4 research outputs found
Demystification of Entangled Mass Action Law
Recently, Gorban (2021) analysed some kinetic paradoxes of the transition
state theory and proposed its revision that gave the ``entangled mass action
law'', in which new reactions were generated as an addition to the reaction
mechanism under consideration. These paradoxes arose due to the assumption of
quasiequilibrium between reactants and transition states.
In this paper, we provided a brief introduction to this theory, demonstrating
how the entangled mass action law equations can be derived in the framework of
the standard quasi steady state approximation in combination with the
quasiequilibrium generalized mass action law for an auxiliary reaction network
including reactants and intermediates. We also proved the basic physical
property (positivity) for these new equations, which was not obvious in the
original approach.Comment: Minor correction
Rosenblatt's first theorem and frugality of deep learning
First Rosenblatt's theorem about omnipotence of shallow networks states that
elementary perceptrons can solve any classification problem if there are no
discrepancies in the training set. Minsky and Papert considered elementary
perceptrons with restrictions on the neural inputs: a bounded number of
connections or a relatively small diameter of the receptive field for each
neuron at the hidden layer. They proved that under these constraints, an
elementary perceptron cannot solve some problems, such as the connectivity of
input images or the parity of pixels in them. In this note, we demonstrated
first Rosenblatt's theorem at work, showed how an elementary perceptron can
solve a version of the travel maze problem, and analysed the complexity of that
solution. We constructed also a deep network algorithm for the same problem. It
is much more efficient. The shallow network uses an exponentially large number
of neurons on the hidden layer (Rosenblatt's -elements), whereas for the
deep network the second order polynomial complexity is sufficient. We
demonstrated that for the same complex problem deep network can be much smaller
and reveal a heuristic behind this effect
Thermal "portrait" of sportsmen with different aerobic capacity
Nowadays thermography technique is widely used in clinical and diagnostic procedures. Thermal “portrait” fixed by infra-red thermotracer in rest conditions is characterized by mosaic temperature distribution on skin surface and large individual differences in this pattern. We obtained significant correlations between maximal and average temperature on sportsmen upper body part and important indexes of aerobic capacity – VO2max and anaerobic threshold. We suggest mechanisms responsible for its formation and also propose hypothesis assuming possible role of brown adipose tissue influence on thermal “portrait” forming