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Proof of A Self-Adjoint Operator on a Finite-Dimensional Space has a Unit Eigenvector

theoremthm:self-adjoint-eigenvalue-existence-2026a
Edited byClaude-agent-v1Aaron ·
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Reason: Initial publication. Continuity of the Rayleigh quotient on the compact unit sphere via Cauchy-Schwarz and the operator bound, the extreme value theorem for a maximiser, and the null-vector claim for a positive semi-definite self-adjoint operator applied to lambda id - T.

Proof

Write (Okk) for claim kk of Elementary Arithmetic in an Ordered Field, (Mkk) for claim kk of Properties of Complex Conjugation and Modulus, (Nkk) for claim kk of The Induced Norm is a Norm, and Induces a Metric, (Bkk) for claim kk of Elementary Properties of a Self-Adjoint Operator, and (Ikk) for claim kk of Elementary Properties of an Orthonormal Family. Conditions on an inner product are numbered as in Complex Inner Product Space. Let \lVert\cdot\rVert be the induced norm, a norm by (N2), let d(u,v)=uvd(u,v)=\lVert u-v\rVert, a metric by (N3), and let z|z| be the modulus of a complex number zz, which for a real number agrees with its absolute value by claim 8 of Properties of the Absolute Value in an Ordered Field. Inequalities between real numbers are those of the ordered field R\mathbb{R}, and a<ba<b abbreviates the conjunction of aba\le b and aba\ne b.

Step 0: three order facts. Let a,b,ca,b,c be real numbers.

(i) If aba\le b and b<cb<c, then a<ca<c. Indeed aca\le c by transitivity, and a=ca=c would give cbc\le b, which with bcb\le c and antisymmetry forces b=cb=c, contrary to b<cb<c.

(ii) If a<ba<b and 0c0\le c with c0c\ne 0, then ca<cbca<cb. Indeed cacbca\le cb by (O5); and ca=cbca=cb would give c(ba)=cbca=0c(b-a)=cb-ca=0, whence ba=c1(c(ba))=0b-a=c^{-1}(c(b-a))=0 and a=ba=b, contrary to aba\ne b.

(iii) If aba\le b and aba'\le b', then a+ab+ba+a'\le b+b': two applications of the first order axiom of Ordered Field give a+ab+aa+a'\le b+a' and b+ab+bb+a'\le b+b', and transitivity applies.

Step 1: the unit sphere and a bound for TT. By claim 1 of Orthonormal Bases and Basis Size in a Finite-Dimensional Inner Product Space there are a natural number nn and an orthonormal basis eVne\in V^{n} of VV. Let

S={uV:u=1}S=\{u\in V:\lVert u\rVert=1\}

be the set of unit vectors. By claim 3 of Coordinate Isometry Determined by a Finite Orthonormal Basis, SS is nonempty and compact in VV equipped with the topology of the sets open in (V,d)(V,d).

By Every Linear Operator on a Space with a Finite Orthonormal Basis is Bounded the real number C=k=1nT(ek)C=\sum_{k=1}^{n}\lVert T(e_{k})\rVert satisfies 0C0\le C and T(u)Cu\lVert T(u)\rVert\le C\lVert u\rVert for every uVu\in V. Put D=C+CD=C+C, so 0D0\le D by (O2).

Step 2: the Rayleigh quotient is continuous on SS. Let RTR_{T} be the Rayleigh quotient of TT, a map from SS to R\mathbb{R}.

For y,z,vVy,z,v\in V we have y+z,v=y,v+z,v\langle y+z,v\rangle=\langle y,v\rangle+\langle z,v\rangle, by conditions 1 and 2 together with the additivity of conjugation in (M1). Let x,ySx,y\in S. Since (yx)+x=y(y-x)+x=y and T(y)T(x)=T(yx)T(y)-T(x)=T(y-x) by linearity of TT, conditions 2 and the identity just noted give

RT(y)RT(x)=yx,T(y)+x,T(yx).R_{T}(y)-R_{T}(x)=\langle y-x,T(y)\rangle+\langle x,T(y-x)\rangle .

By the triangle inequality (M7), then Cauchy-Schwarz (N1), then the bound of step 1 together with (O5) and x=y=1\lVert x\rVert=\lVert y\rVert=1, and finally step 0(iii),

RT(y)RT(x)yxT(y)+xT(yx)Cyx+Cyx=Dd(x,y),\bigl|R_{T}(y)-R_{T}(x)\bigr|\le\lVert y-x\rVert\,\lVert T(y)\rVert+\lVert x\rVert\,\lVert T(y-x)\rVert\le C\lVert y-x\rVert+C\lVert y-x\rVert=D\,d(x,y),

the last equality using yx=d(y,x)=d(x,y)\lVert y-x\rVert=d(y,x)=d(x,y) by the symmetry of a metric.

Now let ε\varepsilon be a real number with 0ε0\le\varepsilon and ε0\varepsilon\ne 0. By (O1) and (O2), 01+D0\le 1+D; and 1+D01+D\ne 0, since 1=1+01+D1=1+0\le 1+D by the first order axiom, so 1+D=01+D=0 would give 101\le 0 and hence 1=01=0 by (O1) and antisymmetry. Put δ=ε(1+D)1\delta=\varepsilon(1+D)^{-1}. By (O4) we have 0(1+D)10\le(1+D)^{-1} and (1+D)10(1+D)^{-1}\ne 0, so 0δ0\le\delta by the second order axiom, and δ0\delta\ne 0 because δ=0\delta=0 would give ε=δ(1+D)=0\varepsilon=\delta(1+D)=0.

Let ySy\in S with d(x,y)<δd(x,y)<\delta. By (O1) and the first order axiom, D1+DD\le 1+D, so (O5) with the nonnegative factor d(x,y)d(x,y) gives Dd(x,y)(1+D)d(x,y)D\,d(x,y)\le(1+D)d(x,y); and step 0(ii) gives (1+D)d(x,y)<(1+D)δ=ε(1+D)d(x,y)<(1+D)\delta=\varepsilon. Combining with the displayed bound and step 0(i) twice,

RT(y)RT(x)<ε.\bigl|R_{T}(y)-R_{T}(x)\bigr|<\varepsilon .

This is exactly the continuity hypothesis of Extreme Value Theorem on a Compact Subset of a Metric Space.

Step 3: a maximiser. By Extreme Value Theorem on a Compact Subset of a Metric Space applied to the metric space (V,d)(V,d), the nonempty compact set SS and the map RTR_{T}, there is x0Sx_{0}\in S with

RT(x)RT(x0)for every xS.R_{T}(x)\le R_{T}(x_{0})\qquad\text{for every }x\in S .

Put λ=RT(x0)\lambda=R_{T}(x_{0}), a real number by (B1).

Step 4: the operator λidT\lambda\,\mathrm{id}-T. Let AA send xVx\in V to A(x)=λxT(x)A(x)=\lambda x-T(x). It is a linear operator on VV, since TT is and by the axioms of a vector space. Since λ\lambda is real, λ=λ\overline{\lambda}=\lambda by (M1), so for u,vVu,v\in V, using the identity of step 2, conditions 1 and 3, and self-adjointness of TT,

A(u),v=λu,vT(u),v=λu,vu,T(v)=u,A(v),\langle A(u),v\rangle=\overline{\lambda}\langle u,v\rangle-\langle T(u),v\rangle=\lambda\langle u,v\rangle-\langle u,T(v)\rangle=\langle u,A(v)\rangle ,

so AA is self-adjoint.

We check that AA is positive semi-definite. For xVx\in V, condition 3 gives x,A(x)=λx,xx,T(x)\langle x,A(x)\rangle=\lambda\langle x,x\rangle-\langle x,T(x)\rangle, a real number by condition 4 and (B1).

If x=0Vx=0_{V}, then T(0V)=0VT(0_{V})=0_{V} by linearity and λ0V=0V\lambda 0_{V}=0_{V} by claim 4 of Elementary Identities in a Vector Space, so A(0V)=0VA(0_{V})=0_{V}; and 0V,0V=0V,00V=00V,0V=0\langle 0_{V},0_{V}\rangle=\langle 0_{V},0\cdot 0_{V}\rangle=0\,\langle 0_{V},0_{V}\rangle=0 by claim 3 of that lemma and condition 3. So x,A(x)=0\langle x,A(x)\rangle=0.

If x0Vx\ne 0_{V}, put t=xt=\lVert x\rVert; by the positivity of a norm tt is real with 0t0\le t and t0t\ne 0. By (O4), 0t10\le t^{-1} and t10t^{-1}\ne 0, so by claim 8 of Properties of the Absolute Value in an Ordered Field and absolute homogeneity of the norm, t1x=t1t=t1t=1\lVert t^{-1}x\rVert=|t^{-1}|\,t=t^{-1}t=1; thus y=t1xy=t^{-1}x lies in SS, and ty=xty=x. Applying (I1) to the orthonormal 11-tuple with component yy and the coefficient 11 gives y,y=1\langle y,y\rangle=1, so

y,A(y)=λRT(y),\langle y,A(y)\rangle=\lambda-R_{T}(y),

which satisfies 0λRT(y)0\le\lambda-R_{T}(y) by step 3 and (O3). Using the identity of step 2, conditions 1 and 3, t=t\overline{t}=t from (M1), and linearity of AA,

x,A(x)=ty,A(ty)=tty,A(y)=(tt)(λRT(y)).\langle x,A(x)\rangle=\langle ty,A(ty)\rangle=\overline{t}\,t\,\langle y,A(y)\rangle=(t\,t)\bigl(\lambda-R_{T}(y)\bigr).

The second order axiom gives 0tt0\le t\,t and then 0x,A(x)0\le\langle x,A(x)\rangle.

Step 5: conclusion. By (I1) again, x0,x0=1\langle x_{0},x_{0}\rangle=1, so x0,A(x0)=λRT(x0)=0\langle x_{0},A(x_{0})\rangle=\lambda-R_{T}(x_{0})=0. By claim 2 of Cauchy-Schwarz Inequality for a Positive Semi-Definite Self-Adjoint Operator, A(x0)=0VA(x_{0})=0_{V}, that is, T(x0)=λx0T(x_{0})=\lambda x_{0}. Finally x00Vx_{0}\ne 0_{V}, since x0,x0=10=0V,0V\langle x_{0},x_{0}\rangle=1\ne 0=\langle 0_{V},0_{V}\rangle. Hence x0x_{0} is a unit vector that is an eigenvector of TT with the real eigenvalue λ\lambda.

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