@unpublished{63510,
  abstract     = {{It has been shown recently that optimal control problems with the dynamical constraint given by a second order system admit a regular Lagrangian formulation. This implies that the optimality conditions can be obtained in a new form based on the variational approach. In this paper we extend the first order necessary optimality conditions obtained previously to second order optimality conditions. This results in a complete characterization of the optimality conditions in a new Lagrangian form.}},
  author       = {{Konopik, Michael and Leyendecker, Sigrid and Maslovskaya, Sofya and Sina Ober-Blöbaum, Sina Ober-Blöbaum and Almagro, Rodrigo T. Sato Martín de}},
  booktitle    = {{arXiv:2507.06024}},
  title        = {{{Second order optimality conditions in a new Lagrangian formulation for optimal control problems}}},
  year         = {{2025}},
}

@article{59797,
  author       = {{Konopik, Michael and T. Sato Martín de Almagro, Rodrigo and Maslovskaya, Sofya and Ober-Blöbaum, Sina and Leyendecker, Sigrid}},
  journal      = {{Journal of Nonlinear Science}},
  number       = {{11}},
  title        = {{{Variational integrators for a new Lagrangian approach to control affine systems with a quadratic Lagrange term}}},
  doi          = {{10.1007/s00332-025-10229-5}},
  volume       = {{36}},
  year         = {{2025}},
}

@article{59799,
  author       = {{Konopik, Michael and Leyendecker, Sigrid and Maslovskaya, Sofya and Ober-Blöbaum, Sina and T. Sato Martín de Almagro, Rodrigo}},
  journal      = {{Nonlinearity}},
  number       = {{11}},
  title        = {{{A new Lagrangian approach to optimal control of second-order systems}}},
  doi          = {{10.1088/1361-6544/ae1d08}},
  volume       = {{38}},
  year         = {{2025}},
}

@inproceedings{56298,
  abstract     = {{In the general pattern formation (GPF) problem, a swarm of simple autonomous,
disoriented robots must form a given pattern. The robots' simplicity imply a
strong limitation: When the initial configuration is rotationally symmetric,
only patterns with a similar symmetry can be formed [Yamashita, Suzyuki; TCS
2010]. The only known algorithm to form large patterns with limited visibility
and without memory requires the robots to start in a near-gathering (a swarm of
constant diameter) [Hahn et al.; SAND 2024]. However, not only do we not know
any near-gathering algorithm guaranteed to preserve symmetry but most natural
gathering strategies trivially increase symmetries [Castenow et al.; OPODIS
2022].
  Thus, we study near-gathering without changing the swarm's rotational
symmetry for disoriented, oblivious robots with limited visibility (the
OBLOT-model, see [Flocchini et al.; 2019]). We introduce a technique based on
the theory of dynamical systems to analyze how a given algorithm affects
symmetry and provide sufficient conditions for symmetry preservation. Until
now, it was unknown whether the considered OBLOT-model allows for any
non-trivial algorithm that always preserves symmetry. Our first result shows
that a variant of Go-to-the-Average always preserves symmetry but may sometimes
lead to multiple, unconnected near-gathering clusters. Our second result is a
symmetry-preserving near-gathering algorithm that works on swarms with a convex
boundary (the outer boundary of the unit disc graph) and without holes (circles
of diameter 1 inside the boundary without any robots).}},
  author       = {{Gerlach, Raphael and von der Gracht, Sören and Hahn, Christopher and Harbig, Jonas and Kling, Peter}},
  booktitle    = {{28th International Conference on Principles of Distributed Systems (OPODIS 2024)}},
  editor       = {{Bonomi, Silvia and Galletta, Letterio and Rivière,  Etienne and Schiavoni,  Valerio}},
  isbn         = {{978-3-95977-360-7}},
  issn         = {{1868-8969}},
  keywords     = {{Swarm Algorithm, Swarm Robots, Distributed Algorithm, Pattern Formation, Limited Visibility, Oblivious}},
  location     = {{Lucca, Italy}},
  publisher    = {{Schloss Dagstuhl -- Leibniz-Zentrum für Informatik}},
  title        = {{{Symmetry Preservation in Swarms of Oblivious Robots with Limited  Visibility}}},
  doi          = {{10.4230/LIPIcs.OPODIS.2024.13}},
  volume       = {{324}},
  year         = {{2025}},
}

@article{58532,
  author       = {{Bullerjahn, Nils}},
  journal      = {{arXiv}},
  title        = {{{Error estimates for full discretization by an almost mass conservation technique for Cahn--Hilliard systems with dynamic boundary conditions}}},
  doi          = {{10.48550/ARXIV.2502.03847}},
  year         = {{2025}},
}

@unpublished{58544,
  abstract     = {{We introduce a new classification of multimode states with a fixed number of photons. This classification is based on the factorizability of homogeneous multivariate polynomials and is invariant under unitary transformations. The classes physically correspond to field excitations in terms of single and multiple photons, each of which being in an arbitrary irreducible superposition of quantized modes. We further show how the transitions between classes are rendered possible by photon addition, photon subtraction, and photon-projection nonlinearities. We explicitly put forward a design for a multilayer interferometer in which the states for different classes can be generated with state-of-the-art experimental techniques. Limitations of the proposed designs are analyzed using the introduced classification, providing a benchmark for the robustness of certain states and classes. }},
  author       = {{Kopylov, Denis and Offen, Christian and Ares, Laura and Wembe Moafo, Boris Edgar and Ober-Blöbaum, Sina and Meier, Torsten and Sharapova, Polina and Sperling, Jan}},
  title        = {{{Multiphoton, multimode state classification for nonlinear optical circuits }}},
  year         = {{2025}},
}

@unpublished{58953,
  abstract     = {{In this article, we investigate symmetry properties of distributed systems of mobile robots. We consider a swarm of n robots in the OBLOT model and analyze their collective Fsync dynamics using of equivariant dynamical systems theory. To this end, we show that the corresponding evolution function commutes with rotational and reflective transformations of R^2. These form a group that is isomorphic to O(2) x S_n, the product group of the orthogonal group and the permutation on n elements. The theory of equivariant dynamical systems is used to deduce a hierarchy along which symmetries of a robot swarm can potentially increase following an arbitrary protocol. By decoupling the Look phase from the Compute and Move phases in the mathematical description of an LCM cycle, this hierarchy can be characterized in terms of automorphisms of connectivity graphs. In particular, we find all possible types of symmetry increase, if the decoupled Compute and Move phase is invertible. Finally, we apply our results to protocols which induce state-dependent linear dynamics, where the reduced system consisting of only the Compute and Move phase is linear.}},
  author       = {{Gerlach, Raphael and von der Gracht, Sören}},
  booktitle    = {{arXiv:2503.07576}},
  keywords     = {{dynamical systems, coupled systems, distributed computing, robot swarms, autonomous mobile robots, symmetry, equivariant dynamics}},
  pages        = {{23}},
  title        = {{{Analyzing Symmetries of Swarms of Mobile Robots Using Equivariant  Dynamical Systems}}},
  year         = {{2025}},
}

@article{59169,
  abstract     = {{An r-regular graph is an r-graph, if every odd set of vertices is connected to its complement by at least r edges. Let G and H be r-graphs. An H-coloring of G is a mapping such that each r adjacent edges of G are mapped to r adjacent edges of H. For every , let be an inclusion-wise minimal set of connected r-graphs, such that for every connected r-graph G there is an which colors G. The Petersen Coloring Conjecture states that consists of the Petersen graph P. We show that if true, then this is a very exclusive situation. Our main result is that either or is an infinite set and if , then is an infinite set. In particular, for all , is unique. We first characterize and then prove that if contains more than one element, then it is an infinite set. To obtain our main result we show that contains the smallest r-graphs of class 2 and the smallest poorly matchable r-graphs, and we determine the smallest r-graphs of class 2.}},
  author       = {{Ma, Yulai and Mattiolo, Davide and Steffen, Eckhard and Wolf, Isaak H.}},
  issn         = {{0209-9683}},
  journal      = {{Combinatorica}},
  number       = {{2}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Sets of r-Graphs that Color All r-Graphs}}},
  doi          = {{10.1007/s00493-025-00144-4}},
  volume       = {{45}},
  year         = {{2025}},
}

@article{53805,
  abstract     = {{The article introduces a method to learn dynamical systems that are governed by Euler–Lagrange equations from data. The method is based on Gaussian process regression and identifies continuous or discrete Lagrangians and is, therefore, structure preserving by design. A rigorous proof of convergence as the distance between observation data points converges to zero and lower bounds for convergence rates are provided. Next to convergence guarantees, the method allows for quantification of model uncertainty, which can provide a basis of adaptive sampling techniques. We provide efficient uncertainty quantification of any observable that is linear in the Lagrangian, including of Hamiltonian functions (energy) and symplectic structures, which is of interest in the context of system identification. The article overcomes major practical and theoretical difficulties related to the ill-posedness of the identification task of (discrete) Lagrangians through a careful design of geometric regularisation strategies and through an exploit of a relation to convex minimisation problems in reproducing kernel Hilbert spaces.}},
  author       = {{Offen, Christian}},
  journal      = {{Mathematics of Computation}},
  publisher    = {{American Mathematical Society}},
  title        = {{{Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification}}},
  doi          = {{10.1090/mcom/4120}},
  year         = {{2025}},
}

@article{61042,
  abstract     = {{We introduce the concept of a k-token signed graph and study some of its combinatorial and algebraic properties. We prove that two switching isomorphic signed graphs have switching isomorphic token graphs. Moreover, we show that the Laplacian spectrum of a balanced signed graph is contained in the Laplacian spectra of its k-token signed graph. Besides, we introduce and study the unbalance level of a signed graph, which is a new parameter that measures how far a signed graph is from being balanced. Moreover, we study the relation between the frustration index and the unbalance level of signed graphs and their token signed graphs.}},
  author       = {{Dalfó, C. and Fiol, M. A. and Steffen, Eckhard}},
  issn         = {{0925-9899}},
  journal      = {{Journal of Algebraic Combinatorics}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{On token signed graphs}}},
  doi          = {{10.1007/s10801-025-01416-4}},
  volume       = {{62}},
  year         = {{2025}},
}

@article{51208,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Approximation of subdifferentials is one of the main tasks when computing descent directions for nonsmooth optimization problems. In this article, we propose a bisection method for weakly lower semismooth functions which is able to compute new subgradients that improve a given approximation in case a direction with insufficient descent was computed. Combined with a recently proposed deterministic gradient sampling approach, this yields a deterministic and provably convergent way to approximate subdifferentials for computing descent directions.</jats:p>}},
  author       = {{Gebken, Bennet}},
  issn         = {{0926-6003}},
  journal      = {{Computational Optimization and Applications}},
  keywords     = {{Applied Mathematics, Computational Mathematics, Control and Optimization}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A note on the convergence of deterministic gradient sampling in nonsmooth optimization}}},
  doi          = {{10.1007/s10589-024-00552-0}},
  year         = {{2024}},
}

@article{46019,
  abstract     = {{We derive efficient algorithms to compute weakly Pareto optimal solutions for smooth, convex and unconstrained multiobjective optimization problems in general Hilbert spaces. To this end, we define a novel inertial gradient-like dynamical system in the multiobjective setting, which trajectories converge weakly to Pareto optimal solutions. Discretization of this system yields an inertial multiobjective algorithm which generates sequences that converge weakly to Pareto optimal solutions. We employ Nesterov acceleration to define an algorithm with an improved convergence rate compared to the plain multiobjective steepest descent method (Algorithm 1). A further improvement in terms of efficiency is achieved by avoiding the solution of a quadratic subproblem to compute a common step direction for all objective functions, which is usually required in first-order methods. Using a different discretization of our inertial gradient-like dynamical system, we obtain an accelerated multiobjective gradient method that does not require the solution of a subproblem in each step (Algorithm 2). While this algorithm does not converge in general, it yields good results on test problems while being faster than standard steepest descent.}},
  author       = {{Sonntag, Konstantin and Peitz, Sebastian}},
  journal      = {{Journal of Optimization Theory and Applications}},
  publisher    = {{Springer}},
  title        = {{{Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems}}},
  doi          = {{10.1007/s10957-024-02389-3}},
  year         = {{2024}},
}

@unpublished{51334,
  abstract     = {{The efficient optimization method for locally Lipschitz continuous multiobjective optimization problems from [1] is extended from finite-dimensional problems to general Hilbert spaces. The method iteratively computes Pareto critical points, where in each iteration, an approximation of the subdifferential is computed in an efficient manner and then used to compute a common descent direction for all objective functions. To prove convergence, we present some new optimality results for nonsmooth multiobjective optimization problems in Hilbert spaces. Using these, we can show that every accumulation point of the sequence generated by our algorithm is Pareto critical under common assumptions. Computational efficiency for finding Pareto critical points is numerically demonstrated for multiobjective optimal control of an obstacle problem.}},
  author       = {{Sonntag, Konstantin and Gebken, Bennet and Müller, Georg and Peitz, Sebastian and Volkwein, Stefan}},
  booktitle    = {{arXiv:2402.06376}},
  title        = {{{A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces}}},
  year         = {{2024}},
}

@article{52726,
  abstract     = {{Heteroclinic structures organize global features of dynamical systems. We analyse whether heteroclinic structures can arise in network dynamics with higher-order interactions which describe the nonlinear interactions between three or more units. We find that while commonly analysed model equations such as network dynamics on undirected hypergraphs may be useful to describe local dynamics such as cluster synchronization, they give rise to obstructions that allow to design of heteroclinic structures in phase space. By contrast, directed hypergraphs break the homogeneity and lead to vector fields that support heteroclinic structures.}},
  author       = {{Bick, Christian and von der Gracht, Sören}},
  issn         = {{2051-1329}},
  journal      = {{Journal of Complex Networks}},
  keywords     = {{Applied Mathematics, Computational Mathematics, Control and Optimization, Management Science and Operations Research, Computer Networks and Communications}},
  number       = {{2}},
  publisher    = {{Oxford University Press (OUP)}},
  title        = {{{Heteroclinic dynamics in network dynamical systems with higher-order interactions}}},
  doi          = {{10.1093/comnet/cnae009}},
  volume       = {{12}},
  year         = {{2024}},
}

@article{49905,
  abstract     = {{For 0 ≤ t ≤ r let m(t, r) be the maximum number s such that every t-edge-connected r-graph has s pairwise disjoint perfect matchings. There are only a few values of m(t, r) known, for instance m(3, 3) = m(4, r) = 1, and m(t, r) ≤ r − 2 for all t  = 5,
and m(t, r) ≤ r − 3 if r is even. We prove that m(2l, r) ≤ 3l − 6 for every l ≥ 3 and r ≥ 2l.}},
  author       = {{Ma, Yulai and Mattiolo, Davide and Steffen, Eckhard and Wolf, Isaak Hieronymus}},
  issn         = {{0209-9683}},
  journal      = {{Combinatorica}},
  keywords     = {{Computational Mathematics, Discrete Mathematics and Combinatorics}},
  pages        = {{429--440}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Edge-Connectivity and Pairwise Disjoint Perfect Matchings in Regular Graphs}}},
  doi          = {{10.1007/s00493-023-00078-9}},
  volume       = {{44}},
  year         = {{2024}},
}

@article{53101,
  abstract     = {{In this work, we consider optimal control problems for mechanical systems with fixed initial and free final state and a quadratic Lagrange term. Specifically, the dynamics is described by a second order ODE containing an affine control term. Classically, Pontryagin's maximum principle gives necessary optimality conditions for the optimal control problem. For smooth problems, alternatively, a variational approach based on an augmented objective can be followed. Here, we propose a new Lagrangian approach leading to equivalent necessary optimality conditions in the form of Euler-Lagrange equations. Thus, the differential geometric structure (similar to classical Lagrangian dynamics) can be exploited in the framework of optimal control problems. In particular, the formulation enables the symplectic discretisation of the optimal control problem via variational integrators in a straightforward way.}},
  author       = {{Leyendecker, Sigrid and Maslovskaya, Sofya and Ober-Blöbaum, Sina and Almagro, Rodrigo T. Sato Martín de and Szemenyei, Flóra Orsolya}},
  issn         = {{2158-2491}},
  journal      = {{Journal of Computational Dynamics}},
  keywords     = {{Optimal control problem, Lagrangian system, Hamiltonian system, Variations, Pontryagin's maximum principle.}},
  pages        = {{0--0}},
  publisher    = {{American Institute of Mathematical Sciences (AIMS)}},
  title        = {{{A new Lagrangian approach to control affine systems with a quadratic Lagrange term}}},
  doi          = {{10.3934/jcd.2024017}},
  year         = {{2024}},
}

@article{53534,
  abstract     = {{It is known that the notion of a transitive subgroup of a permutation group
$G$ extends naturally to subsets of $G$. We consider subsets of the general
linear group $\operatorname{GL}(n,q)$ acting transitively on flag-like
structures, which are common generalisations of $t$-dimensional subspaces of
$\mathbb{F}_q^n$ and bases of $t$-dimensional subspaces of $\mathbb{F}_q^n$. We
give structural characterisations of transitive subsets of
$\operatorname{GL}(n,q)$ using the character theory of $\operatorname{GL}(n,q)$
and interpret such subsets as designs in the conjugacy class association
scheme of $\operatorname{GL}(n,q)$. In particular we generalise a theorem of
Perin on subgroups of $\operatorname{GL}(n,q)$ acting transitively on
$t$-dimensional subspaces. We survey transitive subgroups of
$\operatorname{GL}(n,q)$, showing that there is no subgroup of
$\operatorname{GL}(n,q)$ with $1<t<n$ acting transitively on $t$-dimensional
subspaces unless it contains $\operatorname{SL}(n,q)$ or is one of two
exceptional groups. On the other hand, for all fixed $t$, we show that there
exist nontrivial subsets of $\operatorname{GL}(n,q)$ that are transitive on
linearly independent $t$-tuples of $\mathbb{F}_q^n$, which also shows the
existence of nontrivial subsets of $\operatorname{GL}(n,q)$ that are transitive
on more general flag-like structures. We establish connections with orthogonal
polynomials, namely the Al-Salam-Carlitz polynomials, and generalise a result
by Rudvalis and Shinoda on the distribution of the number of fixed points of
the elements in $\operatorname{GL}(n,q)$. Many of our results can be
interpreted as $q$-analogs of corresponding results for the symmetric group.}},
  author       = {{Ernst, Alena and Schmidt, Kai-Uwe}},
  journal      = {{Mathematische Zeitschrift}},
  number       = {{45}},
  title        = {{{Transitivity in finite general linear groups}}},
  doi          = {{10.1007/s00209-024-03511-x}},
  volume       = {{307}},
  year         = {{2024}},
}

@article{32447,
  abstract     = {{We present a new gradient-like dynamical system related to unconstrained convex smooth multiobjective optimization which involves inertial effects and asymptotic vanishing damping. To the best of our knowledge, this system is the first inertial gradient-like system for multiobjective optimization problems including asymptotic vanishing damping, expanding the ideas previously laid out in [H. Attouch and G. Garrigos, Multiobjective Optimization: An Inertial Dynamical Approach to Pareto Optima, preprint, arXiv:1506.02823, 2015]. We prove existence of solutions to this system in finite dimensions and further prove that its bounded solutions converge weakly to weakly Pareto optimal points. In addition, we obtain a convergence rate of order \(\mathcal{O}(t^{-2})\) for the function values measured with a merit function. This approach presents a good basis for the development of fast gradient methods for multiobjective optimization.}},
  author       = {{Sonntag, Konstantin and Peitz, Sebastian}},
  issn         = {{1095-7189}},
  journal      = {{SIAM Journal on Optimization}},
  keywords     = {{multiobjective optimization, Pareto optimization, Lyapunov analysis, gradient-likedynamical systems, inertial dynamics, asymptotic vanishing damping, fast convergence}},
  number       = {{3}},
  pages        = {{2259 -- 2286}},
  publisher    = {{Society for Industrial and Applied Mathematics}},
  title        = {{{Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping}}},
  doi          = {{10.1137/23M1588512}},
  volume       = {{34}},
  year         = {{2024}},
}

@article{55276,
  author       = {{Minelli, P. and Sourmelidis, A. and Technau, Marc}},
  journal      = {{Int. Math. Res. Not. IMRN}},
  number       = {{10}},
  pages        = {{8485–8502}},
  title        = {{{On restricted averages of Dedekind sums}}},
  doi          = {{10.1093/imrn/rnad283}},
  volume       = {{2024}},
  year         = {{2024}},
}

@article{55278,
  author       = {{Technau, Marc}},
  journal      = {{Proc. Amer. Math. Soc.}},
  number       = {{1}},
  pages        = {{63–69}},
  title        = {{{Remark on the Farey fraction spin chain}}},
  doi          = {{10.1090/proc/16520}},
  volume       = {{152}},
  year         = {{2024}},
}

