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ETH Zurich – Distributed Computing – www.disco.ethz.ch Klaus-Tycho Förster, Rijad Nuridini, Jara Uitto, Roger Wattenhofer Lower Bounds for the Capture.

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Presentation on theme: "ETH Zurich – Distributed Computing – www.disco.ethz.ch Klaus-Tycho Förster, Rijad Nuridini, Jara Uitto, Roger Wattenhofer Lower Bounds for the Capture."— Presentation transcript:

1 ETH Zurich – Distributed Computing – www.disco.ethz.ch Klaus-Tycho Förster, Rijad Nuridini, Jara Uitto, Roger Wattenhofer Lower Bounds for the Capture Time: Linear, Quadratic, and Beyond

2 How to catch a robber on a graph? The game of Cops and Robbers

3 The rules of the game

4 The Cop is placed first C

5 The Robber may then choose a placement CR

6 Next, they alternate in moves CR

7 CR

8 CR

9 CR

10 The Cop won! C

11 C

12 How many moves does the cop need?

13 Catch multiple? RRRC

14 Upper bound to catch ℓ robbers

15 Lower bound to catch ℓ robbers … …

16 C … …

17 CR R R … …

18 CR R R … …

19 CR R R … …

20 R CR R … …

21 R CR R … …

22 CR R R … …

23 CR R R … …

24 R CR R … …

25 R C R … …

26 R C … …

27 R C … …

28 CR R … …

29 Summary so far

30 What about multiple cops and one robber?

31 Let’s start with two cops and one robber …

32 R C C … one cop not enough

33 Let’s start with two cops and one robber C R C …

34 Beyond two cops? … ??

35

36 Multiple cops and one robber …

37 Summary so far

38 What about multiple cops and multiple robbers?

39 Are we done? Multiple cops and multiple robbers … … … …

40 … … … …

41 … … … … C Prevents robbers from crossing 

42 C ……

43 C ……

44 C

45 C

46 C

47 Construction of the ring … … …… …

48 Robber placement Robbers choose side with less cops R R R

49 Robber strategy R R R

50 R R R

51 R R R C Can catch half of the robbers!

52 Robber strategy R R R C

53 R R R C

54 R R R C

55 R R R C

56 Summary

57 ETH Zurich – Distributed Computing – www.disco.ethz.ch Klaus-Tycho Förster, Rijad Nuridini, Jara Uitto, Roger Wattenhofer Lower Bounds for the Capture Time: Linear, Quadratic, and Beyond


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