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-: Hello folks.
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In this lecture we are going to look
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at one of the most commonly used parts
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of combinatorics, permutations.
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Permutations represents the number
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of different possible ways we can arrange a set of elements.
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These elements can be digits, letters, objects,
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or even people.
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To clear any confusion, let's look at an example.
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Imagine you haven't watched the latest Formula One race
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but your friends spoiled who the three drivers
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on the podium are;
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Lewis, Max and Kimi.
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A permutation of three, denoted P of three
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would express the total number of different ways
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these drivers could split the medals among one another.
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Suppose Lewis won the race,
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then we have two possible scenarios,
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Max finished second and Kimi finished third.
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Or, Kimi finished second and Max finished third.
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Now suppose that Max won,
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once again we have two possible outcomes,
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but this time it is Lewis and Kimi
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who have to split the silver and bronze medals.
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Either Kimi got silver and Lewis got bronze,
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or the other way around.
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Not surprisingly, if Kimi won the race
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we would have two more ways
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the drivers can be arranged on the podium.
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Either Max gets silver and Lewis gets bronze,
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or Lewis gets silver and Max gets bronze.
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In total this leaves us with six unique ways
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these three drivers
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can split the top three spots.
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We call these six ways permutations
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and we are going to show you how to compute the number
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of permutations for a finite set of any size
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and, in different situations.
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Great. Now let's discuss the intuition behind computing
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the total number of permutations
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for a set of n many elements.
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We start filling out the positions one by one.
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The order in which we fill them out is completely up to us.
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For convenience, we usually start with the first slot,
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which represents the race winner in our example.
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Since anybody out of the n many drivers
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in the set could have won the race,
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we have n different possible winners.
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After that, we have n minus one possible drivers left
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and any one of those can finish second.
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Regardless of which out of the n elements we chose to
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take the first slot, we have n minus one
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many possibilities for the second slot.
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Similarly, we would have n minus two possible outcomes
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for who finishes third and so on.
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Generally, the further down the ranking we go
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the more options we exhaust, and the more options we exhaust
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the fewer options we have left.
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This trend will continue until we get to the last element,
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for which we will only have a single option available.
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Therefore, mathematically, the number of
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permutations would equal the product of n, n minus one,
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n minus two, and so on, until one.
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We denote this product as n factorial, and
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in the next video we are going to discuss
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some of its main properties and how these properties
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relate to permutations.
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See you there and thanks for watching.
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