As a preliminary helper result, show by induction that for events El, E2,...,EM, M P(E, or Ex or ... or Em) s 2 P(Em)

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**Inductive Proof and Tournament Theory**

**Probability of Union of Events**

We begin by establishing a fundamental result via induction. For a series of events \( E_1, E_2, \ldots, E_M \), demonstrate that:

\[
P(E_1 \text{ or } E_2 \text{ or } \ldots \text{ or } E_M) \leq \sum_{m=1}^{M} P(E_m)
\]

This inequality emphasizes that the probability of the union of multiple events is at most the sum of the probabilities of each individual event.

**Tournament Representation and Analysis**

Consider a scenario where \( N \) teams participate in a tournament, with each team competing against every other team.

The outcomes of the tournament can be depicted using a directed graph. In this graph:
- Each node \( i \) symbolizes team \( i \).
- An edge from node \( i \) to node \( j \) (denoted as \( i \rightarrow j \)) exists if team \( i \) beats team \( j \).

**Concept of a k-Winner**

In certain competitions, determining a definitive winner might be challenging, particularly if every team is defeated by at least one other team. To tackle this, we introduce the concept of a "k-winner":

- A team \( i \) is designated as a k-winner if there is a group of \( k \) teams, each of which is defeated by team \( i \).

Despite other teams possibly defeating team \( i \), there exists at least one group of size \( k \) that is consistently defeated by team \( i \).

**Exercise**

Given \( N = 100 \) and the parameter \( k \), argue that there are conceivable tournament arrangements devoid of any k-winners. This exercise reinforces the applicability of directed graphs in understanding tournament dynamics and the concept of k-winners in competitive settings.
Transcribed Image Text:**Inductive Proof and Tournament Theory** **Probability of Union of Events** We begin by establishing a fundamental result via induction. For a series of events \( E_1, E_2, \ldots, E_M \), demonstrate that: \[ P(E_1 \text{ or } E_2 \text{ or } \ldots \text{ or } E_M) \leq \sum_{m=1}^{M} P(E_m) \] This inequality emphasizes that the probability of the union of multiple events is at most the sum of the probabilities of each individual event. **Tournament Representation and Analysis** Consider a scenario where \( N \) teams participate in a tournament, with each team competing against every other team. The outcomes of the tournament can be depicted using a directed graph. In this graph: - Each node \( i \) symbolizes team \( i \). - An edge from node \( i \) to node \( j \) (denoted as \( i \rightarrow j \)) exists if team \( i \) beats team \( j \). **Concept of a k-Winner** In certain competitions, determining a definitive winner might be challenging, particularly if every team is defeated by at least one other team. To tackle this, we introduce the concept of a "k-winner": - A team \( i \) is designated as a k-winner if there is a group of \( k \) teams, each of which is defeated by team \( i \). Despite other teams possibly defeating team \( i \), there exists at least one group of size \( k \) that is consistently defeated by team \( i \). **Exercise** Given \( N = 100 \) and the parameter \( k \), argue that there are conceivable tournament arrangements devoid of any k-winners. This exercise reinforces the applicability of directed graphs in understanding tournament dynamics and the concept of k-winners in competitive settings.
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