1. let V be a vector space and T an operator on V (i.e., a
linear map T: V--> V). Suppose that T^2 - 5T +6I = 0, where I is
the identity operator and 0 stands for the zero operator
...
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1. let V be a vector space and T an operator on V (i.e., a linear map T: V--> V). Suppose that T^2 - 5T +6I = 0, wher...
Linear Aljebra Let B = {vy, V2, V3) be a basis for R in which we...
Linear Aljebra
Let B = {vy, V2, V3) be a basis for R in which we have and V3 Also, let TR-R be the linear operator such that: T(v.) = T(v2) and T(v.) = -0 X1 Part (a): Find a formula for T X₂ X, Answer: T X2 -0 [Ogg 912 943 = A x2 where A = 421 422 423 х3 231 232 233 Xz 0 } then find the following: Now let the vector w= Part (b): Find...
Let T be a linear operator on F2. Prove that if v f 0 is not...
Let T be a linear operator on F2. Prove that if v f 0 is not an eigenvector for T, then v is a cyclic vector for T. Conclude that either T has a cyclic vector T is a scalar multiple of the identity.
Let V be a finite-dimensional vector space and let T L(V) be an operator. In this problem you sh...
Let V be a finite-dimensional vector space and let T L(V) be an operator. In this problem you show that there is a nonzero polynomial such that p(T) = 0. (a) What is 0 in this context? A polynomial? A linear map? An element of V? (b) Define by . Prove that is a linear map. (c) Prove that if where V is infinite-dimensional and W is finite-dimensional, then S cannot be injective. (d) Use the preceding parts to prove...
Exercise 12.6.3 Let V and W be finite dimensional vector spaces over F, let U be a subspace of V and let α : V-+ W be a surjective linear map, which of the following statements are true and which...
Exercise 12.6.3 Let V and W be finite dimensional vector spaces over F, let U be a subspace of V and let α : V-+ W be a surjective linear map, which of the following statements are true and which may be false? Give proofs or counterexamples O W such that β(v)-α(v) if v E U, and β(v) (i) There exists a linear map β : V- otherwise (ii) There exists a linear map γ : W-> V such that...
Let V be a finite-dimensional inner product space. For an operator TEL(V), define its norm by...
Let V be a finite-dimensional inner product space. For an operator TEL(V), define its norm by ||T|:= max{||Tull VEV. ||0|| = 1}. (1) To explain this, note that {l|Tu ve V, || 0 || = 1} is a non-empty subset of [0,00). The expression max{||TV|| | V EV, ||0|| = 1} means the maximum, or largest, value in this set. In words, the norm of an operator describes the maximal amount that it 'stretches' (or shrinks) vectors. (a) (1 point)...
please answer in details , with clear handwritten, 3. Let T: V- V be a linear...
please answer in details , with clear handwritten,
3. Let T: V- V be a linear transformation on a 3-dimensional vector space V, with basis B- (v,2, v3 ff TW C w. A subspace W CV is invariant under T' 1 (a) Prove that if W and W2 are invariant subspaces under T, then Winw2 and Wi+W2 are invariant under T. (b) Find conditions a matrix representation Ms (T) such that the following subspaces are invariant under T span vspan...
Problem 4. Let V be a vector space and let T : V → V and U : V → V be two linear transforinations...
I need the answer to problem 6
Clear and step by step please
Problem 4. Let V be a vector space and let T : V → V and U : V → V be two linear transforinations 1. Show that. TU is also a linear transformation. 2. Show that aT is a linear transformation for any scalar a. 3. Suppose that T is invertible. Show that T-1 is also a linear transformation. Problem 5. Let T : R3 →...
4. Let TV - V be a linear operator on a finite dimensional inner product space...
4. Let TV - V be a linear operator on a finite dimensional inner product space V and P be the orthogonal projection of V onto the subspace W of V. a) Show that is invariant under T if and only if PTP = TP. b) Show that w and we are both invariant under 7 If and only if PT = TP
17] Let V be an n-dimensional real vector space. An inner product on V is a map g : V × V → R sat...
17] Let V be an n-dimensional real vector space. An inner product on V is a map g : V × V → R satisfying the following propertics The map g is bilinear. That is, for all v, v1, V2, w, w1, W2 CV and all t1,2 ER The map g is symmetric. That is, g(v, w) g(w, v) for all v, weV. The map g is positive definite. That is, g(v,v) 0 for a v e V with equality...
-/1 points v LARLINALG8 4.2.001. Describe the zero vector (the additive identity) of the vector space....
-/1 points v LARLINALG8 4.2.001. Describe the zero vector (the additive identity) of the vector space. Need Help? Read It Talk to a Tutor - 1 points v LARLINALG8 4.2.003. Describe the zero vector (the additive identity) of the vector space. M4,3 Need Help? Read It Watch It Talk to a Tutor -14 points v LARLINALG8 4.2.005. Describe the zero vector (the additive identity) of the vector space. P3 x + Need Help? Read It Talk to a Tutor x2...
Linear Aljebra
Let B = {vy, V2, V3) be a basis for R in which we have and V3 Also, let TR-R be the linear operator such that: T(v.) = T(v2) and T(v.) = -0 X1 Part (a): Find a formula for T X₂ X, Answer: T X2 -0 [Ogg 912 943 = A x2 where A = 421 422 423 х3 231 232 233 Xz 0 } then find the following: Now let the vector w= Part (b): Find...
Let T be a linear operator on F2. Prove that if v f 0 is not an eigenvector for T, then v is a cyclic vector for T. Conclude that either T has a cyclic vector T is a scalar multiple of the identity.
Exercise 12.6.3 Let V and W be finite dimensional vector spaces over F, let U be a subspace of V and let α : V-+ W be a surjective linear map, which of the following statements are true and which may be false? Give proofs or counterexamples O W such that β(v)-α(v) if v E U, and β(v) (i) There exists a linear map β : V- otherwise (ii) There exists a linear map γ : W-> V such that...
Let V be a finite-dimensional inner product space. For an operator TEL(V), define its norm by ||T|:= max{||Tull VEV. ||0|| = 1}. (1) To explain this, note that {l|Tu ve V, || 0 || = 1} is a non-empty subset of [0,00). The expression max{||TV|| | V EV, ||0|| = 1} means the maximum, or largest, value in this set. In words, the norm of an operator describes the maximal amount that it 'stretches' (or shrinks) vectors. (a) (1 point)...
please answer in details , with clear handwritten,
3. Let T: V- V be a linear transformation on a 3-dimensional vector space V, with basis B- (v,2, v3 ff TW C w. A subspace W CV is invariant under T' 1 (a) Prove that if W and W2 are invariant subspaces under T, then Winw2 and Wi+W2 are invariant under T. (b) Find conditions a matrix representation Ms (T) such that the following subspaces are invariant under T span vspan...
I need the answer to problem 6
Clear and step by step please
Problem 4. Let V be a vector space and let T : V → V and U : V → V be two linear transforinations 1. Show that. TU is also a linear transformation. 2. Show that aT is a linear transformation for any scalar a. 3. Suppose that T is invertible. Show that T-1 is also a linear transformation. Problem 5. Let T : R3 →...
4. Let TV - V be a linear operator on a finite dimensional inner product space V and P be the orthogonal projection of V onto the subspace W of V. a) Show that is invariant under T if and only if PTP = TP. b) Show that w and we are both invariant under 7 If and only if PT = TP
17] Let V be an n-dimensional real vector space. An inner product on V is a map g : V × V → R satisfying the following propertics The map g is bilinear. That is, for all v, v1, V2, w, w1, W2 CV and all t1,2 ER The map g is symmetric. That is, g(v, w) g(w, v) for all v, weV. The map g is positive definite. That is, g(v,v) 0 for a v e V with equality...
-/1 points v LARLINALG8 4.2.001. Describe the zero vector (the additive identity) of the vector space. Need Help? Read It Talk to a Tutor - 1 points v LARLINALG8 4.2.003. Describe the zero vector (the additive identity) of the vector space. M4,3 Need Help? Read It Watch It Talk to a Tutor -14 points v LARLINALG8 4.2.005. Describe the zero vector (the additive identity) of the vector space. P3 x + Need Help? Read It Talk to a Tutor x2...
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