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Revision #1 to TR18-043 | 31st August 2018 16:48
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#### An operational characterization of mutual information in algorithmic information theory

**Abstract:**
We show that the mutual information, in the sense of Kolmogorov complexity, of any pair of strings

$x$ and $y$ is equal, up to logarithmic precision, to the length of the longest shared secret key that

two parties, one having $x$ and the complexity profile of the pair and the other one having $y$ and the

complexity profile of the pair, can establish via a probabilistic protocol with interaction on a public channel.

For $\ell > 2$, the longest shared secret that can be established from a tuple of strings $(x_1, . . . , x_\ell)$ by $\ell$

parties, each one having one component of the tuple and the complexity profile of the tuple, is equal, up

to logarithmic precision, to the complexity of the tuple minus the minimum communication necessary

for distributing the tuple to all parties. We establish the communication complexity of secret key agreement protocols that produce a secret key of

maximal length, for protocols with public randomness. We also show that if the communication complexity drops below the established threshold then only very short secret keys can be obtained.

**Changes to previous version:**
The presentation is improved. There is no technical change.

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TR18-043 | 22nd February 2018 00:46
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#### An operational characterization of mutual information in algorithmic information theory

**Abstract:**
We show that the mutual information, in the sense of Kolmogorov complexity, of any pair of strings

$x$ and $y$ is equal, up to logarithmic precision, to the length of the longest shared secret key that

two parties, one having $x$ and the complexity profile of the pair and the other one having $y$ and the

complexity profile of the pair, can establish via a probabilistic protocol with interaction on a public channel.

For $\ell > 2$, the longest shared secret that can be established from a tuple of strings $(x_1, . . . , x_\ell)$ by $\ell$

parties, each one having one component of the tuple and the complexity profile of the tuple, is equal, up

to logarithmic precision, to the complexity of the tuple minus the minimum communication necessary

for distributing the tuple to all parties. We establish the communication complexity of secret key agreement protocols that produce a secret key of

maximal length, for protocols with public randomness. We also show that if the communication complexity drops below the established threshold then only very short secret keys can be obtained.