Find the last digit of the length of the vector y given by:
y = [ 2 2 3 − 2 3 2 ] 2 0 2 1 [ 5 2 5 1 ]
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I guessed.
Nice explanation! It might be easier to define A without the exponent, and interpret the exponent as "apply A to the vector 2 0 2 1 times" - at least that's how I think about matrix exponentiation geometrically.
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Let A be [ 2 2 3 − 2 3 2 ] 2 0 2 1 . The most natural way to solve this problem is to think about what A does to the vector's length. Notice that A looks suspiciously like the rotation matrix
[ cos ( θ ) sin ( θ ) − sin ( θ ) cos ( θ ) ]
Let's rewrite A . [ 2 2 3 − 2 3 2 ] 2 0 2 1 = 4 2 0 2 1 [ 2 1 2 3 − 2 3 2 1 ] 2 0 2 1 Notice that [ 2 1 2 3 − 2 3 2 1 ] 2 0 2 1 = [ cos ( 6 0 ° ) sin ( 6 0 ° ) − sin ( 6 0 ° ) cos ( 6 0 ° ) ] 2 0 2 1
So we know that this matrix rotates a vector by 6 0 ° 2021 times. Since rotating a vector has no effect on its length, the length of the vector which is being multiplied by the matrix is 1, the length of y is
∣ ∣ ∣ ∣ ∣ ∣ 4 2 0 2 1 [ 2 1 2 3 − 2 3 2 1 ] 2 0 2 1 [ 5 2 5 1 ] ∣ ∣ ∣ ∣ ∣ ∣ = ∣ ∣ ∣ ∣ ∣ 4 2 0 2 1 [ 5 2 5 1 ] ∣ ∣ ∣ ∣ ∣ = 4 2 0 2 1 × 1 = 4 2 0 2 1 . Powers of 4 with positive exponents always end with 4 or 6. For odd exponents, they end with 4 , and for even exponents they end with 6 . So the length of the vector ends with 4 .