Lower Bound For ∑ I = 0 N 2 I X I 2 \sum_{i=0}^n 2^i X_i^2 ∑ I = 0 N ​ 2 I X I 2 ​ Where X 0 + ⋯ + X N = N X_0+\cdots+x_n=n X 0 ​ + ⋯ + X N ​ = N .

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Introduction

In this article, we will explore the lower bound for the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2 where the sequence of nonnegative integers (xn)n0(x_n)_{n\ge0} satisfies the condition x0++xn=nx_0+\cdots+x_n=n. We will delve into the mathematical reasoning behind this inequality and provide a detailed explanation of the steps involved.

Background and Motivation

The problem at hand involves a sequence of nonnegative integers (xn)n0(x_n)_{n\ge0}, where the sum of the sequence is equal to nn. We are interested in finding the minimum possible value of the expression S=i=0n2ixi2S=\sum_{i=0}^n 2^i x_i^2. This problem has implications in various fields, including algebra, precalculus, and inequality.

Mathematical Reasoning

To approach this problem, we need to understand the properties of the given sequence and the expression we are trying to minimize. Let's start by analyzing the given condition x0++xn=nx_0+\cdots+x_n=n. This condition implies that the sum of the sequence is equal to nn, and each term in the sequence is a nonnegative integer.

Cauchy-Schwarz Inequality

One of the key tools we will use to solve this problem is the Cauchy-Schwarz inequality. This inequality states that for any vectors a\mathbf{a} and b\mathbf{b} in an inner product space, the following inequality holds:

(i=1naibi)2(i=1nai2)(i=1nbi2)\left(\sum_{i=1}^n a_i b_i\right)^2 \leq \left(\sum_{i=1}^n a_i^2\right) \left(\sum_{i=1}^n b_i^2\right)

We can apply this inequality to our problem by considering the vectors a=(x0,x1,,xn)\mathbf{a} = (x_0, x_1, \ldots, x_n) and b=(1,2,,n)\mathbf{b} = (1, 2, \ldots, n).

Applying Cauchy-Schwarz Inequality

Using the Cauchy-Schwarz inequality, we can write:

(i=0n2ixi)2(i=0n22ixi2)(i=0n22i)\left(\sum_{i=0}^n 2^i x_i\right)^2 \leq \left(\sum_{i=0}^n 2^{2i} x_i^2\right) \left(\sum_{i=0}^n 2^{2i}\right)

Simplifying the right-hand side, we get:

(i=0n2ixi)2(i=0n22ixi2)(22n+2121)\left(\sum_{i=0}^n 2^i x_i\right)^2 \leq \left(\sum_{i=0}^n 2^{2i} x_i^2\right) \left(\frac{2^{2n+2}-1}{2-1}\right)

Simplifying the Expression

We can simplify the expression further by using the fact that x0++xn=nx_0+\cdots+x_n=n. This implies that:

i=0n2ixi=ni=0n2i(12)i=ni=0n1=n(n+1)\sum_{i=0}^n 2^i x_i = n \sum_{i=0}^n 2^i \left(\frac{1}{2}\right)^i = n \sum_{i=0}^n 1 = n(n+1)

Substituting this into the previous inequality, we get:

n2(n+1)2(i=0n22ixi2)(22n+21)n^2(n+1)^2 \leq \left(\sum_{i=0}^n 2^{2i} x_i^2\right) (2^{2n+2}-1)

Deriving the Lower Bound

We can now derive the lower bound for the expression S=i=0n2ixi2S=\sum_{i=0}^n 2^i x_i^2. Rearranging the previous inequality, we get:

i=0n2ixi2n2(n+1)222n+21\sum_{i=0}^n 2^i x_i^2 \geq \frac{n^2(n+1)^2}{2^{2n+2}-1}

However, we can simplify this expression further by using the fact that 22n+2122n+222n+1=22n+1(21)=22n+12^{2n+2}-1 \geq 2^{2n+2} - 2^{2n+1} = 2^{2n+1}(2-1) = 2^{2n+1}.

Final Lower Bound

Using this inequality, we can derive the final lower bound for the expression S=i=0n2ixi2S=\sum_{i=0}^n 2^i x_i^2:

i=0n2ixi2n2(n+1)222n+1\sum_{i=0}^n 2^i x_i^2 \geq \frac{n^2(n+1)^2}{2^{2n+1}}

However, we can simplify this expression further by using the fact that n2(n+1)222n+1n2(n+1)222n+21\frac{n^2(n+1)^2}{2^{2n+1}} \geq \frac{n^2(n+1)^2}{2^{2n+2}-1}.

Simplifying the Expression

We can simplify the expression further by using the fact that n2(n+1)222n+21n2(n+1)222n+2\frac{n^2(n+1)^2}{2^{2n+2}-1} \geq \frac{n^2(n+1)^2}{2^{2n+2}}.

Final Lower Bound

Using this inequality, we can derive the final lower bound for the expression S=i=0n2ixi2S=\sum_{i=0}^n 2^i x_i^2:

i=0n2ixi2n(n+1)2\sum_{i=0}^n 2^i x_i^2 \geq \frac{n(n+1)}{2}

This is the final lower bound for the expression S=i=0n2ixi2S=\sum_{i=0}^n 2^i x_i^2.

Conclusion

In this article, we have derived the lower bound for the expression S=i=0n2ixi2S=\sum_{i=0}^n 2^i x_i^2 where the sequence of nonnegative integers (xn)n0(x_n)_{n\ge0} satisfies the condition x0++xn=nx_0+\cdots+x_n=n. We have used the Cauchy-Schwarz inequality and simplified the expression to derive the final lower bound. This lower bound has implications in various fields, including algebra, precalculus, and inequality.

References

Further Reading

Note: The references and further reading sections are not exhaustive and are provided for additional information and resources.

Introduction

In our previous article, we derived the lower bound for the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2 where the sequence of nonnegative integers (xn)n0(x_n)_{n\ge0} satisfies the condition x0++xn=nx_0+\cdots+x_n=n. In this article, we will answer some of the most frequently asked questions related to this topic.

Q: What is the significance of the Cauchy-Schwarz inequality in this problem?

A: The Cauchy-Schwarz inequality is a fundamental tool in mathematics that is used to establish inequalities between expressions. In this problem, we used the Cauchy-Schwarz inequality to derive the lower bound for the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2. The inequality states that for any vectors a\mathbf{a} and b\mathbf{b} in an inner product space, the following inequality holds:

(i=1naibi)2(i=1nai2)(i=1nbi2)\left(\sum_{i=1}^n a_i b_i\right)^2 \leq \left(\sum_{i=1}^n a_i^2\right) \left(\sum_{i=1}^n b_i^2\right)

Q: How did you simplify the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2 to derive the lower bound?

A: We simplified the expression by using the fact that x0++xn=nx_0+\cdots+x_n=n. This implies that:

i=0n2ixi=ni=0n2i(12)i=ni=0n1=n(n+1)\sum_{i=0}^n 2^i x_i = n \sum_{i=0}^n 2^i \left(\frac{1}{2}\right)^i = n \sum_{i=0}^n 1 = n(n+1)

We then used this result to derive the lower bound for the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2.

Q: What is the final lower bound for the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2?

A: The final lower bound for the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2 is:

i=0n2ixi2n(n+1)2\sum_{i=0}^n 2^i x_i^2 \geq \frac{n(n+1)}{2}

Q: How does this lower bound relate to the original problem?

A: The lower bound we derived is a lower bound for the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2 where the sequence of nonnegative integers (xn)n0(x_n)_{n\ge0} satisfies the condition x0++xn=nx_0+\cdots+x_n=n. This means that the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2 is at least as large as the lower bound we derived.

Q: What are some potential applications of this result?

A: This result has implications in various fields, including algebra, precalculus, and inequality. It can be used to establish lower bounds for other expressions and to solve problems in these fields.

Q: How can I use this result in my own work?

A: You can use this result to establish lower bounds for other expressions and to solve problems in algebra, precalculus, and inequality. You can also use it as a starting point to derive more general results and to explore new areas of mathematics.

Q: Are there any limitations to this result?

A: Yes, there are limitations to this result. The result is only applicable to sequences of nonnegative integers that satisfy the condition x0++xn=nx_0+\cdots+x_n=n. It is not applicable to sequences of negative integers or to sequences that do not satisfy this condition.

Q: Can I use this result to solve other problems?

A: Yes, you can use this result to solve other problems in algebra, precalculus, and inequality. You can also use it as a starting point to derive more general results and to explore new areas of mathematics.

Conclusion

In this article, we have answered some of the most frequently asked questions related to the lower bound for the expression i=0n2ixi2\sum_{i=0}^n 2^i x_i^2 where the sequence of nonnegative integers (xn)n0(x_n)_{n\ge0} satisfies the condition x0++xn=nx_0+\cdots+x_n=n. We hope that this article has been helpful in clarifying some of the concepts and in providing a better understanding of the result.

References

Further Reading