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Remarks on curvature dimension conditions on graphs

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Abstract

We show a connection between the \(CDE'\) inequality introduced in Horn et al. (Volume doubling, Poincaré inequality and Gaussian heat kernel estimate for nonnegative curvature graphs. arXiv:1411.5087v2, 2014) and the \(CD\psi \) inequality established in Münch (Li–Yau inequality on finite graphs via non-linear curvature dimension conditions. arXiv:1412.3340v1, 2014). In particular, we introduce a \(CD_\psi ^\varphi \) inequality as a slight generalization of \(CD\psi \) which turns out to be equivalent to \(CDE'\) with appropriate choices of \(\varphi \) and \(\psi \). We use this to prove that the \(CDE'\) inequality implies the classical CD inequality on graphs, and that the \(CDE'\) inequality with curvature bound zero holds on Ricci-flat graphs.

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References

  1. Bakry, D., Émery, M.: Diffusions hypercontractives. (French) [Hypercontractive diffusions]. Séminaire de probabilité, XIX, 1983/84, pp. 177–206. Lecture Notes in Mathematics, vol. 1123. Springer, Berlin (1985)

  2. Bauer, F., Horn, P., Lin, Y., Lippner, G., Mangoubi, D., Yau, S.-T.: Li–Yau inequality on graphs. J. Differ. Geom. 3, 359–405 (2015)

  3. Chung, F., Yau, S.-T.: Logarithmic Harnack inequalities. Math. Res. Lett. 3, 793–812 (1996)

  4. Horn, P., Lin, Y., Liu, S., Yau, S.-T.: Volume doubling, Poincaré inequality and Gaussian heat kernel estimate for nonnegative curvature graphs (2014). arXiv:1411.5087v2

  5. Münch, F.: Li–Yau inequality on finite graphs via non-linear curvature dimension conditions (2014). arXiv:1412.3340v1

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Acknowledgements

I wish to thank Matthias Keller and Daniel Lenz for their support and for sharing ideas in many fruitful discussions.

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Correspondence to Florentin Münch.

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Communicated by J. Jost.

Appendix A

Appendix A

Definition A.1

(Graph) A pair \(G=(V,E)\) with a finite set V and a relation \(E \subset V\times V\) is called a finite graph if \((v,v) \notin E\) for all \(v \in V\) and if \((v,w) \in E\) implies \((w,v) \in E\) for \(v,w \in V\). For \(v,w \in V\), we write \(v \sim w\) if \((v,w) \in E\).

Definition A.2

(Laplacian \(\Delta \)) Let \(G=(V,E)\) be a finite graph. The Laplacian \(\Delta : C(V) := {\mathbb {R}}^V \rightarrow C(V)\) is defined for \(f \in C(V)\) and \(v \in V\) as \( \Delta f (v) := \sum _{w \sim v} (f(w) - f(v)). \)

Definition A.3

We write \(\mathbb {R}^{+}:= (0,\infty )\) and \(\mathbb {R}^{+}_{0}:= [0,\infty )\). Let \(G=(V,E)\) be a finite graph. Then, we write \( C^+(V) := \{f:V \rightarrow \mathbb {R}^{+}\}. \)

Definition A.4

(Heat operator \(\mathcal L\)) Let \(G=(V,E)\) be a graph. The heat operator \(\mathcal L: C^1(V \times \mathbb {R}^{+}) \rightarrow C(V \times \mathbb {R}^{+})\) is defined by \(\mathcal L(u) := \Delta u - \partial _t u\) for all \(u \in C^1(V \times \mathbb {R}^{+})\). We call a function \(u \in C^{1}( V \times \mathbb {R}^{+}_{0})\) a solution to the heat equation on G if \(\mathcal L(u) = 0\).

Definition A.5

(Ricci-flat graphs) Let \(D \in {\mathbb {N}}\). A finite graph \(G = (V,E)\) is called D-Ricci-flat in \(v \in V\) if all \(w \in N(v):=\{v\} \cup \{w \in V: w \sim v\}\) have the degree D, and if there are maps \(\eta _1,\ldots ,\eta _D : N(v) \rightarrow V \), such that for all \(w \in N(v)\) and all \(i, j \in \{1,\ldots ,D\}\) with \(i \ne j\), one has \(\eta _i(w) \sim w\), \(\eta _i(w) \ne \eta _j(w)\), \(\bigcup _k \eta _k(\eta _i(v)) = \bigcup _k \eta _i(\eta _k(v))\). The graph G is called D-Ricci-flat if it is D-Ricci-flat in all \(v \in V\).

1.1 A.1 The CD condition via \(\Gamma \) calculus

We give the definition of the \(\Gamma \)-calculus and the CD condition following [1].

Definition A.6

(\(\Gamma \)-calculus) Let \(G=(V,E)\) be a finite graph. Then, the gradient form or carré du champ operator \(\Gamma : C(V) \times C(V) \rightarrow C(V)\) is defined by

$$\begin{aligned} 2 \Gamma (f,g) := \Delta (fg) - f\Delta g - g\Delta f. \end{aligned}$$

Similarly, the second gradient form \(\Gamma _2 : C(V) \times C(V) \rightarrow C(V)\) is defined by

$$\begin{aligned} 2 \Gamma _2 (f,g) := \Delta \Gamma (f, g) - \Gamma (f, \Delta g) - \Gamma (g, \Delta f). \end{aligned}$$

We write \(\Gamma (f):= \Gamma (f,f)\) and \(\Gamma _2 (f):= \Gamma _2 (f,f)\).

Definition A.7

(CD inequality) Let \(G=(V,E)\) be a finite graph and \(d \in \mathbb {R}^{+}\). We say G satisfies the curvature-dimension inequality CD(dK) if for all \(f \in C(V)\),

$$\begin{aligned} \Gamma _2(f) \ge \frac{1}{d} (\Delta f)^2 + K \Gamma (f). \end{aligned}$$

We can interpret this as meaning that the graph G has a dimension (at most) d and a Ricci curvature larger than K.

1.2 A.2 The CDE and \(CDE'\) conditions via \(\widetilde{\Gamma _2}\)

We give the definitions of CDE and \(CDE'\) following [2, 4]

Definition A.8

(The CDE inequality) We say that a graph \(G=(V,E)\) satisfies the CDE(xdK) inequality if for any \(f \in C^+(V)\) such that \(\Delta f (x) <0\), we have

$$\begin{aligned} \widetilde{\Gamma _2}(f) (x) := \Gamma _2(f)(x) - \Gamma \left( f, \frac{\Gamma (f)}{f} \right) (x) \ge \frac{1}{d} \left( \Delta f \right) ^2(x) + K \Gamma (f)(x). \end{aligned}$$

We say that CDE(dk) is satisfied if CDE(xdK) is satisfied for all \(x \in V\).

Definition A.9

(The \(CDE'\) inequality) We say that a graph \(G=(V,E)\) satisfies the \(CDE'(d,K)\) inequality if for any \(f \in C^+(V)\), we have

$$\begin{aligned} \widetilde{\Gamma _2}(f) \ge \frac{1}{d} f^2 \left( \Delta \log f \right) ^2 + K \Gamma (f). \end{aligned}$$

1.3 A.3 The \(CD\psi \) conditions via \(\Gamma ^\psi \) calculus

We give the definition of the \(\Gamma ^\psi \)-calculus and the \(CD\psi \) condition following [5].

Definition A.10

(\(\psi \)-Laplacian \(\Delta ^\psi \)) Let \(\psi \in C^1(\mathbb {R}^{+})\) and let \(G=(V,E)\) be a finite graph. Then, we call \(\Delta ^\psi : C^+(V) \rightarrow C(V)\), defined as

$$\begin{aligned} (\Delta ^\psi f ) (v) := \left( \Delta \left[ \psi \left( \frac{f}{f(v)} \right) \right] \right) (v), \end{aligned}$$

the \(\psi \) -Laplacian.

Definition A.11

(\(\psi \)-gradient \(\Gamma ^\psi \)) Let \(\psi \in C^1(\mathbb {R}^{+})\) be a concave function and let \(G=(V,E)\) be a finite graph. We define

$$\begin{aligned} \overline{\psi }(x):= \psi '(1)\cdot (x-1) - (\psi (x) - \psi (1)). \end{aligned}$$

Moreover, we define the \(\psi \)-gradient as \(\Gamma ^\psi : C^+(V) \rightarrow C(V)\),

$$\begin{aligned} \Gamma ^\psi := \Delta ^{\overline{\psi }}. \end{aligned}$$

Definition A.12

(Second \(\psi \)-gradient \(\Gamma _2^\psi \)) Let \(\psi \in C^1(\mathbb {R}^{+})\), and let \(G=(V,E)\) be a finite graph. Then, we define \(\Omega ^\psi : C^+(V) \rightarrow C(V)\) by

$$\begin{aligned} (\Omega ^\psi f ) (v) := \left( \Delta \left[ \psi ' \left( \frac{f}{f(v)} \right) \cdot \frac{f}{f(v)} \left[ \frac{\Delta f}{f} - \frac{(\Delta f)(v)}{f(v)} \right] \right] \right) (v). \end{aligned}$$

Furthermore, we define the second \(\psi \)-gradient \(\Gamma _2^\psi : C^+(V) \rightarrow C(V)\) by

$$\begin{aligned} 2 \Gamma _2^\psi (f) := \Omega ^\psi f + \frac{\Delta f \Delta ^\psi f}{f} - \frac{\Delta \left( f \Delta ^\psi f\right) }{f}. \end{aligned}$$

Definition A.13

(\(CD\psi \) condition) Let \(G=(V,E)\) be a finite graph, \(K \in {\mathbb {R}}\) and \(d \in \mathbb {R}^{+}\). We say G satisfies the \(CD\psi (d,K)\) inequality if for all \(f \in C^+(V)\), one has

$$\begin{aligned} \Gamma _2^\psi ( f) \ge \frac{1}{d} \left( \Delta ^\psi f \right) ^2 + K\Gamma ^\psi ( f). \end{aligned}$$

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Münch, F. Remarks on curvature dimension conditions on graphs. Calc. Var. 56, 11 (2017). https://doi.org/10.1007/s00526-016-1104-6

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