Non-Homogeneous Recurrence Relations
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CS 312: Algorithm Analysis
Lecture #8: Non-Homogeneous
Recurrence Relations
Slides by: Eric Ringger, with contributions from Mike Jones, Eric Mercer, Sean Warnick
Announcements
HW #5: due now
Start Project #2!
Budget enough time
Be sure to keep up in the required reading
listed on the schedule in Learning Suite
Convex Hull (Proj. #2)
Objectives
Big Picture:
Develop a method to analyze recursive divide and
conquer algorithms
Work up to a proof of the Master Theorem
Find specific solutions using initial conditions
Understand how to solve
non-homogeneous, linear, recurrence relations
with constant coefficients
Having geometric forcing functions
Example (cont.): Linear, Homogeneous
Recurrence Relation
General Solution: Linear
Combinations
Starting things off
How many sequences does this recurrence relation describe?
Here’s one:
0, 1, 5, 19, …
Here’s another:
1, 2, 4, 18, …
Notice: a different sequence for every initial condition.
Question: can we find the closed form for the 𝑛th number 𝑡𝑛 in
a specific sequence?
Given: 𝑡0 and 𝑡1
Find: 𝑡𝑛 = some function of 𝑛 ← known as the “specific solution”
Idea: Let’s start with the general solution
Finding the Specific Solution
Specific Solution: One point
Fibonacci in Closed Form!
Fundamental Theorem of Algebra
For every polynomial of degree n, there
are exactly n roots.
They may not be unique.
Roots of Multiplicity j
Roots of Multiplicity j
Roots of Multiplicity j
Example
CS 312: Algorithm Analysis
Remainder of Lecture #8:
Non-homogeneous Linear
Recurrence Relations
Non-Homogeneous, Linear
Recurrence Relations
𝑎0 𝑡𝑛 + 𝑎1 𝑡𝑛−1 + 𝑎2 𝑡𝑛−2 + … 𝑎𝑘 𝑡𝑛−𝑘 = 𝑓 𝑛
Where:
𝑓 𝑛 ≠0
𝑓 𝑛 = 𝑏𝑛 ⋅ 𝑝 𝑛
Called a “geometric forcing function”
𝑝 𝑛 is a polynomial of degree 𝑑
Non-Homogeneous Example
1. Substitute 𝑛 − 1 into ®:
2. Divide ® by 𝑏:
3. Subtract (2) from (1):
4. Simplify:
What do you notice about the problem now?
Example (Cont.)
Coincidence?
Original Non-homogeneous recurrence:
𝑡𝑛 − 3𝑡𝑛−1 = 4𝑛
Reduced to a Homogeneous recurrence:
𝑡𝑛 − 7𝑡𝑛−1 + 12𝑡𝑛−2 = 0
General solution (to both):
𝑡𝑛 = 𝑐1 3𝑛 + 𝑐2 4𝑛
This pattern holds in general!
The Characteristic Equation Theorem:
𝑎0 𝑡𝑛 + 𝑎1 𝑡𝑛−1 + 𝑎2 𝑡𝑛−2 + ⋯ + 𝑎𝑘 𝑡𝑛−𝑘 = 𝑏 𝑛 ⋅ 𝑝 𝑛
(where 𝑝 𝑛 has degree 𝑑) has characteristic equation:
𝑎0 𝑟 𝑘 + 𝑎1 𝑟 𝑘−1 + ⋯ + 𝑎𝑘 𝑟 − 𝑏 𝑑+1 = 0
Note: 𝑏 is a root of multiplicity 𝑑 + 1
The Characteristic Equation Theorem:
𝑎0 𝑡𝑛 + 𝑎1 𝑡𝑛−1 + 𝑎2 𝑡𝑛−2 + ⋯ + 𝑎𝑘 𝑡𝑛−𝑘 = 𝑏 𝑛 ⋅ 𝑝 𝑛
(where 𝑝 𝑛 has degree 𝑑) has characteristic equation:
𝑎0 𝑟 𝑘 + 𝑎1 𝑟 𝑘−1 + ⋯ + 𝑎𝑘 𝑟 − 𝑏 𝑑+1 = 0
Note: 𝑏 is a root of multiplicity 𝑑 + 1
Initial Conditions
Example (cont.)
Example (cont.)
Towers of Hanoi Revisited
Exercise on HW #6
Assignment
Read: Recurrence Relations Notes
HW #6:
Part II Exercises (Section 2.2)
Towers of Hanoi using method of recurrence
relations.
Extra Slides
Possible DC Solution: Step 1
Given set of n points
Divide into two subsets
L containing the leftmost points
R containing the rightmost points
All points with same x coordinate
Assign to the same subset
Even if this makes the division not exactly
into halves
Possible DC Solution: Step 2
Compute the convex hulls of L and R
recursively
Possible DC Solution: Step 3
Combine the left hull CH(L) and the right hull CH(R):
Find the two edges known as the upper and lower common
tangents (shown in red)
Common tangent: a line segment in the exterior of both
polygons intersecting each polygon at a single vertex or a single
edge.
The line containing the common tangent does not intersect the
interior of either polygon
Possible DC Solution: Tips
Find the upper common tangent:
Scan around the left hull in a clockwise direction and around the
right hull in a counter-clockwise direction
Come up with the details of finding the common tangents
– hints available in the guidelines document
The tangents divide each hull into two pieces
Delete the right edges belonging to the left hull and the
left edges belonging to the right hull