Let S2 denote the 2-dimensional sphere. Define the complex projective line 1 as the quotient space 2 \ {0} / ∼ , where ∼ is the equivalence relation on 2 \ {0} that x ∼ y if x = λy for some λ∈C. Prove that S2 and 1 are homeomorphic.
Let S2 denote the 2-dimensional sphere. Define the complex projective line 1 as the quotient space...
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...
Let V be a Hilbert space. Let S1 and S2 be two hyperplanes in V defined by Let be given. We consider the projection of y onto , i.e., the solution of (1) (a) Prove that is a plane, i.e., if , then for any . (b) Prove that z is a solution of (1) if and only if and (2) (c) Find an explicit solution of (1). ( d) Prove the solution found in part (c) is unique. We...
We were unable to transcribe this imageLet us denote the volume and the surface area of an n-dimensional sphere of adius R as V(OR)-VR and S(R)-S.),respectively (a) Find the relation between V(0) and S 1) (b) Calculate the Gaussian integral 3. (c) Calculate the same integral in spherical coordinates in terms of the gamma function re)-e'd (d) Obtain the closed forms of S,,(1) and V(1) (e) Calculate r5) and S.,0), p.(1) for n-1, 2, 3. (40 points) Let us denote...
For , let have an n-dimensional normal distribution . For any , let denote the vector consisting of the last n-m coordinates of . a. Find the mean vector and variance covariance matrix of b. Show that is a (n-m) dimensional normal random vector. We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this...
Let S 1 be the unit circle with the usual topology, S 1×S 1 be the product space, and define the torus T := [0, 1] × [0, 1]/ ∼ as a quotient space, where ∼ is the equivalence relation that (1, y) ∼ (0, y) for all y ∈ [0, 1] and (x, 0) ∼ (x, 1) for all x ∈ [0, 1]. Prove that S 1 × S 1 and T are homeomorphic. (20 points) Let Sl be...
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
Consider R with the usual Euclidean topology and let I = [0, 1] be the closed unit interval of R with the subspace topology. Define an equivalence relation on R by r ~y if x, y E I and [x] = {x} if x € R – I, where [æ] denotes the equivalence class of x. Let R/I denote the quotient space of equivalence classes, with the quotient topology. Is R/I Hausdorff? Is so, prove so from the definition of...
Let be a map Define the map prove or disprove 2) for all 3) for all A B We were unable to transcribe this imagef(and) = f(c) n (D) CD CA f-1( EF) = f-1(E)f-1(F) We were unable to transcribe this image
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...
Let denote the sample mean of an independent random sample of size 25 from the distribution whose p.d.f. is , 0 < x < 2. Find an approximation of P(1.3 < < 1.6). We were unable to transcribe this imagef (x)- We were unable to transcribe this image