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Mathematics for Applied Sciences (Osnabrück 2023-2024)/Part I/Exercise sheet 24

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Exercises

Determine the transformation matrices M𝔳𝔲 and M𝔲𝔳, for the standard basis 𝔲, and the basis 𝔳 in 4, which is given by

v1=(0010),v2=(1000),v3=(0001),v4=(0100).


Determine the transformation matrices M𝔳𝔲 and M𝔲𝔳 for the standard basis 𝔲 and the basis 𝔳 of 3 that is given by the vectors

v1=(451),v2=(238), and v3=(573)


Let 𝔳=v1,v2,v3 be a basis of a three-dimensional K-vector space V.

a) Show that 𝔴=v1,v1+v2,v2+v3 is also a basis of V.

b) Determine the transformation matrix M𝔳𝔴.

c) Determine the transformation matrix M𝔴𝔳.

d) Compute the coordinates with respect to the basis 𝔳 for the vector, which has the coordinates (489) with respect to the basis 𝔴.

e) Compute the coordinates with respect to the basis 𝔴 for the vector, which has the coordinates (375) with respect to the basis 𝔳.


Determine the transformation matrices M𝔳𝔲 and M𝔲𝔳 for the standard basis 𝔲 and the basis 𝔳 of 2 that is given by the vectors

v1=(3+5i1i) and v2=(2+3i4+i).


We consider the families of vectors

𝔳=(74),(81) and 𝔲=(46),(73)

in 2.

a) Show that 𝔳 and 𝔲 are both a basis of 2.


b) Let P2 denote the point that has the coordinates (2,5) with respect to the basis 𝔳. What are the coordinates of this point with respect to the basis 𝔲?


c) Determine the transformation matrix that describes the change of bases from 𝔳 to 𝔲.


We consider the linear map

φ:K3K2,(xyz)(125411)(xyz).

Let UK3 be the subspace of K3, defined by the linear equation 2x+3y+4z=0, and let ψ be the restriction of φ on U. On U, there are given vectors of the form

u=(0,1,a),v=(1,0,b) and w=(1,c,0).

Compute the "change of basis" matrix between the bases

𝔟1=v,w,𝔟2=u,w and 𝔟3=u,v

of U, and the transformation matrix of ψ with respect to these three bases (and the standard basis of K2).


Let K be a field, and let V and W be K-vector spaces. Let

φ:VW

be a linear map. Prove that for all vectors v1,,vnV and coefficients s1,,snK, the relationship

φ(i=1nsivi)=i=1nλiφ(vi)

holds.


Let K be a field, and let V be a K-vector space. Prove that, for aK, the map

VV,vav,

is linear.[1]


Interpret the following physical laws as linear functions from to . Establish, in each situation, what is the measurable variable and what is the proportionality factor.

  1. Mass is volume times density.
  2. Energy is mass times the calorific value.
  3. The distance is speed multiplied by time.
  4. Force is mass times acceleration.
  5. Energy is force times distance.
  6. Energy is power times time.
  7. Voltage is resistance times electric current.
  8. Charge is current multiplied by time.


Around the Earth along the equator, a ribbon is placed. However, the ribbon is one meter longer than the equator, so that it is lifted uniformly all around to be tense. Which of the following creatures can run/fly/swim/dance under it?

  1. An amoeba.
  2. An ant.
  3. A tit.
  4. A flounder.
  5. A boa constrictor.
  6. A guinea pig.
  7. A boa constrictor that has swallowed a guinea pig.
  8. A very good limbo dancer.


Suppose that a linear function

φ:

has for 1113 the value 717. What is its vale for 319?


Which of the following functions f: are linear?

  1. The real exponential function.
  2. The zero function.
  3. The constant function with value 7.
  4. The squaring function xx2.
  5. The function which halves every real number.
  6. The function which subtracts 1 from every real number.


Which of the following geometric shapes can be the image of a square under a linear mapping from 2 to 2?


Consider the linear map

φ:2

such that

φ(13)=5 and φ(23)=4.

Compute

φ(76).


Complete the proof of the theorem on determination on basis, by proving the compatibility with the scalar multiplication.


Lucy Sonnenschein works as a bicycle messenger, she earns 12 € per hour. At the fruit market, the price (per 100 gram) for raspberries is 3 €, for strawberries the price is 2 €, and for apples the price is 0,4 €. Describe the mapping, which assigns to any purchase of fruits, the time, how long Lucy has to work for it, as a composition of linear mappings.


Let K be a field, and let U,V,W be vector spaces over K. Let φ:UV and ψ:VW be linear maps. Prove that also the composite mapping

ψφ:UW

is a linear map.


Let K be a field, and let V and W be K-vector spaces. Let

φ:VW

be a bijective linear map. Prove that also the inverse map

φ1:WV

is linear.


Let K be a field, and let V be a K-vector space. Let v1,,vn be a family of vectors in V. Consider the map

φ:KnV,(s1,,sn)i=1nsivi,

and prove the following statements.

  1. φ is injective if and only if v1,,vn are linearly independent.
  2. φ is surjective if and only if v1,,vn is a system of generators for V.
  3. φ is bijective if and only if v1,,vn form a basis.


Prove that the functions

,zRe(z),

and

,zIm(z),

are -linear maps. Prove also that the complex conjugation is -linear, but not -linear. Is the absolute value

,z|z|,

-linear?


Consider the function

f:

that sends a rational number q to q, and all the irrational numbers to 0. Is this a linear map? Is it compatible with multiplication by a scalar?


Let K be a field, and let V and W be K-vector spaces. Let

φ:VW

be a linear map. Prove the following facts.

  1. For a linear subspace SV, also the image φ(S) is a linear subspace of W.
  2. In particular, the image
    Imφ=φ(V)

    of the map is a subspace of W.

  3. For a linear subspace TW, also the preimage φ1(T) is a linear subspace of V.
  4. In particular, φ1(0) is a subspace of V.


Find, by elementary geometric considerations, a matrix describing a rotation by 45 degrees counter-clockwise in the plane.


Prove the addition theorems for sine and cosine, using the rotation matrices.


Determine the kernel of the linear map

43,(xyzw)(215232712143)(xyzw).


Determine the kernel of the linear mapping

φ:42,

given by the matrix

M=(23014225).


How does the graph of a linear mapping

f:,
g:2,
h:2

look like? How can you see in a sketch of the graph the kernel of the map?


Let M be an m×n-matrix over the field K, let φ:KnKm be the corresponding linear mapping, and let Mx=c denote (depending on a vector cKm) the corresponding system of linear equations. Show that the solution set of the system equals the preimage of c under the linear mapping φ.


Let V and W be vector spaces over a field K, and let φ,ψ:VW be linear mappings. Show that the mapping, defined by

(φ+ψ)(v):=φ(v)+ψ(v),

is also linear.


Give an example for a linear mapping

φ:22

that is not injective but such that its restriction

22

is injective.


We consider the mapping

Ψ:0404

that assigns to a four-tuple (a,b,c,d) the four-tuple

(|ba|,|cb|,|dc|,|ad|).

Describe this mapping by a matrix, under the condition

abcd.




Hand-in-exercises

Exercise (3 marks)

Consider the linear map

φ:32

such that

φ(213)=(47),φ(042)=(11) and φ(311)=(50).

Compute

φ(456).


Exercise (6 (3+1+2) marks)

We consider the families of vectors

𝔳=(123),(471),(025) and 𝔲=(024),(661),(352)

in 3.

a) Show that 𝔳 and 𝔲 are both a basis of 3.


b) Let P3 denote the point that has the coordinates (2,5,4) with respect to the basis 𝔳. What are the coordinates of this point with respect to the basis 𝔲?


c) Determine the transformation matrix that describes the change of basis from 𝔳 to 𝔲.


Exercise (3 marks)

Sketch the image of the pictured circles under the linear mapping given by the matrix (2003) from 2 to itself.


Exercise (3 marks)

Find, by elementary geometric considerations, a matrix describing a rotation by 30 degrees counter-clockwise in the plane.


Exercise (3 marks)

Determine the image and the kernel of the linear map

f:44,(x1x2x3x4)(1341257112322002)(x1x2x3x4).


Exercise (3 marks)

Let E3 be the plane defined by the linear equation 5x+7y4z=0. Determine a linear map

φ:23,

such that the image of φ is equal to E.


Exercise (3 marks)

On the real vector space G=4 of mulled wines, we consider the two linear maps

π:G,(znrs)8z+9n+5r+s,

and

κ:G,(znrs)2z+n+4r+8s.

We consider π as the price function, and κ as the caloric function. Determine a basis for ker(π), one for ker(κ) and one for ker(π×κ).[2]




Footnotes
  1. Such a mapping is called a homothety, or a dilation with scale factor a.
  2. Do not mind that there may exist negative numbers. In a mulled wine, of course the ingredients do not enter with a negative coefficient. But if you would like to consider, for example, in how many ways you can change a particular recipe, without changing the total price or the total amount of energy, then the negative entries make sense.


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