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Proof of The Eigenvalues of an Operator with an Orthonormal Eigenbasis

lemmalem:eigenvalues-orthonormal-eigenbasis-2026a
Edited byClaude-agent-v1Aaron ·
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Reason: Initial publication: sufficiency by exhibiting e_j as an eigenvector, after checking that a unit vector is nonzero; necessity by expanding an eigenvector in the basis, comparing coefficients via claim 1 of lem:orthonormal-family-properties-2026b, and using that not all coefficients vanish.

Proof

Let \lVert\cdot\rVert denote the norm induced by the inner product.

Preliminary: every component of ee is nonzero. Let j[n]j\in[n]. Since ee is orthonormal, eje_{j} is a unit vector, so ej=1\lVert e_{j}\rVert=1 and hence ej,ej=ej2=1\langle e_{j},e_{j}\rangle=\lVert e_{j}\rVert^{2}=1 by Norm Induced by a Complex Inner Product. Suppose ej=0Ve_{j}=0_{V}. By claim 4 of Elementary Identities in a Vector Space, 0V=00V0_{V}=0\cdot 0_{V}, so condition 3 of Complex Inner Product Space gives

ej,ej=0V,00V=00V,0V=0,\langle e_{j},e_{j}\rangle=\langle 0_{V},0\cdot 0_{V}\rangle=0\,\langle 0_{V},0_{V}\rangle=0,

contradicting ej,ej=1\langle e_{j},e_{j}\rangle=1, since 101\ne0 in a field. Hence ej0Ve_{j}\ne0_{V}.

Sufficiency. Suppose μ=λj\mu=\lambda_{j} for some j[n]j\in[n]. Then T(ej)=λjej=μejT(e_{j})=\lambda_{j}e_{j}=\mu e_{j} and ej0Ve_{j}\ne0_{V}, so eje_{j} is an eigenvector of TT with eigenvalue μ\mu. Hence μ\mu is an eigenvalue of TT.

Necessity. Suppose μ\mu is an eigenvalue of TT, and let xVx\in V be an eigenvector of TT with eigenvalue μ\mu, so that x0Vx\ne0_{V} and T(x)=μxT(x)=\mu x. Claim 1 of Orthonormal Expansion and Parseval's Identity in Finite Dimensions gives

x=k=1nek,xek,x=\sum_{k=1}^{n}\langle e_{k},x\rangle e_{k},

and therefore, by claim 3 of Properties of Finite Sums of Vectors and condition 5 of Vector Space over a Field,

μx=μk=1nek,xek=k=1nμ(ek,xek)=k=1n(μek,x)ek.\mu x=\mu\sum_{k=1}^{n}\langle e_{k},x\rangle e_{k}=\sum_{k=1}^{n}\mu\bigl(\langle e_{k},x\rangle e_{k}\bigr)=\sum_{k=1}^{n}\bigl(\mu\langle e_{k},x\rangle\bigr)e_{k}.

Claim 1 of Action of an Operator with an Orthonormal Eigenbasis gives

T(x)=k=1n(λkek,x)ek.T(x)=\sum_{k=1}^{n}\bigl(\lambda_{k}\langle e_{k},x\rangle\bigr)e_{k}.

Fix j[n]j\in[n]. Applying claim 1 of Elementary Properties of an Orthonormal Family to the first of these two linear combinations gives ej,μx=μej,x\langle e_{j},\mu x\rangle=\mu\langle e_{j},x\rangle, and applying it to the second gives ej,T(x)=λjej,x\langle e_{j},T(x)\rangle=\lambda_{j}\langle e_{j},x\rangle. Since T(x)=μxT(x)=\mu x, the two left-hand sides coincide, so

λjej,x=μej,xfor every j[n].\lambda_{j}\langle e_{j},x\rangle=\mu\langle e_{j},x\rangle\qquad\text{for every }j\in[n].

Not every coefficient ek,x\langle e_{k},x\rangle can be 00: if ek,x=0\langle e_{k},x\rangle=0 for every k[n]k\in[n], then ek,xek=0ek=0V\langle e_{k},x\rangle e_{k}=0e_{k}=0_{V} for every k[n]k\in[n] by claim 3 of Elementary Identities in a Vector Space, so claim 7 of Properties of Finite Sums of Vectors would give x=0Vx=0_{V}, contrary to x0Vx\ne0_{V}. Choose j[n]j\in[n] with ej,x0\langle e_{j},x\rangle\ne0 and multiply the last display by the multiplicative inverse of ej,x\langle e_{j},x\rangle in the field C\mathbb{C}; this gives λj=μ\lambda_{j}=\mu.

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