25 research outputs found
Genus Comparisons in the Topological Analysis of RNA Structures
RNA folding prediction remains challenging, but can be also studied using a
topological mathematical approach. In the present paper, the mathematical
method to compute the topological classification of RNA structures and based on
matrix field theory is shortly reviewed, as well as a computational software,
McGenus, used for topological and folding predictions. Additionally, two types
of analysis are performed: the prediction results from McGenus are compared
with topological information extracted from experimentally-determined RNA
structures, and the topology of RNA structures is investigated for biological
significance, in both evolutionary and functional terms. Lastly, we advocate
for more research efforts to be performed at intersection of
physics-mathematics and biology, and in particular about the possible
contributions that topology can provide to the study of RNA folding and
structure.Comment: 11 pages, 8 figure
On projective spaces over local fields
Let be the set of points of a finite-dimensional projective
space over a local field , endowed with the topology naturally
induced from the canonical topology of . Intuitively, continuous incidence
abelian group structures on are abelian group structures on
preserving both the topology and the incidence of lines
with points. We show that the real projective line is the only
finite-dimensional projective space over an Archimedean local field which
admits a continuous incidence abelian group structure. The latter is unique up
to isomorphism of topological groups. In contrast, in the non-Archimedean case
we construct continuous incidence abelian group structures in any dimension . We show that if and the characteristic of does not
divide , then there are finitely many possibilities up to topological
isomorphism and, in any case, countably many.Comment: 22 page
Reasoning by Analogy in Mathematical Practice
The testimony and practice of notable mathematicians indicate that there is
an important phenomenological and epistemological difference between
superficial and deep analogies in mathematics. In this paper, we offer a
descriptive theory of analogical reasoning in mathematics, stating general
conditions under which an analogy may provide genuine inductive support to a
mathematical conjecture (over and above fulfilling the merely heuristic role of
'suggesting' a conjecture in the psychological sense). The proposed conditions
generalize the criteria put forward by Hesse (1963) in her influential work on
analogical reasoning in the empirical sciences. By reference to several
case-studies, we argue that the account proposed in this paper does a better
job in vindicating the use of analogical inference in mathematics than the
prominent alternative defended by Bartha (2009). Moreover, our proposal offers
novel insights into the practice of extending to the infinite case mathematical
properties known to hold in finite domains.Comment: 35 pages, 4 figures. Forthcoming in Philosophia Mathematic
What is so special about analogue simulations?
Contra Dardashti, Th\'ebault, and Winsberg (2017), this paper defends an
analysis of arguments from analogue simulations as instances of a familiar kind
of inductive inference in science: arguments from material analogy (Hesse,
Models and Analogies in Science, Univ Notre Dame Press, 1963). When understood
in this way, the capacity of analogue simulations to confirm hypotheses about
black holes can be deduced from a general account - fully consistent with a
Bayesian standpoint - of how ordinary arguments from material analogy confirm.
The proposed analysis makes recommendations about what analogue experiments are
worth pursuing that are more credible than Dardashti, Hartmann, Th\'ebault, and
Winsberg's (2019). It also offers a more solid basis for addressing the
concerns by Crowther, Linneman, and W\"utrich (2019), according to which
analogue simulations are incapable of sustaining hypotheses concerning black
hole radiation.Comment: 26 pages, 1 figur
Exact solutions for a Solow-Swan model with non-constant returns to scale
The Solow-Swan model is shortly reviewed from a mathematical point of view.
By considering non-constant returns to scale, we obtain a general solution
strategy. We then compute the exact solution for the Cobb-Douglas production
function, for both the classical model and the von Bertalanffy model. Numerical
simulations are provided.Comment: 10 pages, 4 figure