A classical result by Lov\'asz asserts that two graphs $G$ and $H$ are isomorphic if and only if they have the same left profile, that is, for every graph $F$, the number of homomorphisms from $F$ to $G$ coincides with the number of homomorphisms from $F$ to $H$. Dvor{\'{a}}k and later on Dell, Grohe, and Rattan showed that restrictions of the left profile to a class of graphs can capture several different relaxations of isomorphism, including equivalence in counting logics with a fixed number of variables (which contains fractional isomorphism as a special case) and co-spectrality (i.e., two graphs having the same characteristic polynomial). On the other side, a result by Chaudhuri and Vardi asserts that isomorphism is also captured by the right profile, that is, two graphs $G$ and $H$ are isomorphic if and only if for every graph $F$, the number of homomorphisms from $G$ to $F$ coincides with the number of homomorphisms from $H$ to $F$. In this paper, we embark on a study of the restrictions of the right profile by investigating relaxations of isomorphism that can or cannot be captured by restricting the right profile to a fixed class of graphs. Our results unveil striking differences between the expressive power of the left profile and the right profile. We show that fractional isomorphism, equivalence in counting logics with a fixed number of variables, and co-spectrality cannot be captured by restricting the right profile to a class of graphs. In the opposite direction, we show that chromatic equivalence cannot be captured by restricting the left profile to a class of graphs, while, clearly, it can be captured by restricting the right profile to the class of all cliques.
翻译:Lov\'asz 的一个古典结果显示,两个图形的左侧配置对某类图形的限制可以捕捉到若干不同的非形态变异, 包括计算逻辑的等值与固定变量数的等值(每个图中含有分数的偏形变异性)和共光度(每个图中,从美元到美元,两个图中具有相同特征的多元。Dvor\\\\\\\\\\\\k以及后来的Dell、Grohe和Rattan 显示, 左侧配置对某类图形的限制可以捕捉到若干不同的非形态变异, 包括计算逻辑的等值与固定变量数(每个图中含有分数的分数的偏异性变异性变异性)和共光度(每个图中,两个具有相同特征的正数) 。 Chaudhuri和Vardi 断言, 右侧图中也可以捕捉到直径直径的平面, 直径直径(如果每张的正值), 直径直径的平方的平方的平方的直方配置不能显示我们平面的平面的平面的平方的直方的平方, 。