Difference between revisions of "Conjugate function"
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1) The function conjugate to a complex-valued function $ f $ | 1) The function conjugate to a complex-valued function $ f $ | ||
− | is the function $ \overline{f} | + | is the function $ \overline{f} $ |
whose values are the complex conjugates of those of $ f $. | whose values are the complex conjugates of those of $ f $. | ||
2) For the function conjugate to a harmonic function see [[Conjugate harmonic functions|Conjugate harmonic functions]]. | 2) For the function conjugate to a harmonic function see [[Conjugate harmonic functions|Conjugate harmonic functions]]. | ||
− | 3) The function conjugate to a $ 2 \pi $- | + | 3) The function conjugate to a $ 2 \pi $-periodic summable function $ f $ |
− | periodic summable function $ f $ | ||
on $ [- \pi , \pi ] $ | on $ [- \pi , \pi ] $ | ||
is given by | is given by | ||
$$ | $$ | ||
− | \overline{f} | + | \overline{f} ( x) = \ |
\lim\limits _ {\epsilon \rightarrow 0+ } \ | \lim\limits _ {\epsilon \rightarrow 0+ } \ | ||
- { | - { | ||
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$$ | $$ | ||
− | it exists almost-everywhere and coincides almost-everywhere with the $ ( C, \alpha ) $- | + | it exists almost-everywhere and coincides almost-everywhere with the $ ( C, \alpha ) $-sum, $ \alpha > 0 $, |
− | sum, $ \alpha > 0 $, | ||
and the Abel–Poisson sum of the [[Conjugate trigonometric series|conjugate trigonometric series]]. | and the Abel–Poisson sum of the [[Conjugate trigonometric series|conjugate trigonometric series]]. | ||
− | 4) The function conjugate to a function $ f: X \rightarrow \overline{\mathbf R} | + | 4) The function conjugate to a function $ f: X \rightarrow \overline{\mathbf R} $ |
defined on a vector space $ X $ | defined on a vector space $ X $ | ||
− | dual to a vector space $ Y $( | + | dual to a vector space $ Y $ (with respect to a bilinear form $ \langle x, y \rangle $) |
− | with respect to a bilinear form $ \langle x, y \rangle $) | ||
is the function on $ Y $ | is the function on $ Y $ | ||
given by | given by | ||
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The conjugate function is a closed convex function. The conjugation operator $ *: f \mapsto f ^ {*} $ | The conjugate function is a closed convex function. The conjugation operator $ *: f \mapsto f ^ {*} $ | ||
establishes a one-to-one correspondence between the family of proper closed convex functions on $ X $ | establishes a one-to-one correspondence between the family of proper closed convex functions on $ X $ | ||
− | and that of proper closed convex functions on $ Y $( | + | and that of proper closed convex functions on $ Y $ (the Fenchel–Moreau theorem). |
− | the Fenchel–Moreau theorem). | ||
For more details see [[#References|[5]]] and [[#References|[6]]]. | For more details see [[#References|[5]]] and [[#References|[6]]]. |
Latest revision as of 01:52, 21 April 2022
A concept in the theory of functions which is a concrete image of some involutory operator for the corresponding class of functions.
1) The function conjugate to a complex-valued function $ f $ is the function $ \overline{f} $ whose values are the complex conjugates of those of $ f $.
2) For the function conjugate to a harmonic function see Conjugate harmonic functions.
3) The function conjugate to a $ 2 \pi $-periodic summable function $ f $ on $ [- \pi , \pi ] $ is given by
$$ \overline{f} ( x) = \ \lim\limits _ {\epsilon \rightarrow 0+ } \ - { \frac{1} \pi } \int\limits _ \epsilon ^ \pi \frac{f ( x + t) - f ( x - t) }{2 \mathop{\rm tan} ( t / 2) } dt; $$
it exists almost-everywhere and coincides almost-everywhere with the $ ( C, \alpha ) $-sum, $ \alpha > 0 $, and the Abel–Poisson sum of the conjugate trigonometric series.
4) The function conjugate to a function $ f: X \rightarrow \overline{\mathbf R} $ defined on a vector space $ X $ dual to a vector space $ Y $ (with respect to a bilinear form $ \langle x, y \rangle $) is the function on $ Y $ given by
$$ \tag{* } f ^ {*} ( y) = \ \sup _ {x \in X } \ ( \langle x, y \rangle - f ( x)). $$
The conjugate of a function defined on $ Y $ is defined in a similar way.
The function conjugate to the function $ f _ {p} ( x) = {| x | ^ {p} } /p $, $ 1 < p < \infty $, of one variable is given by
$$ f _ {q } ( y) = \ \frac{| y | ^ {q } }{q } ,\ \ { \frac{1}{p} } + { \frac{1}{q } } = 1. $$
The function conjugate to the function $ f ( x) = \langle x, x \rangle/2 $ on a Hilbert space $ X $ with scalar product $ \langle , \rangle $ is the function $ \langle y, y \rangle/2 $. The function conjugate to the norm $ N ( x) = \| x \| $ on a normed space is the function $ N ^ {*} ( y) $ which is equal to zero when $ \| y \| < 1 $ and to $ + \infty $ when $ \| y \| > 1 $.
If $ f $ is smooth and increases at infinity faster than any linear function, then $ f ^ {*} $ is just the Legendre transform of $ f $. For one-dimensional strictly-convex functions, a definition equivalent to (*) was given by W.H. Young [1] in other terms. He defined the conjugate of a function
$$ f ( x) = \ \int\limits _ { 0 } ^ { x } \phi ( t) dt, $$
where $ \phi $ is continuous and strictly increasing, by the relation
$$ f ^ {*} ( y) = \ \int\limits _ { 0 } ^ { y } \psi ( t) dt, $$
where $ \psi $ is the function inverse to $ \phi $. Definition (*) was originally proposed by S. Mandelbrojt for one-dimensional functions, by W. Fenchel [2] in the finite-dimensional case, and by J. Moreau [3] and A. Brøndsted [4] in the infinite-dimensional case. For a convex function and its conjugate, Young's inequality holds:
$$ \langle x, y \rangle \leq \ f ( x) + f ^ {*} ( y). $$
The conjugate function is a closed convex function. The conjugation operator $ *: f \mapsto f ^ {*} $ establishes a one-to-one correspondence between the family of proper closed convex functions on $ X $ and that of proper closed convex functions on $ Y $ (the Fenchel–Moreau theorem).
For more details see [5] and [6].
See also Convex analysis; Support function; Duality in extremal problems, Convex analysis; Dual functions.
References
[1] | W.H. Young, "On classes of summable functions and their Fourier series" Proc. Roy. Soc. Ser. A. , 87 (1912) pp. 225–229 Zbl 43.1114.12 Zbl 43.0334.09 |
[2] | W. Fenchel, "On conjugate convex functions" Canad. J. Math. , 1 (1949) pp. 73–77 MR0028365 Zbl 0038.20902 |
[3] | J.J. Moreau, "Fonctions convexes en dualité" , Univ. Montpellier (1962) |
[4] | A. Brøndsted, "Conjugate convex functions in topological vector spaces" Math. Fys. Medd. Danske vid. Selsk. , 34 : 2 (1964) pp. 1–26 Zbl 0119.10004 |
[5] | R.T. Rockafellar, "Convex analysis" , Princeton Univ. Press (1970) MR0274683 Zbl 0193.18401 |
[6] | V.M. Alekseev, V.M. Tikhomirov, S.V. Fomin, "Commande optimale" , MIR (1982) (Translated from Russian) MR728225 |
Comments
The concepts of conjugate harmonic functions and conjugate trigonometric series are not unrelated. Let $ u $ be a harmonic function on the closed unit disc and $ \widetilde{u} $ its harmonic conjugate, so that $ u = \mathop{\rm Re} ( \phi ) $, $ \widetilde{u} = \mathop{\rm Im} ( \phi ) $, where $ \phi $ is the analytic function $ u + i \widetilde{u} $. Let $ g ( t) $ be the boundary value function of $ u $, i.e. $ g ( t) = u ( e ^ {it} ) $. Then one has the Poisson integral representation
$$ u ( re ^ {i \theta } ) = \int\limits _ {- \pi } ^ \pi P _ {r} ( \theta - t) g ( t) dt , $$
where
$$ P _ {r} ( s) = \frac{1}{2 \pi } \mathop{\rm Re} \frac{1 + re ^ {is} }{1 - re ^ {is} } , $$
and
$$ \widetilde{u} ( re ^ {i \theta } ) = \ \int\limits _ {- \pi } ^ \pi Q _ {r} ( \theta - t) g ( t) dt , $$
with
$$ Q _ {r} = { \frac{1}{2 \pi } } \mathop{\rm Im} \frac{1 + re ^ {is} }{1 - re ^ {is} } . $$
Then letting $ r \uparrow 1 $, (formally)
$$ \widetilde{u} ( e ^ {i \theta } ) = { \frac{1}{2 \pi } } \int\limits _ { 0 } ^ \pi \frac{g ( \theta - t) - g ( \theta + t) }{ \mathop{\rm tan} ( t / 2) } dt $$
is precisely the conjugate trigonometric series of $ g ( t) $.
References
[a1] | A. Zygmund, "Trigonometric series" , 1–2 , Cambridge Univ. Press (1959) MR0107776 Zbl 0085.05601 |
Conjugate function. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Conjugate_function&oldid=52274