Examples of using Entropy in English and their translations into Czech
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Randomness, entropy.
On the other hand, entropy in information theory characterizes the measure of uncertainty
According to the science of information, entropy is 0 for a system in which there is only one state the probability of the state 1.
Results in increasing molecular agitation, which we call entropy. At the microscopic level, this transfer of energy.
Entropy is a measure of how many ways I can rearrange those grains
in 2015 introduced his last solo performance"Entropy" in New York as part of the Czech Centre
comments on part of the results of the NEFRIT project aimed at abrasion resistance of high entropy alloy coatings HEA.
And that will require funding. due to quantum decoherence will need to be tested Someday, my new formulas on entropy decrease.
which we call entropy.
it was the only way to make sure that Entropy didn't completely erase everything.
From the fact that I can derive gravity from changes in entropy, that basically means we have to think about gravity in a different way.
Now, entropy is a measure of how many ways I can rearrange those grains
Energy is a condensed form of an information structure,"broken up" to a state with maximal entropy.
So, in the language of entropy, this sand pile has high entropy because there are many, many ways that I can rearrange its constituents
But by saying entropy always increases,
a stable state- a state with highest possible entropy and minimum potential energy.
A little quantum fluctuation can make a bubble of space that starts small and then grows-- starts with low entropy and then increases in entropy, just like our Universe does.
Because the laws of physics don't distinguish between the future and the past, entropy should increase not only toward the future
Bam! Now, now, let's reconsider the entire argument but with entropy reversed… and effect preceding cause.
pretty irrefutable that the universe is hurtling inexorably toward entropy.