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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: math.GN
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The search results for "math.GN" primarily cover topics outside the typical scope of general mathematics, focusing instead on interdisciplinary applications such as mathematical modeling of CRISPR-CAS systems in biofilm formation, critiques in quantum physics regarding operator diagonalizability, and quantitative finance models like Sig-SDEs for risk and liquidity forecasting. Additionally, there are references to advanced techniques in mass spectrometry and their applications. These results highlight the diverse applications of mathematical concepts across various scientific fields.
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arxiv.org
Mathematical Modeling of CRISPR-CAS system effects on biofilm formation

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR), linked with CRISPR associated (CAS) genes, play a profound role in the interactions between phage and their bacterial hosts. It is now well understood that CRISPR-CAS systems can confer adaptive immunity against bacteriophage infect…

q-bio.PE math.DS q-bio.CB
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