Optimal Consumption and Portfolio Choice with No-Borrowing Constraint in the Kim-Omberg Model

This paper solves an intertemporal utility maximization problem with a no-borrowing constraint and stochastic excess returns in the Kim-Omberg framework by employing Lagrange duality to transform the primal problem into a dual singular control problem, which is then characterized via an auxiliary two-dimensional optimal stopping problem to derive optimal consumption and portfolio strategies.

Giorgio Ferrari, Tim Niclas Schütz2026-03-10🔢 math

Concentration of the largest induced tree size of Gn,pG_{n,p} around the standard expectation threshold

This paper extends the known concentration of the largest induced tree size in random graphs Gn,pG_{n,p} to all vanishing edge probabilities pn1/2ln3/2np \gg n^{-1/2} \ln^{3/2} n and demonstrates that for sparser graphs where n1pn1/2n^{-1} \ll p \ll n^{-1/2}, this size fails to concentrate around the standard expectation threshold.

Jakob Hofstad2026-03-10🔢 math

Predicting Mersenne Prime Exponents Using Euler's Quadratic Polynomial C(n) = n^2 + n + 41 with Nearest-Integer Rounding

This paper proposes the Wright-Euler Mersenne Exponent Hypothesis, which utilizes Euler's quadratic polynomial C(n)=n2+n+41C(n) = n^2 + n + 41 combined with nearest-integer rounding to identify candidate exponents for Mersenne primes, demonstrating a significantly higher accuracy and lower error rate compared to exponential regression models while effectively narrowing the search space for GIMPS testing.

JohnK Wright V2026-03-10🔢 math

Distributionally Robust Geometric Joint Chance-Constrained Optimization: Neurodynamic Approaches

This paper introduces a two-time scale neurodynamic duplex approach utilizing projection equations to solve distributionally robust geometric joint chance-constrained optimization problems with unknown distributions, demonstrating convergence to the global optimum through neural networks in applications such as shape optimization and telecommunications.

Ange Valli (L2S), Siham Tassouli (OPTIM), Abdel Lisser (L2S)2026-03-10🔢 math

The mathematical landscape of partial information decomposition: A comprehensive review of properties and measures

This paper provides a comprehensive review of the Partial Information Decomposition (PID) framework by integrating diverse formalisms into a unified language, systematically evaluating their adherence to known properties, mapping theorems that reveal relationships and incompatibilities between these properties, and charting a path for future theoretical and empirical advancements.

Alberto Liardi, Keenan J. A. Down, George Blackburne, Matteo Neri, Pedro A. M. Mediano2026-03-10🔢 math

Green-Function and Information-Geometric Correspondences Between Inverse Eigenvalue Loci of Generalized Lucas Sequences and the Mandelbrot Set

This numerically driven study establishes a robust multi-scale framework demonstrating that the inverse eigenvalue loci of generalized Lucas sequences exhibit a striking low-distortion geometric and potential-theoretic correspondence with the boundary of the Mandelbrot set, revealing shared structural organization across geometric, harmonic, and statistical levels.

Arturo Ortiz-Tapia2026-03-10✓ Author reviewed 🔢 math

Three Fixed-Dimension Satisfiability Semantics for Quantum Logic: Implications and an Explicit Separator

This paper compares three fixed-dimension satisfiability semantics for quantum logic—standard Hilbert-lattice, global commuting-projector, and local partial-Boolean—proving a strict hierarchy where the standard semantics is strictly more expressive than the others, as demonstrated by an explicit formula that is satisfiable in the standard semantics but unsatisfiable under the other two for all dimensions d2d \ge 2.

Joaquim Reizi Higuchi2026-03-10🔢 math