An Introduction to Invariant Subspaces Using a Cube
![]() Let be a vector in , where each component is the value on a face of the cube. It is easy to define the linear transformation that represents a turn. The vector space can be decomposed into three -invariant subspaces: = { | all faces have the same value}, ={ | the sum of all faces is zero and opposite faces have the same value}, and ={ | the sum of all faces is zero and opposite faces also sum to zero}. Examining the action of on each subspace makes the reasons for the convergence to the average value clear.![]() "An Introduction to Invariant Subspaces Using a Cube" from The Wolfram Demonstrations Project http://demonstrations.wolfram.com/AnIntroductionToInvariantSubspacesUsingACube/ Contributed by: Keith Schneider | ||||||||||||||
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