a) Note that , and is orthogonal to . Thus, a unit normal to is
Therefore, the distance is the length of the projection of on , showing that
b) Note that implies and are orthogonal; in particular, iff and are orthogonal. The space has unit normal vectors
Therefore, the distance is the length of the projection of on any of these vectors, showing that
c) Note that implies and are orthogonal; in particular, iff and are orthogonal. The space has unit normal vectors
Therefore, the distance is the length of the projection of on any of these vectors, showing that
d) From the previous parts, we get
and
Therefore,
Problem 3: Let r be given n mutually orthogonal vectors in Rn, and ro E R...
Problem 3: Let xi be given n mutually orthogonal vectors in Rn, and 20 є Rn be also given. Find: (a) the distance di from Zo to Hi-{x E Rn : XTXǐ (b) the distance sk from ro to n1Hi, 1 <k< n (c) the distance mk from a'0 to ngk+1H,, 1-K n (d) calculate sk + mk 0) Problem 3: Let xi be given n mutually orthogonal vectors in Rn, and 20 є Rn be also given. Find: (a)...
multi and optimization, please help Problem 3: Let ri be given n mutually orthogonal vectors in R", and zo E R" be also given. Find (a) the distance di from zo to H, := {TE Rn : ХТХǐ (b) the distance sk from zo to tiHi, 1-k < n (c) the distance mk from xo to k+iHi,1 S k < n (d) calculate sk + mk. 0) Problem 3: Let ri be given n mutually orthogonal vectors in R", and...
Let {v1, ..., vk} ⊂ R n be nonzero mutually orthogonal vectors (i.e. every vector in the set is orthogonal to every other vector in the set) and define the n × k matrix A = [ v1 · · · vk ] . Show that the only solution to Ax = 0 is the trivial solution.
A square matrix E∈Mn×n(R) is idempotent if E2=E. It is symmetric if E = tE. (a) Let V⊆Rn be a subspace of Rn, and consider the orthogonal projection projV:Rn→Rn onto V. Show that the representing matrix E = [projV]EE of proj V relative to the standard basis E of Rn is both idempotent and symmetric. (b) Let E∈Mn×n(R) be a matrix that is both idempotent and symmetric. Show that there is a subspace V⊆Rn such that E= [projV]EE. [Hint: What...
Problem statement: Prove the following: Theorem: Let n, r, s be positive integers, and let v1, . . . , vr E Rn and wi, . . . , w, є Rn. If wi є span {v1, . . . , vr} for each i = 1, . . . , s, then spanfVi, . .., v-) -spanfvi, . .., Vr, W,...,w,) Suggestiorn: To see how the proof should go, first try the case s - 1, r 2..] Problem...
Problem 4. Let n E N. We consider the vector space R” (a) Prove that for all X, Y CR”, if X IY then Span(X) 1 Span(Y). (b) Let X and Y be linearly independent subsets of R”. Prove that if X IY, then X UY is linearly independent. (C) Prove that every maximally pairwise orthogonal set of vectors in R” has n + 1 elements. Definition: Let V be a vector space and let U and W be subspaces...
(3) Let m,n E N. Let p(x), i -1, ..., m, be polynomials with real coefficients in the variables -(x,..., rn). Prove that pi(r) p(a) Un (r)」 is a continuously differentiable map from R" to R". (Suggestion: Use Theorem 9.21.) (3) Let m,n E N. Let p(x), i -1, ..., m, be polynomials with real coefficients in the variables -(x,..., rn). Prove that pi(r) p(a) Un (r)」 is a continuously differentiable map from R" to R". (Suggestion: Use Theorem 9.21.)
Problem 6. Let E be the plane: 2xi- x2 x3 = 0, and let P R3R3 be the orthogonal _ projection onto the plane E. Let v 1 (1) What are the image and kernel of P? What is the rank of P? Give a geometric descrip- tion, without relying (2) Give four different vectors e R3 such that Px Pv. (Again, solve geometrically and do not use the matrix of P.) (3) Find Pv (4) Find the reflection of...
Question 8 (Chapters 6-7) 12+2+2+3+2+4+4-19 marks] Let 0メS C Rn and fix E S. For a E R consider the following optimization problem: (Pa) min a r, and define the set K(S,x*) := {a E Rn : x. is a solution of (PJ) (a) Prove that K(S,'). Hint: Check 0 (b) Prove that K(S, r*) is a cone. (c) Prove that K(S,) is convex d) Let S C S2 and fix eS. Prove that K(S2, ) cK(S, (e) Ifx. E...
Let A be n × n with AT-A. (The matrix A is syrnmetric.) Let B be 1 × n and let c E R. Define f : Rn → R by f(x) = 2.7, A . x + B . x + c. Show that The function f is a quadratic function Let A be n × n with AT-A. (The matrix A is syrnmetric.) Let B be 1 × n and let c E R. Define f : Rn...