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Proof of Ishii's Lemma: Test Data and Matrix Bounds at a Maximum of a Quadratically Penalised Difference

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· 9,376 chars · 22 deps · depth 22 Reason: Proof of Ishii's lemma: the theorem on sums applied to u and -v on the product of two copies of Omega, with the quadratic test function determined by the doubling matrix and epsilon = 1/alpha, followed by the sign-reversal lemma.

Applies the theorem on sums to uu and v-v on the product of two copies of Ω\Omega, with the quadratic test function determined by the doubling matrix and with ε=α1\varepsilon=\alpha^{-1}; the arithmetic of the doubling matrix turns the resulting bound into 3αIX(Y)3αJ-3\alpha I\preceq X\oplus(-Y)\preceq3\alpha J, and the sign-reversal lemma converts test data from above for v-v into test data from below for vv.

Proof

Throughout, nn, Ω\Omega, uu, vv, α\alpha, x^\hat{x}, y^\hat{y}, δ\delta and pp are as in the statement. Put z^=ι(x^,y^)\hat{z}=\iota(\hat{x},\hat{y}) and

Ω={ι(ξ,η) : ξΩ, ηΩ}R2n,\Omega^{\ast}=\{\,\iota(\xi,\eta)\ :\ \xi\in\Omega,\ \eta\in\Omega\,\}\subseteq\mathbb{R}^{2n},

which is open by Twice Differentiability of a Sum in Separated Variables §open.

Conventions. We use without further comment that \le on R\mathbb{R} is transitive and compatible with addition, by the ordered field axioms and Total Order on a Set, and the weak compatibility with multiplication: if 0b0\le b and sts\le t, then sbtbsb\le tb; this is immediate when b=0b=0 or s=ts=t, and otherwise follows from claim 10 of Elementary Order Arithmetic in an Ordered Field. Recall from Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation §ordering that PQP\preceq Q means w(Pw)w(Qw)w\cdot(Pw)\le w\cdot(Qw) for every ww, and that \preceq is transitive.

Step 1 (The doubled data). Let v:ΩR-v:\Omega\to\mathbb{R} be the function whose value at ηΩ\eta\in\Omega is v(η)-v(\eta); it is upper semicontinuous on Ω\Omega by claim 1 of Negation, Restriction, and Separated Differences of Semicontinuous Functions, applied at every point of Ω\Omega. Let w:ΩRw:\Omega^{\ast}\to\mathbb{R} be the function determined by

w(ι(ξ,η))=u(ξ)+(v)(η)(ξ,ηΩ),w\bigl(\iota(\xi,\eta)\bigr)=u(\xi)+(-v)(\eta)\qquad(\xi,\eta\in\Omega),

which is well defined because ι\iota is injective.

By The Doubling Matrix and its Elementary Properties §scaled the matrix αJ\alpha J lies in S(2n)\mathcal{S}(2n), so claim 1 of Quadratic and Affine Functions of Class C2C^2, Translation, and Quadratic Perturbation of Semiconvexity, applied with M=αJM=\alpha J, q=0R2nq=0_{\mathbb{R}^{2n}} and c=0c=0, shows that the function Q:R2nRQ:\mathbb{R}^{2n}\to\mathbb{R} given by Q(z)=12z((αJ)z)Q(z)=\tfrac{1}{2}\,z\cdot\bigl((\alpha J)z\bigr) is of class C2C^{2} on R2n\mathbb{R}^{2n}, with

DQ(z)=(αJ)z,D2Q(z)=αJfor every zR2n.DQ(z)=(\alpha J)z,\qquad D^{2}Q(z)=\alpha J\qquad\text{for every }z\in\mathbb{R}^{2n}.

Moreover, for ξ,ηRn\xi,\eta\in\mathbb{R}^{n}, claim 1 of Linearity of the Matrix-Vector Product and the Quadratic Form as a Double Sum, claim 5 of Bilinearity and Symmetry of the Dot Product on Rn\mathbb{R}^n and The Doubling Matrix and its Elementary Properties §quadratic-form give

Q(ι(ξ,η))=12α(ι(ξ,η)(Jι(ξ,η)))=α2ξη2.Q\bigl(\iota(\xi,\eta)\bigr)=\tfrac{1}{2}\,\alpha\,\Bigl(\iota(\xi,\eta)\cdot\bigl(J\,\iota(\xi,\eta)\bigr)\Bigr)=\tfrac{\alpha}{2}\lVert\xi-\eta\rVert^{2}.

Step 2 (A local maximum of wQw-Q). Let zΩz\in\Omega^{\ast} satisfy dE(z,z^)<δd_{E}(z,\hat{z})<\delta, and let (x,y)(x,y) be the unique pair with z=ι(x,y)z=\iota(x,y), so that x,yΩx,y\in\Omega. By claim 4 of Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space we have d×((x,y),(x^,y^))dE(z,z^)d_{\times}\bigl((x,y),(\hat{x},\hat{y})\bigr)\le d_{E}(z,\hat{z}), where d×d_{\times} is the product metric obtained from dEd_{E} and dEd_{E}, and by claim 2 of The Product Metric is a Metric both dE(x,x^)d_{E}(x,\hat{x}) and dE(y,y^)d_{E}(y,\hat{y}) are at most d×((x,y),(x^,y^))d_{\times}\bigl((x,y),(\hat{x},\hat{y})\bigr). Hence dE(x,x^)<δd_{E}(x,\hat{x})<\delta and dE(y,y^)<δd_{E}(y,\hat{y})<\delta by claim 2 of Elementary Order Arithmetic in an Ordered Field, so the hypothesis of the statement applies to the pair xx, yy and, by Step 1,

(wQ)(z)=u(x)v(y)α2xy2  u(x^)v(y^)α2x^y^2=(wQ)(z^).(w-Q)(z)=u(x)-v(y)-\tfrac{\alpha}{2}\lVert x-y\rVert^{2}\ \le\ u(\hat{x})-v(\hat{y})-\tfrac{\alpha}{2}\lVert\hat{x}-\hat{y}\rVert^{2}=(w-Q)(\hat{z}).

Thus wQw-Q has a local maximum at z^\hat{z} relative to Ω\Omega^{\ast}.

Step 3 (The theorem on sums). Since α\alpha is positive, α1\alpha^{-1} exists and is positive by claim 7 of Elementary Order Arithmetic in an Ordered Field, and (α1)1=α(\alpha^{-1})^{-1}=\alpha. We apply Theorem on Sums for Two Upper Semicontinuous Functions with n1=n2=nn_{1}=n_{2}=n, Ω1=Ω2=Ω\Omega_{1}=\Omega_{2}=\Omega, u1=uu_{1}=u, u2=vu_{2}=-v, V=R2nV=\mathbb{R}^{2n}, the test function QQ, the point z^\hat{z} of Step 2 and ε=α1\varepsilon=\alpha^{-1}. Here A=D2Q(z^)=αJA=D^{2}Q(\hat{z})=\alpha J, and the unique pair (p1,p2)(p_{1},p_{2}) with ι(p1,p2)=DQ(z^)\iota(p_{1},p_{2})=DQ(\hat{z}) is (p,p)(p,-p): indeed, by claim 1 of Linearity of the Matrix-Vector Product and the Quadratic Form as a Double Sum, The Doubling Matrix and its Elementary Properties §action and claim 2 of Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space,

DQ(z^)=(αJ)z^=α(Jι(x^,y^))=αι(x^y^,y^x^)=ι(α(x^y^), α(y^x^)),DQ(\hat{z})=(\alpha J)\hat{z}=\alpha\bigl(J\,\iota(\hat{x},\hat{y})\bigr)=\alpha\,\iota(\hat{x}-\hat{y},\hat{y}-\hat{x})=\iota\bigl(\alpha(\hat{x}-\hat{y}),\ \alpha(\hat{y}-\hat{x})\bigr),

and α(y^x^)=α((1)(x^y^))=(1)(α(x^y^))=p\alpha(\hat{y}-\hat{x})=\alpha\bigl((-1)(\hat{x}-\hat{y})\bigr)=(-1)\bigl(\alpha(\hat{x}-\hat{y})\bigr)=-p in the real vector space Rn\mathbb{R}^{n} of Euclidean Space Rn\mathbb{R}^n is a Real Vector Space.

We obtain X1,X2S(n)X_{1},X_{2}\in\mathcal{S}(n) such that the quadruple (x^,u(x^),p,X1)\bigl(\hat{x},u(\hat{x}),p,X_{1}\bigr) is approximable by test data from above for uu and the quadruple (y^,(v)(y^),p,X2)\bigl(\hat{y},(-v)(\hat{y}),-p,X_{2}\bigr) is approximable by test data from above for v-v, the open set being Ω\Omega in both cases, and such that

(α+αJ)I2n  X1X2  αJ+α1(αJ)2.-\bigl(\alpha+\lVert\alpha J\rVert\bigr)I_{2n}\ \preceq\ X_{1}\oplus X_{2}\ \preceq\ \alpha J+\alpha^{-1}(\alpha J)^{2}.

Put X=X1X=X_{1} and Y=X2Y=-X_{2}, both elements of S(n)\mathcal{S}(n) by Second-Order Equations on Euclidean Open Sets §matrices. Since the scalar multiple of a matrix is formed entrywise and two real matrices of the same size are equal exactly when all their entries agree, as recorded in Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation §matrices, we have Y=(X2)=X2-Y=-(-X_{2})=X_{2} and hence X(Y)=X1X2X\oplus(-Y)=X_{1}\oplus X_{2}.

Step 4 (Claim 1). The first assertion of claim 1 is the statement about X1=XX_{1}=X obtained in Step 3. For the second, apply claim 2 of Approximability by Test Data Under Negation with vv in place of uu, the point y^\hat{y}, the vector pp and the matrix YY: it asserts that (y^,v(y^),p,Y)\bigl(\hat{y},v(\hat{y}),p,Y\bigr) is approximable by test data from below for vv if and only if (y^,(v)(y^),p,Y)\bigl(\hat{y},(-v)(\hat{y}),-p,-Y\bigr) is approximable by test data from above for v-v. As Y=X2-Y=X_{2}, the latter is exactly what Step 3 provides, so the former holds.

Step 5 (Claim 2). By The Doubling Matrix and its Elementary Properties §scaled we have αJ+α1(αJ)2=3αJ\alpha J+\alpha^{-1}(\alpha J)^{2}=3\alpha J, so the upper bound of Step 3 is the upper bound of claim 2.

For the lower bound, The Doubling Matrix and its Elementary Properties §scaled gives αJ2α\lVert\alpha J\rVert\le 2\alpha, whence α+αJα+2α=3α\alpha+\lVert\alpha J\rVert\le\alpha+2\alpha=3\alpha. Let zR2nz\in\mathbb{R}^{2n}. By Vector, Entry and Comparison Bounds for the Norm of a Symmetric Real Matrix §identity,

z((3αI2n)z)=3αz2,z(((α+αJ)I2n)z)=(α+αJ)z2.z\cdot\bigl((-3\alpha I_{2n})z\bigr)=-3\alpha\lVert z\rVert^{2},\qquad z\cdot\Bigl(\bigl(-(\alpha+\lVert\alpha J\rVert)I_{2n}\bigr)z\Bigr)=-\bigl(\alpha+\lVert\alpha J\rVert\bigr)\lVert z\rVert^{2}.

Since z2\lVert z\rVert^{2} is nonnegative by claim 1 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n and claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, multiplying α+αJ3α\alpha+\lVert\alpha J\rVert\le 3\alpha by z2\lVert z\rVert^{2} and reversing signs with claim 4 of Elementary Order Arithmetic in an Ordered Field gives 3αz2(α+αJ)z2-3\alpha\lVert z\rVert^{2}\le-\bigl(\alpha+\lVert\alpha J\rVert\bigr)\lVert z\rVert^{2}. Hence 3αI2n(α+αJ)I2n-3\alpha I_{2n}\preceq-\bigl(\alpha+\lVert\alpha J\rVert\bigr)I_{2n}, and claim 2 follows from Step 3 by transitivity of \preceq.

Step 6 (Claim 3). Let ξ,ηRn\xi,\eta\in\mathbb{R}^{n} and put z=ι(ξ,η)z=\iota(\xi,\eta). By Block Diagonal Symmetric Matrices and the Blocks of a Symmetric Matrix §quadratic-form, claim 1 of Linearity of the Matrix-Vector Product and the Quadratic Form as a Double Sum and claim 5 of Bilinearity and Symmetry of the Dot Product on Rn\mathbb{R}^n,

z((X(Y))z)=ξ(Xξ)+η((Y)η)=ξ(Xξ)η(Yη).z\cdot\Bigl(\bigl(X\oplus(-Y)\bigr)z\Bigr)=\xi\cdot(X\xi)+\eta\cdot\bigl((-Y)\eta\bigr)=\xi\cdot(X\xi)-\eta\cdot(Y\eta).

By Vector, Entry and Comparison Bounds for the Norm of a Symmetric Real Matrix §identity and claim 3 of Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space,

z((3αI2n)z)=3αz2=3α(ξ2+η2),z\cdot\bigl((-3\alpha I_{2n})z\bigr)=-3\alpha\lVert z\rVert^{2}=-3\alpha\bigl(\lVert\xi\rVert^{2}+\lVert\eta\rVert^{2}\bigr),

and by claim 1 of Linearity of the Matrix-Vector Product and the Quadratic Form as a Double Sum, claim 5 of Bilinearity and Symmetry of the Dot Product on Rn\mathbb{R}^n and The Doubling Matrix and its Elementary Properties §quadratic-form, z((3αJ)z)=3αξη2z\cdot\bigl((3\alpha J)z\bigr)=3\alpha\lVert\xi-\eta\rVert^{2}. Claim 3 is therefore claim 2 read through the description of \preceq in Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation §ordering, every point of R2n\mathbb{R}^{2n} being of the form ι(ξ,η)\iota(\xi,\eta).

Step 7 (Claim 4). Immediate from claim 2 and The Doubling Matrix and its Elementary Properties §diagonal-comparison, applied with c=3αc=3\alpha.

Step 8 (Claim 5). By claim 2 and The Doubling Matrix and its Elementary Properties §scaled, X(Y)3αJ6αI2nX\oplus(-Y)\preceq 3\alpha J\preceq 6\alpha I_{2n}. Also 6αI2n3αI2n-6\alpha I_{2n}\preceq-3\alpha I_{2n}: for zR2nz\in\mathbb{R}^{2n} the two quadratic forms are 6αz2-6\alpha\lVert z\rVert^{2} and 3αz2-3\alpha\lVert z\rVert^{2} by Vector, Entry and Comparison Bounds for the Norm of a Symmetric Real Matrix §identity, and 3α3α+3α=6α3\alpha\le 3\alpha+3\alpha=6\alpha because 03α0\le 3\alpha, so multiplying by the nonnegative number z2\lVert z\rVert^{2} and reversing signs with claim 4 of Elementary Order Arithmetic in an Ordered Field gives the asserted inequality of quadratic forms. By transitivity, 6αI2nX(Y)6αI2n-6\alpha I_{2n}\preceq X\oplus(-Y)\preceq 6\alpha I_{2n}, so claim 3 of Properties of the Norm of a Symmetric Real Matrix, applicable since 06α0\le 6\alpha, gives X(Y)6α\lVert X\oplus(-Y)\rVert\le 6\alpha.

By Block Diagonal Symmetric Matrices and the Blocks of a Symmetric Matrix §norm, X(Y)\lVert X\oplus(-Y)\rVert is the larger of X\lVert X\rVert and Y\lVert-Y\rVert, and Y=1Y=Y\lVert-Y\rVert=|-1|\,\lVert Y\rVert=\lVert Y\rVert by claim 5 of Properties of the Norm of a Symmetric Real Matrix, since 1=1|-1|=1 by claims 2 and 1 of Properties of the Absolute Value in an Ordered Field together with claims 6 and 4 of Elementary Order Arithmetic in an Ordered Field. Hence X6α\lVert X\rVert\le 6\alpha and Y6α\lVert Y\rVert\le 6\alpha.

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