diff --git a/types/mathjs/index.d.ts b/types/mathjs/index.d.ts
index c72ca68941..20fb7154cb 100644
--- a/types/mathjs/index.d.ts
+++ b/types/mathjs/index.d.ts
@@ -1,4 +1,4 @@
-// Type definitions for mathjs 4.4
+// Type definitions for mathjs 5.0
 // Project: http://mathjs.org/
 // Definitions by: Ilya Shestakov <https://github.com/siavol>,
 //                  Andy Patterson <https://github.com/andnp>,
@@ -1277,7 +1277,7 @@ declare namespace math {
          * @param format The Matrix storage format
          * @returns A matrix with ones on the diagonal
          */
-        eye(
+        identity(
             size: number | number[] | Matrix | MathArray,
             format?: string
         ): Matrix | MathArray | number;
@@ -1287,7 +1287,7 @@ declare namespace math {
          * @param format The Matrix storage format
          * @returns A matrix with ones on the diagonal
          */
-        eye(m: number, n: number, format?: string): Matrix | MathArray | number;
+        identity(m: number, n: number, format?: string): Matrix | MathArray | number;
 
         /**
          * Filter the items in an array or one dimensional matrix.
@@ -3714,12 +3714,12 @@ declare namespace math {
          * matrix has ones on the diagonal and zeros elsewhere.
          * @param format The Matrix storage format
          */
-        eye(format?: string): MathJsChain;
+        identity(format?: string): MathJsChain;
         /**
          * @param n The y dimension for the matrix
          * @param format The Matrix storage format
          */
-        eye(n: number, format?: string): MathJsChain;
+        identity(n: number, format?: string): MathJsChain;
 
         /**
          * Filter the items in an array or one dimensional matrix.
diff --git a/types/mathjs/mathjs-tests.ts b/types/mathjs/mathjs-tests.ts
index 15d455e427..f336da0a0b 100644
--- a/types/mathjs/mathjs-tests.ts
+++ b/types/mathjs/mathjs-tests.ts
@@ -294,7 +294,7 @@ Sparse matrices examples
 */
 {
 	// create a sparse matrix
-	const a = math.eye(1000, 1000, 'sparse');
+	const a = math.identity(1000, 1000, 'sparse');
 
 	// do operations with a sparse matrix
 	const b = math.multiply(a, a);