We try to find a bit in the binary representation of a number at the position and check if it is set/unset.
Given two positive integers (n
and k
) we check whether the bit at position k
, from the right in the binary representation of n, is set 1
or unset 0
.
Example 01:
Input: n = 5, k = 1
Output: true
Example 02:
Input: n = 10, k = 2
Output: true
Example 03:
Input: n = 10, k = 1
Output: false
if(n == 0) return;k = 1while(true) {if((n & (1 << (k - 1))) == 0)increment kelse {return k}}
Time Complexity: O(1)
This always remains constant, as we are dealing with the bit representation of the decimals or ASCII. They are represented by either 32
or 64
bit.
Space Complexity: O(1)
because we are not using any extra space in our code.
class CheckKthBitSetOrNot {private static boolean checkKthBitSet(int n, int k) {return (n & (1 << (k - 1))) != 0;}public static void main(String[] args) {System.out.println("n = 5, k = 3 : " + checkKthBitSet(5, 3));System.out.println("------------");System.out.println("n = 10, k = 2 : " + checkKthBitSet(10, 2));System.out.println("------------");System.out.println("n = 10, k = 1 : " + checkKthBitSet(10, 1));}}
We used the left shift operation to shift the bits to &
operation with number 1
, and check if it is not-equals to 0
.
Let’s see these in 32-bit binary representation
Input n = 5, k = 3n = 5 = 00000000 00000000 00000000 000001011 = 1 = 00000000 00000000 00000000 00000001k = 3 = 00000000 00000000 00000000 00000011(k - 1) = 2 = 00000000 00000000 00000000 00000010
Now we'll shift 1
with (k - 1)
positions. We are shifting number 1
two-bit positions to the left side.
(1 << (k - 1)) = 4 = 00000000 00000000 00000000 00000100
Now, doing the &
operation of n
and (1 << (k - 1))
will give us a decimal number. If that is not equal to 0
, then the bit is set, and we return true
.
n = 5 = 00000000 00000000 00000000 00000101(1 << (k - 1)) = 4 = 00000000 00000000 00000000 00000100-------------------------------------------------------------n & (1 << (k - 1)) = 4 = 00000000 00000000 00000000 00000100-------------------------------------------------------------
So, n & (1 << (k - 1)) = 4
, which is not 0
, so we return true
.
Time Complexity: O(1)
This is constant, as we are dealing with the bit representation of the decimals or ASCII. They are represented in either 32
bit or 64
bit.
Space Complexity: O(1)
because we are not using any extra space in our code.
We can solve this problem using the right shift as well. We will see how to solve the same problem using the >>
operator in the next chapter.
Note: On how to solve problems using bit manipulation, you can visit it here: Master Bit Manipulation for Coding Interviews.
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