linear algebra Flashcards

1
Q

calculating dot product through magnitude of vectors and cosine Theta

A
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2
Q

calculating dot product through distances on the plane

A
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3
Q

what is the dot product equal to, when to vectors are at a right angle to each other (90 degree)?

A

their dot product would always be zero

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4
Q

why cosine Theta in the dot product?

A

to make vector “look in the same direction”, as if measuring the shadow of one of them lying on top of the other

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5
Q

difference between vector and scalar?

A

Vectors have magnitude and direction

Scalars have magnitude only

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6
Q

calculating the cross product with sinus Theta

A
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7
Q

calculating the cross product through magnitudes

A
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8
Q

main difference between dot product and cross product

A

the result of dot product is scalar quantity

the result of cross product is vector quantity

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9
Q

What is the dot product of two orthogonal vectors equal to?

A

zero, because cos(90 degree) is equal to zero

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10
Q

what does a dot product return?

A

magnitude (scalar)

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11
Q

what does a cross product return?

A

another vector, perpendicular to the previous 2

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12
Q

what does the magnitude of vector “c” designate, in relation to vectors “a” and “b”?

A
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13
Q

what is cross product parallelogram?

A

Think of the parallelogram formed by vector a and vector b. The base of this parallelogram has length ∥a∥ (vector magnitude) and the height has length ∥b∥sin(θ). That means the area of the parallelogram in total is precisely the magnitude of the cross product.

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14
Q

Right hand rule for cross product

A
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15
Q

what do dot and cross products measure?

A

The dot product measures how much two vectors point in the same direction, but the cross product measures how much two vectors point in different directions.

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16
Q

euclidian distance between two matrices (formula)

A

through Pythagoras, for any number of dimensions.

17
Q

what are the implicit dimensions of a zero matrix?

A

It is understood that the dimensions of the zero matrix match the dimensions of matrix A (the one it is being manimulated with.)

18
Q

5 properties of matrices

A
19
Q

When is multiplication of 2 matrices defined? (condition)

A

in order for matrix multiplication to be defined, the number of columns in the first matrix must be equal to the number of rows in the second matrix

20
Q

What is the multiplication product of m x n and n x k matrices?

A

m x k matrix

btw this multiplication of m x n and n x k is defined, because n1 is equal to n2, i.e. the number of columns of the first matrix is equal to the number of rows in the second matrix.

21
Q

Identity Matrix formula

A

A I = I A = A

22
Q

Identity Matrix form

A
23
Q

Identity Matrix dimensions

A

it is always a square, regardless of the other matrix´s shape

24
Q

properties of matrix multiplication

A
25
Q

what are collinear vectors?

A

vectors are collinear, if they lie on the same line or parallel lines.

26
Q

secant line?

A

сессанта

27
Q

Elementary row operations (Gauss-Jordan Elimination)

A
  1. Swap the positions of two of the rows
  2. Multiply one of the rows by a nonzero scalar.
  3. Add or subtract the scalar multiple of one row to another row.