Podcast
Questions and Answers
What part of speech is the word 'tactic'?
What part of speech is the word 'tactic'?
- Noun (correct)
- Verb
- Adverb
- Adjective
Which of the following describes what it means to 'enfeeble' something?
Which of the following describes what it means to 'enfeeble' something?
- Make new
- Strengthen
- Destroy
- Make weak (correct)
What is the main purpose of a catacomb?
What is the main purpose of a catacomb?
- To store food
- To bury bodies (correct)
- To store treasure
- To serve as a home
Which of the following best describes something that is 'perilous'?
Which of the following best describes something that is 'perilous'?
What is a key characteristic of a 'sinecure'?
What is a key characteristic of a 'sinecure'?
What does it mean to squall?
What does it mean to squall?
If someone is described as 'dumbfounded', how do they likely feel?
If someone is described as 'dumbfounded', how do they likely feel?
What can cause a person to experience 'stupefaction'?
What can cause a person to experience 'stupefaction'?
Which of these might be described 'salient'?
Which of these might be described 'salient'?
If a feature is described as 'salient', what does that mean?
If a feature is described as 'salient', what does that mean?
Flashcards
Tactic
Tactic
A plan for attaining a particular goal.
Enfeeble
Enfeeble
To make weak or feeble.
Catacomb
Catacomb
An underground tunnel with recesses where bodies were buried.
Perilous
Perilous
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Sinecure
Sinecure
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Squall
Squall
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Dumbfounded
Dumbfounded
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Stupefaction
Stupefaction
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Salient
Salient
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Study Notes
Linear Algebra - Week 6 - Diagonalization
Learning Objectives
- Students will be able to calculate matrix eigenvalues.
- Students will be able to calculate matrix eigenvectors.
- Students will be able to determine if a matrix is diagonalizable.
- Students will be able to diagonalize a given matrix.
Exercises
- Find the eigenvalues for given matrices, and find a basis for the corresponding eigenspace of each eigenvalue for matrices A, B, C, D, E, and F.
- Diagonalize matrices A, B, C, and D if possible.
- Matrix A is not diagonalizable.
- A matrix A is invertible if and only if 0 is not an eigenvalue of A.
- If A is an n x n diagonalizable matrix $A^2$ is diagonalizable.
- If A and B are n x n diagonalizable matrices, A + B is diagonalizable if and only if AB = BA.
Suggested Questions
- What is an eigenvalue?
- What is an eigenvector?
- How do you calculate the eigenvalues of a matrix?
- How do you calculate the eigenvectors of a matrix?
- What is a diagonalizable matrix?
- How do you diagonalize a given matrix?
- Why diagonalize a matrix?
Statics
Chapter 3: Equilibrium
- Equilibrium of a particle
Equilibrium of a Particle
- A particle is in equilibrium if the resultant force acting on it is zero.
- The equation for equilibrium is $\sum \vec{F} = 0$.
- In component form, the equilibrium equations are $\sum F_x = 0$, $\sum F_y = 0$, and $\sum F_z = 0$.
- Use a Free-Body Diagram (FBD) to show the particle and all forces acting on it.
Example 1
- A 200-kg crate is supported by several ropes and pulleys.
- Determine the force in rope A.
Solution
- Draw the FBD at D, showing: $F_{A}$ (Force in rope A), $F_{DB}$ (Force in rope DB), and the angles.
- Equations of Equilibrium:
- $\sum F_x = 0: F_{DB} \cos 30^\circ - F_A = 0$
- $\sum F_y = 0: F_{DB} \sin 30^\circ - w = 0$
- Where $W = mg$
- $F_{DB} = \frac{W}{\sin 30^\circ} = \frac{200 \cdot 9.81}{\sin 30^\circ} = 3924 N$
- $F_A = F_{DB} \cos 30^\circ = 3924 \cdot \cos 30^\circ = 3398 N$
Springs
- The Force Exerted by a Spring: $F = ks$
- F = Force
- k = Spring constant (stiffness)
- s = Displacement (elongation or compression)
Cables and Pulleys
- Cables have negligible weight, cannot stretch, and have the same tension throughout.
- Pulleys are frictionless and have the same cable tension on both sides.
Coplanar Force Systems
- Equilibrium equations simplify to:
- $\sum F_x = 0$
- $\sum F_y = 0$
3-D Force Systems
- Equilibrium equations are:
- $\sum F_x = 0$
- $\sum F_y = 0$
- $\sum F_z = 0$
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Description
Learn to calculate eigenvalues and eigenvectors. Determine if a matrix is diagonalizable and diagonalize matrices when possible. Explore the relationship between invertibility, eigenvalues, and diagonalizability.