What is the Maximum Value of Lambda in this Vector Algebra Challenge?

In summary: Therefore, the maximum value of $\lambda$ is $\boxed{3}$.ii) a) To find the volume of the parallelepiped determined by $\vec{a}$, $\vec{b}$, and $\vec{c}$, we can use the formula $V=\left|\left(\vec{a}\cdot\vec{b}\right)\times\left(\vec{a}\cdot\vec{c}\right)\right|$. Substituting in the given values, we have $V=\left|\left(\vec{a}\cdot\vec{b}\right)\times\left(\vec{a}\cdot\vec{c}\right
  • #1
Saitama
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Let $\vec{a}$, $\vec{b}$ and $\vec{c}$ be three unit vectors such that $\left|\vec{a}+\vec{b}+\vec{c}\right|=\sqrt{3}$ and $\left(\vec{a}\times\vec{b}\right)\cdot \left(\vec{b}\times\vec{c}\right)+\left(\vec{b}\times\vec{c}\right)\cdot \left(\vec{c}\times\vec{a}\right)+\left(\vec{c}\times\vec{a}\right)\cdot \left(\vec{a}\times\vec{b}\right)=\lambda$.

i) Find the maximum value of $\lambda$.

ii) Corresponding to this maximum value of $\lambda$, find

a)The volume of parallelepiped determined by $\vec{a}$, $\vec{b}$ and $\vec{c}$ is $\sqrt{3}$.

b)The value of $\left|\left(2\vec{a}+3\vec{b}+4\vec{c}\right)\cdot \left(\vec{a}\times \vec{b}+5\vec{b}\times \vec{c}+6\vec{c}\times \vec{a}\right)\right|$.
 
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  • #2

Thank you for your interesting question. I would like to provide you with the answers to your questions.

i) To find the maximum value of $\lambda$, we can use the Cauchy-Schwarz inequality, which states that for any two vectors $\vec{u}$ and $\vec{v}$, we have $\left|\vec{u}\cdot\vec{v}\right|\leq \left|\vec{u}\right|\cdot\left|\vec{v}\right|$. Applying this to the given equation, we have
$$\left|\left(\vec{a}\times\vec{b}\right)\cdot \left(\vec{b}\times\vec{c}\right)+\left(\vec{b}\times\vec{c}\right)\cdot \left(\vec{c}\times\vec{a}\right)+\left(\vec{c}\times\vec{a}\right)\cdot \left(\vec{a}\times\vec{b}\right)\right|\leq \left|\vec{a}\times\vec{b}\right|\cdot\left|\vec{b}\times\vec{c}\right|+\left|\vec{b}\times\vec{c}\right|\cdot\left|\vec{c}\times\vec{a}\right|+\left|\vec{c}\times\vec{a}\right|\cdot\left|\vec{a}\times\vec{b}\right|$$
$$=\left|\vec{a}\times\vec{b}\right|\cdot\left|\vec{b}\right|\cdot\left|\vec{c}\right|+\left|\vec{b}\times\vec{c}\right|\cdot\left|\vec{c}\right|\cdot\left|\vec{a}\right|+\left|\vec{c}\times\vec{a}\right|\cdot\left|\vec{a}\right|\cdot\left|\vec{b}\right|=\left|\vec{a}\right|\cdot\left|\vec{b}\right|\cdot\left|\vec{c}\right|\cdot\left(\left|\vec{a}\right|+\left|\vec{b}\right|+\left|\vec{c}\right|\right)=\left|\vec{a}+\vec{b}+\vec{c}\right
 

Related to What is the Maximum Value of Lambda in this Vector Algebra Challenge?

1. What is vector algebra?

Vector algebra is a branch of mathematics that deals with the manipulation and analysis of vectors, which are mathematical objects that have both magnitude and direction. It is used to solve problems involving quantities that have both size and direction, such as velocity and force.

2. What is the purpose of the "Vector algebra challenge"?

The "Vector algebra challenge" is designed to test your understanding and application of vector algebra concepts. It presents a series of problems that require you to use vector algebra techniques to find solutions.

3. What are some common operations in vector algebra?

Some common operations in vector algebra include addition, subtraction, scalar multiplication, dot product, and cross product. Addition and subtraction involve combining or separating vectors, while scalar multiplication involves multiplying a vector by a scalar (a real number). The dot product and cross product are two ways of multiplying two vectors together.

4. How can vector algebra be applied in real life?

Vector algebra has many practical applications in various fields, such as physics, engineering, and computer graphics. For example, it can be used to analyze the forces acting on an object, calculate the direction and magnitude of a moving object, or create 3D animations and simulations.

5. What are some tips for solving vector algebra problems?

Some tips for solving vector algebra problems include drawing diagrams to visualize the vectors, using the properties of vectors (such as the commutative and associative properties), and breaking down complex problems into smaller, more manageable steps. It is also important to understand the concepts behind vector algebra and practice solving different types of problems.

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