Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v....

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Transcript of Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v....

Page 1: Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v. 0.01 shoos . ( = O < € . So on 0.01 40T . O as) . So NAG -then -Ê I's or Recall
Page 2: Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v. 0.01 shoos . ( = O < € . So on 0.01 40T . O as) . So NAG -then -Ê I's or Recall
Page 3: Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v. 0.01 shoos . ( = O < € . So on 0.01 40T . O as) . So NAG -then -Ê I's or Recall
Page 4: Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v. 0.01 shoos . ( = O < € . So on 0.01 40T . O as) . So NAG -then -Ê I's or Recall
Page 5: Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v. 0.01 shoos . ( = O < € . So on 0.01 40T . O as) . So NAG -then -Ê I's or Recall

See figure on page 7

Page 6: Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v. 0.01 shoos . ( = O < € . So on 0.01 40T . O as) . So NAG -then -Ê I's or Recall

See figure on page 8

Page 7: Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v. 0.01 shoos . ( = O < € . So on 0.01 40T . O as) . So NAG -then -Ê I's or Recall

ParametricPlot@8r ∗ 8Cos@θD , Sin@θD< ê HHAbs@Cos@θDD^p + Abs@Sin@θDD^pL ê 2L^H1 ê pL ê. p → 2,

r ∗ 8Cos@θD , Sin@θD< ê HHAbs@Cos@θDD^p + Abs@Sin@θDD^pL ê 2L^H1 ê pL ê. p → 3,

r ∗ 8Cos@θD , Sin@θD< ê HHAbs@Cos@θDD^p + Abs@Sin@θDD^pL ê 2L^H1 ê pL ê. p → 1.5<,8r, 0, 1<, 8θ, 0, 2 π<, Mesh → False, PlotPoints → 50D

Page 8: Lecture9+10 - NYU Courantregev/teaching/analysis_fall... · £0.01 close £0 N RE S 0.0 E s Q T. v. 0.01 shoos . ( = O < € . So on 0.01 40T . O as) . So NAG -then -Ê I's or Recall

Needs@"MultivariateStatistics` "D;GaussSam@ε_D := Random@MultinormalDistribution @80, 0<, 881, 1 − ε<, 81 − ε, 1<<DD;GaussSams@k_, ε_D := Transpose@Table@GaussSam@εD, 8k<DD;A = Table@GaussSams@2, 0.001D, 83000<D;ListLinePlot@A, PlotStyle → BlackD

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