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@ArnoStrouwen
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Rewrite of MTK documentation continues with SDE modelling.

What this tutorial is still lacking, is an exact mapping of the MTK @brownian concept to the LaTeX equation.

I'm not at all an expert in SDEs, but @brownian does not seem to map directly to what we call Brownian motion but more something on the level of dB/dt.

@ChrisRackauckas
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I'm not at all an expert in SDEs, but @brownian does not seem to map directly to what we call Brownian motion but more something on the level of dB/dt.

They are Brownian increments, yes, so variables which when integrated are Brownian motions. Not referred to as dB/dt, instead just dB since it's only defined in the integral sense.

@ArnoStrouwen
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They are Brownian increments, yes, so variables which when integrated are Brownian motions. Not referred to as dB/dt, instead just dB since it's only defined in the integral sense.

I understand that this is only mathematically rigorously defined in the integral sense.
However, in the code, we do have: D = Differential(t); D(x), which in the Symbolics docs is defined as differential w.r.t time.

I need to figure out a way to succinctly express that even though we work in the integral sense, the dt present in the deterministic terms is omitted (when no @brownian is present), while the dW is implied from @brownian

@ChrisRackauckas
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The formulation here is effectively as a Langevin equation https://en.wikipedia.org/wiki/Langevin_equation

@ArnoStrouwen
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Can be merged when tests pass.

@ArnoStrouwen
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@ChrisRackauckas ChrisRackauckas merged commit aaf6893 into SciML:master Oct 12, 2024
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@ArnoStrouwen ArnoStrouwen deleted the docs2 branch October 12, 2024 19:13
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2 participants