Use generating functions conceptually (intro) - Discrete Math
- Consider the recurrence relation for with and . Which expression represents the generating function for the sequence ? Answer: , using the method of undetermined coefficients systematically This is a non-homogeneous recurrence. Let . From the recurrence for , multiply by and sum: . This gives . Substituting : . Rearranging: . Therefore . Choice A has the right structure but incorrect numerator form. Choice C incorrectly separates the generating function additively. Choice D has wrong coefficients in the numerator.
- The generating function counts the number of ways to make change using coins of denominations 1 and 3. What is the coefficient of in this generating function? Answer: , representing the distinct combinations of coins that sum to 7 When you encounter generating functions for coin change problems, you're looking at a powerful tool that encodes the number of ways to make each amount using specific denominations. The generating function represents using unlimited coins of value 1 and 3, where the coefficient of tells you how many ways you can make amount . To find the coefficient of , you need to determine how many non-negative integer solutions exist for , where is the number of 1-cent coins and is the number of 3-cent coins. Systematically checking values: when , (using seven 1's); when , (using four 1's and one 3); when , (using one 1 and two 3's). For , we'd need , so no solutions exist. This gives us exactly 3 distinct combinations. Answer A incorrectly suggests 6 through convolution calculations, likely from computational error. Answer B's result of 8 suggests counting ordered arrangements rather than combinations—but generating functions count combinations, not permutations. Answer C's value of 5 represents systematic enumeration but with an incorrect count, possibly double-counting or including invalid combinations. Remember: in coin change generating functions, coefficients count distinct combinations of coins, not arrangements. Always convert to the equation and solve systematically for non-negative integers.
- Consider the generating function . If , what can be said about the growth rate of the coefficients as ? Answer: The coefficients grow super-exponentially, faster than any exponential function but slower than factorial When analyzing the growth rate of coefficients in a generating function, you need to examine the singularities and behavior of the function to determine how quickly the coefficients grow. For , the key insight is examining what happens near the dominant singularity at . As , the expression grows like , which approaches infinity. This means has essential singularity behavior near , growing faster than any polynomial power of . Using singularity analysis techniques, when a generating function has an essential singularity of the form near , the coefficients grow super-exponentially. Specifically, they grow faster than for any fixed , but slower than . This places the growth in the super-exponential category, making (C) correct. (A) is wrong because exponential growth occurs when you have simple pole singularities, not essential singularities. (B) is incorrect since polynomial growth corresponds to functions with algebraic singularities, not the exponential-type singularity we have here. (D) is wrong because factorial growth would require a more severe singularity structure. Strategy tip: When you see generating functions with exponential expressions involving , immediately think super-exponential growth. The essential singularity created by the exponential function is the telltale sign that coefficients will grow faster than any exponential but slower than factorial.
- Consider the generating function . If this generating function is shifted to start from the constant term (i.e., we define ), what recurrence relation does the resulting sequence satisfy? Answer: with initial conditions determined by the shift operation Starting with , when we define , we get a generating function with denominator . The generating function corresponds to the sequence of triangular numbers (shifted): the coefficient of is . For a generating function of the form , the corresponding recurrence comes from the fact that satisfies . For , we have , so the recurrence relation is for , which rearranges to . Choice B has the wrong number of terms and coefficients. Choice C incorrectly shifts the indices in the recurrence. Choice D uses incorrect coefficients that don't match the expansion.
- A sequence satisfies , , and for . If we define , what is the closed form of ? Answer: , derived through careful manipulation of the shifted series We have , where is the standard generating function for . From the recurrence , we get . Therefore, . Choice A incorrectly computes the numerator after the shift. Choice C has the wrong sign in the denominator. Choice D has an incorrect numerator that doesn't account for the initial conditions properly.
- Consider the generating function . This function represents a sequence where each term depends on how many previous terms? Answer: Each term depends on the previous 3 terms only The denominator 1 - x - x² - x³ indicates a third-order recurrence relation. From G(x) = x²/(1 - x - x² - x³), we can derive that the sequence satisfies aₙ = aₙ₋₁ + aₙ₋₂ + aₙ₋₃ for n ≥ 3, after accounting for initial conditions determined by the numerator x². This is a third-order linear recurrence, meaning each term depends on exactly the previous 3 terms. Choice A would correspond to denominator 1 - ax - bx², choice C suggests a variable-order recurrence (which this is not), choice D would require an infinite sum in the denominator.
- Two sequences and have generating functions and respectively. What is the coefficient of in the generating function for the sequence where ? Answer: W(x) = U(x) + V(x) = 1/(1-2x) + x/(1-x-x²). From U(x) = ∑2ⁿxⁿ, we get u₄ = 2⁴ = 16. For V(x) = x/(1-x-x²), this generates the Fibonacci sequence shifted: v₀ = 0, v₁ = 1, v₂ = 1, v₃ = 2, v₄ = 3 (since V(x) = x·F(x) where F(x) is the standard Fibonacci generating function). Therefore w₄ = u₄ + v₄ = 16 + 3 = 19. Choice A gives only u₄, choice C and D represent common arithmetic errors in computing Fibonacci terms or powers of 2.
- Consider the generating function . If this represents the generating function for a sequence satisfying a homogeneous linear recurrence, what is the characteristic equation of that recurrence? Answer: with initial conditions requiring specific determination For a generating function of the form , the corresponding recurrence relation is for . Here we have , so and . This gives the recurrence , or equivalently . The characteristic equation is . Choice B incorrectly flips signs. Choice C incorrectly reverses the coefficient order. Choice D swaps the middle and last coefficients.
- The generating function can be expanded using partial fractions. If , what sequence property can be directly inferred about the coefficients in ? Answer: for all When you see a generating function with partial fractions, you're looking at a powerful tool that directly reveals the form of the sequence coefficients. Each term in the partial fraction decomposition corresponds to a specific pattern in the resulting sequence. First, let's find the values of A and B. Using partial fractions on , we get . Setting gives , so . Setting gives , so . The key insight is that and . Therefore, . Choice A incorrectly focuses on growth rates rather than the explicit formula. Choice B uses the correct general form but incorrectly includes the term explicitly, when simplifies to just a constant. Choice C gives a recurrence relation, which while mathematically equivalent, isn't what we can "directly infer" from the partial fraction form—that requires additional work. Choice D correctly recognizes that the partial fraction decomposition immediately gives us . Remember: partial fractions in generating functions directly translate to explicit formulas for sequence terms. Each fraction contributes to the coefficient formula.
- Two sequences and have generating functions related by , where . What is the relationship between the sequences and ? Answer: for , derived from the differentiation and multiplication rules When working with generating functions and derivatives, you need to carefully apply differentiation rules and track how they affect the corresponding sequences. Starting with , you can recognize this as the generating function for . To find , first multiply: . Now differentiate using the quotient rule: The generating function corresponds to the sequence for . This follows from the general formula that generates . Option A gives , which would correspond to a different generating function with an extra factor. Option B incorrectly sets and uses instead of , suggesting confusion about index shifts. Option C adds an extra term that doesn't arise from the differentiation process. Study tip: When differentiating generating functions, remember that often increases the power of coefficients by 1. Practice recognizing standard forms like .
- The generating function corresponds to a sequence that satisfies a second-order linear recurrence. What are the characteristic roots of this recurrence relation? Answer: The generating function G(x) = 2/(1 - 4x + 3x²) corresponds to the recurrence aₙ = 4aₙ₋₁ - 3aₙ₋₂. The characteristic equation is r² - 4r + 3 = 0, which factors as (r - 1)(r - 3) = 0, giving roots r₁ = 1 and r₂ = 3. Choice B gives the same roots in different order (which is equivalent), choice C incorrectly uses coefficients from the denominator directly, choice D has wrong signs.
- Consider the recurrence relation for with initial conditions and . If is the generating function for this sequence, what is the correct form of after applying the recurrence relation method? Answer: Starting with G(x) = a₀ + a₁x + a₂x² + ..., we multiply the recurrence by xⁿ and sum. This gives G(x) - a₀ - a₁x = 3x(G(x) - a₀) - 2x²G(x). Substituting a₀ = 1 and a₁ = 4: G(x) - 1 - 4x = 3x(G(x) - 1) - 2x²G(x). Expanding: G(x) - 1 - 4x = 3xG(x) - 3x - 2x²G(x). Collecting terms: G(x)(1 - 3x + 2x²) = 1 + x. Therefore G(x) = (1 + x)/(1 - 3x + 2x²). Choice B has wrong signs in denominator, choice C has wrong sign on 3x term, choice D has wrong numerator.
- The generating functions and are related to sequences with special properties. What is the relationship between the sequences and ? Answer: for all and When you encounter generating functions, you're looking at a powerful tool that encodes sequence information in polynomial form. The key insight is that algebraic relationships between generating functions translate directly to relationships between their coefficient sequences. To find the relationship between and , let's first expand these generating functions. For , we can use the geometric series formula: . This means and . For , we get . Therefore, , , , , and so on. Notice that , , . In general, for , and . This confirms answer D. Looking at the wrong answers: A incorrectly states the relationship holds for even when it actually holds for odd . B has the right parity but wrong formula - it's not . C suggests a recurrence relation that doesn't match our coefficient analysis. Study tip: When comparing generating functions, multiply or factor them algebraically first, then extract coefficients systematically. The algebraic manipulation often reveals the sequence relationship immediately.
- A sequence satisfies for with and . If we want to find the coefficient of in the generating function , which intermediate step correctly represents the algebraic manipulation needed? Answer: From the recurrence aₙ = aₙ₋₁ + aₙ₋₂, multiplying by xⁿ and summing gives ∑aₙxⁿ = ∑aₙ₋₁xⁿ + ∑aₙ₋₂xⁿ. This becomes G(x) - a₀ - a₁x = x(G(x) - a₀) + x²G(x). With a₀ = 0, a₁ = 1: G(x) - x = xG(x) + x²G(x). Rearranging: G(x) - xG(x) - x²G(x) = x, so (1 - x - x²)G(x) = x. Choice A incorrectly places x outside, choice B is the same error, choice D has wrong signs in the factor.
- A sequence satisfies for . If the generating function has the form , and we know that , , what must be the degree of polynomial ? Answer: has degree 1 (linear polynomial) For a second-order recurrence aₙ = caₙ₋₁ + daₙ₋₂, the generating function has the form G(x) = (a₀ + (a₁ - ca₀)x)/(1 - cx - dx²). Here c = 5, d = -6, so the denominator is 1 - 5x + 6x². The numerator P(x) = b₀ + (b₁ - 5b₀)x. Since we need exactly two initial conditions to determine a second-order recurrence completely, and we're given b₂ and b₃, we can work backwards to find b₀ and b₁. This gives P(x) as a linear polynomial (degree 1). Choice A would only work if b₁ = 5b₀, choice C would suggest a third-order recurrence, choice D is impossible for a second-order recurrence.
- The sequence satisfies the recurrence for with and . If is the generating function for this sequence, which equation must satisfy? Answer: Starting with the recurrence relation , multiply by and sum from to : . This gives . Substituting and : . Expanding: . Rearranging: . Therefore . Choice A incorrectly starts the generating function equation. Choice B gives the closed form but not the functional equation. Choice D uses an incorrect indexing approach.
- A sequence has generating function . If we factor the denominator as where , what can we conclude about the long-term behavior of as ? Answer: grows like with the ratio approaching When you encounter a generating function problem asking about long-term behavior, you need to analyze the poles (roots of the denominator) to understand how the sequence behaves asymptotically. First, let's factor the denominator . Setting it equal to zero: , which factors as . So and . This means the denominator factors as where and . Using partial fraction decomposition, we can write for some constants and . Each term generates the sequence , so . Since grows much faster than the constant , the dominant term is . Therefore, grows like , and approaches as . This confirms answer (C). (A) is wrong because grows exponentially, not toward a constant. (B) is incorrect because both roots are positive, so no alternating behavior occurs. (D) is false because the sequence grows rather than decreases—the dominant root causes exponential growth. Study tip: The largest root in the denominator always determines long-term behavior. If the largest root , expect exponential growth; if , expect decay to zero.