Suppose is a finite dimensional vector space. For hyperplanes in say they are linearly independent provided the corresponding linear subspaces in are linearly independent. Set and show that are linearly independent if and only if . (Hint: Write for and consider by ).
Suppose is a finite dimensional vector space. For hyperplanes in say they are linearly independent provided...
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...
Definition: The vector space is called the direct sum of and if and are subspaces of such that and We denote that is the direct sum of and by writing . Now, suppose that is a vector space over a field and is a linear transformation with distinct eigenvalues . Show that , where is the eigenspace of , if and only if is diagonalizable. We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable...
Note: In the following, if is a set and both and are positive integers, then matrices with entries from . The problem below has many applications. If is a linear map from complex vector space to itself, and is an eigenvalue of , then is a simple eigenvalue of if . 1. Suppose is a vector space of dimension over field where you may assume that is either or , and let be a linear map from to . Show...
3.[4p] (a) In the following questions assume that a linear operator acts from a finite- dimensional linear space X to X, and assume that the word "vector means an element of X. Recall that a vector a is a pre-image of a vector y (and y is the image of x) for a linear operator A: X -> X, if Ax-y. How many of the following statements are true? (i) A linear operator maps a basis into a basis. (ii)...
Let V be a finite dimensional inner product space, w1,w2V. Let TL(V) and Tv=<v,w1>w2 for all vV. Find all eigenvalues and the corresponding eigenspaces of T. Please provide full solution. We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Q-) Let F be an object ond V is a finite dimensional vector Space on the object. . that if v is linear trons formation, ronkt is zero a) Show or 1. b) If Liv> v is linear tronsformation, show that ker L c ker L² and L(v) 2 L² (v). ( Note : L²=LoL and ker L, be defined as subspace of L.).
3. Let V be a finite dimensional vector space with a positive definite scalar product. Let A: V-> V be a symmetric linear map. We say that A is positive definite if (Av, v) > 0 for all ve V and v 0. Prove: (a) if A is positive definite, then all eigenvalues are > 0. (b) If A is positive definite, then there exists a symmetric linear map B such that B2 = A and BA = AB. What...
QUESTION 8 Let V = U ㊥ W where V is a finite-dimensional vector space over a field F, and U and w are subspaces of V. Suppose U1 and U2 are subspaces of U and Wi and W2 are subspaces of W Show that QUESTION 8 Let V = U ㊥ W where V is a finite-dimensional vector space over a field F, and U and w are subspaces of V. Suppose U1 and U2 are subspaces of U...
Let V be a finite-dimensional complex vector space and let T from V to V be a linear transformation. Show that V is the direct sum of U and W where W and U are T-invariant subspaces and the restriction of T on U is nilpotent and the restriction of T on W is an isomorphism.
Let V and W be finite dimensional vector spaces and let T:V → W be a linear transformation. We say a linear transformation S :W → V is a left inverse of T if ST = Iy, where Iy denotes the identity transformation on V. We say a linear transformation S:W → V is a right inverse of T if TS = Iw, where Iw denotes the identity transformation on W. Finally, we say a linear transformation S:W → V...