What are they? – A red–black tree is a data structure which is a type of self-balancing binary search tree.
Their relation to 2-4 trees (B-trees of order 4) – 2-4 trees are search Trees (but not binary search trees) – They are also known as 2-4, 2-3-4 trees
Applications
There are two popular Balanced Binary Search Tree: – AVL Tree and Red-Black Tree. – Both offers O(log n) search time.
Insertion-deletion takes less time in RedBlack Tree than AVL Tree. So Red-Black Tree are more popular than AVL Tree although implementing Red-Black is very complicated task.
Red-Black Trees
A red black tree is a binary search tree in which each node is colored red or black. The root is colored black. A red node can have only black children and can not have red node. Black node can have either black or red. If a node of the BST does not have a left and/or right child then we add an external node. External nodes are not colored.
Examples of red-black trees
Examples of invalid red-black Double red
Height of a red-black tree
The black depth of an external node is defined as the number of black ancestors it has. In a red-black tree every external node has the same black depth. Let h be the black height of a red-black tree on ‘n’ nodes. n is smallest when all nodes are black. In this case tree is a complete binary tree of height h and n=2h -1. n is largest when alternate levels of tree are red. Then height of tree is 2h and n=22h-1. Hence, log4 n < h < 1+log2 n . This holds true for B-tree of order 4.
Black Height of red-black trees
Black height of tree is 2
Black height of tree is 2
Examples of invalid red-black Black height not uniform
Conversion of Red-black trees to 2-4 trees
Any red-black tree can be converted into a 2-4 tree. Take a black node and its red children (at most 2) and combine them into one node of a 2-4 tree. Each node so formed has at least 1 and at most 3 keys. Since black height of all external nodes is same, in the resulting 2-4 tree all leaves are at same level.
Example 9 4
13
1
5
3
19
11
7
2
17
4 9 13 2-4 tree 123
57
11
1719
Conversion of 2-4 trees to red-black trees
Any 2-4 tree can be converted into a redblack tree. We replace a node of the 2-4 tree with one black node and 0/1/2 red nodes which are children of the black node. The height of the 2-4 tree is the black height of the red-black tree created. Every red node has a black child.
Example 13
2-4 tree
18
3 8 10 1 2
11 12
9
4 5 6
14 15
20
13 8
18 10
3 2 1
9
5 4
6
15 12 14
11
Red-black binary 20 tree
Black height (3) is same as height of 2-4 tree
Insertion in red-black trees
Let k be the key being inserted As in the case of a BST we first search for k; this gives us the place where we have to insert k. We create a new node with key k and insert it at this place. The new node is colored red.
Insertion(2)
Since inserted node is colored red, the black height of the tree remains unchanged. However, if the parent of inserted node is also red then we have a double red problem.
k No problem
k Double red problem
Insertion: case 1
Parent of inserted node (a) is red. Parent of (a) must be black (b) The other child of (b) is black (c). Triangle indicates black height of a path a b
k h-1
k
b
a
c
c
h
h h
h
h-1
Insertion: Case 2
Parent of inserted node (a) is red. Parent of (a) must be black (b) The other child of (b) is also red (c). If h=1, then root b can not be red. Colour red root as black. Now h=2.
b
b Double Red
a
c
a
c
k
k h
h
Insertion: case 2 (contd)
The parent of b could also be red. In that case, the double red problem moves up a level. We repeat this process at the next level. Eventually, we might color the root red. In this case we recolor the root black. This increases the black depth of every external node by 1. Worst case Time taken for insertion is O(log n)
Deletion: preliminaries
To delete a node we proceed as in a BST. Assume that the node which is deleted is the parent of an external node. Hence it is either a leaf or the parent of a leaf. 19 1
11 17
Problem case Re-colouring
17
Deletion: preliminaries(2)
Consider the case when the node deleted is a black leaf. Removing this reduces black depth of an external node by 1. Hence, in a general step, we consider how to reorganize the tree when the black height of some sub-tree goes down from h to h-1.
Deletion: the cases Parent of node
a is black
a
a is red
b is red a Both c are black
b c
c
a
b is black
b
a
a c
c
Some c is red
a
d
d
a
b a
b c
a Some d is red
b
Some c is red
c
b c d
b
Both d are black
b
Both c are black
a b c
c
a b
Deletion: case1.1 If parent (a) of a subtree whose black height is reduced by 1 is a red node . Then (a) has a child (b) which must be black Further, let us say, b has a red child (c) c a b a b h to h-1 h-1 h-1 c h-1 h-1 h-1 h-1 h-1 h-1 b a c a b h to h-1 c h-1 Re-colouring h-1 h-1 h-1 h-1
h-1
h-1
Deletion: case 1.2
If parent is a red node (a). Then it has a child (b) which must be black If b has no red child Swap the colouring
a b
a b
h to h-1
h-1 h-1
h-1
h-1
h-1
Deletion: case 2.1.1
h h-1
If parent is a black node (a). If (a) has a red child (b) Consider right child (c) of (b) which must be black. Let (c) has a red child (d). c a a b h to h-1 b c d h-1 h-1 h d h-1 h-1
h-1 h-1
Deletion: case 2.1.2
If parent is a black node (a). If (a) has a red child (b) Consider right child (c) of (b) which must be black. If (c) has no red child. a b
b a
h to h-1 h
c
c
h h-1
h-1
h-1 h-1
h-1
Deletion: case 2.2.1
If parent is a black node (a). If the child (c) of node (a) is black. If (c) has a red child (d) a c
h-1
d
h to h-1 d
c
a
h-1 h-1
h-1 h-1
h-1 h-1
Deletion: case 2.2.2
If parent is a black node (a). If the child (c) of node (a) is black. If (c) has no red child. a
a c
c
h to h-1
h-1 h-1
h-1
h-1
h-1
Deletion: Summary
In all cases, except 2.2.2, deletion can be completed by a simple rotation/re-coloring In case 2.2.2, the height of the subtree reduces and so we need to proceed up the tree. But in case 2.2.2 we only recolor nodes. Thus, if we proceed up the tree then we only need to recolor. Eventually we would do a rotation.
