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What is the maximum number of parts into which the coordinate plane (xOy) can be divided by the graphs of 100 quadratic polynomials of the form [ y = a_{n} x^{2} + b_{n} x + c_{n} quad (n=1, 2, ldots, 100) ? ]

💡Okay, so I have this problem here: I need to find the maximum number of parts into which the coordinate plane (xOy) can be divided by the graphs of 100 quadratic polynomials of the form ( y = a_n x^2 + b_n x + c_n ) where (n = 1, 2, ldots, 100). Hmm, quadratic polynomials, so they're parabolas, right? Each one is a parabola that can open upwards or downwards depending on the coefficient (a_n).First, I remember that when you have curves dividing a plane, each new curve can potentially intersect all the previous ones, and each intersection can create a new region. For example, with lines, each new line can intersect all the previous lines at one point each, and each intersection adds a new region. But parabolas are different because they can intersect each other at up to two points. So, I think this might affect the number of regions they can create.Let me try to recall if there's a formula for the maximum number of regions created by (n) curves of a certain type. For lines, it's ( frac{n(n+1)}{2} + 1 ). But for parabolas, it's different because each pair can intersect more times. So, maybe the formula is similar but with a different coefficient.Wait, I think for circles, the formula is (n^2 - n + 2), but that's for circles where each pair can intersect at two points. Maybe parabolas are similar? Or is it different because parabolas can intersect more times?Wait, no, actually, two parabolas can intersect at up to four points, right? Because solving two quadratic equations can give up to four solutions. But in the case of quadratic polynomials, which are functions, they can only intersect at two points because they are functions of (x). So, for two parabolas, each being a function (y = f(x)), they can intersect at most two points because setting (a_1 x^2 + b_1 x + c_1 = a_2 x^2 + b_2 x + c_2) gives a quadratic equation, which has at most two real solutions.So, each pair of parabolas can intersect at most two points. That's important because it affects how many new regions each new parabola can create.Now, I think the general formula for the maximum number of regions (R(n)) created by (n) curves where each pair intersects in (k) points is given by (R(n) = R(n-1) + k(n-1) + 1). Wait, is that right? Let me think.Actually, for each new curve, the maximum number of new regions it can create is equal to the number of intersections it has with all the previous curves plus one. So, if each new parabola intersects each of the previous (n-1) parabolas at two points, then the number of intersections is (2(n-1)). Each intersection can potentially create a new region, but I think it's actually the number of times the new curve crosses the existing arrangement, which is similar to how lines work.Wait, for lines, each new line intersects all previous lines at one point each, so it crosses (n-1) lines, creating (n) new regions. Similarly, for parabolas, each new parabola intersects each previous parabola at two points, so it crosses (2(n-1)) points, but how does that translate to regions?I think the formula for the maximum number of regions created by (n) parabolas is similar to the one for circles, which is (n^2 - n + 2). Wait, but for circles, each pair intersects at two points, and the formula is indeed (n^2 - n + 2). But for parabolas, since each pair intersects at two points, maybe the formula is the same?Wait, no, that doesn't seem right because for lines, the formula is ( frac{n(n+1)}{2} + 1 ), which is different. So, maybe for parabolas, it's a different formula.Let me try to derive it. Let's denote (R(n)) as the maximum number of regions created by (n) parabolas. For (n = 0), there's just one region, the whole plane. For (n = 1), the parabola divides the plane into two regions. For (n = 2), each parabola can intersect the other at two points, so the second parabola crosses the first one at two points, creating two additional regions. So, (R(2) = R(1) + 2 = 2 + 2 = 4).Wait, but actually, when you add the second parabola, it intersects the first one at two points, so it's divided into three segments, right? Each segment can potentially divide a region into two. So, the number of new regions created is equal to the number of times the new curve crosses the existing arrangement plus one. So, for the second parabola, it crosses the first one twice, so it's divided into three segments, which means it creates three new regions. So, (R(2) = R(1) + 3 = 2 + 3 = 5). Hmm, that seems more accurate.Wait, let me check. When you have one parabola, it's two regions. Adding a second parabola that intersects the first one at two points, the second parabola is split into three segments by the first parabola. Each segment can potentially divide an existing region into two. So, the number of new regions created is three. So, total regions become 2 + 3 = 5. That makes sense.Similarly, for the third parabola, it can intersect each of the previous two parabolas at two points each, so that's four intersection points. These four points divide the third parabola into five segments. Each segment can create a new region, so the number of new regions is five. Therefore, (R(3) = R(2) + 5 = 5 + 5 = 10).Wait, so the pattern seems to be that each new parabola adds (2(n-1) + 1) regions. Because for the (n)-th parabola, it intersects each of the previous (n-1) parabolas at two points, so that's (2(n-1)) intersection points, which divides the new parabola into (2(n-1) + 1) segments. Each segment adds a new region. So, the recurrence relation is (R(n) = R(n-1) + 2(n-1) + 1).Let me write that down:(R(n) = R(n-1) + 2(n-1) + 1)With (R(0) = 1), (R(1) = 2).Let me compute the first few terms to see the pattern:- (R(0) = 1)- (R(1) = R(0) + 2(0) + 1 = 1 + 0 + 1 = 2)- (R(2) = R(1) + 2(1) + 1 = 2 + 2 + 1 = 5)- (R(3) = R(2) + 2(2) + 1 = 5 + 4 + 1 = 10)- (R(4) = R(3) + 2(3) + 1 = 10 + 6 + 1 = 17)- (R(5) = R(4) + 2(4) + 1 = 17 + 8 + 1 = 26)Hmm, so the sequence is 1, 2, 5, 10, 17, 26,...Looking at these numbers, it seems like (R(n) = n^2 + 1). Let's check:- For (n=0), (0^2 + 1 = 1), correct.- For (n=1), (1^2 + 1 = 2), correct.- For (n=2), (2^2 + 1 = 5), correct.- For (n=3), (3^2 + 1 = 10), correct.- For (n=4), (4^2 + 1 = 17), correct.- For (n=5), (5^2 + 1 = 26), correct.Yes, it seems that (R(n) = n^2 + 1). So, the maximum number of regions created by (n) parabolas is (n^2 + 1).But wait, let me make sure. Let's try to derive it from the recurrence relation.We have the recurrence:(R(n) = R(n-1) + 2(n-1) + 1)Let's expand this:(R(n) = R(n-1) + 2n - 2 + 1 = R(n-1) + 2n - 1)Now, let's write this out for each (n):- (R(1) = R(0) + 2(1) - 1 = 1 + 2 - 1 = 2)- (R(2) = R(1) + 2(2) - 1 = 2 + 4 - 1 = 5)- (R(3) = R(2) + 2(3) - 1 = 5 + 6 - 1 = 10)- (R(4) = R(3) + 2(4) - 1 = 10 + 8 - 1 = 17)- (R(5) = R(4) + 2(5) - 1 = 17 + 10 - 1 = 26)So, same results. Now, let's try to find a closed-form solution for this recurrence.We can write the recurrence as:(R(n) - R(n-1) = 2n - 1)This is a linear recurrence relation. To solve it, we can sum both sides from (k = 1) to (k = n):(sum_{k=1}^{n} [R(k) - R(k-1)] = sum_{k=1}^{n} (2k - 1))The left side telescopes:(R(n) - R(0) = sum_{k=1}^{n} (2k - 1))We know (R(0) = 1), so:(R(n) - 1 = sum_{k=1}^{n} (2k - 1))Now, compute the sum on the right:(sum_{k=1}^{n} (2k - 1) = 2 sum_{k=1}^{n} k - sum_{k=1}^{n} 1 = 2 cdot frac{n(n+1)}{2} - n = n(n+1) - n = n^2 + n - n = n^2)Therefore:(R(n) - 1 = n^2)So,(R(n) = n^2 + 1)Yes, that confirms the formula. So, the maximum number of regions created by (n) parabolas is (n^2 + 1).Therefore, for (n = 100), the maximum number of regions is (100^2 + 1 = 10000 + 1 = 10001).But wait, let me think again. Is this correct? Because I remember that for circles, the formula is (n^2 - n + 2), which is different. So, why is it different for parabolas?Ah, because for circles, each new circle can intersect each existing circle at two points, but the way regions are added is slightly different. For parabolas, since they are functions, they can only intersect each other at two points, but they extend to infinity, which might affect the number of regions differently.Wait, but in our derivation, we considered that each new parabola intersects all previous ones at two points, and each intersection adds a segment, which in turn adds a region. So, the formula (n^2 + 1) seems to hold for parabolas.Let me check with a small (n). For (n=1), we have two regions, which is correct. For (n=2), five regions. Let me visualize two parabolas intersecting at two points. Yes, they divide the plane into five regions. For (n=3), ten regions. That seems correct as well.So, I think the formula is correct. Therefore, for 100 parabolas, the maximum number of regions is (100^2 + 1 = 10001).But just to be thorough, let me consider if there's any overlap or if some configurations might not achieve the maximum. For the maximum number of regions, we need that each new parabola intersects all previous ones at the maximum number of points, which is two for parabolas. So, as long as we can arrange the parabolas such that each new one intersects all previous ones at two distinct points, the formula holds.Is that possible? For example, can we have 100 parabolas where each pair intersects at two distinct points? I think so, by choosing appropriate coefficients (a_n, b_n, c_n) such that no two parabolas are identical and no three parabolas intersect at the same point.Therefore, the maximum number of regions is indeed (100^2 + 1 = 10001).

Given the universal set U={1,2,3,4,5}, set M={1,2}, N={3,4}, then complement _{U}(Mcup N)=left( right)A: {5}B: {1,2}C: {3,4}D: {1,2,3,4}

💡First, I need to understand the problem. We have a universal set ( U = {1, 2, 3, 4, 5} ) and two subsets ( M = {1, 2} ) and ( N = {3, 4} ). The question asks for the complement of the union of sets ( M ) and ( N ) with respect to ( U ).To find the complement, I should first determine the union of ( M ) and ( N ). The union of two sets includes all elements that are in either set. So, combining ( M ) and ( N ), I get:[ M cup N = {1, 2} cup {3, 4} = {1, 2, 3, 4} ]Now, the complement of this union with respect to ( U ) consists of all elements in ( U ) that are not in ( M cup N ). Subtracting ( {1, 2, 3, 4} ) from ( U ), which is ( {1, 2, 3, 4, 5} ), leaves:[ complement_U(M cup N) = U - (M cup N) = {1, 2, 3, 4, 5} - {1, 2, 3, 4} = {5} ]Therefore, the complement of the union of ( M ) and ( N ) with respect to ( U ) is ( {5} ).

Among the following intervals, the interval in which the function f(x)=7sin (x-frac{π}{6}) is monotonically increasing is ( ).A: (0,frac{π}{2})B: (frac{π}{2},pi )C: (pi ,frac{3π}{2})D: (frac{3π}{2},2pi )

💡Okay, so I have this problem here: I need to figure out on which interval the function f(x) = 7 sin(x - π/6) is monotonically increasing. The options are A: (0, π/2), B: (π/2, π), C: (π, 3π/2), and D: (3π/2, 2π). Hmm, okay. Let's break this down step by step.First, I remember that for a function to be monotonically increasing, its derivative should be positive throughout that interval. So, I think I should start by finding the derivative of f(x). The function is f(x) = 7 sin(x - π/6). The derivative of sin(u) with respect to x is cos(u) times the derivative of u with respect to x. So, applying that here, the derivative f'(x) should be 7 cos(x - π/6) times the derivative of (x - π/6) with respect to x. The derivative of (x - π/6) is just 1, right? So, f'(x) = 7 cos(x - π/6).Okay, so f'(x) = 7 cos(x - π/6). Since 7 is a positive constant, the sign of f'(x) depends on cos(x - π/6). So, f'(x) is positive when cos(x - π/6) is positive, and negative when cos(x - π/6) is negative.Now, I need to find the intervals where cos(x - π/6) is positive. I remember that cosine is positive in the first and fourth quadrants, which corresponds to angles between -π/2 to π/2, 3π/2 to 5π/2, and so on. But since cosine has a period of 2π, I can generalize this.So, cos(θ) > 0 when θ is in (-π/2 + 2πk, π/2 + 2πk) for any integer k. Applying this to our case where θ = x - π/6, we have:-π/2 + 2πk < x - π/6 < π/2 + 2πkLet me solve for x here. Adding π/6 to all parts:-π/2 + π/6 + 2πk < x < π/2 + π/6 + 2πkSimplify -π/2 + π/6: -π/2 is -3π/6, so -3π/6 + π/6 = -2π/6 = -π/3.Similarly, π/2 + π/6 is 3π/6 + π/6 = 4π/6 = 2π/3.So, the inequality becomes:-π/3 + 2πk < x < 2π/3 + 2πkNow, since we're dealing with intervals within one period, let's consider k = 0 first:-π/3 < x < 2π/3But the options given are all within (0, 2π), so let's see how this interval fits into that.-π/3 is approximately -1.047, which is less than 0, and 2π/3 is approximately 2.094, which is less than π (≈3.1416). So, the interval (-π/3, 2π/3) overlaps with (0, 2π/3). Therefore, within (0, 2π/3), the function f(x) is increasing.Looking at the options, A is (0, π/2), which is entirely within (0, 2π/3) since π/2 is approximately 1.5708, which is less than 2π/3 (≈2.094). So, on (0, π/2), f'(x) is positive, meaning f(x) is increasing.But wait, let me check the other intervals just to be thorough. Maybe there's another interval where the function is increasing.For k = 1:-π/3 + 2π < x < 2π/3 + 2πWhich is approximately 5.23598 < x < 7.33038. But our options only go up to 2π, which is about 6.28319. So, the next interval where the function is increasing would start at around 5.23598, which is 5π/3, and go to 7.33038, which is beyond 2π. So, within (0, 2π), the only interval where f(x) is increasing is (0, 2π/3), and since (0, π/2) is within that, it's the correct answer.But just to make sure, let's think about the behavior of the sine function. The standard sine function, sin(x), increases from -π/2 to π/2, which is similar to what we did earlier. But here, we have a phase shift of π/6. So, the function sin(x - π/6) is shifted to the right by π/6. So, its increasing interval would also shift accordingly.Originally, sin(x) increases from -π/2 to π/2. Shifting right by π/6, the increasing interval becomes (-π/2 + π/6, π/2 + π/6) = (-π/3, 2π/3), which matches what we found earlier.So, within the interval (0, 2π/3), the function is increasing. Since (0, π/2) is entirely within this interval, the function is increasing on (0, π/2).Let me check the other options just to be sure.Option B: (π/2, π). Let's see, π/2 is about 1.5708 and π is about 3.1416. Our increasing interval ends at 2π/3, which is about 2.094. So, from π/2 to 2π/3, the function is still increasing, but from 2π/3 to π, it starts decreasing. So, the entire interval (π/2, π) is not entirely increasing. It increases up to 2π/3 and then decreases. So, B is not entirely increasing.Option C: (π, 3π/2). That's from about 3.1416 to 4.7124. Let's see where that falls in terms of the derivative. The derivative is positive when x is in (-π/3 + 2πk, 2π/3 + 2πk). For k=1, that would be (5π/3, 8π/3). 5π/3 is about 5.23598, which is greater than 3π/2 (≈4.7124). So, in the interval (π, 3π/2), the derivative is negative because we're in the decreasing part of the sine wave. So, C is decreasing.Option D: (3π/2, 2π). 3π/2 is about 4.7124 and 2π is about 6.28319. Again, for k=1, the increasing interval is (5π/3, 8π/3), which is approximately (5.23598, 8.37758). So, from 5π/3 (≈5.23598) to 2π (≈6.28319), the function is increasing. But the interval D is from 3π/2 (≈4.7124) to 2π (≈6.28319). So, part of D is increasing (from 5π/3 to 2π) and part is decreasing (from 3π/2 to 5π/3). Therefore, D is not entirely increasing.So, the only interval where the function is entirely increasing is A: (0, π/2).Wait, but earlier I thought the increasing interval was up to 2π/3, which is about 2.094. So, from 0 to 2π/3, it's increasing. But π/2 is about 1.5708, which is less than 2π/3. So, (0, π/2) is entirely within the increasing interval. So, A is correct.But just to make sure, let's plug in some values. Let's take x = 0: f'(0) = 7 cos(-π/6) = 7*(√3/2) ≈ 6.062, which is positive. At x = π/2: f'(π/2) = 7 cos(π/2 - π/6) = 7 cos(π/3) = 7*(1/2) = 3.5, still positive. So, from 0 to π/2, the derivative is positive, so the function is increasing.At x = 2π/3: f'(2π/3) = 7 cos(2π/3 - π/6) = 7 cos(π/2) = 0. So, at 2π/3, the derivative is zero, which is the peak. Beyond that, the derivative becomes negative.So, yeah, A is correct.

What is the remainder when x^4 - 3x^3 + 2x^2 + 11x - 6 is divided by x-2?

💡Okay, so I need to find the remainder when the polynomial ( x^4 - 3x^3 + 2x^2 + 11x - 6 ) is divided by ( x - 2 ). Hmm, I remember something about the Remainder Theorem from my algebra class. Let me try to recall how that works.The Remainder Theorem states that if you divide a polynomial ( f(x) ) by ( x - c ), the remainder is just ( f(c) ). So in this case, since we're dividing by ( x - 2 ), that means ( c = 2 ). Therefore, the remainder should be ( f(2) ).Alright, so I need to substitute ( x = 2 ) into the polynomial and calculate the result. Let me write that out step by step to make sure I don't make any mistakes.First, let's write down the polynomial:( f(x) = x^4 - 3x^3 + 2x^2 + 11x - 6 )Now, substituting ( x = 2 ):( f(2) = (2)^4 - 3(2)^3 + 2(2)^2 + 11(2) - 6 )Let me compute each term individually:1. ( (2)^4 = 16 )2. ( 3(2)^3 = 3 times 8 = 24 )3. ( 2(2)^2 = 2 times 4 = 8 )4. ( 11(2) = 22 )5. The constant term is ( -6 )Now, putting it all together:( f(2) = 16 - 24 + 8 + 22 - 6 )Let me compute this step by step:First, ( 16 - 24 = -8 )Then, ( -8 + 8 = 0 )Next, ( 0 + 22 = 22 )Finally, ( 22 - 6 = 16 )So, the remainder is 16.Wait, let me double-check my calculations to make sure I didn't make any arithmetic errors.Starting again:( f(2) = 16 - 24 + 8 + 22 - 6 )Compute in order:16 - 24 = -8-8 + 8 = 00 + 22 = 2222 - 6 = 16Yes, that seems correct. So, the remainder is indeed 16.Alternatively, I could have grouped the terms differently to make the calculation easier, but I think the step-by-step approach I took is clear and reduces the chance of mistakes.Just to be thorough, I can also perform polynomial long division to verify the result. Let's try that.Dividing ( x^4 - 3x^3 + 2x^2 + 11x - 6 ) by ( x - 2 ).First, divide ( x^4 ) by ( x ) to get ( x^3 ). Multiply ( x - 2 ) by ( x^3 ) to get ( x^4 - 2x^3 ).Subtract this from the original polynomial:( (x^4 - 3x^3 + 2x^2 + 11x - 6) - (x^4 - 2x^3) = (-3x^3 + 2x^2 + 11x - 6) - (-2x^3) = (-x^3 + 2x^2 + 11x - 6) )Next, divide ( -x^3 ) by ( x ) to get ( -x^2 ). Multiply ( x - 2 ) by ( -x^2 ) to get ( -x^3 + 2x^2 ).Subtract this from the current polynomial:( (-x^3 + 2x^2 + 11x - 6) - (-x^3 + 2x^2) = (0x^3 + 0x^2 + 11x - 6) )Now, divide ( 0x^2 ) by ( x ), which is 0. So, we bring down the next term, which is ( 11x ).Divide ( 11x ) by ( x ) to get 11. Multiply ( x - 2 ) by 11 to get ( 11x - 22 ).Subtract this from the current polynomial:( (11x - 6) - (11x - 22) = (0x + 16) )So, the remainder is 16, which matches what I found using the Remainder Theorem.Therefore, I'm confident that the remainder when ( x^4 - 3x^3 + 2x^2 + 11x - 6 ) is divided by ( x - 2 ) is indeed 16.

Rupert and Ronald aced their math test. So their mother bought for them a wonderful trampoline yesterday. Ronald jumped 157 times on the trampoline. Rupert jumped 86 more times than Ronald. How many times did they jump altogether on the trampoline?

💡First, I need to determine how many times Rupert jumped on the trampoline. Since Rupert jumped 86 more times than Ronald, and Ronald jumped 157 times, I can calculate Rupert's jumps by adding 86 to 157.Next, I will add the number of times Ronald jumped to the number of times Rupert jumped to find the total number of jumps altogether.Finally, I will present the total number of jumps in a clear and concise manner.

Does there exist a sequence of positive integers a_1,a_2,... such that every positive integer occurs exactly once and that the number tau (na_{n+1}^n+(n+1)a_n^{n+1}) is divisible by n for all positive integer.Here tau (n) denotes the number of positive divisor of n .

💡Okay, so I have this problem about sequences of positive integers where every positive integer appears exactly once. The condition is that for each positive integer ( n ), the number of positive divisors of ( na_{n+1}^n + (n+1)a_n^{n+1} ) is divisible by ( n ). That sounds pretty complex, but let me try to break it down.First, I need to understand what ( tau(n) ) means. It's the number of positive divisors of ( n ). So, for example, ( tau(6) = 4 ) because 6 has divisors 1, 2, 3, 6. Got it.Now, the sequence ( a_1, a_2, a_3, ldots ) must be a permutation of all positive integers. That means every number from 1 upwards must appear exactly once in the sequence. So, no repeats, and no numbers missing.The main condition is about ( tau(na_{n+1}^n + (n+1)a_n^{n+1}) ) being divisible by ( n ) for all positive integers ( n ). Hmm, okay. So for each ( n ), when I compute ( na_{n+1}^n + (n+1)a_n^{n+1} ), the number of divisors of that result must be a multiple of ( n ).Let me think about how to approach this. Maybe I can try small values of ( n ) and see if I can find a pattern or some constraints on the sequence ( a_n ).Starting with ( n = 1 ):- The expression becomes ( 1 cdot a_2^1 + 2 cdot a_1^2 ).- So, ( a_2 + 2a_1^2 ).- The number of divisors of this should be divisible by 1, which is always true because any number has at least 1 divisor. So, no problem here.Moving on to ( n = 2 ):- The expression is ( 2a_3^2 + 3a_2^3 ).- The number of divisors of this must be divisible by 2. So, ( tau(2a_3^2 + 3a_2^3) ) must be even.Wait, when is ( tau(k) ) even? It's even unless ( k ) is a perfect square because divisors come in pairs unless the number is a square. So, ( 2a_3^2 + 3a_2^3 ) must not be a perfect square. Or, actually, it can be a square, but ( tau(k) ) would then be odd, which is not divisible by 2. So, we need ( 2a_3^2 + 3a_2^3 ) to not be a perfect square.But since ( a_1, a_2, a_3 ) are distinct positive integers, let's try assigning some small numbers.Suppose ( a_1 = 1 ). Then, for ( n = 1 ), we have ( a_2 + 2(1)^2 = a_2 + 2 ). Since ( tau(a_2 + 2) ) must be divisible by 1, which is always true. So, no issue.Now, for ( n = 2 ), we have ( 2a_3^2 + 3a_2^3 ). Let's say ( a_2 = 2 ), then ( a_3 ) must be 3 because we need every positive integer exactly once. So, ( 2(3)^2 + 3(2)^3 = 2*9 + 3*8 = 18 + 24 = 42 ). Then, ( tau(42) ). 42 factors into 2*3*7, so the number of divisors is (1+1)(1+1)(1+1) = 8. 8 is divisible by 2, so that works.Okay, so far so good. Let's check ( n = 3 ):- The expression is ( 3a_4^3 + 4a_3^4 ).- ( a_3 = 3 ), so ( 4a_3^4 = 4*81 = 324 ).- ( a_4 ) must be 4, since we're using each integer once.- So, ( 3*(4)^3 + 324 = 3*64 + 324 = 192 + 324 = 516 ).- ( tau(516) ). Let's factorize 516: 516 ÷ 2 = 258, ÷2 again = 129, which is 3*43. So, prime factors are 2^2 * 3 * 43. Thus, number of divisors is (2+1)(1+1)(1+1) = 3*2*2 = 12. 12 is divisible by 3, so that's good.Hmm, so far, with ( a_1=1, a_2=2, a_3=3, a_4=4 ), it works for ( n=1,2,3 ). Let's check ( n=4 ):- Expression: ( 4a_5^4 + 5a_4^5 ).- ( a_4=4 ), so ( 5a_4^5 = 5*1024 = 5120 ).- ( a_5=5 ), so ( 4*(5)^4 = 4*625 = 2500 ).- Total: 2500 + 5120 = 7620.- ( tau(7620) ). Let's factorize 7620: 7620 ÷ 2 = 3810, ÷2 = 1905. 1905 ÷ 5 = 381, which is 3*127. So, prime factors: 2^2 * 5 * 3 * 127. Number of divisors: (2+1)(1+1)(1+1)(1+1) = 3*2*2*2 = 24. 24 is divisible by 4, so that works.Okay, so with ( a_1=1, a_2=2, a_3=3, a_4=4, a_5=5 ), it works up to ( n=4 ). Let's try ( n=5 ):- Expression: ( 5a_6^5 + 6a_5^6 ).- ( a_5=5 ), so ( 6a_5^6 = 6*15625 = 93750 ).- ( a_6=6 ), so ( 5*(6)^5 = 5*7776 = 38880 ).- Total: 38880 + 93750 = 132630.- ( tau(132630) ). Let's factorize 132630: 132630 ÷ 2 = 66315, ÷5 = 13263. 13263 ÷ 3 = 4421, which is prime? Let me check: 4421 ÷ 7 ≈ 631.57, not integer. ÷11 ≈ 401.9, not integer. Maybe 4421 is prime. So, prime factors: 2 * 5 * 3 * 4421. Number of divisors: (1+1)(1+1)(1+1)(1+1) = 16. 16 is divisible by 5? Wait, 16 ÷ 5 is 3.2, which is not an integer. So, 16 is not divisible by 5. That's a problem.Wait, so ( tau(132630) = 16 ), which is not divisible by 5. That violates the condition for ( n=5 ). So, our initial assumption of ( a_1=1, a_2=2, a_3=3, a_4=4, a_5=5, a_6=6 ) doesn't work for ( n=5 ).Hmm, so maybe the sequence can't just be the natural numbers in order. We need to rearrange the sequence so that for each ( n ), ( tau(na_{n+1}^n + (n+1)a_n^{n+1}) ) is divisible by ( n ).But how? It seems complicated because each term depends on the next term in the sequence, and we have to ensure that every number is used exactly once.Maybe we need to construct the sequence inductively, ensuring at each step that the condition is satisfied. Let's try that.Start with ( a_1=1 ). Then, for ( n=1 ), ( a_2 ) must satisfy that ( tau(a_2 + 2) ) is divisible by 1, which is always true. So, ( a_2 ) can be any number not used yet, say 2.Then, for ( n=2 ), we have ( 2a_3^2 + 3a_2^3 ). With ( a_2=2 ), this becomes ( 2a_3^2 + 24 ). We need ( tau(2a_3^2 + 24) ) divisible by 2, meaning it should be even. So, ( 2a_3^2 + 24 ) should not be a perfect square. Let's try ( a_3=3 ): ( 2*9 + 24 = 18 + 24 = 42 ). ( tau(42)=8 ), which is even. Good.Next, ( n=3 ): ( 3a_4^3 + 4a_3^4 ). With ( a_3=3 ), this is ( 3a_4^3 + 324 ). We need ( tau(3a_4^3 + 324) ) divisible by 3. Let's try ( a_4=4 ): ( 3*64 + 324 = 192 + 324 = 516 ). ( tau(516)=12 ), which is divisible by 3. Good.Now, ( n=4 ): ( 4a_5^4 + 5a_4^5 ). With ( a_4=4 ), this is ( 4a_5^4 + 5120 ). We need ( tau(4a_5^4 + 5120) ) divisible by 4. Let's try ( a_5=5 ): ( 4*625 + 5120 = 2500 + 5120 = 7620 ). ( tau(7620)=24 ), which is divisible by 4. Good.Now, ( n=5 ): ( 5a_6^5 + 6a_5^6 ). With ( a_5=5 ), this is ( 5a_6^5 + 93750 ). We need ( tau(5a_6^5 + 93750) ) divisible by 5. Let's try ( a_6=6 ): ( 5*7776 + 93750 = 38880 + 93750 = 132630 ). As before, ( tau(132630)=16 ), which is not divisible by 5. So, ( a_6=6 ) doesn't work.What if we choose a different ( a_6 )? Maybe ( a_6=7 ): ( 5*16807 + 93750 = 84035 + 93750 = 177785 ). Let's factorize 177785: 177785 ÷ 5 = 35557. 35557 is prime? Let me check: 35557 ÷ 7 ≈ 5080, not integer. ÷11 ≈ 3232, not integer. Maybe it's prime. So, prime factors: 5 * 35557. Number of divisors: (1+1)(1+1)=4. 4 is not divisible by 5. Still bad.What about ( a_6=8 ): ( 5*32768 + 93750 = 163840 + 93750 = 257590 ). Factorize 257590: 257590 ÷ 2 = 128795, ÷5 = 25759. 25759 ÷ 7 ≈ 3679.85, not integer. ÷11 ≈ 2341.72, not integer. Maybe prime. So, prime factors: 2 * 5 * 25759. Number of divisors: (1+1)(1+1)(1+1)=8. 8 is not divisible by 5. Still no good.Hmm, maybe ( a_6=9 ): ( 5*59049 + 93750 = 295245 + 93750 = 389, let me compute 295245 + 93750: 295245 + 93750 = 389, let me check: 295,245 + 93,750 = 389, let me compute 295,245 + 93,750: 295,245 + 93,750 = 389, let me compute 295,245 + 93,750 = 389, wait, 295,245 + 93,750 = 389, let me compute 295,245 + 93,750: 295,245 + 93,750 = 389, no, 295,245 + 93,750 = 389, wait, 295,245 + 93,750 = 389, no, 295,245 + 93,750 = 389, I think I'm making a mistake here. Let me compute 295,245 + 93,750:295,245 + 93,750:- 295,245 + 90,000 = 385,245- 385,245 + 3,750 = 389, let me see: 385,245 + 3,750 = 389, no, 385,245 + 3,750 = 389, wait, 385,245 + 3,750 = 389, I think I'm messing up the addition. Let me do it step by step:295,245 + 93,750:- Add the thousands: 295,000 + 93,000 = 388,000- Add the remaining: 245 + 750 = 995- Total: 388,000 + 995 = 388,995So, 388,995. Now, factorize 388,995: ÷5 = 77,799. 77,799 ÷ 3 = 25,933. 25,933 ÷ 7 ≈ 3704.71, not integer. ÷11 ≈ 2357.54, not integer. Maybe prime. So, prime factors: 5 * 3 * 25,933. Number of divisors: (1+1)(1+1)(1+1)=8. 8 is not divisible by 5. Still no good.This is getting frustrating. Maybe ( a_6=10 ): ( 5*100,000 + 93,750 = 500,000 + 93,750 = 593,750 ). Factorize 593,750: ÷2 = 296,875, ÷5 = 59,375, ÷5 = 11,875, ÷5 = 2,375, ÷5 = 475, ÷5 = 95, ÷5 = 19. So, prime factors: 2 * 5^6 * 19. Number of divisors: (1+1)(6+1)(1+1)=2*7*2=28. 28 is divisible by 5? No, 28 ÷ 5 = 5.6. Not integer. Still bad.Hmm, maybe I need a different approach. Instead of trying to assign ( a_n = n ), perhaps I need to permute the numbers so that for each ( n ), the expression ( na_{n+1}^n + (n+1)a_n^{n+1} ) results in a number with a number of divisors divisible by ( n ).But how? It seems like a lot of trial and error, and it's not clear how to ensure that every number is used exactly once while satisfying the divisibility condition for all ( n ).Maybe there's a pattern or a way to construct such a sequence. For example, choosing ( a_{n+1} ) such that ( na_{n+1}^n + (n+1)a_n^{n+1} ) is a perfect power or has a specific number of divisors.Wait, but the number of divisors depends on the prime factorization of the number. So, if I can control the exponents in the prime factorization, I can control the number of divisors.For example, if ( na_{n+1}^n + (n+1)a_n^{n+1} ) is a perfect square, then ( tau ) would be odd, which is not divisible by ( n ) unless ( n ) is odd. But we need it to be divisible by ( n ) regardless of whether ( n ) is odd or even.Alternatively, if ( na_{n+1}^n + (n+1)a_n^{n+1} ) is a product of distinct primes, then ( tau ) would be ( 2^k ), which is only divisible by powers of 2. But ( n ) can be any integer, so that might not work.Wait, maybe if ( na_{n+1}^n + (n+1)a_n^{n+1} ) is a prime number, then ( tau ) would be 2, which is only divisible by 1 and 2. So, for ( n geq 3 ), this wouldn't work.Alternatively, if ( na_{n+1}^n + (n+1)a_n^{n+1} ) is a power of a prime, say ( p^k ), then ( tau = k+1 ). So, we need ( k+1 ) divisible by ( n ). That could be possible if we choose ( k = mn - 1 ) for some integer ( m ).But ensuring that ( na_{n+1}^n + (n+1)a_n^{n+1} ) is a prime power for all ( n ) seems difficult, especially since we need every positive integer to appear exactly once in the sequence.Maybe another approach: since the sequence must be a permutation of positive integers, perhaps we can pair each ( n ) with some ( a_n ) such that the expression ( na_{n+1}^n + (n+1)a_n^{n+1} ) has a number of divisors divisible by ( n ).But it's not clear how to systematically choose ( a_n ) to satisfy this for all ( n ).Wait, maybe we can use the fact that for any ( n ), we can choose ( a_{n+1} ) such that ( na_{n+1}^n ) is very large, making ( na_{n+1}^n + (n+1)a_n^{n+1} ) have a specific form. For example, if ( a_{n+1} ) is chosen such that ( na_{n+1}^n ) is congruent to something modulo a prime, ensuring that the number of divisors is controlled.But this is getting too vague. Maybe I need to look for a specific construction or use some number theory results.Alternatively, perhaps such a sequence does not exist. Maybe it's impossible to arrange the positive integers in such a way that the condition is satisfied for all ( n ).But the problem is asking if such a sequence exists, not necessarily to construct it. So, maybe the answer is yes, and we can argue by some combinatorial or number-theoretic reasoning.Wait, let me think about the density of numbers with a certain number of divisors. For example, numbers with ( tau(k) ) divisible by ( n ) are not too rare, especially as ( k ) grows. So, perhaps for each ( n ), we can choose ( a_{n+1} ) such that ( na_{n+1}^n + (n+1)a_n^{n+1} ) is such a number.But we also have to ensure that every positive integer is used exactly once, which complicates things because choosing ( a_{n+1} ) affects future choices.Maybe using induction: assume that up to some ( n ), the sequence is constructed, and then choose ( a_{n+1} ) appropriately. But I need to ensure that the choice doesn't block future choices.Alternatively, perhaps using the Chinese Remainder Theorem or some form of it to ensure that the necessary conditions are met.Wait, another idea: if we can make ( na_{n+1}^n + (n+1)a_n^{n+1} ) a multiple of a high power of a prime, then the number of divisors can be controlled.For example, if ( na_{n+1}^n + (n+1)a_n^{n+1} = p^{k} ), then ( tau = k+1 ). So, if we set ( k = mn - 1 ), then ( tau = mn ), which is divisible by ( n ).But how to ensure that ( na_{n+1}^n + (n+1)a_n^{n+1} ) is a prime power. It seems difficult, but maybe possible by choosing ( a_{n+1} ) such that ( na_{n+1}^n equiv - (n+1)a_n^{n+1} mod p^{k} ) for some prime ( p ).But I'm not sure how to make this work for all ( n ).Alternatively, maybe using the fact that for any ( n ), there are infinitely many primes, so we can choose ( a_{n+1} ) such that ( na_{n+1}^n + (n+1)a_n^{n+1} ) is divisible by a prime raised to a power that gives the desired number of divisors.But this is still too vague.Wait, maybe the answer is yes, such a sequence exists, and it can be constructed using some recursive method, ensuring at each step that the condition is satisfied without blocking future choices.Alternatively, perhaps the answer is no, because the conditions are too restrictive, especially as ( n ) increases, making it impossible to satisfy for all ( n ).But I don't have a concrete argument either way. Maybe I need to look for some patterns or properties.Wait, another thought: the expression ( na_{n+1}^n + (n+1)a_n^{n+1} ) is similar to the form ( kx^n + ly^{n+1} ). Maybe if we can choose ( a_{n+1} ) such that this expression is a perfect power, or has a specific prime factorization.But again, not sure.Alternatively, maybe choosing ( a_{n+1} ) such that ( na_{n+1}^n ) is much larger than ( (n+1)a_n^{n+1} ), so that the expression is approximately ( na_{n+1}^n ), and then controlling the number of divisors by choosing ( a_{n+1} ) appropriately.But I'm not sure how to formalize this.Wait, maybe using the fact that for any ( n ), we can choose ( a_{n+1} ) such that ( na_{n+1}^n ) is congruent to something modulo a prime, ensuring that the number of divisors is divisible by ( n ).But I'm not sure.Alternatively, perhaps using the fact that the number of divisors function is multiplicative, so if we can factorize the expression into coprime parts, we can control the number of divisors.But this seems complicated.Wait, maybe the answer is yes, and such a sequence can be constructed by some careful inductive process, ensuring that at each step, the necessary conditions are met without violating the permutation requirement.But I don't have a specific construction in mind.Alternatively, maybe the answer is no, because the conditions are too strict, especially as ( n ) grows, making it impossible to satisfy for all ( n ).But I don't have a proof either way.Wait, maybe looking at the problem from another angle: since the sequence must be a permutation, for each ( n ), ( a_n ) must be unique and cover all positive integers. So, for each ( n ), we have to choose ( a_n ) such that it hasn't been used before and satisfies the condition with ( a_{n-1} ) and ( a_{n+1} ).But this seems too interdependent, making it difficult to ensure all conditions are met.Alternatively, maybe the problem is related to the Erdős conjecture on arithmetic progressions or something similar, but I'm not sure.Wait, another idea: if we can make ( na_{n+1}^n + (n+1)a_n^{n+1} ) a factorial or something with a known number of divisors, but factorials have a lot of divisors, but not sure if it's divisible by ( n ).Alternatively, maybe using the fact that for any ( n ), there exists a number with exactly ( n ) divisors, so perhaps we can construct the sequence such that ( tau(na_{n+1}^n + (n+1)a_n^{n+1}) = n ).But that would require ( na_{n+1}^n + (n+1)a_n^{n+1} ) to be a number with exactly ( n ) divisors, which is possible, but again, ensuring this for all ( n ) while permuting the integers seems difficult.Wait, maybe using the fact that for any ( n ), there are infinitely many numbers with ( tau(k) ) divisible by ( n ), so perhaps we can choose ( a_{n+1} ) such that ( na_{n+1}^n + (n+1)a_n^{n+1} ) is one of those numbers.But we also have to ensure that every integer is used exactly once, which complicates things.Alternatively, maybe the answer is yes, and such a sequence exists, but it's non-trivial to construct.Wait, I think I've read somewhere that such sequences can be constructed using some form of greedy algorithm or induction, ensuring that at each step, the necessary conditions are met without blocking future choices.But I'm not sure about the details.Alternatively, maybe the answer is no, because the conditions are too restrictive, especially as ( n ) increases, making it impossible to satisfy for all ( n ).But without a concrete argument, it's hard to say.Wait, maybe considering that for each ( n ), the expression ( na_{n+1}^n + (n+1)a_n^{n+1} ) must have a number of divisors divisible by ( n ). Since the number of divisors can be controlled by the exponents in the prime factorization, perhaps we can choose ( a_{n+1} ) such that the expression is a prime power with exponent ( kn - 1 ), making ( tau = kn ), which is divisible by ( n ).But ensuring this for all ( n ) seems difficult.Alternatively, maybe using the fact that for any ( n ), we can choose ( a_{n+1} ) such that ( na_{n+1}^n ) is congruent to something modulo a prime, ensuring that the expression has the desired number of divisors.But I'm not sure.Wait, another thought: if we can make ( na_{n+1}^n + (n+1)a_n^{n+1} ) a multiple of ( n ), then ( tau ) would be at least 2, but we need it to be divisible by ( n ). So, maybe making it a multiple of ( n ) with a specific number of divisors.But I'm not sure.Alternatively, maybe choosing ( a_{n+1} ) such that ( na_{n+1}^n ) is a multiple of ( (n+1)a_n^{n+1} ), but that might not help.Wait, perhaps considering that ( na_{n+1}^n + (n+1)a_n^{n+1} ) can be written as ( a_n^{n+1} ) times something, but not sure.Alternatively, maybe using the fact that ( a_n ) and ( a_{n+1} ) are distinct and cover all integers, so maybe for each ( n ), we can choose ( a_{n+1} ) such that ( na_{n+1}^n ) is congruent to something modulo ( (n+1)a_n^{n+1} ), ensuring that the sum has the desired number of divisors.But this is getting too abstract.Wait, maybe the answer is yes, and such a sequence exists, but it's non-trivial to construct. The key idea is to use induction and the fact that for each ( n ), there are infinitely many numbers with ( tau(k) ) divisible by ( n ), so we can choose ( a_{n+1} ) appropriately without blocking future choices.Alternatively, maybe the answer is no, because the conditions are too strict, especially as ( n ) increases, making it impossible to satisfy for all ( n ).But without a concrete argument, it's hard to say.Wait, another approach: consider that for each ( n ), the expression ( na_{n+1}^n + (n+1)a_n^{n+1} ) must have ( tau ) divisible by ( n ). So, for each ( n ), we need ( tau ) to be a multiple of ( n ). Since ( tau ) is multiplicative, maybe we can factorize the expression into coprime parts and control the number of divisors.But I'm not sure how to apply this.Alternatively, maybe using the fact that for any ( n ), we can choose ( a_{n+1} ) such that ( na_{n+1}^n ) is a multiple of ( (n+1)a_n^{n+1} ), but that might not help.Wait, perhaps considering that ( a_n ) must be unique and cover all positive integers, maybe we can pair each ( n ) with some ( a_n ) such that the expression ( na_{n+1}^n + (n+1)a_n^{n+1} ) is a multiple of ( n ) with a specific number of divisors.But I'm not sure.Wait, maybe the answer is yes, and such a sequence exists, but it's non-trivial to construct. The key idea is to use induction and the fact that for each ( n ), there are infinitely many numbers with ( tau(k) ) divisible by ( n ), so we can choose ( a_{n+1} ) appropriately without blocking future choices.Alternatively, maybe the answer is no, because the conditions are too strict, especially as ( n ) increases, making it impossible to satisfy for all ( n ).But I think the answer is yes, such a sequence exists, and it can be constructed using some form of induction and number-theoretic arguments, ensuring that at each step, the necessary conditions are met without violating the permutation requirement.So, after all this thinking, I believe the answer is yes, such a sequence exists.

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