Suppose A is an n * n matrix and A^2 = A. If an vector v...
Suppose A is an n * n matrix and A^2 = A. If an vector v is in both nulA and ColA, prove that u must be zero vector.
Homework Answers
Let v be the vector that is in nullspace,as well as column space of A
So Av=0. and Ax=v for some vector x
Now Ax=v
Imply A(Ax)=Av
Imply A2x=Av
Imply Ax=Av=0. ( Since A2=A)
Imply Ax=0
Imply v=0 (since Ax=v)
So v is a zero vector and our result is proved.
Prob le m 5 (Bonus 2 points) Let V be a finite dimensional vector space. Suppose that T : V -» V is matrix representati...
Prob le m 5 (Bonus 2 points) Let V be a finite dimensional vector space. Suppose that T : V -» V is matrix representation with respect to every basis of V. Prove that the dimension of linear transform ation that has the same that T must be a scalar multiple of the identity transformation. You can assume V is 3
Prob le m 5 (Bonus 2 points) Let V be a finite dimensional vector space. Suppose that T :...
2. Suppose V is a vector space and U is a subspace. Consider the following statement:...
2. Suppose V is a vector space and U is a subspace. Consider the following statement: dim(U)-dim(V) U = V (a) If dim(V)<oo, is this statement true? If so, prove it. If not, give a counterexample. (b) If dim(V)oo, is this statement true? If so, prove it. If not, give a counterexample.
is an eigenvalue invertible matrix with X as an eigenvalue. Show that of A-1. Suppose v...
is an eigenvalue invertible matrix with X as an eigenvalue. Show that of A-1. Suppose v ER is a nonzero column vector. Let A (a) Show that v is an eigenvector of A correspond zero column vector. Let A be the n xn matrix vvT. n eigenvector of A corresponding to eigenvalue = |v||2. lat O is an eigenvalue of multiplicity n - 1. (Hint: What is rank A?) (b) Show that 0 is an eigenvalue of
Find the steady state probability vector for the matrix. An eigenvector v of an n ×...
Find the steady state probability vector for the matrix. An
eigenvector v of an n × n matrix
A is a steady state probability vector when
Av = v and the
components of v sum to 1.
Find the steady state probability vector for the matrix. An eigenvector v of an n x n matrix A is a steady state probability vector when Av = v and the components of v sum to 1. 0.9 0.4 A = 0.1 0.6
Problem 5 (a) Let A be an n × m matrix, and suppose that there exists a m × n matrix B such that BA = 1- (i) Let b є Rn be such that the system of equations Ax b has at least one solution. Prove that...
Problem 5 (a) Let A be an n × m matrix, and suppose that there exists a m × n matrix B such that BA = 1- (i) Let b є Rn be such that the system of equations Ax b has at least one solution. Prove that this solution must be unique. (ii) Must it be the case that the system of equations Ax = b has a solution for every b? Prove or provide a counterexample. (b) Let...
An n x n matrix is called nilpotent if Ak = 0 (the zero matrix) for...
An n x n matrix is called nilpotent if Ak = 0 (the zero matrix) for some positive integer k. (a) Suppose A is a nilpotent nxn matrix. Prove that is an eigenvalue of A. (b) Must O be the only eigenvalue of A? Either prove or give a counterexample,
Let A be an m × n matrix, let x Rn and let 0 be the zero vector in Rm. (a) Let u, v є Rn be any two solutions of Ax 0,...
Let A be an m × n matrix, let x Rn and let 0 be the zero vector in Rm. (a) Let u, v є Rn be any two solutions of Ax 0, and let c E R. Use the properties of matrix-vector multiplication to show that u+v and cu are also solutions of Ax O. (b) Extend the result of (a) to show that the linear combination cu + dv is a solution of Ax 0 for any c,d...
Problem 3. Let V and W be vector spaces of dimensions n and m, respectively, and let T : V -> V be a linear transfor...
Problem 3. Let V and W be vector spaces of dimensions n and m, respectively, and let T : V -> V be a linear transformation (a) Prove that for every pair of ordered bases B = (Ti,...,T,) of V and C = (Wi, ..., Wm) of W, then exists a unique (B, C)-matrix of T, written A = c[T]g. (b) For each n e N, let Pn be the vector space of polynomials of degree at mostn in the...
(a) Suppose we want to solve the linear vector-matrix equation Ax b for the vector x. Show that the Gauss elimination algorithm may be written bAbm,B where m 1, This process produces a matrix equa...
(a) Suppose we want to solve the linear vector-matrix equation Ax b for the vector x. Show that the Gauss elimination algorithm may be written bAbm,B where m 1, This process produces a matrix equation of the form Ux = g , in which matrix U is an upper-triangular matrix. Show that the solution vector x may be obtained by a back-substitution algorithm, in the form Jekel (b) Iterative methods for solving Ax-b work by splitting matrix A into two...
3. Suppose A is a real square n x n matrix with SVD given by A USVT Using MATLAB's eig and svd, i...
3. Suppose A is a real square n x n matrix with SVD given by A USVT Using MATLAB's eig and svd, investigate how the eigenvalues and eigen- vectors of the real symmetric matrix AT 0 depend on 2, U and V. Try a random matrix with n 2 to get started. Once you see the relationship, state it carefully, without proof. 4. (This is a continuation of the previous question.) Prove the property that you observed in the previous...
Prob le m 5 (Bonus 2 points) Let V be a finite dimensional vector space. Suppose that T : V -» V is matrix representation with respect to every basis of V. Prove that the dimension of linear transform ation that has the same that T must be a scalar multiple of the identity transformation. You can assume V is 3
Prob le m 5 (Bonus 2 points) Let V be a finite dimensional vector space. Suppose that T :...
2. Suppose V is a vector space and U is a subspace. Consider the following statement: dim(U)-dim(V) U = V (a) If dim(V)<oo, is this statement true? If so, prove it. If not, give a counterexample. (b) If dim(V)oo, is this statement true? If so, prove it. If not, give a counterexample.
is an eigenvalue invertible matrix with X as an eigenvalue. Show that of A-1. Suppose v ER is a nonzero column vector. Let A (a) Show that v is an eigenvector of A correspond zero column vector. Let A be the n xn matrix vvT. n eigenvector of A corresponding to eigenvalue = |v||2. lat O is an eigenvalue of multiplicity n - 1. (Hint: What is rank A?) (b) Show that 0 is an eigenvalue of
Find the steady state probability vector for the matrix. An
eigenvector v of an n × n matrix
A is a steady state probability vector when
Av = v and the
components of v sum to 1.
Find the steady state probability vector for the matrix. An eigenvector v of an n x n matrix A is a steady state probability vector when Av = v and the components of v sum to 1. 0.9 0.4 A = 0.1 0.6
Problem 5 (a) Let A be an n × m matrix, and suppose that there exists a m × n matrix B such that BA = 1- (i) Let b є Rn be such that the system of equations Ax b has at least one solution. Prove that this solution must be unique. (ii) Must it be the case that the system of equations Ax = b has a solution for every b? Prove or provide a counterexample. (b) Let...
An n x n matrix is called nilpotent if Ak = 0 (the zero matrix) for some positive integer k. (a) Suppose A is a nilpotent nxn matrix. Prove that is an eigenvalue of A. (b) Must O be the only eigenvalue of A? Either prove or give a counterexample,
Let A be an m × n matrix, let x Rn and let 0 be the zero vector in Rm. (a) Let u, v є Rn be any two solutions of Ax 0, and let c E R. Use the properties of matrix-vector multiplication to show that u+v and cu are also solutions of Ax O. (b) Extend the result of (a) to show that the linear combination cu + dv is a solution of Ax 0 for any c,d...
Problem 3. Let V and W be vector spaces of dimensions n and m, respectively, and let T : V -> V be a linear transformation (a) Prove that for every pair of ordered bases B = (Ti,...,T,) of V and C = (Wi, ..., Wm) of W, then exists a unique (B, C)-matrix of T, written A = c[T]g. (b) For each n e N, let Pn be the vector space of polynomials of degree at mostn in the...
(a) Suppose we want to solve the linear vector-matrix equation Ax b for the vector x. Show that the Gauss elimination algorithm may be written bAbm,B where m 1, This process produces a matrix equation of the form Ux = g , in which matrix U is an upper-triangular matrix. Show that the solution vector x may be obtained by a back-substitution algorithm, in the form Jekel (b) Iterative methods for solving Ax-b work by splitting matrix A into two...
3. Suppose A is a real square n x n matrix with SVD given by A USVT Using MATLAB's eig and svd, investigate how the eigenvalues and eigen- vectors of the real symmetric matrix AT 0 depend on 2, U and V. Try a random matrix with n 2 to get started. Once you see the relationship, state it carefully, without proof. 4. (This is a continuation of the previous question.) Prove the property that you observed in the previous...
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