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Grassmann Algebra

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TheExteriorProduct.nb 32<br />

2.9 Solution of Linear Equations<br />

<strong>Grassmann</strong>'s approach to solving linear equations<br />

Because of its encapsulation of the properties of linear independence, <strong>Grassmann</strong> was able to<br />

use the exterior product to present a theory and formulae for the solution of linear equations<br />

well before anyone else.<br />

Suppose m independent equations in n (m £ n) unknowns xi :<br />

a11�x1 � a12�x2 � � � a1�n�xn � a1<br />

a21�x1 � a22�x2 � � � a2�n�xn � a2<br />

� � � � �<br />

am1�x1 � am2�x2 � � � amn�xn � am<br />

Multiply these equations by e1 , e2 , �, em respectively and define<br />

Ci � a1�i�e1 � a2�i�e2 � � � ami�em<br />

C0 � a1�e1 � a2�e2 � � � am �em<br />

The Ci and C0 are therefore 1-elements in a linear space of dimension m.<br />

Adding the resulting equations then gives the system in the form:<br />

x1�C1 � x2�C2 � � � xn�Cn � C0<br />

To obtain an equation from which the unknowns xi have been eliminated, it is only necessary<br />

to multiply the linear system through by the corresponding Ci .<br />

If m = n and a solution for xi exists, it is obtained by eliminating x1 , �, xi�1 , xi�1 , �, xn ;<br />

that is, by multiplying the linear system through by C1 � � � Ci�1 � Ci�1 � � � Cn :<br />

xi Ci � C1 � � � Ci�1 � Ci�1 � � � Cn � C0 � C1 � � � Ci�1 � Ci�1 � � � Cn<br />

Solving for x i gives:<br />

xi � C0 ��C1 � � � Ci�1 � Ci�1 � � � Cn�<br />

�������������������������������� �������������������������������� �������������<br />

Ci ��C1 � � � Ci�1 � Ci�1 � � � Cn�<br />

In this form we only have to calculate the (nÐ1)-element C1 � � � Ci�1 � Ci�1 � � � Cn once.<br />

An alternative form more reminiscent of Cramer's Rule is:<br />

2001 4 5<br />

2.31<br />

2.32

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