Linear Algebra : Matrices

Study concepts, example questions & explanations for Linear Algebra

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Example Questions

Example Question #2 : Vector Vector Product

Calculate , given 

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Correct answer:

Explanation:

By definition, 

.

Example Question #131 : Matrices

What is the physical significance of the resultant vector , if ?

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 is orthogonal to both  and .

 lies in the same plane that contains both  and .

 is a scalar.

 is the projection of  onto .

Correct answer:

 is orthogonal to both  and .

Explanation:

By definition, the resultant cross product vector (in this case, ) is orthogonal to the original vectors that were crossed (in this case,  and ).  In , this means that  is a vector that is normal to the plane containing  and .

Example Question #4 : Vector Vector Product

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Example Question #132 : Matrices

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Example Question #7 : Vector Vector Product

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Example Question #8 : Vector Vector Product

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Example Question #9 : Vector Vector Product

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Example Question #10 : Vector Vector Product

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Example Question #133 : Matrices

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Explanation:

Example Question #134 : Matrices

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Correct answer:

Explanation:

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