Linearity in Systems Analysis

Linearity in Systems Analysis

Assessment

Interactive Video

Physics

11th - 12th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial covers the concepts of linear and nonlinear systems, focusing on the principle of superposition, which includes the laws of additivity and homogeneity. It provides examples and problems to determine system linearity, emphasizing time scaling as a key factor in linear systems. The tutorial concludes with a homework problem for further practice.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the principle of superposition composed of?

Law of relativity and law of opportunity

Law of input and law of output

Law of additivity and law of homogeneity

Law of scaling and law of transformation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the example problem, what operation is performed by the system to determine its linearity?

Amplitude scaling

Frequency modulation

Time scaling

Time shifting

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the nature of the system with the relationship YT = X T Square?

Non-linear

Linear

Time-variant

Time-invariant

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which law is checked first to determine the linearity of a system?

Law of additivity

Law of opportunity

Law of homogeneity

Law of relativity

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the functionality of the system with YT = X T Square?

It adds a constant to the input

It squares the input

It scales the input by a constant

It multiplies the input by time

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the system with YT = X log T demonstrate its linearity?

By following the law of homogeneity

By being dependent on time scaling

By being independent of time scaling

By following the law of additivity

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the key property of linear systems discussed in the second problem?

Linearity is independent of input scaling

Linearity is dependent on input scaling

Linearity is independent of time scaling

Linearity is dependent on time scaling

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