Finding The Least X For Floor(x^2) - Floor(x)^2 = 10

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Hey guys! A friend of mine threw a math problem my way, and it's got me itching to solve it analytically. The problem is this: we need to find the smallest value of x that satisfies the equation ⌊x2βŒ‹βˆ’βŒŠxβŒ‹2=10{\lfloor x^2\rfloor - \lfloor x\rfloor ^2=10}. Basically, we're dealing with floor functions here, which can sometimes feel like navigating a maze! I initially graphed it out, but I'm really curious if there's a way to crack this open using pure algebra and precalculus techniques. So, let's dive in and explore how we can tackle this problem step by step. Let's begin this exploration by laying down the foundations of our problem and understanding the key elements at play.

Understanding the Floor Function and the Problem

So, let's break it down, shall we? The floor function, denoted by ⌊xβŒ‹{\lfloor x \rfloor}, might seem a bit intimidating at first, but it's actually quite friendly. All it does is round a real number x down to the nearest integer. Think of it as chopping off any decimal parts. For instance, ⌊3.14βŒ‹=3{\lfloor 3.14 \rfloor = 3}, ⌊5.999βŒ‹=5{\lfloor 5.999 \rfloor = 5}, and even ⌊7βŒ‹=7{\lfloor 7 \rfloor = 7} because 7 is already an integer. Knowing this fundamental definition is crucial for tackling our problem. Now, let's circle back to the equation we're trying to solve: ⌊x2βŒ‹βˆ’βŒŠxβŒ‹2=10{\lfloor x^2\rfloor - \lfloor x\rfloor ^2=10}. We need to find the smallest x that makes this equation true. This involves a dance between x squared inside a floor function and the square of x's floor. The interplay between these two terms is where the magic (and the challenge) lies. To really get our hands dirty, let's consider how we can express x more conveniently. Since we're dealing with floor functions, it makes sense to think of x as having an integer part and a fractional part. This is a classic technique when floor functions are involved, and it's going to help us immensely. By expressing x this way, we can start untangling the equation and see what possibilities emerge. This sets the stage for a more systematic approach, and it's a technique you'll find useful in many floor function problems.

Expressing x with Integer and Fractional Parts

Okay, let’s get down to the nitty-gritty. Let's represent x as the sum of its integer part and its fractional part. We can write x as x=n+Ξ±{x = n + \alpha}, where n is an integer (that's ⌊xβŒ‹{\lfloor x \rfloor}, by the way) and Ξ±{\alpha} is the fractional part, living in the interval [0,1){[0, 1)}. This means 0≀α<1{0 \leq \alpha < 1}. Think of n as the whole number part of x and Ξ±{\alpha} as the decimal part. For example, if x=3.14{x = 3.14}, then n=3{n = 3} and Ξ±=0.14{\alpha = 0.14}. Now, why is this representation so useful? Well, it allows us to rewrite our original equation in terms of n and Ξ±{\alpha}, which can make the equation much easier to handle. Specifically, ⌊xβŒ‹{\lfloor x \rfloor} becomes simply n, and ⌊x2βŒ‹{\lfloor x^2 \rfloor} becomes ⌊(n+Ξ±)2βŒ‹{\lfloor (n + \alpha)^2 \rfloor}. This is a significant simplification because it separates the integer and fractional parts, allowing us to analyze their contributions more clearly. Now we can rewrite our original equation ⌊x2βŒ‹βˆ’βŒŠxβŒ‹2=10{\lfloor x^2\rfloor - \lfloor x\rfloor ^2=10} as ⌊(n+Ξ±)2βŒ‹βˆ’n2=10{\lfloor (n + \alpha)^2 \rfloor - n^2 = 10}. This new form gives us a clearer path forward. We've transformed the problem into something more manageable by explicitly including the integer and fractional parts. This is a common and powerful strategy when dealing with floor functions, and it's a great tool to have in your mathematical toolkit. From here, we can start expanding and simplifying to further isolate our variables and hopefully get closer to a solution. This algebraic manipulation is a key step in solving the problem analytically, and it's going to help us uncover the range of possible values for n and Ξ±{\alpha}.

Substituting and Simplifying the Equation

Alright, let's roll up our sleeves and get into the algebra! We've got our equation ⌊(n+Ξ±)2βŒ‹βˆ’n2=10{\lfloor (n + \alpha)^2 \rfloor - n^2 = 10}, and now it’s time to expand and simplify. First, let’s expand the square inside the floor function: (n+Ξ±)2=n2+2nΞ±+Ξ±2{(n + \alpha)^2 = n^2 + 2n\alpha + \alpha^2}. So, our equation now looks like this: ⌊n2+2nΞ±+Ξ±2βŒ‹βˆ’n2=10{\lfloor n^2 + 2n\alpha + \alpha^2 \rfloor - n^2 = 10}. Now, here’s a neat trick: since n is an integer, n2{n^2} is also an integer. This means we can pull it out of the floor function. Think of it this way: ⌊extinteger+extsomethingβŒ‹=extinteger+⌊extsomethingβŒ‹{\lfloor ext{integer} + ext{something} \rfloor = ext{integer} + \lfloor ext{something} \rfloor}. Applying this to our equation, we get: n2+⌊2nΞ±+Ξ±2βŒ‹βˆ’n2=10{n^2 + \lfloor 2n\alpha + \alpha^2 \rfloor - n^2 = 10}. See how the n2{n^2} terms cancel out beautifully? We're left with: ⌊2nΞ±+Ξ±2βŒ‹=10{\lfloor 2n\alpha + \alpha^2 \rfloor = 10}. This is fantastic progress! We've managed to distill our equation down to a much simpler form. It now directly relates the integer 10 to the floor of an expression involving n and Ξ±{\alpha}. This simplification is a crucial step because it allows us to focus on the key relationship between the integer n, the fractional part Ξ±{\alpha}, and the value 10. From here, we can start thinking about the implications of the floor function. Remember, the floor function gives us an integer, so 2nΞ±+Ξ±2{2n\alpha + \alpha^2} must be somewhere in the interval [10,11){[10, 11)} because its floor is 10. This gives us a solid foundation to build upon, and we can start setting up inequalities to further constrain the possible values of n and Ξ±{\alpha}. This is where the real problem-solving begins, and we're well on our way to finding the least x that satisfies our original equation.

Establishing Inequalities

Okay, let’s translate the floor function into inequalities. We've got ⌊2nΞ±+Ξ±2βŒ‹=10{\lfloor 2n\alpha + \alpha^2 \rfloor = 10}, which means the expression inside the floor function, 2nΞ±+Ξ±2{2n\alpha + \alpha^2}, must be greater than or equal to 10, but strictly less than 11. In mathematical terms, we can write this as: 10≀2nΞ±+Ξ±2<11{10 \leq 2n\alpha + \alpha^2 < 11}. This inequality is our new playground, and it's where we're going to hunt for the solution. Now, remember that 0≀α<1{0 \leq \alpha < 1}. This is a crucial piece of information because it puts a limit on how large Ξ±2{\alpha^2} can be. Specifically, since Ξ±{\alpha} is less than 1, Ξ±2{\alpha^2} is also less than 1. This might seem like a small detail, but it's actually quite powerful. It allows us to simplify our inequality further and get a better handle on the relationship between n and Ξ±{\alpha}. We can use this fact to isolate terms and potentially find bounds on n. For instance, we know that 2nΞ±+Ξ±2{2n\alpha + \alpha^2} is at least 10. Since Ξ±2{\alpha^2} is less than 1, the term 2nΞ±{2n\alpha} must contribute the bulk of that value. This gives us a hint that n might not be too small, otherwise, it would be hard for 2nΞ±{2n\alpha} to reach 10. This kind of reasoning helps us narrow down the possibilities and focus our efforts on the most promising ranges of values. We can also start thinking about how to manipulate these inequalities to solve for Ξ±{\alpha} in terms of n, or vice versa. This algebraic dance is at the heart of solving the problem analytically, and it’s what will ultimately lead us to the smallest x that works. By carefully analyzing these inequalities and leveraging the fact that 0≀α<1{0 \leq \alpha < 1}, we can unlock the solution to our problem.

Solving for Ξ± and Finding the Range of n

Let's dive deeper into those inequalities and see what we can uncover. We have 10≀2nΞ±+Ξ±2<11{10 \leq 2n\alpha + \alpha^2 < 11} and we know that 0≀α<1{0 \leq \alpha < 1}. Our goal now is to use these facts to find the possible range of values for n. To do this, let's first focus on the left side of the inequality: 10≀2nΞ±+Ξ±2{10 \leq 2n\alpha + \alpha^2}. We can rewrite this as a quadratic inequality in Ξ±{\alpha}: Ξ±2+2nΞ±βˆ’10β‰₯0{\alpha^2 + 2n\alpha - 10 \geq 0}. Now, solving this quadratic inequality for Ξ±{\alpha} directly can be a bit messy. Instead, let's think about the implications. We know that Ξ±{\alpha} must exist within the interval [0,1){[0, 1)}, and this inequality must hold true. This means that the quadratic expression Ξ±2+2nΞ±βˆ’10{\alpha^2 + 2n\alpha - 10} must be non-negative for some Ξ±{\alpha} in [0,1){[0, 1)}. For this to happen, the quadratic must either have no real roots or have real roots, but at least one of them is outside the interval [0,1){[0, 1)}. The discriminant of the quadratic is (2n)2βˆ’4(1)(βˆ’10)=4n2+40{(2n)^2 - 4(1)(-10) = 4n^2 + 40}, which is always positive, so we always have real roots. Now, let's think about what happens when Ξ±=0{\alpha = 0}. The inequality becomes 02+2n(0)βˆ’10β‰₯0{0^2 + 2n(0) - 10 \geq 0}, which simplifies to βˆ’10β‰₯0{-10 \geq 0}. This is clearly false, which means the smaller root of the quadratic must be negative. Let's call the roots Ξ±1{\alpha_1} and Ξ±2{\alpha_2}, with Ξ±1<Ξ±2{\alpha_1 < \alpha_2}. We know Ξ±1{\alpha_1} is negative. For the inequality Ξ±2+2nΞ±βˆ’10β‰₯0{\alpha^2 + 2n\alpha - 10 \geq 0} to hold for some Ξ±{\alpha} in [0,1){[0, 1)}, we need the larger root, Ξ±2{\alpha_2}, to be less than 1, or the inequality will not hold for all values in the range. Now, let’s use the quadratic formula to find the roots: Ξ±=βˆ’2nΒ±4n2+402=βˆ’nΒ±n2+10{\alpha = \frac{-2n \pm \sqrt{4n^2 + 40}}{2} = -n \pm \sqrt{n^2 + 10}}. The larger root is Ξ±2=βˆ’n+n2+10{\alpha_2 = -n + \sqrt{n^2 + 10}}. We need this to be less than 1, so βˆ’n+n2+10<1{-n + \sqrt{n^2 + 10} < 1}. Rearranging, we get n2+10<n+1{\sqrt{n^2 + 10} < n + 1}. Squaring both sides (since both sides are positive), we have n2+10<n2+2n+1{n^2 + 10 < n^2 + 2n + 1}, which simplifies to 9<2n{9 < 2n}, or n>4.5{n > 4.5}. Since n is an integer, this means n must be at least 5. This is a crucial finding! We've established a lower bound for n. Now, we need to find an upper bound or see if there's a specific value of n that works. To do that, let's bring in the other side of our original inequality.

Refining the Range and Finding the Solution

Okay, we've pinned down that nβ‰₯5{n \geq 5}. Now, let's bring in the upper bound from our inequality: 2nΞ±+Ξ±2<11{2n\alpha + \alpha^2 < 11}. We need to figure out if there's an upper limit on n or if a specific value of n will give us the smallest x. Let's rewrite the inequality as Ξ±2+2nΞ±βˆ’11<0{\alpha^2 + 2n\alpha - 11 < 0}. Now, let's consider the quadratic expression f(Ξ±)=Ξ±2+2nΞ±βˆ’11{f(\alpha) = \alpha^2 + 2n\alpha - 11}. We want to find values of Ξ±{\alpha} in [0,1){[0, 1)} for which this expression is negative. We know that f(0)=βˆ’11{f(0) = -11}, which is negative. So, as long as the larger root of the quadratic is greater than 0, there will be some interval where f(Ξ±){f(\alpha)} is negative. Let's find the roots of Ξ±2+2nΞ±βˆ’11=0{\alpha^2 + 2n\alpha - 11 = 0} using the quadratic formula: Ξ±=βˆ’2nΒ±(2n)2βˆ’4(1)(βˆ’11)2=βˆ’nΒ±n2+11{\alpha = \frac{-2n \pm \sqrt{(2n)^2 - 4(1)(-11)}}{2} = -n \pm \sqrt{n^2 + 11}}. The larger root is Ξ±2=βˆ’n+n2+11{\alpha_2 = -n + \sqrt{n^2 + 11}}. Since we need Ξ±2{\alpha_2} to be positive, which it always will be for positive n, we know there will be some interval where f(Ξ±)<0{f(\alpha) < 0}. Now, we also need Ξ±2<1{\alpha_2 < 1} to ensure that there's a solution within our Ξ±{\alpha} range of [0,1){[0, 1)}. So, let's set up the inequality βˆ’n+n2+11<1{-n + \sqrt{n^2 + 11} < 1}. Rearranging, we get n2+11<n+1{\sqrt{n^2 + 11} < n + 1}. Squaring both sides, we have n2+11<n2+2n+1{n^2 + 11 < n^2 + 2n + 1}, which simplifies to 10<2n{10 < 2n}, or n>5{n > 5}. So, n must be greater than 5. This is interesting! We previously found that nβ‰₯5{n \geq 5}, and now we have n>5{n > 5}. This means n cannot be 5. Let's try n = 6. Our original inequality was 10≀2nΞ±+Ξ±2<11{10 \leq 2n\alpha + \alpha^2 < 11}. Substituting n = 6, we get 10≀12Ξ±+Ξ±2<11{10 \leq 12\alpha + \alpha^2 < 11}. Let's look at the lower bound: 10≀12Ξ±+Ξ±2{10 \leq 12\alpha + \alpha^2}. This gives us Ξ±2+12Ξ±βˆ’10β‰₯0{\alpha^2 + 12\alpha - 10 \geq 0}. Using the quadratic formula, Ξ±=βˆ’12Β±122βˆ’4(1)(βˆ’10)2=βˆ’6Β±36+10=βˆ’6Β±46{\alpha = \frac{-12 \pm \sqrt{12^2 - 4(1)(-10)}}{2} = -6 \pm \sqrt{36 + 10} = -6 \pm \sqrt{46}}. The positive root is βˆ’6+46β‰ˆβˆ’6+6.78β‰ˆ0.78{-6 + \sqrt{46} \approx -6 + 6.78 \approx 0.78}. Now, let's look at the upper bound: 12Ξ±+Ξ±2<11{12\alpha + \alpha^2 < 11}. This gives us Ξ±2+12Ξ±βˆ’11<0{\alpha^2 + 12\alpha - 11 < 0}. Using the quadratic formula, Ξ±=βˆ’12Β±122βˆ’4(1)(βˆ’11)2=βˆ’6Β±36+11=βˆ’6Β±47{\alpha = \frac{-12 \pm \sqrt{12^2 - 4(1)(-11)}}{2} = -6 \pm \sqrt{36 + 11} = -6 \pm \sqrt{47}}. The positive root is βˆ’6+47β‰ˆβˆ’6+6.85β‰ˆ0.85{-6 + \sqrt{47} \approx -6 + 6.85 \approx 0.85}. So, we need 0.78≀α<0.85{0.78 \leq \alpha < 0.85}. This is a valid range for Ξ±{\alpha}. Therefore, the smallest integer value for n that works is 6. Now, to find the smallest x, we need the smallest Ξ±{\alpha} that satisfies 10=12Ξ±+Ξ±2{10 = 12\alpha + \alpha^2}. We already found that Ξ±=βˆ’6+46{\alpha = -6 + \sqrt{46}}. So, the smallest x is x=n+Ξ±=6+(βˆ’6+46)=46{x = n + \alpha = 6 + (-6 + \sqrt{46}) = \sqrt{46}}. Fantastic! We've found our answer.

Final Answer and Conclusion

Alright, guys, after all that algebraic maneuvering, we've finally arrived at the solution! The smallest value of x that satisfies the equation ⌊x2βŒ‹βˆ’βŒŠxβŒ‹2=10{\lfloor x^2\rfloor - \lfloor x\rfloor ^2=10} is x=46{x = \sqrt{46}}. How cool is that? We started with a somewhat intimidating equation involving floor functions and, by carefully breaking it down, expressing x in terms of its integer and fractional parts, and using inequalities, we were able to pinpoint the exact answer. This journey highlights the power of analytical techniques in solving mathematical problems. Graphing can give us a visual sense of what's going on, but the real satisfaction comes from cracking the problem open using algebra and logic. Remember, the key steps here were representing x as n+Ξ±{n + \alpha}, setting up the inequalities, and then solving for the integer and fractional parts. This is a strategy you can apply to many problems involving floor functions. So, the next time you encounter a similar challenge, don't shy away! Embrace the process, break it down step by step, and you might just surprise yourself with what you can achieve. Math is awesome, isn't it? Keep those brains buzzing, and I'll catch you in the next math adventure!