MHB Norm of Integrals: Bounding the Matrix Product

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The discussion focuses on bounding the norm of the integral of the product of two continuous matrices A(t) and B(t) over the interval [0,1]. It establishes that if the Frobenius norm is used, the inequality ||integral (AB)|| ≤ ||B(t)|| * integral (A) holds under certain conditions. Specifically, it employs Minkowski's inequality and the submultiplicative property of the Frobenius norm to derive the bound. The maximum norm of B(t) over the interval is crucial for the inequality to hold. This provides a clear method for estimating the integral's norm based on the properties of the matrices involved.
sarrah1
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Hi
I have an integral over [0,1] of product of two matrices say A(t). B(t) and I wish to bound its norm. Can you say that
||integral (AB)||<||B(t)||.||integral (A)|.
is there some conditions on that to occur
thanks sarrah
 
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Hi Sarrah,

Suppose $A(t)$ and $B(t)$ are continuous on $[0,1]$, of sizes $m \times n$ and $n \times k$, respectively. If the matrix norm is Frobenius, then

\[
\left\|\int_0^1 A(t) B(t)\, dt\right\| \le (\max_{t\in [0,1]} \|B(t)\|) \int_0^1 \|A(t)\|\, dt.
\]

To see this, note that by Minkowski's inequality,

\[
\left\|\int_0^1 A(t)B(t)\, dt\right\| \le \int_0^1 \|A(t)B(t)\|\, dt \qquad (1)
\]

Since the Frobenius norm is submultiplicative,

\[
\|A(t)B(t)\| \le \|A(t)\| \|B(t)\| \le (\max_{t\in [0,1]} \|B(t)\|) \|A(t)\|
\]

for all $t$ in $[0,1]$. Hence

\[
\int_0^1 \|A(t)\| \|B(t)\|\, dt \le (\max_{t\in [0,1]} \|B(t)\|) \int_0^1 \|A(t)\|\, dt. \qquad (2)
\]

The result is obtained by combining (1) and (2).
 

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