Is $\langle f,g\rangle$ an inner product on $W$?

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In summary, an inner product on $W$ must satisfy properties such as linearity, conjugate symmetry, and positive definiteness. This inner product is related to the norm of $f$ and $g$ where $\langle f,f\rangle = \|f\|^2$. The conjugate symmetry property ensures that the inner product is independent of the order of the arguments. Not all functions in $W$ can be used in the inner product, as they must satisfy certain properties. The concept of orthogonality, where $\langle f,g\rangle = 0$, is closely related to an inner product and is useful in various fields.
  • #1
Chris L T521
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Thanks to those who participated in last week's POTW! Here's this week's problem.

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Problem: Let $W$ be the vector space of all differentiable real-valued functions on the interval $[0,1]$. For $f,g\in W$, define

\[\langle f,g\rangle=\int_0^1 f(x)g(x)\,dx + \int_0^1 f^{\prime}(x)g^{\prime}(x)\,dx.\]

Prove that $\langle f,g\rangle$ is an inner product on $W$.

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  • #2
This week's question was correctly answered by Sudharaka. You can find his solution below:

\begin{eqnarray}

\langle f,g\rangle&=&\int_0^1 f(x)g(x)\,dx + \int_0^1 f^{\prime}(x)g^{\prime}(x)\,dx\\

&=&\int_0^1 g(x)f(x)\,dx + \int_0^1 g^{\prime}(x)f^{\prime}(x)\,dx\\

&=&\langle g,f\rangle~~~~~~~~~~~(1)

\end{eqnarray}

\begin{eqnarray}

\langle f+h,g\rangle&=&\int_0^1 (f+h)(x)g(x)\,dx + \int_0^1 (f+h)^{\prime}(x)g^{\prime}(x)\,dx\\

&=&\int_0^1 f(x)g(x)\,dx + \int_0^1 f^{\prime}(x)g^{\prime}(x)\,dx+\int_0^1 h(x)g(x)\,dx + \int_0^1 h^{\prime}(x)g^{\prime}(x)\,dx\\

&=&\langle f,g\rangle+\langle h,g\rangle~~~~~~~~~~~(2)

\end{eqnarray}

\begin{eqnarray}

\langle kf,g\rangle&=&\int_0^1 kf(x)g(x)\,dx + \int_0^1 kf^{\prime}(x)g^{\prime}(x)\,dx\\

&=&k\left[\int_0^1 f(x)g(x)\,dx + \int_0^1 f^{\prime}(x)g^{\prime}(x)\,dx\right]\\

&=&k\langle f,g\rangle~~~~~~~~~~~(3)

\end{eqnarray}

\begin{eqnarray}

\langle f,f\rangle&=&\int_0^1 [f(x)]^2\,dx + \int_0^1 [f^{\prime}(x)]^2\,dx\\

&=&\int_0^1 \left\{[f(x)]^2+[f^{\prime}(x)]^2\right\}\,dx\\

&\geq& 0~~~~~~~~~~~(4)

\end{eqnarray}

\(\mbox{If, }\langle f,f\rangle=0\)

\[\int_0^1 \left\{[f(x)]^2+[f^{\prime}(x)]^2\right\}\,dx=0\]

\[\Rightarrow [f(x)]^2+[f^{\prime}(x)]^2=0\]

\[\Rightarrow f(x)=0~\forall~x\in[0\,,\,1]\]

\(\mbox{Conversely if, }f(x)=0~\forall~x\in[0\,,\,1]\)

\[\langle f,f\rangle=\langle 0,0\rangle=0\]

\[\therefore \langle f,f\rangle=0\Leftrightarrow f(x)=0~\forall~x\in[0\,,\,1]~~~~~~~~~~~~(5)\]

Hence, \(\langle f,g\rangle\) is an inner product on \(W\).
 

Related to Is $\langle f,g\rangle$ an inner product on $W$?

1. What are the properties that an inner product on $W$ must satisfy?

An inner product on $W$ must satisfy the following properties:

  • Linearity in the first argument: $\langle \alpha f_1 + \beta f_2, g\rangle = \alpha \langle f_1, g\rangle + \beta \langle f_2, g\rangle$
  • Conjugate symmetry: $\langle f,g\rangle = \overline{\langle g,f\rangle}$
  • Positive definiteness: $\langle f,f\rangle > 0$ for all nonzero $f \in W$

2. How is the inner product $\langle f,g\rangle$ related to the norm of $f$ and $g$?

The inner product $\langle f,g\rangle$ is related to the norm of $f$ and $g$ through the following property:

$\langle f,f\rangle = \|f\|^2$ for all $f \in W$

3. What is the significance of the conjugate symmetry property in an inner product?

The conjugate symmetry property in an inner product ensures that the inner product is independent of the order of the arguments. In other words, $\langle f,g\rangle = \overline{\langle g,f\rangle}$ means that swapping $f$ and $g$ in the inner product will not change its value.

4. Can any function $f$ and $g$ in $W$ be used in the inner product $\langle f,g\rangle$?

No, not all functions in $W$ can be used in the inner product $\langle f,g\rangle$. The functions must satisfy the linearity and positive definiteness properties in order for the inner product to be well-defined.

5. How is the concept of orthogonality related to an inner product?

The concept of orthogonality is closely related to an inner product. Two vectors $f$ and $g$ are orthogonal if their inner product $\langle f,g\rangle = 0$. This concept is useful in many fields, such as vector calculus and linear algebra.

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