Eigenproblem Exercises

Notation: 𝑨m×m, 𝑨𝒙=λ𝒙,𝑨𝑿=𝑿𝚲 the eigenproblem, 𝑨𝑸=𝑸𝚲 the eigenproblem for 𝑨 normal (𝑨=𝑨), 𝑨=𝑼𝚺𝑽, the SVD,

𝚲=diag(λ1,,λm),𝑿=[ 𝒙1 𝒙2 𝒙m ],𝑸=[ 𝒒1 𝒒2 𝒒m ],
p𝑨(λ)=det(λ𝑰-𝑨)=(λ-λ1)(λ-λm)=λm+am-1λm-1++a0,
p𝑨(𝑩)=𝑩m+am-1𝑩m-1++a0𝑩0.

Exercise 1. Prove 𝚲=𝟎𝑨=𝟎.

Exercise 2. Find 𝑿,𝚲 for 𝑨=[1] (all elements are one).

Exercise 3. Let λ1λ2, prove c1𝒙1+c2𝒙2 is not an eigenvector of 𝑨.

Exercise 4. For 𝒙m,𝑨m×m, is 𝒖=c𝒙 an eigenvector for c?

Exercise 5. Prove that for 𝑨=𝑨, |λ| is a singular value.

Exercise 6. Consider the mapping S:mm

𝒗=[ v1 v2 vm-1 vm ],S(𝒗)=[ v2 v3 vm v1 ].

  1. Prove S is a linear map. Find its matrix representation, 𝑨.

  2. Prove 𝑨 is orthogonal.

  3. Prove that the eigenvectors of 𝑨 are

    𝒙k=[ ωk0 ωk1 ωk(m-1) ],ω=exp(2πim).
  4. Find the eigenvalues 𝑨𝒙k=λk𝒙k

Exercise 7. Let ρ(𝑨)=maxk{|λk|} (the spectral radius of 𝑨). Prove

limn||𝑨n||2=0ρ(A)<1,

Exercise 8. Why do similar matrices have the same eigenvalues? Give both a proof and an intuitive explanation.

Exercise 9. Consider 𝑨𝑿=𝑿𝚲, 𝑩𝒀=𝒀𝚪, 𝑨m×m, 𝑩n×n. Find the eigenvalues and eigenvectors of

𝑪=[ 𝑨 𝟎 𝟎 𝑩 ].

Exercise 10. Prove that eigenvalues of 𝑨 skew-symmetric (𝑨=-𝑨) are purely imaginary (Reλ=0).

Exercise 11. Let 𝑫 denote a diagonal matrix. Prove that p𝑫(𝑫)=𝟎.

Exercise 12. Prove that for 𝑨 non-defective p𝑨(𝑨)=𝟎.

Exercise 13. Prove the Cayley-Hamilton theorem (generalization of Ex.11, Ex. 12), p𝑨(𝑨)=𝟎.

Exercise 14. For 𝑨 normal, prove 𝑨-λ𝑰 is normal.

Exercise 15. For 𝑨 normal, prove that 𝑨,𝑨 have the same eigenvectors.

Exercise 16. Prove tr(𝑨)=j=1majj.

Exercise 17. Find all λ such that 𝑰-λ𝒖𝒖 is unitary for some 𝒖𝟎.

Exercise 18. For 𝒙m,𝑨m×m is 𝒖=c𝒙 an eigenvector for c?

Exercise 19. Find the characteristic polynomial of

𝑨=[ a1 a2 am-1 am 1 0 0 0 0 1 0 0 1 0 ]

Exercise 20. Let 𝑨 be tridiagonal with non-zero subdiagonal entries. Prove that eigenvalues of 𝑨 are distinct.