linear algebra - What is most efficient way to convert system of equations to collection of functions?
I have the type of system M.x = b, where M is a known matrix and b is a known vector. M contains many parameters, call the entire parameter set 'a', so M => M[a].
I want to be able to efficiently evaluate x[a], i.e. x[a] is now a collection of functions with variables/parameters 'a'. How to do this in an optimal way?
The system can become very large, so that (symbolic) evaluation of LinearSolve[M,b] will take a long time. Also note that x can have many elements, and one could be interested in just evaluating x[[i]] in which case it is redundant to evaluate all the other elements of x.
EDIT
the system can e.g. be defined by:
b = {1, 0, 0, 0, 0, 0, 0, 0, 0, 0}
M = {{1, 0, 0, 0, 1, 0, 0, 0, 1}, {-c21 - c31, 0, -I omge, 0, c12, 0,
I Conjugate[omge], 0, c13}, {0,
I (-dge + dse) - c1/4 - c12/2 - c2/4 - c21/2 - c31/2 - c32/
2, -I omse, 0, 0, 0, 0, I Conjugate[omge],
0}, {-I Conjugate[omge], -I Conjugate[omse], -I dge - c1/4 - c13/2 -
c21/2 - c23/2 - c3/4 - c31/2, 0, 0, 0, 0, 0,
I Conjugate[omge]}, {0, 0,
0, -I (-dge + dse) - c1/4 - c12/2 - c2/4 - c21/2 - c31/2 - c32/2,
0, -I omge, I Conjugate[omse], 0, 0}, {c21, 0, 0,
0, -c12 - c32, -I omse, 0, I Conjugate[omse], c23}, {0, 0,
0, -I Conjugate[omge], -I Conjugate[omse], -I dge - I (-dge + dse) -
c12/2 - c13/2 - c2/4 - c23/2 - c3/4 - c32/2, 0, 0,
I Conjugate[omse]}, {I omge, 0, 0, I omse, 0, 0,
I dge - c1/4 - c13/2 - c21/2 - c23/2 - c3/4 - c31/2,
0, -I omge}, {0, I omge, 0, 0, I omse, 0, 0,
I dge + I (-dge + dse) - c12/2 - c13/2 - c2/4 - c23/2 - c3/4 - c32/
2, -I omse}, {c31, 0, I omge, 0, c32,
I omse, -I Conjugate[omge], -I Conjugate[omse], -c13 - c23}}
Answer
Exploring the above matrix M we get Dimensions[M]=={10,9}
.
Also MatrixRank[M]==9
and MatrixRank[M[[1 ;; 9]]]==9
so we transform the system to a square system:
M = M[[1 ;; 9]];
b = b[[1 ;; 9]];
det = Det[M];
then simply calculating determinants we obtain the xi
solvefor[i_] := Module[{B},
B = M; B[[All, i]] = b;
Det[B]/det]
example : solvefor[1]
solves for x1
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