what is null-space in vector space?
In linear algebra, the kernel or null space (also nullspace) of a matrix A is the set of all vectors x for which Ax = 0.
The null space of an m × n matrix is a subspace of Rn. That is, the set Null(A) has the following three properties: Null(A) always contains the zero vector. If x ∈ Null(A) and y ∈ Null(A), then x + y ∈ Null(A). If x ∈ Null(A) and c is a scalar, then c x ∈ Null(A).
nullspace is only for nx1 matrices?
no it is not necessary
null space is for mXn but the answer comes out to be nX1 matriz
In general, if you have two vector spaces V and W, and a homomorphism between them T \[ T : V \to W \] then the null space of T are the vectors in V such that T(v) = 0. Notice the null space is a property of the homomorphism, not an intrinsic property of V.
is null space contain all the solutions of homogeneous system?
what is homomorphism?
yes all sol of homogeneous system will be in null space
whether the solution is trivial or non_trivial?
Does null space contain all the solutions of homogeneous system? Yes what is homomorphism? A function between vector spaces the preserves important vector space properties. You can think of it for now as a matrix
yes trivial and non trivial both
ok now clear another concept please in null space we take matrices of any order but the ans should be nx1 matrix. right?
yes right
and augmented matrices should be homogeneous. we can't take non homogeneous augmented matrix. isn't it?
Join our real-time social learning platform and learn together with your friends!