Oxford Mathematicians Dominic Vella and Finn Box together with colleague Alfonso Castrejón-Pita from Engineering Science in Oxford and Maxime Inizan from MIT have won the annual video competition run by the UK Fluids Network. Here they describe their work and the film.

"We have been studying the wrinkling patterns formed by very thin elastic sheets floating on liquid interfaces to better understand the geometry and mechanics at play. However, to date most interest has focussed on the static properties of these wrinkle patterns: what happens when you gently poke the skin of custard? Here we explore how things change when we are less careful and drop a sphere onto such a film. This shows that the dynamics of this process are different both to normal static wrinkling and to what happens when a stone is dropped into a pond."

We are delighted to announce that Rama Cont has been appointed to the Professorship of Mathematical Finance in the Mathematical Institute here in Oxford. Currently Professor of Mathematics and Chair in Mathematical Finance at Imperial College London, Rama Cont held teaching and research positions at Ecole Polytechnique (France), Columbia University (New York) and Université Pierre & Marie Curie (Paris VI). His research focuses on stochastic analysis, stochastic processes and mathematical modeling in finance, in particular the modeling of extreme market risks.

Professor Cont will take up the post with effect from 1 July 2018.

Oxford Mathematician Ali El Kaafarani explains how mathematics is tackling the issue of post-quantum digital security.

"Quantum computers are on their way to us, not from a galaxy far far away; they are literally right across the road from us in the Physics Department of Oxford University.

All cryptosystems currently used to provide confidentiality/authenticity/privacy rely on the hardness of number-theoretic assumptions, i.e., the integer factorization or discrete logarithm problems. And all was good until a well-known quantum attack, Shor’s algorithm, proved that both these problems can be solved efficiently; this means that once a scalable fault-tolerant quantum computer comes to life, our current cryptosystems become obsolete, and online transactions are deemed completely unsafe.

Cryptographers are currently preparing for that world, which they refer to as the "post-quantum era." Here in Oxford Mathematics, and in collaboration with TU Darmstadt and the University of Tokyo, we are developing post-quantum secure cryptosystems that mainly focus on enhancing and protecting the user's privacy.

At the heart of those cryptosystems is the so-called notion of anonymous digital signatures, which are an authentication method that reveals only the necessary information about the signer, be it a client at a pharmacy who doesn’t want to reveal why he/she doesn’t pay for prescriptions or a machine that wants to prove that it has the right system configuration while communicating with other machines without revealing any further details about itself ; or Internet users who want to stay anonymous while reviewing/rating products.

Those cryptosystems are based on lattices^{1 }which are known to be the most promising quantum-resistant alternative to the number theoretic assumptions in use today. Lattices, those beautiful mathematical objects have come to save the day; they are rich with various sorts of computationally hard problems, namely, worst-case problems (e.g. Shortest Vector Problem), average-case problems (e.g. Short Integer Solution (SIS)^{2}, Learning With Errors (LWE)^{3 }), and most importantly, the relationship between them. Such complexity is what we will need in the future."

An $n$ -dimensional lattice is a (full-rank) discrete additive subgroup of $\mathbb{R}^n$ .

The $\mathsf{SIS}_{n,q,\beta,m}$ problem: given a uniformly random matrix $\textbf{A}\in\mathbb{Z}_q^{n\times m}$ , find a non-zero vector $\textbf{z}\in\mathbb{Z}^m$ of norm bounded by $\beta$ such that $\textbf{A} \textbf{z} = \textbf{0} \in \mathbb{Z}_q^n$ .

At a high level, given a set of "noisy/approximate" linear equations in (a secret) $s\in\mathbb{Z}_q^n$ , the (search) $\mathsf{LWE}$ problem asks to recover $s$.

Global information analytics business Elsevier is donating £1 million to Oxford Mathematics, in support of fellowships, research meetings and workshops.

Oxford Mathematics is widely recognised as one of the foremost centres for the subject globally; its strength and reputation has never been greater. Now, thanks to Elsevier’s generosity, five outstanding early career researchers will be supported by internationally competitive three-year fellowships. Fellows will hold the prestigious title of Hooke or Titchmarsh Fellow; Hooke and Titchmarsh are distinguished figures in the diverse history of Oxford and global mathematics.

During their time at Oxford, fellows will undertake research, develop their experience of teaching in a university environment, and work alongside academics at the forefront of the most profound advances in mathematics. By the end of their fellowships, post-holders will be independent researchers of international standing.

‘We are extremely grateful to Elsevier for this important support for Oxford Mathematics,’ says Professor Martin Bridson, Head of the Mathematical Institute. ‘Postdoctoral fellowships provide vital opportunities to researchers embarking on academic careers. Thanks to this new collaboration, five outstanding early career mathematicians will be supported as they join the institute and pursue some of the most exciting questions in mathematics.’

Finding funding in the current higher education landscape can be extremely challenging for early career researchers. Without support, many individuals struggle to establish an academic career following the end of their doctoral studies. The Mathematical Institute’s Hooke and Titchmarsh Fellowship programme, expanded by virtue of this gift, addresses this need.

Elsevier’s donation will also support a series of high-profile research meetings and workshops at the Mathematical Institute. Spread over the course of five years, the meetings will bring researchers from other UK and international institutions to Oxford in order to engage on topics ranging from data science to fundamental problems in geometry and number theory.

Professor Louise Richardson, Vice-Chancellor of the University of Oxford says: ‘I am delighted that Elsevier has chosen to work with the University’s Mathematical Institute to support our outstanding early career researchers. This initiative will not only benefit researchers here in Oxford but also the international mathematical research community. We are deeply grateful to Elsevier for their generosity.’

Ron Mobed, Elsevier Chief Executive Officer says: ‘The University of Oxford’s commitment to excellence in research, development of young and emerging talent and creating new ways of academic collaboration are very much aligned with Elsevier’s mission. It represents the future of how science should be applied to have a transformative impact on society. Research in mathematics specifically is vital to the exploration of new technologies, innovation, data science and analytics – areas in which we are investing ourselves to make research information more useful.’

Oxford Mathematician Yuuji Tanaka describes his part in the advances in our understanding of gauge theory.

"Gauge theory originated in physics, emerging as a unified theory of weak interaction such as appears in beta decay and electro-magnetism via the framework of Yang-Mills gauge theory together with the "Higgs mechanism" which wonderfully attaches mass to matters and forces. It became a mainstream of particle physics after the great discovery of the renormalisable property by Veltman and 't Hooft, and it gives precise descriptions of the experiments. Nowadays all fundamental interactions (electro-magnetism, weak force, strong force, gravity) can be described by gauge theory.

These development certainly stimulated the mathematical studies of gauge fields, particularly in the field of principal or vector bundles. In this context, the curvature of a connection corresponds to the field strength of a gauge field. In the early 80s Donaldson looked into the moduli space of solutions to a certain type of Yang-Mills gauge field (called self-dual or anti-self-dual connections), and produced surprising ways to distinguish differential structures of 4-dimensional curved spaces with the same topology type by using the moduli space or by defining invariants of smooth structures through the moduli space.

After Donaldson's work, Witten skilfully reinterpreted it in terms of a certain quantum field theory. Subsequently Atiyah and Jeffrey mathematically reformulated Witten's work by using the Mathai-Quillen formalism. These exchanges of ideas were one of the stepping stones which led to the discovery of the Seiberg-Witten equations and their invariants around 1994 through a generalisation of the electro-magnetic duality, a hidden symmetry in the theory of electro-magnetism. Seiberg and Witten presented a striking application of this on a super Yang-Mills theory in the quantum level, called strong-weak duality, which enables one to calculate things in the strong coupling region of the theory in terms of ones in the weak coupling region.

Vafa and Witten further analysed Seiberg and Witten's work in a more symmetric model, and conjectured that the partition function of the invariants in this case would have a modular property, which is a mathematical enhancement of the strong-weak duality mentioned above and originally discovered in the theory of elliptic curves in the 19th century. They examined this property in examples by using results from mathematics under the assumption that the Higgs fields automatically vanish.

However, even a mathematically rigorous definition of this, especially including Higgs fields, was not produced for over 20 years. Richard Thomas and myself recently defined deformation invariants of projective surfaces, from the moduli space of solutions to the gauge-theoretic equations of the Vafa and Witten theory, by using modern techniques in algebraic geometry. We then computed partition functions of the invariants coming from non-vanishing Higgs fields as well. Surprisingly, our calculations match the conjecture by Vafa and Witten more than two decades ago despite ours also including sheaves on the surface."

The Abel Prize is the most prestigious prize in Mathematics. Each year, in anticipation of the prize announcement, an afternnon of lectues showcases previous winners and member of the Committee. This year the event will be held in Oxford on Monday 15th January. Andrew Wiles, John Rognes and Irene Fonseca will be the speakers. Full details below. Everyone welcome. No need to register.

Timetable:

1.00pm: Introductory Remarks by Camilla Serck-Hanssen, the Vice President of the Norwegian Academy of Science and Letters

1.10pm - 2.10pm: Andrew Wiles

2.10pm - 2.30pm: Break

2.30pm - 3.30pm: Irene Fonseca

3.30pm - 4.00pm: Tea and Coffee

4.00pm - 5.00pm: John Rognes

Abstracts:

Andrew Wiles: Points on elliptic curves, problems and progress

This will be a survey of the problems concerned with counting points on elliptic curves.

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Irene Fonseca: Mathematical Analysis of Novel Advanced Materials

Quantum dots are man-made nanocrystals of semiconducting materials. Their formation and assembly patterns play a central role in nanotechnology, and in particular in the optoelectronic properties of semiconductors. Changing the dots' size and shape gives rise to many applications that permeate our daily lives, such as the new Samsung QLED TV monitor that uses quantum dots to turn "light into perfect color"!

Quantum dots are obtained via the deposition of a crystalline overlayer (epitaxial film) on a crystalline substrate. When the thickness of the film reaches a critical value, the profile of the film becomes corrugated and islands (quantum dots) form. As the creation of quantum dots evolves with time, materials defects appear. Their modeling is of great interest in materials science since material properties, including rigidity and conductivity, can be strongly influenced by the presence of defects such as dislocations.

In this talk we will use methods from the calculus of variations and partial differential equations to model and mathematically analyze the onset of quantum dots, the regularity and evolution of their shapes, and the nucleation and motion of dislocations.

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John Rognes: Symmetries of Manifolds

To describe the possible rotations of a ball of ice, three real numbers suffice. If the ice melts, infinitely many numbers are needed to describe the possible motions of the resulting ball of water. We discuss the shape of the resulting spaces of continuous, piecewise-linear or differentiable symmetries of spheres, balls and higher-dimensional manifolds. In the high-dimensional cases the answer turns out to involve surgery theory and algebraic K-theory.

Oxford Mathematician Sir John Ball FRS has been awarded the King Faisal Prize for Science. Launched by the King Faisal Foundation (KFF) and granted for the first time in 1979, the King Faisal Prize recognises the outstanding works of individuals and institutions in five major categories: Service to Islam, Islamic Studies, Arabic Language and Literature, Medicine, and Science. Its aim is to benefit Muslims in their present and future, inspire them to participate in all aspects of civilisation, as well as enrich human knowledge and develop mankind.

Sir John Ball is Sedleian Professor of Natural Philosophy, Director of the Oxford Centre for Nonlinear Partial Differential Equations and Fellow of the Queen's College. John's main research areas lie in the calculus of variations, nonlinear partial differential equations, infinite-dimensional dynamical systems and their applications to nonlinear mechanics.

As recent breaches have demonstrated, security will be one of the major concerns of our digital futures. The collective intelligence of the mathematical community is critical to finding these flaws. A group of Oxford Mathematicians, both researchers and undergraduates, have done just that.

SecureRF is a corporation founded in 2004 specialising in security for Internet of Things (IoT), i.e. devices with low processing power that require ultra-low energy consumption, whose partners include the US Air Force. SecureRF has also collaborated with Intel to develop an implementation of WalnutDSA on secure field-programmable gate arrays. WalnutDSA (trademarked by SecureRF) is an example of a digital signature algorithm, a mathematical scheme for demonstrating the authenticity of digital messages (like a real signature, but digital). Walnut DSA uses high-level mathematical techniques from permutation groups, matrix groups and braid groups, and is designed to provide post-quantum security in lightweight IoT device contexts.

The Oxford Team attacked the algorithm by bypassing the E-Multiplication and cloaked conjugacy search problems at its heart, forging signatures for arbitrary messages in approximately two minutes. Thanks to this cryptanalysis, the scheme has now been modified accordingly and an upgrade that corrects the security risk submitted to the National Insititute of Standards and Technology (NIST) competition for Post Quantum Cryptography.

One of the most pertinent and inspiring parts of the story is that the exposure was the result of a collaboration between researchers Giacomo Micheli and Christophe Petit and undergraduates Daniel Hart, DoHoon Kim, Guillermo Pascual Perez and Yuxuan Quek - the work was one of the summer projects that Oxford Mathematics uses to develop and inspire its undergraduate mathematicians, giving them a taste of rigorous research.

A fuller explanation can be found here and will be presented at PKC 2018, the 21st edition of the International Conference on Practice and Theory of Public Key Cryptography.

Oxford Mathematician Sarah Waters has been awarded a Royal Society Leverhulme Trust Senior Research Fellowship commencing this month. Sarah is an applied mathematician here in Oxford. Her interest is in physiological fluid mechanics, tissue biomechanics and the application of mathematics to problems in medicine and biology. Her work varies from classical applied mathematics problems motivated by physiological applications to highly interdisciplinary work - she collaborates with life scientists, clinicians, bioengineers, theoreticians and experimentalists to develop and solve models that are novel, realistic and provide insights into biomedical problems. The resulting models often lead to theoretical predictions that can be exploited in the laboratory.

Modern science and technology generate data at an unprecedented rate. A major challenge is that this data is often complex, high dimensional and may include temporal and/or spatial information. The 'shape' of the data can be important but it is difficult to extract and quantify it using standard machine learning or statistical techniques. For example, an image of blood vessels near a tumour looks very different to an image of healthy blood vessels; statistics alone cannot quantify this difference. New shape analysis methods are required.

Thanks to funding from the Engineering and Physical Sciences Research Council (EPSRC), a newly created centre combining scientists in Oxford, Swansea and Liverpool will study the shape of data through the development of new mathematics and algorithms, and build on existing data science techniques in order to obtain and interpret the shape of data. A theoretical field of mathematics that enables the study of shapes is geometry and topology. The ability to quantify the shape of complicated objects is only possible with advanced mathematics and algorithms. The field known as topological data analysis (TDA), enables one to use methods of topology and geometry to study the shape of data. In particular, a method within TDA known as persistent homology provides a summary of the shape of the data (e.g. features such as holes) at multiple scales. A key success of persistent homology is the ability to provide robust results, even if the data are noisy. There are theoretical and computational challenges in the application of these algorithms to large scale, real-world data.

The aim of this centre is to build on current persistent homology tools, extending them theoretically, computationally, and adapting them for practical applications. The Oxford team led by Heather Harrington and Ulrike Tillmann together with Helen Byrne, Peter Grindrod and Gesine Reinert is composed of experts in pure and applied mathematics, computer scientists, and statisticians whose combined expertise covers cutting edge pure mathematics, mathematical modelling, algorithm design and data analysis. This core team will in turn work closely with collaborators in a range of scientific and industrial domains.