88 results
Relevance Newest Most Cited
HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: math.OC
iON AI Synthesis
The search results for "math.OC" (Optimization and Control) include critiques and advancements in mathematical frameworks and applications. One result discusses a critique of a claim regarding operator diagonalizability and normality in quantum physics, highlighting a misinterpretation in Tanaka's assumptions. Another explores liquidity forecasting in derivatives, emphasizing the relationship between cash-flow expectations under different probability measures. Additionally, a novel framework for model selection in quantitative finance is proposed, integrating traditional and generative modeling approaches.
Ask iON more → 📚 Find Papers
arxiv.org
Comment on ``On Existence of a Biorthonormal Basis Composed of Eigenvectors of Non-Hermitian Operators [quant-ph/0603075]''

We point out that T. Tanaka's recent criticism [quant-ph/0603075] of the results of J. Math. Phys. 43, 3944 (2002) [math-ph/0203005] is based on an assumption which was never made in the latter paper, namely that the diagonalizability of an operator implies that it is normal. Therefore, Tanaka's obj…

quant-ph
arxiv.org
Replication-Consistent Liquidity Forecasting for Derivatives -- Forward Funding Sensitivities and a Liquidity Valuation Adjustment for Settlement Lags

We study cash-flow forecasting for derivatives used in liquidity management and clarify its relation to risk-neutral valuation and replication. While it is well known that expectations under different measures (e.g., $\mathbb{P}$ vs. $\mathbb{Q}$) can yield different undiscounted cash-flows, further…

q-fin.PR q-fin.CP q-fin.RM
arxiv.org
Sig-SDEs model for quantitative finance

Mathematical models, calibrated to data, have become ubiquitous to make key decision processes in modern quantitative finance. In this work, we propose a novel framework for data-driven model selection by integrating a classical quantitative setup with a generative modelling approach. Leveraging the…

q-fin.CP q-fin.MF q-fin.PR
arxiv.org
A preparative mass spectrometer to deposit intact large native protein complexes

Electrospray ion-beam deposition (ES-IBD) is a versatile tool to study structure and reactivity of molecules from small metal clusters to large protein assemblies. It brings molecules gently into the gas phase where they can be accurately manipulated and purified, followed by controlled deposition o…

q-bio.BM
arxiv.org
Noise Stability is computable and low dimensional

Questions of noise stability play an important role in hardness of approximation in computer science as well as in the theory of voting. In many applications, the goal is to find an optimizer of noise stability among all possible partitions of $\mathbb{R}^n$ for $n \geq 1$ to $k$ parts with given Ga…

math.PR cs.CC
arxiv.org
On Mathematics of Bubbles in Dynamical Systems

A new concept called biased derivative is proposed. It has a potential to better understand and model some aspects of dynamical systems associated with creating bubbles.…

eess.SY math.DS
arxiv.org
A Simple Mathematical Model of Politics (I)

Politics is everywhere. In this paper, I propose a simple model to demonstrate political behavior in human society.…

cs.SI math.GN math.PR
arxiv.org
Metamathematics of Algorithmic Composition

This essay recounts my personal journey towards a deeper understanding of the mathematical foundations of algorithmic music composition. I do not spend much time on specific mathematical algorithms used by composers; rather, I focus on general issues such as fundamental limits and possibilities, by …

cs.SD eess.AS
arxiv.org
Affinity-based extension of non-extensive entropy and statistical mechanics

Tsallis' non-extensive entropy is extended to incorporate the dependence on affinities between the microstates of a system. At the core of our construction of the extended entropy ($\mathcal{H}$) is the concept of the effective number of dissimilar states, termed the effective diversity ($\mathitΔ$…

q-bio.QM q-bio.PE
arxiv.org
Mathematical Theory of Computational Resolution Limit in Multi-dimensions

Resolving a linear combination of point sources from their band-limited Fourier data is a fundamental problem in imaging and signal processing. With the incomplete Fourier data and the inevitable noise in the measurement, there is a fundamental limit on the separation distance between point sources …

eess.IV eess.SP