BIPM-ratified constants · v1.0
Converter
Complex, number polar to rectangular form converter calculator.
Convert polar form complex numbers (r∠θ) to rectangular form (a + bi) using a = r·cosθ and b = r·sinθ. Supports degrees and radians.
From
degrees (°)
degrees
Equivalents
Common pairings
The conversion
How the value
is computed.
What Is Polar-to-Rectangular Form Conversion?
A complex number in polar form is defined by two quantities: its magnitude r (the modulus, or distance from the origin in the complex plane) and its angle θ (the argument, measured counter-clockwise from the positive real axis). Converting to rectangular form expresses that same number as a + bi, where a is the real part and b is the imaginary part. This complex number to rectangular form converter applies standard trigonometric identities to perform the conversion accurately for both degree and radian inputs.
The Conversion Formula
The fundamental relationship connecting polar and rectangular forms is:
z = r(cos θ + i sin θ) = a + bi
The two rectangular components are extracted as:
- a = r cos θ — Real part: the projection of the magnitude onto the horizontal (real) axis
- b = r sin θ — Imaginary part: the projection of the magnitude onto the vertical (imaginary) axis
This formula derives directly from right-triangle trigonometry applied in the complex plane. A point at distance r from the origin at angle θ has Cartesian coordinates (r cos θ, r sin θ), which map directly to the real and imaginary components of the complex number.
Degrees vs. Radians
The calculator accepts angles in either degrees or radians. When degrees are selected, the conversion θrad = θdeg × (π / 180) is applied before computing the trigonometric functions. Standard mathematical environments operate on radians internally — for example, 60° becomes π/3 ≈ 1.0472 rad. Selecting the wrong unit produces incorrect results: entering 90 with radians selected yields cos(90 rad) ≈ −0.448 rather than 0. Always confirm the unit before computing.
Magnitude Check
Beyond displaying the real and imaginary parts individually, the calculator offers a magnitude check output. After converting to rectangular form, it computes √(a² + b²) and compares the result against the original r. A correct conversion recovers the original modulus exactly. Discrepancies on the order of 10−15 are normal IEEE 754 double-precision floating-point rounding effects and do not indicate an error in the conversion.
Worked Examples
Example 1: 45° (First Quadrant)
Convert z = 5∠45° to rectangular form.
- a = 5 × cos(45°) = 5 × 0.70711 ≈ 3.5355
- b = 5 × sin(45°) = 5 × 0.70711 ≈ 3.5355
- Result: z ≈ 3.5355 + 3.5355i
Example 2: 120° (Second Quadrant, Negative Real Part)
Convert z = 10∠120° to rectangular form.
- a = 10 × cos(120°) = 10 × (−0.5) = −5.000
- b = 10 × sin(120°) = 10 × 0.86603 ≈ 8.660
- Result: z = −5 + 8.660i
Example 3: Radian Input (π/6)
Convert z = 4∠(π/6) to rectangular form.
- a = 4 × cos(π/6) = 4 × 0.86603 ≈ 3.464
- b = 4 × sin(π/6) = 4 × 0.5 = 2.000
- Result: z ≈ 3.464 + 2i
Real-World Applications
Polar-to-rectangular conversion is essential across multiple engineering and scientific fields:
- AC Electrical Engineering: Phasors representing voltage, current, and impedance are expressed in polar form. Adding or subtracting phasors — required by Kirchhoff's voltage and current laws — demands rectangular form. As demonstrated in Caltech's guide to complex numbers in circuit analysis, converting between forms is a routine task when analyzing RLC circuits.
- Signal Processing: Fourier transforms yield frequency-domain components in polar form (amplitude and phase). Filtering algorithms operate in rectangular form, requiring constant conversion.
- Control Systems: Transfer function analysis and Bode plot interpretation involve converting between polar gain-phase representation and rectangular real-imaginary form.
- Navigation and Robotics: Range-and-bearing sensor data (polar) must convert to x-y grid coordinates (rectangular) for path planning and simultaneous localization and mapping (SLAM).
Methodology and References
The conversion formulas implemented here follow the standard treatment presented in Khan Academy's precalculus module on converting complex numbers from polar to rectangular form and the rigorous derivation provided in Paul Dawkins' Complex Number Primer at Lamar University. Additional academic grounding is drawn from the Grand Valley State University open-source textbook on complex numbers and polar coordinates. All computations use IEEE 754 double-precision arithmetic, providing approximately 15 to 17 significant digits of accuracy.
Reference