Math Problem Statement

do in subsitution, use Claim: cnlog(base6)9 - c'n(log^2)n

Solution

To solve the recurrence relation T(n)=9T(n3)+nlog2nT(n) = 9T\left(\frac{n}{3}\right) + n\log^2{n} using the substitution method, we proceed as follows:

Recurrence Relation

Given: T(n)=9T(n3)+nlog2nT(n) = 9T\left(\frac{n}{3}\right) + n\log^2{n}

Hypothesis for Induction

We assume a solution of the form: T(n)cnlog69cn(log2n)T(n) \leq c n \log_6{9} - c' n (\log^2{n}) for some constants cc and cc', and we need to verify this assumption.

Base Case

First, check if this assumption holds for a small value of nn (e.g., n=1n = 1). Since we're primarily interested in large nn, the base case is typically straightforward and involves setting nn to the smallest value that makes sense in the context of the recurrence (usually n=1n = 1 or n=3n = 3).

Inductive Step

Assume that the hypothesis holds for some n1n \geq 1, i.e., T(n3)cn3log69cn3log2n3T\left(\frac{n}{3}\right) \leq c \cdot \frac{n}{3} \log_6{9} - c' \cdot \frac{n}{3} \log^2{\frac{n}{3}}

Now substitute this into the recurrence relation: T(n)=9T(n3)+nlog2nT(n) = 9T\left(\frac{n}{3}\right) + n\log^2{n} 9(cn3log69cn3log2n3)+nlog2n\leq 9 \left( c \cdot \frac{n}{3} \log_6{9} - c' \cdot \frac{n}{3} \log^2{\frac{n}{3}} \right) + n\log^2{n} =3cnlog693cnlog2n3+nlog2n= 3cn \log_6{9} - 3c'n \log^2{\frac{n}{3}} + n \log^2{n}

Simplification

Let's simplify log2n3\log^2{\frac{n}{3}} using logarithmic properties: logn3=lognlog3\log{\frac{n}{3}} = \log{n} - \log{3} log2n3=(lognlog3)2=log2n2lognlog3+log23\log^2{\frac{n}{3}} = (\log{n} - \log{3})^2 = \log^2{n} - 2\log{n}\log{3} + \log^2{3}

Substitute back: T(n)3cnlog693cn(log2n2lognlog3+log23)+nlog2nT(n) \leq 3cn \log_6{9} - 3c'n (\log^2{n} - 2\log{n}\log{3} + \log^2{3}) + n \log^2{n} =3cnlog693cnlog2n+6cnlognlog33cnlog23+nlog2n= 3cn \log_6{9} - 3c'n \log^2{n} + 6c'n\log{n}\log{3} - 3c'n\log^2{3} + n \log^2{n}

Combine like terms: T(n)nlog2n(13c)+3cnlog69+6cnlognlog33cnlog23T(n) \leq n\log^2{n}(1 - 3c') + 3cn \log_6{9} + 6c'n\log{n}\log{3} - 3c'n\log^2{3}

Choosing cc and cc'

  • To satisfy the recurrence, choose c=13c' = \frac{1}{3}, so that 13c=01 - 3c' = 0 eliminates the negative term.
  • The remaining terms should satisfy the original hypothesis: T(n)nlog2n×0+3cnlog69+6cnlognlog33cnlog23T(n) \leq n\log^2{n} \times 0 + 3cn \log_6{9} + 6c'n\log{n}\log{3} - 3c'n\log^2{3}

Thus: T(n)cnlog69+O(nlogn)T(n) \leq cn\log_6{9} + O(n\log{n})

Conclusion

We have shown that for sufficiently large cc and appropriate choice of cc', the assumed form holds, which leads to the final bound: T(n)=O(nlog69)=O(n2)T(n) = O(n \log_6{9}) = O(n^2) Since log69=log9log6\log_6{9} = \frac{\log{9}}{\log{6}}, this still gives a polynomial T(n)=O(n2)T(n) = O(n^2) as expected.


Would you like more details or have any questions about this method?

Here are five related questions that might deepen your understanding:

  1. Why is the logarithm base important when analyzing the recurrence relation?
  2. How do you handle recurrence relations where f(n)f(n) is a non-polynomial function?
  3. What is the significance of the constants cc and cc' in the substitution method?
  4. How does the substitution method differ from the Master Theorem in solving recurrences?
  5. Can you apply the substitution method to a recurrence relation that results in an exponential function?

Tip: When using the substitution method, it's important to carefully choose the constants in your hypothesis to ensure that the inequality holds true for the entire range of nn.

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Math Problem Analysis

Mathematical Concepts

Recurrence Relations
Substitution Method
Logarithmic Functions

Formulas

Substitution method for solving recurrence relations

Theorems

Big-O notation

Suitable Grade Level

Graduate Level