an the master method be applied to the recurrence T(n) = 4T(n²) +n²logn Why or why not? Give an asymptotic upper bound for this recurrence.

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### Discussing Applicability of the Master Theorem for Solving Recurrences

#### Problem Statement:
**Can the master method be applied to the recurrence \( T(n) = 4T(n^2) + n^2 \log n \)? Why or why not? Give an asymptotic upper bound for this recurrence.**

#### Solution:

The given recurrence relation is \( T(n) = 4T(n^2) + n^2 \log n \).

In order to determine if we can apply the Master Theorem, let’s identify the values of \( a \), \( b \), and \( f(n) \) in the equation \( T(n) = aT\left(\frac{n}{b}\right) + f(n) \).

For the given recurrence:

- \( a = 4 \)
- \( b = n \)
- \( f(n) = n^2 \log n \)

However, notice that the problem is not in a typical form \( T(n) = aT\left(\frac{n}{b}\right) + f(n) \) because \( b \) is not a constant but a function of \( n \), specifically \( b = n^2 \).

#### Transformation Approach:
To make it analyzable by the Master Theorem, we can try a transformation approach by letting \( m = \log n \). Therefore, \( n = 2^m \).

Substitute \( n = 2^m \):

1. \( T(2^m) = 4T(2^{m/2}) + (2^m)^2 \log(2^m) \)
2. Since \( \log(2^m) = m \):
   \[
   T(2^m) = 4T(2^{m/2}) + 2^{2m} m
   \]

Let \( S(m) = T(2^m) \), then:

3. \( S(m) = 4S(m/2) + 2^{2m} m \)

Now, we apply the Master Theorem:

- Identify the components:
  - \( a = 4 \)
  - \( b = 2 \)
  - \( f(m) = 2^{2m} m \)

#### Compare with \( f(m) \):
- \( k = \log_b a = \
Transcribed Image Text:### Discussing Applicability of the Master Theorem for Solving Recurrences #### Problem Statement: **Can the master method be applied to the recurrence \( T(n) = 4T(n^2) + n^2 \log n \)? Why or why not? Give an asymptotic upper bound for this recurrence.** #### Solution: The given recurrence relation is \( T(n) = 4T(n^2) + n^2 \log n \). In order to determine if we can apply the Master Theorem, let’s identify the values of \( a \), \( b \), and \( f(n) \) in the equation \( T(n) = aT\left(\frac{n}{b}\right) + f(n) \). For the given recurrence: - \( a = 4 \) - \( b = n \) - \( f(n) = n^2 \log n \) However, notice that the problem is not in a typical form \( T(n) = aT\left(\frac{n}{b}\right) + f(n) \) because \( b \) is not a constant but a function of \( n \), specifically \( b = n^2 \). #### Transformation Approach: To make it analyzable by the Master Theorem, we can try a transformation approach by letting \( m = \log n \). Therefore, \( n = 2^m \). Substitute \( n = 2^m \): 1. \( T(2^m) = 4T(2^{m/2}) + (2^m)^2 \log(2^m) \) 2. Since \( \log(2^m) = m \): \[ T(2^m) = 4T(2^{m/2}) + 2^{2m} m \] Let \( S(m) = T(2^m) \), then: 3. \( S(m) = 4S(m/2) + 2^{2m} m \) Now, we apply the Master Theorem: - Identify the components: - \( a = 4 \) - \( b = 2 \) - \( f(m) = 2^{2m} m \) #### Compare with \( f(m) \): - \( k = \log_b a = \
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