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@ -63,6 +63,11 @@ CLOCK: [2021-10-07 Thu 13:38]--[2021-10-07 Thu 17:50] => 4:12
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- see my notes. just calculate the time derivative of the bath energy
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expectation
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- [[file:python/billohops/test_billohops.org][my first experiments]] yield bogus numerics...
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- richards code makes it work
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- for derivations see
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- [[file:calca/heat_flow/nonlinear_hops.xoj][nonlinear]]
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- [[file:tex/energy_transfer/main.pdf][TeXed notes]]
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- the energy balance checks out [[id:cbc95df0-609d-4b1f-a51d-ebca7b680ec7][System + Interaction Energy]] and [[file:calca/heat_flow/hsi.xoj][my notes]]
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*** TODO TeX notes
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- done with nonlinear
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*** TODO verify that second hops state vanishes
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@ -71,13 +76,23 @@ CLOCK: [2021-10-07 Thu 13:38]--[2021-10-07 Thu 17:50] => 4:12
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- it works see [[file:python/richard_hops/energy_flow.org][Energy Flow]]
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- interestingly with this model: only one aux state
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*** TODO Test Nonlinear hops
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- see [[file:python/richard_hops/energy_flow_nonlinear.org][here]]
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*** TODO Generalize to two Baths
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*** TODO Generalize to Nonzero Temp
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- in cite:RichardDiss the noise hamiltonian method is described
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- b.c. only on system -> calculation should go through :)
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- not that easy, see [[file:calca/heat_flow/nonlinear_hops.xoj][notes]]
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- includes time derivative of stoch proc
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- idea: sample time derivative and integrate
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- not as bad as thought: no exponential form needed -> process smooth
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*** TODO Analytic Verification
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- cummings
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- and pseudo-mode
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*** TODO figure out why means involving the stoch. process are so bad
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- maybe y is wrong -> no
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- then: not differentiable + too noisy
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- other term is integral and continous, converges faster?
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*** TODO VORTRAG
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** Rivas Vortrag
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** Matrix Eigenvals
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- see cite:Pan1999May
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