• Pixel-art Flukessa, the Second-Law Rebel, on a black mug with the slogan "SECOND LAW: BRIEFLY, IN MY FAVOUR."

IndexCatalogueMug

Flukessa, the Second-Law Rebel Mug

\[\frac{P(\Sigma_t = A)}{P(\Sigma_t = -A)} = e^{A t}\]
Prezzo di listino $21.99 USD
Prezzo di listino Prezzo scontato $21.99 USD
In offerta Esaurito
Size

Fluctuation theorem: small systems can briefly show entropy decrease with exponentially small probability.

The joke: Tiny victory in tiny systems. The slogan on the mug reads SECOND LAW: BRIEFLY, IN MY FAVOUR.

Source: D. J. Evans, E. G. D. Cohen & G. P. Morriss, PRL 71, 2401 (1993); G. M. Wang et al., PRL 89, 050601 (2002).

Shipping calculated at checkout by destinationMade to order, ships in ~10 days

Details

Size & material11oz · 15oz

Black glossy ceramic mug with a C-handle. Lead- and BPA-free.

  • 11oz: 0.33 l
  • 15oz: 0.44 l
CareDishwasher & microwave safe

Dishwasher safe (top rack) or hand wash. Microwave safe.

ShippingBy destination

Shipping calculated at checkout by destination.

Made to order: about 10 days of production and handling before it ships.

Delivery times & where we ship

Returns & replacements21 days

Every item is printed to order, so we can’t accept returns or exchanges for change of mind, or if you ordered the wrong size or colour.

Print defect, misprint, damage or the wrong item? We’ll send a free replacement, or a refund if you prefer. Report it within 21 days of delivery with a photo; no need to send it back.

Full refund & replacement policy

The physics

Fluctuation theorem: small systems can briefly show entropy decrease with exponentially small probability.

The joke: Tiny victory in tiny systems. The slogan on the mug reads SECOND LAW: BRIEFLY, IN MY FAVOUR.

Source: D. J. Evans, E. G. D. Cohen & G. P. Morriss, PRL 71, 2401 (1993); G. M. Wang et al., PRL 89, 050601 (2002).

Equations

\[\frac{P(\Sigma_t = A)}{P(\Sigma_t = -A)} = e^{A t}\]
Symbols
SymbolMeaningUnit
\(\Sigma_t\) time-averaged entropy production rate over time t (units of k_B) \(\mathrm{s^{-1}}\)
\(A\) value of the entropy production rate \(\mathrm{s^{-1}}\)
\(t\) averaging time \(\mathrm{s}\)