Understanding Linear Homogeneous Systems in the Plane

Understanding Linear Homogeneous Systems in the Plane

Assessment

Interactive Video

Mathematics

11th Grade - University

Hard

Created by

Aiden Montgomery

FREE Resource

This video tutorial explores constant coefficient linear homogeneous systems in the plane, focusing on the behavior of solutions based on the eigenvalues of a 2x2 matrix. Six cases are discussed: real positive, real negative, mixed, purely imaginary, complex with positive real part, and complex with negative real part. Each case is illustrated with examples, showing how eigenvalues and eigenvectors influence the vector field and solution behavior, such as sources, sinks, saddle points, centers, spiral sources, and spiral sinks.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary characteristic of an autonomous system in the context of linear homogeneous systems?

It depends on time.

It is always unstable.

It has no eigenvalues.

It is independent of time.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many cases of eigenvalue configurations are considered in the study of linear homogeneous systems?

Four

Five

Six

Seven

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the behavior of solutions when both eigenvalues are real and positive?

Solutions form a center.

Solutions diverge from the origin.

Solutions converge to the origin.

Solutions form a saddle point.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the term used to describe the system when both eigenvalues are real and negative?

Source

Sink

Saddle point

Center

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the case of one positive and one negative eigenvalue, what type of point is formed?

Saddle point

Center

Source

Sink

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What shape do the solutions form when the eigenvalues are purely imaginary?

Ellipses

Parabolas

Hyperbolas

Lines

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the behavior of solutions when complex eigenvalues have a positive real part?

Solutions shrink in magnitude.

Solutions grow in magnitude.

Solutions remain constant.

Solutions form a saddle point.

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