Chapter 1: Problem 4
Interpret these results geometrically in terms of the parallelogram formed by \(x\) and \(y\). Verify the Cauchy-Schwarz inequality and the triangle inequality for the vectors. $$\mathbf{x}=(1,0,2,6), \mathbf{y}=(3,8,4,1)$$
Short Answer
Expert verified
Cauchy-Schwarz and triangle inequalities are both satisfied for vectors \(\mathbf{x}\) and \(\mathbf{y}\).
Step by step solution
01
Calculate the Dot Product
To verify the Cauchy-Schwarz inequality, we first need the dot product of \( \mathbf{x} \) and \( \mathbf{y} \): \( \mathbf{x} \cdot \mathbf{y} = (1)(3) + (0)(8) + (2)(4) + (6)(1) = 3 + 0 + 8 + 6 = 17 \).
02
Calculate the Magnitudes
Next, calculate the magnitudes of both vectors. For \( \mathbf{x} \): \( ||\mathbf{x}|| = \sqrt{1^2 + 0^2 + 2^2 + 6^2} = \sqrt{1 + 0 + 4 + 36} = \sqrt{41} \).For \( \mathbf{y} \): \( ||\mathbf{y}|| = \sqrt{3^2 + 8^2 + 4^2 + 1^2} = \sqrt{9 + 64 + 16 + 1} = \sqrt{90} \).
03
Verify Cauchy-Schwarz Inequality
The Cauchy-Schwarz inequality states that \( |\mathbf{x} \cdot \mathbf{y}| \leq ||\mathbf{x}|| \times ||\mathbf{y}|| \). We calculate:\( ||\mathbf{x}|| \times ||\mathbf{y}|| = \sqrt{41} \times \sqrt{90} = \sqrt{3690} \).Check the inequality: \( 17 \leq \sqrt{3690} \). Since 17 is less than \( \sqrt{3690} \), the inequality holds.
04
Calculate Vector Sums
For the triangle inequality, compute the sum of magnitudes:\( ||\mathbf{x} + \mathbf{y}|| \) First, find the vector sum: \( \mathbf{x} + \mathbf{y} = (1+3, 0+8, 2+4, 6+1) = (4, 8, 6, 7) \).Find the magnitude: \( ||\mathbf{x} + \mathbf{y}|| = \sqrt{4^2 + 8^2 + 6^2 + 7^2} = \sqrt{16 + 64 + 36 + 49} = \sqrt{165} \).
05
Verify Triangle Inequality
The triangle inequality states that:\( ||\mathbf{x} + \mathbf{y}|| \leq ||\mathbf{x}|| + ||\mathbf{y}|| \).Calculate the right term:\( ||\mathbf{x}|| + ||\mathbf{y}|| = \sqrt{41} + \sqrt{90} \). The condition is verified if:\( \sqrt{165} \leq \sqrt{41} + \sqrt{90} \). Both sides are positive, confirming that the triangle inequality holds.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
triangle inequality
The triangle inequality is a fundamental concept in vector analysis. It states that for any vectors \( \mathbf{x} \) and \( \mathbf{y} \), the magnitude of their sum is less than or equal to the sum of their magnitudes:
\( ||\mathbf{x} + \mathbf{y}|| \leq ||\mathbf{x}|| + ||\mathbf{y}|| \).
Imagine two sides of a triangle represented by vectors \( \mathbf{x} \) and \( \mathbf{y} \). The vector sum \( \mathbf{x} + \mathbf{y} \), which is the third side, cannot be longer than the sum of the other two sides.
This lets us visually imagine the concept:
\( ||\mathbf{x} + \mathbf{y}|| \leq ||\mathbf{x}|| + ||\mathbf{y}|| \).
Imagine two sides of a triangle represented by vectors \( \mathbf{x} \) and \( \mathbf{y} \). The vector sum \( \mathbf{x} + \mathbf{y} \), which is the third side, cannot be longer than the sum of the other two sides.
This lets us visually imagine the concept:
- The sum of the lengths is always stretched to its maximum when vectors are aligned.
- In other cases, the added vectors form angles, shortening the vector sum relative to the direct path.
vector dot product
The vector dot product is a way to quantify the relationship between two vectors. For two vectors \( \mathbf{x} = (x_1, x_2, ..., x_n) \) and \( \mathbf{y} = (y_1, y_2, ..., y_n) \), the dot product is calculated as:
\( \mathbf{x} \cdot \mathbf{y} = x_1 y_1 + x_2 y_2 + ... + x_n y_n \).
This product results in a scalar and serves several purposes in vector mathematics.
Here are a few key points about the dot product:
\( \mathbf{x} \cdot \mathbf{y} = x_1 y_1 + x_2 y_2 + ... + x_n y_n \).
This product results in a scalar and serves several purposes in vector mathematics.
Here are a few key points about the dot product:
- It measures how two vectors align with each other.
- When the dot product is zero, the vectors are orthogonal (perpendicular).
- The larger the dot product, the more parallel the vectors are.
vector magnitudes
The magnitude of a vector is akin to finding the length of a straight line segment in Euclidean space, fundamentally rooted in the Pythagorean theorem. For a vector \( \mathbf{x} = (x_1, x_2, ..., x_n) \), its magnitude, denoted as \( ||\mathbf{x}|| \), is given by:
\( ||\mathbf{x}|| = \sqrt{x_1^2 + x_2^2 + ... + x_n^2} \).
This calculation draws a clear image of the vector's size or length in its space.
\( ||\mathbf{x}|| = \sqrt{x_1^2 + x_2^2 + ... + x_n^2} \).
This calculation draws a clear image of the vector's size or length in its space.
- Magnitudes tell us about the distance a vector covers from the origin to its endpoint.
- It provides foundational elements for evaluating and verifying inequalities like the Cauchy-Schwarz inequality.
- A zero magnitude indicates the absence or zero existence of the vector in that space.
parallelogram interpretation
The parallelogram interpretation provides a visual way to understand operations involving vectors, especially sums, dot products, and magnitudes. Imagine vectors \( \mathbf{x} \) and \( \mathbf{y} \) forming adjacent sides of a parallelogram. The sum of these vectors, \( \mathbf{x} + \mathbf{y} \), creates the diagonal across the parallelogram.
In this geometric framework:
In this geometric framework:
- The diagonal length reflects the vector sum magnitude.
- The parallelogram helps visualize how vectors add up spatially.
- The area can relate to the dot product magnitude when vectors are orthogonal.