Week 15 Flashcards

1
Q

Symmetric Matrix?

A

if a matrix has eigenvalues (which all square matrices do) and its kernel is always orthogonal to its range, then the matrix must be symmetric.

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2
Q

For symmetrical matrix, how to get matrix A B->B

A
  • if the base belongs to the transformation e.g. (the Range) , multiply by the eigenvalue

-for kernel we multiply the eigenvector of kernel by it’s eigenvalue

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3
Q

∇ f( x,y)

A

-partial derivatives of each, sub in then transposed

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4
Q

Bottom value for normal vector of tangent plane in R^2?

A

-1

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5
Q

slope of d?

A

vertical displacement/ horizontal distance

^we can use the vectors in d

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6
Q

Unit vector when gradient is same direction as directional derivative (rate of increase is max)

A

u = gradient of f / mod gradient of f

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7
Q

Unit vector when gradient is opposite direction as directional derivative (rate of decrease is max)

A

u = - gradient of f / mod gradient of f

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8
Q

Unit vector when gradient is opposite direction as directional derivative (no rate)

A

orthogonal unit vector to rate of increase/decrease is max

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9
Q

Directional derivative?

A

∇ h(ab) u / ll u ll

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10
Q
A
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