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\cB-coordinates
change of basis matrix중요
computing
row reduction중요
with respect to an orthogonal basis중요
definition of정의
informally문단
labeling points중요
nonstandard grid예제
Algebraic multiplicity
and diagonalizability정리
and geometric multiplicity정리
definition of정의
equals one중요
of similar matrices정리
Approximate solution참조 Least-squares
Augmented matrix참조 Matrix
Basis
and orthogonal projection따름정리
basis theorem기저 정리
coordinates with respect to참조 \cB-coordinates
definition of정의
infinitely many중요
making orthogonal정리
of a column space정리
of a null space정리
of a span문단
span of an orthogonal set사실
uniqueness with respect to사실
Best-fit problem소절
best-fit ellipse예제
best-fit line예제
best-fit linear equation예제
best-fit parabola예제
best-fit trigonometric function예제
general setup문단
Block Diagonalization Theorem블록 대각화 정리
Characteristic polynomial
and eigenvalues정리
definition of정의
factoring by hand문단
form of정리
of a 2\times 2 matrix중요
of similar matrices사실
Codomain참조 Transformation
Cofactor참조 Matrix
Color space예제
Column rank참조 Rank
Column space
and invertibility가역행렬 정리
and rank참조 Rank
basis of참조 Basis
definition of정의
is a subspace문단
is row space of transpose문단
of an orthogonal projection명제
orthogonal complement of명제중요
range of a transformation중요
versus the solution set소절
Column span참조 Column space
Complex conjugation참조 Complex numbers
Complex eigenvalue
2\times 2 matrices
and rotation-scaling matrices회전-확대 정리
and rotation-scaling matrices, computing중요
different rotation-scaling matrices문단
geometry of소절
3\times 3 matrices
dynamics of예제
conjugate pairs중요
existence of중요
Complex numbers
absolute value항목
arithmetic of노트
conjugation항목
definition of정의
real and imaginary parts of항목
vectors문단
Consistent참조 System of linear equations
Cramer’s rule정리
and computing inverses정리
Determinant
alternative defining properties of참고
and column operations따름정리
and computing inverses정리
and powers of matrices따름정리
and row operations정의
and volumes정리
computation of
cofactor expansion정리
row reduction계산 절차
defining properties of정의
existence and uniqueness of정리
identity matrix정의
invertibility property명제가역행렬 정리
methods of computation중요
multilinearity property명제
multiplicativity property명제
and volumes참고
of a 2\times 2 matrix정의예제예제
of a 3\times 3 matrix중요
of similar matrices문단
properties of중요
transpose property명제
Diagonal
see Matrix정의
Diagonalizability
algebraic-geometric multiplicity criterion정리
criterion for similarity중요
definition of정의
diagonal matrices예제예제
distinct eigenvalues중요
geometry of소절
is unrelated to invertibility중요
of 2\times 2 matrices예제
of 3\times 3 matrices예제
of a projection matrix명제
order of eigenvalues노트
powers of중요
projection예제
recipe중요
shear예제
similar matrices예제
Difference equation정의
eigenvectors of예제
inverse of예제예제
Dimension
definition of정의
of a column space정의
of a null space정의
of a solution set중요중요
of an orthogonal complement사실
Domain참조 Transformation
Dot product
and angles참고
and distance정의
and length사실
definition of정의
properties of노트
Eigenspace
and the null space사실
computation중요
definition of정의
is a solution set문단
is a subspace문단
of a projection matrix명제
of similar matrices중요
orthogonal complement of예제
Eigenvalue
algebraic multiplicity of참조 Algebraic multiplicity
and diagonalizability중요
and invertibility가역행렬 정리
and stochastic matrices사실
and the characteristic polynomial참조 Characteristic polynomial
complex참조 Complex eigenvalue
definition of정의
eigenvector for정의
geometric multiplicity of참조 Geometric multiplicity
identity matrix예제
maximum number of중요
of a projection matrix명제
of a triangular matrix따름정리
of similar matrices중요
zero사실
Eigenvector
and collinearity문단
and diagonalizability대각화 정리
and stochastic matrices정의
computation중요
trick for 2\times 2 matrices노트
definition of정의
eigenvalue for정의
identity matrix예제
linear independence of사실
of a projection matrix명제
of similar matrices사실
Elimination method소절
Ellipse
area of참조 Volume
best-fit problem예제
Equation of linear dependence참조 Linear independence
Free variable정의
Function참조 Transformation
Fundamental theorem of algebra대수학의 기본 정리
Gaussian elimination참조 Row reduction
Geometric multiplicity
and algebraic multiplicity정리
and diagonalizability정리
definition of정의
of similar matrices정리
Google PageRank
Google Matrix정의
eigenvector of중요
importance matrix정의
eigenvector of중요
importance rule정의
Gram–Schmidt Process정리
detecting linear dependence중요
Homogeneous참조 System of linear equations
Identity matrix
and identity transformation예제
and matrix multiplication노트
and standard coordinate vectors정의
as a function예제
as a matrix transformation예제
definition of정의
determinant of정의
eigenvalues of예제
eigenvectors of예제
similarity문단
Identity transformation
and composition노트
and identity matrix예제
definition of정의
Imaginary number참조 Complex numbers
Imaginary part참조 Complex numbers
Implicit equation소절노트
Inconsistent참조 System of linear equations
Increasing span criterion참조 Linear independence
Inhomogeneous참조 System of linear equations
Invertible matrix
and invertible transformation정리
basic facts사실
computation
2\times 2 case명제
in general정리
using Cramer’ rule정리
definition of정의
inverse of항목
invertible matrix theorem가역행렬 정리
solving linear systems with정리
Invertible matrix theorem가역행렬 정리가역행렬 정리
Invertible transformation
and invertible matrices정리가역행렬 정리
definition of정의
one-to-one and onto명제
Least-squares
and Ax=b_{\Col(A)}중요
computation of
complicated matrix formula정리
Projection Formula중요
row reduction정리중요
definition of정의
picture of문단
uniqueness of정리
Line
dimension-1 solution set중요중요
geometric definition of정의
number line예제
orthogonal projection onto중요예제
parametric form of예제
Linear combination
collinear vectors, picture of예제
definition of정의
single vector, picture of예제
two vectors, picture of예제
Linear dependence참조 Linear independence
Linear dependence relation참조 Linear independence
Linear equation
definition of정의
system of참조 System of linear equations
Linear independence
and determinants따름정리
and invertibility가역행렬 정리
basic facts사실
definition of정의
equation of linear dependence문단
increasing span criterion정리
linear dependence relation문단
of an orthogonal set사실
pictures of소절
verifying중요
with Gram–Schmidt중요
wide matrices중요
Linear transformation
addition of참조 Transformation
and volumes참조 Matrix transformation
are matrix transformations중요
basic facts사실
composition of참조 Transformation
and matrix multiplication정리
linearity of정리
definition of정의
dictionary노트
invertible참조 Invertible transformation
scalar multiplication of참조 Transformation
standard matrix of정리
orthogonal projection문단
verifying nonlinearity예제
when defined by a formula문단
Lower-triangular
see Matrix정의
Matrix
addition of정의
as a function참조 Matrix transformation문단
augmented문단
cofactor of정의
and determinants정리
sign of문단
definition of문단
determinant of참조 Determinant
diagonal entries of정의
inverse of참조 Invertible matrix
invertible참조 Invertible matrix
lower-triangular정의
determinant of명제
eigenvalues of따름정리
minor of정의
multiplication참조 Matrix multiplication
nullity of참조 Nullity
parallelepiped determined by정리
product with vector참조 Matrix-vector product
projection참조 Orthogonal projection, standard matrix of
rank of참조 Rank
rotation-scaling참조 Rotation-scaling matrix
scalar multiplication of정의
similar참조 Similarity
size of중요
stochastic참조 Stochastic matrix
trace of정의
similar matrices문단
transpose of정의
and products사실
determinant of명제
upper-triangular정의
determinant of명제
eigenvalues of따름정리
Matrix equation
always consistent정리
and invertibility가역행렬 정리
definition of정의
equivalence with vector equation노트
solving with the inverse matrix정리
spans and consistency참고
Matrix multiplication
and composition of transformations정리
and the matrix-vector product문단
associativity of노트
caveats중요
definition of정의
determinant of명제
inverse of항목
noncommutativity of예제
order of operations예제
powers문단
and diagonalizability중요
and similarity사실
properties of노트
row-column rule중요
size of matrices중요
Matrix transformation
addition of참조 Transformation
and volumes정리
codomain of중요
composition of참조 Transformation참조 Linear transformation
definition of정의
dictionary노트
domain of중요
invertible참조 Invertible transformation
linearity of문단
of \R^2예제
one-to-one criteria정리
onto criteria정리
range of중요
scalar multiplication of참조 Transformation
tall matrices노트
wide matrices노트
Matrix-vector product
and matrix multiplication문단
definition of정의
row-column rule중요
with standard coordinate vectors사실
Minor참조 Matrix
Multiplicity
algebraic참조 Algebraic multiplicity
geometric참조 Geometric multiplicity
Nontrivial solution참조 System of linear equations
Null space
and invertibility가역행렬 정리
basis of참조 Basis
computing중요
definition of정의
is a solution set예제
is a subspace소절
is the 0-eigenspace사실
of an orthogonal projection명제
orthogonal complement of중요
Nullity정의
rank theorem랭크 정리
One-to-one
and invertibility가역행렬 정리
criteria for matrix transformations정리
definition of정의
equivalent formulations문단
finding two vectors with the same image문단
functions of one variable예제
negation of문단
square matrices노트
versus onto문단
wide matrices노트
Onto
and invertibility가역행렬 정리
criteria for matrix transformations정리
definition of정의
equivalent formulations문단
finding a vector not in the range문단
functions of one variable예제
negation of문단
square matrices노트
tall matrices노트
versus one-to-one문단
Orthogonal complement
basic facts사실
computation of소절
definition of정의
dimension of사실
of a column space명제중요
of a null space중요
of a row space중요
of a span문단중요
of an eigenspace예제
orthogonal complement of사실
pictures of문단
system of linear equations문단
Orthogonal decomposition참조 Orthogonal projection
Orthogonal projection
and \cB-coordinates중요
as a transformation소절
composed with itself명제
computation of
complicated matrix formula따름정리
Projection Formula사영 공식
row reduction정리중요
definition of정의
distance from중요
eigenvectors of예제
existence of정리
is the closest vector중요
linearity of명제
of a vector in W예제
of a vector in W^\perp예제
onto a column space중요
onto a line중요예제
onto the xy-plane예제예제예제
noninvertibility of비예제
properties of명제
range of명제
standard matrix of문단
column space of명제
complicated matrix formula중요
diagonalizability of명제
eigenvalues of명제
eigenvectors of명제
noninvertibility of명제
null space of명제
properties of명제
square of명제
Orthogonal set
and \cB-coordinates중요
and least squares중요
definition of정의
linear independence of사실
making orthonormal중요
necessity of중요
orthonormality of정의
standard coordinate vectors예제
producing from a basis정리
Orthogonality
and the Pythagorean theorem중요
definition of정의
zero vector중요
Orthonormal set참조 Orthogonal set
Parallelepiped
definition of정의
parallelogram예제
area of예제
volume of정리
Parallelogram참조 Parallelepiped
Parameterized equation노트
Parametric form소절중요
Parametric vector form
of a homogeneous equation예제중요
of an inhomogeneous equation문단
particular solution핵심 관찰
Particular solution참조 Parametric vector form
Perron–Frobenius theorem정리
Pivot정의
Pivot position정의
Plane
dimension-2 solution set중요중요
geometric definition of정의
parametric form of예제
xy-plane예제
Point정의
distance between정의
Polynomial
characteristic참조 Characteristic polynomial
conjugate roots참고
cubic예제
factoring by hand문단
quadratic예제
rational roots유리근 정리
Power of a matrix참조 Matrix multiplication
Projection참조 Orthogonal projection
diagonalizability of예제
Projection Formula사영 공식
Projection matrix참조 Orthogonal projection, standard matrix of
QR codes예제
Quadratic formula예제
Range참조 Transformation
Rank정의
rank theorem랭크 정리
row and column소절
Rational Root Theorem유리근 정리
Real n-space정의
as a subspace of itself예제
point of정의
Real numbers \R문단예제
Real part참조 Complex numbers
Reduced row echelon form정의
and invertibility가역행렬 정리
Reflection
eigenspaces of예제
eigenvectors of예제
in general참고
over the y-axis예제예제
inverse of예제예제
Rotation
composition of예제
counterclockwise by 45^\circ예제예제
counterclockwise by 90^\circ예제예제
counterclockwise by \theta예제
eigenvectors of예제
non-diagonalizability of예제
Rotation-scaling matrix
and complex eigenvalues회전-확대 정리
computing the angle중요
definition of정의
structure of명제
Rotation-Scaling Theorem회전-확대 정리
Row echelon form정의
Row equivalence정의
Row operations문단
and determinants정의
replacement항목
scaling항목
swap항목
Row rank참조 Rank
Row reduction
algorithm알고리즘
computing determinants계산 절차
picture of문단
Row replacement참조 Row operations, replacement
Row space
definition of정의
is column space of transpose문단
orthogonal complement of중요
Row vector참조 Vector
Scale참조 Dilation참조 Row operations, scaling
Set builder notation노트
Shear
eigenvectors of예제
in the x-direction예제예제
multiplicities예제
non-diagonalizability of예제
Similarity
action on a vector중요
and eigenspaces중요
and eigenvalues중요
and eigenvectors사실
and multiplicities정리
and powers사실
and the characteristic polynomial사실
and the determinant문단
and the trace문단
definition of정의
equivalence relation명제
geometry of소절
identity matrix문단
of 2\times 2 matrices참고
of diagonal matrices예제
of diagonalizable matrices중요
to a diagonal matrix참조 Diagonalizability
worked example예제
Solution참조 System of linear equations
Solution set
definition of정의
of a homogeneous system is a null space예제
of a homogeneous system is a span중요
picture of소절
size of소절
translate of a span핵심 관찰
versus the column space소절
Space
color space예제
dimension-3 solution set중요중요
Span
basis of참조 Basis
definition of정의
is a subspace정리
orthogonal complement of문단중요
pictures of문단
Standard coordinate vectors
and matrix columns사실
are unit vectors문단
columns of the identity matrix정의
definition of표기법
orthonormality of예제
picture of문단
Standard matrix참조 Linear transformation
Steady state참조 Stochastic matrix
Stochastic matrix
definition of정의
eigenvalues of사실
long-term behavior of정리
picture of그림그림
steady state of정의
computing중요중요
sum of entries of vector중요
Subset
definition of정의
set builder notation노트
versus subspace중요
Subspace
and spans정리
definition of정의
is a span정리
orthogonal complement of참조 Orthogonal complement
real n-space예제
versus subset중요
writing as column or null space문단
zero예제
Superposition principle문단
System of linear equations
consistent정의
picture of노트
span criterion노트참고
definition of문단
four ways of writing노트
homogeneous정의
trivial solution중요
inconsistent정의
picture of그림
RREF criterion정리
inhomogeneous정의
nontrivial solution중요
and free variables관찰
and invertibility가역행렬 정리
finding중요
number of solutions of소절
parametric form of참조 Parametric form
parametric vector form of참조 Parametric vector form
particular solution of참조 Parametric vector form
solution of정의
solving with the inverse matrix정리
trivial solution중요
and invertibility가역행렬 정리
Tall matrix참조 Matrix transformation
Trace참조 Matrix
Transformation
addition of정의
as a machine문단
associated to a matrix참조 Matrix transformation
codomain of정의
composition of정의
noncommutativity of중요
order of operations예제
definition of정의
domain of정의
identity참조 Identity transformation
invertible참조 Invertible transformation
linear참조 Linear transformation
of one variable예제
of several variables예제
one-to-one참조 One-to-one
onto참조 Onto
range of정의
scalar multiplication of정의
Transpose참조 Matrix
Triangle
area of참조 Volume
Trivial solution참조 System of linear equations
Unit cube예제
Unit vector
and orthonormality정의
definition of정의
in the direction of a vector사실
standard coordinate vectors문단
Upper-triangular
see Matrix정의
Vector
addition항목
parallelogram law문단
angle between참고
definition of정의
distance between정의
length of사실
linear combination of참조 Linear combination
orthogonal참조 Orthogonality
product with matrix참조 Matrix-vector product
real and imaginary parts of문단
row vector정의
product with column vector정의
scalar multiplication항목
picture of문단
subtraction
picture of문단
unit vector참조 Unit vector
unit vector in the direction of사실
Vector equation
consistent참조 System of linear equations, consistent
definition of정의
equivalence with matrix equation노트
equivalence with system of equations문단
inconsistent참조 System of linear equations, inconsistent
solving중요
Volume
and length예제
of a parallelepiped정리
of a region정리
of a triangle예제
of an ellipse예제
signed참고
Wide matrix참조 Matrix transformation참조 Linear independence