identify the algebra generated by symplectic Fourier–Deligne transforms (i.e., convolution with Kazhdan–Laumon sheaves) acting on the Grothendieck group of perverse sheaves on the basic affine space |$G/U$|⁠, answering a question originally raised by A. Polishchuk. We show it is isomorphic to a distinguished subalgebra, studied by I. Marin, of the generalized algebra of braids and ties (defined in Type |$A$| by F. Aicardi and J. Juyumaya and generalized to all types by Marin), providing a connection between geometric representation theory and an algebra defined in the context of knot theory. Our geometric interpretation of this algebra entails some algebraic consequences: we obtain a short and type-independent geometric proof of the braid relations for Juyumaya’s generators of the Yokonuma–Hecke algebra (previously proved case-by-case in types |$A, D, E$| by Juyumaya and separately for types |$B, C, F_{4}, G_{2}$| by Juyumaya and S. S. Kannan), a natural candidate for an analogue of a Kazhdan–Lusztig basis, and finally an explicit formula for the dimension of Marin’s algebra in Type |$A_{n}$| (previously only known for |$n \leq 4$|⁠).

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FAQs

What is Fourier Transform of algebraic function? ›

In physics, engineering and mathematics, the Fourier transform (FT) is an integral transform that takes a function as input and outputs another function that describes the extent to which various frequencies are present in the original function. The output of the transform is a complex-valued function of frequency.

How do you find the Fourier transformation of a function? ›

Compute the Fourier transform of the signal, and create the vector f that corresponds to the signal's sampling in frequency space. y = fft(x); fs = 1/Ts; f = (0:length(y)-1)*fs/length(y); Plot the magnitude of the transformed signal as a function of frequency.

What does a Fourier transform tell you? ›

Fourier Transform is a mathematical model which helps to transform the signals between two different domains, such as transforming signal from frequency domain to time domain or vice versa. Fourier transform has many applications in Engineering and Physics, such as signal processing, RADAR, and so on.

What is the meaning of the Fourier transform equation? ›

The Fourier Transform is a mathematical technique that transforms a function of time, x(t), to a function of frequency, X(ω). It is closely related to the Fourier Series.

What is the Laplace transform of an algebraic function? ›

The Laplace transform of a function is represented by L{f(t)} or F(s). Laplace transform helps to solve the differential equations, where it reduces the differential equation into an algebraic problem.

What is the FFT math function? ›

In summary, Fast Fourier Transform (FFT) is a versatile and powerful mathematical algorithm used for transforming time-domain data into its frequency-domain representation.

What is the Fourier Series in linear algebra for functions? ›

Fourier series is like having a matrix with infinitely many orthogonal columns. Those columns are the basis functions 1, cosx, sin x,.... After dividing by their lengths we have an “infinite orthogonal matrix.” Its inverse is its transpose, QT.

What is the Fourier transform of sine function? ›

Fourier sine transforms: We have F s { f ( x ) } = F s ( w ) = ∫ 0 ∞ f ( x ) sin ⁡ w x d x and F s − 1 { F s ( w ) } = f ( x ) = 2 π ∫ 0 ∞ F s ( w ) sin ⁡ w x d w .

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