一些簡(jiǎn)單的(半)正定問(wèn)題
例1.已知是
級(jí)正定矩陣善玫,則
(1)
(2)
(3)的所有元素中,絕對(duì)值最大元素一定在對(duì)角線上,從而也一定是正數(shù)
提示:取特殊的代入
例2.已知是兩兩互異的正數(shù),則
是正定矩陣
提示:計(jì)算行列式結(jié)果為
正定與半正定的
定理:(極其重要)設(shè)
是一個(gè)
實(shí)矩陣怀樟,則r(A'A)=r(A)
例題1.證明:對(duì)實(shí)數(shù)域上的任意實(shí)矩陣
都有
提示:
定理:(非常重要)
是任一
的實(shí)矩陣,則
是半正定矩陣坡倔,并且
是正定矩陣的充要條件是
列滿(mǎn)秩漂佩。
命題:半正定手法:已知
是
級(jí)半正定矩陣脖含,
是一個(gè)
級(jí)實(shí)列向量罪塔,且
則
例題2.已知是一個(gè)
級(jí)非對(duì)稱(chēng)的實(shí)矩陣,對(duì)任意的
維實(shí)列向量
都有
养葵,且存在實(shí)向量
使得
征堪,同時(shí)對(duì)任意的
維實(shí)列向量
當(dāng)
時(shí),有
关拒,證明對(duì)任意的
維實(shí)列向量
都有
切換輸入中文和英文公式有點(diǎn)麻煩佃蚜,往后都采用英文進(jìn)行筆記書(shū)寫(xiě),英文書(shū)寫(xiě)不規(guī)范的地方希望各位指出着绊,本人不勝感謝谐算。
It's a disdressing thing to exchange the input way of English and Chinese,I will take notes in English in the future.Please point out the not standardized translation,and I will be thankful for that.
example3.ifand
are real symmetric matrices of n-order,marked
,then
(1)if both are semi positive definite,then
is semi positive definite too.
(2)ifare positive definite,then
is positive definite too.
Tips: supposeand
,then
talking about
Applied of Orthogonal similarity and the orthogonal diagonalization of real symmetric matrices.
Theorem:All of the real symmetric matrices of n-order
are orthogonal similarity to a diagonal matrix.
Example1.ifis a real square of n-order,and the characteristic values are real,proof
is a symmetric matrix if and only if
.
Tips: :inductive method.
Example 2.
(1)is a real square of n-order,satisfied
,proof:
is a symmetric square.
(2)is a real square of n-order,satisfied
,proof:
is a symmetric square.
(3)is a real square of n-order,satisfied
,proof:
is a antisymmetric square
Example 3.Proof:real matrix of n-order is orthogonal similar to a upper triangular matrix if and only if the characteristic value of
are real
Example 4.Proof:All the complex matrix of n-order are similar to a upper triangular matrix.
Example 5.supposeare respectively
and
real matrix,and
are symmetric,we know
Proof:rank of
are 2,calculate
.
Tips:
1.use the special value have a intuititive impress
2.
3.equivalent stantard type
Proof and application of quadratic inertia theorem.
(Quadratic inertia theorem)All of the quadratic which define on the real domain,can become a canonical shape after sevral non-degenerate linear replacements.And the canonical shape is unique.(The process of proof is classical)
Example.if the quadratic of n variables,and
is reversible,when
,
,which
,proof the quadratic
symbol difference
satisfied
Turn the matrix into a cannonical type or a standard type.
Example1.suppose real symmetric matrix,sort all the characteristics values of it by size:
proof:for any n dimensional vector
,have
Example2.suppose is a real matrix of n-order,all the characteristcs values of
are sorted by size
,proof:any real characteristics value of
marked
satisified
A special quadratic
Proposition:if
is a real matrix,then the n-variables quadratic
corresponding to the matrix
.
Example.ifare real numbers,proof:n-variables quadratic
is a positive definite quadratic if and only if
The condition of matrix diagonalizition
Example 1.we knoware positive real numbers,and
,if
,which
please calculate the rank of
,and judge whether
can be turn into a diagonalizition type,if can be diagonalizition,please write down the similar diagonalizition matrix of
.
Some conclusions
1.if all of the characteristics value of a matrix is 0,then this matrix is power zero.
2.A matrixonly have these characteristics values:0 and 1,we can't get the conclusion that
is idempotent,but if this matrix is symmetric归露,we can get this conclusion.
3.if a real symmetry matrix only have these characteristics which values are ,then
is symmetry and orthogonal.
Example 2.Please calculate the determinant
Tips: is similar to
Idempoten matrix
Some character:
1.
2.is idempoten matrix,it can be turned into a diagonalization matrix.
3.ifis a idempoten,then
Proposition
ifare square matrix of n-order,satisfied
then,these three thing are equivalance:
(1)are all odempoten.
(2)
(3)we have
Antisymmetric matrix
Proposition
supposeis a antisymmetric matrix,then
is contract to a quasi-diagonal matrix
Smith orthogonalization
Theorem Any real reversible matrix can be decomposed into a orthogonal matrix and a upper triangular matrix whose element of digonal are positive number,and it has a unique decompose.
A general problem of similarity and contract
Example 1.ifis a positive definite matrix of n-order,
is a antisymmetry matrix,then
Example 2.We know that are all real antisymmetry matrix,and
is reversible,proof
Tips: the antisymmetry matrix's characteristc values only can be 0 or a pure imaginary number.If a antisymmetry matrix is reversible then the
must be a negative definite matrix,and the order of
only can be even.
Important Proposition
We know thatis a positive definite matrix of n-order,and
is a semi-positive matrix of n-order,then
,and the eual sign only established when
Proposition 2
are respectively
,
real matrix,
is a
real matrix,and
is a positive definite matrix.then
(1)are positive definite matrix.
(2),and the equals only established when
Inference:
Example 1.supposeare respectively
and
real row full rank matrix,marked
,proof:
(1)is semi-definite matrix.
(2)
Proposition 3
Supposeis a positive definite n-order matrix,
is a real symmetry matrix of n-order,then exists reversible matrix
such that
and
is a diagonal matrix.
Example 2.we know thatis a positive definite matrix of n-order,
is a
column vector,proof:
Tips: use the proposition 3.
Example 3.Supposeis a reversible real symmetry matrix of n-order,then
is positive definite
n-order positive definite matrix
,have
Tips: if ,let
Matrix equation
Example 1.supposeare resectively n-order and m-order square on number of fields
,proof:if both
and
has
common charateristc values which are not equal to any two of them,then the matrix equation
has a matrix solution whose rank is
.
Tips: ifand
,let
Example 2.supposeare respectively n-order and m-order matrix on the complex fields,proof:if the matrix equation
has a matrix solution whose rank is
,then
at least has
common characteristics values(repeat roots are calculated as repeat count)
Tips we can write
Example 3.Supposeare n-order matrix,the characteristic polynomial of
is
,proof:
is reversible
don't have common characteristic values
Tips: contrary:suppose
exists a common characteristc value
,then
,and
is the characteristic value of
,then we know
is not reversible,we get a contradiction.
Matrix decomposition
Proposition1
is a n-order positive definite matrix,then
(1)exists a real reversible matrixsuch that
(2)exists a real symmetry matrixsuch that
(3)exists a positive definite matrixsuch that
,here
is unique
Tips: is unique:we can write down
,and exists
such that
Proposition 2
are two n-order matrix on real fields,and
is a semi-definite matrix,
is a positive integer,satisfied
,then
Example 1.is a real symmetry matrix of n-order.proof:exists a real symmetry matrix
such that
if and only if
is a semi-definite matrix.
Example 2.for any real reversible matrix,there must exists a orthogonal matrix
and two positive definite matrix
,such that
,and these two decomposition are unique.
Tips: let
,obviously
then,
is orthogonal,and using the knowledge of last example,we know
is positive definite,in this way,
let
then
unique:suppose exists differentand
such that
then
we use the proposition 1 know that
is unique
Example 3.proof:for any reversible matrixof n-order,there exists orthogonal matrix
such that
,which
are all the characteristic values of
,and