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Справка Scilab >> Linear Algebra > Kernel > range


range (span) of A^k





real square matrix




orthonormal real matrix


integer (dimension of subspace)


Computation of Range A^k ; the first dim rows of X span the range of A^k. The last rows of X span the orthogonal complement of the range. X*X' is the Identity matrix


A=rand(4,2)*rand(2,4);   // 4 column vectors, 2 independent.
[X,dim]=range(A,1);dim   // compute the range

y1=A*rand(4,1);          //a vector which is in the range of A
y2=rand(4,1);            //a vector which is not  in the range of A
norm(X(dim+1:$,:)*y1)    //the last entries are zeros, y1 is in the range of A
norm(X(dim+1:$,:)*y2)    //the last entries are not zeros

I=X(1:dim,:)'            //I is a basis of the range
coeffs=X(1:dim,:)*y1     // components of y1 relative to the I basis

norm(I*coeffs-y1)        //check

See also

  • fullrfk — full rank factorization of A^k
  • rowcomp — row compression, range

Used Functions

The range function is based on the rowcomp function which uses the svd decomposition.

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Last updated:
Mon Feb 12 20:08:35 CET 2018