Krull dimension measures a ring's complexity by finding the longest chain of prime ideals . It's a key concept in commutative algebra, helping us understand ring structure and properties.
Krull dimension has important applications in algebraic geometry and number theory. It's used to analyze polynomial rings, local rings, and quotient rings, providing insights into their algebraic and geometric properties.
Fundamentals of Krull Dimension
Definition of Krull dimension
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Krull dimension measures the "complexity" of a ring by determining the maximum length of chains of prime ideals
Chain of prime ideals forms a sequence of strictly increasing prime ideals P 0 ⊂ P 1 ⊂ ⋯ ⊂ P n P_0 \subset P_1 \subset \cdots \subset P_n P 0 ⊂ P 1 ⊂ ⋯ ⊂ P n
Notation dim ( R ) \dim(R) dim ( R ) denotes the Krull dimension for a ring R R R
Possible values include non-negative integers or infinity for certain rings (polynomial rings with infinitely many variables)
Properties of Krull dimension
Localization invariance ensures dim ( R ) ≥ dim ( S − 1 R ) \dim(R) \geq \dim(S^{-1}R) dim ( R ) ≥ dim ( S − 1 R ) for a multiplicative set S S S in R R R , with equality when S S S avoids minimal prime ideals
Quotient operation yields dim ( R / I ) ≤ dim ( R ) \dim(R/I) \leq \dim(R) dim ( R / I ) ≤ dim ( R ) for an ideal I I I in R R R , with equality possible for certain ideals (prime ideals)
Dimension of integral domains equals the transcendence degree of its field of fractions
Noetherian rings possess finite Krull dimension due to ascending chain condition
Artinian rings have Krull dimension zero as they contain only maximal ideals
Applications and Advanced Concepts
Computation of Krull dimension
Polynomial rings over a field k k k have dim ( k [ x 1 , … , x n ] ) = n \dim(k[x_1, \ldots, x_n]) = n dim ( k [ x 1 , … , x n ]) = n , proved using induction and transcendence degree
Local rings maintain dimension, dim ( R m ) = dim ( R ) \dim(R_m) = \dim(R) dim ( R m ) = dim ( R ) for a maximal ideal m m m (localization at maximal ideal)
Product of rings follows dim ( R × S ) = max ( dim ( R ) , dim ( S ) ) \dim(R \times S) = \max(\dim(R), \dim(S)) dim ( R × S ) = max ( dim ( R ) , dim ( S ))
Specific examples include dim ( Z ) = 1 \dim(\mathbb{Z}) = 1 dim ( Z ) = 1 (prime ideals ( 0 ) ⊂ ( p ) (0) \subset (p) ( 0 ) ⊂ ( p ) ) and dim ( k [ x , y ] / ( x y − 1 ) ) = 1 \dim(k[x,y]/(xy-1)) = 1 dim ( k [ x , y ] / ( x y − 1 )) = 1 (hyperbola)
Krull dimension vs prime ideals
Height of a prime ideal P P P measures the maximum length of chain of prime ideals contained in P P P , satisfying ht ( P ) ≤ dim ( R ) \text{ht}(P) \leq \dim(R) ht ( P ) ≤ dim ( R )
Depth of a prime ideal P P P determines the minimum length of maximal chain of prime ideals containing P P P
Relationship between height and depth yields dim ( R ) = max { ht ( P ) + depth ( P ) : P is prime } \dim(R) = \max\{\text{ht}(P) + \text{depth}(P) : P \text{ is prime}\} dim ( R ) = max { ht ( P ) + depth ( P ) : P is prime }
Codimension defined as codim ( P ) = dim ( R ) − dim ( R / P ) \text{codim}(P) = \dim(R) - \dim(R/P) codim ( P ) = dim ( R ) − dim ( R / P ) , equals height for Noetherian rings
Krull's Principal Ideal Theorem
Statement asserts in a Noetherian ring R R R , any minimal prime ideal over a principal ideal has height at most 1
Proof outline involves Noetherian induction, constructing a chain of ideals, and applying Nakayama's lemma
Consequences include determining dimension of hypersurfaces and bounding the number of generators for prime ideals
Generalization extends to n n n elements, where minimal primes have height at most n n n
Applications encompass dimension theory of affine varieties and characterization of Cohen-Macaulay rings