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In [[mathematics]], the '''Prékopa–Leindler inequality''' is an [[integral]] [[inequality (mathematics)|inequality]] closely related to the [[reverse Young's inequality]], the [[Brunn–Minkowski inequality]] and a number of other important and classical inequalities in [[mathematical analysis|analysis]]. The result is named after the [[Hungary|Hungarian]] [[mathematician]]s [[András Prékopa]] and [[László Leindler]].
 
==Statement of the inequality==
Let 0&nbsp;&lt;&nbsp;''λ''&nbsp;&lt;&nbsp;1 and let ''f'', ''g'', ''h''&nbsp;:&nbsp;'''R'''<sup>''n''</sup>&nbsp;→&nbsp;[0,&nbsp;+∞) be non-[[negative number|negative]] [[real number|real-valued]] [[measurable function]]s defined on ''n''-dimensional [[Euclidean space]] '''R'''<sup>''n''</sup>. Suppose that these functions satisfy
 
{{NumBlk|:|<math>h \left( (1-\lambda)x + \lambda y \right) \geq f(x)^{1 - \lambda} g(y)^{\lambda}</math>|{{EquationRef|1}}}}
 
for all ''x'' and ''y'' in '''R'''<sup>''n''</sup>. Then
 
:<math>\| h\|_{1} := \int_{\mathbb{R}^{n}} h(x) \, \mathrm{d} x \geq \left( \int_{\mathbb{R}^{n}} f(x) \, \mathrm{d} x \right)^{1 -\lambda} \left( \int_{\mathbb{R}^{n}} g(x) \, \mathrm{d} x \right)^{\lambda} =: \| f\|_{1}^{1 -\lambda} \| g\|_{1}^{\lambda}. \, </math>
 
==Essential form of the inequality==
Recall that the [[essential supremum]] of a measurable function ''f''&nbsp;:&nbsp;'''R'''<sup>''n''</sup>&nbsp;→&nbsp;'''R''' is defined by
 
:<math>\mathop{\mathrm{ess\,sup}}_{x \in \mathbb{R}^{n}} f(x) = \inf \left\{ t \in [- \infty, + \infty] | f(x) \leq t \mbox{ for almost all } x \in \mathbb{R}^{n} \right\}.</math>
 
This notation allows the following ''essential form'' of the Prékopa–Leindler inequality: let 0&nbsp;&lt;&nbsp;''λ''&nbsp;&lt;&nbsp;1 and let ''f'', ''g''&nbsp;∈&nbsp;''L''<sup>1</sup>('''R'''<sup>''n''</sup>;&nbsp;[0,&nbsp;+∞)) be non-negative [[absolutely integrable]] functions. Let
 
:<math>s(x) = \mathop{\mathrm{ess\,sup}}_{y \in \mathbb{R}^{n}} f \left( \frac{x - y}{1 - \lambda} \right)^{1 - \lambda} g \left( \frac{y}{\lambda} \right)^{\lambda}.</math>
 
Then ''s'' is measurable and
 
:<math>\| s \|_{1} \geq \| f \|_{1}^{1 - \lambda} \| g \|_{1}^{\lambda}.</math>
 
The essential supremum form was given in.<ref>{{cite journal | authors = [[Herm Jan Brascamp]] and [[Elliott H. Lieb]] | title = On extensions of the Brunn–Minkowski and Prekopa–Leindler theorems, including inequalities for log concave functions and with an application to the diffusion equation | journal = Journal of Functional Analysis | volume = 22 |issue=4 | pages = 366&ndash;389 | year = 1976 |doi=10.1016/0022-1236(76)90004-5 }}</ref>  Its use can change the left side of the inequality. For example, a function ''g'' that takes the value 1 at exactly one point will not usually yield a zero left side in the "non-essential sup" form but it will always yield a zero left side in the "essential sup" form.
 
==Relationship to the Brunn–Minkowski inequality==
It can be shown that the usual Prékopa–Leindler inequality implies the [[Brunn–Minkowski inequality]] in the following form: if 0&nbsp;&lt;&nbsp;''λ''&nbsp;&lt;&nbsp;1 and ''A'' and ''B'' are [[bounded set|bounded]], [[measurable set|measurable subsets]] of '''R'''<sup>''n''</sup> such that the [[Minkowski sum]] (1&nbsp;&minus;&nbsp;''λ'')''A''&nbsp;+&nbsp;λ''B'' is also measurable, then
 
:<math>\mu \left( (1 - \lambda) A + \lambda B \right) \geq \mu (A)^{1 - \lambda} \mu (B)^{\lambda},</math>
 
where ''μ'' denotes ''n''-dimensional [[Lebesgue measure]]. Hence, the Prékopa–Leindler inequality can also be used<ref>Gardner, Richard J. (2002). "The Brunn–Minkowski inequality". Bull. Amer. Math. Soc. (N.S.) 39 (3): pp. 355–405 (electronic). doi:10.1090/S0273-0979-02-00941-2. ISSN 0273-0979.</ref> to prove the Brunn–Minkowski inequality in its more familiar form: if 0&nbsp;&lt;&nbsp;''λ''&nbsp;&lt;&nbsp;1 and ''A'' and ''B'' are non-[[empty set|empty]], [[bounded set|bounded]], [[measurable set|measurable subsets]] of '''R'''<sup>''n''</sup> such that (1&nbsp;&minus;&nbsp;''λ'')''A''&nbsp;+&nbsp;λ''B'' is also measurable, then
 
:<math>\mu \left( (1 - \lambda) A + \lambda B \right)^{1 / n} \geq (1 - \lambda) \mu (A)^{1 / n} + \lambda \mu (B)^{1 / n}.</math>
 
==Applications in probability and statistics==
The Prékopa–Leindler inequality is useful in the theory of [[Logarithmically concave function|log-concave distributions]], as it can be used to show that log-concavity is preserved by [[Marginal distribution|marginalization]] and [[Independence (probability)|independent]] summation of log-concave distributed random variables. Suppose that ''H(x,y)'' is a log-concave distribution for ''(x,y)'' ∈ '''R'''<sup>''m''</sup> × '''R'''<sup>''n''</sup>, so that by definition we have
 
{{NumBlk|:|<math>H \left( (1 - \lambda)(x_1,y_1) + \lambda (x_2,y_2) \right) \geq H(x_1,y_1)^{1 - \lambda} H(x_2,y_2)^{\lambda},</math>|{{EquationRef|2}}}}
 
and let ''M(y)'' denote the marginal distribution obtained by integrating over ''x'':
 
:<math>M(y) = \int_{\mathbb{R}^{m}} H(x,y) dx.</math>
 
Let ''y<sub>1</sub>, y<sub>2</sub>'' ∈ '''R'''<sup>''n''</sup> and 0&nbsp;&lt;&nbsp;''λ''&nbsp;&lt;&nbsp;1 be given. Then equation ({{EquationNote|2}}) satisfies condition ({{EquationNote|1}}) with ''h(x) = H(x,(1-λ)y<sub>1</sub> + λy<sub>2</sub>)'',  ''f(x)'' = ''H(x,y<sub>1</sub>)'' and ''g(x)'' = ''H(x,y<sub>2</sub>)'', so the Prékopa–Leindler inequality applies. It can be written in terms of ''M'' as
 
:<math>M((1-\lambda) y_1 + \lambda y_2) \geq M(y_1)^{1-\lambda} M(y_2)^\lambda,</math>
 
which is the definition of log-concavity for ''M''.
 
To see how this implies the preservation of log-convexity by independent sums, suppose that ''X'' and ''Y'' are independent random variables with log-concave distribution. Since the product of two log-concave functions is log-concave, the joint distribution of ''(X,Y)'' is also log-concave. Log-concavity is preserved by affine changes of coordinates, so the distribution of ''(X+Y,X-Y)'' is log-concave as well. Since the distribution of ''X+Y'' is a marginal over the joint distribution of ''(X+Y,X-Y)'', we conclude that ''X+Y'' has a log-concave distribution.
 
==Notes==
<references/>
 
==References==
* {{cite journal
| last=Gardner
| first=Richard J.
| title=The Brunn–Minkowski inequality
| journal=[[Bulletin of the American Mathematical Society|Bull. Amer. Math. Soc.]] (N.S.)
| volume=39
| issue=3
| year=2002
| pages = pp. 355&ndash;405 (electronic)
| issn = 0273-0979
| url = http://www.ams.org/bull/2002-39-03/S0273-0979-02-00941-2/S0273-0979-02-00941-2.pdf
| doi=10.1090/S0273-0979-02-00941-2
}}
 
* {{ cite journal
| last=Prékopa
| first=András
| title=Logarithmic concave measures with application to stochastic programming
| journal=[[Acta Scientiarum Mathematicarum|Acta Sci. Math.]]
| volume=32
| year=1971
| pages=pp. 301–316
| url=http://rutcor.rutgers.edu/~prekopa/SCIENT1.pdf
}}
 
* {{ cite journal
| last=Prékopa
| first=András
| title=On logarithmic concave measures and functions
| journal=[[Acta Scientiarum Mathematicarum|Acta Sci. Math.]]
| volume=34
| year=1973
| pages=pp. 335–343
| url=http://rutcor.rutgers.edu/~prekopa/SCIENT2.pdf
}}
 
{{DEFAULTSORT:Prekopa-Leindler Inequality}}
[[Category:Geometric inequalities]]
[[Category:Integral geometry]]
[[Category:Real analysis]]
[[Category:Theorems in analysis]]

Revision as of 01:52, 26 January 2014

In mathematics, the Prékopa–Leindler inequality is an integral inequality closely related to the reverse Young's inequality, the Brunn–Minkowski inequality and a number of other important and classical inequalities in analysis. The result is named after the Hungarian mathematicians András Prékopa and László Leindler.

Statement of the inequality

Let 0 < λ < 1 and let f, g, h : Rn → [0, +∞) be non-negative real-valued measurable functions defined on n-dimensional Euclidean space Rn. Suppose that these functions satisfy

Template:NumBlk

for all x and y in Rn. Then

Essential form of the inequality

Recall that the essential supremum of a measurable function f : Rn → R is defined by

This notation allows the following essential form of the Prékopa–Leindler inequality: let 0 < λ < 1 and let f, g ∈ L1(Rn; [0, +∞)) be non-negative absolutely integrable functions. Let

Then s is measurable and

The essential supremum form was given in.[1] Its use can change the left side of the inequality. For example, a function g that takes the value 1 at exactly one point will not usually yield a zero left side in the "non-essential sup" form but it will always yield a zero left side in the "essential sup" form.

Relationship to the Brunn–Minkowski inequality

It can be shown that the usual Prékopa–Leindler inequality implies the Brunn–Minkowski inequality in the following form: if 0 < λ < 1 and A and B are bounded, measurable subsets of Rn such that the Minkowski sum (1 − λ)A + λB is also measurable, then

where μ denotes n-dimensional Lebesgue measure. Hence, the Prékopa–Leindler inequality can also be used[2] to prove the Brunn–Minkowski inequality in its more familiar form: if 0 < λ < 1 and A and B are non-empty, bounded, measurable subsets of Rn such that (1 − λ)A + λB is also measurable, then

Applications in probability and statistics

The Prékopa–Leindler inequality is useful in the theory of log-concave distributions, as it can be used to show that log-concavity is preserved by marginalization and independent summation of log-concave distributed random variables. Suppose that H(x,y) is a log-concave distribution for (x,y)Rm × Rn, so that by definition we have

Template:NumBlk

and let M(y) denote the marginal distribution obtained by integrating over x:

Let y1, y2Rn and 0 < λ < 1 be given. Then equation (Template:EquationNote) satisfies condition (Template:EquationNote) with h(x) = H(x,(1-λ)y1 + λy2), f(x) = H(x,y1) and g(x) = H(x,y2), so the Prékopa–Leindler inequality applies. It can be written in terms of M as

which is the definition of log-concavity for M.

To see how this implies the preservation of log-convexity by independent sums, suppose that X and Y are independent random variables with log-concave distribution. Since the product of two log-concave functions is log-concave, the joint distribution of (X,Y) is also log-concave. Log-concavity is preserved by affine changes of coordinates, so the distribution of (X+Y,X-Y) is log-concave as well. Since the distribution of X+Y is a marginal over the joint distribution of (X+Y,X-Y), we conclude that X+Y has a log-concave distribution.

Notes

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    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  2. Gardner, Richard J. (2002). "The Brunn–Minkowski inequality". Bull. Amer. Math. Soc. (N.S.) 39 (3): pp. 355–405 (electronic). doi:10.1090/S0273-0979-02-00941-2. ISSN 0273-0979.

References

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    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang