Priyanka Grover

collaborators

3 papers

math.FA2026

Subdifferential of the $B (H, K)$ norm, and approximate orthogonality

Priyanka Grover, Krishna Kumar Gupta, Susmita Seal

We present an expression for the right hand derivative of the $B (H, K)$ norm generalizing the result for $K = H$ in [D. J. Ke $c ˇ$ ki$\grav…

math.FA2026

Properties of best approximations with respect to the Ky Fan $p$ - $k$ norm, and the strict spectral approximant of a matrix

Priyanka Grover, Krishna Kumar Gupta

Some questions raised in [K. ZiÄtak, {\it From the strict Chebyshev approximant of a vector to the strict spectral approximant of a matrix}, Warsaw : Banach Center Publ., 112 Poli…

math.CO2024

Inertia and other properties of the matrix $[I^^{2} (i, j)]$

Priyanka Grover, Veer Singh Panwar

Let $I ¨ (A)$ , $I^¾ (A)$ and $I^½ (A)$ , respectively, denote the number of positive, zero and negative eigenvalues of the matrix $A$ . Then the triplet $(I ¨ (A), I^¾ (A), I^½ (A))$ is called t…

Subdifferential of the B(H,K) norm, and approximate orthogonality

Properties of best approximations with respect to the Ky Fan p-k norm, and the strict spectral approximant of a matrix

Inertia and other properties of the matrix [I^2(i,j)]

Subdifferential of the $B (H, K)$ norm, and approximate orthogonality

Properties of best approximations with respect to the Ky Fan $p$ - $k$ norm, and the strict spectral approximant of a matrix

Inertia and other properties of the matrix $[I^^{2} (i, j)]$