Wim Ruitenburg's Fall 2016 MATH 1300-101

Marquette University

Department of Mathematics, Statistics and Computer Science

Wim Ruitenburg's Fall 2016 MATH 1300-101

Last updated: December 2016
Comments and suggestions: Email wim.ruitenburg@marquette.edu

Finite two-player games

We are familiar with all kinds of board games. Chess, checkers, go, and similar games are examples of two-player games with `full information.' Both players can see the full game situation, contrary to many card games where we may not know the hand of cards held by the other player(s). Below are examples of two-player games with `full information'.

Nim

We are given some piles of pennies, at least one pile, but usually several piles. Two players alternatingly must take pennies from the piles, subject to the following rules:

Each player takes at least one penny.
Each player takes pennies from at most one pile.

You win when you empty the last pile so that the (losing) player can not make a next move.
Winning strategy: In class we hinted at writing the number of pennies in each pile in binary notation.

The Game of Nimr

The game of nimr is played on a rectangular board, usually a square board of size 8 by 8, or 9 by 9, or 10 by 10, or 11 by 11. We have two players. Let us call them RED and BLUE. Player RED has one red piece in each column; player BLUE has one blue piece in each column. The red pieces are all below the blue pieces. In other words, the blue pieces are all above the red pieces. The initial setup is essentially random. The following is an example.

8
7
6
5
4
3
2
1

The players alternatingly must move one of their pieces to another position in the same column, between their last row and the piece of the opposing player. A player wins when the other gives up, or when the other can no longer move a piece. In general, the choice of who begins is determined by flipping a coin or so.

In the example position, let us assume that it is RED's turn to move. Then RED could choose to move A1-A4, that is, move the piece in the bottom left corner three fields up. Or move D4-D3, that is, move the fourth red piece one field back. Note that RED can move its piece on field H5 only backwards.
In the example position if, instead, it were BLUE's turn, then he/she could choose to move C7-C4, or choose to move B5-B6. Note that BLUE can move its piece on field H6 only backwards.

For demonstration purposes, let us briefly work with 5 by 5 boards. Consider the following position with RED's turn to make a move.

Obviously, RED cannot move. So BLUE has won the game.

Consider the following position with BLUE's turn to make a move.

BLUE cannot move. So RED has won.

The following woven handiwork is due to Courtney Tarsa:

Winning Strategies for Nimr

The goal of this project is: Develop a relatively easy winning strategy for each of the players, where possible.

First some partial solutions. Consider the following game situation:

The red and blue pieces in each column touch. Let us call such a setup a kissing position. Suppose it is RED's move. Then there is an easy winning strategy for BLUE. Here is how. All that RED can do is, move one of his/her pieces back. For example, RED can move A4-A2. In reply, BLUE follows RED's piece by moving A5-A3. We again have a kissing position with RED having to move. So BLUE has the easy strategy of creating another kissing position, to which RED can only reply by moving back.

If, in the above position, it were BLUE's turn, then there is the same winning strategy for RED. BLUE is forced to make a move backwards. In response, RED follows in the same column, thereby creating a new kissing position to which BLUE must respond by moving back or by giving up. The kissing position becomes an invariant. Whenever BLUE breaks the invariant, RED restores it.

Let us make the problem slightly harder. Suppose all pieces touch in all columns, except one. For example, consider the situation

Suppose it is the turn of RED. Does he/she have a winning strategy? Yes. Move C1-C3. Then we have a kissing position, while it is BLUE's turn to move. We saw before that RED has a winning strategy; BLUE has lost. Suppose, instead, that in the original situation above, it is the turn of BLUE. Then BLUE has a winning strategy: Move C4-C2. Then BLUE has created a kissing position with RED to move.

We have complete winning strategies in case we have a kissing position, and in case we are one move away from a kissing position. What if there are two columns where the opposite pieces are not immediate neighbors? Let us first look at the case where the two gaps are equal, for example as in:

We have two gaps of equal size 3. Suppose it is RED's turn. Then the following is a winning strategy for BLUE. It will not help RED to make a backward move, because BLUE will simply follow in that same column, and preserve the size of the gap. Whichever forward move RED makes in one column, BLUE does essentially the same in the other. For example, suppose RED moves D2-D3. Then BLUE responds by moving C5-C4. The result is two gaps of equal size 2. And so on.

In the two-column case above, suppose instead that it is BLUE's turn. Then RED has a winning strategy by moving forward and restore two equal gaps (or create a kissing position) whenever BLUE makes a move. So two equal columns (or a kissing position) is an invariant. Whenever BLUE makes a move, it must break the invariant. RED can always respond by a forward move which restores the invariant.

Consider the two-columns case where the gaps are not equal as in:

In this example, the two gaps are of sizes 2 and 3. Suppose it is RED's turn. Then RED has a winning strategy as follows. Move D2-D3, and so create the invariant mentioned above: BLUE faces two gaps of equal size, in this case both of size 2. Conversely, if it had been BLUE's move in the situation with gaps of sizes 2 and 3, then BLUE would have won. His/her first move would have been D6-D5.

We now have complete solutions for when there are at most two columns where opposite pieces are not immediate neighbors. What if we have 3 or more non-neighbor columns? Now it gets more mathematical. Below we give the full winning strategy, which contains the special cases mentioned above. Consider the following starting position:

8
7
6
5
4
3
2
1

We assume that it is RED's turn. To compute potential winning moves, we first list the sizes of the gaps between opposing pieces in each column. The example above gives the list of gap numbers

The number of fields between the red piece on A1 and the blue piece on A8 equals 6. The number of fields between the red piece on H5 and the blue piece on H6 equals 0.
Now treat these numbers 6, 3, 3, 2, 1, 4, 5, and 0 as the sizes of piles of pennies in the game of Nim. So 6 is really 110 in binary, and 3 is really 11 in binary, and 5 is really 101 in binary. Follow the winning strategy of Nim to make the total of 1s even, the total of 2s even, the total of 4s even (and if they were there, the total of 8s even). In this example, the total of 1s is already even, the total of 2s is already even, but luckily the total of 4s is odd. So for example move F1-F5. If you prefer a fancier winning move instead, you can also choose move A1-A5, or choose move G2-G6 (or even choose E6-E2 if you like to make your winning game last a little longer).

Example Problem(s)

Write the decimal number 45 into binary.
Write the binary number 101110 into decimal.
Suppose we have two piles of pennies in the game of Nim, of sizes 7 and 12. It is your turn. Give a move that keeps you in a winning position.
Suppose we have three piles of pennies in the game of Nim, of sizes 7 and 12 and 7. It is your turn. Give a move that keeps you in a winning position.
Randomly set up 4 piles of up to 10 pennies. Determine if there is a winning strategy, and if so give a first winning move.
Randomly set up 5 piles of up to 20 pennies. Determine if there is a winning strategy, and if so give a first winning move.