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Functionals Mappings from a vector space to the real numbers are sometimes called functionals. ${ }^3$ Determine whether the transformations in Problems 70-73 are linear functionals from $C[0,1]$ to $\mathbb{R}$. $T(f)=\int_Q^1|f(t)| d t$

   Functionals Mappings from a vector space to the real numbers are sometimes called functionals. ${ }^3$ Determine whether the transformations in Problems 70-73 are linear functionals from $C[0,1]$ to $\mathbb{R}$.
$T(f)=\int_Q^1|f(t)| d t$
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Differential Equations & Linear Algebra
Differential Equations & Linear Algebra
Farlow, Hall,… 2nd Edition
Chapter 5, Problem 71 ↓

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We need to determine whether the transformation \( T(f) = \int_0^1 |f(t)| \, dt \) is a linear functional from the space of continuous functions on the interval \([0,1]\), denoted \( C[0,1] \), to the real numbers \( \mathbb{R} \). Step 2: Recall the definition  Show more…

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Functionals Mappings from a vector space to the real numbers are sometimes called functionals. ${ }^3$ Determine whether the transformations in Problems 70-73 are linear functionals from $C[0,1]$ to $\mathbb{R}$. $T(f)=\int_Q^1|f(t)| d t$
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Key Concepts

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Linear Functionals
A linear functional is a mapping from a vector space to its field of scalars that satisfies the properties of additivity and homogeneity. This means that for any functions f and g in the vector space and any scalar a, a linear functional T must satisfy T(f + g) = T(f) + T(g) and T(af) = aT(f).
Linearity
Linearity is a core property of many transformations in linear algebra and functional analysis. It requires that both the sum of inputs and scaling by a constant are preserved under the transformation. Without these properties, a transformation cannot be classified as linear.
Integral Operators
Integral operators, which map functions to real numbers by integrating them over a specified interval, are often linear when the integrand is a linear function of the input. However, any non-linear manipulation of the function before integration can compromise this linearity.
Absolute Value and Nonlinearity
The absolute value function is nonlinear because it does not preserve the properties of additivity and homogeneity. When an absolute value is applied to a function inside an integral, it generally causes the overall mapping to fail the criteria of linearity, even if integration itself is a linear operation.

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Determine whether the following are linear transformations from $C[0,1]$ into $\mathbb{R}^{1}$ : (a) $L(f)=f(0)$ (b) $L(f)=|f(0)|$ (c) $L(f)=[f(0)+f(1)] / 2$ (d) $L(f)=\left\{\int_{0}^{1}[f(x)]^{2} d x\right\}^{1 / 2}$

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