You are given two strings a and b of the same length. Choose an index and split both strings at the same index, splitting a into two strings: aprefix and asuffix where a = aprefix + asuffix, and splitting b into two strings: bprefix and bsuffix where b = bprefix + bsuffix. Check if aprefix + bsuffix or bprefix + asuffix forms a palindrome.
When you split a string s into sprefix and ssuffix, either ssuffix or sprefix is allowed to be empty. For example, if s = "abc", then "" + "abc", "a" + "bc", "ab" + "c" , and "abc" + "" are valid splits.
Return true if it is possible to form a palindrome string, otherwise return false.
Notice that x + y denotes the concatenation of strings x and y.
Example 1:
Input: a = "x", b = "y"
Output: true
Explaination: If either a or b are palindromes the answer is true since you can split in the following way:
aprefix = "", asuffix = "x"
bprefix = "", bsuffix = "y"
Then, aprefix + bsuffix = "" + "y" = "y", which is a palindrome.
Example 2:
Input: a = "xbdef", b = "xecab"
Output: false
Example 3:
Input: a = "ulacfd", b = "jizalu"
Output: true
Explaination: Split them at index 3:
aprefix = "ula", asuffix = "cfd"
bprefix = "jiz", bsuffix = "alu"
Then, aprefix + bsuffix = "ula" + "alu" = "ulaalu", which is a palindrome.
Problem summary: You are given two strings a and b of the same length. Choose an index and split both strings at the same index, splitting a into two strings: aprefix and asuffix where a = aprefix + asuffix, and splitting b into two strings: bprefix and bsuffix where b = bprefix + bsuffix. Check if aprefix + bsuffix or bprefix + asuffix forms a palindrome. When you split a string s into sprefix and ssuffix, either ssuffix or sprefix is allowed to be empty. For example, if s = "abc", then "" + "abc", "a" + "bc", "ab" + "c" , and "abc" + "" are valid splits. Return true if it is possible to form a palindrome string, otherwise return false. Notice that x + y denotes the concatenation of strings x and y.
Baseline thinking
Start with the most direct exhaustive search. That gives a correctness anchor before optimizing.
Pattern signal: Two Pointers
Example 1
"x"
"y"
Example 2
"xbdef"
"xecab"
Example 3
"ulacfd"
"jizalu"
Step 02
Core Insight
What unlocks the optimal approach
Try finding the largest prefix from a that matches a suffix in b
Try string matching
Interview move: turn each hint into an invariant you can check after every iteration/recursion step.
Step 03
Algorithm Walkthrough
Iteration Checklist
Define state (indices, window, stack, map, DP cell, or recursion frame).
Apply one transition step and update the invariant.
Record answer candidate when condition is met.
Continue until all input is consumed.
Use the first example testcase as your mental trace to verify each transition.
Step 04
Edge Cases
Minimum Input
Single element / shortest valid input
Validate boundary behavior before entering the main loop or recursion.
Duplicates & Repeats
Repeated values / repeated states
Decide whether duplicates should be merged, skipped, or counted explicitly.
Extreme Constraints
Upper-end input sizes
Re-check complexity target against constraints to avoid time-limit issues.
Invalid / Corner Shape
Empty collections, zeros, or disconnected structures
Handle special-case structure before the core algorithm path.
Step 05
Full Annotated Code
Source-backed implementations are provided below for direct study and interview prep.
// Accepted solution for LeetCode #1616: Split Two Strings to Make Palindrome
class Solution {
public boolean checkPalindromeFormation(String a, String b) {
return check1(a, b) || check1(b, a);
}
private boolean check1(String a, String b) {
int i = 0;
int j = b.length() - 1;
while (i < j && a.charAt(i) == b.charAt(j)) {
i++;
j--;
}
return i >= j || check2(a, i, j) || check2(b, i, j);
}
private boolean check2(String a, int i, int j) {
while (i < j && a.charAt(i) == a.charAt(j)) {
i++;
j--;
}
return i >= j;
}
}
// Accepted solution for LeetCode #1616: Split Two Strings to Make Palindrome
func checkPalindromeFormation(a string, b string) bool {
return check1(a, b) || check1(b, a)
}
func check1(a, b string) bool {
i, j := 0, len(b)-1
for i < j && a[i] == b[j] {
i++
j--
}
return i >= j || check2(a, i, j) || check2(b, i, j)
}
func check2(a string, i, j int) bool {
for i < j && a[i] == a[j] {
i++
j--
}
return i >= j
}
# Accepted solution for LeetCode #1616: Split Two Strings to Make Palindrome
class Solution:
def checkPalindromeFormation(self, a: str, b: str) -> bool:
def check1(a: str, b: str) -> bool:
i, j = 0, len(b) - 1
while i < j and a[i] == b[j]:
i, j = i + 1, j - 1
return i >= j or check2(a, i, j) or check2(b, i, j)
def check2(a: str, i: int, j: int) -> bool:
return a[i : j + 1] == a[i : j + 1][::-1]
return check1(a, b) or check1(b, a)
// Accepted solution for LeetCode #1616: Split Two Strings to Make Palindrome
impl Solution {
pub fn check_palindrome_formation(a: String, b: String) -> bool {
fn check1(a: &[u8], b: &[u8]) -> bool {
let (mut i, mut j) = (0, b.len() - 1);
while i < j && a[i] == b[j] {
i += 1;
j -= 1;
}
if i >= j {
return true;
}
check2(a, i, j) || check2(b, i, j)
}
fn check2(a: &[u8], mut i: usize, mut j: usize) -> bool {
while i < j && a[i] == a[j] {
i += 1;
j -= 1;
}
i >= j
}
let a = a.as_bytes();
let b = b.as_bytes();
check1(a, b) || check1(b, a)
}
}
// Accepted solution for LeetCode #1616: Split Two Strings to Make Palindrome
function checkPalindromeFormation(a: string, b: string): boolean {
const check1 = (a: string, b: string) => {
let i = 0;
let j = b.length - 1;
while (i < j && a.charAt(i) === b.charAt(j)) {
i++;
j--;
}
return i >= j || check2(a, i, j) || check2(b, i, j);
};
const check2 = (a: string, i: number, j: number) => {
while (i < j && a.charAt(i) === a.charAt(j)) {
i++;
j--;
}
return i >= j;
};
return check1(a, b) || check1(b, a);
}
Step 06
Interactive Study Demo
Use this to step through a reusable interview workflow for this problem.
Press Step or Run All to begin.
Step 07
Complexity Analysis
Time
O(n)
Space
O(1)
Approach Breakdown
BRUTE FORCE
O(n²) time
O(1) space
Two nested loops check every pair of elements. The outer loop picks one element, the inner loop scans the rest. For n elements that is n × (n−1)/2 comparisons = O(n²). No extra memory — just two loop variables.
TWO POINTERS
O(n) time
O(1) space
Each pointer traverses the array at most once. With two pointers moving inward (or both moving right), the total number of steps is bounded by n. Each comparison is O(1), giving O(n) overall. No auxiliary data structures are needed — just two index variables.
Shortcut: Two converging pointers on sorted data → O(n) time, O(1) space.
Coach Notes
Common Mistakes
Review these before coding to avoid predictable interview regressions.
Moving both pointers on every comparison
Wrong move: Advancing both pointers shrinks the search space too aggressively and skips candidates.
Usually fails on: A valid pair can be skipped when only one side should move.
Fix: Move exactly one pointer per decision branch based on invariant.