Workshop "Singularities and Applications, Victor Goryunov 60"

Lead Research Organisation: University of Liverpool
Department Name: Mathematical Sciences

Abstract

Victor Goryunov is a leading figure in Singularity Theory, whose contributions to the subject are fundamental. He has published several books and a vast variety of papers in singularity theory, Vassiliev type invariants, and Legendrian knots. Many of his papers in Lagrange and Legendiran geometry are now considered to be classical in the subject. In particular he has developed stability theory of maps between Lagrangian and Legendrian varieties and studied local properties of their singularities. In addition Victor Goryunov has worked on complex crystallographic groups, and he has calculated Tjurina and Milnor numbers of matrix singularities. Victor Goryunov's great enthusiasm, his amiability and his belief in scientific progress have helped to maintain a strong research network of mathematicians all over the world. Originally from Arnol'd's school in Moscow, he has worked in Russia, Denmark, US and UK. He is an active collaborator with former Soviet Union mathematicians and those from the West. Victor Goryunov was among the principal organizers of a semester program in the Newton Institute on singularity theory. He has been an organizer of many international conferences. For many years he has been a principal organizer of 'Singularity Days' joining researchers of Liverpool, Warwick, and Valencia (funded by LMS).

The proposed workshop in singularity theory and its applications will attract major figures from, at least, Europe including Scandinavia and Israel, North and South America, Russia and Japan.

Planned Impact

The immediate impact of a workshop of this kind will certainly be academic impact, that is the dissemination of new ideas through lectures, informal discussions and a rapidly produced follow-up document giving background and promising directions for progress, including explicit problems (this to have wide circulation among the international community).

Two members of the SINGULAR team from Kaiserslauten have agreed to present recent developments in the software; this will give participants an opportunity to find out what the software can do for them, and of course especially to talk to the team members about their own computational needs.

This kind of impact is hard to measure precisely; however we will ask participants to acknowledge the workshop as appropriate in future publications, especially when the workshop resulted in a new collaboration, besides contributing to the document mentioned above.

Here is an outline of the external impact of singularity theory in various disciplines. The main goal of many problems of singularity theory is to understand the dependence on parameters of certain structures from analysis, geometry, physics, or from some other science. Thus singularity theory has influenced the development of many areas of mathematics and physics: it has a direct impact within other scientific disciplines. There are many examples; here are a few which are relevant to the material of the workshop.

Singularity theory connects the investigation of optical caustics with simple Lie algebras and regular polyhedral theory, while also relating hyperbolic PDE wavefronts to knot theory and the theory of the shape of solids to commutative algebra.

One of the most famous modern applications of singularity theory was the introduction by Vassiliev of finite type invariants in knot theory. Further investigations led to many other topological applications of his ideas.

Frobenius manifolds, the basics of which were introduced by Saito and which are finding nowadays numerous applications in theoretical physics.

Singularities of distance functions (in various geometries) have led to a whole area of application to computer vision, via medial and skeletal structures, and through reconstruction of scenes from images by moving cameras. The singularities of linkage configurations have application to robotics. Recent developments include stochastic geometry and bio imaging, space-time modeling and statistical methods within bioinformatics.

There is a significant input from singularity theory to contemporary control theory, and thereby into areas where control theory is used such as mathematical economics. This includes the complete local classifications of generic second order linear PDEs on the plane and generic singularities of slow motion of relaxation type equations with one fast and two slow variables; classification of generic relative minima singularities for low dimensional parameters; and results on the structural stability of both local and non-local controllability of generic control systems on orientable two-dimensional manifolds.

Configuration spaces of tensegrities are considered as particular example of stratified spaces arising in singularity theory. Currently there are various applications of the theory of tesegrities in art and free-form structure buildings (e.g. in 2015 a tree-like tensegrity sculpture, or "TensegriTree" was erected in the out-door teaching area on the University of Kent Campus).

Publications

10 25 50
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Blackman J (2023) Multidimensional integer trigonometry in Communications in Mathematics

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Boiko T (2018) On Periodic Asymmetric Extrapolation in Mathematical Notes

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Karpenkov O (2020) The Combinatorial Geometry of Stresses in Frameworks in Discrete & Computational Geometry

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Karpenkov O (2020) Generalised Markov numbers in Journal of Number Theory

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Karpenkov O (2019) Generalized Perron Identity for broken lines in Journal de Théorie des Nombres de Bordeaux

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Karpenkov O (2022) Equilibrium stressability of multidimensional frameworks in European Journal of Mathematics

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Karpenkov O (2018) Open Problems on Configuration Spaces of Tensegrities in Arnold Mathematical Journal

 
Description The conference was extremely fruitful in general. It gave opportunity to collaborate for various researchers all over the world, that otherwise would not be possible. This academic year we have visitors: Prof Gussein-Zade and Prof. Shapiro, who were the participants of the conference, and they continue to interact with the researchers of our department.

There is a recent Impact Case generated by our department on Pseudoperiodic extrapolation (implimented in MediaMarkt Saturn company in Russia), that was partially discussed during the conference.

There is no doubt that there are various papers written after the discussions with the colleagues in Liverpool. I have completed a couple of papers on geometry of numbers and rigidity theory.
Exploitation Route The research papers and algorithms are published. They may make a basis for further investigatoins. The above impact case might be used for another companies.
Sectors Education,Other

 
Description Together with Bulat Rakhimberdiev, an employee of CheckMobile GmbH, we have an ongoing development of a forecasting algorithm for recurrent patterns in consumer demand. This includes sampling, periodic approximation, denoising and forecasting. The algorithm was in use in the Russian branch of the MediaMarkt company (estimated benefit is £500K per month). MediaMarkt is a German multinational chain of stores selling consumer electronics with numerous branches throughout Europe and Asia. It is Europe's largest retailer of consumer electronics. In the framework of this research There were several visits of Tetiana Boiko and Oleg Karpenkov to both MediaMarkt and CheckMobile GmbH companies. Specialists of the CheckMobile GmbH were visiting University of Liverpool in May 2018. This research was successfully supported last year by the HEIF Impact Acceleration Grant. The implementation of the impact is based on new techniques for asymmetric approximation of discrete functions originated in seasonal customer demand extrapolation. We adapt the techniques for two different settings: pull and push models. We have found effectively the loss minimizing extrapolations. For both models we were involved in the study of several features concerning sampling, approximation, and extrapolation. The research paper "On periodic asummetric extrapolation" regarding this algorithm was published in 2018 in Mat. Notes (vol. 104, no.5, pages 642-654). As MediaMarkt company has left the Russian market in 2018 the Impact case was finalized. The final estimate of the company benefits of the algorithm is approximately 10M pounds.
First Year Of Impact 2016
Impact Types Economic