A Method for the Automated Discovery of Angle Theorems

P. Todd
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Abstract

One approach to Geometric Discovery starts with a given geometry diagram, and hunts systematically, or unsystematically for provable statements about the geometric entities, or further derived geometric entities [1]. The given diagram can be in fact a parametrized family of diagrams [5]. Another approach [4] is to start with the statements one wants to prove, and discover supplementary conditions required to make the theorems true. Again, however, the geometric milieu is given. A problem for such systems is to determine the interestingness of generated theorems, metrics for which are an active topic of research[2]. In this paper, we consider working in reverse and generating the geometric diagram to match a more abstract form of the theorem, which guarantees both its solution, but also a certain level of interestingness. The abstract form is developed by analogy with known theorems, considered (by this author) to be aesthetically pleasing. We develop and automate here a method for generating many theorems of comparable structure but different geometry to our seed theorems. Hopefully this might lend us some control of the richness and tractability, even aesthetic appeal of our generated theorems. Having promised emergent geometry, we immediately limit the scope of our work, however, to consider theorems in the Naive Angle Method employed by Geometry Expressions [9] for angle specific problems. While the method accommodates a number of different constraint types, in the bulk of this paper, we focus solely on the angle bisector constraint, which can be disguised as an isosceles triangle, a circle chord, or a reflection. In any case, it contributes a row with 3 values -1,-1,2 to the constraint matrix. At one level, we can re-interpret the same matrix using different geometry: for example changing a circle chord into an angle bisector (figure 1). At another level, we consider matrices with non zero elements in the same places, but with different assignments within the row of the numerical values (they will still be -1, -1 , 2, only their order will be different). At a third level, we generalize to consider matrices with a similar pattern of non-zero positions. For a class of such matrices, we give structural conditions which determine the presence or absence of theorems of comparable interest to the prototype.
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角定理自动发现的一种方法
几何发现的一种方法是从给定的几何图开始,系统地或非系统地寻找关于几何实体或进一步派生的几何实体[1]的可证明陈述。给定的图实际上可以是一个参数化的图族[5]。另一种方法[4]是从想要证明的陈述开始,并发现使定理成立所需的补充条件。然而,几何环境又是给定的。这类系统的一个问题是确定所生成定理的有趣性,这是一个活跃的研究主题。在本文中,我们考虑反向工作并生成几何图来匹配定理的更抽象形式,这既保证了它的解,又保证了一定程度的趣味性。抽象形式是通过与已知定理的类比而发展起来的,(作者)认为这是美学上的。我们在这里开发并自动化了一种方法,用于生成许多结构相似但几何形状不同于种子定理的定理。希望这可以帮助我们控制我们生成的定理的丰富性和可追溯性,甚至是美学吸引力。在承诺了紧急几何之后,我们立即限制了我们工作的范围,然而,考虑由几何表达式[9]用于角度特定问题的朴素角方法中的定理。虽然该方法适用于许多不同的约束类型,但在本文的大部分内容中,我们只关注角平分线约束,它可以伪装成等腰三角形,圆弦或反射。在任何情况下,它都为约束矩阵贡献了一个有3个值- 1,1,2的行。在一个层面上,我们可以使用不同的几何结构重新解释相同的矩阵:例如,将圆弦变为角平分线(图1)。在另一个层面上,我们考虑在相同位置具有非零元素的矩阵,但在数值的行中具有不同的赋值(它们仍然是-1,-1,2,只是它们的顺序不同)。在第三层,我们推广到考虑具有类似非零位置模式的矩阵。对于一类这样的矩阵,我们给出了结构条件来决定是否存在与原型相似的定理。
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