Is The Sequence Decreasing? A Proof

by Andrew McMorgan 36 views

Hey guys, welcome back to Plastik Magazine! Today, we're diving deep into the fascinating world of sequences and series, a topic that might sound a bit intimidating at first, but trust me, it's super cool once you get the hang of it. We're going to tackle a specific recursive sequence and figure out if it's decreasing. So, grab your notebooks (or just relax and read along!), because we're about to break down this mathematical puzzle step-by-step. Our main focus today is to rigorously prove whether the sequence defined by a1=1a_1 = 1 and ak=βˆ‘i=1kβˆ’1ai(1kβˆ’iβˆ’1kβˆ’i+1)a_k = \sum\limits_{i=1}^{k-1}a_i\left(\frac{1}{k-i}-\frac{1}{k-i+1}\right) for kβ‰₯2k \ge 2 is a decreasing sequence. This means we need to show that each term is less than or equal to the previous term, i.e., ak≀akβˆ’1a_k \le a_{k-1} for all kβ‰₯2k \ge 2. This is a common problem in discrete mathematics, and understanding how to prove such properties is crucial for a lot of advanced mathematical concepts. We'll be exploring the relationship between terms and using the given recursive definition to our advantage. So, let's get started and unravel this mathematical mystery together!

Understanding the Recursive Definition

Alright, let's get down to business and really understand what this recursive definition is telling us. We're given a1=1a_1 = 1, which is our starting point. Then, for any term aka_k where kk is greater than or equal to 2, its value is determined by a sum involving all the previous terms (a1a_1 through akβˆ’1a_{k-1}). This is the essence of a recursive definition – each term depends on the ones that came before it. The specific formula for aka_k is ak=βˆ‘i=1kβˆ’1ai(1kβˆ’iβˆ’1kβˆ’i+1)a_k = \sum\limits_{i=1}^{k-1}a_i\left(\frac{1}{k-i}-\frac{1}{k-i+1}\right). Let's unpack that summation part. The term inside the sum has aia_i multiplied by a difference of two fractions: (1kβˆ’iβˆ’1kβˆ’i+1)\left(\frac{1}{k-i}-\frac{1}{k-i+1}\right). This difference of fractions is quite interesting. If we find a common denominator, which is (kβˆ’i)(kβˆ’i+1)(k-i)(k-i+1), the expression becomes (kβˆ’i+1)βˆ’(kβˆ’i)(kβˆ’i)(kβˆ’i+1)=1(kβˆ’i)(kβˆ’i+1)\frac{(k-i+1)-(k-i)}{(k-i)(k-i+1)} = \frac{1}{(k-i)(k-i+1)}. So, the formula for aka_k can be rewritten as ak=βˆ‘i=1kβˆ’1ai(kβˆ’i)(kβˆ’i+1)a_k = \sum\limits_{i=1}^{k-1}\frac{a_i}{(k-i)(k-i+1)}. This simplified form might make it easier to work with. It tells us that each new term aka_k is a weighted sum of all preceding terms, where the weights are given by 1(kβˆ’i)(kβˆ’i+1)\frac{1}{(k-i)(k-i+1)}. Notice that for a fixed kk, as ii increases, the denominator (kβˆ’i)(kβˆ’i+1)(k-i)(k-i+1) changes. Let's look at the first few terms to get a feel for this sequence. We know a1=1a_1 = 1. For k=2k=2, we have a2=βˆ‘i=11ai(12βˆ’iβˆ’12βˆ’i+1)=a1(12βˆ’1βˆ’12βˆ’1+1)=a1(11βˆ’12)=1(12)=12a_2 = \sum\limits_{i=1}^{1}a_i\left(\frac{1}{2-i}-\frac{1}{2-i+1}\right) = a_1\left(\frac{1}{2-1}-\frac{1}{2-1+1}\right) = a_1\left(\frac{1}{1}-\frac{1}{2}\right) = 1\left(\frac{1}{2}\right) = \frac{1}{2}. So, a2=12a_2 = \frac{1}{2}. Now for k=3k=3, a3=βˆ‘i=12ai(13βˆ’iβˆ’13βˆ’i+1)a_3 = \sum\limits_{i=1}^{2}a_i\left(\frac{1}{3-i}-\frac{1}{3-i+1}\right). This expands to a1(13βˆ’1βˆ’13βˆ’1+1)+a2(13βˆ’2βˆ’13βˆ’2+1)=a1(12βˆ’13)+a2(11βˆ’12)a_1\left(\frac{1}{3-1}-\frac{1}{3-1+1}\right) + a_2\left(\frac{1}{3-2}-\frac{1}{3-2+1}\right) = a_1\left(\frac{1}{2}-\frac{1}{3}\right) + a_2\left(\frac{1}{1}-\frac{1}{2}\right). Substituting the values we know: a3=1(16)+12(12)=16+14=2+312=512a_3 = 1\left(\frac{1}{6}\right) + \frac{1}{2}\left(\frac{1}{2}\right) = \frac{1}{6} + \frac{1}{4} = \frac{2+3}{12} = \frac{5}{12}. So, a3=512a_3 = \frac{5}{12}. Let's compare these terms: a1=1a_1 = 1, a2=12a_2 = \frac{1}{2}, a3=512a_3 = \frac{5}{12}. Since 1>121 > \frac{1}{2} and 12=612>512\frac{1}{2} = \frac{6}{12} > \frac{5}{12}, it looks like the sequence is decreasing. But we need a formal proof that holds for all kk. The structure of the sum, involving differences of reciprocals, is a common pattern in calculus and discrete math, often related to telescoping sums or approximations. Here, the term 1kβˆ’iβˆ’1kβˆ’i+1\frac{1}{k-i}-\frac{1}{k-i+1} can be seen as a small quantity that decreases as kβˆ’ik-i increases. This hints that later terms in the sum might contribute less, or that the weights themselves decrease in a specific way. Understanding these nuances is key to proving the decreasing nature of the sequence.

Proving the Sequence is Decreasing: The Strategy

Now, let's talk strategy for proving that our sequence aka_k} is indeed decreasing. To prove that a sequence {aka_k} is decreasing, we need to show that ak≀akβˆ’1a_k \le a_{k-1} for all kβ‰₯2k \ge 2. This is our ultimate goal. We've already calculated the first few terms (a1=1a_1=1, a2=1/2a_2=1/2, a3=5/12a_3=5/12) and they seem to follow this pattern. However, simply looking at the first few terms isn't enough for a mathematical proof. We need a method that works for any kk. There are a few common approaches to proving properties of recursively defined sequences. One powerful technique is mathematical induction. This involves proving a base case (which we've already started with k=2k=2) and then assuming the property holds for some arbitrary integer mm (the inductive hypothesis) and proving it also holds for m+1m+1. Another approach is to directly manipulate the recursive definition. We can write out the definitions for aka_k and akβˆ’1a_{k-1} and try to show that the difference akβˆ’akβˆ’1a_k - a_{k-1} is less than or equal to zero. Let's consider the direct manipulation approach first, as it often gives more insight into the structure of the sequence. We have the definition for aka_k $a_k = \sum\limits_{i=1^k-1}a_i\left(\frac{1}{k-i}-\frac{1}{k-i+1}\right)$. And for akβˆ’1a_{k-1}, we would replace kk with kβˆ’1k-1 $a_{k-1 = \sum\limits_i=1}^{k-2}a_i\left(\frac{1}{(k-1)-i}-\frac{1}{(k-1)-i+1}\right) = \sum\limits_{i=1}^{k-2}a_i\left(\frac{1}{k-1-i}-\frac{1}{k-i}\right)$. This looks a bit complicated to compare directly. The indices and the difference terms don't line up nicely. Let's go back to the simplified form of aka_k $a_k = \sum\limits_{i=1^{k-1}\frac{a_i}{(k-i)(k-i+1)}$. This might be more manageable. The challenge here is that aia_i itself is defined recursively. So, proving a_k le a_{k-1} directly might involve a lot of algebraic manipulation. A key insight might come from examining the terms aia_i inside the sum. If we can establish some bounds or properties for aia_i itself, it could simplify the proof. For example, if we can show that ai>0a_i > 0 for all ii, and that the weights 1(kβˆ’i)(kβˆ’i+1)\frac{1}{(k-i)(k-i+1)} decrease in a certain way as ii increases for a fixed kk, it might lead us to the solution. The expression 1(kβˆ’i)(kβˆ’i+1)\frac{1}{(k-i)(k-i+1)} is always positive for i<ki < k. So, aka_k is a sum of positive terms (assuming ai>0a_i > 0). This suggests that if a1>0a_1 > 0, then all subsequent terms will also be positive. This is a good starting point! Now, let's think about how to use induction. For induction, we'd first show a_2 le a_1. We have a1=1a_1=1 and a2=1/2a_2=1/2, so 1/2 le 1, which is true. The inductive hypothesis would be to assume a_m le a_{m-1} for all 2 le m le k. Then we'd need to prove a_{k+1} le a_k. This requires substituting the full recursive definition into the inequality, which can become quite dense. A more promising approach might be to try and find a simpler form or relation for aka_k. Sometimes, rewriting the original recurrence can lead to a breakthrough. Let's focus on the structure of the sum again. The term (1kβˆ’iβˆ’1kβˆ’i+1)\left(\frac{1}{k-i}-\frac{1}{k-i+1}\right) is a difference of consecutive terms in the harmonic sequence. This structure is often found in problems that simplify nicely.

Simplifying the Recursive Relation

Let's try to simplify the recursive relation to make the proof more straightforward. We have ak=βˆ‘i=1kβˆ’1ai(1kβˆ’iβˆ’1kβˆ’i+1)a_k = \sum\limits_{i=1}^{k-1}a_i\left(\frac{1}{k-i}-\frac{1}{k-i+1}\right). As we saw, the term in the parenthesis simplifies to 1(kβˆ’i)(kβˆ’i+1)\frac{1}{(k-i)(k-i+1)}. So, ak=βˆ‘i=1kβˆ’1ai(kβˆ’i)(kβˆ’i+1)a_k = \sum\limits_{i=1}^{k-1}\frac{a_i}{(k-i)(k-i+1)}. Now, let's consider the term aka_k for k+1k+1: ak+1=βˆ‘i=1kai(1(k+1)βˆ’iβˆ’1(k+1)βˆ’i+1)=βˆ‘i=1kai(k+1βˆ’i)(k+2βˆ’i)a_{k+1} = \sum\limits_{i=1}^{k}a_i\left(\frac{1}{(k+1)-i}-\frac{1}{(k+1)-i+1}\right) = \sum\limits_{i=1}^{k}\frac{a_i}{(k+1-i)(k+2-i)}. We want to show ak+1≀aka_{k+1} \le a_k. This still looks challenging. What if we try to rearrange the original equation differently? Let's look at the terms in the sum for aka_k: ak=a1(1kβˆ’1βˆ’1k)+a2(1kβˆ’2βˆ’1kβˆ’1)+β‹―+akβˆ’1(11βˆ’12)a_k = a_1\left(\frac{1}{k-1}-\frac{1}{k}\right) + a_2\left(\frac{1}{k-2}-\frac{1}{k-1}\right) + \dots + a_{k-1}\left(\frac{1}{1}-\frac{1}{2}\right). This is ak=a1(1(kβˆ’1)k)+a2(1(kβˆ’2)(kβˆ’1))+β‹―+akβˆ’1(11cdot2)a_k = a_1\left(\frac{1}{(k-1)k}\right) + a_2\left(\frac{1}{(k-2)(k-1)}\right) + \dots + a_{k-1}\left(\frac{1}{1 cdot 2}\right). Let's try to find a relation between aka_k and akβˆ’1a_{k-1} by manipulating the definition. Consider the expression for aka_k and akβˆ’1a_{k-1}. a_k = rac{a_1}{k-1} - rac{a_1}{k} + rac{a_2}{k-2} - rac{a_2}{k-1} + rac{a_3}{k-3} - rac{a_3}{k-2} + inom{ ext{general term } rac{a_i}{k-i} - rac{a_i}{k-i+1}}{ ext{ and so on}} + rac{a_{k-1}}{1} - rac{a_{k-1}}{2}. This expansion doesn't immediately reveal a telescoping sum. However, let's consider a different perspective. What if we look at the difference akβˆ’akβˆ’1a_k - a_{k-1}? This seems to be the most direct approach. We have a_k = rac{1}{2}a_1 + rac{1}{6}a_2 + rac{1}{12}a_3 + inom{ ext{general term } rac{a_i}{(k-i)(k-i+1)}}{ ext{ and so on}}. This is getting messy. Let's try to find a different way to express aka_k. Sometimes, these recursive sequences have a hidden closed-form or a simpler recurrence. Let's consider the quantity k rac{a_k}{a_{k-1}} or similar ratios. But we want to prove a_k le a_{k-1}. Let's rewrite the sum for aka_k in a way that groups terms differently. a_k = rac{a_1}{k(k-1)} + rac{a_2}{(k-1)(k-2)} + rac{a_3}{(k-2)(k-3)} + inom{ ext{general term } rac{a_{k-j}}{j(j+1)} ext{ where } j=k-i}}{ ext{ and so on}}. Let's rewrite the definition by splitting the sum: a_k = rac{a_1}{k-1} - rac{a_1}{k} + rac{a_2}{k-2} - rac{a_2}{k-1} + rac{a_3}{k-3} - rac{a_3}{k-2} + inom{ ext{general term } rac{a_i}{k-i} - rac{a_i}{k-i+1}}{ ext{ and so on}}. Let's rearrange the terms by grouping aia_i terms: a_k = - rac{a_1}{k} + rac{a_1 - a_2}{k-1} + rac{a_2 - a_3}{k-2} + rac{a_3 - a_4}{k-3} + inom{ ext{general term } rac{a_{i}-a_{i+1}}{k-i}}{ ext{ and so on}} + rac{a_{k-1}}{1}. This is incorrect rearrangement. Let's use the simplified form a_k = rac{a_1}{(k-1)k} + rac{a_2}{(k-2)(k-1)} + rac{a_3}{(k-3)(k-2)} + inom{ ext{general term } rac{a_{k-j}}{j(j+1)} ext{ for } j=1, inom{ ext{to } k-1}}{ ext{ and so on}}. Let's try to express aka_k in terms of akβˆ’1a_{k-1} and earlier terms. a_k = rac{a_1}{(k-1)k} + rac{a_2}{(k-2)(k-1)} + inom{ ext{general term } rac{a_{k-2}}{(2)(3)}}{ ext{ and so on}} + rac{a_{k-1}}{2 imes 1}. This sum is structured in a way that might lead to cancellation if we look at differences. Let's try to prove a_k le a_{k-1} using induction. Base case: a_2 = 1/2 le a_1 = 1. True. Inductive Hypothesis (IH): Assume a_m le a_{m-1} for 2 le m le k. We need to show a_{k+1} le a_k. ak+1=βˆ‘i=1kai(k+1βˆ’i)(k+2βˆ’i)a_{k+1} = \sum\limits_{i=1}^{k}\frac{a_i}{(k+1-i)(k+2-i)}. This still seems complex. Let's try to find a relationship that is easier to prove. What if we try to find an expression for aka_k that doesn't involve a sum directly? Let's re-examine a_k = rac{a_1}{k-1} - rac{a_1}{k} + rac{a_2}{k-2} - rac{a_2}{k-1} + inom{ ext{general term } rac{a_i}{k-i} - rac{a_i}{k-i+1}}{ ext{ and so on}}. Let j=kβˆ’ij=k-i. Then i=kβˆ’ji=k-j. When i=1i=1, j=kβˆ’1j=k-1. When i=kβˆ’1i=k-1, j=1j=1. So ak=βˆ‘j=1kβˆ’1akβˆ’j(1jβˆ’1j+1)=βˆ‘j=1kβˆ’1akβˆ’jj(j+1)a_k = \sum\limits_{j=1}^{k-1} a_{k-j} \left(\frac{1}{j} - \frac{1}{j+1}\right) = \sum\limits_{j=1}^{k-1} \frac{a_{k-j}}{j(j+1)}. This form looks more manageable for comparing terms. Let's use this form: a_k = rac{a_{k-1}}{1 imes 2} + rac{a_{k-2}}{2 imes 3} + rac{a_{k-3}}{3 imes 4} + inom{ ext{general term } rac{a_{k-j}}{j(j+1)}}{ ext{ and so on}} + rac{a_1}{(k-1)k}. Now let's write ak+1a_{k+1} using this form: a_{k+1} = \sum\limits_{j=1}^{k} \frac{a_{k+1-j}}{j(j+1)} = rac{a_k}{1 imes 2} + rac{a_{k-1}}{2 imes 3} + rac{a_{k-2}}{3 imes 4} + inom{ ext{general term } rac{a_{k+1-j}}{j(j+1)}}{ ext{ and so on}} + rac{a_1}{k(k+1)}. We want to show a_{k+1} le a_k. Using the new form: a_{k+1} = rac{a_k}{2} + rac{a_{k-1}}{6} + rac{a_{k-2}}{12} + inom{ ext{terms with smaller } a_i}{ ext{ and so on}}. And a_k = rac{a_{k-1}}{2} + rac{a_{k-2}}{6} + inom{ ext{terms with smaller } a_i}{ ext{ and so on}}. This still isn't directly showing a_{k+1} le a_k. However, notice that 1j(j+1)\frac{1}{j(j+1)} decreases as jj increases. This means the terms with larger jj (which correspond to earlier aia_i's) have smaller weights. This structure is key. Let's try to prove ak>0a_k > 0 for all kk by induction. Base case a1=1>0a_1 = 1 > 0. Assume ai>0a_i > 0 for 1 le i le k-1. Then ak=βˆ‘i=1kβˆ’1ai(kβˆ’i)(kβˆ’i+1)a_k = \sum\limits_{i=1}^{k-1}\frac{a_i}{(k-i)(k-i+1)}. Since ai>0a_i > 0 and 1(kβˆ’i)(kβˆ’i+1)>0\frac{1}{(k-i)(k-i+1)} > 0, their product is positive, and the sum of positive terms is positive. Thus, ak>0a_k > 0 for all kk. Now, let's analyze akβˆ’akβˆ’1a_k - a_{k-1}. This direct approach is proving tricky. Let's consider the possibility that the relation simplifies further or there's a trick. What if we look at the sum \sum_{i=1}^{k-1} a_i rac{1}{(k-i)(k-i+1)}? The terms 1(kβˆ’i)(kβˆ’i+1)\frac{1}{(k-i)(k-i+1)} form a decreasing sequence of weights for aia_i as ii increases from 11 to kβˆ’1k-1. That is, a1a_1 is multiplied by 1(kβˆ’1)k\frac{1}{(k-1)k}, a2a_2 by 1(kβˆ’2)(kβˆ’1)\frac{1}{(k-2)(k-1)}, ..., akβˆ’1a_{k-1} by 11imes2\frac{1}{1 imes 2}. The coefficient for akβˆ’1a_{k-1} is the largest. This might be useful. The simplified form a_k = rac{a_{k-1}}{2} + rac{a_{k-2}}{6} + inom{ ext{terms with smaller } a_i}{ ext{ and so on}} is very suggestive. If aka_k were simply proportional to akβˆ’1a_{k-1} with a coefficient less than 1, it would be decreasing. Here, it's a sum. Let's try to use induction more rigorously on the inequality a_k le a_{k-1}.

The Proof by Induction

Okay guys, we've explored the definitions and tried a few angles. The most robust way to prove this property for all kk is usually mathematical induction. We've already established our base case: a1=1a_1 = 1 and a2=1/2a_2 = 1/2. Clearly, a_2 le a_1 since 1/2 le 1. So, our base case for k=2k=2 holds. Now, for the inductive hypothesis, let's assume that the sequence is decreasing up to some integer m le k. That is, assume a_j le a_{j-1} for all 2 le j le m. Our goal is to prove that a_{m+1} le a_m. Let's use the definition: am+1=βˆ‘i=1mai(1(m+1)βˆ’iβˆ’1(m+1)βˆ’i+1)=βˆ‘i=1mai((m+1)βˆ’i)((m+1)βˆ’i+1)a_{m+1} = \sum\limits_{i=1}^{m}a_i\left(\frac{1}{(m+1)-i}-\frac{1}{(m+1)-i+1}\right) = \sum\limits_{i=1}^{m}\frac{a_i}{((m+1)-i)((m+1)-i+1)}. And am=βˆ‘i=1mβˆ’1ai(1mβˆ’iβˆ’1mβˆ’i+1)=βˆ‘i=1mβˆ’1ai(mβˆ’i)(mβˆ’i+1)a_m = \sum\limits_{i=1}^{m-1}a_i\left(\frac{1}{m-i}-\frac{1}{m-i+1}\right) = \sum\limits_{i=1}^{m-1}\frac{a_i}{(m-i)(m-i+1)}. Comparing these two sums directly is still a bit of a beast. However, we know from our inductive hypothesis that a_i le a_{i-1} for i le m. This means that the terms a_1, a_2, inom{ ext{up to }}{ ext{ and so on}} a_m are in non-increasing order. Let's consider the terms in the sum for am+1a_{m+1}: a_{m+1} = rac{a_1}{(m)(m+1)} + rac{a_2}{(m-1)(m)} + rac{a_3}{(m-2)(m-1)} + inom{ ext{general term } rac{a_i}{(m+1-i)(m+2-i)}}{ ext{ and so on}} + rac{a_m}{1 imes 2}. Let's rewrite the sum for ama_m using the same denominator structure for clarity, though the upper limit is mβˆ’1m-1: a_m = rac{a_1}{(m-1)m} + rac{a_2}{(m-2)(m-1)} + inom{ ext{general term } rac{a_i}{(m-i)(m-i+1)}}{ ext{ and so on}} + rac{a_{m-1}}{1 imes 2}. The challenge is relating the weights. Let's try a different inductive approach. Maybe we can prove a stronger property. Let's consider the quantity akβˆ’akβˆ’1a_k - a_{k-1} again. Using the form a_k = rac{a_{k-1}}{2} + rac{a_{k-2}}{6} + rac{a_{k-3}}{12} + inom{ ext{terms with smaller } a_i}{ ext{ and so on}}: a_k = rac{a_{k-1}}{1 imes 2} + rac{a_{k-2}}{2 imes 3} + inom{ ext{general term } rac{a_{k-j}}{j(j+1)} ext{ for } j=1, inom{ ext{to } k-1}}{ ext{ and so on}}. We want to show a_k le a_{k-1}. Consider the difference: a_k - a_{k-1} = rac{a_{k-1}}{2} + rac{a_{k-2}}{6} + inom{ ext{smaller terms}}{ ext{ and so on}} - a_{k-1} = - rac{1}{2}a_{k-1} + rac{a_{k-2}}{6} + inom{ ext{smaller terms}}{ ext{ and so on}}. This doesn't immediately show the difference is negative. However, let's reconsider the original form: a_k = \sum\limits_{i=1}^{k-1}a_iullet rac{1}{(k-i)(k-i+1)}. Let's try to show that aka_k is a weighted average of previous terms with weights that sum to less than 1, which would imply ak<extmax(ai)a_k < ext{max}(a_i). But this doesn't directly prove a_k le a_{k-1}. Let's focus on the simplified sum again: a_k = rac{a_{k-1}}{1 imes 2} + rac{a_{k-2}}{2 imes 3} + inom{ ext{general term } rac{a_{k-j}}{j(j+1)} ext{ for } j=1, inom{ ext{to } k-1}}{ ext{ and so on}}. We want to prove a_k le a_{k-1}. Let's assume, for the sake of induction, that a_i le a_{i-1} for all i le k-1. This means a_{k-1} le a_{k-2} le inom{ ext{and so on}}{ ext{ and so on}} le a_1. Therefore, a_i le a_{k-1} for all i le k-1. Now, let's use this in the expression for aka_k: a_k = rac{a_{k-1}}{1 imes 2} + rac{a_{k-2}}{2 imes 3} + rac{a_{k-3}}{3 imes 4} + inom{ ext{general term } rac{a_{k-j}}{j(j+1)}}{ ext{ and so on}} + rac{a_1}{(k-1)k}. Since a_i le a_{k-1} for all i le k-1, we can write: a_k le rac{a_{k-1}}{1 imes 2} + rac{a_{k-1}}{2 imes 3} + rac{a_{k-1}}{3 imes 4} + inom{ ext{general term } rac{a_{k-1}}{j(j+1)}}{ ext{ and so on}} + rac{a_{k-1}}{(k-1)k}. This simplifies to: a_k le a_{k-1} inom{\sum\limits_{j=1}^{k-1} \frac{1}{j(j+1)}} \$}. Now, the sum βˆ‘j=1kβˆ’11j(j+1)\sum\limits_{j=1}^{k-1} \frac{1}{j(j+1)} is a telescoping sum! 1j(j+1)=1jβˆ’1j+1\frac{1}{j(j+1)} = \frac{1}{j} - \frac{1}{j+1}. So, \sum\limits_{j=1}^{k-1} \left(\frac{1}{j} - \frac{1}{j+1}\right) = \left(1 - \frac{1}{2}\right) + \left(\frac{1}{2} - \frac{1}{3}\right) + inom{ ext{and so on}}{ ext{ and so on}} + \left(\frac{1}{k-1} - \frac{1}{k}\right) = 1 - \frac{1}{k}. Therefore, a_k le a_{k-1} \left(1 - \frac{1}{k}\right). Since 1βˆ’1k<11 - \frac{1}{k} < 1 for k le 2, this implies ak<akβˆ’1a_k < a_{k-1} for k le 2. However, this is not the final step. This inequality a_k le a_{k-1} (1 - rac{1}{k}) does show that aka_k is strictly less than akβˆ’1a_{k-1} for k le 2, assuming akβˆ’1>0a_{k-1} > 0 (which we've proved). So, this means ak<akβˆ’1a_k < a_{k-1} for k le 2. This directly proves that the sequence is strictly decreasing for k le 2. The inductive step holds. Thus, by induction, the sequence {aka_k} is strictly decreasing.

Conclusion

So there you have it, guys! We've successfully proven that the sequence defined by a1=1a_1 = 1 and ak=βˆ‘i=1kβˆ’1ai(1kβˆ’iβˆ’1kβˆ’i+1)a_k = \sum\limits_{i=1}^{k-1}a_i\left(\frac{1}{k-i}-\frac{1}{k-i+1}\right) for kβ‰₯2k \ge 2 is indeed a decreasing sequence. We achieved this by first simplifying the recursive formula and then employing a powerful proof technique: mathematical induction. We showed that a2<a1a_2 < a_1, establishing the base case. Then, we used the inductive hypothesis (assuming the sequence is decreasing up to ama_m) to prove that am+1<ama_{m+1} < a_m. The key insight came from rewriting aka_k as ak=βˆ‘j=1kβˆ’1akβˆ’jj(j+1)a_k = \sum\limits_{j=1}^{k-1} \frac{a_{k-j}}{j(j+1)} and using the inductive hypothesis a_i le a_{k-1} for i le k-1 to establish a_k le a_{k-1} \sum\limits_{j=1}^{k-1} \frac{1}{j(j+1)}. The telescoping sum of 1j(j+1)\frac{1}{j(j+1)} simplified this to a_k le a_{k-1} (1 - rac{1}{k}), which proves the decreasing nature. This kind of rigorous proof is fundamental in discrete mathematics and helps us understand the behavior of sequences and functions. It's amazing how a seemingly complex formula can be analyzed and its properties unveiled with the right tools. Keep exploring, keep questioning, and I'll catch you in the next article!