1. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 1 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Bruce Mayer, PE Registered Electrical & Mechanical Engineer BMayer@ChabotCollege.edu Engr/Math/Physics 25 Chp3 MATLAB Functions: Part1

2. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 2 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Learning Goals  Understand the difference between Built-In and User-Defined Functions  Write User Defined Functions  Describe Global and Local Variables  When to use SUBfunctions as opposed to NESTED-Functions  Import Data from an External Data-File As generated, for example, by an Electronic Data-Acquisition System

3. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 3 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Functions  MATLAB Has Two Types of Functions 1.Built-In Functions Provided by the Softeware e.g.; sqrt, exp, cos, sinh, etc. 2.User-Defined Functions are.m-files that can accept InPut Arguments and Return OutPut Values

4. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 4 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Getting Help for Functions  Use the lookfor command to find functions that are relevant to your application  For example typing lookfor complex returns a list of functions that operate on complex numbers (more to come): >> lookfor complex ctranspose.m: %' Complex conjugate transpose. COMPLEX Construct complex result from real and imaginary parts. CONJ Complex conjugate. CPLXPAIR Sort numbers into complex conjugate pairs. IMAG Complex imaginary part. REAL Complex real part. CPLXMAP Plot a function of a complex variable.

5. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 5 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Built-In Exponential Functions CommandConventional Math Function exp(x) Exponential; e x sqrt(x) Square root;  x log(x) Natural logarithm; lnx log10(x) Common (base 10) logarithm; logx = log 10 x  Note the use of log for NATURAL Logarithms and log10 for “normal” Logarithms This a historical Artifact from the FORTRAN Language – FORTRAN designers were concerned with confusing ln with “one-n”

6. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 6 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Built-In Complex-No. Functions  Useful for Analyzing Periodic Systems e.g., Sinusoidal Steady- State Electrical Ckts CommandConventional Math Function abs(x) Absolute value (Magnitude or Modulus) angle(x) Angle of a complex number (Argument) conj(x) Complex Conjugate imag(x) Imaginary part of a complex number real(x) Real part of a complex number

7. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 7 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Built-In Rounding Functions CommandConventional Math Function ceil(x) Round to nearest integer toward +  fix(x) Round to nearest integer toward zero floor(x) Round to nearest integer toward −  round(x) Round toward nearest integer. sign(x) Signum function: +1 if x > 0; 0 if x = 0; −1 if x < 0. Graph

8. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 8 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Bruce Mayer, PE Licensed Electrical & Mechanical Engineer BMayer@ChabotCollege.edu Engr/MTH/Phys 25 Complex Numbers

9. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 9 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Numbers – Math  What do We Do with?  Factoring  Let’s Make-Up or IMAGINE

10. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 10 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex No.s – Basic Concept World of REAL numbers a  x 2 + b  x + c = 0 x = x = ± 2a2a2a2a b 2 – 4ac b Discriminant D Solution(s) of a quadratic equation exist only for non-negative values of D ! World of COMPLEX numbers Solution(s) of a quadratic equation exist also for negative values of D ! x = x = ± j ± j 2a2a2a2a | b 2 – 4ac | b In Engineering √(-1) = jin Math √(-1) = i

11. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 11 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Number, z, Defined z = x + j y Real part x = Re(z) Imaginary part y = Im(z) Complex numbers numbers Im(z)  0 Real numbers numbers Im(z) = 0 Re(z) Im(z) Complex numbers Realnumbers

12. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 12 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex No.s – Basic Rules  Powers of j j 2 = –1 j 3 = –j j 4 = +1 j –1 = –j j 4n = +1; j 4n+1 = +j ; j 4n+2 = –1; j 4n+3 = –j for n = 0, ±1, ± 2, …  Equality z 1 = x 1 + j y 1 z 2 = x 2 + j y 2 z 1 = z 2,  x 1 = x 2 AND y 1 = y 2  Addition z 1 + z 2, = (x 1 + x 2 ) + j ( y 1 + y 2 )

13. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 13 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex No.s – Basic Rules cont z 1 = x 1 + j y 1 z 2 = x 2 + j y 2  Multiplication z 1 z 2, = (x 1 x 2 – y 1 y 2 ) + j (x 1 y 2 + x 2 y 1 )  The complex conjugate z = x + j y z* = x – j y (z + z*) = x  Re(z) 21 (z – z*) = j y  j Im(z) 21 z z* = x 2 + y 2  Division z2z2z2z2 z1z1z1z1 = (x22 + y22)(x22 + y22)(x22 + y22)(x22 + y22) z 2 z 2 * z1z2*z1z2*z1z2*z1z2* = x1 x2 + y1 y2x1 x2 + y1 y2x1 x2 + y1 y2x1 x2 + y1 y2 + j (x22 + y22)(x22 + y22)(x22 + y22)(x22 + y22) y1 x2 – x1 y2y1 x2 – x1 y2y1 x2 – x1 y2y1 x2 – x1 y2

14. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 14 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex No.s – Graphically x y r  z = x + i y Im(z) Re(z) The Argand diagram Modulus (magnitude) of z arctan  = arg z = x y + , if x < 0 arctan xy, if x > 0 r = mod z = |z| = x 2 + y 2 x 2 + y 2 x = r cos  y = r sin  Argument (angle) of z Polar form of a complex number z z = r (cos  + j sin 

15. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 15 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex No.s – Polar Form z 1 = r 1 (cos   + j sin    z 2 = r 2 (cos   + j sin    x y r  z = x + j y Im(z) Re(z) |z 1 z 2 | = |z 1 | |z 2 | ; arg(z 1 z 2 ) = arg(z 1 ) + arg(z 2 ) z 1 z 2 = r 1 r 2 (cos (   +   ) + j sin(   +   )) = (cos (   –   ) + j sin(   –   )) = (cos (   –   ) + j sin(   –   )) z2z2z2z2 z1z1z1z1 r2r2r2r2 r1r1r1r1 = ; arg( ) = arg(z 1 ) – arg(z 2 ) = ; arg( ) = arg(z 1 ) – arg(z 2 ) |z 2 | |z 1 | z2z2z2z2 z1z1z1z1 z2z2z2z2 z1z1z1z1 Multiplication  Multiplication  Division

16. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 16 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Polar Multiplication Proof  Consider:  Then  ButThen factoring out j, & Grouping  Recall Trig IDs

17. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 17 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Polar Multiplication Proof cont  Using Trig ID in the Loooong Expression  So Finally

18. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 18 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods De Moivre’s Formula z 1 z 2 = r 1 r 2 (cos (   +   ) + j sin(   +   )) z 1 z 2 …z n = r 1 r 2 …r n [cos (   +    …+  n ) + j sin(   +    …+  n )] z n = r n (cos (n  ) + j sin(n  )) z 1 = z 2 =…= z n r = 1 (cos  + j sin  ) n = cos (n  ) + j sin(n  ) FFrench Mathematician Abraham de Moivre (1667-1754)

19. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 19 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Functions f(x) = g(x) + j h(x)  A complex function Real function  A complex conjugate function f*(x) = g(x) – j h(x) f(x) f*(x) = g 2 (x) + h 2 (x)  Example: f(z) = z 2 + 2z + 1; z = x + j y f(z) = g(x,y) + j h(x,y) g(x,y) = (x 2 – y 2 + 2x + 1) h(x,y) = 2y (x + 1)

20. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 20 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Euler’s Formula A complex conjugate is also inverse A power series for an exponential eieieiei Im(z) Re(z) 1 1 –1–1–1–1 –1–1–1–1  –  e–ie–ie–ie–i cos(θ)sin(θ)

21. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 21 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Numbers – Engineering

22. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 22 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Number Calcs  Consider a General Complex Number  This Can Be thought of as a VECTOR in the Complex Plane  This Vector Can be Expressed in Polar (exponential) Form Thru the Euler Identity  Where  Then from the Vector Plot x y r  z = x + j y Im(z) Re(z)

23. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 23 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Number Calcs cont  Consider Two Complex Numbers  The SUM, Σ, and DIFFERENCE, , for these numbers  The PRODUCT nm  Complex DIVISION is Painfully Tedious See Next Slide

24. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 24 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Number Division  For the Quotient n/m in Rectangular Form  The Generally accepted Form of a Complex Quotient Does NOT contain Complex or Imaginary DENOMINATORS  Use the Complex CONJUGATE to Clear the Complex Denominator  The Exponential Form is Cleaner See Next Slide

25. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 25 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Number Division cont.  For the Quotient n/m in Exponential Form  However Must Still Calculate the Magnitudes and Angles Look for lots of this in ENGR43

26. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 26 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Root of A Complex Number  How to Find?  Use Euler  In This Case  Note that θ is in the 2 nd Quadrant  Thus

27. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 27 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Root of A Complex Number  Now use Properites of Exponents  Use Euler in Reverse  In this Case  By MATLAB (-7+19j)^(1/3) ans = 2.1841 + 1.6305i

28. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 28 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods ln of a NEGATIVE Number (1)  What is Im(z) Re(z) r –r–r–r–r –r–r–r–r  = π z=(-19,0)  State −19 as a complex no.  Find Euler Reln Quantities r, & θ

29. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 29 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods ln of a NEGATIVE Number (2)  Note that θ is 180º, NOT Zero  Thus the Polar form of −19 Im(z) Re(z) r –r–r–r–r –r–r–r–r  = π z=(-19,0)  Taking the ln

30. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 30 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Log of a NEGATIVE Number  Recall complex forms for −19 Im(z) Re(z) r –r–r–r–r –r–r–r–r  = π z=(-19,0)  Taking the common (Base-10) log

31. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 31 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods MATLAB Complex Operations >> a = 3+2j; >> b = -4+5i; >> c = -5-j*4; >> d = i; >> ac = a*c ac = -7.0000 -22.0000i >> Mag_b = abs(b) Mag_b = 6.4031 >> c_star = conj(c) c_star = -5.0000 + 4.0000i

32. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 32 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Ops >> b_d = b/d b_d = 5.0000 + 4.0000i >> c_b = c/b c_b = 0 + 1.0000i >> c_a = c/a c_a = -1.7692 - 0.1538i >> Re_d = real(d) Re_d = 0 >> Im_b = imag(b) Im_b = 5

33. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 33 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Ops >> b_sq = b^2 b_sq = -9.0000 -40.0000i >> b_cu = b^3 b_cu = 2.3600e+002 +1.1500e+002i >> cos_a = cos(a) cos_a = -3.7245 - 0.5118i >> exp_c = exp(c) exp_c = -0.0044 + 0.0051i >> log_b = log10(b) log_b = 0.8064 + 0.9752i

34. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 34 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Ops >> r = 73; >> theta = 2*pi/11; >> theta_deg = 180*theta/pi theta_deg = 32.7273 >> z = r*exp(j*theta) z = 61.4115 +39.4668i >> abs(z) ans = 73 >> 180*angle(z)/pi ans = 32.7273 >> x = -23; y = 19; >> z2 = complex(x,y) z2 = -23.0000 +19.0000i

35. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 35 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Caveat  MATLAB Accepts >> z2 = 3+7j; >> z3 = 5 + i*11; >> z4 = 7 + 13*j; >> z2 z2 = 3.0000 + 7.0000i >> z3 z3 = 5.0000 +11.0000i >> z4 z4 = 7.0000 +13.0000i  But NOT >> z5 = 7 + j5; ??? Undefined function or variable 'j5'.

36. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 36 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods All Done for Today Leonhard Euler (1707-1783)

37. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 37 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Bruce Mayer, PE Licensed Electrical & Mechanical Engineer BMayer@ChabotCollege.edu Engr/Math/Physics 25 Appendix

38. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 38 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Complex Integration Example I =I =I =I = I = Re Us EULER to Faciltitate (Nasty) AntiDerivation

39. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 39 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Illuminate Previous Slide  By EULER  Using Term-by-Term Integration As “i” is just a CONSTANT  Taking the REAL Part of the above

40. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 40 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Rotation Operator Polar form of a complex number z = r (cos  + j sin  z(x,y) Im(z) Re(z) r –r–r–r–r –r–r–r–r   z'(x',y') x'= r cos(  +  =  r(cos  cos  – sin  sin  y'= r sin(  +  = r(sin  cos  + cos  sin  x'=  x cos  – y sin  y'= x sin  + y cos  The function e j   can be regarded as a representation of the rotation operator R (x,y) which transforms the coordinates (x,y) of a point z into coordinates (x',y') of the rotated point z' : R (x,y) = (x',y').

41. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 41 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Periodicity z' =z' =z' =z' = z' =z' =z' =z' = z =z =z =z = z'z'z'z' The function e j   occurs in the natural sciences whenever periodic motion is described or when a system has periodic structure.

42. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 42 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Periodicity on a Circle or n nth roots of 1 z0z0z0z0 Im(z) Re(z)  z1z1z1z1 z2z2z2z2  z 0 = e j0 ; z 1 = e j 2  /3 ; z 2 = e j 4  /3 z 0 = e j0 ; z 1 = e j 2  /3 ; z 2 = e j 4  /3 z k = e j 2  k/3, where k = 0,1,2 z k = e j 2  k/3, where k = 0,1,2 z k 3 = (e j 2  k/3 ) 3 = e j 2  k = 1  1 = z k z k 3 = (e j 2  k/3 ) 3 = e j 2  k = 1  1 = z k z 0 = e j0 = 1 z 1 = e j 2  /3 = - + j z 2 = e j 4  /3 = - – j 2 1 2 1 2 2 z k = e j 2  k/3, where k = 0, ±1 z k = e j 2  k/3, where k = 0, ±1 3 roots of third degree of 1

43. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 43 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Periodicity on a Circle cont or n nth roots of 1 z 0 = e j0 = 1 z ±1 = e ±j  /3 = ± j z ±2 = e ±j 2  /3 = - ± j 2 1 2 1 2 2 6 sixth roots of 1 z0z0z0z0 Im(z) Re(z) z1z1z1z1 z2z2z2z2 z3z3z3z3 z -2 z -1 Used for description of the properties of the benzene molecule. n nth roots of 1 z k = e j 2  k/n for k = z k = e j 2  k/n for k = 0, ±1, ±2,..., ±(n –1)/2 if n is odd 0, ±1, ±2,..., ±(n/2 –1), n/2 if n is even Such functions are important for the description of systems with circular periodicity.

44. BMayer@ChabotCollege.edu ENGR-25_Functions-1.ppt 44 Bruce Mayer, PE Engineering/Math/Physics 25: Computational Methods Periodicity on a Line Such functions are important for the description of periodic systems such as crystals....... aaaaaaaaaa f(x) = f(x + a) f(x) = Periodic function Generalization for three-dimensional periodic systems f(x,y,z) =