# COMPLEX NUMBERS AND PHASORS

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2 2 II. Complex numbers: Magnitude, phase, real and imaginary parts A. You re in EECS Now! You ve seen complex numbers before. For example, solving the quadratic equation z 2 6z + 13 = 0 using the quadratic formula results in the complex number 3 + 2j and its complex conjugate 3 2j where... Wait a minute! j? It should be i! Wrong. You re in EECS now, and in EECS i denotes current and j = 1 (note the problem in the section above). Get used to it! Fortunately, Matlab accepts either i or j as 1. We now return you to your regularly scheduled program of complex numbers review. B. Euler s formula (Leonhard) Euler s formula relates complex exponentials and trig functions. It states that e jθ = cosθ + j sinθ (1) The easiest way to derive it is to set x = jθ in the power series for e x : e jθ = 1+(jθ)+ (jθ)2 2! + (jθ)3 3! + (jθ) = 1 θ2 4! 2! +θ4 4! θ6 6! This isn t a rigorous derivation, but it will do for EECS 206. ( ) θ +...+j 1! θ3 3! + θ5 5! +... = cosθ+j sin θ (2) Note the following immediate implications (these are worth writing on your exam cheat sheet): e jπ/2 = j and e j3π/2 = e jπ/2 = j (to visualize this, see below on Argand diagrams); e jπ = 1 and e jπ + 1 = 0 cogently relates the five most important numbers in mathematics; A few people wax rhapsodic about this formula (I think they need to get lives). C. Definitions of Sine and Cosine in Terms of e jθ By adding and subtracting Euler s formula and its complex conjugate, we get cosθ = 1 2 (ejθ + e jθ ); sin θ = 1 2j (ejθ e jθ ) (3) These are called the inverse Euler formulae in the official EECS 206 lecture notes. A mathematician would call them definitions of cosθ and sinθ (never mind all that opposite-over-hypotenuse stuff...) These are important formulae of which you will make extensive use in EECS 206. To remember them: cosθ is an even (symmetric) function of θ, so changing the sign of θ should not change the definition; sinθ is an odd (anti-symmetric) function, so changing the sign of θ should change the sign in the definition; The j in the denominator of sinθ is tricky; you simply have to remember it.

3 3 D. Polar and Rectangular Forms of Complex Numbers Multiplying Euler s formula by a constant M > 0 yields the two forms of complex numbers: POLAR { }} { { }} { z = }{{} M }{{} e jθ = M cosθ MAG ARG RECTANGULAR } {{ } REAL +j M sinθ } {{ } IMAG (4) This allows us to define two ways of representing a complex number: Its polar form z = Me jθ, in which M=its magnitude and θ=its phase; and Its rectangular form z = M cosθ + jm sin θ = x + jy, in which: x = M cos θ=its real part and y = M sin θ=its imaginary part. The following notation is used to represent the above four parts of a complex number z: Magnitude: M = z. Phase: θ = arg[z] (argument of z is another term for phase of z) Real part: x = Re[z]. Imaginary part: y = Im[z]. Warning: Im[3 + j4] = 4 NOT j4! Polar form is sometimes written using: z = Me jθ = M θ (this is easier to read since θ is larger). III. Complex numbers: Polar-to-Rectangular Conversion and vice-versa A. Procedures: Polar-to-Rectangular Conversion and vice-versa The above equation allows easy conversion between the polar and rectangular forms of a complex number: Given the polar form z = Me jθ, its rectangular form z = x + jy is computed using: x = M cosθ = Re[z]=real part of z; y = M sinθ = Im[z]=imaginary part of z. Given the rectangular form z = x + jy, its polar form z = Me jθ is computed using: M = x 2 + y 2 = z =magnitude of z; θ = arctan( y x ) = tan 1 ( y x )=phase of z. IF x < 0 then use θ = arctan( y x ) + π = tan 1 ( y x ) + π. What s this about x < 0? Try converting z = 1 j to polar form: M = ( 1) 2 + ( 1) 2 = 2 and θ = arctan( 1 1 ) = π 4 1 j = 2e jπ/4. NOT! (try P R). The problem is that there are two solutions to the always-correct tan θ = y x, 180o apart. You have to choose the correct one. The sign of the real part x tells you which one is correct. Your calculator has, somewhere on it, both an R P key or function and a P R key or function. Please don t ask me to find it for you; some of your calculators look like the dashboard on the space shuttle! Find them, and learn to use them you will use them a lot in EECS 206 and 215 or 314. B. Examples: Polar-to-Rectangular Conversion and vice-versa 3 + j4 = 5e j0.927 : 3 = 5 cos(0.927) 4 = 5 sin(0.927) 5 = = arctan( 4 3 ) 1 + j = 2e j0.785 : 1 = 2cos(0.785) 1 = 2sin(0.785) 2 = = arctan( 1 1 ) 5 + j12 = 13e j1.966 : 5 = 13 cos(1.966) 12 = 13 sin(1.966) 13 = = arctan( 12 5 ) + π

4 4 You can visualize these using an Argand diagram, which is just a plot of imaginary part vs. real part of a complex number. For example, z = 3 + j4 = 5e j0.927 is plotted at rectangular coordinates (3, 4) and polar coordinates (5, 0.927), where is the angle in radians measured counterclockwise from the positive real axis (try it). This is an excellent way of picking up errors, especially in the phase being off by π radians=180. o IV. Complex numbers: Addition, subtraction, multiplication, division So why bother with rectangular-to-polar or polar-to-rectangular conversions? Here s why: To multiply or divide complex numbers, convert them to polar form and use Me jθ Ne jφ = (MN)e j(θ+φ) ; In particular, note that the magnitude of a product is the product of the magnitudes; To add or subtract, convert to rectangular form and use (a + jb) + (c + jd) = (a + c) + j(b + d). The following two examples (side-by-side) show how to do this: 5e j e j0.785 = 6.4e j j4 1 + j = 1 + j7 P R P R R P R P R P P R 3 + j j = 4 + j5 5e j e j0.785 = 5 2e j1.71 add in rectangular form multiply in polar form Note that we have already seen all of the P R and R P conversions used here. Yes, for this simple example you could compute (3 + j4)(1 + j) = ((3 1) (4 1)) + j((4 1) + (3 1)) = 1 + j7 (5) but for more complicated examples you won t want to do this. Another example (from the official lecture notes): Compute 2 3e jπ/6 + 2e jπ/3 by converting polar to rectangular : = 2 3 cos(π/6) + j2 3sin(π/6) + 2 cos(π/3) + j2 sin( π/3) = 2 3( 3/2) + j2 3(1/2) + 2(1/2) j2( 3/2) = 4(!) (6) Another example, entirely in the polar domain: A. Complex Conjugates (2 3e jπ/6 )/(2e jπ/3 ) = ej(π/6 ( π/3)) = 3e jπ/2 = j 3 (7) V. Complex numbers: Complex Manipulations The complex conjugate z of z is z = x jy = Me jθ = M θ. This turns out to be useful: Re[z] = 1 2 (z + z ): We can get the real part by adding the complex conjugate and halving;

5 5 z 2 = zz : We can get magnitude by multiplying by the complex conjugate and taking a square root; e j2arg[z] = z z : We can get the phase by dividing by the complex conjugate and taking half the log; Also, z = z ; arg[z ] = arg[z]; z = Me jθ z = Me jθ ; 1 z = 1 M e jθ ; z = Me j(θ±π). B. Complex Expressions Try this: compute 5(8+j)(8+j6)(5+j12)(5+j10) 26(7+j4)(7+j24)(2+j11) (!) Are you kidding me? And yet it s quite easy: 5(8 + j)(8 + j6)(5 + j12)(5 + j10) 26(7 + j4)(7 + j24)(2 + j11) = j 8 + j6 5 + j j j4 7 + j j11 Two very important rules (they will be even more important in EECS 215 and 314): Magnitude of the product of complex numbers is product of magnitudes. Argument of the product of complex numbers is the sum of arguments. = (25)(65)(100)(169)(125) (26) 2 = 1 (65)(625)(125) (8) The following identity is true to an overall sign. Why? (Try doing this solely in rectangular form!) (a + jb)(c + jd) (e + jf)(g + jh) = (a 2 + b 2 )(c 2 + d 2 ) (e 2 + f 2 )(g 2 + h 2 ) exp j[tan 1 (b/a) + tan 1 (d/c) tan 1 (f/e) tan 1 (h/g)] (9) VI. Phasors: Phasor-to-sinusoid conversions and vice-versa A. Procedures: Phasor-to-sinusoid conversions and vice-versa The bottom line: A phasor is a complex number used to represent a sinusoid. In particular: sinusoid x(t) = M cos(ωt + θ), < t < functionof time phasor X = Me jθ = M cosθ + jm sin θ complexnumber What do these two things have to do with each other? Consider the following: x(t) = Re[Xe jωt ] = Re[Me jθ e jωt ] = Re[Me j(ωt+θ) ] = M cos(ωt + θ). This relates the phasor X with the sinusoidal signal x(t). Now apply this trick to the sum of two sinusoids at the same frequency: Acos(ωt + θ) + B cos(ωt + φ) = Re[Ae j(ωt+θ) + Be j(ωt+φ) ] = Re[e jωt (Ae jθ + Be jφ )] Note the crucial step: The complex exponential e jωt factors out of the sum! Now let Ae jθ + Be jφ = Ce jψ for some C and ψ (as we were doing before). Then: Re[e jωt (Ae jθ + Be jφ )] = Re[e jωt (Ce jψ )] = C cos(ωt + ψ). The trigonometry equation Acos(ωt + θ) + B cos(ωt + φ) = C cos(ωt + ψ) (ugh) Is equivalent to the complex number equation Ae jθ + Be jφ = Ce jψ (OK!) How does this work in practice? Try some examples:

6 6 B. Examples: Phasor-to-sinusoid conversions and vice-versa Example #1: Simplify 5 cos(ωt + 53 o ) + 2cos(ωt + 45 o ) The hard way: Use the cosine addition formula three times (the third time to simplify the result)(ugh). The easy way: Phasors: 5e j53o + 2e j45o = (3 + j4) + (1 + j) = (4 + j5) = 6.4e j51o. So 5 cos(ωt + 53 o ) + 2cos(ωt + 45 o ) = 6.4 cos(ωt + 51 o ). Example #2: Simplify cos(ωt + 30 o ) + cos(ωt o )) + cos(ωt 90 o ). The hard way: Use the cosine addition formula three times (the third time to simplify the result)(ugh). The easy way: Phasors: e j30o + e j150o + e j90o = 0 (think resultant; draw an Argand diagram). So cos(ωt + 30 o ) + cos(ωt o )) + cos(ωt 90 o ) = 0. You didn t even need your calculator! This fact is used in three-phase current (still used in some rural areas) so current flow is conserved. I could have made it a little harder by making the last term sin(ωt) = cos(ωt 90 o ). Use the trig identity sin(ωt + θ) = cos(ωt + θ π/2) as a definition, as necessary. VII. Phasors: Real-world applications (borrowing from EECS 215) Don t panic these won t be on any EECS 206 exams! (But they WILL be on EECS 215 or 314 exams.) In EECS 215 or 314 you will encounter a lot of circuits problems like this: Problem #1: A voltage source 26 cos(50t) is connected to a small motor. The motor is modelled by a 12Ω resistor (coil resistance) in series with a 0.1H inductor (coil inductance effects). Compute the current i(t) passing through the motor and the average power dissipated in the motor. In EECS 215 or 314, you will learn that the current phasor I and average power P can be written as: I = 26+j0 12+j50(0.1) = o = o i(t) = 2 cos(50t 22.6 o ). Peak current=2 amps (a lot!) P = 1 2 Re[V I ] = 1 2 Re[26( o )] = 26 cos(22.6 o ) = 24 watts. This next problem is about power factor correction, which uses lots of complex numbers and phasors: Problem #2: A blender motor is modelled by a 30Ω resistor (modelling the coil resistance) in series with a H inductor (modelling the inductive effects of the coil). What power is dissipated by the motor? The blender is plugged into a wall socket which delivers a sinusoidal voltage at 120 volts rms at 60 Hertz. This implies an amplitude of A = volts (did you know that peak voltage is 170 volts, not 120?) and a frequency of ω = 2π RAD SEC. Tell your aunt/uncle engineer you know about the number j0 rms current phasor = I = 30+j(2π60)(40/377) = 120+j0 30+j40 = o i(t) = cos(377t 53 o ). Average power dissipated = P = Re[V rms I rms] = Re[(120)(2.4e j53o )] = watts. Problem: The voltage and current are 53 o out of phase, so the motor draws more current than it should.

7 7 So what? Detroit Edison will charge you big-time for this! And they will be right! Why? Detroit Edison s generators need to generate more current than they should have to; Need physically bigger (thicker and heavier) transmission lines to carry the current; More current greater losses and heating (power dissipation) due to line resistance; Hotter transmission lines expand and sag, touching something; this causes blackouts. So what do we do? Hook a capacitor C in parallel with the motor. RMS current phasor: I rms = 120[1/(30 + j40) + j2π(60)c)] (see EECS 215 or 314 when you study admittance). What value of C makes the phase of I rms zero? You should obtain C = = 42.4µF. Then I rms = and average power dissipated=re[v rms Irms ] = (120)(1.44) = watts. But note: The current amplitude has dropped from amps to amps! We have almost halved the peak current, while maintaining average power=172.8 watts. A. Miscellaneous Problems The above problem shows why you care about problems like these: Problem #1: 2 cos(ωt + π 3 ) + Acos(ωt + 5π 4 ) = B cos(ωt) for what value of A? That is, what should the amplitude A be to make the left side be in phase with a pure cosine? Phasors: 2e jπ/3 + Ae j5π/4 = B 0 = Im[2e jπ/3 + Ae j5π/4 ] = 2 sin( π 3 ) + Asin(5π 4 ) A = 6. Note this is the same problem as this: For what A is 2e jπ/3 + Ae j5π/4 purely real? Problem #2: The amplitude of 5 cos(7t ) + Asin(7t) is 3 for what value of A? Phasors: 5e j Ae jπ/2 = 3e jθ (3 + j4) ja = 3 + j(4 A) has magnitude=3 only if A = 4. Note that in general this type of problem will have two solutions or none. Problem #3: Derive the trig identity cos(3θ) = cos 3 θ 3 cosθ sin 2 θ without using any trig. Cube Euler s formula: e j3θ = (cosθ + j sin θ) 3 = cos 3 θ + 3j cos 2 θ sinθ 3 cosθ sin 2 θ j sin 3 θ. Equating real parts gives the desired trig identity. Also: try equating imaginary parts. Problem #4: Compute and put in rectangular form ( 2 ( 2 ) (1 + j) = (1e jπ/4 ) 1003 = e j1000π/4 e j3π/4 = e j3π/4 = (1 + j) ) This is a stunt, ( 1 + j). but illustrative. Problem #5: Compute the five 5 th roots of 32, i.e., the five solutions of z 5 32 = 0. {2e j2π1/5, 2e j2π2/5, 2e j2π3/5, 2e j2π4/5, 2e j2π5/5 = 2}. HINT: Draw an Argand diagram. We will use this result for comb filters later on in EECS 206.

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