To solve the recurrence relation given by \( f(n) = 5f(n/2) + 3 \) with the initial condition \( f(1) = 7 \), we can use the method of iteration to find a pattern and derive a general formula for \( f(n) \). Our goal is to express \( f(2k) \) for a positive integer \( k \) and also estimate \( f(n) \) under the assumption that \( f \) is an increasing function.
Step-by-Step Iteration
Let's start by substituting values into the recurrence relation to see how \( f(n) \) evolves:
- For \( n = 1 \):
We know \( f(1) = 7 \).
- For \( n = 2 \):
Using the recurrence, we have:
\( f(2) = 5f(1) + 3 = 5 \cdot 7 + 3 = 35 + 3 = 38 \).
- For \( n = 4 \):
Now substituting \( n = 4 \):
\( f(4) = 5f(2) + 3 = 5 \cdot 38 + 3 = 190 + 3 = 193 \).
- For \( n = 8 \):
Next, we calculate \( f(8) \):
\( f(8) = 5f(4) + 3 = 5 \cdot 193 + 3 = 965 + 3 = 968 \).
Identifying a Pattern
From our calculations, we have:
- \( f(1) = 7 \)
- \( f(2) = 38 \)
- \( f(4) = 193 \)
- \( f(8) = 968 \)
Next, let's look for a general formula. Notice that each time we double \( n \), the function seems to grow significantly. We can express \( f(2^k) \) in terms of \( k \).
General Formula Derivation
To derive a formula, we can express \( f(2^k) \) recursively:
- \( f(2^k) = 5f(2^{k-1}) + 3 \)
Now, substituting \( f(2^{k-1}) \) recursively:
- \( f(2^{k-1}) = 5f(2^{k-2}) + 3 \)
- Continuing this substitution leads to a series:
After \( k \) iterations, we can express it as:
- \( f(2^k) = 5^k f(1) + 3(5^{k-1} + 5^{k-2} + ... + 5^0) \)
The series \( 5^{k-1} + 5^{k-2} + ... + 5^0 \) is a geometric series that sums to:
\( \frac{5^k - 1}{5 - 1} = \frac{5^k - 1}{4} \).
Thus, we can rewrite \( f(2^k) \) as:
\( f(2^k) = 5^k \cdot 7 + 3 \cdot \frac{5^k - 1}{4} \).
Combining these terms gives:
\( f(2^k) = \frac{20 \cdot 5^k + 3 \cdot 5^k - 3}{4} = \frac{23 \cdot 5^k - 3}{4} \).
Final Expression for f(2k)
Now, substituting \( n = 2k \) into our derived formula, we find:
\( f(2k) = \frac{23 \cdot 5^k - 3}{4} \).
Estimating f(n) for Increasing Function
Since \( f(n) \) is an increasing function, we can estimate \( f(n) \) for any \( n \) that is a power of 2. For general \( n \), we can use the fact that \( f(n) \) grows exponentially due to the \( 5^k \) term. Thus, we can say:
For large \( n \), \( f(n) \) behaves like \( O(5^{\log_2 n}) \), which simplifies to \( O(n^{\log_2 5}) \), indicating that \( f(n) \) grows faster than linear but slower than quadratic.
This gives us a good estimate of how \( f(n) \) behaves as \( n \) increases, confirming that it is indeed an increasing function.