Can Zeroing a Variable Simplify Matrix Equations?

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Zeroing a variable in a matrix equation can simplify the system by allowing the elimination of the corresponding row and column in the stiffness matrix. When one unknown is known to be zero, it reduces the number of equations needed to solve for the remaining unknowns from n to n-1. This approach streamlines the solution process, as the matrix system now represents fewer linear equations. The choice of which equations to retain can be strategic, depending on the specific problem context. Overall, this method enhances efficiency in solving matrix equations.
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|F1| |K11 K12 K13| |U1|
|F2| = |K21 K22 K23| * |U2|
|F3| |K31 K32 K33| |U3|



I have the above matrix relating F K AND U .

In this F & k are known but u is unknown

Suppose i know U(i) is equal to 0 can i eliminate the ith row and jth column of the K matrix and solve the remaining. How this can be understood.
 
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You can understand it this way. Your matrix system represents a set of n linear equations in n unknowns. If the value of one of the unknowns is "discovered" then you need only n-1 equations to resolve the remaining unknowns. Obviously, the column corresponding to the resolved value can be eliminated if the value is 0. You get to pick which of the two remaining equations to keep.
 
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