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aleksandrsokolov
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add dimitrov keynote
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data/plenary/dimitrov.md

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---
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title: ""
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title: "THE ALMOST LACK OF MEMORY (ALM) DISTRIBUTIONS AND THEIR APPLICATIONS"
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---
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Long ago baron Augustin-Louis Cauchy (1789 - 1857) proved in 1821 that if the functional
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equation $f(x+y)=f(x)f(y)$ holds for any non-negative arguments $x$ and $y$, then the function
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$f(x)$ exponential $f(x)=e^{cx}$ function. When applied to the probability property of a random
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lifetime of a technical unit $X$ it looks $P\{X \ge x+y\}= P \{X \ge x\}P\{X \ge y\}$. From Kaushy theorem and
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Probability it follows that the lifetime probability distribution function has the form $F \{X \ge' x\}= 1 - e^{-ax}$.
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And it follows that if this unit still works (is alive at age $y$), the chances to stay alive
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some more time x, is the same as when just starts functioning:
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$P\{X \ge x+y | X \ge y \}= P\{X \ge x\}$.
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A conventional reading of this property is known as Lack-of-Memory (LM) property at any age
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$y$. It means that at any age y the units with exponentially distributed lifetimes lose the
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memory about their current age and behave as a just newborn. This is a characteristic
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property that helps in practice to recognize the lifetime distribution of technical items.
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In a series of works with numerous colleagues (please, see the references) on similar
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properties that may be used in practice to recognize the lifetime distribution of technical
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items. And we found that if a lifetime shows the lack of memory at a given age c.
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It will lose the memory at any age mc integer multiple to the constant c for infinitely many
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times $m=2,3, 4,…$. For this reason, we named these distributions ALM distributions. And we
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found the mathematical form of this class of probability distributions, established numerous
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mathematical presentations, physical properties, and found various practical applications.

src/pages/keynotes/[slug].jsx

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<h1 className="text-2xl md:text-4xl text-center md:text-left leading-10 font-extrabold">
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{keynote.title}
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</h1>
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{ authors.map((author => <SpeakerSmallCard speaker={author} className="mt-4 font-medium text-gray-600" />)) }
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{ authors.map((author => <SpeakerSmallCard key={author.slug} speaker={author} className="mt-4 font-medium text-gray-600" />)) }
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{/*<SpeakerSmallCard speaker={keynote.speaker} className="mt-4 font-medium text-gray-600" />*/}
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{/*{keynote.coauthor ? <SpeakerSmallCard speaker={keynote.coauthor} className="mt-4 font-medium text-gray-600" /> : null }*/}
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