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| 1 | +--- |
| 2 | +layout: proof |
| 3 | +mathjax: true |
| 4 | + |
| 5 | +author: "Joram Soch" |
| 6 | +affiliation: "BCCN Berlin" |
| 7 | +e_mail: "joram.soch@bccn-berlin.de" |
| 8 | +date: 2024-09-20 14:04:20 |
| 9 | + |
| 10 | +title: "Self-independence of random event" |
| 11 | +chapter: "General Theorems" |
| 12 | +section: "Probability theory" |
| 13 | +topic: "Probability" |
| 14 | +theorem: "Self-independence" |
| 15 | + |
| 16 | +sources: |
| 17 | + - authors: "Wikipedia" |
| 18 | + year: 2024 |
| 19 | + title: "Independence (probability theory)" |
| 20 | + in: "Wikipedia, the free encyclopedia" |
| 21 | + pages: "retrieved on 2024-09-20" |
| 22 | + url: "https://en.wikipedia.org/wiki/Independence_(probability_theory)#Self-independence" |
| 23 | + - authors: "JoramSoch" |
| 24 | + year: 2023 |
| 25 | + title: "Suppose A is an event. Can A be independent of itself?" |
| 26 | + in: "X" |
| 27 | + pages: "Aug 7, 2023, 03:59 PM" |
| 28 | + url: "https://x.com/JoramSoch/status/1688550557034651648" |
| 29 | + |
| 30 | +proof_id: "P470" |
| 31 | +shortcut: "ind-self" |
| 32 | +username: "JoramSoch" |
| 33 | +--- |
| 34 | + |
| 35 | + |
| 36 | +**Theorem:** Let $E$ be a [random event](/D/reve). Then, $E$ is [independent of itself](/D/ind), if and only if its [probability](/D/prob) is zero or one: |
| 37 | + |
| 38 | +$$ \label{eq:ind-self} |
| 39 | +E \text{ self-independent} \quad \Leftrightarrow \quad P(E) = 0 \quad \text{or} \quad P(E) = 1 \; . |
| 40 | +$$ |
| 41 | + |
| 42 | + |
| 43 | +**Proof:** According to the definition of [statistical independence](/D/ind), it must hold that: |
| 44 | + |
| 45 | +$$ \label{eq:ind} |
| 46 | +\begin{split} |
| 47 | +P(E,E) &= P(E) \cdot P(E) \\ |
| 48 | +P(E) &= \left( P(E) \right)^2 \; . |
| 49 | +\end{split} |
| 50 | +$$ |
| 51 | + |
| 52 | +This is only fulfilled, if |
| 53 | + |
| 54 | +$$ \label{eq:ind-self-qed} |
| 55 | +P(E) = 0 \quad \text{or} \quad P(E) = 1 \; . |
| 56 | +$$ |
| 57 | + |
| 58 | +Both is possible, since the [lower bound of probability is zero](/D/prob-ax) and the [upper bound of probability is one](/P/prob-range). |
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