Worked Example: Worked Mathematical Example: De Moivre’s Complex Power & Roots
Compute polar modulus r, argument θ, complex power z^n, and principal root z^(1/n).
- Specify the function parameters, matrix entries, or confusion matrix counts.
- Apply the closed-form or iterative formula: r = √(a² + b²); θ = atan2(b, a); z^n = r^n × [ cos(nθ) + i·sin(nθ) ].
- Examine the primary result, error bounds, and 3 interactive SVG plots.
Result: Computes De Moivre’s Complex Power & Roots via r = √(a² + b²); θ = atan2(b, a); z^n = r^n × [ cos(nθ) + i·sin(nθ) ].
Mathematics & Statistics · Linear Algebra & Vectors
De Moivre’s Theorem Complex Power (a + bi)^n, Polar Form (r∠θ) & Principal Root Calculator: inputs, method, and how to read the result
Compute polar modulus r, argument θ, complex power z^n, and principal root z^(1/n).
Choose inputs for the case you are checking
The defaults are illustrative. Replace them with values for your case and keep the units shown beside each field.
- Real Part A: Real component a of z = a + bi.
- Imaginary Part B: Imaginary component b of z = a + bi.
- Exponent Power N: Power / root index n.
What the calculation includes
With the default values shown, Modulus |z^3| = r^3 is 125 Re=-117, Im=44. The calculation follows De Moivre’s Complex Power & Roots Formula; the formula and variable definitions above show how the inputs combine.
One-input check: With the other defaults held constant, changing Real Part A from 3 Re(z) to 4 Re(z) changes Modulus |z^3| = r^3 from 125 Re=-117, Im=44 to 181.019 Re=-128, Im=128. This is a comparison inside the calculator's stated model, not a prediction.
Where to use caution
- Uses exact analytical or standard numerical analysis formulations from NIST DLMF.
- Double-precision floating-point arithmetic has ~15–17 significant decimal digits of precision.
Scope: Global Mathematical & Statistical Standard Check the assumptions and limitations against your situation before relying on the estimate.
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