Matrix distribution into two vectors that build similiar matrix as a vector product

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Hello,
i want to split up a matrix into two vectors. If i build the vector product of those vectors a similiar matrix compared to the original one should emerge. This should be an optimization problem, but i don't know where to start.
Furthermore the solution should not be an iterative one.
Thank you guys a lot!

回答(1 个)

Torsten
Torsten 2022-10-26
But you already got the answer for the two vectors a and b and the resulting approximating matrix C:
[u s v] = svd(M);
n = 1; % initially
a = n*u(:,1);
b = (s(1,1)/n)*v(:,1);
C = a*b'
  2 个评论
Henning Schmitz
Henning Schmitz 2022-10-26
No this does not work unfortunately for a random matrix.
for example:
M2D = rand(4,4)
n = 5;
[u s v] = svd(M2D);
ax_test = n*u(:,1);
ay_test = (s(1,1)/n)*v(:,1);
M2D_test = ax_test*ay_test';
It just works (very good) if the matrix (M2D) is made as product of two vectors.
Torsten
Torsten 2022-10-26
It's the best reconstruction for M2D that you can get from two vectors. You can't expect a perfect equality (M2D = a*b') since rank(a*b') = 1 whereas rank(M2D) = 4 usually.

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