Algebra.Com's Answer #753972 by ikleyn(52803)  You can put this solution on YOUR website! .\r \n" );
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document.write( " Unfortunately, I don't know, what exactly is your level in Linear Algebra.\r \n" );
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document.write( " Nevertheless, I will try to explain the solution in simple terms.\r \n" );
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document.write( "You have a linear map (operator) T from a finite-dimensional linear space V to itself.\r\n" );
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document.write( "rank(T) is the dimension of the image of the space V under this transformation.\r\n" );
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document.write( " are the degrees of the operator T, what you can interpret as sequential iterations of T.\r\n" );
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document.write( "Then it is clear that can not rise up. \r\n" );
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document.write( "It only can go down - not necessary strictly down at each step/iteration.\r\n" );
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document.write( "Not necessary in monotonic way down. But not rise up, in any case.\r\n" );
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document.write( "There are two typical examples.\r\n" );
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document.write( "One example is when the matrix of T is zero everywhere, except one diagonal above the major diagonal.\r\n" );
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document.write( " In this case, decreases monotonically at each step/iteration till 0 (zero) \r\n" );
document.write( " after n iterations, where n = dim(V).\r\n" );
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document.write( "The other example is an operator of projection to a subspace. Than stabilizes on some positive value at some step.\r\n" );
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document.write( " (and this value is, OBVIOUSLY, the dimension of the image of T).\r\n" );
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document.write( "So, after my explanations, n.1 is just proved/explained (using my fingers).\r\n" );
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document.write( "n.2 also becomes evident now, meaning stabilization of values of .\r\n" );
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document.write( " This stabilization can be achieved at some positive value of , or at the zero value \r\n" );
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document.write( " (which means then that the operator T and its matrix is/are nilpotent).\r\n" );
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