Math Problem Statement
do in subsitution, use Claim: cnlog(base6)9 - c'n(log^2)n
Solution
To solve the recurrence relation using the substitution method, we proceed as follows:
Recurrence Relation
Given:
Hypothesis for Induction
We assume a solution of the form: for some constants and , and we need to verify this assumption.
Base Case
First, check if this assumption holds for a small value of (e.g., ). Since we're primarily interested in large , the base case is typically straightforward and involves setting to the smallest value that makes sense in the context of the recurrence (usually or ).
Inductive Step
Assume that the hypothesis holds for some , i.e.,
Now substitute this into the recurrence relation:
Simplification
Let's simplify using logarithmic properties:
Substitute back:
Combine like terms:
Choosing and
- To satisfy the recurrence, choose , so that eliminates the negative term.
- The remaining terms should satisfy the original hypothesis:
Thus:
Conclusion
We have shown that for sufficiently large and appropriate choice of , the assumed form holds, which leads to the final bound: Since , this still gives a polynomial as expected.
Would you like more details or have any questions about this method?
Here are five related questions that might deepen your understanding:
- Why is the logarithm base important when analyzing the recurrence relation?
- How do you handle recurrence relations where is a non-polynomial function?
- What is the significance of the constants and in the substitution method?
- How does the substitution method differ from the Master Theorem in solving recurrences?
- 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 .
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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
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