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Table 4 Comparison of the bounds in (10) for Example 2 (\(2\leq k\leq n-1\)): the bold face numbers confirm our sharp perturbation bounds

From: Rank-one perturbation bounds for singular values of arbitrary matrices

  

n = 30

k = 8

k = 16

k = 24

Lower bounds

\(\sigma _{k+1}(A)\)

16.25

12.75

26.81

\(Lb_{1}\)

13.96

12.91

28.54

\(Lb_{2}\)

17.14

10.27

19.72

Upper bounds

\(\sigma _{k-1}(A)\)

53.45

36.08

51.08

\(Ub_{1}\)

45.26

34.77

48.76

\(Ub_{2}\)

40.18

34.82

50.73

Exact values

\(\sigma _{k}(A+yx^{*})\)

34.03

27.59

48.50

  

n = 60

k = 22

k = 40

k = 58

Lower bounds

\(\sigma _{k+1}(A)\)

30.13

23.26

10.26

\(Lb_{1}\)

32.53

25.11

14.96

\(Lb_{2}\)

36.18

10.04

15.60

Upper bounds

\(\sigma _{k-1}(A)\)

68.26

60.29

49.07

\(Ub_{1}\)

70.24

58.65

47.43

\(Ub_{2}\)

68.01

54.71

45.48

Exact values

\(\sigma _{k}(A+yx^{*})\)

56.02

41.59

28.56