Discrete Mathematics What is a proof?
نویسنده
چکیده
The pigeonhole principle is a basic counting technique. It is illustrated in its simplest form as follows: We have n + 1 pigeons and n holes. We put all the pigeons in holes (in any way we want). The principle tells us that there must be at least one hole with at least two pigeons in it. Why is that true? Try to visualize the example of n = 2; therefore, we have 3 pigeons and 2 holes. Let’s try to avoid the consequence stated by the principle. If all pigeons must be placed in holes, the first one must be placed in some hole. This hole can no longer be used. Now the second pigeon must occupy a different hole. The third pigeon must share a hole with another pigeon. It is obvious that this argument/proof can be generalized to any n. However, it is very mechanical. For instance, when presenting this proof and showing that any strategy will fail to avoid putting two pigeons in the same hole, you will start by saying something like: let’s place pigeon 1 in hole 1. One might say in response to that: but what if there is another strategy? You are going to say: well it does not matter which hole you choose for pigeon 1. So, basically you have to articulate your proof. Here’s an easier proof using a technique called proof by contradiction. In a proof by contradiction you start by the opposite of what you claim, and then try to reach something that is false (yes that’s funny!). If your logic is correct, this can only mean one thing: your starting point is false. So, what is the opposite of our claim? Our claim is that at last one hole will contain at least two pigeons. The opposite of the claim is that every hole has at most one pigeon. Assume every hole has at most one pigeon. Then the total number of pigeons is at most 1+1+. . .+1 (n times), which is n, a contradiction! Dirichlet was the first to articulate this principle in proving that for any real number α and any integer n, there exist integers p and 1 ≤ q ≤ n, such that:
منابع مشابه
A Note on the Descent Property Theorem for the Hybrid Conjugate Gradient Algorithm CCOMB Proposed by Andrei
In [1] (Hybrid Conjugate Gradient Algorithm for Unconstrained Optimization J. Optimization. Theory Appl. 141 (2009) 249 - 264), an efficient hybrid conjugate gradient algorithm, the CCOMB algorithm is proposed for solving unconstrained optimization problems. However, the proof of Theorem 2.1 in [1] is incorrect due to an erroneous inequality which used to indicate the descent property for the s...
متن کاملCS / Math 240 : Introduction to Discrete Mathematics Fall 2015 Reading 4 : Proofs
Up until now, we have been introducing mathematical notation to capture concepts such as propositions, implications, predicates, and sets. We need this machinery in order to be able to argue properties of discrete structures in a rigorous manner. As we were introducing new concepts, we stated various facts and gave proofs of some of them, but we were not explicit about what a correct proof shou...
متن کاملA VARIATIONAL APPROACH TO THE EXISTENCE OF INFINITELY MANY SOLUTIONS FOR DIFFERENCE EQUATIONS
The existence of infinitely many solutions for an anisotropic discrete non-linear problem with variable exponent according to p(k)–Laplacian operator with Dirichlet boundary value condition, under appropriate behaviors of the non-linear term, is investigated. The technical approach is based on a local minimum theorem for differentiable functionals due to Ricceri. We point out a theorem as a spe...
متن کاملApplication of Graph Theory: Relationship of Topological Indices with the Partition Coefficient (logP) of the Monocarboxylic Acids
It is well known that the chemical behavior of a compound is dependent upon the structure of itsmolecules. Quantitative structure – activity relationship (QSAR) studies and quantitative structure –property relationship (QSPR) studies are active areas of chemical research that focus on the nature ofthis dependency. Topological indices are the numerical value associated with chemical constitution...
متن کاملFINITE-TIME PASSIVITY OF DISCRETE-TIME T-S FUZZY NEURAL NETWORKS WITH TIME-VARYING DELAYS
This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...
متن کاملNumerical algorithm for discrete barrier option pricing in a Black-Scholes model with stationary process
In this article, we propose a numerical algorithm for computing price of discrete single and double barrier option under the emph{Black-Scholes} model. In virtue of some general transformations, the partial differential equations of option pricing in different monitoring dates are converted into simple diffusion equations. The present method is fast compared to alterna...
متن کامل