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Calculate i^n using the cyclic pattern of the imaginary unit with step-by-step solutions.

Calculate i^n

The Cyclic Pattern of i

i^0
1
i^1
i
i^2
-1
i^3
-i

Result

i^n
-i
Exponent (n) 7
n mod 4 3
Cycle Position 4th (i^3 = -i)
n = 4q + r 7 = 4(1) + 3

Step-by-Step Solution

i^7 = i^(4*1+3) = (i^4)^1 * i^3 = 1 * (-i) = -i
ni^nn mod 4

Understanding Powers of i (Imaginary Unit)

The imaginary unit i is defined as the square root of -1. It was introduced to extend the real number system to the complex numbers, allowing solutions to equations like x^2 + 1 = 0. The powers of i follow a repeating cycle of length 4, making them predictable and easy to compute.

The Cyclic Pattern

The key insight is that powers of i repeat every 4 steps:

i^0 = 1

Any number to the zero power equals 1, including i.

i^0 = 1 (remainder 0)

i^1 = i

The imaginary unit itself.

i^1 = i (remainder 1)

i^2 = -1

By definition, i squared equals negative one.

i^2 = -1 (remainder 2)

i^3 = -i

i cubed equals i^2 times i, which is -1 times i.

i^3 = -i (remainder 3)

How to Calculate i^n

To find i^n for any integer n, simply divide n by 4 and look at the remainder. The remainder determines the result: 0 gives 1, 1 gives i, 2 gives -1, and 3 gives -i. For negative exponents, first make the remainder positive by adding 4.

Negative Exponents

For negative values of n, we use i^(-n) = 1/i^n. Since i^(-1) = 1/i = -i (multiply top and bottom by -i), the pattern for negative exponents is: i^(-1) = -i, i^(-2) = -1, i^(-3) = i, i^(-4) = 1, and then the cycle repeats.

Why Does the Pattern Repeat?

Since i^4 = (i^2)^2 = (-1)^2 = 1, multiplying by i^4 is the same as multiplying by 1. Therefore i^n = i^(n+4) for all integers n, giving us the period-4 cycle. This is an example of cyclic group behavior in abstract algebra.

Applications

  • Electrical engineering: AC circuit analysis uses complex numbers extensively, where i (called j by engineers) represents phase shifts.
  • Quantum mechanics: The Schrodinger equation involves i, and powers of i appear in wave functions.
  • Signal processing: The Fourier transform uses e^(ix) = cos(x) + i*sin(x), involving powers of i.
  • Complex analysis: Understanding powers of i is fundamental to working with complex functions.