On the continuum fallacy: is temperature a continuous function?  

2023, Foundations of Physics 

(with Campbell, D., Montelle, C., and Wilson, P.)  

https://doi.org/10.1007/s10701-023-00713-x 

This paper argues against the widely-held misconception that temperature is necessarily represented as a continuously varying function. It also argues that discontinuum models of temperature variation may actually have greater explanatory relevance and empirical adequacy in some cases.  

Does topology provide sufficient structure for non-causal explanations?

2023, PhD thesis (Foundations of Applied Mathematics), University of Canterbury, NZ

https://ir.canterbury.ac.nz/items/abeca6d2-8aea-4d0a-a456-a4fce5a823b0

This thesis examines some foundational issues in the applicability of topology to the natural world and their bearing on allegedly non-causal (topological) explanations of dynamical and complex systems. 

Not so distinctively mathematical explanations: topology and dynamical systems 

2022, Synthese  

(with Campbell, D., Montelle, C., and Wilson, P.)

https://doi.org/10.1007/s11229-022-03697-9  

This paper argues that distinctively mathematical explanations are actually causal explanations in disguise because they sneak in reasoning about particular forces in the associated conditional.  

A mathematical model of Dignaga’s hetu-cakra 

2020, Journal of Indian Council of Philosophical Research

https://doi.org/10.1007/s40961-020-00217-3 

This paper provides a formulation to deconstruct styles of analogical reasoning in Indian philosophy using the ideas of bounded rationality and the Buddhist method of reasoning through analogies.  

(under review, titled changed) Geometry and dynamics: tossed sticks and the bogus mathematical explanations of alleged physical facts (draft available) 

(with Campbell, D., Montelle, C. and Wilson, P.)

This paper highlights a crucial difference between geometrical and dynamical reasoning in purported mathematical explanations of physical phenomena, which has been surprisingly neglected in the debate on mathematical explanations so far. This, we argue, makes for an appealing case that geometrical explanations may not ‘constrain’ physical phenomena in some non-causal sense.    

(under review, titled changed) Are mathematical explanations (of physical phenomena) causal explanations in disguise? (draft available)

(with Campbell, D., Montelle, C. and Wilson, P.)

We argue that purported mathematical explanations conceal contingent facts in their conditionals, and thus there is no fundamental difference between a mathematical explanation of a physical phenomenon and an ordinary application to mathematics to a physical phenomenon.  

Is temperature a statistical 'thing'?

We challenge the notion that temperature is an emergent property of large statistical systems that is only meaningful in equilibrium situations. We also bring together several results from non-equilibrium thermodynamics and show how a statistical understanding of temperature does not exhaust its definition.

The law of large numbers and other statistical generalities: why do continuum models work, after all? 

(with Campbell, D., Montelle, C. and Wilson, P.)

We investigate the physical foundations for the observation that certain macro-level explanations and occurrences are probabilistically, or otherwise, independent of the micro-level details of a system in a way that stable statistical generalities are observed at the macro-level. We argue that the explanation for this observation may ultimately be forthcoming from the way complex micro-level phenomena are mathematically approximated via the central limit theorem. 

Does topology provide sufficient structure for distinctively mathematical explanations? (draft available)

(with Campbell, D., Montelle, C. and Wilson, P.)

This paper argues that assumptions such as continuity or smoothness employed in a topological explanation are realised in the physical world only as contingent causal facts and packaging such assumptions in the conditional of a purported DME amounts to manipulating a run-of-the-mill causal explanation to appear like a non-causal explanation.

A Buddhist take on mathematical modelling (slides available)

(Proceedings of the University of Cambridge Postgraduate Conference: Dynamical Encounters Between Buddhism and the West)

This paper argues that a perspectival, contextual and mind-dependent view of mathematical models can be read closely to the ontological middle ground proposed by the Buddhist philosophical school of Madhyamaka, which argues no concept exists independently of human thought. 

Is (applied) mathematical reasoning quintessentially physical reasoning?

(with Campbell, D., Montelle, C. and Wilson, P.)

We argue that the applications of mathematics to the physical world are not dictated by Platonic connections but rather tangible physical principles, such as conservation principles. Mathematical reasoning, as applied to the physical world, works because it invokes or reflects physical principles. We demonstrate this by building upon Mark Levi's brilliant book, The Mathematical Mechanic (Princeton University Press, 2012) that provides various ways of understanding the physical basis of various mathematical results.  

The tale of a medieval Indian scroll: mathematical discoveries (slides available)

(with Montelle, C., Cidami, S. and Dhammaloka, J. : part of a University of Canterbury project on the history and mathematics of medieval astronomical scroll)

We investigate the historical and the mathematical origins of a rare seven-metre-long-medieval-Sanskrit scroll which, we believe, holds important lessons for historians of science.