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big-orecurrence

Recurrence Relation: Solving Big O of T(n-1)

I'm solving some recurrence relation problems for Big O and so far up till this point have only encountered recurrence relations that involved this form:

T(n) = a*T(n/b) + f(n)

For the above, it's quite easy for me to find the Big O notation. But I was recently thrown a curve ball with the following equation:

T(n) = T(n-1) + 2

I'm not really sure how to go around solving this for Big O. I've actually tried plugging in the equation as what follows:

T(n) = T(n-1) + 2
T(n-1) = T(n-2)
T(n-2) = T(n-3)

I'm not entirely sure if this is correct, but I'm stuck and need some help. Thanks!

Solution

  • Assuming T(1) = 0

    T(n) = T(n-1) + 2
 = (T(n-2) + 2) + 2
 = T(n-2) + 4
 = (T(n-3) + 2) + 4
 = T(n-3) + 6
 = T(n-k) + 2k

    Set k to n-1 and you have

    T(n) = 2n - 2

    Hence, it's O(n)