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Linear algebra (Osnabrück 2024-2025)/Part II/Exercise sheet 32



Exercises

The following three exercises show that the concept of orthogonality defined via an inner product coincides with the elementary-geometric concept of orthogonality.

Let V be a 𝕂-vector space, endowed with an inner product ⟨−,−⟩. Show that, for u,v∈V, the equality ‖v+u‖=‖v−u‖ holds if and only if ⟨v,u⟩=0 holds.


Show in an elementary-geometric way that the vectors (ab) and (−ba) in ℝ2 are perpendicular to each other.


Let

v=(a1a2⋮an)∈ℝn

be a vector.

a) Show in an elementary-geometric way that every vector of the form

vij=−ajei+aiej

for i≠j is perpendicular to v.


b) Show that every vector

w=(b1b2⋮bn)∈ℝn

satisying

∑i=1naibi=0

is a linear combination of the vij (and is, therefore, perpendicular to v).


c) Show that a vector w that is perpendicular to v in the elementary-geometric sense fulfills the condition ∑i=1naibi=0.


Determine which of the following vectors in ℝ3 are orthogonal to each other with respect to the standard inner product.

(615),(3−8−2),(0−14),(−54−1).


Determine which of the following vectors in ℂ2 are orthogonal to each other with respect to the standard inner product.

(6−3i−i),(4−7i−9−5i),(13i2+i),(13−1−2i),(13−1+2i).


Let V be a 𝕂-vector space, endowed with an inner product ⟨−,−⟩. Let v∈V be a fixed vector, and a∈𝕂. Show that

{u∈V∣⟨u,v⟩=a}

is an affine subspace of V.


Discuss the relationship between the Pythagorean theorem in the sense of Theorem 32.3 and its elementary-geometric version.


Let V be a vector space over 𝕂, endowed with an inner product ⟨−,−⟩, and let U⊆V be a linear subspace. Show that the orthogonal complement is also a linear subspace of V.


Let V be a vector space over 𝕂, endowed with an inner product ⟨−,−⟩, and let U⊆V be a linear subspace. Let ui, i∈I, be a generating system of U. Show that a vector v∈V belongs to the orthogonal complement U⊥ if and only if

⟨v,ui⟩=0

holds for all i∈I.


Determine the orthogonal complement of the linear subspace in ℝ3 generated by (−289).


Determine the orthogonal complement of the linear subspace in ℝ4 generated by (58−39) and (6203).


Let V be a vector space over 𝕂, endowed with an inner product ⟨−,−⟩. Let vi, i∈I, denote an orthogonal basis of V. For every subset J⊆I, denote the linear subspace generated by vi, i∈J, by UJ. Show that the orthogonal complement of UJ equals UI∖J.


We consider a corner in a (rectangular) room. Do the three diagonal vectors in the two adjacent walls and on the ground of length 1 form an orthonormal basis?


Let V be a finite-dimensional complex vector space, endowed with an inner product ⟨−,−⟩. Let u1,…,un be an orthonormal basis of V. Show that

u1,iu1,u2,iu2,…,un,iun

is an orthonormal basis of the real vector space V with respect to the corresponding real inner product.


Let V be a real vector space, endowed with an inner product ⟨−,−⟩. Let ui, i∈I, denote an orthonormal basis of V. Show that for vektors v=∑i∈Iaiui and w=∑i∈Ibiui, the equality

⟨v,w⟩=∑i∈Iaibi

holds.


The following exercise is the foundation of the so-called Fourier-analysis; its purpose is to represent oscillations as an infinite sum of trigonometric (harmonic) oscillations.

Show that the functions

fm:[0,1]⟶ℂ,

defined by

fm(x):=e2πimx

for m∈ℤ, form, in the space of continuous functions from [0,1] to ℂ, an orthonormal system with respect to the inner product defined by

⟨f,g⟩:=∫01fg‾dx.

Use basic facts about the complex exponential function.


Apply Gram-Schmidt orthonormalization to the basis

(011),(101),(110)

of ℝ3.


Apply Gram-Schmidt orthonormalization to the basis

(210),(10−1),(003)

of ℝ3.


Apply Gram-Schmidt orthonormalization to the basis

(−123),(2−45),(731)

of ℝ3, endowed with the standard inner product.


Apply Gram-Schmidt orthonormalization to the basis

(4−i3),(i2−i)

of ℂ2.


Establish an orthonormal basis of ℝ3 that contains a multiple of (111).


We endow ℝ3 with the standard inner product. Let U⊆ℝ3 be the kernel of the linear mapping

ℝ3⟶ℝ,(x,y,z)⟼3x+y+7z,

endowed with the restricted inner product. Determine an orthonormal basis for U.


We endow ℝ4 with the standard inner product. Let U⊆ℝ4 be the kernel of the linear mapping

ℝ4⟶ℝ,(x,y,z,w)⟼4x−3y+2z−5w.

Determine an orthonormal basis for U.


Formulate and prove the "orthonormal basis completion theorem“.


Let V be a 𝕂-vector space, endowed with an inner product, and let U1,U2⊆V denote linear subspaces. Show that for the orthogonal complements, the equality

(U1∩U2)⊥=U1⊥+U2⊥

holds.


Let V be a 𝕂-vector space, endowed with an inner product ⟨−,−⟩. Show the following statements.

  1. For a linear subspace U⊆U′⊆V, we have
    U⊥⊇U'⊥.
  2. We have 0⊥=V and V⊥=0.
  3. Let V be finite-dimensional. Then we have
    (U⊥)⊥=U.
  4. Let V be finite-dimensional. Then we have
    dimK(U⊥)=dimK(V)−dimK(U).


Let V be a Euclidean vector space. Show that

V⟶V∗,v⟼(w↦⟨v,w⟩),

gives an isomorphy between V and its dual space V∗.


Prove Corollary 32.13 , using Exercise 32.27 and Lemma 15.6 .


Determine the value of the vector (3−5−3)∈ℝ3 under the orthogonal projection to the line generated by (249).


Determine the value of the vector (34−2)∈ℝ3 under the orthogonal projection to the linear subspace generated by (306) and (171).


Let V be a finite-dimensional 𝕂-vector space, endowed with an inner product. Let

U⊆W⊆V

denote linear subspaces. Let pUV denote the orthogonal projection from V to U. Show

pUV=pUW∘pWV.




Hand-in-exercises

Exercise (3 marks)

Determine the orthogonal complement of the linear subspace in ℝ4 generated by (83−6−4) and (4−275).


Exercise (3 (1+1+1) marks)

We consider the complex numbers ℂ with the standard inner product ⟨−,−⟩.

a) Determine for the complex linear subspace of ℂ generated by 4+7i the orthogonal complement with respect to ⟨−,−⟩.


b) Determine for the complex linear subspace of ℂ generated by 4+7i the orthogonal complement with respect to the real part of ⟨−,−⟩ (that is, the corresponding real inner product).


c) Determine for the real linear subspace of ℂ generated by 4+7i the orthogonal complement with respect to the real part of ⟨−,−⟩.


Exercise (5 marks)

Apply Gram-Schmidt orthonormalization to the linearly independent polynomial functions

1,x,x2,x3∈V={f:[0,1]→ℝ∣f continuous}

with respect to the inner product described in Example 31.6 .


Exercise (2 marks)

Apply Gram-Schmidt orthonormalization to the basis

(5−2i3−3i),(6−i−2+4i)

of ℂ2.


Exercise (4 marks)

Determine the value of the vector (768)∈ℝ3 under the orthogonal projection to the linear subspace generated by (225) and (4−13).



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