Chapter 21: Problem 8
Show that \(0=(0, \ldots, 0) \in \mathbb{N}^{n}\) is the smallest element with respect to a monomial order \(\prec\) : \(0=\min _{\prec} \mathbb{N}^{n}\).
Short Answer
Expert verified
The zero vector \((0, 0, ..., 0)\) is the smallest in any monomial order on \(\mathbb{N}^n\).
Step by step solution
01
Understanding the Problem
We need to show that the zero vector \(0 = (0, 0, ewline . . . , 0)\) is the smallest element in \(\mathbb{N}^n\) concerning any given monomial order \(\prec\). This means that, under the order \(\prec\), no other vector \(a = (a_1, a_2, . . . , a_n)\) in \(\mathbb{N}^n\) is smaller than \((0, 0, ewline . . . , 0)\).
02
Properties of Monomial Orders
Monomial orders are total orders on the set of monomials that are compatible with multiplication and have the property that \(1\) (equivalently \((0, 0,ewline . . . , 0)\)) is the smallest element. This means in any monomial ordering, the origin or zero vector must necessarily be the least.
03
Showing \((0, 0, ..., 0)\) is the Smallest
Since monomial orders dictate that the zero vector \((0, 0, ewline . . . , 0)\) must be less than or equal to any other vector \((a_1, a_2, ewline . . . , a_n)\) in \(\mathbb{N}^n\), we have \( (0,0,ewline . . . , 0) \prec (a_1, a_2, ewline . . . , a_n)\). This illustrates that no other monomial, no matter the order, can be smaller.
04
Conclusion about Monomial Order
By the definition of a monomial order, the zero vector \((0,0,ewline . . . ,0)\) is necessarily the smallest element in \(\mathbb{N}^n\), thus proving \(0 = \min_{\prec} \mathbb{N}^n\). This conclusion holds regardless of the specific monomial order chosen.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Zero Vector
In mathematics, particularly in the context of vectors, the zero vector, which is represented as \(0 = (0, 0, \ldots, 0)\), is a fundamental concept. This vector is composed entirely of zeros across its coordinates. The zero vector is unique in that it is not just zero in magnitude,but it also functions as a neutral element in vector addition. When you add the zero vector to any other vector, the original vector remains unchanged.
- Example: For any vector \( a = (a_1, a_2, \ldots, a_n) \), we have \( a + 0 = a \).
- It’s the foundational vector for defining directions and dimensions. It sets the origin in geometric space.
Total Order
A total order is a crucial concept in mathematics when comparing and arranging elements within a set. It provides a full ranking system, where every element can be compared to every other element in a specified comprehensive manner. This means that for any two elements in a set, one element is either smaller, larger, or equivalent to the other.
- This ordering system is transitive. If element a is related to b, and b is related to c, then a is related to c.
- It's reflexive, meaning every element is comparable to itself.
- It’s antisymmetric so that if one element is equivalent to another, then they must be the same element in terms of value.
Natural Numbers
Natural numbers are the set of positive integers starting from 0 or 1, depending on context, and proceeding indefinitely upward. They are denoted by the symbol \( \mathbb{N} \) and are foundational in mathematicsfor counting and ordering.
- They include numbers like 0, 1, 2, 3, and so forth.
- These numbers are inherently greater than zero except for the zero itself.
- Each number has a successive number obtained by adding one.