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...