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Linear algebra (Osnabrück 2024-2025)/Part I/Exercise sheet 14/refcontrol



Exercise for the break

Show by an example of two basesMDLD/bases (vs) v,u and v,w in 2, that the coordinate functionMDLD/coordinate function (vs) v depend on the basis, and not only on v.




Exercises

Let

U=(467),(338)3.

Find a linear formMDLD/linear form f:3 such that U=kernf holds.


Solve the linear systemMDLD/linear system

4x+7y3z+6u+5v=0.


Show that the real partMDLD/real part and the imaginary partMDLD/imaginary part define real linear formsMDLD/linear forms on , where is considered as a real vector space.

Is the modulusMDLD/modulus (C) of a complex number a real linear form?


===Exercise * Exercise 14.5

change===

Let V be an n-dimensionalMDLD/dimensional (vs) K-vector space,MDLD/vector space and let UV denote an n1-dimensional linear subspace.MDLD/linear subspace Show that there exists a linear formMDLD/linear form f:VK such that U=kernf.


Let K denote a field,MDLD/field let V be a K-vector space,MDLD/vector space and UV a linear subspace.MDLD/linear subspace Let vV with vU. Show that there exists a linear formMDLD/linear form φ:VK satisfying φ(U)=0 and φ(v)=1.


===Exercise Exercise 14.7

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Let K be a field,MDLD/field and let V be a K-vector space.MDLD/vector space Let v1,,vnV be vectors. Suppose that for every k, there exists a linear formMDLD/linear form

φk:VK

such that

φk(vk)0 and φk(vi)=0 for ik.

Show that the v1,,vn are linearly independent.MDLD/linearly independent


Let V be a finite-dimensionalMDLD/finite-dimensional (vs) real vector space.MDLD/real vector space Show that a linear mappingMDLD/linear mapping

f:V,

different from 0, does not have a local extrema.MDLD/local extrema Does this also hold for infinite-dimensional vector spaces? Does this require analysis?


Let V be a finite-dimensionalMDLD/finite-dimensional (vs) K-vector spaceMDLD/vector space over a fieldMDLD/field K, and let L,L1,,Lm denote linear formsMDLD/linear forms on V. Show that the relation

i=1mkernLikernL

holds if and only if L belongs to the linear subspaceMDLD/linear subspace (in the dual spaceMDLD/dual space) generatedMDLD/generated (vs) by the L1,,Lm.


Express the vectors u1,u2 of the dual basisMDLD/dual basis of the basis u1=(13),u2=(25) in 2 as linear combinationsMDLD/linear combinations with respect to the standard dual basis e1,e2.


Express the vectors e1,e2 of the standard dual basisMDLD/standard dual basis as linear combinationsMDLD/linear combinations with respect to the dual basisMDLD/dual basis u1,u2 to the basisMDLD/basis (vs) u1=(14),u2=(22).


Let V and W be vector spacesMDLD/vector spaces over a fieldMDLD/field K, with a basisMDLD/basis (vs) v1,,vn of V, and a basis w1,,wm of W. Show that

viwj,i=1,,n,j=1,,m,

is a basis of the space of homomorphismsMDLD/space of homomorphisms HomK(V,W).


Let V be a K-vector space,MDLD/vector space together with its dual spaceMDLD/dual space V. Show that the natural mapping

V×VK,(v,f)f(v),

is not linear.MDLD/linear


Let K be a field,MDLD/field and let A denote an m×n-matrixMDLD/matrix and let B denote an n×m-matrix over K. Show

trace(AB)=trace(BA).


===Exercise Exercise 14.15

change===

Show that the definitionMDLD/definition of the trace of a linear mapping is independent of the chosen matrix.


Let K be a field,MDLD/field and let V be a finite-dimensionalMDLD/finite-dimensional (vs) K-vector space.MDLD/vector space Show that the assignment

End(V)K,φtrace(φ),

is K-linear.MDLD/linear


Determine the traceMDLD/trace (linear) of a linear projectionMDLD/linear projection

φ:VV

on a finite-dimensionalMDLD/finite-dimensional K-vector spaceMDLD/vector space V.




Hand-in-exercises

Let

U=(929),(132333)3.

Find a linear formMDLD/linear form f:3 such that U=kernf.


Exercise (6 (1+1+2+2) marks) Create referencenumber

Let K be a fieldMDLD/field and a,b,cK.

a) Show that the vectors

(ba0),(0cb),(c0a)K3

are solutions of the linear equation

ax+by+cz=0.


b) Show that these three vectors are linearly independent.MDLD/linearly independent

c) Under what conditions generate these vectors the solution space of the equation?

d) Under what conditions generate the first two vectors the solution space of the equation?


Express the vectors u1,u2 of the dual basisMDLD/dual basis of the basis u1=(47),u2=(61) in 2 as linear combinationsMDLD/linear combinations with respect to the standard dual basis e1,e2.


Express the vectors u1,u2,u3 of the dual basisMDLD/dual basis of the basis u1=(421),u2=(532),u3=(017) in 3 as linear combinationsMDLD/linear combinations with respect to the standard dual basis e1,e2,e3.


Let V=Matn(K) be the space of the n×n-matricesMDLD/matrices over the field K, with the standard basis eij. Describe the traceMDLD/trace (linear) as a linear combinationMDLD/linear combination with respect to the dual basisMDLD/dual basis eij.



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