vector norms def: a norm is a function that satisfies p-norms: the most important class of vector...
TRANSCRIPT
![Page 1: Vector Norms DEF: A norm is a function that satisfies p-norms: The most important class of vector norms Example:](https://reader036.vdocuments.us/reader036/viewer/2022082817/56649dd35503460f94ac9a88/html5/thumbnails/1.jpg)
Vector Norms
DEF: A norm is a function RRn : that satisfies
p-norms: The most important class of vector norms
Example:
3
5
2
x
1x 10
2x 1644.69254
x 5
p
x p ppp 352
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Example: }1:{ xRxS n
}1:{2 xRx n
}1:{1 xRx n
}1:{ xRx n
}1:{ p
n xRx
Vector Norms
![Page 3: Vector Norms DEF: A norm is a function that satisfies p-norms: The most important class of vector norms Example:](https://reader036.vdocuments.us/reader036/viewer/2022082817/56649dd35503460f94ac9a88/html5/thumbnails/3.jpg)
Matrix Norm Induced by Vector Norm
DEF: the matrix norm of A (induced by the vector norm) is defined to be
n
m
Rxnm x
AxA
n
0,
sup mx
nmAxA
n1
,sup
DEF: If the matrix A is a square matrix
nx
nAxA
n1
sup
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Matrix Norm Induced by Vector Norm
DEF: If the matrix A is a square matrix
nx
nAxA
n1
sup
Example:
20
21A
The unit vector x that is amplified most by A is [0,1]^T, the amplification factor is 4.
41A
![Page 5: Vector Norms DEF: A norm is a function that satisfies p-norms: The most important class of vector norms Example:](https://reader036.vdocuments.us/reader036/viewer/2022082817/56649dd35503460f94ac9a88/html5/thumbnails/5.jpg)
Matrix Norm Induced by Vector Norm
DEF: If the matrix A is a square matrix
nx
nAxA
n1
sup
Example:
20
21A
The unit vector x that is amplified most by A is the vector indicated by the dashed line, the amplification factor is 2.9208. 9208.2
2A
![Page 6: Vector Norms DEF: A norm is a function that satisfies p-norms: The most important class of vector norms Example:](https://reader036.vdocuments.us/reader036/viewer/2022082817/56649dd35503460f94ac9a88/html5/thumbnails/6.jpg)
Holder Inequalities
Rem
nnnxAAx
Cauchy-Schwarz:
22xxyxT
Holder Inequality:
qp
T xxyx
qp,1 111
qp
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Holder Inequalities
Example:Tn uvARu,v and Let
2 :Compute A
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Bounding Norm of Product
BOUND:
,R and ,R,Ron norms be and, , mnl
mnl
matrix an be andmatrix be nmBmlA
nmmlnlBAAB
,,,
Example: matrix nnA
2
?
2
mmAA
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Frobenius norm or Hilbert-Schmidt
DEF: Let A be a mxn matrix2
1
1 1
2
m
i
n
jijFaA
REM:
21
1
2
2
n
jiFaA
A ofcolumn th -j ja
)( AAtrA T
F
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Frobenius norm or Hilbert-Schmidt
BOUND:nmmlnl
BAAB,,,
BOUND:FFF
BAAB
Proof: