System Relationships and Linearity Concepts

System Relationships and Linearity Concepts

Assessment

Interactive Video

Physics

11th - 12th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial covers the definition and analysis of linear and nonlinear systems, focusing on the principle of superposition. It explains the laws of additivity and homogeneity, and provides examples and problems to determine system linearity. The tutorial emphasizes the role of time scaling in identifying linear systems and includes a homework problem for further practice.

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14 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the principle of superposition composed of?

Law of additivity and law of homogeneity

Law of relativity and law of opportunity

Law of scaling and law of transformation

Law of input and law of output

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the principle of superposition determine about a system?

Its stability

Its linearity

Its complexity

Its efficiency

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the example YT = X sine T, what operation is the system performing?

Time shifting

Amplitude modulation

Time scaling

Frequency modulation

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the nature of the system if it only performs time scaling?

Linear

Complex

Nonlinear

Unstable

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the first problem, what is the relationship given for YT?

YT = X sine T

YT = X T Square

YT = X log T

YT = X square T

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the functionality of the system in the first problem?

It replaces T with T Square

It squares the input

It scales the input by a constant

It adds a constant to the input

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What conclusion can be drawn about time scaling and system linearity?

Time scaling results in an unstable system

Time scaling is irrelevant to system linearity

Time scaling always results in a nonlinear system

Time scaling always results in a linear system

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