Linear Algebra II
Exercise Sheet no. 8
Summer term 2011
Prof. Dr. Otto May 30, 2011
Dr. Le Roux Dr. Linshaw
Exercise 1 (Warm-up: orthogonal complement and orthogonal projection)
Let V be a euclidean or unitary vector space of finite dimension, U be a subspace of V and πU : V → U be the orthogonal projection ontoU. Check the following facts.
(a) U⊥is a subspace ofV.
(b) IfBis a basis ofU, thenU⊥={v∈V|v⊥B}. (c) πU is linear, surjective andker(πU) =U⊥. (d) πU◦πU=πU.
(e) For any subspaceW ofV,
π−1U (W) = (U∩W)⊕U⊥.
(f) IfB= (v1, . . . , ,vn)is an orthonormal basis ofU, then
πU(v) =
n
X
i=1
〈vi,v〉vi.
Exercise 2 (Orthogonal complements)
(Exercise 2.3.5 on page 68 of the notes.) LetV be a euclidean or unitary vector space of finite dimension. Moreover, let U,U1,U2be subspaces ofV. Prove the following facts.
(a) U1⊆U2impliesU2⊥⊆U1⊥. (b) (U1+U2)⊥=U1⊥∩U2⊥.
(c) (U⊥)⊥=U.
(d) (U1∩U2)⊥=U1⊥+U2⊥.
Exercise 3 (Stereographic projection)
LetE⊆R3be the plane spanned bye1ande2and letS⊆R3be the sphere with radius1and centre0. We denote the north pole ofSbyp:=e3and we setS∗:=S\ {p}.
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We define a mapπ:E→S∗by lettingπ(x)be the point of intersection betweenS∗and the line passing throughpandx.
(a) Give an explicit formula for π, i.e., find functions f(x,y), g(x,y), and h(x,y) such that π(x,y, 0) = (f(x,y),g(x,y),h(x,y)).
(b) Prove thatπ:E→S∗is a bijection.
(c) LetC⊆Sbe a circle, i.e., the intersection ofSwith a plane given by an equation of the forma x+b y+cz=d.
Prove that the pre-imageπ−1[C]is either also a circle or a line.
(d) Letc:R→Ebe a line with parametric descriptionxe1+tv,t∈R, wherev= (cosα, sinα, 0). Note thatcintersects thee1-axis in the point xe1under the angleα. Prove that the image ofcunderπ, i.e., the curve π◦c:R→S∗, intersects the great circle{(u, 0,v)∈S∗ :u2+v2=1} under the same angleα. (This implies thatπpreserves angles. Such maps are calledconformal.)
(Hint. Find the angle between the tangent vectors of the two curves. The tangent vector of a curvec at the pointc(t0)is given by its derivative d
dtc t
0.) Exercise 4 (Characterisations of orthogonal projections)
(Exercise 2.3.2 on page 68 of the notes.) Letϕbe an endomorphism of a finite dimensional euclidean or unitary vector spaceV.
Show the equivalence of the following:
(a) ϕis an orthogonal projection.
(b) ϕ◦ϕ=ϕandker(ϕ)⊥image(ϕ).
(c) ϕ◦ϕ=ϕandv−ϕ(v)⊥ϕ(v)for allv∈V. (d) v−ϕ(v)⊥image(ϕ)for allv∈V.
Exercise 5 (More on orthogonal projections)
(Exercise 2.3.3 on page 68 of the notes.) Show that the orthogonal projections of ann-dimensional euclidean or unitary vector spaceV are precisely those endomorphismsϕofV that are represented w.r.t. a suitable orthonormal basis by a diagonal matrix with ones and zeroes on the diagonal.
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