Problem 1E: If T is a linear transformation from n to n suchthat T(e1),T(e2),...,T(en) are all unit vectors,... Problem 2E: If A is an invertible matrix, then the equation (AT)1=(A 1)T must hold. Problem 3E Problem 4E Problem 5E Problem 6E Problem 7E: All nonzero symmetric matrices are invertible. Problem 8E Problem 9E: If u is a unit vector in n , and L=span(u) , then projL(x)=(xu)x for all vectors x in n . Problem 10E Problem 11E Problem 12E Problem 13E: If matrix A is orthogonal, then AT must be orthogonalas well. Problem 14E: If A and B are symmetric nn matrices, then AB mustbe symmetric as well. Problem 15E Problem 16E: If A is any matrix with ker(A)={0} , then the matrix AAT represents the orthogonal projection onto... Problem 17E: If A and B are symmetric nn matrices, then ABBAmust be symmetric as well. Problem 18E Problem 19E Problem 20E Problem 21E Problem 22E Problem 23E Problem 24E Problem 25E Problem 26E Problem 27E Problem 28E: If A is a symmetric matrix, vector v is in the image of A,and w is in the kernel of A, then the... Problem 29E: The formula ker(A)=ker(ATA) holds for all matrices A. Problem 30E Problem 31E Problem 32E Problem 33E: If A is an invertible matrix such that A1=A , then Amust be orthogonal. Problem 34E Problem 35E: The formula (kerB)=im(BT) holds for all matrices B. Problem 36E: The matrix ATA is symmetric for all matrices A. Problem 37E: If matrix A is similar to B and A is orthogonal, then Bmust be orthogonal as well. Problem 38E Problem 39E: If matrix A is symmetric and matrix S is orthogonal, then matrix S1AS must be symmetric. Problem 40E: If A is a square matrix such that ATA=AAT , then ker(A)=ker(AT) . Problem 41E: Any square matrix can be written as the sum of a symmetric and a skew-symmetric matrix. Problem 42E: If x1,x2,...,xn are any real numbers, then theinequality ( k=1 n x k )2nk=1n(xk2) must hold. Problem 43E: If AAT=A2 for a 22 matrix A, then A must besymmetric. Problem 44E: If V is a subspace of n and x is a vector in n , thenthe inequality x(projVx)0 must hold. Problem 45E: If A is an nn matrix such that Au=1 for all unitvectors u , then A must be an orthogonal matrix. Problem 46E: If A is any symmetric 22 matrix, then there must exist a real number x such that matrix AxI2 fails... Problem 47E: There exists a basis of 22 that consists of orthogonalmatrices. Problem 48E: If A=[1221] , then the matrix Q in the QR factorization of A is a rotation matrix. Problem 49E: There exists a linear transformation L from 33 to 22 whose kernel is the space of all skew-symmetric... Problem 50E: If a 33 matrix A represents the orthogonal projectiononto a plane V in 3 , then there must exist an... format_list_bulleted