8 challenging problems covering orthogonalization, linear systems, similarity, and inner product spaces
Let be a non-zero real constant. Let be an -th order matrix satisfying:
for all
for all
for all
All other elements are 0.
Prove that .
Given vectors in :
(I):
(1) Prove that vector group (I) is a basis of ;
(2) Use the Gram-Schmidt orthogonalization method to transform basis (I) into an orthonormal basis (II);
(3) Find the transition matrix from basis (II) to basis (I).
Let be real constants. Solve the linear system:
Let be real constants. It is known that matrix
is similar to matrix .
(1) Find the values of and ;
(2) Find an invertible matrix such that .
Let be positive integers. Let be an real matrix and be a real matrix.
Define , where is the -dimensional zero column vector.
(1) Prove that is a subspace of ;
(2) If and , find .
Given the real quadratic form:
Find the canonical form of this quadratic form, and determine its rank and positive index of inertia.
(1) State the Frobenius inequality for ranks of three -th order matrices ;
(2) Let be an -th order real matrix. Prove that:
①
②
(1) Let be -th order real symmetric matrices with positive definite. Prove that is diagonalizable;
(2) Let be an -th order real orthogonal matrix. Given that is invertible, prove that:
① The matrix equation has a solution
② The solution in ① is a real skew-symmetric matrix